{"type": "FeatureCollection", "features": [{"id": "10.47964/1120.9340.19963", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-04-03T16:23:05Z", "type": "Journal Article", "created": "2020-12-02", "title": "ADVANCED NEGATIVE STIFFNESS VIBRATION ABSORBERS COUPLED WITH SOIL-STRUCTURE INTERACTION FOR SEISMIC PROTECTION OF BUILDINGS", "keywords": ["02 engineering and technology", "0201 civil engineering"], "contacts": [{"organization": "Kapasakalis, Konstantinos, Alvertos, Antonios, Mantakas, Antonios, Antoniadis, Ioannis, Sapountzakis, Evangelos,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.47964/1120.9340.19963"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Proceedings%20of%20the%20XI%20International%20Conference%20on%20Structural%20Dynamics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.47964/1120.9340.19963", "name": "item", "description": "10.47964/1120.9340.19963", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.47964/1120.9340.19963"}, {"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": "10.48550/arxiv.1808.10328", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:05Z", "type": "Journal Article", "created": "2018-09-05", "title": "Asymptotically Optimal Codes Correcting Fixed-Length Duplication Errors in DNA Storage Systems", "description": "Open AccessTo appear in IEEE Communications Letters", "keywords": ["FOS: Computer and information sciences", "Discrete Mathematics (cs.DM)", "bounds on codes", "DNA storage", "Computer Science - Information Theory", "Information Theory (cs.IT)", "synchronization error", "repetition error", "sticky insertion", "0102 computer and information sciences", "02 engineering and technology", "01 natural sciences", "tandem duplication", "0202 electrical engineering", " electronic engineering", " information engineering", "94B20", " 94B25", " 94B50", " 94B65", " 68P20", " 68P30", " 68R05", "Computer Science - Discrete Mathematics"]}, "links": [{"href": "https://doi.org/10.48550/arxiv.1808.10328"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/IEEE%20Communications%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.48550/arxiv.1808.10328", "name": "item", "description": "10.48550/arxiv.1808.10328", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.48550/arxiv.1808.10328"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-11-01T00:00:00Z"}}, {"id": "10.48350/169997", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:05Z", "type": "Journal Article", "created": "2022-05-12", "title": "A New Framework to Assess Sustainability of Soil Improving Cropping Systems in Europe", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Assessing agricultural sustainability is one of the most challenging tasks related to expertise and support methodologies because it entails multidisciplinary aspects and builds on cultural and value-based elements. Thus, agricultural sustainability should be considered a social concept, reliable enough to support decision makers and policy development in a broad context. The aim of this manuscript was to develop a methodology for the assessment of the sustainability of soil improving cropping systems (SICS) in Europe. For this purpose, a decision tree based on weights (%) was chosen because it allows more flexibility. The methodology was tested with data from the SoilCare Horizon 2020 study site in Germany for the assessment of the impact of the integration of cover crops into the crop rotation. The effect on the environmental indicators was slightly positive, but most assessed properties did not change over the short course of the experiment. Farmers reported that the increase in workload was outweighed by a reputation gain for using cover crops. The incorporation of cover crops reduced slightly the profitability, due to the costs for seeds and establishment of cover crops. The proposed assessment methodology provides a comprehensive summary to assess the agricultural sustainability of SICS.</p></article>", "keywords": ["INDICATORS", "IMPACT", "Environmental Studies", "LEVEL", "Environmental Sciences & Ecology", "3301 Architecture", "12. Responsible consumption", "4104 Environmental management", "11. Sustainability", "MANAGEMENT", "Life Science", "costs and benefits", "0502 Environmental Science and Management", "910 Geography & travel", "550 Earth sciences & geology", "overall sustainability", "2. Zero hunger", "Science & Technology", "S", "MICROBIAL BIOMASS", "3304 Urban and regional planning", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "sustainability framework; overall sustainability; costs and benefits; cover crops", "sustainability framework", "0401 agriculture", " forestry", " and fisheries", "cover crops", "Life Sciences & Biomedicine", "FARMERS"]}, "links": [{"href": "http://www.mdpi.com/2073-445X/11/5/729/pdf"}, {"href": "https://boris.unibe.ch/169997/1/land-11-00729.pdf"}, {"href": "https://doi.org/10.48350/169997"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Land", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.48350/169997", "name": "item", "description": "10.48350/169997", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.48350/169997"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-12T00:00:00Z"}}, {"id": "10.48370/ofd/4tcfog", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:05Z", "type": "Dataset", "title": "Apodemus flavicollis - 125548, Zoological collection of the Mammal Research Institute, PAS", "description": "Apodemus flavicollis (Yellow-necked mouse) from Zoological collection of the Mammal Research Institute, PAS. Collected 1977-09-27, in: Bia\u0142owie\u017ca National Park, Poland. Material type:", "keywords": ["small mammal", "Medicine", " Health and Life Sciences", "rodent", "15. Life on land"], "contacts": [{"organization": "Mammal Research Institute, Polish Academy of Sciences", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.48370/ofd/4tcfog"}, {"rel": "self", "type": "application/geo+json", "title": "10.48370/ofd/4tcfog", "name": "item", "description": "10.48370/ofd/4tcfog", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.48370/ofd/4tcfog"}, {"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": "10.48550/arxiv.1902.00230", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:05Z", "type": "Journal Article", "created": "2019-09-26", "title": "Some Enumeration Problems in the Duplication-Loss Model of Genome Rearrangement", "description": "Open AccessTandem-duplication-random-loss (TDRL) is an important genome rearrangement operation studied in evolutionary biology. This paper investigates some of the formal properties of TDRL operations on the symmetric group (the space of permutations over an $ n $-set). In particular, the cardinality of `balls' of radius one in the TDRL metric, as well as the cardinality of the maximum intersection of two such balls, are determined. The corresponding problems for the so-called mirror (or palindromic) TDRL rearrangement operations are also solved. The results represent an initial step in the study of error correction and reconstruction problems in this context and are of potential interest in DNA-based data storage applications.", "keywords": ["genome rearrangement", "sequence reconstruction", "Genomics (q-bio.GN)", "FOS: Computer and information sciences", "Discrete Mathematics (cs.DM)", "DNA storage", "Computer Science - Information Theory", "Information Theory (cs.IT)", "0102 computer and information sciences", "02 engineering and technology", "permutation", "Quantitative Biology - Quantitative Methods", "01 natural sciences", "05A05", " 68R05", " 92B99", " 92D20", " 94B25", "error-correcting code", "FOS: Biological sciences", "0202 electrical engineering", " electronic engineering", " information engineering", "Tandem-duplication-random-loss", "Quantitative Biology - Genomics", "Quantitative Methods (q-bio.QM)", "Computer Science - Discrete Mathematics"], "contacts": [{"organization": "Kova\u010devi\u0107, Mladen, Brdar, Sanja, Crnojevi\u0107, Vladimir,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.48550/arxiv.1902.00230"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2019%20IEEE%20International%20Symposium%20on%20Information%20Theory%20%28ISIT%29", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.48550/arxiv.1902.00230", "name": "item", "description": "10.48550/arxiv.1902.00230", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.48550/arxiv.1902.00230"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-07-01T00:00:00Z"}}, {"id": "10.48550/arxiv.2112.03814", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:05Z", "type": "Report", "created": "2022-05-16", "title": "A Contrastive Distillation Approach for Incremental Semantic Segmentation in Aerial Images", "description": "Open Access12 pages, ICIAP 2021", "keywords": ["FOS: Computer and information sciences", "computer vision", " semantic segmentation", " aerial images", " incremental learning", "Computer Vision and Pattern Recognition (cs.CV)", "Image and Video Processing (eess.IV)", "Computer Science - Computer Vision and Pattern Recognition", "FOS: Electrical engineering", " electronic engineering", " information engineering", "0211 other engineering and technologies", "0202 electrical engineering", " electronic engineering", " information engineering", "02 engineering and technology", "Electrical Engineering and Systems Science - Image and Video Processing"]}, "links": [{"href": "https://iris.polito.it/bitstream/11583/2962571/1/ICIAP_2021_arnaudo_contrastive_distillation_camera_ready.pdf"}, {"href": "https://iris.polito.it/bitstream/11583/2962571/3/978-3-031-06430-2_62.pdf"}, {"href": "https://link.springer.com/content/pdf/10.1007/978-3-031-06430-2"}, {"href": "https://link.springer.com/content/pdf/10.1007/978-3-031-06430-2_62"}, {"href": "https://doi.org/10.48550/arxiv.2112.03814"}, {"rel": "self", "type": "application/geo+json", "title": "10.48550/arxiv.2112.03814", "name": "item", "description": "10.48550/arxiv.2112.03814", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.48550/arxiv.2112.03814"}, {"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": "10.48464/ni-17-16-eng", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:05Z", "type": "Report", "title": "Learning modern foreign languages in the European Union : Initial Teacher Education and mobility in lower secondary education", "description": "The European Council resolution of 14 February 2002, on the promotion of linguistic diversity and language learning, prompts European Union (EU) member states to promote innovative teaching methods through teacher training and to encourage teachers to participate in transnational mobility so as to enhance their knowledge of the language they teach. The fourth edition of the Eurydice Report, Key Data on Teaching Languages at School in Europe (2017) gives a comparative look at the developments in systems and practices for teaching foreign languages in 37 European countries since 2003. Regarding Initial Teacher Education (ITE), a master's degree is required to teach in the majority of cases, and the teachers of modern foreign languages (MFLs) at ISCED level 2 are specialists in their subject matter. In the 2013 TALIS survey, only 27% of all EU teachers at ISCED level 2 declared that they had been abroad for professional reasons, whereas 57% of European MFL teachers had done so. Among the latter, language learning was quoted as the first purpose for their travel (60%). Lastly, although European MFL teachers declared that they travelled abroad more than teachers taken as a whole, they didn't apply more, on average, for support from transnational mobility programmes \u2013 be they European, national or local.", "keywords": ["4. Education", "FOS: Educational sciences", "10. No inequality", "16. Peace & justice"], "contacts": [{"organization": "Fournier, Yann, Gaudry-Lachet, Anne,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.48464/ni-17-16-eng"}, {"rel": "self", "type": "application/geo+json", "title": "10.48464/ni-17-16-eng", "name": "item", "description": "10.48464/ni-17-16-eng", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.48464/ni-17-16-eng"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-01-01T00:00:00Z"}}, {"id": "10.48550/arxiv.1810.00182", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:05Z", "type": "Report", "title": "Collaborative target-tracking control using multiple autonomous fixed-wing UAVs with constant speeds", "description": "Open AccessThis paper considers a collaborative tracking control problem using a group of fixed-wing unmanned aerial vehicles (UAVs) with constant and non-identical speeds. The dynamics of fixed-wing UAVs are modelled by unicycle-type equations with nonholonomic constraints, assuming that UAVs fly at constant altitudes in the nominal operation mode. The controller is designed such that all fixed-wing UAVs as a group can collaboratively track a desired target's position and velocity. We first present conditions on the relative speeds of tracking UAVs and the target to ensure that the tracking objective can be achieved when UAVs are subject to constant speed constraints. We construct a reference velocity that includes both the target's velocity and position as feedback, which is to be tracked by the group centroid. In this way, all vehicles' headings are controlled such that the group centroid follows a reference trajectory that successfully tracks the target's trajectory. A spacing controller is further devised to ensure that all vehicles stay close to the group centroid trajectory. Trade-offs in the controller design and performance limitations of the target tracking control due to the constant-speed constraint are also discussed in detail. Experimental results with three fixed-wing UAVs tracking a target rotorcraft are provided.", "keywords": ["FOS: Computer and information sciences", "Computer Science - Robotics", "0209 industrial biotechnology", "Optimization and Control (math.OC)", "FOS: Electrical engineering", " electronic engineering", " information engineering", "FOS: Mathematics", "Computer Science - Multiagent Systems", "02 engineering and technology", "Systems and Control (eess.SY)", "Electrical Engineering and Systems Science - Systems and Control", "Mathematics - Optimization and Control", "Robotics (cs.RO)", "Multiagent Systems (cs.MA)"]}, "links": [{"href": "https://doi.org/10.48550/arxiv.1810.00182"}, {"rel": "self", "type": "application/geo+json", "title": "10.48550/arxiv.1810.00182", "name": "item", "description": "10.48550/arxiv.1810.00182", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.48550/arxiv.1810.00182"}, {"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": "10.48550/arxiv.2303.15919", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:05Z", "type": "Other", "title": "Fully Hyperbolic Convolutional Neural Networks for Computer Vision", "description": "Real-world visual data exhibit intrinsic hierarchical structures that can be represented effectively in hyperbolic spaces. Hyperbolic neural networks (HNNs) are a promising approach for learning feature representations in such spaces. However, current HNNs in computer vision rely on Euclidean backbones and only project features to the hyperbolic space in the task heads, limiting their ability to fully leverage the benefits of hyperbolic geometry. To address this, we present HCNN, a fully hyperbolic convolutional neural network (CNN) designed for computer vision tasks. Based on the Lorentz model, we generalize fundamental components of CNNs and propose novel formulations of the convolutional layer, batch normalization, and multinomial logistic regression. {Experiments on standard vision tasks demonstrate the promising performance of our HCNN framework in both hybrid and fully hyperbolic settings.} Overall, we believe our contributions provide a foundation for developing more powerful HNNs that can better represent complex structures found in image data. Our code is publicly available at https://github.com/kschwethelm/HyperbolicCV.", "keywords": ["FOS: Computer and information sciences", "Computer Vision and Pattern Recognition (cs.CV)", "Machine Learning (cs.LG)"], "contacts": [{"organization": "Bdeir, Ahmad, Schwethelm, Kristian, Landwehr, Niels,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.48550/arxiv.2303.15919"}, {"rel": "self", "type": "application/geo+json", "title": "10.48550/arxiv.2303.15919", "name": "item", "description": "10.48550/arxiv.2303.15919", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.48550/arxiv.2303.15919"}, {"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": "10.48620/90780", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:05Z", "type": "Journal Article", "created": "2024-10-23", "title": "Warming of Northern Peatlands Increases the Global Temperature Overshoot Challenge", "description": "Meeting the Paris Agreement's temperature goals requires limiting future carbon emissions, yet current policies make temporarily overshooting the 1.5\u00b0C target likely. The potential climate feedback from destabilizing peatlands, storing large amounts of carbon, remains poorly quantified. Using the reduced-complexity Earth System Model OSCAR with an integrated peat carbon module, we found that across various overshoot pathways that temporarily exceed 1.5\u00b0C-2.5\u00b0C, northern peatlands exhibit net positive feedback, amplifying the overshoot challenge. Warming increases peatlands' net carbon uptake, but this is largely offset by higher methane emissions. We estimated that for each 1\u00b0C increase in peak warming, the positive feedback from peatlands decreases the remaining carbon budget by 37 GtCO2 (22-48 GtCO2). If the 1.5\u00b0C temperature target is exceeded, peatlands would increase carbon removal requirement by about 40 GtCO2 (16-60 GtCO2) (8.6%). Our findings highlight the importance of properly accounting for northern peatlands for estimating climate feedbacks, especially under overshoot scenarios.", "keywords": ["[SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/Climatology", "climate change", "northern peatlands", "carbon", "greenhouse gases", "land surface model", "reduced-complexity earth system model", "FairCarboN", "temperature feedback", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "Article", "overshoot"]}, "links": [{"href": "https://oceanrep.geomar.de/id/eprint/62739/1/1-s2.0-S2590332225001794-main.pdf"}, {"href": "https://pure.iiasa.ac.at/id/eprint/20730/1/1-s2.0-S2590332225001794-main.pdf"}, {"href": "https://doi.org/10.48620/90780"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/One%20Earth", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.48620/90780", "name": "item", "description": "10.48620/90780", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.48620/90780"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-23T00:00:00Z"}}, {"id": "10.4995/cigeo2021.2021.12729", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:06Z", "type": "Journal Article", "created": "2021-10-11", "title": "Methodological proposal for the identification of marginal lands with remote sensing-derived products and ancillary data", "description": "<p>The concept of marginal land (ML) is dynamic and depends on various factors related to the environment, climate, scale,culture, and economic sector. The current methods for identifying ML are diverse, they employ multiple parameters andvariables derived from land use and land cover, and mostly reflect specific management purposes. A methodologicalapproach for the identification of marginal lands using remote sensing and ancillary data products and validated on samplesfrom four European countries (i.e., Germany, Spain, Greece, and Poland) is presented in this paper. The methodologyproposed combines land use and land cover data sets as excluding indicators (forest, croplands, protected areas,impervious areas, land-use change, water bodies, and permanent snow areas) and environmental constraints informationas marginality indicators: (i) physical soil properties, in terms of slope gradient, erosion, soil depth, soil texture, percentageof coarse soil texture fragments, etc.; (ii) climatic factors e.g. aridity index; (iii) chemical soil properties, including soil pH,cation exchange capacity, contaminants, and toxicity, among others. This provides a common vision of marginality thatintegrates a multidisciplinary approach. To determine the ML, we first analyzed the excluding indicators used to delimit theareas with defined land use. Then, thresholds were determined for each marginality indicator through which the landproductivity progressively decreases. Finally, the marginality indicator layers were combined in Google Earth Engine. Theresult was categorized into 3 levels of productivity of ML: high productivity, low productivity, and potentially unsuitable land.The results obtained indicate that the percentage of marginal land per country is 11.64% in Germany, 19.96% in Spain,18.76% in Greece, and 7.18% in Poland. The overall accuracies obtained per country were 60.61% for Germany, 88.87%for Spain, 71.52% for Greece, and 90.97% for Poland.