{"type": "FeatureCollection", "features": [{"id": "10.60692/g4rcv-eqz54", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:18Z", "type": "Journal Article", "created": "2019-04-23", "title": "An evapotranspiration model self-calibrated from remotely sensed surface soil moisture, land surface temperature and vegetation cover fraction: application to disaggregated SMOS and MODIS data", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Thermal-based two-source energy balance modeling is very useful for estimating the land evapotranspiration (ET) at a wide range of spatial and temporal scales. However, the land surface temperature (LST) is not sufficient for constraining simultaneously both soil and vegetation flux components in such a way that assumptions (on either the soil or the vegetation fluxes) are commonly required. To avoid such assumptions, a new energy balance model (TSEB-SM) was recently developed in Ait Hssaine et al. (2018a) to integrate the microwave-derived near-surface soil moisture (SM), in addition to the thermal-derived LST and vegetation cover fraction (fc). Whereas, TSEB-SM has been recently tested using in-situ measurements, the objective of this paper is to evaluate the performance of TSEB-SM in real-life using 1\u2009km resolution MODIS (Moderate resolution imaging spectroradiometer) LST and fc data and the 1\u2009km resolution SM data disaggregated from SMOS (Soil Moisture and Ocean Salinity) observations by using DisPATCh. The approach is applied during a four-year period (2014\u20132018) over a rainfed wheat field in the Tensift basin, central Morocco, during a four-year period (2014\u20132018). The field was seeded for the 2014\u20132015 (S1), 2016\u20132017 (S2) and 2017\u20132018 (S3) agricultural season, while it was not ploughed (remained as bare soil) during the 2015\u20132016 (B1) agricultural season. The mean retrieved values of (arss, brss) calculated for the entire study period using satellite data are (7.32, 4.58). The daily calibrated \u03b1PT ranges between 0 and 1.38 for both S1 and S2. Its temporal variability is mainly attributed to the rainfall distribution along the agricultural season. For S3, the daily retrieved \u03b1PT remains at a mostly constant value (\u223c\u20090.7) throughout the study period, because of the lack of clear sky disaggregated SM and LST observations during this season. Compared to eddy covariance measurements, TSEB driven only by LST and fc data significantly overestimates latent heat fluxes for the four seasons. The overall mean bias values are 119, 94, 128 and 181\u2009W/m2 for S1, S2, S3 and B1 respectively. In contrast, these errors are much reduced when using TSEB-SM (SM and LST combined data) with the mean bias values estimated as 39, 4, 7 and 62\u2009W/m2 for S1, S2, S3 and B1 respectively.</p></article>", "keywords": ["Technology", "Atmospheric sciences", "550", "Soil Moisture", "0208 environmental biotechnology", "02 engineering and technology", "Environmental technology. Sanitary engineering", "01 natural sciences", "Engineering", "Geography. Anthropology. Recreation", "Pathology", "GE1-350", "TD1-1066", "2. Zero hunger", "Global and Planetary Change", "Water content", "Evapotranspiration", "Geography", "Ecology", "T", "Soil Water Retention", "Moderate-resolution imaging spectroradiometer", "Hydrology (agriculture)", "Geology", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "Aerospace engineering", "Physical Sciences", "Medicine", "environment", "Vegetation (pathology)", "Latent heat", "Mechanics and Transport in Unsaturated Soils", "Land cover", "Environmental Engineering", "0207 environmental engineering", "Energy balance", "Thermal Effects on Soil", "Environmental science", "[SDU] Sciences of the Universe [physics]", "G", "Meteorology", "Civil engineering", "14. Life underwater", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "Biology", "Civil and Structural Engineering", "0105 earth and related environmental sciences", "Global Forest Drought Response and Climate Change", "FOS: Environmental engineering", "FOS: Earth and related environmental sciences", "15. Life on land", "Remote Sensing of Soil Moisture", "Environmental sciences", "Geotechnical engineering", "[SDU]Sciences of the Universe [physics]", "Satellite", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Land use", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "FOS: Civil engineering"]}, "links": [{"href": "https://hess.copernicus.org/articles/24/1781/2020/hess-24-1781-2020.pdf"}, {"href": "https://doi.org/10.60692/g4rcv-eqz54"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.60692/g4rcv-eqz54", "name": "item", "description": "10.60692/g4rcv-eqz54", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.60692/g4rcv-eqz54"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-04-23T00:00:00Z"}}, {"id": "10.60712/si-id182286.1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:19Z", "type": "Dataset", "title": "StrainInfo SI-ID 182286.1", "description": "StrainInfo dataset 182286 about a strain of Monilinia fructicola. 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Thus, we assess structural sediment connectivity via surface runoff by using a digital elevation model (2 \u00d7 2 m<sup>2</sup>) and RUSLE-based erosion estimates to compute index of connectivity (IC) and sediment delivery estimates. The variables were analyzed within and between two topographically contrasting subcatchments. We found greater spatial variability of IC within a subcatchment than between the subcatchments. The majority of field parcel areas (65%\u201397%) were structurally connected to adjacent open ditches and streams. Areas with high erosion estimates also tended to be structurally well-connected, both at the pixel (Pearson <i>r</i> = 0.58\u20130.63) and parcel scale (<i>r</i> = 0.49\u20130.67). The IC model was not highly sensitive to parameter variations. In contrast, the magnitude of sediment delivery estimates was highly sensitive to parameter variations. However, based on the high rank correlation (Spearman <i>r</i><sub><i>s</i></sub> &gt; 0.95) between computed sediment delivery estimates, the tool provided consistent information on potentially high sediment delivery areas. More empirical data and dynamic model applications could be applied to improve the accuracy of the estimates. The method provides a feasible tool to generate open data on connectivity.", "keywords": ["550", "ta1172", "rusle", "SB1-1110", "Inorganic Chemistry", "Sociology", "FOS: Chemical sciences", "FOS: Mathematics", "RUSLE", "ta218", "Connectivity", "Ecology", "connectivity index", "Plant culture", "lowlands", "FOS: Earth and related environmental sciences", "04 agricultural and veterinary sciences", "ta4111", "15. 