{"type": "FeatureCollection", "features": [{"id": "10.5846/stxb201401160132", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:17Z", "type": "Journal Article", "created": "2014-11-19", "keywords": ["0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "01 natural sciences", "0105 earth and related environmental sciences"], "contacts": [{"organization": "\u5d14\u6b63\u52c7 Cui Zhengyong, T. Y. Ning, \u674e\u589e\u5609 Li Zengjia, N. Li, Y. Liu, H. F. Han, \u674e\u5a1c Li Na, S. Z. Tian, \u5b81\u5802\u539f Ning Tangyuan, Z. Y. Cui, L. W. Guo, Z. J. Li, \u90ed\u5229\u4f1f Guo Liwei, \u7530\u614e\u91cd Tian Shenzhong, \u5218\u8f76 Liu Yi, \u97e9\u60e0\u82b3 Han Huifang,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5846/stxb201401160132"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Acta%20Ecologica%20Sinica", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5846/stxb201401160132", "name": "item", "description": "10.5846/stxb201401160132", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5846/stxb201401160132"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-01-01T00:00:00Z"}}, {"id": "10.5846/stxb201311192767", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:17Z", "type": "Journal Article", "created": "2015-06-10", "description": "\u4eba\u7c7b\u6d3b\u52a8\u5f15\u8d77\u9646\u5730\u751f\u6001\u7cfb\u7edf\u6c2e\u8f93\u5165\u6c34\u5e73\u6301\u7eed\u5347\u9ad8\uff0c\u5bf9\u5168\u7403\u78b3\u5faa\u73af\u4ea7\u751f\u5f71\u54cd\u3002\u4e3a\u63a2\u7a76\u6c2e\u7d20\u5bf9\u571f\u58e4\u547c\u5438\u7684\u5f71\u54cd\uff0c2010\u5e746\u6708\u81f32012\u5e741\u6708\uff0c\u91c7\u7528\u6c2e\u6dfb\u52a0\u8bd5\u9a8c\u5bf9\u4e9a\u70ed\u5e26\u6e7f\u5730\u677e\u6797\u7684\u571f\u58e4\u547c\u5438\u8fdb\u884c\u4e86\u7814\u7a76\u3002\u8bd5\u9a8c\u5171\u8bbe\u7f6e4\u79cd\u6c2e\u6dfb\u52a0\u6c34\u5e73\uff1a\u5bf9\u7167CK\uff0c0gm-2a-1\uff1b\u4f4e\u6c2eLN\uff0c5gm-2a-1\uff1b\u4e2d\u6c2eMN\uff0c15gm-2a-1\uff1b\u9ad8\u6c2eHN\uff0c30gm-2a-1\uff1b\u6bcf\u6708\u4e0a\u3001\u4e0b\u65ec\u91c7\u7528Li\u2014cor8100\u6d4b\u5b9a\u571f\u58e4\u547c\u5438\u901f\u7387\u3002\u7ed3\u679c\u8868\u660e\uff1a\uff081\uff09\u6c2e\u6dfb\u52a0\u5bf9\u571f\u58e4\u547c\u5438\u6709\u7740\u663e\u8457\u7684\u6291\u5236\u4f5c\u7528\uff0cLN\u3001MN\u548cHN\u5904\u7406\u7684\u571f\u58e4\u547c\u5438\u5e74\u7d2f\u79ef\u91cf\u8f83CK\u5904\u7406\u5206\u522b\u964d\u4f4e\u4e8626\uff0e6\uff05\u300123\uff0e7\uff05\u548c29\uff0e5\uff05\uff0c\u800c\u65bd\u6c2e\u5904\u7406\u95f4\u7684\u571f\u58e4\u547c\u5438\u65e0\u663e\u8457\u5dee\u5f02\uff1b\uff082\uff09\u6797\u5206\u751f\u957f\u671f\u95f4\uff086\u20149\u6708\uff09\uff0c\u65cc\u6c2e\u7b2c1\u5e74\u7684\u571f\u58e4\u547c\u5438\u6240\u53d7\u6291\u5236\u4f5c\u7528\u663e\u8457\u9ad8\u4e8e\u7b2c2\u5e74\u540c\u671f\u7684\u6c34\u5e73\uff0c\u663e\u793a\u65bd\u6c2e\u5bf9\u571f\u58e4\u547c\u5438\u7684\u5f71\u54cd\u968f\u65f6\u95f4\u7684\u63a8\u79fb\u800c\u964d\u4f4e\uff1b\uff083\uff09\u6e7f\u5730\u677e\u6797\u571f\u58e4\u547c\u5438\u5b58\u5728\u660e\u663e\u7684\u5b63\u8282\u52a8\u6001\uff0c\u6700\u5927\u503c\u51fa\u73b0\u57288\u6708\uff08356\uff0e32mgCO2m-2h-1\uff09\uff0c\u6700\u5c0f\u503c\u51fa\u73b0\u57281\u6708\uff0899\uff0e12mgCO2m-2h-1\uff09\uff0c\u65bd\u6c2e\u5904\u7406\u5e76\u4e0d\u6539\u53d8\u571f\u58e4\u547c\u5438\u7684\u5b63\u8282\u6027\u53d8\u5316\u89c4\u5f8b\uff1b\uff084\uff09CK\u5904\u7406\u6797\u5206\u4e2d\uff0c\u571f\u58e4\u547c\u5438\u4e0e\u571f\u58e4\u6e29\u5ea6\u95ee\u5b58\u5728\u6781\u663e\u8457\u7684\u6307\u6570\u5173\u7cfb\uff0c\u800c\u4e0e\u571f\u58e4\u6e7f\u5ea6\u65e0\u663e\u8457\u76f8\u5173\u3002\u65bd\u6c2e\u5904\u7406\u6ca1\u6709\u6539\u53d8\u571f\u58e4\u547c\u5438\u4e0e\u571f\u58e4\u6e29\u5ea6\u4e4b\u95f4\u7684\u76f8\u4e92\u5173\u7cfb\uff0c\u4f46\u6291\u5236\u4e86\u571f\u58e4\u547c\u5438\u7684\u6e29\u5ea6\u654f\u611f\u6027\uff08Q10\uff09\uff1b\uff085\uff09\u65bd\u6c2e\u5904\u7406\u663e\u8457\u51cf\u5c11\u4e86\u6797\u5206\u51cb\u843d\u7269\u91cf\u3001\u571f\u58e4\u5fae\u751f\u7269\u78b3\u3001\u6c2e\u91cf\uff0c\u5e76\u8f7b\u5fae\u6291\u5236\u4e86\u7ec6\u6839\u751f\u7269\u91cf\uff0c\u8fd9\u4e9b\u6539\u53d8\u5bfc\u81f4\u4e86\u571f\u58e4\u547c\u5438\u7684\u4e0b\u964d\u3002\u4e0a\u8ff0\u7ed3\u679c\u8868\u660e\u65bd\u6c2e\u4f1a\u663e\u8457\u6291\u5236\u4e9a\u70ed\u5e26\u6e7f\u5730\u677e\u6797\u7684\u571f\u58e4\u547c\u5438\u901f\u7387\uff0c\u800c\u8fd9\u79cd\u6291\u5236\u4f5c\u7528\u5c06\u968f\u7740\u65f6\u95f4\u7684\u63a8\u79fb\u800c\u964d\u4f4e\u3002", "keywords": ["0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "01 natural sciences", "0105 earth and related environmental sciences"], "contacts": [{"organization": "\u5218\u76ca\u541b LIU Yijun, \u95eb\u6587\u5fb7 YAN Wende, \u90d1\u5a01 ZHENG Wei, \u738b\u5149\u519b WANG Guangjun, \u5f20\u5f90\u6e90 ZHANG Xuyuan, \u6881\u5c0f\u7fe0 LIANG Xiaocui, \u9ad8\u8d85 GAO Chao,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5846/stxb201311192767"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Acta%20Ecologica%20Sinica", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5846/stxb201311192767", "name": "item", "description": "10.5846/stxb201311192767", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5846/stxb201311192767"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-01-01T00:00:00Z"}}, {"id": "10.5846/stxb201312092918", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:17Z", "type": "Journal Article", "created": "2014-09-09", "keywords": ["0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "01 natural sciences", "0105 earth and related environmental sciences"], "contacts": [{"organization": "\u6c6a\u91d1\u677e Wang Jinsong, \u5218\u661f Liu Xing, \u8d75\u79c0\u6d77 Zhao Xiuhai,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5846/stxb201312092918"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Acta%20Ecologica%20Sinica", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5846/stxb201312092918", "name": "item", "description": "10.5846/stxb201312092918", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5846/stxb201312092918"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-01-01T00:00:00Z"}}, {"id": "10.5846/stxb201401120084", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:17Z", "type": "Journal Article", "created": "2014-11-19", "keywords": ["0202 electrical engineering", " electronic engineering", " information engineering", "02 engineering and technology", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.5846/stxb201401120084"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Acta%20Ecologica%20Sinica", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5846/stxb201401120084", "name": "item", "description": "10.5846/stxb201401120084", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5846/stxb201401120084"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-01-01T00:00:00Z"}}, {"id": "10.5846/stxb201501090073", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-04-03T16:26:17Z", "type": "Journal Article", "created": "2015-11-17", "keywords": ["01 natural sciences", "0105 earth and related environmental sciences"], "contacts": [{"organization": "\u6797\u4e3d LIN Li, \u5f20\u5fb7\u7f61 ZHANG Denggang, \u66f9\u5e7f\u6c11 CAO Guangmin, \u6b27\u9633\u7ecf\u653f OUYANG Jingzheng, \u67ef\u6d54 KE Xun, \u5218\u6dd1\u4e3d LIU Shuli, \u5f20\u6cd5\u4f1f ZHANG Fawei, \u674e\u4ee5\u5eb7 LI Yikang, \u90ed\u5c0f\u4f1f GUO Xiaowei,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5846/stxb201501090073"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Acta%20Ecologica%20Sinica", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5846/stxb201501090073", "name": "item", "description": "10.5846/stxb201501090073", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5846/stxb201501090073"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-01-01T00:00:00Z"}}, {"id": "10.5846/stxb201501190161", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:17Z", "type": "Journal Article", "created": "2015-12-13", "keywords": ["0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "01 natural sciences", "0105 earth and related environmental sciences"], "contacts": [{"organization": "\u5411\u5143\u5f6c XIANG Yuanbin, \u9ec4\u4ece\u5fb7 HUANG Congde, \u80e1\u5ead\u5174 HU Tingxing, \u6d82\u5229\u534e TU Lihua, \u5468\u4e16\u5174 ZHOU Shixing, \u8096\u6c38\u7fd4 XIAO Yongxiang, \u9ad8\u4fdd\u4e39 GAO Baodan,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5846/stxb201501190161"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Acta%20Ecologica%20Sinica", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5846/stxb201501190161", "name": "item", "description": "10.5846/stxb201501190161", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5846/stxb201501190161"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-01-01T00:00:00Z"}}, {"id": "10.5846/stxb201705150893", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:17Z", "type": "Journal Article", "created": "2018-05-11", "keywords": ["0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.5846/stxb201705150893"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Acta%20Ecologica%20Sinica", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5846/stxb201705150893", "name": "item", "description": "10.5846/stxb201705150893", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5846/stxb201705150893"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-01T00:00:00Z"}}, {"id": "10.5846/stxb201704270772", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:17Z", "type": "Journal Article", "created": "2018-05-11", "description": "Soil nitrifiers and denitrifiers play key roles in determining soil nitrogen (N) availability, nitrate leaching, and N2O emission, and thus they could be indicative to the effects of grazing intensity on grassland ecosystems as well as grassland degradation. In this study, soil samples were collected from a long-term field experiment with different grazing intensities (low-level, middle-level, and high-level grazing) in arid and semi-arid grasslands in Inner Mongolia. We analyzed the responses of ammonia-oxidizing archaea (AOA), ammonia-oxidizing bacteria (AOB), and denitrifiers, in terms of abundance, community composition, and diversity, at different grazing intensities using real-time PCR and terminal restriction fragment length polymorphism (T-RFLP) approaches. The results showed that soil pH and ammonium content ranged from 7.90-8.18 and 6.37-35.92 mg/kg, respectively. Middle-level grazing significantly increased soil pH (P = 0.03), whereas soil ammonium content was recorded as the highest in the high-level grazing treatment (P =0.02). Soil heterotrophic respiration was markedly lower owing to the effects of grazing intensity than that in the non-grazing treatment (P = 0.02). AOA-amoA and AOB-amoA gene abundances rang ed from (4.94-7.60) \u00d7 109 and (0.68-3.75) \u00d7 106 copies/g dry soil, respectively. AOA-amoA gene abundance showed no significant change in any of the treatments, whereas middle-level grazing strongly decreased AOB-amoA gene abundance (P =0.04). The abundance of nosZ gene (coding for nitrous oxide reductase) was significantly decreased in the low-level grazing treatment (P = 0. 03). The abundances of AOA and AOB were significantly influenced by ammonium content, whereas nosZ gene abundance was influenced by substrate content and soil aeration. Redundancy analysis showed that the variation in N availability induced by grazing was the major factor influencing the community composition of ammonia oxidizers and denitrifiers.", "keywords": ["2. Zero hunger", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "6. Clean water", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.5846/stxb201704270772"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Acta%20Ecologica%20Sinica", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5846/stxb201704270772", "name": "item", "description": "10.5846/stxb201704270772", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5846/stxb201704270772"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-01T00:00:00Z"}}, {"id": "10.5849/sjaf.12-028", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:17Z", "type": "Journal Article", "created": "2013-11-28", "title": "Forest Carbon Dynamics Associated With Growth And Disturbances In Oklahoma And Texas, 1992-2006", "description": "Quantifying forest carbon changes associated with growth and major disturbances is important for management of greenhouse gas emissions related to forests. Regional-level approaches with improved local growth data may refine estimates obtained using coarser resolution information. This study integrates remote-sensing-derived land cover change products, harvest data, forest fire data, and local forest growth estimates at the county level to identify forest ecosystem carbon change for the states of Oklahoma and Texas (1992-2006). Whereas Oklahoma was a carbon sink of 0.5 Tg C yr-1, Texas was estimated to be a carbon source of -1.8 Tg C yr-1 for the period. The two states together functioned as a carbon source of -1.3 Tg C yr-1 for the entire period, although it was a small sink of 0.1 Tg C yr-1 in the recent period of 2001-2006 due to reduced annual rates of net forest-to-nonforest conversion and harvesting, compared to those in the early period of 1992-2001. Most counties located in the western portions of both states were small sinks of carbon during the period. Even though their growth rates are greater, many counties in the eastern portions of both states were carbon sources due to a higher intensity of forest-related disturbances. A sensitivity analysis was conducted to investigate possible double-counting of harvest and cover change by assuming half of the sequestration and emissions from land cover changes were already counted as harvest. Results indicated Oklahoma would be a sink of 1.0 Tg C yr-1, and Texas would be a small carbon source of -0.1 Tg C yr-1. Uncertainty in forest area for the western portions of these states remains an important source of potential error.", "keywords": ["Carbon sequestration", "0106 biological sciences", "Net carbon exchange", "13. Climate action", "Major disturbances", "Carbon emission", "15. Life on land", "Ecological region", "Forest Sciences", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.5849/sjaf.12-028"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Southern%20Journal%20of%20Applied%20Forestry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5849/sjaf.12-028", "name": "item", "description": "10.5849/sjaf.12-028", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5849/sjaf.12-028"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-11-01T00:00:00Z"}}, {"id": "10.5849/jof.12-043", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-03T16:26:17Z", "type": "Journal Article", "created": "2013-05-28", "title": "A Comprehensive Greenhouse Gas Balance For A Forest Company Operating In Northeast North America", "keywords": ["0106 biological sciences", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.5849/jof.12-043"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Forestry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5849/jof.12-043", "name": "item", "description": "10.5849/jof.12-043", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5849/jof.12-043"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-05-02T00:00:00Z"}}, {"id": "10.5849/wjaf.12-006", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-04-03T16:26:17Z", "type": "Journal Article", "created": "2013-04-05", "title": "Carbon Credit Possibilities And Economic Implications Of Fuel Reduction Treatments", "description": "We determined the difference in carbon (C) stocks and C emissions between treated and untreated ponderosa pine stands over 100 years on the Apache and Sitgreaves National Forests, Arizona, USA, under assumed treatment scenarios, wildfire frequency, and annual percentage of area burned. Compared with the no-action scenario, total C stocks (live and dead biomass) were lower in the treatment scenarios because of timber removals from thinnings, whereas aboveground live C stocks were higher in the treatment scenarios. When total C stocks were used as the baseline, net present values (NPVs) of treatments were in the range of -$759.42 and -$722.58 ha-1 if timber and reduced requirement for C in a buffer pool were assumed to be creditable, and NPVs increased significantly if C in wood products was also eligible for C credit. When aboveground live C stocks were chosen as the baseline, NPVs ranged from -$759.42 to $2,700.44 ha-1 with revenues from timber stumpage value, reduced buffer pool, and/or C in wood products. C emissions from simulated wildfires were lower in the two treatment scenarios than in the no-action scenario. The heavier thinning treatment resulted in lower C emissions from wildfires than with the lighter thinning treatment.", "keywords": ["13. Climate action", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Alex Finkral, Ching Hsun Huang, Tibor Vegh,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5849/wjaf.12-006"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Western%20Journal%20of%20Applied%20Forestry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5849/wjaf.12-006", "name": "item", "description": "10.5849/wjaf.12-006", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5849/wjaf.12-006"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-04-01T00:00:00Z"}}, {"id": "10.60692/2ezcc-55g95", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:18Z", "type": "Journal Article", "created": "2021-11-28", "title": "Impacts of Farming Layer Constructions on Cultivated Land Quality under the Cultivated Land Balance Policy", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Cultivated Land Balance Policy (CLBP) has led to the \u201cbetter land occupied and worse land supplemented\u201d program. At the same time, the current field-scale cultivated land quality (CLQ) evaluation cannot meet the work requirements of the CLBP. To this end, this study selected 24 newly added farmland in Fuping County and performed eight different high quality farming layer construction experiments to improve the CLQ. A new comprehensive model was constructed on a field scale to evaluate the CLQ using different tests from multi-dimensional perspectives of soil fertility, engineering, environment, and ecology, and to determine the best test mode. The results showed that after the test, around 62% of the cultivated land improved by one level, and the average cultivated land quality level and quality index of the test area increased by 0.63 and 30.63, respectively. The treatment of \u201cwoody peat + rotten crop straw + biostimulation regulator II + conventional fertilization\u201d had the best effect on the improvement of organic matter, soil aggregates, and soil microbial activity, and was the best treatment method. In general, application of soil amendments, such as woody peat when constructing high quality farmland, could quickly improve CLQ, and field-scale CLQ evaluation model constructed from a multi-dimensional perspective could accurately assess the true quality of farmland and allow managers to improve and manage arable land resources under CLBP.