</p>", "keywords": ["Cartography", "Land cover", "Cultural Heritage", "Cobertura de suelo", "3D Modelling", "11. Sustainability", "Teledetecci\u00f3n", "Environmental applications", "Uso de suelo", "2. Zero hunger", "Earth observation", "Tierra abandonada", "Remote sensing", "15. Life on land", "GIS", "SIG", "Geophysics", "Idle land", "13. Climate action", "Degradaci\u00f3n del suelo", "Land use", "Land degradation", "land use", " land cover", " idle land", " land degradation", " GIS", " remote sensing", " Google Earth Engine", "Geocomputing", "Google Earth Engine", "Geodesy"]}, "links": [{"href": "https://doi.org/10.4995/cigeo2021.2021.12729"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Proceedings%20-%203rd%20Congress%20in%20Geomatics%20Engineering%20-%20CIGeo", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.4995/cigeo2021.2021.12729", "name": "item", "description": "10.4995/cigeo2021.2021.12729", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.4995/cigeo2021.2021.12729"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-07-07T00:00:00Z"}}, {"id": "10.4995/raet.2015.2310", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:06Z", "type": "Journal Article", "created": "2015-06-26", "title": "Seguimiento de los flujos de calor sensible y calor latente en vid mediante la aplicaci\u00f3n del balance de energ\u00eda METRIC", "description": "<p><p>En este trabajo se presenta el seguimiento de los flujos de energ\uffc3\uffada en un cultivo de vid bajo riego, obtenidos\uffc2\uffa0a partir del modelo de balance de energ\uffc3\uffada METRIC (Allen et al., 2007b). Este modelo resulta operativo al utilizar un\uffc2\uffa0m\uffc3\uffa9todo de calibraci\uffc3\uffb3n interna definido a partir de la selecci\uffc3\uffb3n de p\uffc3\uffadxeles con valores extremos dentro de la escena. De\uffc2\uffa0esta manera se obtuvieron mapas de radiaci\uffc3\uffb3n neta (Rn), flujo de calor en suelo (G), calor sensible (H), calor latente\uffc2\uffa0(LE), evapotranspiraci\uffc3\uffb3n (ET) y coeficiente de cultivo (Kc). Estos valores fueron validados con registros obtenidos en el\uffc2\uffa0sitio, utilizando una torre de flujos turbulentos (covarianza de torbellinos). El RMSE fue 43 W m<sup>-2</sup>,33 W m<sup>-2</sup>, 55 W m<sup>-2</sup>\uffc2\uffa0y\uffc2\uffa040 W m<sup>-2</sup>\uffc2\uffa0en Rn, G, H y LE, los cuales en t\uffc3\uffa9rminos relativos representan un 8%, 29 %, 21% y 20% respectivamente. A\uffc2\uffa0escala diaria el RMSE para la ET fue de 0,58 mm d\uffc3\uffada<sup>-1</sup>, con un valor de Kc m\uffc3\uffa1ximo y estable de 0,42\uffc2\uffb10,08. Estos resultados\uffc2\uffa0permiten considerar que el m\uffc3\uffa9todo es adecuado y operativo para el seguimiento de la evapotranspiraci\uffc3\uffb3n y\uffc2\uffa0c\uffc3\uffa1lculo de las necesidades h\uffc3\uffaddricas del vi\uffc3\uffb1edo evaluado.</p></p>", "keywords": ["Coeficiente de cultivo", "Latent heat", "Geography (General)", "Evapotranspiration", "calor latente", "Calor latente", "0211 other engineering and technologies", "Energy balance", "02 engineering and technology", "15. Life on land", "Vid", "7. Clean energy", "01 natural sciences", "calor sensible", "13. Climate action", "Crop coefficient", "G1-922", "Balance de energ\u00eda", "coeficiente de cultivo", "Evapotranspiraci\u00f3n", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.4995/raet.2015.2310"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Revista%20de%20Teledetecci%C3%B3n", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.4995/raet.2015.2310", "name": "item", "description": "10.4995/raet.2015.2310", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.4995/raet.2015.2310"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-06-26T00:00:00Z"}}, {"id": "10.5061/dryad.32ms0", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:07Z", "type": "Dataset", "title": "Data from: Convergence of soil nitrogen isotopes across global climate gradients", "description": "unspecifiedUnsummarized soil 15N  datasoil 15N data for  individual samples. not summarized. includes excluded data for further  reference.CraineSoil15N.csvData Sourcesdata sources for soil 15N dataReferences.csv15NDataSummarizedMineral soil 15N data summarized to 0.1\u00b0 latitude and longitude", "keywords": ["2. Zero hunger", "nitrogen isotopes", "13. Climate action", "Soil texture", "15N", "soil organic matter", "Anthropocene", "15. Life on land", "6. Clean water"]}, "links": [{"href": "https://doi.org/10.5061/dryad.32ms0"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.32ms0", "name": "item", "description": "10.5061/dryad.32ms0", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.32ms0"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-03-23T00:00:00Z"}}, {"id": "10.5061/dryad.0cfxpnw4m", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:06Z", "type": "Dataset", "title": "Data from: Decipher soil organic carbon dynamics and driving forces across China using machine learning", "description": "unspecifiedPlease see the ReadMe  file.", "keywords": ["2. Zero hunger", "Driving Forces", "13. Climate action", "Machine learning", "cross validation", "FOS: Earth and related environmental sciences", "SOC", "spatiotemporal dynamics", "15. Life on land", "random forest"], "contacts": [{"organization": "Li, Huiwen, Wu, Yiping, Liu, Shuguang, Xiao, Jingfeng, Zhao, Wenzhi, Chen, Ji, Alexandrov, Georgii, Cao, Yue,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.0cfxpnw4m"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.0cfxpnw4m", "name": "item", "description": "10.5061/dryad.0cfxpnw4m", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.0cfxpnw4m"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-23T00:00:00Z"}}, {"id": "10.5061/dryad.0zpc86730", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:06Z", "type": "Dataset", "title": "Data for: Vegetation and soil ecology of threatened Himalayan Trillium habitats in Kashmir, Himalaya", "description": "unspecifiedData was collected by carrying out field surveys across the  different sampling sites. The data was written on already prepared  datasheets and arranged on spreadsheets for further ananlysis using  different softwares.", "keywords": ["threatened species", "FOS: Biological sciences", "Soil Analysis", "Himalaya", "Biodiversity", "Conservation", "15. Life on land", "Phytosociology"], "contacts": [{"organization": "Rashid, Kausar, Rashid, Sufiya, Islam, Tajamul, Ganie, Aijaz, Nawchoo, Irshad, Khuroo, Anzar,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.0zpc86730"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.0zpc86730", "name": "item", "description": "10.5061/dryad.0zpc86730", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.0zpc86730"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-05-17T00:00:00Z"}}, {"id": "10.5061/dryad.11m00", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:06Z", "type": "Dataset", "title": "Data from: Shrub encroachment can reverse desertification in semi-arid Mediterranean grasslands", "description": "unspecifiedEnvironmental and soil  data from encroached/unencroached Stipa tenacissima steppes from  SpainEnvironmental  (coordinates, elevation, slope, aspect, mean annual rainfall and  temperature) and soil (pH, organic carbon, total nitrogen, total  phosphorus, soil respiration, potassium and nitrogen mineralization)  variables at the microsite and site scales for Stipa tenacissima  grasslands with and without sprouting shrubs in a gradient from central to  southern Spain.Ecol_Lett_2009.zip", "keywords": ["2. Zero hunger", "Stipa tenacissima", "Holocene", "13. Climate action", "semi-arid", "15. Life on land", "Plant successional dynamics", "shrub encroachment", "Desertification"], "contacts": [{"organization": "Maestre, Fernando T., Bowker, Matthew A., Puche, Mar\u00eda D., Bel\u00e9n Hinojosa, M., Mart\u00ednez, Isabel, Garc\u00eda-Palacios, Pablo, Castillo, Andrea P., Soliveres, Santiago, Luzuriaga, Ar\u00e1ntzazu L., S\u00e1nchez, Ana M., Carreira, Jos\u00e9 A., Gallardo, Antonio, Escudero, Adri\u00e1n,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.11m00"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.11m00", "name": "item", "description": "10.5061/dryad.11m00", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.11m00"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-08-13T00:00:00Z"}}, {"id": "10.5061/dryad.18931zd1m", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:06Z", "type": "Dataset", "title": "Input data to model multiple effects of large-scale deployment of grass in crop-rotations at European scale", "description": "unspecifiedThis is the input dataset to a Python script  (https://github.com/oskeng/MF-bio-grass) used to model the effects of  widespread deployment of grass in rotations with annual crops to provide  biomass while remediating soil organic carbon (SOC) losses and other  environmental impacts. For more information about the dataset and the  study, see the original article: Englund, O., Mola-Yudego, B., B\u00f6rjesson,  P., Cederberg, C., Dimitriou, I., Scarlat, N., Berndes, G. Large-scale  deployment of grass in crop rotations as a multifunctional climate  mitigation strategy. GCB Bioenergy", "keywords": ["2. Zero hunger", "spatial modelling", "climate mitigation", "grass", "Agriculture", "FOS: Earth and related environmental sciences", "15. Life on land", "Environmental impacts", "Soil carbon", "Europe", "13. Climate action", "environmental benefits", "Land-use", "perennial crops"], "contacts": [{"organization": "Englund, Oskar", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.18931zd1m"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.18931zd1m", "name": "item", "description": "10.5061/dryad.18931zd1m", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.18931zd1m"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-11-17T00:00:00Z"}}, {"id": "10.5061/dryad.1hn2b", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:07Z", "type": "Dataset", "title": "Data from: Contrasting effects of nutrient enrichment on below-ground biomass in coastal wetlands", "description": "unspecifiedCoastal Wetland  Belowground BiomassThese data were  collected in the field in 2008 from a Sagittaria lancifolia L. dominated,  oligohaline marsh located along the west bank of the Tchefuncte River,  approximately 1 km north of Lake Pontchartrain, LA, USA (30\u00b0 23.205\u2019N, 90\u00b0  09.551\u2019 W). Two methods were used to estimate belowground biomass: the  ingrowth method and the standing crop method. Abbreviated headings are as  follows: 'Block' = statistical block; 'N' = nitrogen  enrichment treatment (kg/ha/yr); 'P' = phosphorus enrichment  treatment (kg/ha/yr); 'LRoot IG' = live root biomass in ingrowth  cores (g/m2); 'LRhiz IG' = live rhizome biomass in ingrowth  cores (g/m2); 'Live IG' = live root+rhizome biomass in ingrowth  cores (g/m2); 'Dead IG' = dead root+rhizome biomass in ingrowth  cores (g/m2); 'Total IG' = total live+dead biomass in ingrowth  cores (g/m2); 'LRoot SC' = live root biomass in standing crop  cores (g/m2); 'LRhiz SC' = live rhizome biomass in standing crop  cores (g/m2); 'Live SC' = live root+rhizome biomass in standing  crop cores (g/m2); 'Dead SC' = dead root+rhizome biomass in  standing crop cores (g/m2); 'Total SC' = total live+dead biomass  in standing crop cores (g/m2).Belowground  Biomass.csv", "keywords": ["2. Zero hunger", "nutrient enrichment", "oligohaline marsh", "13. Climate action", "belowground biomass", "ingrowth method", "Phosphorus", "14. Life underwater", "standing crop method", "15. Life on land", "6. Clean water"], "contacts": [{"organization": "Graham, Sean A., Mendelssohn, Irving A.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.1hn2b"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.1hn2b", "name": "item", "description": "10.5061/dryad.1hn2b", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.1hn2b"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-10-14T00:00:00Z"}}, {"id": "10.5061/dryad.19s12tm", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:06Z", "type": "Dataset", "title": "Data from: Two dimensions define the variation of fine root traits across plant communities under the joint influence of ecological succession and annual mowing", "description": "unspecifiedSoil and root trait data  of roaside successional gradient in Montpellier, FranceData were collected in  the field on roadsides near Montpellier, South of France. Abbreviated  headlines are as follows: 'Roadside' = Roadside;  'Plot' = Plant communities on the roadsides;  'GPS_coordinates' = GPS coordinate from the selected roadsides;  'Age' = Age of the roadside in years; 'Mowing' =  Mowing regime (M=Mown, U=Unmown); 'Road_Type' = Type of roadside  (E=Embankment, C=Cutting); 'Clay' = Clay content in soil in %;  'Silt' = Silt content in soil in %; 'Sand' = Sand  content in soil in %; 'SOC' = Soil organic content in g.kg-1;  'SoilN' = Soil total nitrogen content in g.kg-1; 'CEC'  = Cationic exchange capacity in meq.kg-1; 'Soil_pH' = Soil pH in  water; 'SoilP' = Soil available phosphorus in g.kg-1;  'SRL' = Specific root length in m.g-1; 'shannon' =  Shannon index; 'simpson' = Simpson index; 'RNC' = Root  nitrogen content in mg.g-1; 'RCC' = Root carbon content in  mg.g-1; 'RDMC' = Root dry matter content in mg.g-1;  'Dm' = Mean root diameter in mm; 'RMD' = Root mass  density in kg.m-3 of soil; 'graminoid' = ground cover of  graminoid species in %; 'herbaceous' = ground cover of  herbaceous species in %; 'shrub' = ground cover of shrub species  in %; 'tree' = ground cover of tree species in  %Erktan_JECol2018_.xlsx", "keywords": ["2. Zero hunger", "root dry matter content (RDMC)", "fine root traits", "root biomass", "root nitrogen concentration (RNC)", "above-belowground trait covariation", "community-level trait values", "root economic spectrum (RES)", "15. Life on land", "specific root length (SRL)"], "contacts": [{"organization": "Erktan, Amandine, Roumet, Catherine, Bouchet, Diane, Stokes, Alexia, Pailler, Fran\u00e7ois, Munoz, Fran\u00e7ois,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.19s12tm"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.19s12tm", "name": "item", "description": "10.5061/dryad.19s12tm", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.19s12tm"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-02-19T00:00:00Z"}}, {"id": "10.5061/dryad.1n50j", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:07Z", "type": "Dataset", "title": "Data from: Draining the pool? Carbon storage and fluxes in three alpine plant communities", "description": "unspecifiedShrub communities have expanded in arctic and alpine tundra during recent  decades. Changes in shrub abundance may alter ecosystem carbon (C)  sequestration and storage, with potential positive or negative feedback on  global C cycling. To assess potential implications of shrub expansion in  different alpine plant communities, we compared C fluxes and pools in one  Empetrum-dominated heath, one herb- and cryptogam-dominated meadow, and  one Salix-shrub community in Central Norway. Over two growing seasons, we  measured Gross Ecosystem Photosynthesis, Ecosystem Respiration (ER), and C  pools for above-ground vegetation, litter, roots, and soil separated into  organic and mineral horizons. Both the meadow and shrub communities had  higher rates of C fixation and ER, but the total ecosystem C pool in the  meadow was twice that of the shrub community because of more C in the  organic soil horizon. Even though the heath community had the lowest rates  of C fixation, it stored one and a half times more C than the shrub  community. The results indicate that the relatively high above-ground  biomass sequestering C during the growing season is not associated with  high C storage in shrub-dominated communities. Instead, shrub-dominated  areas may be draining the carbon-rich alpine soils because of high rates  of decomposition. These processes were not shown by mid-growing season C  fluxes, but were reflected by the very different distribution of C pools  in the three habitats.", "keywords": ["Empetrum", "13. Climate action", "net ecosystem exchange", "heath", "Ecosystem Respiration", "meadow", "Salix", "CO2", "15. Life on land", "Tundra", "Soil carbon", "Gross Ecosystem Photosynthesis", "Carbon"], "contacts": [{"organization": "S\u00f8rensen, Mia Vedel, Strimbeck, Richard, Nystuen, Kristin Odden, Kapas, Rozalia Erzsebet, Enquist, Brian J., Graae, Bente