Responses of alpine tree line ecosystems to increasing atmospheric CO2 concentrations and global warming are poorly understood. We used an experiment at the Swiss tree line to investigate changes in vegetation biomass after 9\uffc2\uffa0years of free air CO2 enrichment (+200\uffc2\uffa0ppm; 2001\uffe2\uff80\uff932009) and 6\uffc2\uffa0years of soil warming (+4\uffc2\uffa0\uffc2\uffb0C; 2007\uffe2\uff80\uff932012). The study contained two key tree line species, Larix decidua and Pinus uncinata, both approximately 40\uffc2\uffa0years old, growing in heath vegetation dominated by dwarf shrubs. In 2012, we harvested and measured biomass of all trees (including root systems), above\uffe2\uff80\uff90ground understorey vegetation and fine roots. Overall, soil warming had clearer effects on plant biomass than CO2 enrichment, and there were no interactive effects between treatments. Total plant biomass increased in warmed plots containing Pinus but not in those with Larix. This response was driven by changes in tree mass (+50%), which contributed an average of 84% (5.7\uffc2\uffa0kg\uffc2\uffa0m\uffe2\uff88\uff922) of total plant mass. Pinus coarse root mass was especially enhanced by warming (+100%), yielding an increased root mass fraction. Elevated CO2 led to an increased relative growth rate of Larix stem basal area but no change in the final biomass of either tree species. Total understorey above\uffe2\uff80\uff90ground mass was not altered by soil warming or elevated CO2. However, Vaccinium myrtillus mass increased with both treatments, graminoid mass declined with warming, and forb and nonvascular plant (moss and lichen) mass decreased with both treatments. Fine roots showed a substantial reduction under soil warming (\uffe2\uff88\uff9240% for all roots <2\uffc2\uffa0mm in diameter at 0\uffe2\uff80\uff9320\uffc2\uffa0cm soil depth) but no change with CO2 enrichment. Our findings suggest that enhanced overall productivity and shifts in biomass allocation will occur at the tree line, particularly with global warming. However, individual species and functional groups will respond differently to these environmental changes, with consequences for ecosystem structure and functioning.
", "keywords": ["0106 biological sciences", "2. Zero hunger", "Models", " Statistical", "Temperature", "Larix", "Carbon Dioxide", "15. Life on land", "Pinus", "Global Warming", "01 natural sciences", "Soil", "Species Specificity", "13. Climate action", "Biomass", "Tundra", "Switzerland"]}, "links": [{"href": "https://doi.org/10.1111/gcb.12819"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/gcb.12819", "name": "item", "description": "10.1111/gcb.12819", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/gcb.12819"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-01-30T00:00:00Z"}}, {"id": "10.1016/j.envpol.2018.07.108", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:17:28Z", "type": "Journal Article", "created": "2018-07-24", "title": "Considering the forms of released engineered nanomaterials in probabilistic material flow analysis", "description": "Most existing models for assessing the releases of engineered nanomaterials (ENMs) into the environment are based on the assumption that ENMs remain in their pristine forms during their whole life cycle. It is known, however, that this is not always the case as ENMs are often embedded into solid matrices during manufacturing and can undergo physical or chemical transformations during their life cycle, e.g. upon release to wastewater. In this work, we present a method for systematically assessing the forms in which nano-Ag and nano-TiO2 flow through their life cycle (i.e. production, manufacturing, use and disposal) to their points of release to air, soil and surface water. Input data on the forms of released ENMs were probability distributions based on peer-reviewed literature. Release data were incorporated into a probabilistic material flow analysis model to quantify the proportions of ENMs in product-embedded, matrix-embedded, pristine, transformed and dissolved forms in all technical and environmental compartments into which they flow, at the European scale. Releases of nano-Ag to surface water and soil were modelled to occur primarily in transformed forms (Q25 and Q75 of 34-58% and 78-86%, respectively, with means of 53% and 82%), while releases to air were mostly in pristine and matrix-embedded forms (38-46% and 36-44%, respectively, with means of 42% and 40%). In contrast, nano-TiO2 releases to air, soil and water were estimated to be predominantly in pristine form (75-85%, 90-95%, 96-98%, respectively, with means of 80%, 91% and 97%). The distributions of ENM releases between forms developed here will improve the representativeness and appropriateness of input data for environmental fate modelling and risk assessment of ENMs.", "keywords": ["Titanium", "Models", " Statistical", "Silver", "Air", "0211 other engineering and technologies", "Water", "02 engineering and technology", "Risk Assessment", "01 natural sciences", "6. Clean water", "Nanostructures", "12. Responsible consumption", "Soil", "13. Climate action", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.envpol.2018.07.108"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Pollution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.envpol.2018.07.108", "name": "item", "description": "10.1016/j.envpol.2018.07.108", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.envpol.2018.07.108"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-12-01T00:00:00Z"}}, {"id": "10.1016/j.jenvman.2023.118532", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:18:01Z", "type": "Journal Article", "created": "2023-07-14", "title": "Predicting spatiotemporal soil organic carbon responses to management using EPIC-IIASA meta-models", "description": "The management of Soil Organic Carbon (SOC) is a critical component of both nature-based solutions for climate change mitigation and global food security. Agriculture has contributed substantially to a reduction in global SOC through cultivation, thus there