{"type": "FeatureCollection", "features": [{"id": "10.1002/hyp.14451", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:13:59Z", "type": "Journal Article", "created": "2021-12-11", "title": "Hydrological responses to rainfall events including the extratropical cyclone Gloria in two contrasting Mediterranean headwaters in Spain; the perennial font del Reg\u00e0s and the intermittent Fuirosos", "description": "Abstract<p>Catchment hydrological responses to precipitation inputs, particularly during exceptionally large storms, are complex and variable, and our understanding of the associated runoff generation processes during those events is limited. Hydrological monitoring of climatically and hydrologically distinct catchments can help to improve this understanding by shedding light on the interplay between antecedent soil moisture conditions, hydrological connectivity, and rainfall event characteristics. This knowledge is urgently needed considering that both the frequency and magnitude of extreme precipitation events are increasing worldwide as a consequence of climate change. In autumn 2018, we installed water level sensors to monitor stream water and near\uffe2\uff80\uff90stream groundwater levels at two Mediterranean forest headwater catchments with contrasting hydrological regimes: Font del Reg\uffc3\uffa0s (sub\uffe2\uff80\uff90humid climate, perennial flow regime) and Fuirosos (semi\uffe2\uff80\uff90arid climate, intermittent flow regime). Both catchments are located in northeastern Spain, where the extratropical cyclone Gloria hit in January 2020 and left in ca. 65\uffe2\uff80\uff89h outstanding accumulated rainfalls of 424\uffe2\uff80\uff89mm in Font del Reg\uffc3\uffa0s and 230\uffe2\uff80\uff89mm in Fuirosos. During rainfall events of low mean intensity, hydrological responses to precipitation inputs at the semi\uffe2\uff80\uff90arid Fuirosos were more delayed and more variable than at the sub\uffe2\uff80\uff90humid Font del Reg\uffc3\uffa0s. We explain these divergences by differences in antecedent soil moisture conditions and associated differences in catchment hydrological connectivity between the two catchments, which in this case are likely driven by differences in local climate rather than by differences in local topography. In contrast, during events of moderate and high mean rainfall intensities, including the storm Gloria, precipitation inputs and hydrological responses correlated similarly in the two catchments. We explain this convergence by rapid development of hydrological connectivity independently of antecedent soil moisture conditions. The data set presented here is unique and contributes to our mechanistic understanding on how streams respond to rainfall events and exceptionally large storms in catchments with contrasting flow regimes.</p>", "keywords": ["info:eu-repo/classification/ddc/550", "550", "ddc:550", "rainfall intensity", "climate extreme", "15. Life on land", "551", "extreme hydrological event", "01 natural sciences", "6. Clean water", "antecedent soil moisture conditions", "Earth sciences", "13. Climate action", "heavy rainfall", "Mediterranean climate", "catchment hydrological connectivity", "environmental monitoring", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1002/hyp.14451"}, {"href": "https://doi.org/10.1002/hyp.14451"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrological%20Processes", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/hyp.14451", "name": "item", "description": "10.1002/hyp.14451", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/hyp.14451"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-01T00:00:00Z"}}, {"id": "10.1088/1748-9326/aa7145", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:18:10Z", "type": "Journal Article", "created": "2017-05-05", "title": "Vegetation anomalies caused by antecedent precipitation in most of the world", "description": "Quantifying environmental controls on vegetation is critical to predict the net effect of climate change on global ecosystems and the subsequent feedback on climate. Following a non-linear Granger causality framework based on a random forest predictive model, we exploit the current wealth of multi-decadal satellite data records to uncover the main drivers of monthly vegetation variability at the global scale. Results indicate that water availability is the most dominant factor driving vegetation globally: about 61% of the vegetated surface was primarily water-limited during 1981\u20132010. This included semiarid climates but also transitional ecoregions. Intra-annually, temperature controls Northern Hemisphere deciduous forests during the growing season, while antecedent precipitation largely dominates vegetation dynamics during the senescence period. The uncovered dependency of global vegetation on water availability is substantially larger than previously reported. This is owed to the ability of the framework to (1) disentangle the co-linearities between radiation/temperature and precipitation, and (2) quantify non-linear