Jessen,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.1n50j"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.1n50j", "name": "item", "description": "10.5061/dryad.1n50j", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.1n50j"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-04-10T00:00:00Z"}}, {"id": "10.5061/dryad.20qv5", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:07Z", "type": "Dataset", "title": "Data from: Canopy soil greenhouse gas dynamics in response to indirect fertilization across an elevation gradient of tropical montane forests", "description": "unspecifiedCanopy soils can significantly contribute to aboveground labile biomass,  especially in tropical montane forests. Whether they also contribute to  the exchange of greenhouse gases is unknown. To examine the importance of  canopy soils to tropical forest-soil greenhouse gas exchange, we  quantified gas fluxes from canopy soil cores along an elevation gradient  with 4 yr of nutrient addition to the forest floor. Canopy soil  contributed 5\u201312 percent of combined (canopy + forest floor) soil CO2  emissions but CH4 and N2O fluxes were low. At 2000 m, phosphorus decreased  CO2 emissions (&gt;40%) and nitrogen slightly increased CH4 uptake and  N2O emissions. Our results show that canopy soils may contribute  significantly to combined soil greenhouse gas fluxes in montane regions  with high accumulations of canopy soil. We also show that changes in  fluxes could occur with chronic nutrient deposition.", "keywords": ["canopy organic matter", "CH4", "Carbon dioxide", "nitrous oxide", "13. Climate action", "nutrient addition", "N2O", "CO2", "15. Life on land", "Methane", "12. Responsible consumption"], "contacts": [{"organization": "Matson, Amanda L., Corre, Marife D., Veldkamp, Edzo,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.20qv5"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.20qv5", "name": "item", "description": "10.5061/dryad.20qv5", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.20qv5"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-10-10T00:00:00Z"}}, {"id": "10.5061/dryad.2f70818", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:07Z", "type": "Dataset", "title": "Data from: Differences in carbon stocks along an elevational gradient in tropical mountain forests of Colombia", "description": "unspecifiedTropical mountain forests provide an exceptional opportunity to evaluate  the patterns of variation of carbon stocks along elevational gradients  that correspond to well-defined temperature gradients. We predicted that  carbon stored in live aboveground biomass, aboveground necromass, and soil  components of forests on the eastern flank of the Colombian Andes would  change with elevation along this gradient extending from 750 to 2800 m  above sea level. The rationale was that the corresponding change in  temperature (14\u00b0C to 26\u00b0C) would influence tree growth and decomposition  of organic matter. To address this hypothesis, we examined the carbon  stored in these three components using data from 20 0.25-ha plots located  along this elevational gradient. The mean total carbon stock found in the  study region was 241.3\u00b137.5 Mg C/ha. Aboveground carbon stocks decreased  with elevation (p =0.001), as did necromass carbon stocks (p =0.016).  Although soil organic carbon stocks did not differ significantly along the  gradient (p =0.153), they contributed proportionately more at higher than  at lower elevations, counterbalancing the opposite trends in aboveground  carbon and necromass carbon stocks. As such, total carbon stocks did not  vary significantly along the elevational gradient (p =0.576).", "keywords": ["carbon stocks", "soil organic carbon", "live aboveground biomass", "aboveground necromass", "15. Life on land", "Colombian Andes", "uncertainty analysis"], "contacts": [{"organization": "Phillips, Juan, Ramirez, Sebastian, Wayson, Craig, Duque, Alvaro,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.2f70818"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.2f70818", "name": "item", "description": "10.5061/dryad.2f70818", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.2f70818"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-06-19T00:00:00Z"}}, {"id": "10.5061/dryad.2ngf1vhnd", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:07Z", "type": "Dataset", "title": "Tree species richness and soil organic carbon stock", "description": "Recently, the perspectives for the stronger persistence of soil organic  carbon (SOC) caused by the higher molecular diversity of organic compounds  were proposed. Therefore, the effects of tree species richness and  composition on the diversity of molecular components of SOC need to be  explored. In this study, we collected data on tree species diversity and  composition, SOC concentration, chemical composition, litter and fine root  properties, and examined the relationships between the richness,  composition and functional diversity of tree species, and the evenness of  SOC chemical compositions at a molecular level by 13C nuclear magnetic  resonance, across six natural forest types encompassing a diversity  gradient, ranging from cold temperate to tropical forests. Across the  range, tree species richness correlated to the evenness of SOC chemical  components through tree species composition. The negative correlation of  evenness of SOC chemical components with tree species composition and the  positive correlation of evenness of SOC chemical components with tree  functional diversity were found. The positive correlation of the evenness  of SOC chemical components with indicator tree species. These findings  suggest that the indicator tree species conservation might be preferable  to simply increasing tree species richness, for enhancing the potential  resistance of SOC to decomposition.", "keywords": ["leaf litter", "carbon (C)", "FOS: Agriculture", " forestry", " and fisheries", "14. Life underwater", "Fine roots", "15. Life on land"], "contacts": [{"organization": "Wang, Hui", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.2ngf1vhnd"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.2ngf1vhnd", "name": "item", "description": "10.5061/dryad.2ngf1vhnd", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.2ngf1vhnd"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-02-28T00:00:00Z"}}, {"id": "10.5061/dryad.3216c", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:07Z", "type": "Dataset", "title": "Data from: Peatland vascular plant functional types affect methane dynamics by altering microbial community structure", "description": "Open Access1. Peatlands are natural sources of atmospheric methane (CH4), an  important greenhouse gas. It is established that peatland methane dynamics  are controlled by both biotic and abiotic conditions, yet the interactive  effect of these drivers is less studied and consequently poorly  understood. 2. Climate change affects the distribution of vascular plant  functional types (PFTs) in peatlands. By removing specific PFTs, we  assessed their effects on peat organic matter chemistry, microbial  community composition and on potential methane production (PMP) and  oxidation (PMO) in two microhabitats (lawns and hummocks). 3. Whilst PFT  removal only marginally altered the peat organic matter chemistry, we  observed considerable changes in microbial community structure. This  resulted in altered PMP and PMO. PMP was slightly lower when graminoids  were removed, whilst PMO was highest in the absence of both vascular PFTs  (graminoids and ericoids), but only in the hummocks. 4. Path analyses  demonstrate that different plant\u2013soil interactions drive PMP and PMO in  peatlands and that changes in biotic and abiotic factors can have  auto-amplifying effects on current CH4 dynamics. 5. Synthesis. Changing  environmental conditions will, both directly and indirectly, affect  peatland processes, causing unforeseen changes in CH4 dynamics. The  resilience of peatland CH4 dynamics to environmental change therefore  depends on the interaction between plant community composition and  microbial communities.", "keywords": ["methanotrophic communities", "Sphagnum cuspidatum", "Vaccinium oxycoccus", "Andromeda polifolia", "Sphagnum magellanicum", "Eriophorum angustifolium", "Graminoids", "Rhynchospora alba", "Sphagnum spp.", "path analysis", "mid\u2013infrared spectroscopy", "Empetrum nigrum", "Sphagnum rubellum", "CH4", "Holocene", "Ericoids", "Calluna vulgaris", "methanogenesis", "15. Life on land", "Eriophorum vaginatum", "Sphagnum\u2013dominated peatlands", "13. Climate action", "path analysis; Sphagnum magellanicum; Vaccinium oxycoccus; mid\u2013infrared spectroscopy; Graminoids; Plant\u2013soil (below-ground) interactions; Empetrum nigrum; Sphagnum spp.; Eriophorum vaginatum; Calluna vulgaris; methanotrophic communities; methanogenesis; CH4; PLFA; Sphagnum cuspidatum; Sphagnum\u2013dominated peatlands; Rhynchospora alba; Eriophorum angustifolium; Andromeda polifolia; pmoA; Ericoids; Sphagnum rubellum; Erica tetralix; Holocene", "PLFA", "pmoA", "Erica tetralix"], "contacts": [{"organization": "Robroek, Bjorn J. M., Jassey, Vincent E. J., Kox, Martine A. R., Berendsen, Roeland L., Mills, Robert T. E., C\u00e9cillon, Lauric, Puissant, J\u00e9remy, Meima\u2013Franke, Marion, Bakker, Peter A. H. M., Bodelier, Paul L. E., Meima-Franke, Marion,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.3216c"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.3216c", "name": "item", "description": "10.5061/dryad.3216c", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.3216c"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-04-20T00:00:00Z"}}, {"id": "10.5061/dryad.3nf8b", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:08Z", "type": "Dataset", "title": "Data from: Exploiting mycorrhizas in broad daylight: partial mycoheterotrophy is a common nutritional strategy in meadow orchids.", "description": "unspecifiedStable isotope and  nitrogen concentration dataSingle and mean \u03b415N,  \u03b413C, \u03b42H, \u03b418O values, enrichment factors \u03b515N, \u03b513C, \u03b52H, \u03b518O and total  nitrogen concentration data of 17 Orchidaceae species and 34 autotrophic  reference species.JEcol-2017-0083_data.xlsx", "keywords": ["Neottia cordata", "Neotinea ustulata", "plant-soil (below-ground) interactions", "Traunsteinera globosa", "Liparis loeselii", "orchid mycorrhiza", "Herminium monorchis", "Cephalanthera rubra", "Neottia nidus-avis", "15. Life on land", "Dactylorhiza majalis", "Carbon", "Gymnadenia nigra", "Rhizoctonia", "Platanthera bifolia", "Gymnadenia conopsea", "Malaxis monophyllos", "Dactylorhiza viridis", "Spiranthes aestivalis", "Dactylorhiza incarnata", "Pseudorchis albida", "Epipactis helleborine", "Orchidaceae", "Symbiosis", "Hydrogen"], "contacts": [{"organization": "Schiebold, Julienne M.I., Bidartondo, Martin I., Lenhard, Florian, Makiola, Andreas, Gebauer, Gerhard, Schiebold, Julienne M.-I.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.3nf8b"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.3nf8b", "name": "item", "description": "10.5061/dryad.3nf8b", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.3nf8b"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-06-21T00:00:00Z"}}, {"id": "10.5061/dryad.3r2280gp2", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:08Z", "type": "Dataset", "created": "2023-11-21", "title": "Herbivory and allelopathy contribute jointly to the diversity-invasibility relationship", "description": "unspecified<em>Treatments</em>  In the herbivory-reduction  treatment, we sprayed the plots with an insecticide. To avoid that the  insecticide spray would drift into plots of the non-insecticide treatment,  we randomly assigned the four blocks, each with 47 plots, to one of the  four experimental treatments (i.e. herbivory reduction, allelopathy  reduction, herbivory and allelopathy reduction, no herbivory and  allelopathy reduction). Within each block, the monocultures and species  mixtures of the native plants as well as the three monocultures of  <em>S. canadensis</em> were randomly assigned to different  plots. In the blocks with herbivory reduction, we sprayed each plot every  10 days with a 0.5-L solution of Abamectin (1:500, v:v; Hongke Biochemical  Co., Ltd, Shijiazhuang city, Hebei province in China), which is a  broad-spectrum insecticide. The other plots were sprayed with tap water  instead, and the plants in those plots were considered to be fully exposed  to herbivory. In the blocks with allelopathy reduction, we had, prior to  planting, mixed 8 L (~4 kg) of activated carbon (HG/T 3491-1999, Wuxi  Yatai United Chemical Co., Ltd) into the top 20 cm of soil in each plot,  resulting in a concentration of 1: 100 (v:v). Activated carbon can adsorb  chemicals, including allelopathic substances produced by plants, and  thereby supposedly neutralizes or reduces allelopathic interactions  (Inderjit and Callaway, 2003; Prati &amp; Bossdorf, 2004; Ridenour  &amp; Callaway, 2001; Yuan et al., 2022). However, as activated carbon  may have undesired side-effects on plant growth (Lau et al., 2008; Kabouw  et al., 2010; Wei\u00dfhuhn &amp; Prati, 2009; Wurst et al., 2010), we  tested for side effects in the additional S. canadensis monoculture plots.  We found no significant effect of activated carbon on biomass production  of S. canadensis (Appendix S1: Fig. S1), which suggests that side effects  of activated carbon were absent or minimal in our study. Therefore, plots  without activated carbon were considered to have the full strength of  allelopathic interactions among the plants.  <em>Measurements</em>  To quantify the likelihood of  resource competition in each plot, we measured light interception by the  canopy and soil nutrient contents. Light interception in each plot was  measured twice on cloud-free days (September 25\u201328, 2018 and September  21\u201324, 2019). Photosynthetically active radiation (PAR) was measured at  three randomly selected points within the central 1.6 m \u00d7 1.6 m area of  each plot using a PAR ceptometer (GLZ-C, Zhejiang Top Instrument Co., Ltd,  China). This was done at mid-day (between 11:00 and 14:00), when the solar  angle was maximal. Light-interception proportion was calculated as (PAR  above the canopy - PAR at ground level)/PAR above the canopy.  To  determine nutrient contents, we took three soil cores (6.4 cm in diameter  and 20 cm in depth) from the central 1.6 m \u00d7 1.6 m area of each plot, and  thoroughly mixed the three cores to obtain one composite sample per plot.  This was done on the days that we took the light measurments. Samples were  air-dried for two weeks and then sieved through a 2-mm mesh. After that,  20 g of each soil sample was ground into powder and used to measure soil  total nitrogen and total phosphorus contents with an autoanalyzer  (Autoanalyzer 3, BRAN+LUEBBE, Germany). We also determined the total  organic carbon content using the method of Nelson and Sommers  (1982). Before biomass harvest in 2018 and 2019 years,  in each plot of herbivory and allelopathy and that of herbivory and  allelopathy reduction treatment, 30 leaves (10 leaves was randomly  selected in each of upper, middle and lower layers of canopy) of each  species living in each plot were surveyed for damage by herbivores. If the  total number of leaves of a species was less than 30, and the leaves were  all surveyed. We counted the number of leaves with herbivore damage (e.g.  holes). We then quantified the herbivory ratio as the number of leaves  with herbivory damage divided by 30. In addition, we calculated for the  damaged leaves on each plant species a herbivory intensity (an  herbivory-severity index) as the average proportion of leaf area lost due  to herbivory. To measure foliar flavonoid content of native speies and  <em>S. canadensis</em>, five plots that having the species (if  the species have died and another plot was reselected) were randomly  selected in each of four treatments. Leaf samples (5-10 number) of the  species were randomly gathered in each of five plots. The method of Shen  et al. (2005) was used to measure the foliar flavonoid  content. To determine the biomass production of plants,  and whether this changed over time, we did two harvests. The first one was  done in October 2018, one year after the invaders had been planted, and  the second one was done in October 2019. At the first harvest, we  collected aboveground biomass of all living plants in one half (1 m \u00d7 2 m)  of each plot, and at the second harvest, we did this for the remaining  halves. At both harvests, the plants were sorted to species, dried at 80\u00b0C  for 48 h and weighed.", "keywords": ["FOS: Biological sciences", "Solidago canadensis L", "allelopathy", "Biomass", "nutrient availability", "Herbivory", "species richness", "light interception", "invasibility"], "contacts": [{"organization": "Wang, Xiao-Yan, Wang, Jiang, Gao, Song, Hong, Hefang, Xue, Wei, Yuan, Jiwei, van Kleunen, Mark, Li, Junmin,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.3r2280gp2"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.3r2280gp2", "name": "item", "description": "10.5061/dryad.3r2280gp2", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.3r2280gp2"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-04-26T00:00:00Z"}}, {"id": "10.5061/dryad.3xsj3txc0", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:08Z", "type": "Dataset", "title": "Data from: Megafauna biogeography explains plant functional trait variation in the tropics", "description": "unspecifiedThe dataset that is made  available here cosists of two files in .csv format. The first is the  complete trait dataset for specific leaf area (sla;  mm<sup>2</sup>.mg<sup>-1</sup>), wood density  (woo; g.cm<sup>-3</sup>), HMax (m) and Spines (yes/no). The  list of reference sources for trait data is presentes in the end of this  note. Other abreviations in this file are: ref.sla: reference sources for  sla data; ref.woo: reference sources for wood density data; ref.hmax:  reference sources for hmax data; mat:\u00a0 mean annual temperature; map: mean  annual precipitation; rs: rainfall seasonality; nfires5: number of fires  per 5 km area (our proxy for fire frequency); avgfrp: average fire  radiative power (our proxy for fire intensity); cec: soil cation exchange  capacity; orc: soil organic carbon content; cly: weight percentage of clay  particles (&lt;0.0002 mm) in the soil; slt: weight percentage of silt  particles (0.0002\u20130.05 mm) in the soil; snd: weight percentage of the sand  particles (0.05\u20132 mm) in the soil; crf: volumetric percentage of coarse  fragments (&gt;2 mm) in the soil. The second file attached is a  dataset of Geoxyle species (geox; y(yes)/n(no)) for a subset of the  Brazilian Cerrado species. \u00a0 <strong>Complete Reference  Sources for the Funcitonal Trait Data</strong> \u00a0 Abbot, P., Lowore, J., Khofi, C. &amp; Werren, M. (1997). Defining firewood quality: A comparison of quantitative and rapid appraisal techniques to evaluate firewood species from a Southern African Savanna. <i>Biomass and Bioenergy</i>, <b>12</b>, 429\u2013437. Abe, N., Miatto, R.C. &amp; Batalha, M.A. (2018). Relationships among functional traits define primary strategies in woody species of the Brazilian \u201ccerrado.