has been renewed focus on management practices which minimize SOC losses and increase SOC gain as pathways towards maintaining healthy soils and reducing net greenhouse gas emissions. Mechanistic models are frequently used to aid in identifying these pathways due to their scalability and cost-effectiveness. Yet, they are often computationally costly and rely on input data that are often only available at coarse spatial resolutions. Herein, we build statistical meta-models of a multifactorial crop model in order to both (a) obtain a simplified model response and (b) explore the biophysical determinants of SOC responses to management and the geospatial heterogeneity of SOC dynamics across Europe. Using 5600 unique simulations of crop growth from the gridded Environmental Policy Integrated Climate-based Gridded Agricultural Model (EPIC-IIASA GAM) covering 86,000 simulation units across Europe, we build multiple polynomial regression ensemble meta-models for unique combinations of climate and soil across Europe in order to predict SOC responses to varying management intensities. We find that our biophysically-explicit meta models are highly accurate (R2\u00a0=\u00a00.97) representations of the full mechanistic model and can be used in lieu of the full EPIC-IIASA GAM model for the estimation of SOC responses to cropland management. Model stratification by means of climate and soil clustering improved the performance of the meta-models compared to the full EU-scale model. In regional and local validations of the meta-model predictions, we find that the meta-models largely capture broad SOC dynamics such as the linear nature of SOC responses to residue application, yet they often underestimate the magnitude of SOC responses to management. Furthermore, we find notable differences between the results from the biophysically-specific models throughout Europe, which point to spatially-distinct SOC responses to management choices such as nitrogen fertilizer application rates and residue retention that illustrate the potential for these models to be used for future management applications. While more accurate input data, calibration, and validation will be needed to accurately predict SOC change, we demonstrate the use of our meta-models for biophysical cluster and field study scale analyses of broad SOC dynamics with basically zero fine-tuning of the models needed. This work provides a framework for simplifying large-scale agricultural models and identifies the opportunities for using these meta-models for assessing SOC responses to management at a variety of scales.", "keywords": ["2. Zero hunger", "Europe", "Soil", "Carbon Sequestration", "Models", " Statistical", "550", "13. Climate action", "11. Sustainability", "Agriculture", "15. Life on land", "630", "Carbon"]}, "links": [{"href": "https://pure.iiasa.ac.at/id/eprint/18928/1/Ippolito_et_al_manuscript_clean.pdf"}, {"href": "https://doi.org/10.1016/j.jenvman.2023.118532"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Environmental%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jenvman.2023.118532", "name": "item", "description": "10.1016/j.jenvman.2023.118532", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jenvman.2023.118532"}, {"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": "10.1016/j.physrep.2020.09.005", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:18:08Z", "type": "Journal Article", "created": "2020-10-03", "title": "Statistical physics approaches to the complex Earth system", "description": "Global climate change, extreme climate events, earthquakes and their accompanying natural disasters pose significant risks to humanity. Yet due to the nonlinear feedbacks, strategic interactions and complex structure of the Earth system, the understanding and in particular the predicting of such disruptive events represent formidable challenges for both scientific and policy communities. During the past years, the emergence and evolution of Earth system science has attracted much attention and produced new concepts and frameworks. Especially, novel statistical physics and complex networks-based techniques have been developed and implemented to substantially advance our knowledge for a better understanding of the Earth system, including climate extreme events, earthquakes and Earth geometric relief features, leading to substantially improved predictive performances. We present here a comprehensive review on the recent scientific progress in the development and application of how combined statistical physics and complex systems science approaches such as, critical phenomena, network theory, percolation, tipping points analysis, as well as entropy can be applied to complex Earth systems (climate, earthquakes, etc.). Notably, these integrating tools and approaches provide new insights and perspectives for understanding the dynamics of the Earth systems. The overall aim of this review is to offer readers the knowledge on how statistical physics approaches can be useful in the field of Earth system science.", "keywords": ["0301 basic medicine", "Physics - Physics and Society", "Earthquake", "550", "Climate Change", "Complex Network", "FOS: Physical sciences", "Physics and Society (physics.soc-ph)", "Complex Earth Systems", "Article", "Physics - Geophysics", "03 medical and health sciences", "S\u00edndrome respiratorio agudo grave", "11. Sustainability", "Condensed Matter - Statistical Mechanics", "0303 health sciences", "Statistical Mechanics (cond-mat.stat-mech)", "SARS-CoV-2", "Statistical Physics", "COVID-19", "500", "Geophysics (physics.geo-ph)", "Coronavirus", "13. Climate action", "Physics - Data Analysis", " Statistics and Probability", "Data Analysis", " Statistics and Probability (physics.data-an)"]}, "links": [{"href": "https://doi.org/10.1016/j.physrep.2020.09.005"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Physics%20Reports", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.physrep.2020.09.005", "name": "item", "description": "10.1016/j.physrep.2020.09.005", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.physrep.2020.09.005"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-02-01T00:00:00Z"}}, {"id": "10.1016/j.scitotenv.2018.12.079", "type": "Feature", "geometry": null, "properties": {"license": "Closed