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Contains Tables S1-S4 and Figures S1-S6, providing further information on data sources, model structures and results of sensitivity analyses.", "keywords": ["Ecology", "FOS: Biological sciences", "15. Life on land"], "contacts": [{"organization": "Burton, Victoria J., Contu, Sara, De Palma, Adriana, Hill, Samantha L. L., Albrecht, Harald, Bone, James S., Carpenter, Daniel, Corstanje, Ronald, De Smedt, Pallieter, Farrell, Mark, Ford, Helen V., Hudson, Lawrence N., Inward, Kelly, Jones, David T., Kosewska, Agnieszka, Lo-Man-Hung, Nancy F., Magura, Tibor, Mulder, Christian, Murvanidze, Maka, Newbold, Tim, Smith, Jo, Suarez, Andrew V., Suryometaram, Sasha, T\u00f3thm\u00e9r\u00e9sz, B\u00e9la, Uehara-Prado, Marcio, Vanbergen, Adam J., Verheyen, Kris, Wuyts, Karen, Scharlemann, J\u00f6rn P. W., Eggleton, Paul, Purvis, Andy,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.6084/m9.figshare.21582635.v1"}, {"rel": "self", "type": "application/geo+json", "title": "10.6084/m9.figshare.21582635.v1", "name": "item", "description": "10.6084/m9.figshare.21582635.v1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.6084/m9.figshare.21582635.v1"}, {"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": "10.6084/m9.figshare.21276675.v1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:23Z", "type": "Dataset", "created": "2024-06-07", "title": "OTU tables, Metadata, Taxonomy files", "description": "OTU tables, Taxonomy and Metadata files for <i>nifH</i> gene and 16S rRNA gene that were used in the analysis are uploaded.", "keywords": ["60504 Microbial Ecology", "FOS: Biological sciences"], "contacts": [{"organization": "Dietrich, Marlies", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.6084/m9.figshare.21276675.v1"}, {"rel": "self", "type": "application/geo+json", "title": "10.6084/m9.figshare.21276675.v1", "name": "item", "description": "10.6084/m9.figshare.21276675.v1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.6084/m9.figshare.21276675.v1"}, {"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": "10.6084/m9.figshare.24091888.v1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:23Z", "type": "Dataset", "created": "2023-09-06", "title": "What is the ecotoxicity of a given chemical for a given aquatic species? Predicting interactions between species and chemicals using recommender system techniques", "description": "Ecotoxicological safety assessment of chemicals requires toxicity data on multiple species, despite the general desire of minimizing animal testing. Predictive models, specifically machine learning (ML) methods, are one of the tools capable of solving this apparent contradiction as they allow to generalize toxicity patterns across chemicals and species. However, despite the availability of large public toxicity datasets, the data is highly sparse, complicating model development. The aim of this study is to provide insights into how ML can predict toxicity using a large but sparse dataset. We developed models to predict LC50-values, based on experimental LC50-data covering 2431 organic chemicals and 1506 aquatic species from the ECOTOX-database. Several well-known ML techniques were evaluated and a new ML model was developed, inspired by recommender systems. This new model involves a simple linear model that learns low-rank interactions between species and chemicals using factorization machines. We evaluated the predictive performances of the developed models based on two validation settings: 1) predicting unseen chemical-species pairs, and 2) predicting unseen chemicals. The results of this study show that ML models can accurately predict LC50-values in both validation settings. Moreover, we show that the novel factorization machine approach can match well-tuned, complex, ML approaches.", "keywords": ["Inorganic Chemistry", "Chemical Sciences not elsewhere classified", "Ecology", "FOS: Chemical sciences", "FOS: Biological sciences", "Information Systems not elsewhere classified", "Plant Biology", "Biochemistry", "Microbiology", "Biological Sciences not elsewhere classified", "Mathematical Sciences not elsewhere classified"], "contacts": [{"organization": "Viljanen, M., Minnema, J., Wassenaar, P.N.H., Rorije, E., Peijnenburg, W.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.6084/m9.figshare.24091888.v1"}, {"rel": "self", "type": "application/geo+json", "title": "10.6084/m9.figshare.24091888.v1", "name": "item", "description": "10.6084/m9.figshare.24091888.v1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.6084/m9.figshare.24091888.v1"}, {"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": "10261/276572", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:48Z", "type": "Journal Article", "created": "2020-07-20", "title": "Parameterization of the water stress reduction function based on soil\u2013plant water relations", "description": "Project Co-ordinators: Dr. Jose Alfonso G\u00f3mez Calero (Instituto de Agricultura Sostenible (IAS-CISC), Dr. Weifeng Xu (Fujian Agriculture and Forest University, FAFU). -- Trabajo desarrollado bajo la financiaci\u00f3n del proyecto \u201cSoil Hydrology research platform underpinning innovation to manage water scarcity in European and Chinese cropping Systems\u201d (773903), coordinado por Jos\u00e9 Alfonso G\u00f3mez Calero, investigador del Instituto de Agricultura Sostenible (IAS). Rational parameterization of the soil water stress reduction function in root water uptake model is crucial for accurate description of root water uptake and simulation of soil water dynamics in a soil\u2013plant system. In this study, we propose three improvements to a popular transpiration-based approach to parameterize the water stress reduction function in a widely used macroscopic root water uptake model. The improvements are based on the interdependent relationships between soil and plant water status and consideration of