\u201d <i>Revista Brasileira de Botanica</i>, <b>41</b>, 351\u2013360. African Plant Database (version 3.4.0). Conservatoire et Jardin botaniques de la Ville de Gen\u00e8ve and South African National Biodiversity Institute, Pretoria, 'Retrieved in january 2020', from &lt;http://www.ville-ge.ch/musinfo/bd/cjb/africa/&gt;. Balch, J.K., Nepstad, D.C., Curran, L.M., Brando, P.M., Portela, O., Guilherme, P., Reuning-Scherer, J.D. &amp; de Carvalho, O. (2011). Size, species, and fire behavior predict tree and liana mortality from experimental burns in the Brazilian Amazon. <i>Forest Ecology and Management</i>, <b>261</b>, 68\u201377. Barbosa, R.I. &amp; Fearnside, P.M. (2004). Wood density of trees in open savannas of the Brazilian Amazon. <i>Forest Ecology and Management</i>, <b>199</b>, 115\u2013123. Batalha, M.A., Silva, I.A., Cianciaruso, M.V., Fran\u00e7a, H. &amp; de Carvalho, G.H. (2011). Phylogeny, traits, environment, and space in cerrado plant communities at Emas National Park (Brazil).. <i>Flora - Morphology, Distribution, Functional Ecology of Plants</i>, <b>206</b>, 949\u2013956. Borchert, R. (1994). Soil and stem water storage determine phenology and distribution of tropical dry forest trees. <i>Ecology</i>, <b>75</b>, 1437\u20131449. Bucci, S.J., Goldstein, G., Meinzer, F.C., Scholz, F.G., Franco,\u00a0 a C. &amp; Bustamante, M. (2004). Functional convergence in hydraulic architecture and water relations of tropical savanna trees: from leaf to whole plant. <i>Tree physiology</i>, <b>24</b>, 891\u20139. Bucci, S.J., Scholz, F.G., Goldstein, G., Meinzer, F.C., Franco, A.C., Campanello, P.I., Villalobos-Vega, R., Bustamante, M. &amp; Miralles-Wilhelm, F. (2006). Nutrient availability constrains the hydraulic architecture and water relations of savannah trees. <i>Plant, cell &amp; environment</i>, <b>29</b>, 2153\u201367. Cianciaruso, M. V., Silva, I.A., Manica, L.T. &amp; Souza, J.P. (2013). Leaf habit does not predict leaf functional traits in cerrado woody species. <i>Basic and Applied Ecology</i>, <b>14</b>, 404\u2013412. Costa, T.G., Bianchi, M.L., Prot\u00e1sio, T. de P., Trugilho, P.F. &amp; Pereira, A.J. (2014). Wood quality of five species from cerrado for production of charcoal. <i>Cerne</i>, <b>20</b>, 37\u201345. Dantas, V.L. &amp; Batalha, M.A. (2012). Can antiherbivory resistance explain the abundance of woody species in a Neotropical savanna? <i>Botany</i>, <b>90</b>, 93\u201399. Dantas, V.L., Batalha, M.A. &amp; Pausas, J.G. (2013). Fire drives functional thresholds on the savanna\u2013forest transition. <i>Ecology</i>, <b>94</b>, 2454\u20132463. Domingues, T.F., Meir, P., Feldpausch, T.R., Saiz, G., Veenendaal, E.M., Schrodt, F., Bird, M., Djagbletey, G., Hien, F., Compaore, H., Diallo, A., Grace, J. &amp; Lloyd, J. (2010). Co-limitation of photosynthetic capacity by nitrogen and phosphorus in West Africa woodlands. <i>Plant, Cell and Environment</i>, <b>33</b>, 959\u2013980. Flora do Brasil 2020 in construction. Jardim Bot\u00e2nico do Rio de Janeiro. Available at: &lt; http://floradobrasil.jbrj.gov.br/ &gt;. Accessed in January 2020 Hao, G.Y., Hoffmann, W.A., Scholz, F.G., Bucci, S.J., Meinzer, F.C., Franco, A.C., Cao, K.F. &amp; Goldstein, G. (2008). Stem and leaf hydraulics of congeneric tree species from adjacent tropical savanna and forest ecosystems. <i>Oecologia</i>, <b>155</b>, 405\u2013415. Higgins, S.I., Bond, W.J., Combrink, H., Craine, J.M., February, E.C., Govender, N., Lannas, K., Moncreiff, G. &amp; Trollope, W.S.W. (2012). Which traits determine shifts in the abundance of tree species in a fire-prone savanna? <i>Journal of Ecology</i>, <b>100</b>, 1400\u20131410. Kitajima, K. &amp; Poorter, L. (2010). Tissue-level leaf toughness, but not lamina thickness, predicts sapling leaf lifespan and shade tolerance of tropical tree species. <i>New Phytologist</i>, <b>186</b>, 708\u2013721. Markesteijn, L. &amp; Poorter, L. (2009). Seedling root morphology and biomass allocation of 62 tropical tree species in relation to drought- and shade-tolerance. <i>Journal of Ecology</i>, <b>97</b>, 311\u2013325. Markesteijn, L., Poorter, L., Paz, H., Sack, L. &amp; Bongers, F. (2011). Ecological differentiation in xylem cavitation resistance is associated with stem and leaf structural traits. <i>Plant, Cell and Environment</i>, <b>34</b>, 137\u2013148. Meir, P., Levy, P.E., Grace, J. &amp; Jarvis, P.G. (2007). Photosynthetic parameters from two contrasting woody vegetation types in West Africa. <i>Plant Ecology</i>, <b>192</b>, 277\u2013287. Miatto, R.C. (2011). A inclus\u00e3o da abund\u00e2ncia na diversidade funcional aumenta o seu poder de previs\u00e3o?: teste em uma comunidade de cerrado. 37. Miatto, R.C., Wright, I.J. &amp; Batalha, M. a. (2016). Relationships between soil nutrient status and nutrient-related leaf traits in Brazilian cerrado and seasonal forest communities. <i>Plant and Soil</i>. Nygard, R. &amp; Elfving, B. (2000). Stem basic density and bark proportion of 45 woody species in young savanna coppice forests in Burkina Faso. <i>Annals of Forest Science</i>, <b>57</b>, 143\u2013153. Oliveira-filho, A.T. (2017). NeoTropTree, Flora arb\u00f3rea da Regi\u00e3o Neotropical: Um banco de dados envolvendo biogeografia, diversidade e conserva\u00e7\u00e3o. <i>Universidade Federal de Minas Gerais</i>. Van der Plas, F., Howison, R., Reinders, J., Fokkema, W. &amp; Olff, H. (2013). Functional traits of trees on and off termite mounds: Understanding the origin of biotically-driven heterogeneity in savannas. <i>Journal of Vegetation Science</i>, <b>24</b>, 227\u2013238. Poorter, L., McDonald, I., Alarcon, A., Fichtler, E., Licona, J.-C., Pe\u00f1a-Carlos, M., Sterck, F., Villegas, Z. &amp; Sass-klaassen, U. (2010). The importance of wood traits and hydraulic conductance for the performance and life history strategies of 42 rainforest tree species - Poorter - 2009 - New Phytologist - Wiley Online Library. <i>New Phytologist</i>, 481\u2013492. Ribeiro, S.C., Fehrmann, L., Soares, C.P.B., Jacovine, L.A.G., Kleinn, C. &amp; de Oliveira Gaspar, R. (2011). Above- and belowground biomass in a Brazilian Cerrado. <i>Forest Ecology and Management</i>, <b>262</b>, 491\u2013499. Santiago, L.S., Goldstein, G., Meinzer, F.C., Fisher, J.B., Machado, K., Woodruff, D. &amp; Jones, T. (2004). Leaf photosynthetic traits scale with hydraulic conductivity and wood density in Panamanian forest canopy trees. <i>Oecologia</i>, <b>140</b>, 543\u2013450. Scogings, P.F., Taylor, R.W. &amp; Ward, D. (2012). Inter and intra-plant variations in nitrogen, tannins and shoot growth of Sclerocarya birrea browsed by elephants. <i>Plant Ecology</i>, <b>213</b>, 483\u2013491. Vale, A.T., Dias, I.S. &amp; Santana, M.A.E. (2010). Rela\u00e7\u00f5es entre propriedades qu\u00edmicas, f\u00edsicas e energ\u00e9ticas da madeira em cinco esp\u00e9cies de cerrado. <i>Ci\u00eanc ia Florestal</i>, <b>20</b>, 137\u2013145. Vinya, R., Malhi, Y., Brown, N. &amp; Fisher, J.B. (2012). Functional coordination between branch hydraulic properties and leaf functional traits in miombo woodlands: Implications for water stress management and species habitat preference. <i>Acta Physiologiae Plantarum</i>, <b>34</b>, 1701\u20131710. Yeaton, R. (1988). Porcupines , Fires and the Dynamics of the Tree Layer of the Burkea Africana Savanna. <i>Journal of Ecology</i>, <b>76</b>, 1017\u20131029. Zanne, A.E., Lopez-Gonzalez, G., Coomes, D.A., Ilic, J., Jansen, S., Lewis, S.L., Miller, R.B., Swenson, N.G., Wiemann, M.C. &amp; Chave, J. 2009. Global wood density database. Dryad. Identifier: http://hdl.handle.net/10255/dryad.235 Zizka, A., Govender, N. &amp; Higgins, S.I. (2014). How to tell a shrub from a tree: A life-history perspective from a South African savanna. <i>Austral Ecology</i>, <b>39</b>, 767\u2013778.", "keywords": ["megafauna", "specific leaf area (SLA)", "spines", "15. Life on land", "Maximum tree height", "Wood density", "geoxylic suffrutex"], "contacts": [{"organization": "Dantas, Vin\u00edcius, Pausas, Juli,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.3xsj3txc0"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.3xsj3txc0", "name": "item", "description": "10.5061/dryad.3xsj3txc0", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.3xsj3txc0"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-04-29T00:00:00Z"}}, {"id": "10.5061/dryad.4hj00fr", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:08Z", "type": "Dataset", "title": "Data from: Ecosystem context illuminates conflicting roles of plant diversity in carbon storage", "description": "unspecifiedPlant diversity can increase biomass production in plot\u2010scale studies, but  applying these results to ecosystem carbon (C) storage at larger spatial  and temporal scales remains problematic. Other ecosystem controls interact  with diversity and plant production, and may influence soil pools  differently from plant pools. We integrated diversity with the  state\u2010factor framework, which identifies key controls, or \u2018state factors\u2019,  over ecosystem properties and services such as C storage. We used this  framework to assess the effects of diversity, plant traits and state  factors (climate, topography, time) on live tree, standing dead, organic  horizon and total C in Qu\u00e9bec forests. Four patterns emerged: (1) while  state factors were usually the most important model predictors, models  with both state and biotic factors (mean plant traits and diversity)  better predicted C pools; (2) mean plant traits were better predictors  than diversity; (3) diversity increased live tree C but reduced organic  horizon C; (4) different C pools responded to different traits and  diversity metrics. These results suggest that, where ecosystem properties  result from multiple processes, no simple relationship may exist with any  one organismal factor. Integrating biodiversity into ecosystem ecology and  assessing both traits and diversity improves our mechanistic understanding  of biotic effects on ecosystems.", "keywords": ["Richness", "services", "13. Climate action", "15. Life on land", "state factor"], "contacts": [{"organization": "Adair, E. Carol, Hooper, David U., Paquette, Alain, Hungate, Bruce A.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.4hj00fr"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.4hj00fr", "name": "item", "description": "10.5061/dryad.4hj00fr", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.4hj00fr"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-07-30T00:00:00Z"}}, {"id": "10.5061/dryad.51c59zwfs", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:09Z", "type": "Dataset", "created": "2023-11-17", "title": "A meta-analysis reveals increases in soil organic carbon following the restoration and recovery of croplands in Southwest China", "description": "unspecifiedIn China, the Grain for Green Program (GGP) is an ambitious project to  convert croplands into natural vegetation, but exactly how changes in  vegetation translate into changes in soil organic carbon remains less  clear. Here we conducted a meta-analysis using 734 observations to explore  the effects of land recovery on the soil organic carbon and nutrients in 4  provinces in Southwest China. Following GGP, the soil organic carbon  content (SOCc) and soil organic carbon storage (SOCs) increased by 33.73%  and 22.39%, respectively. Likewise, soil nitrogen increased, while  phosphorus decreased. Outcomes were heterogeneous, however, depending on  variation in soil and environmental characteristics. Both the regional  land use and cover change indicated by landscape type transfer matrix and  net primary production from 2000 to 2020 further confirmed that GGP  promoted the forest area (2.95%) and regional mean net primary production  (52.94%). Our findings suggest that GGP could enhance soil and vegetation  carbon sequestration in Southwest China and help to develop carbon neutral  strategy.", "keywords": ["2. Zero hunger", "soil organic carbon", "Net primary production", "Grain for Green Program", "FOS: Other natural sciences", "landscape type transfer matrix", "forest restoration", "15. Life on land", "Southwest China"], "contacts": [{"organization": "Guo, Zihao, Zhang, Shuting, Zhang, Lichen, Xiang, Yangzhou, Wu, Jianping,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.51c59zwfs"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.51c59zwfs", "name": "item", "description": "10.5061/dryad.51c59zwfs", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.51c59zwfs"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-12-04T00:00:00Z"}}, {"id": "10.5061/dryad.51r23", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:09Z", "type": "Dataset", "title": "Data from: Foliar nutrient concentrations and resorption efficiency in plants of contrasting nutrient-acquisition strategies along a 2-million year dune chronosequence", "description": "unspecifiedJurien Bay leaf nutrient dataDescription Leaf nutrient concentration and  C/N stable isotope data for 18 plant species across five dune  chronosequence stages along the Jurien Bay chronosequence. Format A data  frame with 508 observations on the following 22 variables: plot factor  with names of 50 10x10-m plots stage factor indicating chronosequence  stage (1 = youngest, 5 = oldest) species factor with full plant species  names state factor with leaf state: mature or senesced date sampling date  ICP factor stating whether nutrients other than C and N were analysed with  a radial or axial ICP equipment for each sample C leaf carbon  concentration (%) Ca leaf calcium concentration (microg g^-1) Cd leaf  boron concentration (microg g^-1) Cu leaf copper concentration (microg  g^-1) Fe leaf iron concentration (microg g^-1) K leaf potassium  concentration (microg g^-1) Mg leaf magnesium concentration (microg g^-1)  Mn leaf manganese concentration (microg g^-1) Mo leaf molybdenum  concentration (microg g^-1) Na leaf sodium concentration (microg g^-1) P  leaf phosphorus concentration (microg g^-1) S leaf sulfur concentration  (microg g^-1) Zn leaf zinc concentration (microg g^-1) N leaf nitrogen  concentration (microg g^-1) d15N delta-N-15 (permil Air) d13C delta-C-13  (permil VPDB) Details For leaf sampling, we used 50 plots (10 m x 10 m  each) from five chronosequence stages where vegetation had been  characterised previously. Using the vegetation survey data, we ranked  species in each of the five chronosequence stages from the most to the  least abundant, based on canopy cover estimates. We then selected 5\u20137  species from each stage, targeting the most abundant species for each of  four contrasting nutrient-acquisition strategies: arbuscular mycorrhizal  (AM), ectomycorrhizal (EM), N-fixing (NF) and non-mycorrhizal (NM) (see  juriensp for strategies). Ericoid mycorrhizal species were not considered  because they were not among the most abundant species. We note that  N-fixing species are generally AM and/or EM, but we considered them as a  separate group because they often show high foliar [N]. Species were  selected from the ten most-abundant species per stage, with the exception  of stage 4 where the 18 most-abundant species were considered. The  selected species accounted for between 38% (stage 5) and 65% (stage 1) of  the total canopy cover of each stage. A total of 18 species were selected  for leaf sampling. All leaf material was collected over a two-month period  between late March and early May 2012, near the end of the dry summer  season. In each of the 50 plots, only healthy mature individuals were  selected for sampling. In general, mature and senesced leaves were sampled  from one individual plant per species in each plot. A species was  considered absent from a plot if it could not be found within ~30 m of its  centre. The number of individual collections (one collection = both mature  and senesced leaves) per species in each chronosequence stage ranged from  five to ten. In each case, representative samples of mature and senesced  leaves were collected using nitrile gloves in order to minimise sample  contamination. Leaves were not washed prior to nutrient analyses but we  consider dust contamination to be highly unlikely, given the sandy nature  of the soils. Mature leaves were undamaged, fully expanded and exposed to  full sunlight. In most cases, senesced leaves were collected directly from  the plant by gently shaking the plant and collecting fallen leaves.  