</p></article>", "keywords": ["Scale (ratio)", "cultivated land quality evaluation", "Agricultural engineering", "Agricultural and Biological Sciences", "Engineering", "Soil Evaluation", "Agricultural land", "Soil water", "Arable land", "cultivated land quality evaluation; field scale; high-quality farming layer; woody peat", "2. Zero hunger", "Global and Planetary Change", "Global Analysis of Ecosystem Services and Land Use", "Geography", "Ecology", "S", "high-quality farming layer", "Life Sciences", "Land Suitability", "Land-Use Suitability Assessment Using GIS", "Land reclamation", "Agriculture", "04 agricultural and veterinary sciences", "woody peat", "Soil Erosion and Agricultural Sustainability", "Agricultural Land Use", "6. Clean water", "FOS: Philosophy", " ethics and religion", "Physical Sciences", "Quality (philosophy)", "field scale", "Cartography", "Soil Science", "Epistemology", "Management", " Monitoring", " Policy and Law", "Soil quality", "Environmental science", "Crop Suitability", "Agroforestry", "Biology", "Soil science", "Peat", "15. Life on land", "Topsoil", "Philosophy", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Land use", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "http://www.mdpi.com/2073-4395/11/12/2403/pdf"}, {"href": "https://doi.org/10.60692/2ezcc-55g95"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.60692/2ezcc-55g95", "name": "item", "description": "10.60692/2ezcc-55g95", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.60692/2ezcc-55g95"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-25T00:00:00Z"}}, {"id": "10.5897/ajar11.507", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-03T16:26:18Z", "type": "Journal Article", "created": "2012-05-23", "description": "Use of legume cover crops has been reported to improve maize productivity through various mechanisms that include improved soil mineral N supply and weed control. However, in the smallholder irrigation farming sector, where maize is the staple crop, strategies for intercropping summer legume cover crops are often a challenge for farmers.\u00a0Field experiments were conducted in a warm-temperate region of South Africa during the summer season of 2007/08 and 2008/09\u00a0to investigate the effects of strip intercropping patterns (3:2; 4:2 and 6:2 patterns) on the productivity of maize\u00a0(cv. PAN 6479) together\u00a0with mucuna or sunnhemp. The strip-intercrop patterns did not result in improved soil mineral N or weed control.\u00a0Maize yields from rows adjacent to the cover crop strips were significantly (P < 0.01) lower than other rows. The 3:2 strip intercropping pattern slightly depressed yields; however, yield reduction was more pronounced in the 1st\u00a0season where water stress was experienced with maize partial land equivalent ratios (PLER) of 0.55 and 0.98 in the 2007/08 and 2008/09 seasons respectively. A long winter fallow period reduced the positive impact of legume cover crops on soil mineral N and weed control benefits, resulting in no observable yield increase in a subsequent maize crop.\u00a0Summer legume cover crops may enhance productivity of winter food/cash crops; however, this requires further investigation.     \u00a0     Key words:\u00a0Maize, mucuna, smallholder farms, strip-intercropping, sunnhemp.", "keywords": ["2. Zero hunger", "0106 biological sciences", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"], "contacts": [{"organization": "F. S. Murungu, P. Muchaonyerwa, Cornelius Chiduza,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5897/ajar11.507"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/AFRICAN%20JOURNAL%20OF%20AGRICULTURAL%20RESEEARCH", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5897/ajar11.507", "name": "item", "description": "10.5897/ajar11.507", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5897/ajar11.507"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-10-26T00:00:00Z"}}, {"id": "10.60692/t1jsz-vm842", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:19Z", "type": "Journal Article", "created": "2019-07-29", "title": "EVAPOTRANSPIRATION AND EVAPORATION/TRANSPIRATION RETRIEVAL USING DUAL-SOURCE SURFACE ENERGY BALANCE MODELS INTEGRATING VIS/NIR/TIR DATA WITH SATELLITE SURFACE SOIL MOISTURE INFORMATION", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Evapotranspiration is an important component of the water cycle. For the agronomic management and ecosystem health monitoring, it is also important to provide an estimate of evapotranspiration components, i.e. transpiration and soil evaporation. To do so, Thermal InfraRed data can be used with dual-source surface energy balance models, because they solve separate energy budgets for the soil and the vegetation. But those models rely on specific assumptions on raw levels of plant water stress to get both components (evaporation and transpiration) out of a single source of information, namely the surface temperature. Additional information from remote sensing data are thus required. This works evaluates the ability of the SPARSE dual-source energy balance model to compute not only total evapotranspiration, but also water stress and transpiration/evaporation components, using either the sole surface temperature as a remote sensing driver, or a combination of surface temperature and soil moisture level derived from microwave data. Flux data at an experimental plot in semi-arid Morocco is used to assess this potentiality and shows the increased robustness of both the total evapotranspiration and partitioning retrieval performances. This work is realized within the frame of the Phase A activities for the TRISHNA CNES/ISRO Thermal Infra-Red satellite mission.                     </p></article>", "keywords": ["Technology", "Environmental Engineering", "550", "Ecosystem Resilience", "Soil Moisture", "Evaporation", "Energy balance", "Biochemistry", "Environmental science", "Transpiration", "Meteorology", "Artificial Intelligence", "Soil water", "Thermal Infrared", "Applied optics. Photonics", "Machine Learning Methods for Solar Radiation Forecasting", "Photosynthesis", "TRISHNA", "Water balance", "Biology", "Soil science", "Global and Planetary Change", "Water content", "Evapotranspiration", "Geography", "Ecology", "Global Forest Drought Response and Climate Change", "T", "FOS: Environmental engineering", "Geology", "FOS: Earth and related environmental sciences", "Remote sensing", "15. Life on land", "Engineering (General). Civil engineering (General)", "Remote Sensing of Soil Moisture", "6. Clean water", "TA1501-1820", "[SDE.MCG] Environmental Sciences/Global Changes", "Chemistry", "Geotechnical engineering", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Computer Science", "TA1-2040", "Water cycle"]}, "links": [{"href": "https://doi.org/10.60692/t1jsz-vm842"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20International%20Archives%20of%20the%20Photogrammetry%2C%20Remote%20Sensing%20and%20Spatial%20Information%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.60692/t1jsz-vm842", "name": "item", "description": "10.60692/t1jsz-vm842", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.60692/t1jsz-vm842"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-07-26T00:00:00Z"}}, {"id": "10.5897/ajb2007.000-2283", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:18Z", "type": "Journal Article", "created": "2016-07-22", "description": "Compared to sole soybean, intercropping soybean and maize on flat and ridge reduced yields by 1.0 \u201329.1% and 29.4 - 40.2% respectively. In maize, intercropping on flat and ridge reduced yields by 13.2 -25.2% and 24.8 - 43.5% respectively. Planting sole soybean on ridge enhanced mean yield by 18.6% as compared to the sole crop yield on flat. Conversely, planting sole maize on flat enhanced grain yield by2.8%. Intercropping soybean and maize on flat resulted in optimum yields. The maximum combined intercrop revenue from maize and soybean was from inter + intra-row planting arrangement on flat. However, it was less than total revenue from sole soybean on ridge by 5.88%.", "keywords": ["2. Zero hunger", "0401 agriculture", " forestry", " and fisheries", "Intercropping", " flat", " ridge", " yield", " soybean", " maize.", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"], "contacts": [{"organization": "J. A. Raji", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5897/ajb2007.000-2283"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/African%20Journal%20of%20Biotechnology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5897/ajb2007.000-2283", "name": "item", "description": "10.5897/ajb2007.000-2283", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5897/ajb2007.000-2283"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-08-31T00:00:00Z"}}, {"id": "10.5943/mycosphere/14/1/23", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:18Z", "type": "Journal Article", "created": "2024-03-21", "title": "Global consortium for the classification of fungi and fungus-like taxa", "description": "The Global Consortium for the Classification of Fungi and fungus-like taxa is an international initiative of more than 550 mycologists to develop an electronic structure for the classification of these organisms. The members of the Consortium originate from 55 countries/regions worldwide, from a wide range of disciplines, and include senior, mid-career and early-career mycologists and plant pathologists. The Consortium will publish a biannual update of the Outline of Fungi and fungus-like taxa, to act as an international scheme for other scientists. Notes on all newly published taxa at or above the level of species will be prepared and published online on the Outline of Fungi website (https://www.outlineoffungi.org/), and these will be finally published in the biannual edition of the Outline of Fungi and fungus-like taxa. Comments on recent important taxonomic opinions on controversial topics will be included in the biannual outline. For example, \u2018to promote a more stable taxonomy in Fusarium given the divergences over its generic delimitation\u2019, or \u2018are there too many genera in the Boletales?\u2019 and even more importantly, \u2018what should be done with the tremendously diverse \u2018dark fungal taxa?\u2019 There are undeniable differences in mycologists\u2019 perceptions and opinions regarding species classification as well as the establishment of new species. Given the pluralistic nature of fungal taxonomy and its implications for species concepts and the nature of species, this consortium aims to provide a platform to better refine and stabilise fungal classification, taking into consideration views from different parties. In the future, a confidential voting system will be set up to gauge the opinions of all mycologists in the Consortium on important topics. The results of such surveys will be presented to the International Commission on the Taxonomy of Fungi (ICTF) and the Nomenclature Committee for Fungi (NCF) with opinions and percentages of votes for and against. Criticisms based on scientific evidence with regards to nomenclature, classifications, and taxonomic concepts will be welcomed, and any recommendations on specific taxonomic issues will also be encouraged; however, we will encourage professionally and ethically responsible criticisms of others\u2019 work. This biannual ongoing project will provide an outlet for advances in various topics of fungal classification, nomenclature, and taxonomic concepts and lead to a community-agreed classification scheme for the fungi and fungus-like taxa. Interested parties should contact the lead author if they would like to be involved in future outlines.", "keywords": ["[SDE] Environmental Sciences", "570", "Biologisk systematik", "scientific criticism", "Evolution", "[SPI] Engineering Sciences [physics]", "[SDV]Life Sciences [q-bio]", "Plant Science", "Biological Systematics", "[SPI]Engineering Sciences [physics]", "taxonomy", "Behavior and Systematics", "taksonomia", "580", "Ecology", "klasyfikacja", "classification", " nomenclature", " scientific criticism", " taxonomy", "Botany", "Botanik", "500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::570 Biowissenschaften; Biologie", "15. Life on land", "classification; nomenclature; scientific criticism; taxonomy", "naukowy krytycyzm", "nomenklatura", "[STAT] Statistics [stat]", "[STAT]Statistics [stat]", "[SDV] Life Sciences [q-bio]", "classification", "[SDE]Environmental Sciences", "nomenclature", "QK01 Systematic botany / n\u00f6v\u00e9nyrendszertan"]}, "links": [{"href": "https://www.research.unipd.it/bitstream/11577/3509765/2/5.%20Hyde%20et%20al%202023.pdf"}, {"href": "https://doi.org/10.5943/mycosphere/14/1/23"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Mycosphere", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5943/mycosphere/14/1/23", "name": "item", "description": "10.5943/mycosphere/14/1/23", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5943/mycosphere/14/1/23"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-01T00:00:00Z"}}, {"id": "10.60692/xntey-14051", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:19Z", "type": "Journal Article", "created": "2022-04-26", "title": "Hierarquiza\u00e7\u00e3o de melhores ligantes a serem aplicados na imprima\u00e7\u00e3o betuminosa de rodovias em fun\u00e7\u00e3o de caracter\u00edsticas tecnol\u00f3gicas e ambientais", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>A busca pela compreens\u00e3o do comportamento dos ligantes menos poluentes quando comparado ao asfalto dilu\u00eddo de petr\u00f3leo (CM-30) para servi\u00e7o de imprima\u00e7\u00e3o motivou esta pesquisa. Assim, hierarquizou-se ligantes comerciais e alternativos aplic\u00e1veis em servi\u00e7os de imprima\u00e7\u00e3o pelos crit\u00e9rios tecnol\u00f3gicos e ambientais. Para tanto, verificou-se os par\u00e2metros: penetra\u00e7\u00e3o, coes\u00e3o, ader\u00eancia, desgaste superficial e ambiental de bases imprimadas com solos diferentes, usando-se o CM-30 como refer\u00eancia e seis ligantes alternativos: G8, G14, G15, G17, G18 e uma emuls\u00e3o especial para imprima\u00e7\u00e3o - E1. Na base arenosa, o tipo de fluido preponderou sobre os par\u00e2metros avaliados. J\u00e1 na base argilosa, varia\u00e7\u00f5es de umidade alteraram esses par\u00e2metros. Assim, G14 apresentou-se promissor frente ao CM-30 seguido dos ligantes G8 e G18. Entretanto, o ligante G18 se mostrou invi\u00e1vel pelo gasto de energia para sua aplica\u00e7\u00e3o, cerca de 120\u00b0. Na an\u00e1lise ambiental, o G8 emitiu menos vol\u00e1t\u00e9is que o CM-30, sendo t\u00e9cnica e ambientalmente mais autossustent\u00e1vel.</p></article>", "keywords": ["TA1001-1280", "Automated Pavement Inspection and Maintenance", "Physics", "05 social sciences", "Seismic Design and Analysis of Underground Structures", "FOS: Humanities", "01 natural sciences", "Transportation engineering", "Humanities", "Engineering", "Imprima\u00e7\u00e3o", "CM-30", "Physical Sciences", "0502 economics and business", "Sustentabilidade", "Pavimenta\u00e7\u00e3o", "Bitumen Modification", "Asphalt Materials and Technology", "Art", "Civil and Structural Engineering", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.60692/xntey-14051"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Transportes", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.60692/xntey-14051", "name": "item", "description": "10.60692/xntey-14051", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.60692/xntey-14051"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-26T00:00:00Z"}}, {"id": "10.60692/00fqh-scr74", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:18Z", "type": "Journal Article", "created": "2022-02-28", "title": "Expansion of olive orchards and their impact on the cultivation and landscape through a case study in the countryside of Cordoba (Spain)", "description": "Open Access\u062a\u0645 \u062a\u0639\u0632\u064a\u0632 \u0627\u0633\u062a\u062f\u0627\u0645\u0629 \u0627\u0644\u0646\u0638\u0645 \u0627\u0644\u0632\u0631\u0627\u0639\u064a\u0629 \u0645\u0646 \u062e\u0644\u0627\u0644 \u0627\u0644\u062a\u0634\u0631\u064a\u0639\u0627\u062a \u0639\u0644\u0649 \u0645\u0633\u062a\u0648\u064a\u0627\u062a \u0645\u062e\u062a\u0644\u0641\u0629\u060c \u0648\u0644\u0643\u0646 \u0641\u064a \u0627\u0644\u0648\u0642\u062a \u0646\u0641\u0633\u0647 \u062a\u0639\u0632\u0632 \u0647\u0630\u0647 \u0627\u0644\u0633\u064a\u0627\u0633\u0627\u062a \u0623\u064a\u0636\u064b\u0627 \u0623\u0646\u0638\u0645\u0629 \u0623\u0643\u062b\u0631 \u0625\u0646\u062a\u0627\u062c\u064a\u0629 \u0645\u0646 \u062e\u0644\u0627\u0644 \u062a\u0643\u062b\u064a\u0641 \u0627\u0644\u0632\u0631\u0627\u0639\u0629 (\u0639\u0644\u0649 \u0633\u0628\u064a\u0644 \u0627\u0644\u0645\u062b\u0627\u0644\u060c \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0631\u064a \u0623\u0648 \u0643\u062b\u0627\u0641\u0627\u062a \u0627\u0644\u0623\u0634\u062c\u0627\u0631 \u0627\u0644\u0639\u0627\u0644\u064a\u0629). \u0647\u0630\u0647 \u0647\u064a \u062d\u0627\u0644\u0629 \u062a\u0648\u0633\u0639 \u0628\u0633\u0627\u062a\u064a\u0646 \u0627\u0644\u0632\u064a\u062a\u0648\u0646 \u0641\u064a \u0623\u0631\u0627\u0636\u064a \u0645\u062d\u0627\u0635\u064a\u0644 \u0627\u0644\u062d\u0628\u0648\u0628 \u0641\u064a \u0627\u0644\u0639\u0642\u0648\u062f \u0627\u0644\u0623\u062e\u064a\u0631\u0629. \u062a\u062d\u0644\u0644 \u0647\u0630\u0647 \u0627\u0644\u062f\u0631\u0627\u0633\u0629 \u062a\u0623\u062b\u064a\u0631 \u0647\u0630\u0627 \u0627\u0644\u062a\u0648\u0633\u0639 \u0639\u0644\u0649 \u062e\u0635\u0627\u0626\u0635 \u0627\u0644\u0628\u0633\u0627\u062a\u064a\u0646 \u0648\u0639\u0646\u0627\u0635\u0631 \u0627\u0644\u0645\u0646\u0627\u0638\u0631 \u0627\u0644\u0637\u0628\u064a\u0639\u064a\u0629 \u0641\u064a \u062f\u0631\u0627\u0633\u0629 \u062d\u0627\u0644\u0629 \u0641\u064a '\u0643\u0627\u0645\u0628\u064a\u0646\u064a\u0627' \u0642\u0631\u0637\u0628\u0629 \u0641\u064a \u062c\u0646\u0648\u0628 \u0625\u0633\u0628\u0627\u0646\u064a\u0627 \u0628\u0646\u0627\u0621\u064b \u0639\u0644\u0649 \u062a\u0637\u0648\u0631 \u0633\u0637\u062d\u0647\u0627 \u0648\u0623\u0646\u0645\u0627\u0637\u0647\u0627 \u062e\u0644\u0627\u0644 \u0627\u0644\u0641\u062a\u0631\u0629 \u0645\u0646 2005 \u0625\u0644\u0649 2018. \u062a\u0638\u0647\u0631 \u0646\u062a\u0627\u0626\u062c\u0646\u0627 \u0623\u0646 \u0628\u0633\u0627\u062a\u064a\u0646 \u0627\u0644\u0632\u064a\u062a\u0648\u0646 \u062a\u0636\u0627\u0639\u0641\u062a \u0645\u0633\u0627\u062d\u062a\u0647\u0627 \u0628\u0639\u062f \u0641\u062a\u0631\u0629 13 \u0639\u0627\u0645\u064b\u0627\u060c \u0645\u0646 7997.8 \u0625\u0644\u0649 16447.6 \u0647\u0643\u062a\u0627\u0631. \u0641\u064a \u0627\u0644\u0645\u062a\u0648\u0633\u0637\u060c \u062a\u0645\u064a\u0644 \u0627\u0644\u0628\u0633\u0627\u062a\u064a\u0646 \u0627\u0644\u062c\u062f\u064a\u062f\u0629 \u0625\u0644\u0649 \u0623\u0646 \u062a\u0643\u0648\u0646 \u0630\u0627\u062a \u0643\u062b\u0627\u0641\u0629 \u0646\u0628\u0627\u062a\u064a\u0629 \u0623\u0639\u0644\u0649 \u0648\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0623\u0643\u062b\u0631 \u062a\u0648\u0627\u062a\u0631\u0627\u064b \u0644\u0644\u0631\u064a \u0641\u064a \u0641\u062a\u0631\u0629 \u0627\u0644\u062f\u0631\u0627\u0633\u0629. \u0639\u0644\u0649 \u0627\u0644\u0631\u063a\u0645 \u0645\u0646 \u0647\u0630\u0627 \u0627\u0644\u0627\u062a\u062c\u0627\u0647 \u0646\u062d\u0648 \u0627\u0644\u062a\u0643\u062b\u064a\u0641\u060c \u064a\u064f\u0638\u0647\u0631 \u0627\u0644\u0648\u0636\u0639 \u0627\u0644\u062d\u0627\u0644\u064a \u063a\u0627\u0644\u0628\u064a\u0629 \u0627\u0644\u0623\u0634\u062c\u0627\u0631 \u0627\u0644\u0628\u0639\u0644\u064a\u0629 (76.4 \u066a) \u0648\u0643\u062b\u0627\u0641\u0629 \u0627\u0644\u0623\u0634\u062c\u0627\u0631 \u0627\u0644\u0645\u062a\u0648\u0633\u0637\u0629\u060c 120\u2013200 \u0634\u062c\u0631\u0629/\u0647\u0643\u062a\u0627\u0631\u060c (42.7 \u066a) \u0645\u0646 \u0627\u0644\u0645\u0633\u0627\u062d\u0629. \u0648\u0645\u0639 \u0630\u0644\u0643\u060c \u062a\u0646\u0634\u0623 \u0627\u0644\u0628\u0633\u0627\u062a\u064a\u0646 \u0627\u0644\u0645\u0643\u062b\u0641\u0629 \u062d\u062f\u064a\u062b\u064b\u0627 \u0641\u064a \u0627\u0644\u0645\u0646\u0637\u0642\u0629\u060c \u0645\u0645\u0627 \u064a\u0624\u062f\u064a \u0625\u0644\u0649 \u0641\u0633\u064a\u0641\u0633\u0627\u0621 \u0645\u0646 \u0627\u0644\u0628\u0633\u0627\u062a\u064a\u0646 \u0630\u0627\u062a \u0627\u0644\u062e\u0635\u0627\u0626\u0635 \u0627\u0644\u0645\u062e\u062a\u0644\u0641\u0629 (\u0627\u0644\u0645\u0646\u062d\u062f\u0631\u060c \u0643\u062b\u0627\u0641\u0629 \u0627\u0644\u0623\u0634\u062c\u0627\u0631\u060c \u0646\u0648\u0639 \u0627\u0644\u062a\u0631\u0628\u0629) \u0648\u0627\u0644\u0625\u062f\u0627\u0631\u0627\u062a \u0627\u0644\u0632\u0631\u0627\u0639\u064a\u0629 (\u0627\u0644\u0631\u064a\u060c \u0627\u0644\u063a\u0637\u0627\u0621 \u0627\u0644\u0646\u0628\u0627\u062a\u064a \u0627\u0644\u0623\u0631\u0636\u064a). \u0628\u0627\u0644\u0625\u0636\u0627\u0641\u0629 \u0625\u0644\u0649 \u0630\u0644\u0643\u060c \u062a\u0645 \u0627\u0633\u062a\u0643\u0645\u0627\u0644 \u0647\u0630\u0627 \u0627\u0644\u062a\u0648\u0635\u064a\u0641 \u0628\u062c\u0631\u062f \u0644\u0644\u0639\u0646\u0627\u0635\u0631 \u0634\u0628\u0647 \u0627\u0644\u0637\u0628\u064a\u0639\u064a\u0629 \u0627\u0644\u062d\u0627\u0644\u064a\u0629 \u0627\u0644\u0645\u0631\u062a\u0628\u0637\u0629 \u0628\u0647\u0630\u0647 \u0627\u0644\u0628\u0633\u0627\u062a\u064a\u0646 \u0644\u062a\u062d\u062f\u064a\u062f \u0627\u0644\u062d\u0627\u0644\u0629 \u0627\u0644\u0631\u0627\u0647\u0646\u0629 \u0644\u0644\u0645\u0634\u0647\u062f \u0627\u0644\u0632\u0631\u0627\u0639\u064a \u0627\u0644\u0625\u0642\u0644\u064a\u0645\u064a. \u062a\u0645 \u062c\u0631\u062f \u0645\u0627 \u0645\u062c\u0645\u0648\u0639\u0647 507 \u0634\u062c\u0631\u0629 \u0645\u0639\u0632\u0648\u0644\u0629 \u0648\u0639\u0646\u0627\u0635\u0631 \u0645\u062e\u062a\u0644\u0641\u0629 \u0645\u0646 \u0627\u0644\u0645\u0646\u0627\u0638\u0631 \u0627\u0644\u0637\u0628\u064a\u0639\u064a\u0629 \u0627\u0644\u062e\u0637\u064a\u0629 \u0648\u0627\u0644\u0645\u0636\u0644\u0639\u0629 (343.9 \u0643\u0645 \u0648 714.0 \u0647\u0643\u062a\u0627\u0631 \u0639\u0644\u0649 \u0627\u0644\u062a\u0648\u0627\u0644\u064a)\u060c \u0645\u062c\u0632\u0623\u0629 \u0628\u0634\u0643\u0644 \u0631\u0626\u064a\u0633\u064a. \u0645\u0646 \u0639\u0646\u0627\u0635\u0631 \u0627\u0644\u0645\u0646\u0627\u0638\u0631 \u0627\u0644\u0637\u0628\u064a\u0639\u064a\u0629 \u0627\u0644\u0645\u0636\u0644\u0639\u0629 \u0647\u0630\u0647\u060c \u0644\u0627 \u064a\u0632\u0627\u0644 \u062c\u0632\u0621 \u0643\u0628\u064a\u0631 (\u0639\u0644\u0649 \u0633\u0628\u064a\u0644 \u0627\u0644\u0645\u062b\u0627\u0644\u060c \u0627\u0644\u0645\u0646\u062d\u062f\u0631\u0627\u062a \u0648\u0627\u0644\u0623\u062e\u0627\u062f\u064a\u062f \u0648\u0628\u0646\u0648\u0643 \u0627\u0644\u0645\u064a\u0627\u0647 \u0648\u0627\u0644\u0634\u0631\u0627\u0626\u0637/\u0627\u0644\u0623\u0648\u062c\u0647 \u063a\u064a\u0631 \u0627\u0644\u0645\u0646\u062a\u062c\u0629) \u063a\u064a\u0631 \u0646\u0628\u0627\u062a\u064a (57 \u066a). \u0644\u0630\u0644\u0643\u060c \u064a\u062c\u0628 \u0627\u0644\u0646\u0638\u0631 \u0641\u064a \u0647\u0630\u0647 \u0627\u0644\u0639\u0646\u0627\u0635\u0631 \u0641\u064a \u0627\u0644\u0633\u064a\u0627\u0633\u0627\u062a \u0627\u0644\u0632\u0631\u0627\u0639\u064a\u0629 \u0645\u062a\u0639\u062f\u062f\u0629 \u0627\u0644\u0645\u0633\u062a\u0648\u064a\u0627\u062a \u0643\u0645\u0646\u0627\u0637\u0642 \u0627\u0633\u062a\u0639\u0627\u062f\u0629 \u0645\u062d\u062a\u0645\u0644\u0629 \u0644\u062a\u0639\u0632\u064a\u0632 \u062a\u0648\u0641\u064a\u0631 \u062e\u062f\u0645\u0627\u062a \u0627\u0644\u0646\u0638\u0627\u0645 \u0627\u0644\u0625\u064a\u0643\u0648\u0644\u0648\u062c\u064a.", "keywords": ["Period (music)", "Soil Degradation", "Vascular Flora of Mediterranean Europe and North Africa", "Soil Science", "Orchard", "Plant Science", "Mediterranean", "Horticulture", "Genetic and Environmental Factors in Grapevine Cultivation", "01 natural sciences", "Environmental science", "Agricultural and Biological Sciences", "Pathology", "Ecosystem services", "Landscape elements", "Agroforestry", "Irrigation", "Biology", "0105 earth and related environmental sciences", "2. Zero hunger", "Geography", "Ecology", "Physics", "Common agricultural policy", "Olive groves", "Life Sciences", "Agriculture", "Forestry", "Acoustics", "04 agricultural and veterinary sciences", "15. Life on land", "Soil Erosion and Agricultural Sustainability", "Olive trees", "Agronomy", "Sustainability", "Archaeology", "FOS: Biological sciences", "Shifting cultivation", "Medicine", "0401 agriculture", " forestry", " and fisheries", "Vegetation (pathology)"]}, "links": [{"href": "https://doi.org/10.60692/00fqh-scr74"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Land%20Use%20Policy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.60692/00fqh-scr74", "name": "item", "description": "10.60692/00fqh-scr74", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.60692/00fqh-scr74"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-01T00:00:00Z"}}, {"id": "10.60692/5feqz-9r143", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:18Z", "type": "Journal Article", "created": "2021-01-26", "title": "How much carbon can be added to soil by sorption?", "description": "Abstract<p>Quantifying the upper limit of stable soil carbon storage is essential for guiding policies to increase soil carbon storage. One pool of carbon considered particularly stable across climate zones and soil types is formed when dissolved organic carbon sorbs to minerals. We quantified, for the first time, the potential of mineral soils to sorb additional dissolved organic carbon (DOC) for six soil orders. We compiled 402 laboratory sorption experiments to estimate the additional DOC sorption potential, that is the potential of excess DOC sorption in addition to the existing background level already sorbed in each soil sample. We estimated this potential using gridded climate and soil geochemical variables within a machine learning model. We find that mid- and low-latitude soils and subsoils have a greater capacity to store DOC by sorption compared to high-latitude soils and topsoils. The global additional DOC sorption potential for six soil orders is estimated to be 107 $$ pm$$                   \uffc2\uffb1                  13 Pg C to 1\uffc2\uffa0m depth. If this potential was realized, it would represent a 7% increase in the existing total carbon stock.</p", "keywords": ["550", "Mineral association", "Organic chemistry", "Carbon Dynamics in Peatland Ecosystems", "Markvetenskap", "01 natural sciences", "7. Clean energy", "Agricultural and Biological Sciences", "Soil water", "11. Sustainability", "Carbon fibers", "Water Science and Technology", "2. Zero hunger", "Latitude", "Ecology", "Total organic carbon", "Life Sciences", "Composite number", "Geology", "04 agricultural and veterinary sciences", "Saturation", "Milj\u00f6vetenskap", "Soil carbon", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "Algorithm", "Chemistry", "Physical Sciences", "Environmental chemistry", "Sorption", "Additional sorption potential", "environment", "Geodesy", "Biogeochemical Cycling of Nutrients in Aquatic Ecosystems", "Soil Science", "Environmental science", "FOS: Mathematics", "Environmental Chemistry", "14. Life underwater", "Soil Carbon Sequestration", "Earth-Surface Processes", "0105 earth and related environmental sciences", "Soil science", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "Atmosphere", "Soil organic carbon", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "FOS: Earth and related environmental sciences", "15. Life on land", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "0401 agriculture", " forestry", " and fisheries", "Adsorption", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems", "Dissolved organic carbon", "Environmental Sciences", "Mathematics"]}, "links": [{"href": "http://link.springer.com/content/pdf/10.1007/s10533-021-00759-x.pdf"}, {"href": "https://doi.org/10.60692/5feqz-9r143"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.60692/5feqz-9r143", "name": "item", "description": "10.60692/5feqz-9r143", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.60692/5feqz-9r143"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-26T00:00:00Z"}}, {"id": "10.60692/g4rcv-eqz54", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:18Z", "type": "Journal Article", "created": "2019-04-23", "title": "An evapotranspiration model self-calibrated from remotely sensed surface soil moisture, land surface temperature and vegetation cover fraction: application to disaggregated SMOS and MODIS data", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Thermal-based two-source energy balance modeling is very useful for estimating the land evapotranspiration (ET) at a wide range of spatial and temporal scales. However, the land surface temperature (LST) is not sufficient for constraining simultaneously both soil and vegetation flux components in such a way that assumptions (on either the soil or the vegetation fluxes) are commonly required. To avoid such assumptions, a new energy balance model (TSEB-SM) was recently developed in Ait Hssaine et al. (2018a) to integrate the microwave-derived near-surface soil moisture (SM), in addition to the thermal-derived LST and vegetation cover fraction (fc). Whereas, TSEB-SM has been recently tested using in-situ measurements, the objective of this paper is to evaluate the performance of TSEB-SM in real-life using 1\u2009km resolution MODIS (Moderate resolution imaging spectroradiometer) LST and fc data and the 1\u2009km resolution SM data disaggregated from SMOS (Soil Moisture and Ocean Salinity) observations by using DisPATCh. The approach is applied during a four-year period (2014\u20132018) over a rainfed wheat field in the Tensift basin, central Morocco, during a four-year period (2014\u20132018). The field was seeded for the 2014\u20132015 (S1), 2016\u20132017 (S2) and 2017\u20132018 (S3) agricultural season, while it was not ploughed (remained as bare soil) during the 2015\u20132016 (B1) agricultural season. The mean retrieved values of (arss, brss) calculated for the entire study period using satellite data are (7.32, 4.58). The daily calibrated \u03b1PT ranges between 0 and 1.38 for both S1 and S2. Its temporal variability is mainly attributed to the rainfall distribution along the agricultural season. For S3, the daily retrieved \u03b1PT remains at a mostly constant value (\u223c\u20090.7) throughout the study period, because of the lack of clear sky disaggregated SM and LST observations during this season. Compared to eddy covariance measurements, TSEB driven only by LST and fc data significantly overestimates latent heat fluxes for the four seasons. The overall mean bias values are 119, 94, 128 and 181\u2009W/m2 for S1, S2, S3 and B1 respectively. In contrast, these errors are much reduced when using TSEB-SM (SM and LST combined data) with the mean bias values estimated as 39, 4, 7 and 62\u2009W/m2 for S1, S2, S3 and B1 respectively.</p></article>", "keywords": ["Technology", "Atmospheric sciences", "550", "Soil Moisture", "0208 environmental biotechnology", "02 engineering and technology", "Environmental technology. Sanitary engineering", "01 natural sciences", "Engineering", "Geography. Anthropology. Recreation", "Pathology", "GE1-350", "TD1-1066", "2. Zero hunger", "Global and Planetary Change", "Water content", "Evapotranspiration", "Geography", "Ecology", "T", "Soil Water Retention", "Moderate-resolution imaging spectroradiometer", "Hydrology (agriculture)", "Geology", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "Aerospace engineering", "Physical Sciences", "Medicine", "environment", "Vegetation (pathology)", "Latent heat", "Mechanics and Transport in Unsaturated Soils", "Land cover", "Environmental Engineering", "0207 environmental engineering", "Energy balance", "Thermal Effects on Soil", "Environmental science", "[SDU] Sciences of the Universe [physics]", "G", "Meteorology", "Civil engineering", "14. Life underwater", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "Biology", "Civil and Structural Engineering", "0105 earth and related environmental sciences", "Global Forest Drought Response and Climate Change", "FOS: Environmental engineering", "FOS: Earth and related environmental sciences", "15. Life on land", "Remote Sensing of Soil Moisture", "Environmental sciences", "Geotechnical engineering", "[SDU]Sciences of the Universe [physics]", "Satellite", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Land use", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "FOS: Civil engineering"]}, "links": [{"href": "https://hess.copernicus.org/articles/24/1781/2020/hess-24-1781-2020.pdf"}, {"href": "https://doi.org/10.60692/g4rcv-eqz54"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.60692/g4rcv-eqz54", "name": "item", "description": "10.60692/g4rcv-eqz54", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.60692/g4rcv-eqz54"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-04-23T00:00:00Z"}}, {"id": "10.6071/M3MX1B", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:19Z", "type": "Dataset", "title": "Data for: Biochar co-compost improves nitrogen retention and reduces carbon emissions in a winter wheat cropping system", "description": "unspecifiedThis data file includes five datasets:   The first dataset describes soil available nitrogen content  (average and 1x standard error, n = 4) across different soil depths in  different treatment plots at the mid- and end-growing seasons.  The second dataset describes the concentration of available  nitrogen and phosphorus (average and 1x standard error, n = 4) in leachate  samples collected monthly at the treatment plots. The  third dataset describes the cumulative soil greenhouse gas emissions  (average, 1x standard error, n = 4, and 95% confidence interval) at  different sampling days throughout the field experiment.  The fourth dataset describes the soil greenhouse gas fluxes and  soil volumetric water content measured at each sampling day in all  treatment plots throughout the field experiment. The  fifth dataset describes the soil greenhouse gas emissions, plant total  biomass, and soil greenhouse gas emissions per unit of plant total biomass  at all field treatment plots at the end of the growing season.", "keywords": ["2. Zero hunger", "dairy manure management", "soil health", "13. Climate action", "11. Sustainability", "Biochar co-compost", "soil greenhouse gas", "FOS: Earth and related environmental sciences", "15. Life on land", "nitrogen leaching", "6. Clean water", "12. Responsible consumption", "climate change mitigation"], "contacts": [{"organization": "Gao, Si, Harrison, Brendan, Thao, Touyee, Gonzales, Melinda, An, Di, Ghezzehei, Teamrat, Diaz, Gerardo, Ryals, Rebecca,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.6071/M3MX1B"}, {"rel": "self", "type": "application/geo+json", "title": "10.6071/M3MX1B", "name": "item", "description": "10.6071/M3MX1B", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.6071/M3MX1B"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-05T00:00:00Z"}}, {"id": "10.6084/m9.figshare.11925045.v1", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-03T16:26:21Z", "type": "Dataset", "created": "2020-03-03", "title": "Additional file 4 of Impact of process temperature and organic loading rate on cellulolytic / hydrolytic biofilm microbiomes during biomethanation of ryegrass silage revealed by genome-centered metagenomics and metatranscriptomics", "description": "Additional file 4. Taxonomic affiliations of metagenome-assembled genomes (MAGs) of this study originating from HR biofilms.", "keywords": ["Ecology", "FOS: Biological sciences", "110309 Infectious Diseases", "Marine Biology", "FOS: Earth and related environmental sciences", "FOS: Health sciences", "Microbiology", "59999 Environmental Sciences not elsewhere classified", "69999 Biological Sciences not elsewhere classified"], "contacts": [{"organization": "Maus, Irena, Klocke, Michael, Derenk\u00f3, Jaqueline, Stolze, Yvonne, Beckstette, Michael, Jost, Carsten, Wibberg, Daniel, Blom, Jochen, Henke, Christian, Willenb\u00fccher, Katharina, Rumming, Madis, Rademacher, Antje, P\u00fchler, Alfred, Sczyrba, Alexander, Schl\u00fcter, Andreas,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.6084/m9.figshare.11925045.v1"}, {"rel": "self", "type": "application/geo+json", "title": "10.6084/m9.figshare.11925045.v1", "name": "item", "description": "10.6084/m9.figshare.11925045.v1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.6084/m9.figshare.11925045.v1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.6084/m9.figshare.14987130", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:22Z", "type": "Software", "created": "2022-04-12", "title": "Ex-Tract tool_1.2.xlsm", "description": "The EX-TRACT Information tool (EX-TRACT) is an Excel spreadsheet, which allows for the estimation of the experimental error associated to statistical analysis results (i.e., standard deviation and standard error of treatments mean) of published articles, in which minimal information is reported. This tool will help researchers estimate experimental error for main effects or interaction, in complete randomization (CRD), in randomized block (CRBD), split-plot (SP), split-split-plot (SSP) and split block (SB) experiments.