effects of (1) relative distribution of soil water to roots on transpiration; (2) differences in growth levels of plants exposed to different levels of water stresses on potential transpiration; and (3) hysteresis of water stress on parameter optimization through identifying and discarding the data involved in the recovery periods when the discrepancy between soil and plant water availability is significant. Lysimetric experiments with winter wheat planted alternatively in greenhouse soil columns and in a field were conducted to test the proposed improvements. Through minimizing the residuals between the measured and estimated actual transpiration, the optimized parameterization was used to set up the root water uptake model. Thereupon, actual transpiration and relative transpiration were estimated and soil water content distributions were simulated. The estimated actual (RMSE\u2009\u2264\u20090.09 cm day\u22121) and relative (RMSE\u2009=\u20090.06) transpiration agreed well with the measurements. The simulated soil water content distributions also matched the measured values well for both experiments (RMSE\u2009\u2264\u20090.023 cm3 cm\u22123). Omitting any of the three proposed improvements reduced the estimation accuracy of relative transpiration, as the individual contribution ratio for each improvement was between 21.2 and 51.2%. The improvements should be reasonable in providing rational parameter estimation for the water stress reduction function, from which root water uptake models can be established to accurately evaluate plant transpiration and simulate soil water flow in a soil\u2013plant system. The parameterization strategy for the water stress reduction function of root water uptake not only benefits accurate evaluation of plant transpiration under drought conditions but also contributes to further study and description regarding the apparent hysteresis of root water uptake after re-watering. This research was supported partly by the National Natural Science Foundation of China (U1706211), National Key Research and Development Plan (2016YFD0200303) and National Natural Science Foundation of China (51790532). This project has also received support from the European Union\u2019s Horizon 2020 research and innovation programme under Project SHui, grant agreement No 773903. Peer reviewed", "keywords": ["0106 biological sciences", "2. Zero hunger", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "6. Clean water"]}, "links": [{"href": "https://link.springer.com/content/pdf/10.1007/s00271-020-00689-w.pdf"}, {"href": "https://doi.org/10261/276572"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Irrigation%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/276572", "name": "item", "description": "10261/276572", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/276572"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-07-20T00:00:00Z"}}, {"id": "10261/276613", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:48Z", "type": "Journal Article", "created": "2022-05-23", "title": "Crop yield estimation and irrigation scheduling optimization using a root-weighted soil water availability based water production function", "description": "Project Co-ordinators: Dr. Jose Alfonso G\u00f3mez Calero (Instituto de Agricultura Sostenible (IAS-CISC), Dr. Weifeng Xu (Fujian Agriculture and Forest University, FAFU). -- Trabajo desarrollado bajo la financiaci\u00f3n del proyecto \u201cSoil Hydrology research platform underpinning innovation to manage water scarcity in European and Chinese cropping Systems\u201d (773903), coordinado por Jos\u00e9 Alfonso G\u00f3mez Calero, investigador del Instituto de Agricultura Sostenible (IAS). The crop-water production function (CWPF) is widely used to quantitatively describe relationships between crop water deficit and yield, and evaluate the effects of different irrigation strategies in agro-hydrological models. In order to reasonably and reliably estimate crop yield and optimize irrigation scheduling, a novel CWPF was proposed by combining the plant water deficit index (PWDI), estimated based on root-weighted soil water availability, with a daily water sensitivity index derived from a sigmoidal cumulative function. Parameterized using data from a two-year winter wheat field lysimetric experiment conducted in the North China Plain and from a previously published two-year spring maize field drip irrigation experiment in Inner Mongolia, China, the CWPFs provided reasonable estimation of different crop yields with different water stress response characteristics under different field environments. Through coupling the genetic algorithm with the integrated simulations of soil water dynamics, PWDI and CWPF in the soil-wheat system, an optimization procedure was developed to determine PWDI threshold combinations to timely trigger irrigation according to pre-designed crop water deficit status. Crop yield and water use efficiency (WUE) of winter wheat were estimated and compared under different optimized constant and variable PWDI threshold combinations. In addition, the effects of climate change on the optimized variable PWDI threshold combinations were investigated using 38 years of historic meteorological data. The results showed that regulated deficit irrigation (RDI) with a variable threshold combination, in which the sensitivity characteristics to water deficit were considered for the crop at different growth stages, was superior to a constant threshold in enhancing crop yield and WUE. Irrespective of the number of irrigation events (1, 2, 3 or 4) during the growing season, the coefficients of variation (CV) of optimized PWDI thresholds for different combinations of irrigation sequence and events were not very large under the same kind of hydrological year (wet, normal or dry), with CV < 0.39 and a median of 0.21. When the mean (MN) of the optimized PWDI threshold combinations for different irrigation sequence and events was used to schedule RDI of winter wheat in terms of various hydrological years, up to 91% of the estimated relative yield was found to be higher than 90% of the corresponding maximum values. Therefore, the MN can be valuable in formulating rational irrigation management strategies of winter wheat to achieve relatively high yields with limited water under changing climatic conditions. This