Senesced leaves were easily distinguished from green leaves, since they  were yellow or brown and detached easily from the plant. However, for a  few species it was not possible to collect senesced leaves from live  plants, in which case senesced leaves were collected directly beneath the  plant from recently fallen litter. In all cases, there was no visible  degradation of senesced leaves collected from this litter, which had  predominantly fallen during the summer and had not been exposed to any  significant rain between litter fall and collection. Therefore, we assumed  that losses of nutrients through leaching or decomposition were minimal,  although some photodegradation may have occurred. A total of 508 leaf  samples (mature and senesced) were collected for nutrient analyses. Each  leaf sample was oven-dried (70 degrees C, 48 h) and finely ground using a  Teflon-coated stainless steel ball mill. A subsample was analysed for  carbon (C) and nitrogen (N) concentrations using a continuous-flow system  consisting of a SERCON 20-22 mass spectrometer connected with an automated  nitrogen/carbon analyser (Sercon, Crewe, UK). Stable isotopes of C and N  were analysed using a continuous flow system consisting of a SERCON 20-22  mass spectrometer connected with an automated N/C analyser (Sercon, Crewe,  UK). These analyses were done at the Western Australian Biogeochemistry  Centre, located at the University of Western Australia. A second subsample  was acid-digested using concentrated HNO3:HClO4 (3:1) and analysed for Ca,  Cd, Cu, Fe, K, Mg, Mn, Mo, Na, P, S and Zn concentrations using  inductively coupled plasma-atomic emission spectrometry (ICP-AES;  ChemCentre, Perth, Australia). All digests were first analysed using a  simultaneous Varian Vista Pro (Australia), radially configured ICP-AES  equipment fitted with a charge-coupled device (CCD) detection system and  an A.I. Scientific AIM-3600 auto-sampler. Samples with P concentrations  close to minimum reporting limit were re-run on more sensitive  axially-configured ICP-AES equipment. The ICP analyses were done at the WA  Chemcentre.jurienleafnut.csv", "keywords": ["Banksia leptophylla", "soil fertility gradient", "nutrient-resorption efficiency", "Acacia rostellifera", "Acanthocarpus preissii", "Spyridium globulosum", "Conostylis candicans", "Banksia attenuata", "Jacksonia floribunda", "Scaevola crassifolia", "nutrient-use efficiency", "Holocene", "manganese accumulation", "nutrient-resorption proficiency", "Mesomelaena pseudostygia", "Phosphorus", "Melaleuca systena", "15. Life on land", "Olearia axillaris", "Banksia menziesii", "Lepidosperma squamatum", "Hardenbergia comptoniana", "Melaleuca leuropoma", "Zinc", "Banksia sessilis", "Hibbertia hypericoides", "Acacia spathulifolia"], "contacts": [{"organization": "Hayes, Patrick, Turner, Benjamin L., Lambers, Hans, Lalibert\u00e9, Etienne,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.51r23"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.51r23", "name": "item", "description": "10.5061/dryad.51r23", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.51r23"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-11-18T00:00:00Z"}}, {"id": "10.5061/dryad.547d7wmbf", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:09Z", "type": "Dataset", "title": "Dataset for manuscript entitled: Switchgrass cropping systems affect soil carbon and nitrogen and microbial diversity and activity on marginal lands", "description": "unspecifiedSwitchgrass (Panicum virgatum\u00a0L.),\u00a0as a dedicated  bioenergy crop, can provide cellulosic feedstock for biofuel production  while improving or maintaining soil quality. However, comprehensive  evaluations of how switchgrass cultivation and nitrogen (N) management  impact soil and plant parameters remain incomplete. We  conducted\u00a0field trials in three years (2016\u20132018) at six  locations in the North Central Great Lakes Region to evaluate the effects  of cropping systems (switchgrass, restored prairie,\u00a0undisturbed  control) and N rates (0, 56 kg N ha-1\u00a0yr-1) on biomass yield and  soil physicochemical, microbial, and enzymatic  parameters.\u00a0Switchgrass cropping system yielded  an\u00a0aboveground biomass 2.9\u20133.3 times higher than\u00a0the  other two systems (Jayawardena et al., In submission) but our study found  that this biomass accumulation didn\u2019t reduce soil dissolved organic C  (DOC), total dissolved N (TDN), or bacterial diversity. The annual  aboveground biomass removal for bioenergy feedstock, however,  reduced\u00a0soil\u00a0microbial biomass C (MBC) and N (MBN) and  bacterial richness in the 2nd\u00a0and 3rd\u00a0years; despite  this, continuous monocropping of switchgrass improved soil TDN, inorganic  N, bacterial diversity, and shoot biomass in the 2nd\u00a0and/or  3rd\u00a0years when compared to the 1st\u00a0year. N fertilization  increased aboveground biomass yield by 1.2 times and significantly  increased soil TDN, MBN, and the shoot biomass of switchgrass when  compared to the unfertilized control. Locations with higher C and N  contents and lower C:N ratio had higher aboveground biomass, MBC, MBN, and  the activity of BG, CBH, and UREA enzymes; by contrast, locations with  higher pH had higher soil TDN and activity of NAG and LAP  enzymes.\u00a0Our research demonstrates that switchgrass cultivation  could improve or maintain soil N content and N fertilization can increase  plant biomass yield. The comprehensive data also can inform future  biogeochemical models to successfully implement switchgrass for bioenergy  production.", "keywords": ["2. Zero hunger", "Switchgrass", "soil fertility", "FOS: Agricultural sciences", "Bioenergy", "Microbial richness and diversity", "15. Life on land", "7. Clean energy", "N fertilization", "6. Clean water", "enzyme activity"], "contacts": [{"organization": "Li, Xiufen, Petipas, Renee, Antoch, Amanda, Liu, Yuan, Stel, Holly, Bell-Dereske, Lukas, Smercina, Darian, Bekkering, Cody, Evans, Sarah, Tiemann, Lisa, Friesen, Maren,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.547d7wmbf"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.547d7wmbf", "name": "item", "description": "10.5061/dryad.547d7wmbf", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.547d7wmbf"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-27T00:00:00Z"}}, {"id": "10.5061/dryad.51c59zwgj", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:09Z", "type": "Dataset", "created": "2024-04-02", "title": "Data from: Evidence for reductions in physical and chemical plant defense traits in island flora", "description": "Open Access# Evidence for Reductions in Physical and Chemical Plant Defense Traits in  Island Flora  [https://doi.org/10.5061/dryad.51c59zwgj](https://doi.org/10.5061/dryad.51c59zwgj) This dataset consists of three primary data sources: (1) Morphological and chemical measurements of leaf traits, collected from five taxonomic pairs of chaparral shrubs (*Ceanothus megacarpus*, *Cercocarpus betuloides*, *Dendromecon rigida/harfordii*, *Heteromeles arbutifolia*, *Prunus ilicifolia*) at three sites on the California Channel Islands (Santa Rosa, Santa Cruz, Santa Catalina) and three sites on the California mainland. (2) Morphological and chemical measurements of the same leaf traits from the same species, but this time measured from plants growing at botanic gardens (3) Morphological, chemical, and biomass data from a common garden experiment with *Stachys bullata*, with genotypes from two islands (Santa Rosa, Santa Cruz) and four mainland locations In addition, our analysis also includes bioclimatic data and local precipitation data accessed from publicly available sources. ## Description of the data and file structure This dataset is organized into two folders: **data_files** and **scripts** --- ***DATA_FILES*** Within the **data_files** folder, there are folders for '**Shrubs**' (corresponding to 1 and 2 above) and '**Stachys**' (corresponding to 3 above). **SHRUBS** The **Shrubs** folder contains one file (**Bowen and Van Vuren Effect Sizes.xlsx**), which summarizes the results from Bowen and Van Vuren (1997 ([https://www.jstor.org/stable/2387407](https://www.jstor.org/stable/2387407), directly as reported in their Tables 2, 3, 4, and 5 in the main text. Variables in this datafile include: 1. Trait - the plant trait that was measured in their study 2. Genus - the taxonomic unit being measured 3. t - the value of the t-statistic from a paired t-test of island vs. mainland samples for a given genus 4. n island - sample size for island plants 5. n mainland - sample size for mainland plants 6. Cohen's D - derived value that expresses insularity effect size for a given measure The **Shrubs** folder also contains four subfolders: **Cyanide**, **Images**, **Mapping**, and **Morphology** The **Cyanide** folder contains two files: 1. **cyanide_calibration.csv** - file containing measurements used to define calibration curve for quantifying evolved HCN from leaf tissue. 1. conc = concentration of potassium cyanide (KCN) standard used in calibration (mg/L) 2. abs = absorbance value returned by VWR V-1200 spectrometer, measured at 510 nm 2. **cyanide_measurements.csv** - file containing measurements of evolved HCN from field and botanic garden leaf tissue. PlantID values are the same as those reported for all other morphological measurements. 'NA' values in this dataset correspond to samples whose absorbance values were outside the range of our calibration curve or that were otherwise not suitable to include in analysis. 1. Age = whether leaf tissue was newly expanded ('young') or mature ('old') 2. Tissue_Mass = amount of frozen tissue used in assay (mg) 3. Dilution 1 = amount of water (mL) into which evolved HCN (in NaOH) was added prior to titration with citric acid. This value is 30 mL for all samples. 4. Dilution 2 = dilution factor. Here, a value of 1 means that 5 mL of citrate buffer was mixed with 5 mL water (1:1 ratio) and used in the subsequent reaction. A value of 10 means that 1 mL of citrate buffer was mixed with 10 mL water (1:10 ratio). 5. Sample Concentration = concentration of HCN in sample (mg/L), calculated using the calibration curve above. Samples with absorbance values above 0.500 were omitted and re-measured at reduced concentration, as this was beyond the concentration limit recommended by the manufacturer instructions. 6. Tissue Concentration = value relating dilution factor and sample mass to sample concentration. Expressed in milligrams of HCN per gram of leaf tissue. The **Images** folder contains all scanned leaf images (n = 626). File names correspond to plant species, plant ID, sampling site, and canopy position (see chaparral_leaf_morphology.csv below for a full description). So, for example, CMEG44_SMM_Upper refers to Ceanothus megacarpus, Plant ID = 44, sampled from the Santa Monica Mountains (SMM), upper canopy. Note also that each leaf within each image is individually numbered. The **Mapping** folder contains two files: 1. **shrubs_coordinates.csv** - contains coordinates and elevation for all field-sampled plants, recorded using a handheld Garmin GPS unit 2. **site_coordinates.csv** - contains broad site-level coordinates used for making map in Figure 1 The **Morphology** folder contains two files: 1. **chaparral_leaf_morphology.csv** - the primary datafile for this study, with each row (n = 5665) corresponding to a single leaf. For a visual depiction of the measurement protocol, see Supplemental Figures. Leaf measurements reported as NA generally correspond to leaves that were severely damaged, from which measurements could be reliably taken. 1. Index = sorting variable 2. IM = refers to whether a given plant was growing at an island or mainland site 3. Source = the original provenance of a given plant. For all field-sampled plants, the value here is the same as the value for 'Site' 4. Site = the location where plants were sampled. Includes all field sampling locations as well as the two botanic gardens 5. Exclosure = yes/no variable, only relevant to Catalina Island, describing whether sampled plant was inside of a deer exclosure 6. Species = taxon being measured 7. Plant = Plant ID, a unique value for each individual plant. Note that botanic garden samples have their own non-integer codes, and for Rancho Santa Ana Botanic Garden, these codes can be cross-referenced against the garden's living collections 8. Position = refers to whether a sampled branch came from the upper (&gt;2m) or lower portion of the plant's canopy 9. Aspect = recorded from the Garmin GPS, refers to predominant downward slope direction. Not recorded for botanic garden plants (marked as NA) or for plants from completely flat ground. 10. Elevation = elevation in meters of sampled plants 11. Diameter1 = diameter (cm) of the primary plant trunk at 0.25m (NA means that stem could not be reliably measured) 12. Diameter2 = diameter (cm) of any secondary plant trunk at 0.25m (only applicable for multi-stemmed plants; NA means that stem could not be reliably measured) 13. Stem_Area = derived measure of stem area (cm^2), based on trunk diameter, used as a rough proxy for plant age (NA means that stem could not be reliably measured) 14. 1st_year = refers to whether an individual leaf was newly emerged growth (1) or fully expanded and mature (0) 15. Leaf_ID = corresponds to the numbers in each leaf scan; identifies each individual leaf from a given branch 16. Leaf_Length = leaf length (cm) along its primary axis, excluding the petiole 17. Leaf_Area_petiole = leaf area (cm^2), including the petiole 18. Leaf_Area_no.petiole = leaf area (cm^2), excluding the petiole 19. Internal_area_correction = cumulative area of any 'holes' missing within the leaf perimeter (cm^2) 20. True_area = Leaf_Area_no.petiole minus Internal_area_correction (cm^2) 21. Leaf_area_corrected = leaf area, after manually filling in gaps missing due to presumed herbivore damage (cm^2) 22. Leaf_area_corrected_final = Leaf_area_corrected minus Internal_area_correction (cm^2) 23. Area_no_spines = leaf area after connecting vertices created by leaf spines (cm^2), using to calculate spinescence (%) 2. **shrub_leaf_masses.csv** - cumulative mass (g) of fully expanded leaf tissue from each branch, summed across all individual leaves. Used for calculating specific leaf area (SLA). **STACHYS** The **Stachys** folder contains three subfolders: **Chemistry**, **Morphology**, and **Setup** The **Chemistry** folder contains two files and one sub-directory: 1. **stachys_chromatograms** contains raw GC-MS readout for six leaf chemistry samples. Within each of the corresponding subfolders, the tic_front.csv file was used to generate the chromatograms shown in Figure 6A. 2. **stachys_compound_list.csv** is the full list of compounds detected in our samples. RT refers to the retention time (in minutes) of each compound. Identifications are putative. 3. **stachys_leaf_vocs.csv** is the full data matrix of leaf volatile compounds, with each sample as its own row and data columns each corresponding to a single compound. Values in this data matrix correspond to integrated peak areas, which are a proxy for the abundance of each compound. The **Morphology** folder contains two files: 1. **Anet-stbu.xlsx** contains gas exchange measurements for 26 plants measured in the common garden. The gas exchange column is net carbon assimilation, expressed as CO2 uptake per unit time per unit leaf area (\u00b5mol of CO2 m-2 s-1). 2. **sla_sbbg.csv** contains specific leaf area measurements for *Stachys* plants in the common garden. Note that plant #54 had died by the time of data collection, hence its values of NA across all columns. 1. ID = individual plant ID 2. SLA = cumulative area/ cumulative mass (cm^2/g) 3. leaves = refers to the number of leaves used for generating SLA measurement 4. area/leaf = cumulative area/ leaf number (cm^2/leaf) The **Setup** folder contains three files: 1. **321dailys.xls** is a file containing annual precipitation records (inches) for the Santa Barbara Botanic Garden, accessed from: [https://www.countyofsb.org/2328/Daily-Rainfall-Data-XLS](https://www.countyofsb.org/2328/Daily-Rainfall-Data-XLS) 2. **Field_Setup_SBBG.csv** is the primary file containing details on the primary garden experiment. Note that samples with masses recorded as NA were either dead at the time of sampling. Plants grown on Santa Cruz Island have values of NA for row and column, as this common garden was not arranged in a grid. 1. Index = individual plant ID 2. Population = provenance of plant 3. Garden = whether plants were grown at the Santa Barbara Botanic Garden (primary common garden site) or at the field station on Santa Cruz Island (secondary garden location with only Santa Cruz genotypes) 4. Genotype = identifier given to field-collected rhizomes, which were then propagated and split prior to planting out 5. Cumulative_Mass = mass (g) of paper bag and all of its contents, used for measuring end-of-season plant aboveground biomass 6. Bag_Mass = mass (g) of bag itself (without its contents) 7. Inside_Bag_Mass = mass (g) of smaller paper bags contained within larger bags, including all of their contents. Though not analyzed, these inside bags included all plant biomass collected from outside of the gopher cage that plants were growing in. 8. Inside_Bag_Only_Mass = as above, mass (g) of inner bag itself (without its contents) 9. Year = whether biomass was collected in 2016 or 2017 10. Row = grid location within common garden. Row 1 was at the bottom of the slope shown in Figure 2. 11. Column = grid location within common garden. 3. **stachys_coordinates.csv** contains coordinates for the six collecting sites, used to make the map in Figure 2. --- ***SCRIPTS*** All analyses for this project were conducted in the R programming language (version 4.1.3). Scripts used for analysis are arranged in two folders: **Shrubs** and **Stachys** The **Shrubs** folder contains the following scripts: 1. **coordinates_shrubs_stachys.R** - script used for generating all maps, including those in Figures 1 and 2 and the Google Earth maps in the supplementary figures 2. **cyanide_calibration.R** - script for plotting the calibration curve for relating evolved absorbance values to evolved HCN 3. **shrub_leaf_morphology_chemistry.R** - primary analysis script for manuscript, containing all major statistical analyses and plotting 4. **shrubs_BioClim.R** - script used for extracting bioclimatic data for field-sampled plants; containing code generating climate figures shown in supplementary materials The **Stachys** folder contains the following scripts: 1. **sbbg_precip_data.R** - very short script for summarizing water year totals for 2017 at the Santa Barbara Botanic Garden 2. **stachys_analysis.R** - primary script for generating all analyses and figures for *Stachys* common garden data 3. **stbu_gas_exchange.R** - script for analyzing gas exchange in common garden *Stachys* Note that for recreating some analyses and figures, users will need a Google Maps API key and will need to download data from the bioclim database. --- ## Sharing/Access information Data, code, and figures associated with this project are also available on GitHub at the following link: [https://github.com/micahfreedman/manuscripts/tree/master/Island_Mainland](https://github.com/micahfreedman/manuscripts/tree/master/Island_Mainland)", "keywords": ["Islands", "Morphology", "Dendromecon", "cyanogenic glycosides", "Ecology", "Terpenes", "Cercocarpus", "California Channel Islands", "Chemical ecology", "marginal spines", "Specific leaf area", "Plant science", "Heteromeles", "FOS: Biological sciences", "Stachys", "Other", "Prunus", "Herbivory", "Plant defenses", "Plant-herbivore interactions", "Ceanothus", "Ecology", " Evolution", " Behavior and Systematics"], "contacts": [{"organization": "Freedman, Micah", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.51c59zwgj"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.51c59zwgj", "name": "item", "description": "10.5061/dryad.51c59zwgj", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.51c59zwgj"}, {"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": "10.5061/dryad.547d7wmf3", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:09Z", "type": "Dataset", "created": "2023-08-15", "title": "Data from: Long-term changes in soil carbon and nitrogen fractions in switchgrass, native grasses, and no-till corn bioenergy production systems", "description": "unspecified# Data from: Long-term changes in soil carbon and nitrogen fractions in  switchgrass, native grasses, and no-till corn bioenergy production systems  These files contain data from soil and root samples use in this  publication. The R script uses this data to perform the statistical  analysis used in the publication. ## Description of the data and file  structure The soil and root data contain measured variables within each  experimental unit across multiple years during the study period. The  variable in the R script called 'top_level_directory' can be  changed to the path of the download files' directory to run the  analysis. Note that NA = not available. ## Code/Software There is an R  script provided that conducts the statistical analysis used in this study.  