<br> PLEASE ensure you download the latest version of the tool.<br> LATEST VERSION: EX-TRACT tool_1.2 <br> EX-TRACT tool_1.2 UPDATES: this version solves a problem that occurred on PC with decimal separator set with comma rather than dot. <br> <br> For further support or to report any bug, please write to marco.acutis@unimi.it", "keywords": ["10401 Applied Statistics", "Environmental Science", "Statistics", "FOS: Mathematics", "70105 Agricultural Systems Analysis and Modelling", "FOS: Other agricultural sciences"], "contacts": [{"organization": "Acutis, Marco, Tadiello, Tommaso, Perego, Alessia, Guardo, Andrea Di, Schillaci, Calogero, Valkama, Elena,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.6084/m9.figshare.14987130"}, {"rel": "self", "type": "application/geo+json", "title": "10.6084/m9.figshare.14987130", "name": "item", "description": "10.6084/m9.figshare.14987130", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.6084/m9.figshare.14987130"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.6084/m9.figshare.20477290", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:23Z", "type": "Journal Article", "created": "2022-08-11", "title": "Revealing patterns and connections in the historic landscape of the northern Apennines (Vetto, Italy)", "description": "In the Northern Apennines, significant modifications to the characteristic historical features of landscapes have occurred since the 1950s as agriculture declined in importance and villages were progressively depopulated. Today, European policies are promoting the repopulation of these regions to help preserve the cultural identity of territories and reduce demographic pressure inurban areas. Such initiatives increase the need for cultural and natural landscape management to be better integrated using interdisciplinary approaches. Sustainable landscape management is a dynamic process involving the formulation of strategies to underpin the preservation of landscape heritage and foster local development based on the values and opportunities provided by landscapes themselves. This study uses landscape archaeology and spatial statistics to provide insights into which parts of the historic landscape retain the greatest time-depth and which parts reflect the more recent radical change, enabling an understanding which goes beyond the basic spatial relationships between landscape components.", "keywords": ["local indicators for categorical data", "point pattern analysis", "G3180-9980", "Landscape archaeology", "Maps", "11. Sustainability", "landscape management", "15. Life on land", "01 natural sciences", "historic landscape characterisation", "spatial statistics", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://www.tandfonline.com/doi/pdf/10.1080/17445647.2022.2088305"}, {"href": "https://eprints.ncl.ac.uk/fulltext.aspx?url=284595/39618FDF-222E-4078-8426-E55819A569AD.pdf&pub_id=284595"}, {"href": "https://doi.org/10.6084/m9.figshare.20477290"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Maps", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.6084/m9.figshare.20477290", "name": "item", "description": "10.6084/m9.figshare.20477290", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.6084/m9.figshare.20477290"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "10.7201/earn.2011.02.02", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:32Z", "type": "Journal Article", "created": "2016-06-29", "title": "An\u00e1lisis de alternativas para la eliminaci\u00f3n de la sobreexplotaci\u00f3n de acu\u00edferos en el Valle de Guadalent\u00edn", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>In this paper we analyse the economic impact of alternative water management instruments that allow addressing the problem of non-renewable groundwater pumping in the aquifers of the Guadalent\u00edn Valley (southeast Spain). Their impact is assessed using a partial equilibrium mathematical programming model that maximises the farm net margin resulting from the use of the available water resources for irrigation in the area. Our results show that the buyback of groundwater pumping rights is the option with the greatest public budgetary cost and economic impact. On the contrary, the combination of an environmental tax on groundwater pumping and the substitution of groundwater by subsidised desalinised water allow eliminating aquifer overdraft in the area while minimising the public budgetary cost and the economic impact on the agricultural sector.</p></article>", "keywords": ["2. Zero hunger", "HD101-1395.5", "05 social sciences", "0207 environmental engineering", "Economic growth", " development", " planning", "02 engineering and technology", "econom\u00eda del agua", "6. Clean water", "13. Climate action", "Land use", "0502 economics and business", "8. Economic growth", "HD72-88", "Groundwater", " water economics", " water demand", " mathematical programming", " irrigation", " Agricultural and Food Policy", " Environmental Economics and Policy", " Land Economics/Use", " Resource /Energy Economics and Policy", " Q25", " C61", "", "aguas subterr\u00e1neas", "regad\u00edo", "demanda de agua", "programaci\u00f3n matem\u00e1tica"], "contacts": [{"organization": "Calatrava-Leyva, Javier, Guillem, Amanda, Martinez-Granados, David,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7201/earn.2011.02.02"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Econom%C3%ADa%20Agraria%20y%20Recursos%20Naturales", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.7201/earn.2011.02.02", "name": "item", "description": "10.7201/earn.2011.02.02", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7201/earn.2011.02.02"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-01-31T00:00:00Z"}}, {"id": "10.6084/m9.figshare.21401999", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:23Z", "type": "Journal Article", "created": "2022-10-26", "title": "Exploring structural sediment connectivity via surface runoff in agricultural lands of Finland", "description": "Spatial information on the distribution of erosion areas and sediment transport pathways within agricultural landscapes is limited. Thus, we assess structural sediment connectivity via surface runoff by using a digital elevation model (2 \u00d7 2 m<sup>2</sup>) and RUSLE-based erosion estimates to compute index of connectivity (IC) and sediment delivery estimates. The variables were analyzed within and between two topographically contrasting subcatchments. We found greater spatial variability of IC within a subcatchment than between the subcatchments. The majority of field parcel areas (65%\u201397%) were structurally connected to adjacent open ditches and streams. Areas with high erosion estimates also tended to be structurally well-connected, both at the pixel (Pearson <i>r</i> = 0.58\u20130.63) and parcel scale (<i>r</i> = 0.49\u20130.67). The IC model was not highly sensitive to parameter variations. In contrast, the magnitude of sediment delivery estimates was highly sensitive to parameter variations. However, based on the high rank correlation (Spearman <i>r</i><sub><i>s</i></sub> &gt; 0.95) between computed sediment delivery estimates, the tool provided consistent information on potentially high sediment delivery areas. More empirical data and dynamic model applications could be applied to improve the accuracy of the estimates. The method provides a feasible tool to generate open data on connectivity.", "keywords": ["550", "ta1172", "rusle", "SB1-1110", "Inorganic Chemistry", "Sociology", "FOS: Chemical sciences", "FOS: Mathematics", "RUSLE", "ta218", "Connectivity", "Ecology", "connectivity index", "Plant culture", "lowlands", "FOS: Earth and related environmental sciences", "04 agricultural and veterinary sciences", "ta4111", "15. Life on land", "erosion", "59999 Environmental Sciences not elsewhere classified", "FOS: Sociology", "FOS: Biological sciences", "connectivity", "Medicine", "19999 Mathematical Sciences not elsewhere classified", "0401 agriculture", " forestry", " and fisheries", "69999 Biological Sciences not elsewhere classified", "Biotechnology"]}, "links": [{"href": "https://www.tandfonline.com/doi/pdf/10.1080/09064710.2022.2136583"}, {"href": "https://doi.org/10.6084/m9.figshare.21401999"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Acta%20Agriculturae%20Scandinavica%2C%20Section%20B%20%E2%80%94%20Soil%20%26amp%3B%20Plant%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.6084/m9.figshare.21401999", "name": "item", "description": "10.6084/m9.figshare.21401999", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.6084/m9.figshare.21401999"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-10-26T00:00:00Z"}}, {"id": "10.6084/m9.figshare.6982730.v1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:25Z", "type": "Journal Article", "created": "2018-08-18", "title": "Homogenisation of two fluid flow dependent on exudate concentration. from The effect of root exudates on rhizosphere water dynamics", "description": "The Cahn-Hilliard-Stokes equations are combined with the advection-diffusion equation by concentration dependent variables to model the pore scale movement of water, air and root exudates in soil. The supplementary material presents the application of multiscale homogenisation theory to derive a coupled set of equations to describe the processes on the macroscale, with parameters that are related to the underlying geometry.", "keywords": ["Geophysics", "FOS: Environmental engineering", "FOS: Mathematics", "FOS: Earth and related environmental sciences", "10299 Applied Mathematics not elsewhere classified", "6. Clean water", "90799 Environmental Engineering not elsewhere classified"], "contacts": [{"organization": "L. J. Cooper, K. R. Daly, P. D. Hallett, N. Koebernick, T. S. George, T. Roose,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.6084/m9.figshare.6982730.v1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Proceedings%20of%20the%20Royal%20Society%20A", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.6084/m9.figshare.6982730.v1", "name": "item", "description": "10.6084/m9.figshare.6982730.v1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.6084/m9.figshare.6982730.v1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-01T00:00:00Z"}}, {"id": "11586/416233", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:27:16Z", "type": "Journal Article", "created": "2023-01-02", "title": "Prospective Scenarios for Addressing the Agricultural Plastic Waste Issue: Results of a Territorial Analysis", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Agricultural activities have been positively affected by the use of plastic products, but this has resulted in the production of plastic waste and led to an increase in environmental pollution. To continue benefiting from the use of plastics but addressing at the same time the environmental issue, two strategies seem viable: the development of technologies for extending plastics lifespan and the gradual replacement of traditional non-biodegradable materials by biodegradable ones, at least for some products. This study focuses on a territorial analysis, performed using a Geographic Information System (GIS) in an agricultural area of the Apulia region (southern Italy). Areas of agricultural plastic waste production were identified through land-use maps. The application of plastic waste indices to different crop types and plastic products allowed quantifying and georeferencing actual plastic waste production. From this actual visualization, the other strategies were obtained by properly managing the indices. Two improved scenarios were obtained, the first consisted of extending the lifespan of some plastics, and the second entailed the introduction of some biodegradable alternatives. About 11,103 tons of agricultural plastic waste are yearly produced in the area and 7450 tons come from covering films. Lifespan extension would reduce the annual waste amount by about 25%, while more alternative products are needed to achieve significant results in the second scenario.</p></article>", "keywords": ["Technology", "QH301-705.5", "QC1-999", "plastic detection", "01 natural sciences", "12. Responsible consumption", "11. Sustainability", "Biology (General)", "QD1-999", "0105 earth and related environmental sciences", "2. Zero hunger", "products lifespan", "T", "Physics", "sustainability; GIS; land use; plastic detection; waste management; biodegradable plastic; products lifespan", "land use", "04 agricultural and veterinary sciences", "biodegradable plastic", "15. Life on land", "sustainability", "GIS", "Engineering (General). Civil engineering (General)", "Chemistry", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "waste management", "TA1-2040"]}, "links": [{"href": "http://www.mdpi.com/2076-3417/13/1/612/pdf"}, {"href": "https://www.mdpi.com/2076-3417/13/1/612/pdf"}, {"href": "https://doi.org/11586/416233"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Applied%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11586/416233", "name": "item", "description": "11586/416233", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11586/416233"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-02T00:00:00Z"}}, {"id": "10459.1/60556", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:59Z", "type": "Journal Article", "created": "2017-11-10", "title": "Disaggregation of SMOS Soil Moisture to 100 m Resolution Using MODIS Optical/Thermal and Sentinel-1 Radar Data: Evaluation over a Bare Soil Site in Morocco", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The 40 km resolution SMOS (Soil Moisture and Ocean Salinity) soil moisture, previously disaggregated at a 1 km resolution using the DISPATCH (DISaggregation based on Physical And Theoretical scale CHange) method based on MODIS optical/thermal data, is further disaggregated to 100 m resolution using Sentinel-1 backscattering coefficient (\u03c3\u00b0). For this purpose, three distinct radar-based disaggregation methods are tested by linking the spatio-temporal variability of \u03c3\u00b0 and soil moisture data at the 1 km and 100 m resolution. The three methods are: (1) the weight method, which estimates soil moisture at 100 m resolution at a certain time as a function of \u03c3\u00b0 ratio (100 m to 1 km resolution) and the 1 km DISPATCH products of the same time; (2) the regression method which estimates soil moisture as a function of \u03c3\u00b0 where the regression parameters (e.g., intercept and slope) vary in space and time; and (3) the Cumulative Distribution Function (CDF) method, which estimates 100 m resolution soil moisture from the cumulative probability of 100 m resolution backscatter and the maximum to minimum 1 km resolution (DISPATCH) soil moisture difference. In each case, disaggregation results are evaluated against in situ measurements collected between 1 January 2016 and 11 October 2016 over a bare soil site in central Morocco. The determination coefficient (R2) between 1 km resolution DISPATCH and localized in situ soil moisture is 0.31. The regression and CDF methods have marginal effect on improving the DISPATCH accuracy at the station scale with a R2 between remotely sensed and in situ soil moisture of 0.29 and 0.34, respectively. By contrast, the weight method significantly improves the correlation between remotely sensed and in situ soil moisture with a R2 of 0.52. Likewise, the soil moisture estimates show low root mean square difference with in situ measurements (RMSD= 0.032 m3 m\u22123).