research was supported partly by National Natural Science Foundation of China (U1706211, 51790532), National Key Research and Development Program of China (2017YFE0118100), and the European Union's Horizon 2020 research and innovation programme under Project SHui, grant agreement No 773903. Peer reviewed", "keywords": ["Winter wheat", "2. Zero hunger", "0106 biological sciences", "Root-weighted plant water deficit index", "13. Climate action", "Crop-water production function", "Cumulative function of water sensitivity index", "15. Life on land", "01 natural sciences", "Regulated deficit irrigation", "6. Clean water"]}, "links": [{"href": "https://doi.org/10261/276613"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Field%20Crops%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/276613", "name": "item", "description": "10261/276613", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/276613"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-08-01T00:00:00Z"}}, {"id": "10261/276620", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:48Z", "type": "Journal Article", "created": "2021-02-05", "title": "Numerically scheduling plant water deficit index-based smart irrigation to optimize crop yield and water use efficiency", "description": "Open AccessThis research was supported partly by National Key Research and Development Program of China (2016YFD0200303, 2017YFE0118100), National Natural Science Foundation of China (U1706211, 51790532), Special Fund for Scientific Research in the Public Interest (201411009), and the European Union\u2019s Horizon 2020 Research and Innovation Programme under Project SHui, grant agreement No 773903.", "keywords": ["0106 biological sciences", "2. Zero hunger", "Crop growth", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "Soil water transport", "01 natural sciences", "Irrigation scheduling", "Decision support system", "Regulated deficit irrigation", "6. Clean water"]}, "links": [{"href": "https://doi.org/10261/276620"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20Water%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/276620", "name": "item", "description": "10261/276620", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/276620"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-04-01T00:00:00Z"}}, {"id": "10261/277928", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:48Z", "type": "Journal Article", "created": "2022-03-09", "title": "Spatiotemporal normalized ratio methodology to evaluate the impact of field-scale variable rate application", "description": "Open AccessPeer reviewed", "keywords": ["2. Zero hunger", "0106 biological sciences", "Variable rate application", "Precision irrigation management", "Normalized relative comparison index", "Performance measures", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "Stem water potential", "Variability", "01 natural sciences"]}, "links": [{"href": "https://link.springer.com/content/pdf/10.1007/s11119-022-09877-4.pdf"}, {"href": "https://doi.org/10261/277928"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Precision%20Agriculture", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/277928", "name": "item", "description": "10261/277928", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/277928"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-03-09T00:00:00Z"}}, {"id": "10261/278602", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:48Z", "type": "Journal Article", "created": "2022-05-17", "title": "Effects of tillage systems on soil water distribution, crop development, and evaporation and transpiration rates of soybean", "description": "Open AccessTillage practices are known to affect soil water retention, plant available water and, consequently, crop production. Impacts can be determined by assessing soil hydraulic properties and crop characteristics. In this study, three tillage practices were investigated with respect to vertical soil water distribution and development of soybean. A specific focus was set on determining evaporation and transpiration as fractions of evapotranspiration to obtain additional information on water availability and crop water use. The agricultural practices included conventional tillage, reduced tillage (no plow), and no-tillage. The study site was a long-term field experiment under rainfed conditions. The investigations covered a vegetation period of soybean. The measurements comprised weather and soil water monitoring using sensors and manual monitoring of crop development. Evapotranspiration and its components were determined using scintillometer measurements and an isotope-based water balance technique. In the researched vegetation period with limited water availability, the conservative tillage practices showed better water storage, water use, and crop yields compared to the conventional practice. The weekly evaporation and transpiration rates progressed according to the respective canopy development. Thus, delayed plant development of the no-till practice led to extended green cover and productive water use during the late season, where a large part of the precipitation has fallen. The tillage-induced differences of soil hydraulic properties had a substantial impact on soil water distribution, but a comparatively small impact on the soil surface wetness and thus directly on the evaporation rate. The tillage-induced impacts on soil cover by plant residues, however, showed the substantial reduction effect of plant residue cover on evaporation losses. Hence, assessment of evaporation and transpiration rates contributes to the understanding of differences in water productivity and promotes the efficient use of the available water resources.", "keywords": ["0106 biological sciences", "2. Zero hunger", "Evapotranspiration", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "6. Clean water", "Tillage", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "Soil water management", "Isotope fractionation", "Scintillometry", "Water use"], "contacts": [{"organization": "Liebhard, Gunther, Klik, Andreas, Neugschwandtner, Reinhard W., Nolz, Reinhard,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10261/278602"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20Water%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/278602", "name": "item", "description": "10261/278602", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/278602"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-07-01T00:00:00Z"}}, {"id": "10044/1/59029", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:38Z", "type": "Journal Article", "created": "2018-03-31", "title": "Quantifying soil moisture impacts on light use efficiency across biomes", "description": "Summary<p>   <p>Terrestrial primary productivity and carbon cycle impacts of droughts are commonly quantified using vapour pressure deficit (VPD) data and remotely sensed greenness, without accounting for soil moisture. However, soil moisture limitation is known to strongly affect plant physiology.