impacts of climate on vegetation. Our results reveal a prolonged effect of precipitation anomalies in dry regions: due to the long memory of soil moisture and the cumulative, non-linear, response of vegetation, water-limited regions show sensitivity to the values of precipitation occurring three months earlier. Meanwhile, the impacts of temperature and radiation anomalies are more immediate and dissipate shortly, pointing to a higher resilience of vegetation to these anomalies. Despite being infrequent by definition, hydro-climatic extremes are responsible for up to 10% of the vegetation variability during the 1981\u20132010 period in certain areas, particularly in water-limited ecosystems. Our approach is a first step towards a quantitative comparison of the resistance and resilience signature of different ecosystems, and can be used to benchmark Earth system models in their representations of past vegetation sensitivity to changes in climate.", "keywords": ["Science", "QC1-999", "water", "TROPICAL FORESTS", "0207 environmental engineering", "02 engineering and technology", "SOIL-MOISTURE", "Environmental technology. Sanitary engineering", "01 natural sciences", "stress", "water stress", "global vegetation", "AMAZON", "FORESTS", "CLIMATE EXTREMES", "hydro-climatic extremes", "ecosystem resilience", "DRY-SEASON", "GE1-350", "TEMPERATURE", "SATELLITE", "TD1-1066", "0105 earth and related environmental sciences", "Physics", "Q", "Biology and Life Sciences", "15. Life on land", "6. Clean water", "Environmental sciences", "NDVI DATA", "13. Climate action", "Earth and Environmental Sciences", "GROWING-SEASON", "Granger causality", "CARBON-CYCLE"]}, "links": [{"href": "https://doi.org/10.1088/1748-9326/aa7145"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Research%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1088/1748-9326/aa7145", "name": "item", "description": "10.1088/1748-9326/aa7145", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1088/1748-9326/aa7145"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-07-01T00:00:00Z"}}, {"id": "10.1073/pnas.2309881120", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:17:55Z", "type": "Journal Article", "created": "2024-01-08", "title": "Extreme drought impacts have been underestimated in grasslands and shrublands globally", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Climate change is increasing the frequency and severity of short-term (~1 y) drought events\u2014the most common duration of drought\u2014globally. Yet the impact of this intensification of drought on ecosystem functioning remains poorly resolved. This is due in part to the widely disparate approaches ecologists have employed to study drought, variation in the severity and duration of drought studied, and differences among ecosystems in vegetation, edaphic and climatic attributes that can mediate drought impacts. To overcome these problems and better identify the factors that modulate drought responses, we used a coordinated distributed experiment to quantify the impact of short-term drought on grassland and shrubland ecosystems. With a standardized approach, we imposed ~a single year of drought at 100 sites on six continents. Here we show that loss of a foundational ecosystem function\u2014aboveground net primary production (ANPP)\u2014was 60% greater at sites that experienced statistically extreme drought (1-in-100-y event) vs. those sites where drought was nominal (historically more common) in magnitude (35% vs. 21%, respectively). This reduction in a key carbon cycle process with a single year of extreme drought greatly exceeds previously reported losses for grasslands and shrublands. Our global experiment also revealed high variability in drought response but that relative reductions in ANPP were greater in drier ecosystems and those with fewer plant species. Overall, our results demonstrate with unprecedented rigor that the global impacts of projected increases in drought severity have been significantly underestimated and that drier and less diverse sites are likely to be most vulnerable to extreme drought.</p></article>", "keywords": ["[SDE] Environmental Sciences", "Medical Sciences", "Drought Severity", "550", "580 Plants (Botany)", "551", "Tierras de Matorral", "Medical Specialties", "Medicine and Health Sciences", "SDG 13 - Climate Action", "climate extreme | Drought-Net | International Drought Experiment | productivity", "Productividad Primaria Neta", "Net Primary Productivity", "Productivity", "2. Zero hunger", "Praderas", "Productividad", "Life Sciences", "Biological Sciences", "Grassland", "6. Clean water", "Droughts", "Grasslands", "[SDE]Environmental Sciences", "Drought-Net", "Public Health", "International Drought Experiment", "Ciclo del Carbono", "Severidad de la Sequ\u00eda", "Global Impacts", "productivity", "Climate Change", "climate extreme", "333", "Carbon Cycle", "Environmental Public Health", "XXXXXX - Unknown", "Impacto Global", "Scrublands", "General", "Biology", "Ecosystem", "Experimento internacional