The necessary packages are listed at the top of the script. The variable  in the script called 'top_level_directory' can be changed to the  path of the download files' directory to run the analysis.", "keywords": ["2. Zero hunger", "native grasses", "Biofuel feedstocks", "Biofuel Cropping System Experiment", "soil nitrogen", "Bioenergy feedstock", "FOS: Earth and related environmental sciences", "15. Life on land", "7. Clean energy", "Soil carbon", "Zea mays", "mineral-assoicated organic matter", "Panicum virgatum", "13. Climate action", "Particulate organic matter", "root productivity", "soil aggregate"], "contacts": [{"organization": "Perry, Sophie, Falvo, Grant, Mosier, Samantha, Robertson, G. Philip,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.547d7wmf3"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.547d7wmf3", "name": "item", "description": "10.5061/dryad.547d7wmf3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.547d7wmf3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-08-25T00:00:00Z"}}, {"id": "10.5061/dryad.58m67", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:09Z", "type": "Dataset", "title": "Data from: Emissions and char quality of flame-curtain \"Kon Tiki\" kilns for farmer-scale charcoal/biochar production", "description": "unspecifiedPyrolysis of organic waste or woody materials yields charcoal, a stable  carbonaceous product that can be used for cooking or mixed into soil, in  the latter case often termed 'biochar'. Traditional kiln  technologies often used for charcoal production are slow and without  treatment of the pyrolysis gases, . This resultings in emissions of gases  (mainly methane and carbon monoxide) and aerosols that are both toxic and  contributes to greenhouse gas emissions, the most important being methane,  carbon monoxide and aerosols. In rRetort kilns where pyrolysis gases are  led back to a combustion chamber. This are faster and can reduce emissions  substantially, but isare costly and consumes a considerable amount of  valuable ignition material such as wood during start-up. To overcome these  problems, a novel type of technology, the Kon-Tiki flame curtain  pyrolysisrocess, is proposed. This technology combines the simplicity of  the traditional kiln with the combustion of pyrolysis gases in the flame  curtain (similar toachieved in the retort kilns)., also avoiding use of  external fuel for start-up. By adding feedstock layer by layer in an open  cone-shaped kiln, the pyrolysis gases formed underneath the flame curtain  are combusted, at the same time creating enough heat to avoid use of  external fuel for start-up. The rResults from this aA field study in Nepal  using various feedstocksmixtures of the ubiquitous invasive shrub  Eupatorium, rice husk and wood as feedstocks showed char yields of 22 \u00b1 5  % on a dry weight basis and 40 \u00b1 11 % on a C basis. Total pyrolysis time  was one to four hours per m3 of produced biochar. Biochars with high C  contents (76 \u00b1 9%; n=57), average surface areas (11 to 215 m2 g-1), low  EPA16 - PAHs (2.3 to 6.6 mg kg-1) and high CECs (43 to 217  cmolc/kg)(average for all feedstocks, mainly woody shrubs) were obtained,  in. Overall, the analytical data of all biocharsthe produced with this new  technologybiochars complianceed with the European Biochar Certificate  (EBC). The mMean emission factors for the flame curtain kilns found in  this study were (in g kg-1 biochar for all feedstocks); carbon dioxide  (CO2)= 4300 \u00b1 1700, carbon monoxide (CO)= 54 \u00b1 35, non-methane volatile  organic compounds (NMVOC)= 6 \u00b1 3, methane (CH4)= 30 \u00b1 60, aerosols (total  suspended particles, TSP, derived from (PM10) = 11 \u00b1 15, total products of  incomplete combustion (PIC)= 100 \u00b1 83 and nitric oxides (NOx)= 0.4 \u00b1 0.3.  The Kon Tikiflame curtain kilns emitted statistically significantly  (p&lt;0.05) lower amounts of CO, PIC and NOx than retort and  traditional kilns, and higher amounts of CO2. With benefits such as high  quality biochar, low emission, no need for start-up fuel, fast pyrolysis  time and, importantly, easy and cheap construction and operation the flame  curtain technology represent thus a promising possibility for sustainable  rural biochar production.", "keywords": ["13. Climate action", "kiln technology", "11. Sustainability", "biochar", "7. Clean energy", "6. Clean water", "12. Responsible consumption", "flame curtain", "gas emission factors"], "contacts": [{"organization": "Cornelissen, Gerard, Pandit, Naba Raj, Taylor, Paul, Pandit, Bishnu, Sparrevik, Magnus, Schmidt, Hans Peter,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.58m67"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.58m67", "name": "item", "description": "10.5061/dryad.58m67", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.58m67"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-04-20T00:00:00Z"}}, {"id": "10.5061/dryad.54ht3", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:09Z", "type": "Dataset", "title": "Data from: Effects of plant diversity on the concentration of secondary plant metabolites and the density of arthropods on focal plants in the field", "description": "Open Access1. The diversity of the surrounding plant community can directly affect  the abundance of insects on a focal plant as well as the size and quality  of that focal plant. However, to what extent the effects of plant  diversity on the arthropod community on a focal plant are mediated by host  plant quality or by the diversity of the surrounding plants remains  unresolved. 2. In the field, we sampled arthropod communities on focal  Jacobaea vulgaris plants growing in experimental plant communities that  were maintained at different levels of diversity (1, 2, 4 or 9 species)  for three years. Focal plants were also planted in plots without  surrounding vegetation. We recorded the structural characteristics of each  of the surrounding plant communities as well as the growth, and primary  and secondary chemistry (pyrrolizidine alkaloids, PAs) of the focal plants  to disentangle the potential mechanisms causing the diversity effects. 3.  Two years after planting, the abundance of arthropods on focal plants that  were still in the vegetative stage decreased with increasing plant  diversity, while the abundance of arthropods on reproductive focal plants  was not significantly affected by the diversity of the neighbouring  community. The size of both vegetative and reproductive focal plants was  not significantly affected by the diversity of the neighbouring community,  but the levels of PAs and the foliar N concentration of vegetative focal  plants decreased with increasing plant diversity. Structural equation  modelling revealed that the effects of plant diversity on the arthropod  communities on focal plants were not mediated by changes in plant quality.  4. Synthesis. Plant quality can greatly influence insect preference and  performance. However, under natural conditions the effects of the  neighbouring plant community can overrule the plant quality effects of  individual plants growing in those communities on the abundance of insects  associated to this plant.", "keywords": ["Phytochemistry", "Jacobaea vulgaris", "plant\u2013herbivore interactions", "plant quality", "insect community", "plant species richness", "Verwerkte data", "phytochemistry", "Processed data", "15. Life on land", "plant-herbivore interactions", "biodiversity"], "contacts": [{"organization": "Kostenko, O., Mulder, P.P.J., Courbois, Matthijs, Bezemer, T.M.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.54ht3"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.54ht3", "name": "item", "description": "10.5061/dryad.54ht3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.54ht3"}, {"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": "10.5061/dryad.5f5g8", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:09Z", "type": "Dataset", "title": "Data from: Melanization of mycorrhizal fungal necromass structures microbial decomposer communities", "description": "unspecifiedMeliniomyces_EA_Melanin_DecompositionElemental analyses, melanin concentration and decomposition data for melanized and non-melanized Meliniomyces bicolor necromass.Meliniomyces_Decomposition_EA_Dryad_Submission.xlsx", "keywords": ["mycorrhizal fungi", "necromass", "Melanin", "Carbon cycle", "15. Life on land", "Nitrogen cycle", "Meliniomyces bicolor"], "contacts": [{"organization": "Fernandez, Christopher W., Kennedy, Peter G.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.5f5g8"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.5f5g8", "name": "item", "description": "10.5061/dryad.5f5g8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.5f5g8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-09-20T00:00:00Z"}}, {"id": "10.5061/dryad.5qv78r3", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:09Z", "type": "Dataset", "title": "Data from: Large ecosystem service benefits of assisted natural regeneration", "description": "unspecifiedJGR-2018-Large ecosystem  service benefits of assisted natural regeneration", "keywords": ["assisted natural regeneration", "13. Climate action", "Ecosystem service", "Chinese-fir", "15. Life on land", "Chinese-fir plantation", "monoculture plantation"], "contacts": [{"organization": "Yang, Yusheng, Wang, Lixin, Yang, Zhijie, Xu, Chao, Xie, Jingsheng, Chen, Guangshui, Lin, Chengfang, Guo, Jianfen, Liu, Xiaofei, Xiong, Decheng, Lin, Weisheng, Chen, Shidong, He, Zongming, Lin, Kaimiao, Jiang, Miaohua, Lin, Teng-Chiu,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.5qv78r3"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.5qv78r3", "name": "item", "description": "10.5061/dryad.5qv78r3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.5qv78r3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-02-05T00:00:00Z"}}, {"id": "10.5061/dryad.61pm78v", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:09Z", "type": "Dataset", "title": "Data from: Tissue-specific carbon concentration, carbon stock, and distribution in Cunninghamia lanceolata (Lamb.) Hookplantations at various developmental stages in subtropical China", "description": "unspecifiedKey message Carbon (C) concentrations in Cunninghamia lanceolata (Lamb.)  Hook plantations differed significantly among tissue types and were  greater for aboveground than belowground tissues. Plantation C stock  increased with developmental stage from young to mature to overmature, but  at all stages the majority occurred as soil organic carbon (SOC) and was  more influenced by belowground fine roots than by aboveground litterfall.  Context Failing to account for tissue-specific variation in the C  concentration can result in inaccurate forest C stock estimates. Aims We  aimed to quantify the relative magnitudes of C stock for Chinese fir  plantations at different developmental stages. Specifically, we focused on  assessing tissue-specific C concentrations and C dynamics return of above-  and belowground litterfall. Methods Carbon traits (C concentration, C  flux, C stock and distribution at tree and ecosystem scales) were  quantified in a chronosequence of Chinese fir (Cunninghamia lanceolata  (Lamb.) Hook) monoculture plantation stands at young (10), mature (22),  and overmature (34 years old) developmental stages. Results Carbon  concentrations differed significantly among tissue types, with mean values  of 48.5 \u00b1 0.1% and 42.5 \u00b1 0.2% for above- and belowground biomass,  respectively. The aboveground tissue C concentration, tree- and  plantation-scale C stock, and SOC stock depended on developmental stage.  Carbon return in litterfall, tree C stock, and SOC increased from the  young to the overmature stage. SOC stock accounted for the majority of  plantation C stock at all developmental stages (78.3, 59.6 and 55.7% in  the young, mature and overmature stages, respectively) and was more highly  influenced by belowground fine roots than aboveground litterfall. Carbon  stocks in Chinese fir plantations were 86, 129, and 153 t ha-2 at the  young, mature, and overmature stages. Conclusion Prolonging Chinese fir  rotation increases C sequestration potential and should be the focus of  forest management strategies. The tissue-specific C concentrations provide  detailed information for more accurate biomass C stock estimates for  Chinese fir plantations and other subtropical coniferous forest. They  indicate that current guidelines result in an overestimation of  belowground biomass C stocks. Using the standard 0.47 biomass to C  conversion factor, the belowground C stock would have been overestimated  by 7.6-13.0% for the Chinese fir developmental stages investigated, while  tree C stock would be underestimated by 0.08-3.24%. Therefore, developing  species- and tissue-specific conversion factors are required for  supporting C plantation and forest C accounting strategies.", "keywords": ["soil organic carbon", "tissue-specific carbon concentrations", "Chinese fir", "15. Life on land", "Litterfall", "fine root", "Cunninghamia lanceolata", "monoculture plantation"], "contacts": [{"organization": "Zhou, Lili, Li, Shubin, Liu, Bo, Wu, Pengfei, Heal, Kate V, Ma, Xiangqing,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.61pm78v"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.61pm78v", "name": "item", "description": "10.5061/dryad.61pm78v", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.61pm78v"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-07-09T00:00:00Z"}}, {"id": "10.5061/dryad.70q4744", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:10Z", "type": "Dataset", "title": "Data from: Feedbacks between nitrogen fixation and soil organic matter increase ecosystem functions in diversified agroecosystems", "description": "unspecifiedSoil and N2  FixationMerged baseline data  from soil samples collected in fall 2014 or spring 2015 with data on  biological nitrogen fixation by hairy vetch at biomass sampling in spring  of 2016.Soil_2016BNF.csvN2 Fixation 2017Aboveground biomass and nitrogen content for hairy vetch and cereal rye, and biological nitrogen fixation by hairy vetch, measured in May, 2017.BNF2017.csvChange in soilEffect sizes for measured soil properties (i.e., the change in the property following two years of the cover crop mixture compared to the no cover control), calculated by subtracting the final value for each soil parameter measured in the mixture treatment from the final value measured in the no cover crop control at the May 2017 sampling.EffectSizes.csv", "keywords": ["2. Zero hunger", "13. Climate action", "Particulate organic matter", "soil organic matter", "agroecosystem", "Secale cereale L.", "mineralization", "cover crop", "Biological nitrogen fixation", "15. Life on land", "Soil carbon", "Vicia villosa L."], "contacts": [{"organization": "Blesh, Jennifer", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.70q4744"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.70q4744", "name": "item", "description": "10.5061/dryad.70q4744", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.70q4744"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-07-16T00:00:00Z"}}, {"id": "10.5061/dryad.6m905qg4x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:10Z", "type": "Dataset", "title": "Inconsistent responses of carabid beetles and spiders to land-use intensity and landscape complexity in Northwestern Europe", "description": "Open AccessWe used data on natural enemy communities in 66 paired winter  wheat fields in four Northwestern European countries (Germany, the  Netherlands, Sweden and United Kingdom) to investigate the response of  natural enemy communities to landscape complexity, local land-use  intensity and soil organic matter content, and specifically examined  whether and how responses differ between dominant and non-dominant  species. We focused on carabid beetles and spiders as they represent the  two groups of natural enemies in arable fields in Northwestern European  and widely used as bioindicators (Lang et al., 1999; Borchard et al.,  2014). We used pitfall traps to collect carabids and spiders in field  pairs that covered a gradient in land-use intensity and landscape  complexity, with fields within pairs having contrasting soil organic  carbon content.\u00a0 Pitfall traps (polypropylene beakers  155 mm high and 95 mm across) were used to survey ground-dwelling  arthropods during the wheat flowering season (late May to early June). We  placed one pitfall trap in the center of each treatment subplot at least  10 m from the field edge and filled it with 200 mL of a mixed solution of  2/3 water and 1/3 glycol and a drop of detergent to lower surface tension.  A square aluminum plate was placed approximately 10 cm above each pitfall  trap to prevent flooding by rain. Pitfall traps were opened for 10 days.  All of the collected arthropods were stored in 70% ethanol solution for  later identification. For the purpose of our study, the two most abundant  species groups, carabid beetles (<em>Carabidae</em>) and adult  spiders (<em>Araneae</em>), were selected as our bioindicators  and they were counted and identified to species level using standard keys  (Hackston, 2020; Nentwig et al., 2021). We determined the diet preference  of each carabid beetle species based on Larochelle (1990) and the hunting  strategy of all observed spider species based on Cardoso et al. (2011)  following Gall\u00e9 et al. (2019). Furthermore, because the arthropod  communities will inevitably differ in composition between countries, we  classified the carabids or spiders as <em>nationally</em>  dominant and non-dominant species based on whether species made up  respectively more or less than 5% of the total number of individuals  caught of each species group in a country following Kleijn et al.  (2015).", "keywords": ["2. Zero hunger", "soil organic carbon", "ecological intensification", "Earth and related environmental sciences", "pest control service", "evenness", "dominant species", "14. Life underwater", "FOS: Earth and related environmental sciences", "15. Life on land", "natural enemies"], "contacts": [{"organization": "Mei, Zulin, Scheper, Jeroen, Bommarco, Riccardo, de Groot, Gerard Arjen, Garratt, Michael P. D., Hedlund, Katarina, Potts, Simon G., Redlich, Sarah, Smith, Henrik G., Steffan-Dewenter, Ingolf, van der Putten, Wim H., van Gils, Stijn, Kleijn, David,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.6m905qg4x"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.6m905qg4x", "name": "item", "description": "10.5061/dryad.6m905qg4x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.6m905qg4x"}, {"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": "10.5061/dryad.8071s", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:10Z", "type": "Dataset", "title": "Data from: Soil organic matter quantity and quality shape microbial community compositions of subtropical broadleaved forests", "description": "unspecifiedAs two major forest types in the subtropics, broadleaved evergreen and  broadleaved deciduous forests have long interested ecologists. However,  little is known about their belowground ecosystems despite their  ecological importance in driving biogeochemical cycling. Here, we used  Illumina MiSeq sequencing targeting 16S rRNA gene and a microarray named  GeoChip targeting functional genes to analyse microbial communities in  broadleaved evergreen and deciduous forest soils of Shennongjia Mountain  of Central China, a region known as \u2018The Oriental Botanic Garden\u2019 for its  extraordinarily rich biodiversity. We observed higher plant diversity and  relatively richer nutrients in the broadleaved evergreen forest than the  deciduous forest. In odds to our expectation that plant communities shaped  soil microbial communities, we found that soil organic matter quantity and  quality, but not plant community parameters, were the best predictors of  microbial communities. Actinobacteria, a copiotrophic phylum, was more  abundant in the broadleaved evergreen forest, while Verrucomicrobia, an  oligotrophic phylum, was more abundant in the broadleaved deciduous  forest. The density of the correlation network of microbial OTUs was  higher in the broadleaved deciduous forest but its modularity was smaller,  reflecting lower resistance to environment changes. In addition, keystone  OTUs of the broadleaved deciduous forest were mainly oligotrophic.  Microbial functional genes associated with recalcitrant carbon degradation  were also more abundant in the broadleaved deciduous forests, resulting in  low accumulation of organic matters. Collectively, these findings revealed  the important role of soil organic matter in shaping microbial taxonomic  and functional traits.", "keywords": ["2. Zero hunger", "Holocene", "Microbial community", "Uncultured bacteria", "Species interactions", "15. Life on land"], "contacts": [{"organization": "Ding, Junjun, Zhang, Yuguang, Wang, Mengmeng, Sun, Xin, Cong, Jing, Deng, Ye, Lu, Hui, Yuan, Tong, Van Nostrand, Joy D., Li, Diqiang, Zhou, Jizhong, Yang, Yunfeng,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.8071s"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.8071s", "name": "item", "description": "10.5061/dryad.8071s", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.8071s"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-09-10T00:00:00Z"}}, {"id": "10.5061/dryad.8812m", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:11Z", "type": "Dataset", "title": "Data from: Soil trace gas fluxes along orthogonal precipitation and soil fertility gradients in tropical lowland forests of Panama", "description": "unspecifiedTropical lowland forest soils are significant sources and sinks of trace  gases. In order to model soil trace gas flux for future climate scenarios,  it is necessary to be able to predict changes in soil trace gas fluxes  along natural gradients of soil fertility and climatic characteristics. We  quantified trace gas fluxes in lowland forest soils at five locations in  Panama, which encompassed orthogonal precipitation and soil fertility  gradients. Soil trace gas fluxes were measured monthly for 1 (NO) or 2  (CO2, CH4, N2O) years (2010\u20132012) using vented dynamic (for NO only) or  static chambers with permanent bases. Across the five sites, annual fluxes  ranged from 8.0 to 10.2\u202fMg CO2-C, \u22122.0 to \u22120.3\u202fkg CH4-C, 0.4 to 1.3\u202fkg  N2O-N and \u22120.82 to \u22120.03\u202fkg NO-N\u202fha\u22121\u202fyr\u22121. Soil CO2 emissions did not  differ across sites, but they did exhibit clear seasonal differences and a  parabolic pattern with soil moisture across sites. All sites were CH4  sinks; within-site fluxes were largely controlled by soil moisture,  whereas fluxes across sites were positively correlated with an integrated  index of soil fertility. Soil N2O fluxes were low throughout the  measurement years, but the highest emissions occurred at a  mid-precipitation site with high soil N availability. Net negative NO  fluxes at the soil surface occurred at all sites, with the most negative  fluxes at the low-precipitation site closest to Panama City; this was  likely due to high ambient NO concentrations from anthropogenic sources.  Our study highlights the importance of both short-term (climatic) and  long-term (soil and site characteristics) factors in predicting soil trace  gas fluxes.", "keywords": ["2. Zero hunger", "Greenhouse gases", "Carbon dioxide", "nitrous oxide", "13. Climate action", "Nitric oxide", "Soil characteristics", "15. Life on land", "Methane"], "contacts": [{"organization": "Matson, Amanda L., Corre, Marife D., Langs, Kerstin, Veldkamp, Edzo,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.8812m"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.8812m", "name": "item", "description": "10.5061/dryad.8812m", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.8812m"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-07-19T00:00:00Z"}}, {"id": "10.5061/dryad.8hm07", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:11Z", "type": "Dataset", "title": "Data from: Biochar from \"Kon Tiki\" flame curtain and other kilns: effects of nutrient enrichment and kiln type on crop yield and soil chemistry", "description": "unspecifiedBiochar application to soils has been investigated as a means of improving  soil fertility and mitigating climate change through soil carbon  sequestration. In the present work, the invasive shrub 'Eupatorium  adenophorum' was utilized as a sustainable feedstock for making  biochar under different pyrolysis conditions in Nepal. Biochar was  produced using several different types of kilns; four sub types of flame  curtain kilns (deep-cone metal kiln, steel shielded soil pit, conical soil  pit and steel small cone), brick-made traditional kiln, traditional  earth-mound kiln and top lift up draft (TLUD). The resultant biochars  showed consistent pH (9.1 \u00b1 0.3), cation exchange capacities (133 \u00b1 37  cmolc kg-1), organic carbon contents (73.9 \u00b1 6.4 %) and surface areas (35  to 215 m2/g) for all kiln types. A pot trial with maize was carried out to  investigate the effect on maize biomass production of the biochars made  with various kilns, applied at 1% and 4% dosages. Biochars were either  pretreated with hot or cold mineral nutrient enrichment (mixing with a  nutrient solution before or after cooling down, respectively), or added  separately from the same nutrient dosages to the soil. Significantly  higher CEC (P&lt; 0.05), lower Al/Ca ratios (P&lt; 0.05), and high  OC% (P&lt;0.001) were observed for both dosages of biochar as compared  to non-amended control soils. Importantly, the study showed that biochar  made by flame curtain kilns resulted in the same agronomic effect as  biochar made by the other kilns (P &gt; 0.05). At a dosage of 1%  biochar, the hot nutrient-enriched biochar led to significant increases of  153% in above ground biomass production compared to cold nutrient-enriched  biochar and 209% compared to biochar added separately from the nutrients.  Liquid nutrient enhancement of biochar thus improved fertilizer  effectiveness compared to separate application of biochar and fertilizer.", "keywords": ["2. Zero hunger", "13. Climate action", "kiln technology", "soil fertility", "biochar", "15. Life on land", "7. Clean energy", "6. Clean water", "flame curtain"], "contacts": [{"organization": "Pandit, Naba Raj, Mulder, Jan, Hale, Sarah Elisabeth, Schmidt, Hans Peter, Cornelissen, Gerard,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.8hm07"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.8hm07", "name": "item", "description": "10.5061/dryad.8hm07", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.8hm07"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-08-03T00:00:00Z"}}, {"id": "10.5061/dryad.8sf7m0cpx", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-04-03T16:23:11Z", "type": "Dataset", "title": "Phosphorus availability and leaching losses in annual and perennial cropping systems in an upper US Midwest landscape", "description": "unspecified<strong>Experimental  details</strong> The Biofuel Cropping System  Experiment (BCSE) is located at the W.K. Kellogg Biological Station (KBS)  (42.3956\u00b0 N, 85.3749\u00b0 W; elevation 288\u00a0m asl) in southwestern Michigan,  USA. This site is a part of the Great Lakes Bioenergy Research Center  (www.glbrc.org)  and is a Long-term Ecological Research site (www.lter.kbs.msu.edu). Soils are mesic Typic Hapludalfs developed on glacial outwash<sup>54</sup> with high sand content (76% in the upper 150\u00a0cm) intermixed with silt-rich loess in the upper 50\u00a0cm<sup>55</sup>. The water table lies approximately 12\u201314\u00a0m below the surface. The climate is humid temperate with a mean annual air temperature of 9.1\u00a0\u00b0C and annual precipitation of 1005\u00a0mm, 511\u00a0mm of which falls between May and September (1981<b>\u2013</b>2010)<sup>56,57</sup>. The BCSE was established as a randomized complete block design in 2008 on preexisting farmland. Prior to BCSE establishment, the field was used for grain crop and alfalfa (<i>Medicago sativa</i> L.) production for several decades. Between 2003 and 2007, the field received a total of\u2009~\u2009300\u00a0kg\u00a0P\u00a0ha<sup>\u22121</sup> as manure, and the southern half, which contains one of four replicate plots, received an additional 206\u00a0kg\u00a0P\u00a0ha<sup>\u22121</sup> as inorganic fertilizer. The experimental design consists of five randomized blocks each containing one replicate plot (28 by 40\u00a0m) of 10 cropping systems (treatments) (Supplementary Fig. S1; also see Sanford et al.<sup>58</sup>). Block 5 is not included in the present study. Details on experimental design and site history are provided in Robertson and Hamilton<sup>57</sup> and Gelfand et al.<sup>59</sup>. Leaching of P is analyzed in six of the cropping systems: (i) continuous no-till corn, (ii) switchgrass, (iii) miscanthus, (iv) a mixture of five species of native grasses, (v) a restored native prairie containing 18 plant species (Supplementary Table S1), and (vi) hybrid poplar. <strong>Agronomic management</strong> Phenological cameras and field observations indicated that the perennial herbaceous crops emerged each year between mid-April and mid-May. Corn was planted each year in early May. Herbaceous crops were harvested at the end of each growing season with the timing depending on weather: between October and November for corn and between November and December for herbaceous perennial crops. Corn stover was harvested shortly after corn grain, leaving approximately 10\u00a0cm height of stubble above the ground. The poplar was harvested only once, as the culmination of a 6-year rotation, in the winter of 2013\u20132014. Leaf emergence and senescence based on daily phenological images indicated the beginning and end of the poplar growing season, respectively, in each year. Application of inorganic fertilizers to the different crops followed a management approach typical for the region (Table 1). Corn was fertilized with 13\u00a0kg\u00a0P\u00a0ha<sup>\u22121</sup>\u00a0year<sup>\u22121</sup> as starter fertilizer (N-P-K of 19-17-0) at the time of planting and an additional 33\u00a0kg\u00a0P\u00a0ha<sup>\u22121</sup>\u00a0year<sup>\u22121</sup> was added as superphosphate in spring 2015. Corn also received N fertilizer around the time of planting and in mid-June at typical rates for the region (Table 1). No P fertilizer was applied to the perennial grassland or poplar systems (Table 1). All perennial grasses (except restored prairie) were provided 56\u00a0kg\u00a0N\u00a0ha<sup>\u22121</sup>\u00a0year<sup>\u22121</sup> of N fertilizer in early summer between 2010 and 2016; an additional 77\u00a0kg\u00a0N\u00a0ha<sup>\u22121</sup> was applied to miscanthus in 2009. Poplar was fertilized once with 157\u00a0kg\u00a0N\u00a0ha<sup>\u22121</sup> in 2010 after the canopy had closed. <strong>Sampling of subsurface soil water and soil for P determination</strong> Subsurface soil water samples were collected beneath the root zone (1.2\u00a0m depth) using samplers installed at approximately 20\u00a0cm into the unconsolidated sand of 2Bt2 and 2E/Bt horizons (soils at the site are described in Crum and Collins<sup>54</sup>). Soil water was collected from two kinds of samplers: Prenart samplers constructed of Teflon and silica (http://www.prenart.dk/soil-water-samplers/) in replicate blocks 1 and 2 and Eijkelkamp ceramic samplers (http://www.eijkelkamp.com) in blocks 3 and 4 (Supplementary Fig. S1). The samplers were installed in 2008 at an angle using a hydraulic corer, with the sampling tubes buried underground within the plots and the sampler located about 9\u00a0m from the plot edge. There were no consistent differences in TDP concentrations between the two sampler types. Beginning in the 2009 growing season, subsurface soil water was sampled at weekly to biweekly intervals during non-frozen periods (April\u2013November) by applying 50\u00a0kPa of vacuum to each sampler for 24\u00a0h, during which the extracted water was collected in glass bottles. Samples were filtered using different filter types (all 0.45\u00a0\u00b5m pore size) depending on the volume of leachate collected: 33-mm dia. cellulose acetate membrane filters when volumes were less than 50\u00a0mL; and 47-mm dia. Supor 450 polyethersulfone membrane filters for larger volumes. Total dissolved phosphorus (TDP) in water samples was analyzed by persulfate digestion of filtered samples to convert all phosphorus forms to soluble reactive phosphorus, followed by colorimetric analysis by long-pathlength spectrophotometry (UV-1800 Shimadzu, Japan) using the molybdate blue method<sup>60</sup>, for which the method detection limit was\u2009~\u20090.005\u00a0mg\u00a0P\u00a0L<sup>\u22121</sup>. Between 2009 and 2016, soil samples (0\u201325\u00a0cm depth) were collected each autumn from all plots for determination of soil test P (STP) by the Bray-1 method<sup>61</sup>, using as an extractant a dilute hydrochloric acid and ammonium fluoride solution, as is recommended for neutral to slightly acidic soils. The measured STP concentration in mg\u00a0P\u00a0kg<sup>\u22121</sup> was converted to kg\u00a0P\u00a0ha<sup>\u22121</sup> based on soil sampling depth and soil bulk density (mean, 1.5\u00a0g\u00a0cm<sup>\u22123</sup>). <strong>Sampling of water samples from lakes, streams and wells for P determination</strong> In addition to chemistry of soil and subsurface soil water in the BCSE, waters from lakes, streams, and residential water supply wells were also sampled during 2009\u20132016 for TDP analysis using Supor 450 membrane filters and the same analytical method as for soil water. These water bodies are within 15\u00a0km of the study site, within a landscape mosaic of row crops, grasslands, deciduous forest, and wetlands, with some residential development (Supplementary Fig. S2, Supplementary Table S2). Details of land use and cover change in the vicinity of KBS are given in Hamilton et al.<sup>48</sup>, and patterns in nutrient concentrations in local surface waters are further discussed in Hamilton<sup>62</sup>. <strong>Leaching estimates, modeled drainage, and data analysis</strong> Leaching was estimated at daily time steps and summarized as total leaching on a crop-year basis, defined from the date of planting or leaf emergence in a given year to the day prior to planting or emergence in the following year. TDP concentrations (mg\u00a0L<sup>\u22121</sup>) of subsurface soil water were linearly interpolated between sampling dates during non-freezing periods (April\u2013November) and over non-sampling periods (December\u2013March) based on the preceding November and subsequent April samples. Daily rates of TDP leaching (kg\u00a0ha<sup>\u22121</sup>) were calculated by multiplying concentration (mg\u00a0L<sup>\u22121</sup>) by drainage rates (m<sup>3</sup>\u00a0ha<sup>\u22121</sup>\u00a0day<sup>\u22121</sup>) modeled by the Systems Approach for Land Use Sustainability (SALUS) model, a crop growth model that is well calibrated for KBS soil and environmental conditions. SALUS simulates yield and environmental outcomes in response to weather, soil, management (planting dates, plant population, irrigation, N fertilizer application, and tillage), and genetics<sup>63</sup>. The SALUS water balance sub-model simulates surface runoff, saturated and unsaturated water flow, drainage, root water uptake, and evapotranspiration during growing and non-growing seasons<sup>63</sup>. The SALUS model has been used in studies of evapotranspiration<sup>48,51,64</sup> and nutrient leaching<sup>20,65,66,67</sup> from KBS soils, and its predictions of growing-season evapotranspiration are consistent with independent measurements based on growing-season soil water drawdown<sup>53</sup> and evapotranspiration measured by eddy covariance<sup>68</sup>. Phosphorus leaching was assumed insignificant on days when SALUS predicted no drainage. Volume-weighted mean TDP concentrations in leachate for each crop-year and for the entire 7-year study period were calculated as the total dissolved P leaching flux (kg\u00a0ha<sup>\u22121</sup>) divided by the total drainage (m<sup>3</sup>\u00a0ha<sup>\u22121</sup>). One-way ANOVA with time (crop-year) as the fixed factor was conducted to compare total annual drainage rates, P leaching rates, volume-weighted mean TDP concentrations, and maximum aboveground biomass among the cropping systems over all seven crop-years as well as with TDP concentrations from local lakes, streams, and groundwater wells. When a significant (\u03b1\u2009=\u20090.05) difference was detected among the groups, we used the Tukey honest significant difference (HSD) post-hoc test to make pairwise comparisons among the groups. In the case of maximum aboveground biomass, we used the Tukey\u2013Kramer method to make pairwise comparisons among the groups because the absence of poplar data after the 2013 harvest resulted in unequal sample sizes. We also used the Tukey\u2013Kramer method to compare the frequency distributions of TDP concentrations in all of the soil leachate samples with concentrations in lakes, streams, and groundwater wells, since each sample category had very different numbers of measurements.", "keywords": ["2. Zero hunger", "15. Life on land", "7. Clean energy", "6. Clean water"], "contacts": [{"organization": "Hussain, Mir Zaman, Hamilton, Stephen, Robertson, G. Philip, Basso, Bruno,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.8sf7m0cpx"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.8sf7m0cpx", "name": "item", "description": "10.5061/dryad.8sf7m0cpx", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.8sf7m0cpx"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-08T00:00:00Z"}}, {"id": "10.5061/dryad.8gtht76tg", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:11Z", "type": "Dataset", "title": "Data for: Ant nests increase litter decomposition to mitigate the negative effect of warming in an alpine grassland ecosystem", "description": "Warming can decrease feeding activity of soil organisms and affect  biogeochemical cycles in alpine ecosystems. Ants (Formica manchu) are  active on their nest surface, and prefer a hot and dry environment.  