</p>  <p>Here, we investigate light use efficiency, the ratio of gross primary productivity (GPP) to absorbed light. We derive its fractional reduction due to soil moisture (fLUE), separated from VPD and greenness changes, using artificial neural networks trained on eddy covariance data, multiple soil moisture datasets and remotely sensed greenness.</p>  <p>This reveals substantial impacts of soil moisture alone that reduce GPP by up to 40% at sites located in sub\uffe2\uff80\uff90humid, semi\uffe2\uff80\uff90arid or arid regions. For sites in relatively moist climates, we find, paradoxically, a muted fLUE response to drying soil, but reduced fLUE under wet conditions.</p>  <p>fLUE identifies substantial drought impacts that are not captured when relying solely on VPD and greenness changes and, when seasonally recurring, are missed by traditional, anomaly\uffe2\uff80\uff90based drought indices. Counter to common assumptions, fLUE reductions are largest in drought\uffe2\uff80\uff90deciduous vegetation, including grasslands. Our results highlight the necessity to account for soil moisture limitation in terrestrial primary productivity data products, especially for drought\uffe2\uff80\uff90related assessments.</p>  </p", "keywords": ["Time Factors", "550", "vapour pressure deficit", "Light", "Vapor Pressure", "Rain", "Eddy covariance", "02 engineering and technology", "01 natural sciences", "630", "Ecological applications", "Soil", "drought impacts", "Vapour pressure deficit", "Photosynthesis", "drought impacts; eddy covariance; gross primary productivity (GPP); light use efficiency; photosynthesis; soil moisture; standardized precipitation index; vapour pressure deficit (VPD)", "Plant biology", "2. Zero hunger", "Light use efficiency", "Ecology", "gross primary productivity (GPP)", "Biological Sciences", "6. Clean water", "Droughts", "Climate change impacts and adaptation", "gross primary productivity", "Neural Networks", "Plant Biology & Botany", "Drought impacts", "vapour pressure deficit (VPD)", "0207 environmental engineering", "Computer", "eddy covariance", "light use efficiency", "Ecosystem", "0105 earth and related environmental sciences", "photosynthesis", "Agricultural and Veterinary Sciences", "Research", "Gross primary productivity ()", "Water", "Humidity", "Plant Transpiration", "06 Biological Sciences", "15. Life on land", "standardized precipitation index", "13. Climate action", "vapour pressure deficit (VPD", "Standardized precipitation index", "07 Agricultural And Veterinary Sciences", "Soil moisture", "Neural Networks", " Computer", "soil moisture", "Climate Change Impacts and Adaptation", "Environmental Sciences"]}, "links": [{"href": "https://nph.onlinelibrary.wiley.com/doi/pdf/10.1111/nph.15123"}, {"href": "https://escholarship.org/content/qt3sb2745c/qt3sb2745c.pdf"}, {"href": "https://doi.org/10044/1/59029"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/New%20Phytologist", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10044/1/59029", "name": "item", "description": "10044/1/59029", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10044/1/59029"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-03-31T00:00:00Z"}}, {"id": "10.6084/m9.figshare.9942854", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:29Z", "type": "Journal Article", "created": "2019-10-05", "title": "Supplementary Information from Stabilizing gold nanoparticles for use in X-ray computed tomography imaging of soil systems", "description": "This investigation establishes a system of gold nanoparticles that show good colloidal stability as an X-ray computed tomography (XCT) contrast agent under soil conditions. Gold nanoparticles offer numerous beneficial traits for experiments in biology including: comparatively minimal phytotoxicity, X-ray attenuation of the material and the capacity for functionalization. However, soil salinity, acidity and surface charges can induce aggregation and destabilize gold nanoparticles, hence in biomedical applications polymer coatings are commonly applied to gold nanoparticles to enhance stability in the <i>in vivo</i> environment. Here we first demonstrate non-coated nanoparticles aggregate in soil-water solutions. We then show coating with a polyethylene glycol (PEG) layer prevents this aggregation. To demonstrate this, PEG-coated nanoparticles were drawn through flow columns containing soil and were shown to be stable; this is in contrast with control experiments using silica and alumina-packed columns. We further determined that a suspension of coated gold nanoparticles which fully saturated soil maintained stability over at least 5 days. Finally, we used time resolved XCT imaging and image based models to approximate nanoparticle diffusion as similar to that of other typical plant nutrients diffusing in water. Together, these results establish the PEGylated gold nanoparticles as potential contrast agents for XCT imaging in soil.", "keywords": ["FOS: Computer and information sciences", "Geophysics", "80106 Image Processing", "Biological Engineering", "FOS: Earth and related environmental sciences"], "contacts": [{"organization": "Scotson, Callum P., Munoz-Hernando, Maria, Duncan, Simon J., Siul A. Ruiz, Keyes, Samuel D., Veelen, Arjen Van, Dunlop, Iain E., Roose, Tiina,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.6084/m9.figshare.9942854"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Royal%20Society%20Open%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.6084/m9.figshare.9942854", "name": "item", "description": "10.6084/m9.figshare.9942854", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.6084/m9.figshare.9942854"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.6084/m9.figshare.9942854.v1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:29Z", "type": "Journal