de Sequ\u00eda", "500", "Receptor Protein-Tyrosine Kinases", "15. Life on land", "Clima Extremo", "Climate Science", "13. Climate action", "Cambio Clim\u00e1tico", "Extreme Climate", "Climate extreme", "Klimatvetenskap"]}, "links": [{"href": "https://boris.unibe.ch/191349/1/smith-et-al-2024-extreme-drought-impacts-have-been-underestimated-in-grasslands-and-shrublands-globally.pdf"}, {"href": "https://escholarship.org/content/qt9b707158/qt9b707158.pdf"}, {"href": "https://doi.org/10.1073/pnas.2309881120"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Proceedings%20of%20the%20National%20Academy%20of%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1073/pnas.2309881120", "name": "item", "description": "10.1073/pnas.2309881120", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1073/pnas.2309881120"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-08T00:00:00Z"}}, {"id": "10.1088/1748-9326/abe0eb", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:18:10Z", "type": "Journal Article", "created": "2021-01-28", "title": "Recent increasing frequency of compound summer drought and heatwaves in Southeast Brazil", "description": "Abstract                <p>An increase in the frequency of extremely hot and dry events has been experienced over the past few decades in South America, and particularly in Brazil. Regional climate change projections indicate a future aggravation of this trend. However, a comprehensive characterization of drought and heatwave compound events, as well as of the main land\uffe2\uff80\uff93atmosphere mechanisms involved, is still lacking for most of South America. This study aims to fill this gap, assessing for the first time the historical evolution of compound summer drought and heatwave events for the heavily populated region of Southeast Brazil and for the period of 1980\uffe2\uff80\uff932018. The main goal is to undertake a detailed analysis of the surface and synoptic conditions, as well as of the land\uffe2\uff80\uff93atmosphere coupling processes that led to the occurrence of individual and compound dry and hot extremes. Our results confirm that the S\uffc3\uffa3o Paulo, Rio de Janeiro and Minas Gerais states have recorded pronounced and statistically significant increases in the number of compound summer drought and heatwave episodes. In particular, the last decade was characterized by two austral summer seasons (2013/14 and 2014/15) with outstanding concurrent drought and heatwave conditions stemmed by severe precipitation deficits and a higher-than-average occurrence of blocking patterns. As result of these land and atmosphere conditions, a high coupling (water-limited) regime was imposed, promoting the re-amplification of hot spells that resulted in mega heatwave episodes. Our findings reveal a substantial contribution of persistent dry conditions to heatwave episodes, highlighting the vulnerability of the region to climate change.</p>", "keywords": ["heatwaves", "Sustainability and the Environment", "droughts", "Science", "Physics", "QC1-999", "Environmental and Occupational Health", "Q", "15. Life on land", "Environmental technology. Sanitary engineering", "01 natural sciences", "6. Clean water", "Southeast Brazil", "Environmental sciences", "13. Climate action", "Earth and Environmental Sciences", "compound events", "GE1-350", "Renewable Energy", "Public Health", "TD1-1066", "General Environmental Science", "climate extremes", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1088/1748-9326/abe0eb"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Research%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1088/1748-9326/abe0eb", "name": "item", "description": "10.1088/1748-9326/abe0eb", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1088/1748-9326/abe0eb"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-02-25T00:00:00Z"}}, {"id": "10.1111/1365-2745.12593", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:18:26Z", "type": "Journal Article", "created": "2016-04-22", "title": "Drought History Affects Grassland Plant And Microbial Carbon Turnover During And After A Subsequent Drought Event", "description": "Summary<p>   <p>Drought periods are projected to become more severe and more frequent in many European regions. While effects of single strong droughts on plant and microbial carbon (C) dynamics have been studied in some detail, impacts of recurrent drought events are still little understood.</p>  <p>We tested whether the legacy of extreme experimental drought affects responses of plant and microbial C and nitrogen (N) turnover to further drought and rewetting. In a mountain grassland, we conducted a 13C pulse\uffe2\uff80\uff90chase experiment during a naturally occurring drought and rewetting event in plots previously exposed to experimental droughts and in ambient controls (AC). After labelling, we traced 13C below\uffe2\uff80\uff90ground allocation and incorporation into soil microbes using phospholipid fatty acid biomarkers.