Therefore, warming may provide a favorable environment for their activity.  We hypothesized that ants might benefit from warming and increase the  robustness of ecosystem functions to warming. To test this hypothesis, we  examined the effects of ant nests (ant nest absence vs. ant nest presence)  and warming (ambient temperature, + 1.3\u00b0C and + 2.3\u00b0C) on litter  decomposition, soil properties and the plant community in an alpine  grassland ecosystem. Decomposition stations with two mesh sizes were used  to differentiate effects of microorganisms (0.05mm) and macroinvertebrate  (1cm) to litter decomposition. Ant nests increased litter decomposition  with and without macroinvertebrates accessing the decomposition station  when compared to plots without ant nests. Only the litter decomposition in  ant nests with macroinvertebrates accessing the decomposition station was  not negatively affected by warming. Plots with ant nests had greater soil  organic carbon, nutrient contents and plant growth than plots without ant  nests, regardless of warming. Consequently, ant nests can mitigate the  negative effects of warming on litter decomposition and improve ecosystem  functions under warming.", "keywords": ["ant nest", "13. Climate action", "FOS: Biological sciences", "ecosystem function", "Climate change", "ecological engineer", "ant-plant interaction", "nutrient cycling", "15. Life on land"], "contacts": [{"organization": "Luo, Binyu, Huang, Mei, Wang, Wenyin, Niu, Jiahuan, Shrestha, Mani, Zeng, Haijun, Ma, Lin, Degen, Allan, Liao, Jingkang, Zhang, Tao, Bai, Yanfu, Zhao, Jingxue, Fraser, Lauchlan, Shang, Zhanhuan,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.8gtht76tg"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.8gtht76tg", "name": "item", "description": "10.5061/dryad.8gtht76tg", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.8gtht76tg"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-04-28T00:00:00Z"}}, {"id": "10.5061/dryad.931zcrjtp", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:11Z", "type": "Dataset", "created": "2024-06-03", "title": "Carbon sequestration in intact rare ecosystems and their encroaching forests (Michigan, USA)", "description": "unspecifiedRising atmospheric carbon dioxide levels are impacting global  temperatures, ecological systems, and human societies. Natural carbon  sequestration through the conservation of soil and native ecosystems may  slow or reduce the amount of CO2 in the atmosphere, and thus slow or  mitigate the rate of global warming. Most of the research investigating  carbon sequestration in natural systems occurs in forested ecosystems,  however rare ecosystems such as coastal plain marshes and wet-mesic sand  prairie collectively may serve as significant carbon sinks. Our objectives  were to measure and assess the importance of carbon sequestration in three  rare ecosystems (oak-pine barrens, coastal plain marsh, and wet-mesic sand  prairie) in western Lower Michigan. We measured carbon in standing  vegetation, dead organic matter, and soils within each ecosystem and  adjacent encroaching forested areas. Driven by tree carbon, total carbon  stocks in encroaching areas were greater than in intact rare ecosystems.  Soil organic carbon was greater in all intact ecosystems, though only  significantly so in coastal plain marsh.\u00a0 Principal components  analysis explained 72% of the variation and revealed differences between  intact ecosystems and their encroaching areas. Linear models using the  ratio of red to green light reflectance successfully predicted SOC in  intact coastal plain marsh and wet-mesic sand prairie. Our results infer  the importance of these rare ecosystems in sequestering carbon in soils  and support the need to establish federal or state management practices  for the conservation of these systems.", "keywords": ["Carbon sequestration", "rare ecosystems", "coastal plain marsh", "Climate change", "oak-pine barrens", "FOS: Natural sciences", "wet-mesic sand prairie"], "contacts": [{"organization": "Woller-Skar, Meg, Locher, Alexandra, Audia, Ellen,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.931zcrjtp"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.931zcrjtp", "name": "item", "description": "10.5061/dryad.931zcrjtp", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.931zcrjtp"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-06-17T00:00:00Z"}}, {"id": "10.5194/egusphere-2024-434", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:30Z", "type": "Journal Article", "created": "2024-02-27", "title": "Characterization of the particle size distribution, mineralogy and Fe mode of occurrence of dust-emitting sediments across the Mojave Desert, California, USA", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Understanding the effect of dust upon climate and ecosystems needs comprehensive analyses of the physiochemical properties of dust-emitting sediments in arid regions. Here, we analyse a diverse set of crusts and aeolian ripples (n=55) from various dust-hotspots within the Mojave Desert, California, USA, with focus on their particle size distribution (PSD), mineralogy, aggregation/cohesion state and iron mode of occurrence characterization. Our results showed differences in fully and minimally dispersed PSDs, with crusts average median diameters (92 and 37 \u00b5m, respectively) compared to aeolian ripples (226 and 213 \u00b5m, respectively). Mineralogical analyses unveiled variations between crusts and ripples, with crusts enriched in phyllosilicates (24 vs 7.8 %), carbonates (6.6 vs 1.1 %), Na-salts (7.3 vs 1.1 %) and zeolites (1.2 and 0.12 %), while ripples enriched in feldspars (48 vs 37 %), quartz (32 vs 16 %), and gypsum (4.7 vs 3.1 %). Bulk Fe content analyses indicate higher concentrations in crusts (3.0\u00b11.3 wt %) compared to ripples (1.9\u00b11.1 wt %), with similar Fe speciation proportions; nano Fe-oxides/readily exchangeable Fe represent ~1.6 %, hematite/goethite ~15 %, magnetite/maghemite ~2.0 % and structural Fe in silicates ~80 % of the total Fe. We identified segregation patterns in PSD and mineralogy differences within the Mojave basins, influenced by sediment transportation dynamics and precipitates due to groundwater table fluctuations. Mojave Desert crusts show similarities with previously sampled crusts in the Moroccan Sahara for PSD and readily exchangeable Fe, yet exhibit differences in mineralogical composition, which could influence the emitted dust particles characteristics.                         </p></article>", "keywords": ["Take urgent action to combat climate change and its impacts", "info:eu-repo/classification/ddc/550", "550", "ddc:550", "Physics", "QC1-999", "Climate", "Iron", "Dust", "Particle size", "Size distribution", "15. Life on land", "Mineralogy", "Mojave Desert", "Dust models", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Enginyeria ambiental", "Earth sciences", "Chemistry", "Physicochemical property", "13. Climate action", "Sediment", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria qu\u00edmica::Qu\u00edmica del medi ambient", "QD1-999", "Ensure healthy lives and promote well-being for all at all ages"]}, "links": [{"href": "https://acp.copernicus.org/articles/24/9155/2024/acp-24-9155-2024.pdf"}, {"href": "https://doi.org/10.5194/egusphere-2024-434"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/egusphere-2024-434", "name": "item", "description": "10.5194/egusphere-2024-434", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/egusphere-2024-434"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-02-27T00:00:00Z"}}, {"id": "10.5061/dryad.9r4v1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:12Z", "type": "Dataset", "title": "Data from: Exposure to dairy manure leads to greater antibiotic resistance and increased mass-specific respiration in soil microbial communities", "description": "unspecifiedEdaphic and microbial  data from paired manure-exposed and reference soils across the United  StatesThis is an excel file  containing edaphic and microbial data describing soils from dairy  operations across the United States. Sites are organized by state postal  code, with a numerical qualifier for the instance of multiple field sites  within Georgia. Relevant abbreviations: SIR, substrate induced  respiration; C-min, carbon mineralization; qCO2, microbial metabolic  quotient; DOC, dissolved organic carbon; POM, particulate organic  matter.Wepking et al.  2017.xlsx", "keywords": ["2. Zero hunger", "Soil ecology", "Anthropocene", "15. Life on land", "Agroecology"], "contacts": [{"organization": "Wepking, Carl, Avera, Bethany, Badgley, Brian, Barrett, John E., Franklin, Josh, Knowlton, Katharine F., Ray, Partha P., Smitherman, Crystal, Strickland, Michael S.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.9r4v1"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.9r4v1", "name": "item", "description": "10.5061/dryad.9r4v1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.9r4v1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-02-28T00:00:00Z"}}, {"id": "10.5061/dryad.b4s71jj", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:12Z", "type": "Dataset", "title": "Data from: Litter carbon and nutrient chemistry control the magnitude of soil priming effect", "description": "unspecifiedLitter  Chem_characteristicsThis Excel document  includes the raw data for analysed in the manuscript including leaf litter  C leachates, lignin, cellulose, hemicellulose, tannin, C, N, P, Ca, K, Mg,  Mn concentrations and Lignin:N, and litter decomposition rates and soil  priming effect.Litter Chem\uff0cDeco &amp;  PE.xls", "keywords": ["13C natural abundance", "soil organic carbon", "carbon mineralization", "soil priming effect", "litter chemistry", "15. Life on land", "C4 soil"], "contacts": [{"organization": "Chao, Lin, Liu, Yanyan, Freschet, Gr\u00e9goire, Zhang, Weidong, Yu, Xin, Zheng, Wenhui, Guan, Xin, Yang, Qingpeng, Chen, Longchi, Dijkstra, Feike, wang, Silong, Dijkstra, Feike A.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.b4s71jj"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.b4s71jj", "name": "item", "description": "10.5061/dryad.b4s71jj", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.b4s71jj"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-09T00:00:00Z"}}, {"id": "10.5061/dryad.b8gtht7kg", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:12Z", "type": "Dataset", "created": "2023-11-27", "title": "Data from: The effect of drainage on the fine root biomass, production, and turnover in hemiboreal old-growth forests on organic soils", "description": "Open Access# The effect of drainage on the fine root biomass, production, and  turnover in hemiboreal old-growth forests on organic soils  ## #GWL _temp.csv This  file contains data on study site soil temperature and groundwater level ##  Description of the data and file structure Date - Sampling date Site -  Study object name FT - Forest type (ND - not drained, KS - drained) Year -  Sampling year Cycle - Sampling campaign number in specific sampling year  PL - Sample plot of study object (1-3) Groundwater - Groundwater level  depth from the ground surface, cm Soil_temp_10cm - Soil temperature at  10cm depth, \u00b0C Soil_temp_20cm - Soil temperature at 20cm depth, \u00b0C  Soil_temp_30cm - Soil temperature at 30cm depth, \u00b0C Soil_temp_40cm - Soil  temperature at 40cm depth, \u00b0C --- ## #Soil _data.csv This file contains  data of study site soil analysis ## Description of the data and file  structure Year - Sampling year Date - Sampling date Place - Study objects  name FT - Forest type (ND - not drained, KS - drained) Soil_cm - Soil  sampling depth Repetition - Number of repetitions (1-2) Soil_density -  Soil bulk density, g/kg C_g_kg - Carbon content in sample, g/kg N_g_kg -  Nitrogen content in sample, g/kg C_N - Carbon and Nitrogen ratio in sample  pHKCl - Soil pH Pkop_g_kg - Total Phosphorus content in sample, g/kg  K_mg_kg - Total Potassium content in sample, g/kg Ca_mg_kg - Total Calcium  content in sample, g/kg Mg_mg_kg - Total Magnesium content in sample, g/kg  --- ## #FRP _data.csv This file contains data of study site fine-root  biomass, stand taxation indices and soil analysis per study object sample  plot and fine-root fraction ## Description of the data and file structure  ID - Study site ID Place - Study object name FT - Forest type (ND - not  drained, KS - drained) Cycle - Sampling campaign number in specific  sampling year PL - Sampling plot number Fraction - Fine-root fraction by  name FRB - Fine-root biomass, t/ha FRB_BA - Fine-root biomass per basal  area Pine_yield - Pine tree growing stock, m3/ha N_ha - Tree count per ha  Spruce_yield - Spruce tree growing stock, m3/ha Shrub_percentage -  Percentage of shrubs in ground vegetation Herb_percentage - Percentage of  herbacous plants in ground vegetation D - Diameter at breast height, cm  G_m2ha - basal area, m2/ha CN - soil C and N ratio pHKCl - soil pH CgKg -  Soil Carbon (C) content, g/kg NgKg - Soil Nitrogen (N) content, g/kg ---  ## #Mean _FRB _pa _frakcijam.csv This file contains data of study site  average fine-root biomass per study object sample plot and fine-root  fraction ## Description of the data and file structure ID - Study site ID  Object - Study object name FT - Forest type (ND - not drained, KS -  drained) PL - Sampling campaign number in specific sampling year Fraction  - Fine-root fraction by name AvgFRB - Average fine-root biomass, t/ha  FRB_BA - Average fine-root biomass per basal area Sd - Standarddeviation  of average fine-root biomass n - sampling campaign count se -  Standarderror of average fine-root biomass Basal_Area - basal area, m2/ha  --- ## #PCA _analize.csv This file contains data of study site for PCA  analysis containing fine-root biomass, production and turnover, taxation  indices and soil data per sample plot ## Description of the data and file  structure ID - Study site ID Site - Study object name FT - Forest type (ND  - not drained, KS - drained) Plot - - Sampling plot number SP_FRB - Scots  pine fine-root biomass, t/ha SP_FRP - Scots pine fine-root production,  t/ha/yr SP_T - Scots pine fine-root turnover, t/yr PineFRB_BA - Scots pine  fine-root biomass per stand basal area, t/m2 NS_FRB - Norway spruce  fine-root biomass, t/ha NS_FRP - Norway spruce fine-root production,  t/ha/yr NS_T - Norway spruce fine-root turnover, t/yr SpurceFRB_BA -  Norway spruce fine-root biomass per stand basal area, t/m2 H_FRB - Herb  fine-root biomass, t/ha DS_FRB - Dwarf shrub fine-root biomass, t/ha  DS_FRP - Dwarf shub fine-root production, t/ha/yr TOT_FRP - Total  fine-root production, t/ha/yr SP_dFRB - Scots pine fine-root necromass,  t/ha NS_dFRB - Norway spruce fine-root necromass, t/ha C_g_kg - Soil  Carbon content, g/kg N_g_kg - Soil Nitrogen content, g/kg C_N - Carbon and  Nitrogen ratio in sample pHKCl - Soil pH Pkop - Total soil Phosphorous  content, g/kg Aug_bl - Soil bulk density, g/kg Dg - Diameter at breast  height, cm Hg - Tree height, m G - basal area, m2/ha Yield_1st - First  layer tree growing stock, m3/ha N_ha - Tree count per ha SP_m3ha - Pine  tree growing stock, m3/ha NS_m3ha - Spruce tree growing stock, m3/ha DS_m2  - Dwarf shrub coverage, m2 H_m2 - Herbacous plant coverage, m2 --- ##  #R _frb.csv This file contains raw data of fine-root samples per site,  sample plot, fraction and sampling depth ## Description of the data and  file structure Place - Study objects name ID - Sample ID CM - Sampling  depth, cm Fraction - Fine-root fraction ID Species - Fine-root fraction by  name Status - Fine-root status (living/dead) Weight_g - Sample weight FT -  Forest type (ND - not drained, KS - drained) FRB - Fine-root biomass, t/ja  Cycle - Sampling campaign number ID_cycle - Sample ID per sampling cycle  PL - Sampling plot number Place_pl_cm_cycle - ID containing study object  name, forest type, sampling depth and sampling cycle ## Sharing/Access  information Correspondence: Valters Samariks, Latvian State Forest  Research Institute 'Silava', Latvia, Salaspils, R\u012bgas street  111, LV-2169, Email: ; ORCID:  0000-0001-9953-0455 ## Code Code for this data file is available in  Fine_root_calculations_DRYAD.R", "keywords": ["hemiboreal", "Fine-root production", "forest drainage", "Peat", "fine-root turnover", "FOS: Agriculture", " forestry", " and fisheries"], "contacts": [{"organization": "Samariks, Valters", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.b8gtht7kg"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.b8gtht7kg", "name": "item", "description": "10.5061/dryad.b8gtht7kg", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.b8gtht7kg"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-02-20T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Ne&offset=4850&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=Ne&offset=4850&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=Ne&offset=4800", "hreflang": "en-US"}, {"rel": "next", "type": "application/geo+json", "title": "items (next)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Ne&offset=4900", "hreflang": "en-US"}], "numberMatched": 11182, "numberReturned": 50, "distributedFeatures": [], "timeStamp": "2026-04-04T11:00:04.378685Z"}