</p></article>", "keywords": ["soil moisture and ocean salinity satellite (SMOS)", "Atmospheric Science", "Artificial intelligence", "Environmental Engineering", "550", "Science", "Soil Moisture", "0211 other engineering and technologies", "Aerospace Engineering", "FOS: Mechanical engineering", "02 engineering and technology", "01 natural sciences", "Environmental science", "[SDU] Sciences of the Universe [physics]", "Engineering", "Meteorology", "DISPATCH", "Image resolution", "Arctic Permafrost Dynamics and Climate Change", "14. Life underwater", "Moisture", "0105 earth and related environmental sciences", "Soil science", "Water content", "Radar", "Geography", "soil moisture and ocean salinity satellite (SMOS); DISPATCH; radar; Sentinel-1; disaggregation; soil moisture", "Soilmoisture and ocean salinity satellite (SMOS)", "Synthetic Aperture Radar Interferometry", "Q", "FOS: Environmental engineering", "Geology", "FOS: Earth and related environmental sciences", "Remote sensing", "Remote Sensing of Soil Moisture", "Surface Deformation Monitoring", "Computer science", "Earth and Planetary Sciences", "Groundwater Extraction", "Geotechnical engineering", "[SDU]Sciences of the Universe [physics]", "disaggregation", "Environmental Science", "Physical Sciences", "Sentinel-1", "soil moisture", "radar"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/9/11/1155/pdf"}, {"href": "https://doi.org/10459.1/60556"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10459.1/60556", "name": "item", "description": "10459.1/60556", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10459.1/60556"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-11-10T00:00:00Z"}}, {"id": "10.6084/m9.figshare.6668315", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:25Z", "type": "Journal Article", "created": "2018-06-25", "title": "Supplementary 02 from Determination of macro-scale soil properties from pore scale structures: image-based modelling of poroelastic structures", "description": "Additional plots and data to support the paper", "keywords": ["Geophysics", "FOS: Mathematics", "FOS: Earth and related environmental sciences", "10299 Applied Mathematics not elsewhere classified", "15. Life on land", "90599 Civil Engineering not elsewhere classified", "FOS: Civil engineering"], "contacts": [{"organization": "K. R. Daly, S. D. Keyes, T. Roose,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.6084/m9.figshare.6668315"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Proceedings%20of%20the%20Royal%20Society%20A", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.6084/m9.figshare.6668315", "name": "item", "description": "10.6084/m9.figshare.6668315", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.6084/m9.figshare.6668315"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-01T00:00:00Z"}}, {"id": "10.6084/m9.figshare.6668315.v1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:25Z", "type": "Journal Article", "created": "2018-06-25", "title": "Supplementary 02 from Determination of macro-scale soil properties from pore scale structures: image-based modelling of poroelastic structures", "description": "Additional plots and data to support the paper", "keywords": ["Geophysics", "FOS: Mathematics", "FOS: Earth and related environmental sciences", "10299 Applied Mathematics not elsewhere classified", "15. Life on land", "90599 Civil Engineering not elsewhere classified", "FOS: Civil engineering"], "contacts": [{"organization": "K. R. Daly, S. D. Keyes, T. Roose,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.6084/m9.figshare.6668315.v1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Proceedings%20of%20the%20Royal%20Society%20A", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.6084/m9.figshare.6668315.v1", "name": "item", "description": "10.6084/m9.figshare.6668315.v1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.6084/m9.figshare.6668315.v1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-01T00:00:00Z"}}, {"id": "10.6084/m9.figshare.6668318.v1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:25Z", "type": "Journal Article", "created": "2018-06-25", "title": "Supplementary 01 from Determination of macro-scale soil properties from pore scale structures: image-based modelling of poroelastic structures", "description": "Mathematical details used in the model derivation", "keywords": ["Geophysics", "FOS: Mathematics", "FOS: Earth and related environmental sciences", "10299 Applied Mathematics not elsewhere classified", "90599 Civil Engineering not elsewhere classified", "FOS: Civil engineering"], "contacts": [{"organization": "K. R. Daly, S. D. Keyes, T. Roose,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.6084/m9.figshare.6668318.v1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Proceedings%20of%20the%20Royal%20Society%20A", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.6084/m9.figshare.6668318.v1", "name": "item", "description": "10.6084/m9.figshare.6668318.v1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.6084/m9.figshare.6668318.v1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-01T00:00:00Z"}}, {"id": "10.6084/m9.figshare.6668318", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:25Z", "type": "Journal Article", "created": "2018-06-25", "title": "Supplementary 01 from Determination of macro-scale soil properties from pore scale structures: image-based modelling of poroelastic structures", "description": "Mathematical details used in the model derivation", "keywords": ["Geophysics", "FOS: Mathematics", "FOS: Earth and related environmental sciences", "10299 Applied Mathematics not elsewhere classified", "90599 Civil Engineering not elsewhere classified", "FOS: Civil engineering"], "contacts": [{"organization": "K. R. Daly, S. D. Keyes, T. Roose,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.6084/m9.figshare.6668318"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Proceedings%20of%20the%20Royal%20Society%20A", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.6084/m9.figshare.6668318", "name": "item", "description": "10.6084/m9.figshare.6668318", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.6084/m9.figshare.6668318"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-01T00:00:00Z"}}, {"id": "10.6084/m9.figshare.6982730", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:25Z", "type": "Journal Article", "created": "2018-08-18", "title": "Homogenisation of two fluid flow dependent on exudate concentration. from The effect of root exudates on rhizosphere water dynamics", "description": "The Cahn-Hilliard-Stokes equations are combined with the advection-diffusion equation by concentration dependent variables to model the pore scale movement of water, air and root exudates in soil. The supplementary material presents the application of multiscale homogenisation theory to derive a coupled set of equations to describe the processes on the macroscale, with parameters that are related to the underlying geometry.", "keywords": ["Geophysics", "FOS: Environmental engineering", "FOS: Mathematics", "FOS: Earth and related environmental sciences", "10299 Applied Mathematics not elsewhere classified", "6. Clean water", "90799 Environmental Engineering not elsewhere classified"], "contacts": [{"organization": "L. J. Cooper, K. R. Daly, P. D. Hallett, N. Koebernick, T. S. George, T. Roose,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.6084/m9.figshare.6982730"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Proceedings%20of%20the%20Royal%20Society%20A", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.6084/m9.figshare.6982730", "name": "item", "description": "10.6084/m9.figshare.6982730", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.6084/m9.figshare.6982730"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-01T00:00:00Z"}}, {"id": "10.6084/m9.figshare.7637210.v2", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:26Z", "type": "Dataset", "created": "2019-01-28", "title": "A global, empirical, harmonised dataset of Soil Organic Carbon under Perennial Crops", "description": "This dataset is associated with the manuscript 'Soil organic carbon changes under perennial crops. A global, empirical, harmonised dataset' by:<i> </i>A. Ledo et al.", "keywords": ["2. Zero hunger", "49999 Earth Sciences not elsewhere classified", "FOS: Agriculture", " forestry and fisheries", "50301 Carbon Sequestration Science", "50199 Ecological Applications not elsewhere classified", "FOS: Earth and related environmental sciences", "15. Life on land"]}, "links": [{"href": "https://doi.org/10.6084/m9.figshare.7637210.v2"}, {"rel": "self", "type": "application/geo+json", "title": "10.6084/m9.figshare.7637210.v2", "name": "item", "description": "10.6084/m9.figshare.7637210.v2", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.6084/m9.figshare.7637210.v2"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.6084/m9.figshare.9120041", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:27Z", "type": "Report", "created": "2020-10-13", "title": "Supplementary Tables associated with \"Silicon Isotopes in Arctic and sub-Arctic Glacial Meltwaters: The Role of Subglacial Weathering in the Silicon Cycle\" from Silicon isotopes in Arctic and sub-Arctic glacial meltwaters: the role of subglacial weathering in the silicon cycle.", "description": "Glacial environments play an important role in high-latitude marine nutrient cycling, potentially contributing significant fluxes of silicon (Si) to the polar oceans, either as dissolved silicon (DSi) or as dissolvable amorphous silica (ASi). Silicon is a key nutrient in promoting marine primary productivity, contributing to atmospheric CO<sub>2</sub> removal. We present the current understanding of Si cycling in glacial systems, focusing on the Si isotope (\u03b4<sup>30</sup>Si) composition of glacial meltwaters. We combine existing glacial \u03b4<sup>30</sup>Si data with new measurements from 20 sub-Arctic glaciers, showing that glacial meltwaters consistently export isotopically light DSi compared with non-glacial rivers (+0.16\u2030 versus +1.38\u2030). Glacial \u03b4<sup>30</sup>Si<sub>ASi</sub> composition ranges from \u22120.05\u2030 to \u22120.86\u2030 but exhibits low seasonal variability. Silicon fluxes and \u03b4<sup>30</sup>Si composition from glacial systems are not commonly included in global Si budgets and isotopic mass balance calculations at present. We discuss outstanding questions, including the formation mechanism of ASi and the export of glacial nutrients from fjords. Finally, we provide a contextual framework for the recent advances in our understanding of subglacial Si cycling and highlight critical research avenues for assessing potential future changes in these environments.", "keywords": ["Geochemistry", "13. Climate action", "FOS: Earth and related environmental sciences", "14. Life underwater", "40602 Glaciology"], "contacts": [{"organization": "Hatton, Jade E., Hendry, Katharine R., Hawkings, Jonathan R., Wadham, Jemma L., Opfergelt, Sophie, Kohler, Tyler J., Yde, Jacob C., Stibal, Marek, \u017d\u00e1rsk\u00fd, Jakub D.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.6084/m9.figshare.9120041"}, {"rel": "self", "type": "application/geo+json", "title": "10.6084/m9.figshare.9120041", "name": "item", "description": "10.6084/m9.figshare.9120041", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.6084/m9.figshare.9120041"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.6084/m9.figshare.9120041.v2", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:27Z", "type": "Report", "created": "2020-10-13", "title": "Supplementary Tables associated with \"Silicon Isotopes in Arctic and sub-Arctic Glacial Meltwaters: The Role of Subglacial Weathering in the Silicon Cycle\" from Silicon isotopes in Arctic and sub-Arctic glacial meltwaters: the role of subglacial weathering in the silicon cycle.", "description": "Glacial environments play an important role in high-latitude marine nutrient cycling, potentially contributing significant fluxes of silicon (Si) to the polar oceans, either as dissolved silicon (DSi) or as dissolvable amorphous silica (ASi). Silicon is a key nutrient in promoting marine primary productivity, contributing to atmospheric CO<sub>2</sub> removal. We present the current understanding of Si cycling in glacial systems, focusing on the Si isotope (\u03b4<sup>30</sup>Si) composition of glacial meltwaters. We combine existing glacial \u03b4<sup>30</sup>Si data with new measurements from 20 sub-Arctic glaciers, showing that glacial meltwaters consistently export isotopically light DSi compared with non-glacial rivers (+0.16\u2030 versus +1.38\u2030). Glacial \u03b4<sup>30</sup>Si<sub>ASi</sub> composition ranges from \u22120.05\u2030 to \u22120.86\u2030 but exhibits low seasonal variability. Silicon fluxes and \u03b4<sup>30</sup>Si composition from glacial systems are not commonly included in global Si budgets and isotopic mass balance calculations at present. We discuss outstanding questions, including the formation mechanism of ASi and the export of glacial nutrients from fjords. Finally, we provide a contextual framework for the recent advances in our understanding of subglacial Si cycling and highlight critical research avenues for assessing potential future changes in these environments.", "keywords": ["Geochemistry", "13. Climate action", "FOS: Earth and related environmental sciences", "14. Life underwater", "40602 Glaciology"], "contacts": [{"organization": "Hatton, Jade E., Hendry, Katharine R., Hawkings, Jonathan R., Wadham, Jemma L., Opfergelt, Sophie, Kohler, Tyler J., Yde, Jacob C., Stibal, Marek, \u017d\u00e1rsk\u00fd, Jakub D.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.6084/m9.figshare.9120041.v2"}, {"rel": "self", "type": "application/geo+json", "title": "10.6084/m9.figshare.9120041.v2", "name": "item", "description": "10.6084/m9.figshare.9120041.v2", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.6084/m9.figshare.9120041.v2"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10261/276556", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-03T16:26:48Z", "type": "Journal Article", "created": "2021-12-03", "title": "Assessing spatial soil moisture patterns at a small agricultural catchment", "description": "Open AccessPeer reviewed", "keywords": ["Vegetation mapping", "13. Climate action", "Solid modeling", "0207 environmental engineering", "Three-dimensional displays", "Soil moisture", "Soil properties", "02 engineering and technology", "15. Life on land", "Moisture", "6. Clean water", "Correlation"]}, "links": [{"href": "http://xplorestaging.ieee.org/ielx7/9628139/9628392/09628588.pdf?arnumber=9628588"}, {"href": "https://doi.org/10261/276556"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2021%20IEEE%20International%20Workshop%20on%20Metrology%20for%20Agriculture%20and%20Forestry%20%28MetroAgriFor%29", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/276556", "name": "item", "description": "10261/276556", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/276556"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-03T00:00:00Z"}}, {"id": "10261/277923", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:48Z", "type": "Journal Article", "created": "2022-07-18", "title": "Net irrigation requirement under different climate scenarios using AquaCrop over Europe", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Global soil water availability is challenged by the effects of climate change and a growing population. On average, 70\u2009% of freshwater extraction is attributed to agriculture, and the demand is increasing. In this study, the effects of climate change on the evolution of the irrigation water requirement to sustain current crop productivity are assessed by using the Food and Agriculture Organization (FAO) crop growth model AquaCrop version 6.1. The model is run at 0.5\u2218lat\u00d70.5\u2218long resolution over the European mainland, assuming a general C3-type of crop, and forced by climate input data from the Inter-Sectoral Impact Model Intercomparison Project phase three (ISIMIP3). First, the AquaCrop surface soil moisture (SSM) forced with two types of ISIMIP3 historical meteorological datasets is evaluated with satellite-based SSM estimates in two ways. When driven by ISIMIP3a reanalysis meteorology, daily simulated SSM values have an unbiased root mean square difference of 0.08 and 0.06\u2009m3\u2009m\u22123, with SSM retrievals from the Soil Moisture Ocean Salinity (SMOS) and Soil Moisture Active Passive (SMAP) missions, respectively, for the years 2015\u20132016 (2016 is the end year of the reanalysis data). When forced with ISIMIP3b meteorology from five global climate models (GCMs) for the years 2015\u20132020, the historical simulated SSM climatology closely agrees with the satellite-based SSM climatologies. Second, the evaluated AquaCrop model is run to quantify the future irrigation requirement, for an ensemble of five GCMs and three different emission scenarios. The simulated net irrigation requirement (Inet) of the three summer months for a near and far future climate period (2031\u20132060 and 2071\u20132100) is compared to the baseline period of 1985\u20132014 to assess changes in the mean and interannual variability of the irrigation demand. Averaged over the continent and the model ensemble, the far future Inet is expected to increase by 22\u2009mm per month (+30\u2009%) under a high-emission scenario Shared Socioeconomic Pathway (SSP) 3\u20137.0. Central and southern Europe are the most impacted, with larger Inet increases. The interannual variability in Inet is likely to increase in northern and central Europe, whereas the variability is expected to decrease in southern regions. Under a high mitigation scenario (SSP1\u20132.6), the increase in Inet will stabilize at around 13\u2009mm per month towards the end of the century, and interannual variability will still increase but to a smaller extent. The results emphasize a large uncertainty in the Inet projected by various GCMs.</p></article>", "keywords": ["IMPACTS", "LAND", "Technology", "Environmental Engineering", "AGRICULTURE", "DEFICIT IRRIGATION", "SIMULATE YIELD RESPONSE", "0207 environmental engineering", "UNCERTAINTY", "02 engineering and technology", "CROP WATER PRODUCTIVITY", "Environmental technology. Sanitary engineering", "01 natural sciences", "0905 Civil Engineering", "G", "DATA ASSIMILATION", "Geography. Anthropology. Recreation", "GE1-350", "Geosciences", " Multidisciplinary", "TD1-1066", "0105 earth and related environmental sciences", "2. Zero hunger", "Science & Technology", "3707 Hydrology", "T", "Geology", "15. Life on land", "TRENDS", "6. Clean water", "MODEL", "Environmental sciences", "0907 Environmental Engineering", "13. Climate action", "Physical Sciences", "Water Resources", "4013 Geomatic engineering", "0406 Physical Geography and Environmental Geoscience", "3709 Physical geography and environmental geoscience"]}, "links": [{"href": "https://biblio.vub.ac.be/vubirfiles/86261359/Busschaert_etal_2022_HESS.pdf"}, {"href": "https://hess.copernicus.org/articles/26/3731/2022/hess-26-3731-2022.pdf"}, {"href": "https://doi.org/10261/277923"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/277923", "name": "item", "description": "10261/277923", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/277923"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-12T00:00:00Z"}}, {"id": "10044/1/59029", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:38Z", "type": "Journal Article", "created": "2018-03-31", "title": "Quantifying soil moisture impacts on light use efficiency across biomes", "description": "Summary<p>   <p>Terrestrial primary productivity and carbon cycle impacts of droughts are commonly quantified using vapour pressure deficit (VPD) data and remotely sensed greenness, without accounting for soil moisture. However, soil moisture limitation is known to strongly affect plant physiology.