Access", "updated": "2026-06-26T16:18:16Z", "type": "Journal Article", "created": "2018-12-07", "title": "Vineyards in transition: A global assessment of the adaptation needs of grape producing regions under climate change", "description": "This paper suggests how climate change may transform vineyards. We consider changes in agro-climatic indicators derived from climatic variables as drivers for adaptation needs. We use two climate scenarios, GCM GFL-ESM2M and HadGEM2-ES, with 0.5\u00b0 spatial resolution and daily time step forced by two emission scenarios, RCP2.6 and 6.0, to estimate the transition of potential vineyards in the major grape production world areas by the late 21st century. We present and discuss changes in three impact indicators - one drought indicator and two temperature ones - aimed at exploring the benefits of transition-based policies. The drought indicator provides insights to prepare adaptation for extreme events in probabilistic terms. The temperature indicators offer information on the transition towards suitable zones of production. Future projections suggest a lack of water to maintain current levels of production in all regions of the world. Furthermore, thermal suitability of grapevine may be greatly affected in China and the Mediterranean region. Nevertheless, the possibility of quality wines is not altered within the regions with adequate suitability. Lastly, a portfolio of strategies to adapt to the future climate is presented.", "keywords": ["[SDE] Environmental Sciences", "2. Zero hunger", "0301 basic medicine", "China", "Models", " Statistical", "Mediterranean Region", "Climate Change", "Oceania", "Temperature", "Agriculture", "South America", "15. Life on land", "01 natural sciences", "Droughts", "South Africa", "03 medical and health sciences", "13. Climate action", "[SDE]Environmental Sciences", "North America", "Vitis", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.scitotenv.2018.12.079"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20of%20The%20Total%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.scitotenv.2018.12.079", "name": "item", "description": "10.1016/j.scitotenv.2018.12.079", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.scitotenv.2018.12.079"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-03-01T00:00:00Z"}}, {"id": "10.1016/s0378-1127(00)00282-6", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:18:51Z", "type": "Journal Article", "created": "2002-07-25", "title": "Effects of forest management on soil c and n storage: meta analysis", "description": "Abstract The effects of forest management on soil carbon (C) and nitrogen (N) are important to understand not only because these are often master variables determining soil fertility but also because of the role of soils as a source or sink for C on a global scale. This paper reviews the literature on forest management effects on soil C and N and reports the results of a meta analysis of these data. The meta analysis showed that forest harvesting, on average, had little or no effect on soil C and N. Significant effects of harvest type and species were noted, with sawlog harvesting causing increases (+18%) in soil C and N and whole-tree harvesting causing decreases (\u22126%). The positive effect of sawlog harvesting appeared to be restricted to coniferous species. Fire resulted in no significant overall effects of fire on either C or N (when categories were combined); but there was a significant effect of time since fire, with an increase in both soil C and N after 10 years (compared to controls). Significant differences among fire treatments were found, with the counterintuitive result of lower soil C following prescribed fire and higher soil C following wildfire. The latter is attributed to the sequestration of charcoal and recalcitrant, hydrophobic organic matter and to the effects of naturally invading, post-fire, N-fixing vegetation. Both fertilization and N-fixing vegetation caused marked overall increases in soil C and N.", "keywords": ["0106 biological sciences", "sawlog-harvesting: harvesting-method", "Coniferopsida-: Gymnospermae-", "Vascular-Plants", "Eucalyptus-spp. (Myrtaceae-)", "01 natural sciences", "carbon-: soil-storage", "Salicaceae-: Dicotyledones-", "Spermatophytes-", "Spermatophyta-", "Plantae-", "Forest Sciences", "Pinus-spp. (Coniferopsida-)", "Picea-abies (Coniferopsida-)", "meta-analysis: statistical-method", "2. Zero hunger", "7440-44-0: CARBON", "Angiosperms-", "Myrtaceae-: Dicotyledones-", "Gymnosperms-", "Angiospermae-", "Plants-", "04 agricultural and veterinary sciences", "15. Life on land", "Soil-Science", "whole-tree-harvesting: harvesting-method", "Populus-tremuloides (Salicaceae-)", "Forestry-", "7727-37-9: NITROGEN", "prescribed-burning: forestry-method", "0401 agriculture", " forestry", " and fisheries", "Dicots-", "nitrogen-: soil-storage"], "contacts": [{"organization": "Peter S. Curtis, Dale W. Johnson, Dale W. Johnson,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/s0378-1127(00)00282-6"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Forest%20Ecology%20and%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/s0378-1127(00)00282-6", "name": "item", "description": "10.1016/s0378-1127(00)00282-6", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/s0378-1127(00)00282-6"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2001-01-01T00:00:00Z"}}, {"id": "10.1111/gcb.12701", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:20:35Z", "type": "Journal Article", "created": "2014-08-06", "title": "Reducing Greenhouse Gas Emissions, Water Use, And Grain Arsenic Levels In Rice Systems", "description": "AbstractAgriculture is faced with the challenge of providing healthy food for a growing population at minimal environmental cost. Rice (Oryza sativa), the staple crop for the largest number of people on