Article", "created": "2019-10-05", "title": "Supplementary Information from Stabilizing gold nanoparticles for use in X-ray computed tomography imaging of soil systems", "description": "This investigation establishes a system of gold nanoparticles that show good colloidal stability as an X-ray computed tomography (XCT) contrast agent under soil conditions. Gold nanoparticles offer numerous beneficial traits for experiments in biology including: comparatively minimal phytotoxicity, X-ray attenuation of the material and the capacity for functionalization. However, soil salinity, acidity and surface charges can induce aggregation and destabilize gold nanoparticles, hence in biomedical applications polymer coatings are commonly applied to gold nanoparticles to enhance stability in the <i>in vivo</i> environment. Here we first demonstrate non-coated nanoparticles aggregate in soil-water solutions. We then show coating with a polyethylene glycol (PEG) layer prevents this aggregation. To demonstrate this, PEG-coated nanoparticles were drawn through flow columns containing soil and were shown to be stable; this is in contrast with control experiments using silica and alumina-packed columns. We further determined that a suspension of coated gold nanoparticles which fully saturated soil maintained stability over at least 5 days. Finally, we used time resolved XCT imaging and image based models to approximate nanoparticle diffusion as similar to that of other typical plant nutrients diffusing in water. Together, these results establish the PEGylated gold nanoparticles as potential contrast agents for XCT imaging in soil.", "keywords": ["FOS: Computer and information sciences", "Geophysics", "80106 Image Processing", "Biological Engineering", "FOS: Earth and related environmental sciences"], "contacts": [{"organization": "Scotson, Callum P., Munoz-Hernando, Maria, Duncan, Simon J., Siul A. Ruiz, Keyes, Samuel D., Veelen, Arjen Van, Dunlop, Iain E., Roose, Tiina,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.6084/m9.figshare.9942854.v1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Royal%20Society%20Open%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.6084/m9.figshare.9942854.v1", "name": "item", "description": "10.6084/m9.figshare.9942854.v1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.6084/m9.figshare.9942854.v1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.7934/p3243", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:37Z", "type": "Journal Article", "created": "2017-06-14", "title": "Hidden biodiversity: total evidence phylogenetics and evolution of morphological traits in a highly diverse lineage of endogean ground beetles,TyphlocharisDieck, 1869 (Carabidae, Trechinae, Anillini)", "description": "Abstract<p>Typhlocharisis the most diverse eyeless endogean ground beetle genus known to date, with 62 species all endemic to the West Mediterranean region. The lineage is characterized by a conservative and singular body plan within Carabidae that contrasts with a high morphological diversity in many traits. We provide an exhaustive phylogeny of the lineage through the study of 92 morphological characters from all 62 described species and 45 potential new species from 70 additional populations, and the combination of morphological and available molecular data, in the first total evidence phylogenetic approach for a highly diverse endogean lineage. We tracked the evolution of morphological traits over the obtained phylogenies. Results suggest eight morphologically distinct clades, which do not correspond to the species groups proposed formerly. Ancestral state reconstructions and phylogenetic signal analyses of morphological traits revealed that some of the previously key characters to the classification ofTyphlocharis, such as the umbilicate series or the apical denticles of elytra, are highly homoplasic, whereas other characters show stronger phylogenetic signal, including structures in the antennae, gula, pronotum and last abdominal ventrite. This evidence supports the split ofTyphlocharisinto three genera:Lusotyphlusgen. nov.;TyphlocharisDieck, 1869 andMicrocharidiusCoiffait, 1969 (revalidated), forming the subtribe Typhlocharina Jeanne, 1973.</p", "keywords": ["0106 biological sciences", "Evolution", "http://metadata.un.org/sdg/15", "Biodiversity", "15. Life on land", "Morphological traits", "Protect", " restore and promote sustainable use of terrestrial ecosystems", " sustainably manage forests", " combat\u00a0desertification", " and halt and reverse land degradation and halt biodiversity loss", "01 natural sciences"]}, "links": [{"href": "https://doi.org/10.7934/p3243"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Cladistics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.7934/p3243", "name": "item", "description": "10.7934/p3243", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7934/p3243"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-06-14T00:00:00Z"}}, {"id": "10.7554/elife.23255", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:32Z", "type": "Journal Article", "created": "2017-06-01", "title": "Experimental and observational studies find contrasting responses of soil nutrients to climate change", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Manipulative experiments and observations along environmental gradients, the two most common approaches to evaluate the impacts of climate change on nutrient cycling, are generally assumed to produce similar results, but this assumption has rarely been tested. We did so by conducting a meta-analysis and found that soil nutrients responded differentially to drivers of climate change depending on the approach considered. Soil carbon, nitrogen, and phosphorus concentrations generally decreased with water addition in manipulative experiments but increased with annual precipitation along environmental gradients. Different patterns were also observed between warming experiments and temperature gradients. Our findings provide evidence of inconsistent results and suggest that manipulative experiments may be better predictors of the causal impacts of short-term (months to years) climate change on soil nutrients but environmental gradients may provide better information for long-term correlations (centuries to millennia) between these nutrients and climatic features. Ecosystem models should consequently incorporate both experimental and observational data to properly assess the impacts of climate change on nutrient cycling.