</p>  <p>Here, we investigate light use efficiency, the ratio of gross primary productivity (GPP) to absorbed light. We derive its fractional reduction due to soil moisture (fLUE), separated from VPD and greenness changes, using artificial neural networks trained on eddy covariance data, multiple soil moisture datasets and remotely sensed greenness.</p>  <p>This reveals substantial impacts of soil moisture alone that reduce GPP by up to 40% at sites located in sub\uffe2\uff80\uff90humid, semi\uffe2\uff80\uff90arid or arid regions. For sites in relatively moist climates, we find, paradoxically, a muted fLUE response to drying soil, but reduced fLUE under wet conditions.</p>  <p>fLUE identifies substantial drought impacts that are not captured when relying solely on VPD and greenness changes and, when seasonally recurring, are missed by traditional, anomaly\uffe2\uff80\uff90based drought indices. Counter to common assumptions, fLUE reductions are largest in drought\uffe2\uff80\uff90deciduous vegetation, including grasslands. Our results highlight the necessity to account for soil moisture limitation in terrestrial primary productivity data products, especially for drought\uffe2\uff80\uff90related assessments.</p>  </p", "keywords": ["Time Factors", "550", "vapour pressure deficit", "Light", "Vapor Pressure", "Rain", "Eddy covariance", "02 engineering and technology", "01 natural sciences", "630", "Ecological applications", "Soil", "drought impacts", "Vapour pressure deficit", "Photosynthesis", "drought impacts; eddy covariance; gross primary productivity (GPP); light use efficiency; photosynthesis; soil moisture; standardized precipitation index; vapour pressure deficit (VPD)", "Plant biology", "2. Zero hunger", "Light use efficiency", "Ecology", "gross primary productivity (GPP)", "Biological Sciences", "6. Clean water", "Droughts", "Climate change impacts and adaptation", "gross primary productivity", "Neural Networks", "Plant Biology & Botany", "Drought impacts", "vapour pressure deficit (VPD)", "0207 environmental engineering", "Computer", "eddy covariance", "light use efficiency", "Ecosystem", "0105 earth and related environmental sciences", "photosynthesis", "Agricultural and Veterinary Sciences", "Research", "Gross primary productivity ()", "Water", "Humidity", "Plant Transpiration", "06 Biological Sciences", "15. Life on land", "standardized precipitation index", "13. Climate action", "vapour pressure deficit (VPD", "Standardized precipitation index", "07 Agricultural And Veterinary Sciences", "Soil moisture", "Neural Networks", " Computer", "soil moisture", "Climate Change Impacts and Adaptation", "Environmental Sciences"]}, "links": [{"href": "https://nph.onlinelibrary.wiley.com/doi/pdf/10.1111/nph.15123"}, {"href": "https://escholarship.org/content/qt3sb2745c/qt3sb2745c.pdf"}, {"href": "https://doi.org/10044/1/59029"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/New%20Phytologist", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10044/1/59029", "name": "item", "description": "10044/1/59029", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10044/1/59029"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-03-31T00:00:00Z"}}, {"id": "10.7910/DVN/HA17D3", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-03T16:26:34Z", "type": "Dataset", "title": "Soils Revealed soil carbon futures", "description": "These data are a fully spatial implementation of the IPCC (2019) Tier I bookkeeping approach to soil organic carbon stock change for a series of scenarios. Report describing methodologies (pdf) and summary table of country level soil carbon stock change (excel) are also included. For each of 9 different land use scenarios, maps of the 20 year change in SOC stocks (Mg C ha-1) are supplied. For a restoration to native vegetation scenario, the eventual steady state SOC stocks are also supplied.  Spatial maps of IPCC climate zones, IPCC SOC reference stocks, and land classes are included.   Scenario file are named scenario_xxxx_dSOC_Yzz where: xxxx = scenario name, and zz = years after change in land use or management  All scenario rasters are in units of Mg C / ha to 30 cm depth  Scenarios --  crop_MG: Cropland, improved management only;  crop_MGI: Cropland, improved management and inputs;  crop_I: Cropland, improved inputs only;  grass-part: Grassland, partial restoration;  grass-full: Grassland, full restoration;  rewilding: Restoration to natural vegetation;  degradation-ForestToGrass: Degradation (includes deforestation to degraded grassland condition);  degradation-ForestToCrop: Degradation (includes deforestation to cropland);  degradation-NoDeforestation: Degradation (no deforestation).", "keywords": ["climate mitigation", "Earth and Environmental Sciences", "soil", "agriculture"], "contacts": [{"organization": "Sanderman, Jonathan, Woolf, Dominic, Lehmann, Johannes, Rivard, Charlotte, Poggio, Laura, Heuvelink, Gerard, Bossio, Deborah,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/HA17D3"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/HA17D3", "name": "item", "description": "10.7910/DVN/HA17D3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/HA17D3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/LNPSGP", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-03T16:26:35Z", "type": "Dataset", "title": "Forest greenhouse gas gross emissions", "description": "Displays the gross greenhouse gas emissions from stand-replacing forest disturbance globally from 2001 onwards. Geospatial data are in 10x10 degree geotifs.  <p><p> The northwest corner of each geotif is noted in the file name, e.g., 50N_030E has its northwest corner at (50 deg N, 30 deg E) and has its southeast corner at (40 deg N, 40 deg E). Use the shapefile in GFW_Hansen_tile_footprints.zip to determine which 10x10 degree geotifs cover your area(s) of interest.  <p> <b>Description (adapted from GFW Open Data Portal, <a>https://data.globalforestwatch.org/datasets/gfw::forest-greenhouse-gas-emissions/about</a>):</b> <p> This emissions layer is part of the forest carbon flux model described in\u202fHarris et al. (2021). This paper introduces a geospatial monitoring framework for estimating global forest carbon fluxes which can assist a variety of actors and organizations with tracking greenhouse gas fluxes from forests and in decreasing emissions or increasing removals by forests. Forest carbon emissions represent the greenhouse gas emissions arising from stand-replacing forest disturbances that occurred in each modeled year (megagrams CO2 emissions/ha, between 2001 and 2023). Emissions include all relevant ecosystem carbon pools (aboveground biomass, belowground biomass, dead wood, litter, soil organic carbon) and greenhouse gases (CO2, CH4, N2O). Emissions estimates for each pixel are calculated following IPCC Guidelines for\u202fnational greenhouse gas inventories\u202fwhere stand-replacing disturbance occurred, as mapped in the Global Forest Change annual tree cover loss data of\u202fHansen et al. (2013). The carbon emitted from each pixel is based on carbon densities in 2000, with adjustment for carbon accumulated between 2000 and the year of disturbance.  <p> Emissions reflect a gross estimate, i.e., carbon removals from subsequent regrowth are not included. Instead, gross carbon removals resulting from subsequent regrowth after clearing are accounted for\u202fin the companion forest carbon removals layer. The fraction of carbon emitted from each pixel upon disturbance (emission factor) is affected by several factors, including the direct driver of disturbance, whether fire was observed in the year of or preceding the observed disturbance event,\u202fwhether the disturbance occurred on peat, and more. All emissions are assumed to occur in the year of disturbance. Emissions can be assigned to a specific year using the Hansen tree cover loss data; separate rasters for emissions for each year are not available from GFW. All input layers were resampled to a common resolution of 0.00025 x 0.00025 degrees each to match Hansen et al. (2013). Emissions are available for download in megagrams of CO2e/ha from 2001 onwards. It is appropriate for visualizing (mapping) emissions because it represents the density of emissions per hectare from 2001 onwards. <p> Each year, the tree cover loss, drivers of tree cover loss, and burned area are updated. In 2023 and 2024, a few model input data sets and constants were changed as well, as described below. Please refer to <a>https://www.globalforestwatch.org/blog/data/whats-new-carbon-flux-monitoring/</a> for more information.  <p> 1. The source of the ratio between belowground carbon and aboveground carbon. Previously used one global constant; now uses map from Huang et al. 2021. <p> 2. The years of tree cover gain. Previously used 2000-2012; now uses 2000-2020 from Potapov et al. 2022. <p> 3. The source of fire data. Previously used MODIS burned area; now uses tree cover loss from fires from Tyukavina et al. 2022. <p> 4. The source of peat maps. New tropical data sets have been included and the data set above 40 degrees north has been changed. <p> 5. Global warming potential (GWP) constants for CH4 and N2O. Previously used GWPs from IPCC Fifth Assessment Report; now uses GWPs from IPCC Sixth Assessment Report. <p> 6. Removal factors for older (>20 years) secondary temperate forests and their associated uncertainties. Previously used removal factors published in Table 4.9 of the 2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories; now uses corrected removal factors and uncertainties from the 4th Corrigenda to the 2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories. <p> 7. Planted tree extent and removal factors. Previously used Spatial Database of Planted Trees (SDPT) Version 1.0; now uses SDPT Version 2.0 and associated removal factors. <p>  <b>Cautions:</b><p>  1. Data are the product of modeling and thus have an inherent degree of error and uncertainty. Users are strongly encouraged to read and fully comprehend the metadata and other available documentation prior to data use.\u202f <p> 2. Values are applicable to forest areas only (canopy cover >30 percent and >5 m height or areas with tree cover gain). See\u202fHarris et al. (2021)\u202ffor further information on the forest definition used in the analysis. <p> 3. Although emissions in each pixel are associated with a specific year of disturbance, emissions over an area of interest reflect the total over the model period of 2001-2023. Thus, values must be divided by 23 to calculate average annual removals. <p> 4. Emissions reflect stand-replacing disturbances as observed in Landsat satellite imagery and do not include emissions from unobserved forest degradation. <p> 5. Emissions reflect a gross estimate, i.e., carbon removals from any regrowth that occurs after disturbance are not included. Instead, gross carbon removals are accounted for in the companion forest carbon removals layer. <p> 6. Emissions data contain temporal inconsistencies. Improvements in the detection of tree cover loss due to the incorporation of new satellite data and methodology changes between 2011 and 2015 may result in higher estimates of emissions in recent years compared to earlier years. Refer to https://www.globalforestwatch.org/blog/data-and-research/tree-cover-loss-satellite-data-trend-analysis/ for additional information. <p> 7. Forest carbon emissions do not reflect carbon transfers from ecosystem carbon pools to the harvested wood products (HWP) pool. <p> 8. This dataset has been updated since its original publication. See Overview for more information.", "keywords": ["Greenhouse gases", "Carbon dioxide", "Emissions", "Earth and Environmental Sciences", "Source", "Forests", "Deforestation"], "contacts": [{"organization": "Gibbs, David, Rose, Melissa, Harris, Nancy,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/LNPSGP"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/LNPSGP", "name": "item", "description": "10.7910/DVN/LNPSGP", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/LNPSGP"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/M4ZGXP", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:35Z", "type": "Dataset", "title": "MSZSI: Multi-Scale Zonal Statistics [AgriClimate] Inventory", "description": "&lt;b&gt;MSZSI: Multi-Scale Zonal Statistics [AgriClimate] Inventory&lt;/b&gt; &lt;br&gt;&lt;br&gt; -------------------------------------------------------------------------------------- &lt;br&gt; MSZSI is a data extraction tool for Google Earth Engine that aggregates time-series remote sensing information to multiple administrative levels using the FAO GAUL data layers. The code at the bottom of this page (metadata) can be pasted into the Google Earth Engine JavaScript code editor and ran at https://code.earthengine.google.com/.  &lt;br&gt;&lt;br&gt; &lt;i&gt;Please refer to the associated publication&lt;/i&gt;:  &lt;br&gt; Peter, B.G., Messina, J.P., Breeze, V., Fung, C.Y., Kapoor, A. and Fan, P., 2024. Perspectives on modifiable spatiotemporal unit problems in remote sensing of agriculture: evaluating rice production in Vietnam and tools for analysis. &lt;i&gt;Frontiers in Remote Sensing&lt;/i&gt;, 5, p.1042624. &lt;br&gt; &lt;a href='https://www.frontiersin.org/journals/remote-sensing/articles/10.3389/frsen.2024.1042624'&gt;https://www.frontiersin.org/journals/remote-sensing/articles/10.3389/frsen.2024.1042624&lt;/a&gt; &lt;br&gt;&lt;br&gt; &lt;i&gt;Input options:&lt;/i&gt; &lt;br&gt; [1] Country of interest &lt;br&gt; [2] Start and end year &lt;br&gt; [3] Start and end month &lt;br&gt; [4] Option to mask data to a specific land-use/land-cover type &lt;br&gt; [5] Land-use/land-cover type code from CGLS LULC &lt;br&gt; [6] Image collection for data aggregation &lt;br&gt; [7] Desired band from the image collection &lt;br&gt; [8] Statistics type for the zonal aggregations &lt;br&gt; [9] Statistic to use for annual aggregation &lt;br&gt; [10] Scaling options &lt;br&gt; [11] Export folder and label suffix &lt;br&gt;&lt;br&gt; &lt;i&gt;Output:&lt;/i&gt; Two CSVs containing zonal statistics for each of the FAO GAUL administrative level boundaries &lt;br&gt; &lt;i&gt;Output fields:&lt;/i&gt; system:index, 0-ADM0_CODE, 0-ADM0_NAME, 0-ADM1_CODE, 0-ADM1_NAME, 0-ADMN_CODE, 0-ADMN_NAME, 1-AREA_PERCENT_LULC, 1-AREA_SQM_LULC, 1-AREA_SQM_ZONE, 2-X_2001, 2-X_2002, 2-X_2003, ..., 2-X_2020, .geo &lt;br&gt;&lt;br&gt; &lt;img src ='https://github.com/cartoscience/seagul/blob/main/mszsi/mszsi_input_v5.PNG?raw=true' width='1000' height='auto'&lt;/img&gt; &lt;br&gt;&lt;br&gt; &lt;b&gt;PREPROCESSED DATA DOWNLOAD&lt;/b&gt; &lt;br&gt;&lt;br&gt; The datasets available for download contain zonal statistics at 2 administrative levels (FAO GAUL levels 1 and 2). Select countries from Southeast Asia and Sub-Saharan Africa &lt;b&gt;(Cambodia, Indonesia, Lao PDR, Myanmar, Philippines, Thailand, Vietnam, Burundi, Kenya, Malawi, Mozambique, Rwanda, Tanzania, Uganda, Zambia, Zimbabwe)&lt;/b&gt; are included in the current version, with plans to extend the dataset to contain global metrics. Each zip file is described below and two example NDVI tables are available for preview. &lt;br&gt;&lt;br&gt; &lt;b&gt;Key&lt;/b&gt;: [source, data, units, temporal range, aggregation, masking, zonal statistic, notes]  &lt;br&gt;&lt;br&gt; Currently available: &lt;br&gt;&lt;b&gt;MSZSI-V2_V-NDVI-MEAN.tar&lt;/b&gt;: [NASA-MODIS, NDVI, index, 2001\u20132020, annual mean, agriculture, mean, n/a]  &lt;br&gt;&lt;b&gt;MSZSI-V2_T-LST-DAY-MEAN.tar&lt;/b&gt;: [NASA-MODIS, LST Day, \u00b0C, 2001\u20132020, annual mean, agriculture, mean, n/a]  &lt;br&gt;&lt;b&gt;MSZSI-V2_T-LST-NIGHT-MEAN.tar&lt;/b&gt;: [NASA-MODIS, LST Night, \u00b0C, 2001\u20132020, annual mean, agriculture, mean, n/a]  &lt;br&gt;&lt;b&gt;MSZSI-V2_R-PRECIP-SUM.tar&lt;/b&gt;: [UCSB-CHG-CHIRPS, Precipitation, mm, 2001\u20132020, annual sum, agriculture, mean, n/a]  &lt;br&gt;&lt;b&gt;MSZSI-V2_S-BDENS-MEAN.tar&lt;/b&gt;: [OpenLandMap, Bulk density, g/cm3, static, n/a, agriculture, mean, at depths 0-10-30-60-100-200] &lt;br&gt;&lt;b&gt;MSZSI-V2_S-ORGC-MEAN.tar&lt;/b&gt;: [OpenLandMap, Organic carbon, g/kg, static, n/a, agriculture, mean, at depths 0-10-30-60-100-200] &lt;br&gt;&lt;b&gt;MSZSI-V2_S-PH-MEAN.tar&lt;/b&gt;: [OpenLandMap, pH in H2O, pH, static, n/a, agriculture, mean, at depths 0-10-30-60-100-200] &lt;br&gt;&lt;b&gt;MSZSI-V2_S-WATER-MEAN.tar&lt;/b&gt;: [OpenLandMap, Soil water, % at 33kPa, static, n/a, agriculture, mean, at depths 0-10-30-60-100-200] &lt;br&gt;&lt;b&gt;MSZSI-V2_S-SAND-MEAN.tar&lt;/b&gt;: [OpenLandMap, Sand, %, static, n/a, agriculture, mean, at depths 0-10-30-60-100-200] &lt;br&gt;&lt;b&gt;MSZSI-V2_S-SILT-MEAN.tar&lt;/b&gt;: [OpenLandMap, Silt, %, static, n/a, agriculture, mean, at depths 0-10-30-60-100-200] &lt;br&gt;&lt;b&gt;MSZSI-V2_S-CLAY-MEAN.tar&lt;/b&gt;: [OpenLandMap, Clay, %, static, n/a, agriculture, mean, at depths 0-10-30-60-100-200] &lt;br&gt;&lt;b&gt;MSZSI-V2_E-ELEV-MEAN.tar&lt;/b&gt;: [MERIT, [elevation, slope, flowacc, HAND], [m, degrees, km&lt;sup&gt;2&lt;/sup&gt;, m], static, n/a, agriculture, mean, n/a] &lt;br&gt;&lt;br&gt;&lt;i&gt;Coming soon&lt;/i&gt; &lt;br&gt;&lt;b&gt;MSZSI-V2_C-STAX-MEAN.tar&lt;/b&gt;: [OpenLandMap, Soil taxonomy, category, static, n/a, agriculture, area sum, n/a] &lt;br&gt;&lt;b&gt;MSZSI-V2_C-LULC-MEAN.tar&lt;/b&gt;: [CGLS-LC100-V3, LULC, category, 2015\u20132019, mode, none, area sum, n/a] &lt;br&gt;&lt;br&gt;&lt;br&gt; &lt;img src ='https://github.com/cartoscience/seagul/blob/main/mszsi/mszsi_diagram_v2.png?raw=true' width='1000' height='auto'&lt;/img&gt; &lt;br&gt;&lt;br&gt; &lt;b&gt;Data sources:&lt;/b&gt;  &lt;br&gt;&lt;li&gt;&lt;a href='https://developers.google.com/earth-engine/datasets/catalog/MODIS_006_MOD13Q1'&gt;https://developers.google.com/earth-engine/datasets/catalog/MODIS_006_MOD13Q1&lt;/a&gt; &lt;br&gt;&lt;li&gt;&lt;a href='https://developers.google.com/earth-engine/datasets/catalog/MODIS_006_MOD11A2'&gt;https://developers.google.com/earth-engine/datasets/catalog/MODIS_006_MOD11A2&lt;/a&gt; &lt;br&gt;&lt;li&gt;&lt;a href='https://developers.google.com/earth-engine/datasets/catalog/UCSB-CHG_CHIRPS_PENTAD'&gt;https://developers.google.com/earth-engine/datasets/catalog/UCSB-CHG_CHIRPS_PENTAD&lt;/a&gt; &lt;br&gt;&lt;li&gt;&lt;a href='https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_BULKDENS-FINEEARTH_USDA-4A1H_M_v02'&gt;https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_BULKDENS-FINEEARTH_USDA-4A1H_M_v02&lt;/a&gt; &lt;br&gt;&lt;li&gt;&lt;a