earth, is grown under flooded soil conditions and uses more water and has higher greenhouse gas (GHG) emissions than most crops. The objective of this study was to test the hypothesis that alternate wetting and drying (AWD \uffe2\uff80\uff93 flooding the soil and then allowing to dry down before being reflooded) water management practices will maintain grain yields and concurrently reduce water use, greenhouse gas emissions and arsenic (As) levels in rice. Various treatments ranging in frequency and duration of AWD practices were evaluated at three locations over 2\uffc2\uffa0years. Relative to the flooded control treatment and depending on the AWD treatment, yields were reduced by <1\uffe2\uff80\uff9313%; water\uffe2\uff80\uff90use efficiency was improved by 18\uffe2\uff80\uff9363%, global warming potential (GWP of CH4 and N2O emissions) reduced by 45\uffe2\uff80\uff9390%, and grain As concentrations reduced by up to 64%. In general, as the severity of AWD increased by allowing the soil to dry out more between flood events, yields declined while the other benefits increased. The reduction in GWP was mostly attributed to a reduction in CH4 emissions as changes in N2O emissions were minimal among treatments. When AWD was practiced early in the growing season followed by flooding for remainder of season, similar yields as the flooded control were obtained but reduced water use (18%), GWP (45%) and yield\uffe2\uff80\uff90scaled GWP (45%); although grain As concentrations were similar or higher. This highlights that multiple environmental benefits can be realized without sacrificing yield but there may be trade\uffe2\uff80\uff90offs to consider. Importantly, adoption of these practices will require that they are economically attractive and can be adapted to field scales.
", "keywords": ["Greenhouse Effect", "2. Zero hunger", "Agricultural Irrigation", "Arkansas", "Models", " Statistical", "Agriculture", "Oryza", "04 agricultural and veterinary sciences", "Carbon Dioxide", "15. Life on land", "6. Clean water", "Arsenic", "12. Responsible consumption", "13. Climate action", "Seeds", "11. Sustainability", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "https://doi.org/10.1111/gcb.12701"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/gcb.12701", "name": "item", "description": "10.1111/gcb.12701", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/gcb.12701"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-09-09T00:00:00Z"}}, {"id": "10.1111/j.1469-8137.2006.01732.x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:20:55Z", "type": "Journal Article", "created": "2006-04-25", "title": "Antecedent Moisture And Seasonal Precipitation Influence The Response Of Canopy-Scale Carbon And Water Exchange To Rainfall Pulses In A Semi-Arid Grassland", "description": "The influences of prior monsoon-season drought (PMSD) and the seasonal timing of episodic rainfall ('pulses') on carbon and water exchange in water-limited ecosystems are poorly quantified. *In the present study, we estimated net ecosystem exchange of CO(2) (NEE) and evapotranspiration (ET) before, and for 15 d following, experimental irrigation in a semi-arid grassland during June and August 2003. Rainout shelters near Tucson, Arizona, USA, were positioned on contrasting soils (clay and sand) and planted with native (Heteropogon contortus) or non-native invasive (Eragrostis lehmanniana) C4 bunchgrasses. Plots received increased ('wet') or decreased ('dry') monsoon-season (July-September) rainfall during 2002 and 2003. Following a June 2003 39-mm pulse, species treatments had similar NEE and ET dynamics including 15-d integrated NEE (NEE(pulse)). Contrary to predictions, PMSD increased net C uptake during June in plots of both species. Greater flux rates after an August 2003 39-mm pulse reflected biotic activity associated with the North American Monsoon. Furthermore, August NEE(pulse) and ecosystem pulse-use efficiency (PUE(e) = NEE(pulse)/ET(pulse)) was greatest in Heteropogon plots. PMSD and rainfall seasonal timing may interact with bunchgrass invasions to alter NEE and ET dynamics with consequences for PUE(e) in water-limited ecosystems.", "keywords": ["0106 biological sciences", "Climate", "Rain", "Arizona", "Water", "Plant Transpiration", "Carbon Dioxide", "Eragrostis", "15. Life on land", "Poaceae", "01 natural sciences", "Carbon", "6. Clean water", "13. Climate action", "Data Interpretation", " Statistical", "Seasons", "Ecosystem", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1111/j.1469-8137.2006.01732.x"}, {"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": "10.1111/j.1469-8137.2006.01732.x", "name": "item", "description": "10.1111/j.1469-8137.2006.01732.x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/j.1469-8137.2006.01732.x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2006-04-25T00:00:00Z"}}, {"id": "10.1371%2fjournal.pone.0109319", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:21:36Z", "type": "Journal Article", "created": "2014-10-07", "title": "Effects Of Warming And Clipping On Ecosystem Carbon Fluxes Across Two Hydrologically Contrasting Years In An Alpine Meadow Of The Qinghai-Tibet Plateau", "description": "Responses of ecosystem carbon (C) fluxes to human disturbance and climatic warming will affect terrestrial ecosystem C storage and feedback to climate change. We conducted a manipulative experiment to investigate the effects of warming and clipping on soil respiration (Rs), ecosystem respiration (ER), net ecosystem exchange (NEE) and gross ecosystem production (GEP) in an alpine meadow in a permafrost region during two hydrologically contrasting years (2012, with 29.9% higher precipitation than the long-term mean, and 2013, with 18.9% lower precipitation than the long-tem mean). Our results showed that GEP was higher than ER, leading to a net C sink (measured by NEE) over the two growing seasons. Warming significantly stimulated ecosystem C fluxes in 2012 but did not significantly affect these fluxes in 2013. On average, the warming-induced increase in GEP (1.49 \u00b5 mol