</p></article>", "keywords": ["0106 biological sciences", "QH301-705.5", "Nitrogen", "Science", "Climate Change", "precipitation", "01 natural sciences", "nitrogen", "climatic changes", "Soil", "nutrients", "biogeochemistry", "XXXXXX - Unknown", "phosphorus", "Biology (General)", "soils", "Ecosystem", "2. Zero hunger", "soil nutrient", "Ecology", "carbon", "Q", "R", "Agriculture", "Phosphorus", "15. Life on land", "Carbon", "3. Good health", "climate change", "Food", "13. Climate action", "Medicine"]}, "links": [{"href": "https://doi.org/10.7554/elife.23255"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/eLife", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.7554/elife.23255", "name": "item", "description": "10.7554/elife.23255", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7554/elife.23255"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-06-01T00:00:00Z"}}, {"id": "10.7717/peerj.14222", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:33Z", "type": "Journal Article", "created": "2022-10-12", "title": "When disturbances favour species adapted to stressful soils: grazing may benefit soil specialists in gypsum plant communities", "description": "Background <p>Herbivory and extreme soils are drivers of plant evolution. Adaptation to extreme soils often implies substrate-specific traits, and resistance to herbivory involves tolerance or avoidance mechanisms. However, little research has been done on the effect of grazing on plant communities rich in edaphic endemics growing on extreme soils. A widespread study case is gypsum drylands, where livestock grazing often prevails. Despite their limiting conditions, gypsum soils host a unique and highly specialised flora, identified as a conservation priority.</p>   Methods <p>We evaluated the effect of different grazing intensities on the assembly of perennial plant communities growing on gypsum soils. We considered the contribution of species gypsum affinity and key functional traits of species such as traits related to gypsum specialisation (leaf S accumulation) or traits related to plant tolerance to herbivory such as leaf C and N concentrations. The effect of grazing intensity on plant community indices (i.e., richness, diversity, community weighted-means (CWM) and functional diversity (FD) indices for each trait) were modelled using Generalised Linear Mixed Models (GLMM). We analysed the relative contribution of interspecific trait variation and intraspecific trait variation (ITV) in shifts of community index values.</p>   Results <p>Livestock grazing may benefit gypsum plant specialists during community assembly, as species with high gypsum affinity, and high leaf S contents, were more likely to assemble in the most grazed plots. Grazing also promoted species with traits related to herbivory tolerance, as species with a rapid-growth strategy (high leaf N, low leaf C) were promoted under high grazing conditions. Species that ultimately formed gypsum plant communities had sufficient functional variability among individuals to cope with different grazing intensities, as intraspecific variability was the main component of species assembly for CWM values.</p>   Conclusions <p>The positive effects of grazing on plant communities in gypsum soils indicate that livestock may be a key tool for the conservation of these edaphic endemics.</p", "keywords": ["0106 biological sciences", "2. Zero hunger", "Edpahism", "QH301-705.5", "Mineral nutrition", "Intraspecific variability", "R", "Gypsophily", "Functional diversity", "15. Life on land", "01 natural sciences", "Gypsovag", "Medicine", "Biology (General)", "Plant-herbivore interactions", "Gypsophile"]}, "links": [{"href": "https://peerj.com/articles/14222.pdf"}, {"href": "https://doi.org/10.7717/peerj.14222"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PeerJ", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.7717/peerj.14222", "name": "item", "description": "10.7717/peerj.14222", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7717/peerj.14222"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-10-12T00:00:00Z"}}, {"id": "10.7717/peerj.14485", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:33Z", "type": "Journal Article", "created": "2022-12-01", "title": "Differential responses of the seed germination of three functional groups to low temperature and darkness in a typical steppe, Northern China", "description": "<p>Seed germination is a key stage in the life history of plants, which has a crucial effect on plant community structure. Climate change has substantially altered the surface soil temperature and light availability, which can affect seed germination. However, whether the seed germination of different functional groups is affected by the interactions of light and temperature remains unclear. Under laboratory conditions, we examined the effects of low temperature and darkness, as well as their interaction, on the seed germination of 16 species belonging to three plant functional groups (annual and biennials, perennial grasses, and perennial forbs) in a typical steppe, Northern China. We found that low temperature had a significant negative effect on seed germination of all species. Low temperature significantly decreased the final germination percentage and germinative force of the three plant functional groups, and the germination duration of perennial grasses. Darkness significantly decreased the germinative force of perennial forbs and total seeds, and the germination duration of perennial grasses. The interactive effects of light and temperature on the seed final germination percentage and germinative force of perennial grass indicated that darkness strengthened the inhibitory effect of low temperature on the seed germination of the grass functional group. Our study indicate that the seed germination of different plant functional groups varied greatly in response to changing environmental conditions. Our results suggest that future climate change could alter the regeneration and species composition of plant communities through changing seed germination.