href='https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_ORGANIC-CARBON_USDA-6A1C_M_v02'&gt;https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_ORGANIC-CARBON_USDA-6A1C_M_v02&lt;/a&gt; &lt;br&gt;&lt;li&gt;&lt;a href='https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_PH-H2O_USDA-4C1A2A_M_v02'&gt;https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_PH-H2O_USDA-4C1A2A_M_v02&lt;/a&gt; &lt;br&gt;&lt;li&gt;&lt;a href='https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_WATERCONTENT-33KPA_USDA-4B1C_M_v01'&gt;https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_WATERCONTENT-33KPA_USDA-4B1C_M_v01&lt;/a&gt; &lt;br&gt;&lt;li&gt;&lt;a href='https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_CLAY-WFRACTION_USDA-3A1A1A_M_v02'&gt;https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_CLAY-WFRACTION_USDA-3A1A1A_M_v02&lt;/a&gt; &lt;br&gt;&lt;li&gt;&lt;a href='https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_SAND-WFRACTION_USDA-3A1A1A_M_v02'&gt;https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_SAND-WFRACTION_USDA-3A1A1A_M_v02&lt;/a&gt; &lt;br&gt;&lt;li&gt;&lt;a href='https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_GRTGROUP_USDA-SOILTAX_C_v01'&gt;https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_GRTGROUP_USDA-SOILTAX_C_v01&lt;/a&gt; &lt;br&gt;&lt;li&gt;&lt;a href='https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_Landcover_100m_Proba-V-C3_Global'&gt;https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_Landcover_100m_Proba-V-C3_Global&lt;/a&gt; &lt;br&gt;&lt;li&gt;&lt;a href='https://developers.google.com/earth-engine/datasets/catalog/MERIT_Hydro_v1_0_1'&gt;https://developers.google.com/earth-engine/datasets/catalog/MERIT_Hydro_v1_0_1&lt;/a&gt; &lt;br&gt;&lt;li&gt;&lt;a href='https://developers.google.com/earth-engine/datasets/catalog/FAO_GAUL_2015_level0'&gt;https://developers.google.com/earth-engine/datasets/catalog/FAO_GAUL_2015_level0&lt;/a&gt; &lt;br&gt;&lt;li&gt;&lt;a href='https://developers.google.com/earth-engine/datasets/catalog/FAO_GAUL_2015_level1'&gt;https://developers.google.com/earth-engine/datasets/catalog/FAO_GAUL_2015_level1&lt;/a&gt; &lt;br&gt;&lt;li&gt;&lt;a href='https://developers.google.com/earth-engine/datasets/catalog/FAO_GAUL_2015_level2'&gt;https://developers.google.com/earth-engine/datasets/catalog/FAO_GAUL_2015_level2&lt;/a&gt;&lt;/li&gt; &lt;br&gt; &lt;b&gt;Project information:&lt;/b&gt; &lt;br&gt; SEAGUL: Southeast Asia Globalization, Urbanization, Land and Environment Changes &lt;br&gt; &lt;a href='http://seagul.info/'&gt;http://seagul.info/&lt;/a&gt;; &lt;a href='https://lcluc.umd.edu/projects/divergent-local-responses-globalization-urbanization-land-transition-and-environmental'&gt;https://lcluc.umd.edu/projects/divergent-local-responses-globalization-urbanization-land-transition-and-environmental&lt;/a&gt; &lt;br&gt; This project was made possible by the the NASA Land-Cover/Land-Use Change Program (Grant #: 80NSSC20K0740) &lt;br&gt;&lt;br&gt; For an additional interactive visualization, visit: &lt;a href='https://cartoscience.users.earthengine.app/view/maup-mapper-multi-scale-modis-ndvi'&gt;https://cartoscience.users.earthengine.app/view/maup-mapper-multi-scale-modis-ndvi&lt;/a&gt; &lt;br&gt;&lt;br&gt; &lt;img src ='https://github.com/cartoscience/seagul/blob/main/mszsi/mszsi_app.png?raw=true' width='1000' height='auto'&lt;/img&gt; &lt;br&gt;&lt;br&gt;&lt;br&gt; &lt;i&gt; Google Earth Engine code&lt;/i&gt; &lt;pre&gt; /*/////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////// MSZSI: Multi-Scale Zonal Statistics Inventory Authors: Brad G. Peter, Department of Geography, University of Alabama  Joseph Messina, Department of Geography, University of Alabama  Austin Raney, Department of Geography, University of Alabama  Rodrigo E. Principe, AgriCircle AG  Peilei Fan, Department of Geography, Environment, and Spatial Sciences, Michigan State University  Citation: Peter, Brad; Messina, Joseph; Raney, Austin; Principe, Rodrigo; Fan, Peilei, 2021,  'MSZSI: Multi-Scale Zonal Statistics Inventory', https://doi.org/10.7910/DVN/YCUBXS, Harvard Dataverse, V#  SEAGUL: Southeast Asia Globalization, Urbanization, Land and Environment Changes http://seagul.info/ https://lcluc.umd.edu/projects/divergent-local-responses-globalization-urbanization-land-transition-and-environmental This project was made possible by the the NASA Land-Cover/Land-Use Change Program (Grant #: 80NSSC20K0740)   ///////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////*/  /*----------------------------------------------------------------------------------------------------------------------------------- Description: MSZSI is a data extraction tool for aggregating time-series remote sensing information to multiple administrative levels  using the FAO GAUL data layers.  Input parameterization: [1] Enter the country code for the desired country [2] Select a start and end year. Be sure to check for data availability in the collection selected in input 6. [3] Select a start month and end month to specify a temporal range within each year.  [4] Select an image collection for data aggregation. [5] Select the desired band from the image collection. [6] Option to mask data to a specific land-use/land-cover type. Enter 'TRUE' or 'FALSE'. [7] Enter a land-use/land-cover type code from CGLS LULC. Ignore this option if no masking is desired and set input 4 to 'FALSE'. [8] Select a statistics type for the zonal aggregations (defaults to mean) [9] Select a statistic for temporal aggregation (see available options in the parameterization below) [10] Scaling options [11] Export folder output file label suffix  Check tasks tab for CSV exports. Select a point on the map to view timeseries statistics.  Hover over the layers panel to turn layers on/off and set visualization parameters.   For an additional interactive visualization, visit: https://cartoscience.users.earthengine.app/view/maup-mapper-multi-scale-modis-ndvi  Boundary data Layers: https://developers.google.com/earth-engine/datasets/catalog/FAO_GAUL_2015_level0 https://developers.google.com/earth-engine/datasets/catalog/FAO_GAUL_2015_level1 https://developers.google.com/earth-engine/datasets/catalog/FAO_GAUL_2015_level2 -----------------------------------------------------------------------------------------------------------------------------------*/  // \u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022 USER PARAMETERIZATION \u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022  /*[1]*/ var countryCode = 264  // Refer to http://www.fao.org/in-action/countrystat/news-and-events/events/training-material/gaul-codes2014/en/  /*[2]*/ var startYear = 2001 // Check data availability for the collection selected in input 4  var endYear = 2020 /*[3]*/ var startMonth = 1  var endMonth = 12  /*[4]*/ var ic = ee.ImageCollection('MODIS/006/MOD13Q1') /*[5]*/ var band = 'NDVI'  /*[6]*/ var maskToLULC = 'TRUE' // Set to 'TRUE' or 'FALSE'  /*[7]*/ var lcType = 40   // Refer to https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_Landcover_100m_Proba-V-C3_Global  /*[8]*/ var zonalStatType = ee.Reducer.mean() // examples: ee.Reducer.mean(), ee.Reducer.median(), ee.Reducer.stdDev(),   // ee.Reducer.min(), ee.Reducer.max(), ee.Reducer.sum() /*[9]*/ var temporalAggregateType = 'mean' // available options: 'mean', 'median', 'stddev', 'min', 'max', 'sum'  /*[10]*/ var nativeScale = 'TRUE' // Set to 'TRUE' or 'FALSE'  var scale = 1000 // option to increase the scale to avoid memory crashes  /*[11]*/ var exportFolder = 'GEE_Exports'  var labelSuffix = 'NDVI-MEAN_VIETNAM'  // sample export name: MSZSI-V2_2001-2020_1-12_LC40_GAUL-152-L1_NDVI-MEAN_VIETNAM, but can be changed during download prompt  // note that some country names will need to be adjusted in the download prompt if they contain special characters  ///////////////////////////////////////////////////// NO USER INPUT NEEDED BELOW ////////////////////////////////////////////////////  // Administrative zones and preprocessing ------------------------------------------------------------------------------------------- ic = ic.select(band) var years = ee.List.sequence(startYear,endYear)  var fc_L0 = ee.FeatureCollection('FAO/GAUL/2015/level0').filterMetadata('ADM0_CODE','equals',countryCode) var fc_L1 = ee.FeatureCollection('FAO/GAUL/2015/level1').filterMetadata('ADM0_CODE','equals',countryCode)  .select(['ADM0_CODE','ADM0_NAME','ADM1_CODE','ADM1_NAME'],  ['0-ADM0_CODE','0-ADM0_NAME','0-ADM1_CODE','0-ADM1_NAME']) fc_L1 = fc_L1.map(function(f) {  return f.set('0-ADM2_CODE','NULL').set('0-ADM2_NAME','NULL')  })   var fc_L2 = ee.FeatureCollection('FAO/GAUL/2015/level2').filterMetadata('ADM0_CODE','equals',countryCode)  .select(['ADM0_CODE','ADM0_NAME','ADM1_CODE','ADM1_NAME','ADM2_CODE','ADM2_NAME'],  ['0-ADM0_CODE','0-ADM0_NAME','0-ADM1_CODE','0-ADM1_NAME','0-ADM2_CODE','0-ADM2_NAME'])  // LULC preprocessing --------------------------------------------------------------------------------------------------------------- var lulc = ee.ImageCollection('COPERNICUS/Landcover/100m/Proba-V-C3/Global').select('discrete_classification') var lulcMode = lulc.mode().eq(lcType) var lcLabel = '_LC'+lcType var lulcClip = lulcMode.clip(fc_L0) var lulcZone = lulcClip.remap([0,1],[1,1]).rename('zoneArea') var mask = lulcClip.updateMask(lulcClip.eq(1)).rename('mask')  if(maskToLULC == 'FALSE') {  lcLabel = ''  mask = lulcZone }  if(nativeScale == 'TRUE') {  scale = lulc.first().projection().nominalScale() }  // Add area fields ------------------------------------------------------------------------------------------------------------------ var temporal = ee.ImageCollection(years.map(function(y) {  var filterYear = ic.filter(ee.Filter.calendarRange(y,y,'year'))  .filter(ee.Filter.calendarRange(startMonth, endMonth, 'month'))   var aggregate // the temporal aggregation type is set in input 9  if (temporalAggregateType == 'mean') {  aggregate = filterYear.mean()  }  if (temporalAggregateType == 'median') {  aggregate = filterYear.median()  }  if (temporalAggregateType == 'stddev') {  aggregate = filterYear.stdDev()  }  if (temporalAggregateType == 'min') {  aggregate = filterYear.min()  }  if (temporalAggregateType == 'max') {  aggregate = filterYear.max()  }  if (temporalAggregateType == 'sum') {  aggregate = filterYear.sum()  }    return aggregate.where(aggregate.eq(0),1e-10) // True zeroes are currently set to 1e-10 to avoid false no data flags  .updateMask(mask)  .set('extract',ee.String('2-'+labelSuffix+'_').cat(ee.Number(y).toInt()))  .set('year',ee.Number(y).toInt())  .rename('band') }))  // Run functions for each administrative level -------------------------------------------------------------------------------------- var zonal_L1 = zonalStat(fc_L1) var zonal_L2 = zonalStat(fc_L2) var merge = zonal_L1.combine(zonal_L2)  var fcAreas_L1 = getAreas(fc_L1) var fcAreas_L2 = getAreas(fc_L2)  var samples_L1 = createSamples(fc_L1) var samples_L2 = createSamples(fc_L2)  var added_L1 = addFields(samples_L1,fcAreas_L1.select('zoneAreas'),fcAreas_L1.select('lulcAreas')) var added_L2 = addFields(samples_L2,fcAreas_L2.select('zoneAreas'),fcAreas_L2.select('lulcAreas'))  exporter(added_L1,zonal_L1,1) exporter(added_L2,zonal_L2,2)  // Calculate zonal statistics ------------------------------------------------------------------------------------------------------- function zonalStat(fc) {  return temporal.map(function(i) {  var year = i.get('year')  return i.reduceRegions({  collection: fc,  reducer: ee.Reducer.mean().setOutputs(['zStat']),   scale: scale  }).reduceToImage({  properties: ['zStat'],  reducer: ee.Reducer.first()  }).set('extract',i.get('extract')).set('year',year).rename('band')  }) }  // Calculate areas ------------------------------------------------------------------------------------------------------------------ function getAreas(fc) {  var zoneAreas = ee.Image.pixelArea().updateMask(lulcZone).reduceRegions({  collection: fc,  reducer: ee.Reducer.sum(),   scale: scale  }).reduceToImage({  properties: ['sum'],  reducer: ee.Reducer.first()  }).rename('zoneAreas')  var lulcAreas = ee.Image.pixelArea().updateMask(mask).reduceRegions({  collection: fc,  reducer: ee.Reducer.sum(),   scale: scale  }).reduceToImage({  properties: ['sum'],  reducer: ee.Reducer.first()  }).rename('lulcAreas')  return zoneAreas.addBands(lulcAreas) }  // Feature to points ---------------------------------------------------------------------------------------------------------------- function createSamples(fc) {  return fc.map(function(g) {  return ee.Feature(ee.FeatureCollection.randomPoints({  region: g.geometry(),   points: 1,   seed: 0  }).geometry()).copyProperties(g)  })  }  // Add area fields ------------------------------------------------------------------------------------------------------------------ function addFields(samples, areaGridZone, areaGridLULC) {  return samples.map(function(p) {  var point = p.geometry()  var zoneArea = areaGridZone.rename('area').reduceRegion({  reducer: ee.Reducer.first(),   geometry: point,   scale: 1,   maxPixels: 1e13  }).get('area')  var lulcArea = areaGridLULC.rename('area').reduceRegion({  reducer: ee.Reducer.first(),  geometry: point,  scale: 1  }).get('area')  var percLULC = ee.Number(lulcArea).divide(zoneArea).multiply(100)  return ee.Feature(p).set('1-AREA_SQM_LULC',0)  .set('1-AREA_SQM_ZONE',zoneArea).set('1-AREA_SQM_LULC',ee.Algorithms.If(lulcArea,lulcArea,0))  .set('1-AREA_PERCENT_LULC',ee.Algorithms.If(lulcArea,percLULC,0))  }) }  // Export function ------------------------------------------------------------------------------------------------------------------ function exporter(e,zones,n) {  var extracted = e.map(extractToPoints)  function extractToPoints(feature) {  var geom = feature.geometry()  var addField = function(image, f) {  var newFeature = ee.Feature(f)  var getName = image.get('extract')  var setValue = image.reduceRegion({  reducer: ee.Reducer.first(),   geometry: geom,   scale: 1,   maxPixels: 1e13  }).get('band')  return ee.Feature(ee.Algorithms.If(setValue,  newFeature.set(getName, ee.String(setValue)),  newFeature.set(getName, ee.String('No data'))))  }  var newFeature = ee.Feature(zones.iterate(addField, feature))  return newFeature  }    Export.table.toDrive({  collection: extracted,  description: 'MSZSI-V2_'+startYear+'-'+endYear+'_'+startMonth+'-'+endMonth  +lcLabel+'_GAUL-'+countryCode+'-L'+n+'_'+labelSuffix,  folder: exportFolder  }) }  // Map display settings ------------------------------------------------------------------------------------------------------------- var leftMap = ui.Map() var rightMap = ui.Map() ui.Map.Linker([leftMap, rightMap]) ui.root.widgets().reset([leftMap,rightMap]) leftMap.centerObject(fc_L0) leftMap.setOptions('HYBRID').style().set('cursor', 'crosshair') rightMap.setOptions('HYBRID').style().set('cursor', 'crosshair')  // Adds each image to the map displays var len = years.length().getInfo() for (var i = 0; i &lt; len; i++) {  var year = i+startYear  var namer = 'ZSTATS_'+year  var image_L1 = ee.Image(zonal_L1.toList(zonal_L1.size()).get(i)).rename(band)  var image_L2 = ee.Image(zonal_L2.toList(zonal_L2.size()).get(i)).rename(band)  leftMap.addLayer(image_L1,{},namer,false)  rightMap.addLayer(image_L2,{},namer,false) }  var hollow = {color: 'white', width: 0.3, fillColor: '00000000'} leftMap.addLayer(fc_L1.style(hollow),{},'FAO-GAUL-L1') rightMap.addLayer(fc_L2.style(hollow),{},'FAO-GAUL-L2')  // Chart display settings ----------------------------------------------------------------------------------------------------------- var chartOptions = {  fontSize: 11,  width: '100px',  curveType: 'function',  format: 'short',  margin: '0 0 0 0',  hAxis: {format: '0000', textStyle: {fontSize: 10, color: '303030'}, gridlines: {color: 'transparent'}},  vAxis: {textStyle: {fontSize: 10, color: '303030'}, gridlines: {}},  trendlines: {0: {color: '303030', lineWidth: 0.5, visibleInLegend: false}},  series: {0: {color: '303030', lineWidth: 0.8}},  legend: {textStyle: {color: '303030'}}, }  var panelStyle = {  width: '235px',  position: 'bottom-left',  margin: '0 0 0 0',  border: '1px solid #303030' } var leftChart = ui.Panel({  widgets: ui.Label('Select a point to chart regional time-series',{margin: '0 0 0 0', color:'303030'}),  style: panelStyle }) leftMap.add(leftChart)  // onClick function to query time-series --------------------------------------------------------------------------------------------  function pickLocation(location) {  leftChart.widgets().set(0,ui.Label('Time-series',{fontSize: '14px', fontWeight: 'bold', color: '303030', margin: '7px 0 7px 10px'}))  var chartOptions = {  fontSize: 10,  height: '200px',  curveType: 'function',  format: 'short',  margin: '0 0 0 0',  hAxis: {format: '0000', textStyle: {fontSize: 11, color: '303030'}, gridlines: {color: 'transparent'}},  vAxis: {textStyle: {fontSize: 10, color: '303030'}, gridlines: {}},  trendlines: {0: {color: 'blue', lineWidth: 0.5, visibleInLegend: false},  1: {color: 'red', lineWidth: 0.5, visibleInLegend: false}  },  series: {0: {color: 'blue', lineWidth: 0.8},  1: {color: 'red', lineWidth: 0.8}  },  legend: {position:'none'}  }    leftChart.widgets().set(1,ui.Label('Loading...',{fontSize: '13px',color:'9C9C9C', margin: '0 0 7px 10px'}))  leftChart.widgets().set(2,ui.Label('',{fontSize: '13px',color:'9C9C9C', margin: '0 0 7px 10px'}))    var pLat = location.lat  var pLon = location.lon  var point = ee.Geometry.Point([pLon,pLat])  var selection_L1 = fc_L1.filterBounds(point)  var selection_L2 = fc_L2.filterBounds(point)  var zone_L1_name = ee.Feature(selection_L1.first()).get('0-ADM1_NAME')  var zone_L2_name = ee.Feature(selection_L2.first()).get('0-ADM2_NAME')    leftChart.widgets().set(3,ui.Chart.image.series({  imageCollection: merge,  region: point,  scale: scale,  xProperty: 'year'  }).setOptions(chartOptions))    zone_L1_name.evaluate(function(result_L1) {  zone_L2_name.evaluate(function(result_L2) {  leftChart.widgets().set(1,ui.Label(result_L1+' (L1)',{fontSize: '13px', color: 'blue', margin: '0 0 7px 10px'}))  leftChart.widgets().set(2,ui.Label(result_L2+' (L2)',{fontSize: '13px', color: 'red', margin: '0 0 0 10px'}))  })  })    leftMap.layers().set(len+1, ui.Map.Layer(point,{color: 'blue', opacity: 0.6},'Selected point'))  rightMap.layers().set(len+1, ui.Map.Layer(point,{color: 'red', opacity: 0.6},'Selected point')) }  leftMap.onClick(pickLocation) rightMap.onClick(pickLocation) &lt;/pre&gt;", "keywords": ["Computer