m(-2) s(-1)) was higher than in ER (0.80 \u00b5 mol m(-2) s(-1)), resulting in an increase in NEE (0.70 \u00b5 mol m(-2) s(-1)). Clipping and its interaction with warming had no significant effects on C fluxes, whereas clipping significantly reduced aboveground biomass (AGB) by 51.5 g m(-2) in 2013. These results suggest the response of C fluxes to warming and clipping depends on hydrological variations. In the wet year, the warming treatment caused a reduction in water, but increases in soil temperature and AGB contributed to the positive response of ecosystem C fluxes to warming. In the dry year, the reduction in soil moisture, caused by warming, and the reduction in AGB, caused by clipping, were compensated by higher soil temperatures in warmed plots. Our findings highlight the importance of changes in soil moisture in mediating the responses of ecosystem C fluxes to climate warming in an alpine meadow ecosystem.", "keywords": ["Science", "Climate Change", "Tibet", "Carbon Cycle", "Soil", "Animals", "Humans", "Biomass", "Herbivory", "Models", " Statistical", "Q", "R", "Temperature", "Water", "04 agricultural and veterinary sciences", "Carbon Dioxide", "Plants", "15. Life on land", "Grassland", "13. Climate action", "8. Economic growth", "Medicine", "0401 agriculture", " forestry", " and fisheries", "Seasons", "Hydrology", "Research Article"], "contacts": [{"organization": "Fei Peng, Quangang You, Tao Wang, Jian Guo, Xian Xue, Manhou Xu,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1371%2fjournal.pone.0109319"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PLoS%20ONE", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1371%2fjournal.pone.0109319", "name": "item", "description": "10.1371%2fjournal.pone.0109319", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1371%2fjournal.pone.0109319"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-10-07T00:00:00Z"}}, {"id": "10.1371%2fjournal.pone.0123160", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:21:36Z", "type": "Journal Article", "created": "2015-04-15", "title": "Responses Of Plant Community Composition And Biomass Production To Warming And Nitrogen Deposition In A Temperate Meadow Ecosystem", "description": "Climate change has profound influences on plant community composition and ecosystem functions. However, its effects on plant community composition and biomass production are not well understood. A four-year field experiment was conducted to examine the effects of warming, nitrogen (N) addition, and their interactions on plant community composition and biomass production in a temperate meadow ecosystem in northeast China. Experimental warming had no significant effect on plant species richness, evenness, and diversity, while N addition highly reduced the species richness and diversity. Warming tended to reduce the importance value of graminoid species but increased the value of forbs, while N addition had the opposite effect. Warming tended to increase the belowground biomass, but had an opposite tendency to decrease the aboveground biomass. The influences of warming on aboveground production were dependent upon precipitation. Experimental warming had little effect on aboveground biomass in the years with higher precipitation, but significantly suppressed aboveground biomass in dry years. Our results suggest that warming had indirect effects on plant production via its effect on the water availability. Nitrogen addition significantly increased above- and below-ground production, suggesting that N is one of the most important limiting factors determining plant productivity in the studied meadow steppe. Significant interactive effects of warming plus N addition on belowground biomass were also detected. Our observations revealed that environmental changes (warming and N deposition) play significant roles in regulating plant community composition and biomass production in temperate meadow steppe ecosystem in northeast China.", "keywords": ["0106 biological sciences", "0301 basic medicine", "China", "Nitrogen", "Science", "Climate", "Climate Change", "Poaceae", "Global Warming", "7. Clean energy", "01 natural sciences", "Soil", "03 medical and health sciences", "Biomass", "Ecosystem", "2. Zero hunger", "Models", " Statistical", "Q", "R", "Temperature", "Water", "Agriculture", "15. Life on land", "6. Clean water", "13. Climate action", "Medicine", "Research Article"], "contacts": [{"organization": "Song Gao, Rui Guo, Wei Sun, Tao Zhang, Jixun Guo,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1371%2fjournal.pone.0123160"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PLOS%20ONE", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1371%2fjournal.pone.0123160", "name": "item", "description": "10.1371%2fjournal.pone.0123160", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1371%2fjournal.pone.0123160"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-04-13T00:00:00Z"}}, {"id": "10.1371/journal.pone.0102344", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:21:39Z", "type": "Journal Article", "created": "2014-07-17", "title": "Relationships Of Biomass With Environmental Factors In The Grassland Area Of Hulunbuir, China", "description": "Many studies have focused on the relationship between vegetation biomass and environmental factors in grassland. However, several questions remain to be answered, especially with regards to the spatial pattern of vegetation biomass. Thus, the distributed mechanism will be explored in the present study. Here, plant biomass was measured at 23 sites along a transect survey during the peak growing season in 2006. The data were analyzed with a classification and regression tree (CART) model. The structural equation modeling (SEM) was conducted to explicitly evaluate the both direct and indirect effects of these critical environmental elements on vegetation biomass. The results demonstrated that mean annual temperature (MAT) affected aboveground biomass (AGB) scored at -0.811 (P<0.05). The direct effect of MAT on belowground biomass (BGB) was -0.490 (P<0.05). The results