</p>", "keywords": ["0106 biological sciences", "2. Zero hunger", "China", "QH301-705.5", "R", "Temperature", "Germination", "Germination percentage", "semiarid region", "Darkness", "Plants", "15. Life on land", "Poaceae", "01 natural sciences", "Plant diversity", "13. Climate action", "Seeds", "Medicine", "Biology (General)", "Agricultural Science", "Global change"]}, "links": [{"href": "https://doi.org/10.7717/peerj.14485"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PeerJ", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.7717/peerj.14485", "name": "item", "description": "10.7717/peerj.14485", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7717/peerj.14485"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-12-01T00:00:00Z"}}, {"id": "10.7717/peerj.233", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:33Z", "type": "Journal Article", "created": "2014-01-28", "title": "Plant Compensation To Grazing And Soil Carbon Dynamics In A Tropical Grassland", "description": "The effects of grazing on soil organic carbon (SOC) dynamics, particularly in the tropics, are still poorly understood. Plant compensation to grazing, whereby plants maintain leaf area (C input capacity) despite consumption (C removal) by grazers, has been demonstrated in tropical grasslands but its influence on SOC is largely unexplored. Here, the effect of grazing on plant leaf area index (LAI) was measured in a field experiment in Serengeti National Park, Tanzania. LAI changed little for grazing intensities up to 70%. The response curve of LAI versus grazing intensity was used in a mass balance model, called SNAP, of SOC dynamics based on previous data from the Serengeti. The model predicted SOC to increase at intermediate grazing intensity, but then to decline rapidly at the highest grazing intensities. The SNAP model predictions were compared with observed SOC stocks in the 24 grazed plots of a 10-year grazing exclosure experiment at eight sites across the park that varied in mean annual rainfall, soil texture, grazing intensity and plant lignin and cellulose. The model predicted current SOC stocks very well (R (2) > 0.75), and suggests that compensatory plant responses to grazing are an important means of how herbivores might maintain or increase SOC in tropical grasslands.", "keywords": ["2. Zero hunger", "0106 biological sciences", "Ecology", "QH301-705.5", "R", "1. No poverty", "04 agricultural and veterinary sciences", "Plants", "15. Life on land", "Soil carbon", "01 natural sciences", "Leaf area", "Grazing", "Medicine", "0401 agriculture", " forestry", " and fisheries", "Herbivory", "Biology (General)", "Compensation"], "contacts": [{"organization": "Mark E. Ritchie", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7717/peerj.233"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PeerJ", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.7717/peerj.233", "name": "item", "description": "10.7717/peerj.233", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7717/peerj.233"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-01-16T00:00:00Z"}}, {"id": "10.7717/peerj.6169", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:33Z", "type": "Journal Article", "created": "2019-01-03", "title": "Polyphasic evaluation of key cyanobacteria in biocrusts from the most arid region in Europe", "description": "<p>Cyanobacteria are key microbes in topsoil communities that have important roles in preventing soil erosion, carbon and nitrogen fixation, and influencing soil hydrology. However, little is known regarding the identity and distribution of the microbial components in the photosynthetic assemblages that form a cohesive biological soil crust (biocrust) in drylands of Europe. In this study, we investigated the cyanobacterial species colonizing biocrusts in three representative dryland ecosystems from the most arid region in Europe (SE Spain) that are characterized by different soil conditions. Isolated cyanobacterial cultures were identified by a polyphasic approach, including 16S rRNA gene sequencing, phylogenetic relationship determination, and morphological and ecological habitat assessments. Three well-differentiated groups were identified: heterocystous-cyanobacteria (Nostoc commune,Nostoc calcicola,Tolypothrix distortaandScytonema hyalinum), which play an important role in N and C cycling in soil; nonheterocystous bundle-forming cyanobacteria (Microcoleus steenstrupii,Trichocoleus desertorum, andSchizothrixcf. calcicola); and narrow filamentous cyanobacteria (Leptolyngbya frigidaandOculatella kazantipica), all of which are essential genera for initial biocrust formation. The results of this study contribute to our understanding of cyanobacterial species composition in biocrusts from important and understudied European habitats, such as the Mediterranean Basin, a hotspot of biodiversity, where these species are keystone pioneer organisms.</p", "keywords": ["2. Zero hunger", "0301 basic medicine", "0303 health sciences", "QH301-705.5", "R", "Biological soil crust", "Soil cyanobacteria", "Biodiversity", "15. Life on land", "Biolog\u00eda y Biomedicina / Biolog\u00eda", "03 medical and health sciences", "13. Climate action", "Medicine", "16S rRNA gene", "Biology (General)", "Phylogenetic relationships", "Biocrusts"]}, "links": [{"href": "https://peerj.com/articles/6169.pdf"}, {"href": "https://doi.org/10.7717/peerj.6169"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PeerJ", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.7717/peerj.6169", "name": "item", "description": "10.7717/peerj.6169", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7717/peerj.6169"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-03T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Biological&offset=3050&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=Biological&offset=3050&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=Biological&offset=3000", "hreflang": "en-US"}, {"rel": "next", "type": "application/geo+json", "title": "items (next)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Biological&offset=3100", "hreflang": "en-US"}], "numberMatched": 3557, "numberReturned": 50, "distributedFeatures": [], "timeStamp": "2026-04-04T13:55:59.149840Z"}