and Information Science", "Agricultural Sciences", "Earth and Environmental Sciences", "Social Sciences"], "contacts": [{"organization": "Peter, Brad, Messina, Joseph, Raney, Austin, Principe, Rodrigo, Fan, Peilei,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/M4ZGXP"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/M4ZGXP", "name": "item", "description": "10.7910/DVN/M4ZGXP", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/M4ZGXP"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.6084/m9.figshare.9942854", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:29Z", "type": "Journal Article", "created": "2019-10-05", "title": "Supplementary Information from Stabilizing gold nanoparticles for use in X-ray computed tomography imaging of soil systems", "description": "This investigation establishes a system of gold nanoparticles that show good colloidal stability as an X-ray computed tomography (XCT) contrast agent under soil conditions. Gold nanoparticles offer numerous beneficial traits for experiments in biology including: comparatively minimal phytotoxicity, X-ray attenuation of the material and the capacity for functionalization. However, soil salinity, acidity and surface charges can induce aggregation and destabilize gold nanoparticles, hence in biomedical applications polymer coatings are commonly applied to gold nanoparticles to enhance stability in the <i>in vivo</i> environment. Here we first demonstrate non-coated nanoparticles aggregate in soil-water solutions. We then show coating with a polyethylene glycol (PEG) layer prevents this aggregation. To demonstrate this, PEG-coated nanoparticles were drawn through flow columns containing soil and were shown to be stable; this is in contrast with control experiments using silica and alumina-packed columns. We further determined that a suspension of coated gold nanoparticles which fully saturated soil maintained stability over at least 5 days. Finally, we used time resolved XCT imaging and image based models to approximate nanoparticle diffusion as similar to that of other typical plant nutrients diffusing in water. Together, these results establish the PEGylated gold nanoparticles as potential contrast agents for XCT imaging in soil.", "keywords": ["FOS: Computer and information sciences", "Geophysics", "80106 Image Processing", "Biological Engineering", "FOS: Earth and related environmental sciences"], "contacts": [{"organization": "Scotson, Callum P., Munoz-Hernando, Maria, Duncan, Simon J., Siul A. Ruiz, Keyes, Samuel D., Veelen, Arjen Van, Dunlop, Iain E., Roose, Tiina,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.6084/m9.figshare.9942854"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Royal%20Society%20Open%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.6084/m9.figshare.9942854", "name": "item", "description": "10.6084/m9.figshare.9942854", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.6084/m9.figshare.9942854"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10261/278604", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:48Z", "type": "Journal Article", "created": "2022-07-25", "title": "Estimation of evaporation and transpiration rates under varying water availability for improving crop management of soybeans using oxygen isotope ratios of pore water", "description": "Project Co-ordinators: Dr. Jose Alfonso G\u00f3mez Calero (Instituto de Agricultura Sostenible (IAS-CISC), Dr. Weifeng Xu (Fujian Agriculture and Forest University, FAFU). Knowledge of crop water requirements and the effects of management practices on the amounts of water used for crop transpiration and that lost through soil evaporation is essential for efficient agricultural water management. Therefore, this study investigated the temporal evolution of weekly evaporation and transpiration rates under varying soil water conditions in a conventionally managed soybean field by partitioning evapotranspiration based on a water and \u03b418O-stable isotope mass balance. The estimated rates were considered in combination with vertical soil water distribution, atmospheric demand (based on crop evapotranspiration), actual evapotranspiration, and the plant development stage. This allowed for the weekly rates to be compared to the current conditions resulting from dry periods, rain or irrigation events, and the extent of the canopy. The range of weekly transpiration/evapotranspiration, from blossom to maturation, was between 0.60 (\u00b10.11) and 0.82 (\u00b10.10). Within this range, transpiration/evapotranspiration shifted depending on the vertical soil water distribution and meteorological conditions. During dry soil surface periods, evaporation dropped to almost zero, whereas a wet surface layer substantially increased evaporation/evapotranspiration, even under a closed canopy. Under given conditions, the application of a few intense irrigations before the drying of the soil surface is recommended. This work was supported by the European Union\u2019s Horizon 2020 Research and Innovation Programme (Grant number 773903)(2018-2022). Peer reviewed", "keywords": ["2. Zero hunger", "Water scarcity", "Water stable isotopes", "Eddy covariance", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "6. Clean water", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "Irrigation", "Water use", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10261/278604"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Agrophysics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/278604", "name": "item", "description": "10261/278604", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/278604"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-07-20T00:00:00Z"}}, {"id": "10.6084/m9.figshare.9942854.v1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:29Z", "type": "Journal Article", "created": "2019-10-05", "title": "Supplementary Information from Stabilizing gold nanoparticles for use in X-ray computed tomography imaging of soil systems", "description": "This investigation establishes a system of gold nanoparticles that show good colloidal stability as an X-ray computed tomography (XCT) contrast agent under soil conditions. Gold nanoparticles offer numerous beneficial traits for experiments in biology including: comparatively minimal phytotoxicity, X-ray attenuation of the material and the capacity for functionalization. However, soil salinity, acidity and surface charges can induce aggregation and destabilize gold nanoparticles, hence in biomedical applications polymer coatings are commonly applied to gold nanoparticles to enhance stability in the <i>in vivo</i> environment. Here we first demonstrate non-coated nanoparticles aggregate in soil-water solutions. We then show coating with a polyethylene glycol (PEG) layer prevents this aggregation. To demonstrate this, PEG-coated nanoparticles were drawn through flow columns containing soil and were shown to be stable; this is in contrast with control experiments using silica and alumina-packed columns. We further determined that a suspension of coated gold nanoparticles which fully saturated soil maintained stability over at least 5 days. Finally, we used time resolved XCT imaging and image based models to approximate nanoparticle diffusion as similar to that of other typical plant nutrients diffusing in water. Together, these results establish the PEGylated gold nanoparticles as potential contrast agents for XCT imaging in soil.", "keywords": ["FOS: Computer and information sciences", "Geophysics", "80106 Image Processing", "Biological Engineering", "FOS: Earth and related environmental sciences"], "contacts": [{"organization": "Scotson, Callum P., Munoz-Hernando, Maria, Duncan, Simon J., Siul A. Ruiz, Keyes, Samuel D., Veelen, Arjen Van, Dunlop, Iain E., Roose, Tiina,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.6084/m9.figshare.9942854.v1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Royal%20Society%20Open%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.6084/m9.figshare.9942854.v1", "name": "item", "description": "10.6084/m9.figshare.9942854.v1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.6084/m9.figshare.9942854.v1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10261/278607", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:48Z", "type": "Journal Article", "created": "2022-02-02", "title": "Partitioning evapotranspiration using water stable isotopes and information from lysimeter experiments", "description": "Open AccessPeer reviewed", "keywords": ["Evaporation", "0208 environmental biotechnology", "0207 environmental engineering", "02 engineering and technology", "Mass balance", "Isotopic fractionation", "Soybean", "HYDRUS-1D", "6. Clean water", "Transpiration"]}, "links": [{"href": "https://www.tandfonline.com/doi/pdf/10.1080/02626667.2022.2030866"}, {"href": "https://doi.org/10261/278607"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrological%20Sciences%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/278607", "name": "item", "description": "10261/278607", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/278607"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-02-21T00:00:00Z"}}, {"id": "10.6086/D1TX0T", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:31Z", "type": "Dataset", "title": "Mangrove sediment blue carbon estimates", "description": "Carbon accumulation in coastal wetlands is normally assessed by extracting  a sediment core and estimating its carbon content and bulk density.  Because carbon content and bulk density are functionally related, the  latter can be estimated gravimetrically from a section of the core or,  alternatively, from the carbon content in the sample using the Mixing  Model equation from soil science. We analyzed the effect that the choice  of corer and the method used to estimate bulk density could have on the  final estimates of carbon storage in the sediments. The choice of corer  did not have much influence on the final estimates of carbon density; the  main factor in selecting a corer is the operational difficulties that each  corer may have in different types of sediments. Because of the  multiplication of errors in a product of two variables subject to random  sampling error, when using gravimetric estimates of bulk density, the  dispersion of the data points in the estimation of total carbon density  rises rapidly as the amount of carbon in the soil increases. For this  reason, the estimation of carbon densities in peaty soils with this method  can be very imprecise in peaty sediments. In contrast, the estimation of  total carbon density using only the carbon fraction as a predictor is very  precise, especially in sediments rich in organic matter. This method,  however, depends critically on an accurate estimation of the two  parameters of the Mixing Model (the bulk density of pure peat and the bulk  density of pure mineral sediment). If these parameters are not estimated  accurately, the calculation of total carbon density can be biased.", "keywords": ["Sediment Core", "mangrove", "bulk density", "precision and accuracy", "13. Climate action", "blue carbon", "FOS: Earth and related environmental sciences", "15. Life on land"], "contacts": [{"organization": "Ezcurra, Exequiel", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.6086/D1TX0T"}, {"rel": "self", "type": "application/geo+json", "title": "10.6086/D1TX0T", "name": "item", "description": "10.6086/D1TX0T", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.6086/D1TX0T"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-12-13T00:00:00Z"}}, {"id": "10044/1/77407", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:39Z", "type": "Journal Article", "created": "2020-03-26", "title": "P-model v1.0: an optimality-based light use efficiency model for simulating ecosystem gross primary production", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Terrestrial photosynthesis is the basis for vegetation growth and drives the land carbon cycle. Accurately simulating gross primary production (GPP, ecosystem-level apparent photosynthesis) is key for satellite monitoring and Earth system model predictions under climate change. While robust models exist for describing leaf-level photosynthesis, predictions diverge due to uncertain photosynthetic traits and parameters which vary on multiple spatial and temporal scales. Here, we describe and evaluate a GPP (photosynthesis per unit ground area) model, the P-model, that combines the Farquhar\u2013von Caemmerer\u2013Berry model for C3 photosynthesis with an optimality principle for the carbon assimilation\u2013transpiration trade-off, and predicts a multi-day average light use efficiency (LUE) for any climate and C3 vegetation type. The model builds on the theory developed in Prentice et\u00a0al. (2014) and Wang et\u00a0al. (2017a) and is extended to include low temperature effects on the intrinsic quantum yield and an empirical soil moisture stress factor. The model is forced with site-level data of the fraction of absorbed photosynthetically active radiation (fAPAR) and meteorological data and is evaluated against GPP estimates from a globally distributed network of ecosystem flux measurements. Although the P-model requires relatively few inputs, the R2 for predicted versus observed GPP based on the full model setup is 0.75 (8\u2009d mean, 126 sites) \u2013 similar to comparable satellite-data-driven GPP models but without predefined vegetation-type-specific parameters. The R2 is reduced to 0.70 when not accounting for the reduction in quantum yield at low temperatures and effects of low soil moisture on LUE. The R2 for the P-model-predicted LUE is 0.32 (means by site) and 0.48 (means by vegetation type). Applying this model for global-scale simulations yields a total global GPP of 106\u2013122\u2009Pg\u2009C\u2009yr\u22121 (mean of 2001\u20132011), depending on the fAPAR forcing data. The P-model provides a simple but powerful method for predicting \u2013 rather than prescribing \u2013 light use efficiency and simulating terrestrial photosynthesis across a wide range of conditions. The model is available as an R package (rpmodel).</p></article>", "keywords": ["570", "37 Earth sciences (for-2020)", "QE1-996.5", "550", "04 Earth Sciences", "Geology", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "7. Clean energy", "Climate Action", "37 Earth Sciences (for-2020)", "13. Climate action", "8. Economic growth", "11. Sustainability", "Earth Sciences", "0401 agriculture", " forestry", " and fisheries", "13 Climate Action (sdg)", "04 Earth Sciences (for)", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://centaur.reading.ac.uk/85488/9/gmd-13-1545-2020.pdf"}, {"href": "https://gmd.copernicus.org/articles/13/1545/2020/gmd-13-1545-2020.pdf"}, {"href": "https://www.geosci-model-dev-discuss.net/gmd-2019-200/gmd-2019-200.pdf"}, {"href": "https://escholarship.org/content/qt8kq6f96w/qt8kq6f96w.pdf"}, {"href": "https://doi.org/10044/1/77407"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscientific%20Model%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10044/1/77407", "name": "item", "description": "10044/1/77407", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10044/1/77407"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-08-05T00:00:00Z"}}, {"id": "10.7185/geochemlet.1506", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:32Z", "type": "Journal Article", "created": "2015-06-04", "title": "Copper isotope evidence for large-scale sulphide fractionation during Earth\u2019s differentiation", "description": "The differentiation of Earth into a metallic core and silicate mantle left its signature on the chemical and isotopic composition of the bulk silicate Earth (BSE). This is seen in the depletion of siderophile (metal-loving) relative to lithophile (rock-loving) elements in Earth\u2019s mantle as well as the silicon isotope offset between primitive meteorites (i.e. bulk Earth) and BSE, which is generally interpreted as a proof that Si is present in Earth\u2019s core. Another putative light element in Earth\u2019s core is sulphur; however, estimates of core S abundance vary significantly and, due to its volatile nature, no unequivocal S isotopic signature for core fractionation has thus far been detected. Here we present new high precision isotopic data for Cu, a chalcophile (sulphur-loving) element, which shows that Earth\u2019s mantle is isotopically fractionated relative to bulk Earth. Results from high pressure equilibration experiments suggest that the sense of Cu isotopic fractionation between BSE and bulk Earth requires that a sulphide-rich liquid segregated from Earth\u2019s mantle during differentiation, which likely entered the core. Such an early-stage removal of a sulphide-rich phase from the mantle presents a possible solution to the long-standing 1st terrestrial lead paradox.", "keywords": ["S in the core", "Terrestrial Pb paradox", "GB", "550", "NDAS", "[SDU.ASTR.EP] Sciences of the Universe [physics]/Astrophysics [astro-ph]/Earth and Planetary Astrophysics [astro-ph.EP]", "551", "01 natural sciences", "Planetary differentiation", "13. Climate action", "Core formation", "GB Physical geography", "[SDU.STU.GC] Sciences of the Universe [physics]/Earth Sciences/Geochemistry", "Cu isotopes", "BDC", "Terrestrial Pb paradox.", "R2C", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://dro.dur.ac.uk/15741/1/15741.pdf"}, {"href": "https://doi.org/10.7185/geochemlet.1506"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geochemical%20Perspectives%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.7185/geochemlet.1506", "name": "item", "description": "10.7185/geochemlet.1506", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7185/geochemlet.1506"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-01-01T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Environment&offset=4500&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Environment&offset=4500&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "prev", "title": "items (prev)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Environment&offset=4450", "hreflang": "en-US"}, {"rel": "next", "type": "application/geo+json", "title": "items (next)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Environment&offset=4550", "hreflang": "en-US"}], "numberMatched": 6706, "numberReturned": 50, "distributedFeatures": [], "timeStamp": "2026-04-04T10:17:16.075145Z"}