were determined by SEM. Our results indicate that AGB and BGB in semi-arid ecosystems is strongly affected by precipitation and temperature. Future work shall attempt to take into account the integrated effects of precipitation and temperature. Meanwhile, partitioning the influences of environmental variations and vegetation types are helpful in illuminating the internal mechanism of biomass distribution.", "keywords": ["0106 biological sciences", "2. Zero hunger", "China", "Models", " Statistical", "Science", "Climate", "Data Collection", "Rain", "Q", "R", "Temperature", "Mongolia", "04 agricultural and veterinary sciences", "Plants", "15. Life on land", "Grassland", "01 natural sciences", "13. Climate action", "Medicine", "0401 agriculture", " forestry", " and fisheries", "Biomass", "Plant Physiological Phenomena", "Research Article"]}, "links": [{"href": "https://doi.org/10.1371/journal.pone.0102344"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PLoS%20ONE", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1371/journal.pone.0102344", "name": "item", "description": "10.1371/journal.pone.0102344", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1371/journal.pone.0102344"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-07-17T00:00:00Z"}}, {"id": "10.1371/journal.pone.0184198", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:21:40Z", "type": "Journal Article", "created": "2017-09-01", "title": "Portfolio optimization for seed selection in diverse weather scenarios", "description": "The aim of this work was to develop a method for selection of optimal soybean varieties for the American Midwest using data analytics. We extracted the knowledge about 174 varieties from the dataset, which contained information about weather, soil, yield and regional statistical parameters. Next, we predicted the yield of each variety in each of 6,490 observed subregions of the Midwest. Furthermore, yield was predicted for all the possible weather scenarios approximated by 15 historical weather instances contained in the dataset. Using predicted yields and covariance between varieties through different weather scenarios, we performed portfolio optimisation. In this way, for each subregion, we obtained a selection of varieties, that proved superior to others in terms of the amount and stability of yield. According to the rules of Syngenta Crop Challenge, for which this research was conducted, we aggregated the results across all subregions and selected up to five soybean varieties that should be distributed across the network of seed retailers. The work presented in this paper was the winning solution for Syngenta Crop Challenge 2017.", "keywords": ["Crops", " Agricultural", "2. Zero hunger", "Models", " Statistical", "Glycine max", "Science", "Climate Change", "Q", "R", "Uncertainty", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "Portfolio optimisation", "Yield prediction", "Midwestern United States", "03 medical and health sciences", "0302 clinical medicine", "Seeds", "Medicine", "Regression Analysis", "0401 agriculture", " forestry", " and fisheries", "data analytics", "Weather", "Research Article"]}, "links": [{"href": "https://doi.org/10.1371/journal.pone.0184198"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PLOS%20ONE", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1371/journal.pone.0184198", "name": "item", "description": "10.1371/journal.pone.0184198", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1371/journal.pone.0184198"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-09-01T00:00:00Z"}}, {"id": "10.3389/feart.2021.729282", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:23:08Z", "type": "Journal Article", "created": "2021-09-07", "title": "An Operational Earthquake Forecasting Experiment for Israel: Preliminary Results", "description": "Operational Earthquake Forecasting (OEF) aims to deliver timely and reliable forecasts that may help to mitigate seismic risk during earthquake sequences. In this paper, we build the first OEF system for the State of Israel, and we evaluate its reliability. This first version of the OEF system is composed of one forecasting model, which is based on a stochastic clustering Epidemic Type Earthquake Sequence (ETES) model. For every day of the forecasting time period, January 1, 2016 - November 15, 2020, the OEF-Israel system produces a weekly forecast for target earthquakes with local magnitudes greater than 4.0 and 5.5 in the entire State of Israel. Specifically, it provides space-time-dependent seismic maps of the weekly probabilities, obtained by using a fixed set of the model\uffe2\uff80\uff99s parameters, which are estimated through the maximum likelihood technique based on a learning period of about 32\uffc2\uffa0years (1983\uffe2\uff80\uff932015). According to the guidance proposed by the Collaboratory for the Study of Earthquake Predictability (CSEP), we also perform the N- and S-statistical tests to verify the reliability of the forecasts. Results show that the OEF system forecasts a number of events comparable to the observed one, and also captures quite well the spatial distribution of the real catalog with the exception of two target events that occurred in low seismicity regions.
", "keywords": ["seismic predictability in the short-term", "Science", "Q", "statistical tests", "reliable forecasts", "operational earthquake forecasting", "01 natural sciences", "ETES model; operational earthquake forecasting; reliable forecasts; seismic predictability in the short-term; statistical tests", "ETES model", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.3389/feart.2021.729282"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Earth%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/feart.2021.729282", "name": "item", "description": "10.3389/feart.2021.729282", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/feart.2021.729282"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-09-07T00:00:00Z"}}, {"id": "30677949", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:30:08Z", "type": "Journal Article", "created": "2018-12-07", "title": "Vineyards in transition: A global assessment of the adaptation needs of grape producing regions under climate change", "description": "This paper suggests how climate change may transform vineyards. We consider changes in agro-climatic indicators derived from climatic variables as drivers for adaptation needs. We use two climate scenarios, GCM GFL-ESM2M and HadGEM2-ES, with 0.5\u00b0 spatial resolution and daily time step forced by two emission scenarios, RCP2.6 and 6.0, to estimate the transition of potential vineyards in the major grape production world areas by the late 21st century. We present and discuss changes in three impact indicators - one drought indicator and two temperature ones - aimed at exploring the benefits of transition-based policies. The drought indicator provides insights to prepare adaptation for extreme events in probabilistic terms. The temperature indicators offer information on the transition towards suitable zones of production. Future projections suggest a lack of water to maintain current levels of production in all regions of the world. Furthermore, thermal suitability of grapevine may be greatly affected in China and the Mediterranean region. Nevertheless, the possibility of quality wines is not altered within the regions with adequate suitability. Lastly, a portfolio of strategies to adapt to the future climate is presented.", "keywords": ["[SDE] Environmental Sciences", "0301 basic medicine", "2. Zero hunger", "China", "Models", " Statistical", "Mediterranean Region", "Climate Change", "Oceania", "Temperature", "Agriculture", "South America", "15. Life on land", "01 natural sciences", "Droughts", "South Africa", "03 medical and health sciences", "13. Climate action", "[SDE]Environmental Sciences", "North America", "Vitis", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/30677949"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20of%20The%20Total%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "30677949", "name": "item", "description": "30677949", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/30677949"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-03-01T00:00:00Z"}}, {"id": "2905144705", "type": "Feature", "geometry": null, "properties": {"license": "Closed Access", "updated": "2026-06-26T16:29:51Z", "type": "Journal Article", "created": "2018-12-07", "title": "Vineyards in transition: A global assessment of the adaptation needs of grape producing regions under climate change", "description": "This paper suggests how climate change may transform vineyards. We consider changes in agro-climatic indicators derived from climatic variables as drivers for adaptation needs. We use two climate scenarios, GCM GFL-ESM2M and HadGEM2-ES, with 0.5\u00b0 spatial resolution and daily time step forced by two emission scenarios, RCP2.6 and 6.0, to estimate the transition of potential vineyards in the major grape production world areas by the late 21st century. We present and discuss changes in three impact indicators - one drought indicator and two temperature ones - aimed at exploring the benefits of transition-based policies. The drought indicator provides insights to prepare adaptation for extreme events in probabilistic terms. The temperature indicators offer information on the transition towards suitable zones of production. Future projections suggest a lack of water to maintain current levels of production in all regions of the world. Furthermore, thermal suitability of grapevine may be greatly affected in China and the Mediterranean region. Nevertheless, the possibility of quality wines is not altered within the regions with adequate suitability. Lastly, a portfolio of strategies to adapt to the future climate is presented.", "keywords": ["[SDE] Environmental Sciences", "2. Zero hunger", "0301 basic medicine", "China", "Models", " Statistical", "Mediterranean Region", "Climate Change", "Oceania", "Temperature", "Agriculture", "South America", "15. Life on land", "01 natural sciences", "Droughts", "South Africa", "03 medical and health sciences", "13. Climate action", "[SDE]Environmental Sciences", "North America", "Vitis", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/2905144705"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20of%20The%20Total%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2905144705", "name": "item", "description": "2905144705", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2905144705"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-03-01T00:00:00Z"}}, {"id": "2753196607", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:29:44Z", "type": "Journal Article", "created": "2017-09-01", "title": "Portfolio optimization for seed selection in diverse weather scenarios", "description": "The aim of this work was to develop a method for selection of optimal soybean varieties for the American Midwest using data analytics. We extracted the knowledge about 174 varieties from the dataset, which contained information about weather, soil, yield and regional statistical parameters. Next, we predicted the yield of each variety in each of 6,490 observed subregions of the Midwest. Furthermore, yield was predicted for all the possible weather scenarios approximated by 15 historical weather instances contained in the dataset. Using predicted yields and covariance between varieties through different weather scenarios, we performed portfolio optimisation. In this way, for each subregion, we obtained a selection of varieties, that proved superior to others in terms of the amount and stability of yield. According to the rules of Syngenta Crop Challenge, for which this research was conducted, we aggregated the results across all subregions and selected up to five soybean varieties that should be distributed across the network of seed retailers. The work presented in this paper was the winning solution for Syngenta Crop Challenge 2017.", "keywords": ["Crops", " Agricultural", "2. Zero hunger", "Models", " Statistical", "Glycine max", "Science", "Climate Change", "Q", "R", "Uncertainty", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "Portfolio optimisation", "Yield prediction", "Midwestern United States", "03 medical and health sciences", "0302 clinical medicine", "Seeds", "Medicine", "Regression Analysis", "0401 agriculture", " forestry", " and fisheries", "data analytics", "Weather", "Research Article"]}, "links": [{"href": "https://doi.org/2753196607"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PLOS%20ONE", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2753196607", "name": "item", "description": "2753196607", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2753196607"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-09-01T00:00:00Z"}}, {"id": "37454447", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:30:38Z", "type": "Journal Article", "created": "2023-07-14", "title": "Predicting spatiotemporal soil organic carbon responses to management using EPIC-IIASA meta-models", "description": "The management of Soil Organic Carbon (SOC) is a critical component of both nature-based solutions for climate change mitigation and global food security. Agriculture has contributed substantially to a reduction in global SOC through cultivation, thus there has been renewed focus on management practices which minimize SOC losses and increase SOC gain as pathways towards maintaining healthy soils and reducing net greenhouse gas emissions. Mechanistic models are frequently used to aid in identifying these pathways due to their scalability and cost-effectiveness. Yet, they are often computationally costly and rely on input data that are often only available at coarse spatial resolutions. Herein, we build statistical meta-models of a multifactorial crop model in order to both (a) obtain a simplified model response and (b) explore the biophysical determinants of SOC responses to management and the geospatial heterogeneity of SOC dynamics across Europe. Using 5600 unique simulations of crop growth from the gridded Environmental Policy Integrated Climate-based Gridded Agricultural Model (EPIC-IIASA GAM) covering 86,000 simulation units across Europe, we build multiple polynomial regression ensemble meta-models for unique combinations of climate and soil across Europe in order to predict SOC responses to varying management intensities. We find that our biophysically-explicit meta models are highly accurate (R2\u00a0=\u00a00.97) representations of the full mechanistic model and can be used in lieu of the full EPIC-IIASA GAM model for the estimation of SOC responses to cropland management. Model stratification by means of climate and soil clustering improved the performance of the meta-models compared to the full EU-scale model. In regional and local validations of the meta-model predictions, we find that the meta-models largely capture broad SOC dynamics such as the linear nature of SOC responses to residue application, yet they often underestimate the magnitude of SOC responses to management. Furthermore, we find notable differences between the results from the biophysically-specific models throughout Europe, which point to spatially-distinct SOC responses to management choices such as nitrogen fertilizer application rates and residue retention that illustrate the potential for these models to be used for future management applications. While more accurate input data, calibration, and validation will be needed to accurately predict SOC change, we demonstrate the use of our meta-models for biophysical cluster and field study scale analyses of broad SOC dynamics with basically zero fine-tuning of the models needed. This work provides a framework for simplifying large-scale agricultural models and identifies the opportunities for using these meta-models for assessing SOC responses to management at a variety of scales.", "keywords": ["2. Zero hunger", "Europe", "Soil", "Carbon Sequestration", "Models", " Statistical", "550", "13. Climate action", "11. Sustainability", "Agriculture", "15. Life on land", "630", "Carbon"]}, "links": [{"href": "https://pure.iiasa.ac.at/id/eprint/18928/1/Ippolito_et_al_manuscript_clean.pdf"}, {"href": "https://doi.org/37454447"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Environmental%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "37454447", "name": "item", "description": "37454447", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/37454447"}, {"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": "PMC5580993", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:33:13Z", "type": "Journal Article", "created": "2017-09-01", "title": "Portfolio optimization for seed selection in diverse weather scenarios", "description": "The aim of this work was to develop a method for selection of optimal soybean varieties for the American Midwest using data analytics. We extracted the knowledge about 174 varieties from the dataset, which contained information about weather, soil, yield and regional statistical parameters. Next, we predicted the yield of each variety in each of 6,490 observed subregions of the Midwest. Furthermore, yield was predicted for all the possible weather scenarios approximated by 15 historical weather instances contained in the dataset. Using predicted yields and covariance between varieties through different weather scenarios, we performed portfolio optimisation. In this way, for each subregion, we obtained a selection of varieties, that proved superior to others in terms of the amount and stability of yield. According to the rules of Syngenta Crop Challenge, for which this research was conducted, we aggregated the results across all subregions and selected up to five soybean varieties that should be distributed across the network of seed retailers. The work presented in this paper was the winning solution for Syngenta Crop Challenge 2017.", "keywords": ["Crops", " Agricultural", "2. Zero hunger", "Models", " Statistical", "Glycine max", "Science", "Climate Change", "Q", "R", "Uncertainty", "Agriculture", "04 agricultural and veterinary sciences", "15. 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