</p>  <p>Drought history (DH) had no effects on the standing shoot and fine root plant biomass. However, plants with experimental DH displayed decreased shoot N concentrations and increased fine root N concentrations relative to those in AC. During the natural drought, plants with DH assimilated and allocated less 13C below\uffe2\uff80\uff90ground; moreover, fine root respiration was reduced and not fuelled by fresh C compared to plants in AC.</p>  <p>Regardless of DH, microbial biomass remained stable during natural drought and rewetting. Although microbial communities initially differed in their composition between soils with and without DH, they responded to the natural drought and rewetting in a similar way: gram\uffe2\uff80\uff90positive bacteria increased, while fungal and gram\uffe2\uff80\uff90negative bacteria remained stable. In soils with DH, a strongly reduced uptake of recent plant\uffe2\uff80\uff90derived 13C in microbial biomarkers was observed during the natural drought, pointing to a smaller fraction of active microbes or to a microbial community that is less dependent on plant C.</p>  <p>Synthesis. Drought history can induce changes in above\uffe2\uff80\uff90 vs. below\uffe2\uff80\uff90ground plant N concentrations and affect the response of plant C turnover to further droughts and rewetting by decreasing plant C uptake and below\uffe2\uff80\uff90ground allocation. DH does not affect the responses of the microbial community to further droughts and rewetting, but alters microbial functioning, particularly the turnover of recent plant\uffe2\uff80\uff90derived carbon, during and after further drought periods.</p>  </p>", "keywords": ["0301 basic medicine", "plant-soil (below-ground) interactions", "NITROGEN TURNOVER", "Biomass Allocation", "microbial community composition", "Negibacteria", "drought", "phospholipid fatty acid", "nitrogen", "Microbial community composition", "Plant\u2013Soil (Below\u2010ground) Interactions", "Recovery", "ROOT RESPIRATION", "Plant-soil (below-ground) interactions", "CLIMATE EXTREMES", "C pulse labelling", "Below-ground carbon allocation", "2. Zero hunger", "106022 Mikrobiologie", "0303 health sciences", "SOIL INTERACTIONS", "below-ground carbon allocation", "C-13 pulse labelling", "Grassland", "6. Clean water", "Europe", "Phospholipid", "ORGANIC-MATTER", "Mountain Region", "Posibacteria", "DIOXIDE PULSES", "Phospholipid fatty acid", "106022 Microbiology", "Root/shoot Ratio", "Belowground Biomass", "Ecosystem Resilience", "Nitrogen", "Microbial Community", "Carbon Isotope", "Soil-vegetation Interaction", "recovery", "SUMMER DROUGHT", "03 medical and health sciences", "Rewetting", "Community Composition", "plant\u2013soil (below-ground) interactions", "WATER-STRESS", "resilience", "Drought", "Resilience", "RESILIENCE", "15. Life on land", "Turnover", "Microbial Activity", "13. Climate action", "Fatty Acid", "RESPONSES"]}, "links": [{"href": "https://doi.org/10.1111/1365-2745.12593"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Ecology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/1365-2745.12593", "name": "item", "description": "10.1111/1365-2745.12593", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/1365-2745.12593"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-05-24T00:00:00Z"}}, {"id": "10.1111/nyas.13912", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:18:57Z", "type": "Journal Article", "created": "2018-06-26", "title": "Land-atmospheric feedbacks during droughts and heatwaves: state of the science and current challenges", "description": "Abstract<p>Droughts and heatwaves cause agricultural loss, forest mortality, and drinking water scarcity, especially when they occur simultaneously as combined events. Their predicted increase in recurrence and intensity poses serious threats to future food security. Still today, the knowledge of how droughts and heatwaves start and evolve remains limited, and so does our understanding of how climate change may affect them. Droughts and heatwaves have been suggested to intensify and propagate via land\uffe2\uff80\uff93atmosphere feedbacks. However, a global capacity to observe these processes is still lacking, and climate and forecast models are immature when it comes to representing the influences of land on temperature and rainfall. Key open questions remain in our goal to uncover the real importance of these feedbacks: What is the impact of the extreme meteorological conditions on ecosystem evaporation? How do these anomalies regulate the atmospheric boundary layer state (event self\uffe2\uff80\uff90intensification) and contribute to the inflow of heat and moisture to other regions (event self\uffe2\uff80\uff90propagation)? Can this knowledge on the role of land feedbacks, when available, be exploited to develop geo\uffe2\uff80\uff90engineering mitigation strategies that prevent these events from aggravating during their early stages? The goal of our perspective is not to present a convincing answer to these questions, but to assess the scientific progress to date, while highlighting new and innovative avenues to keep advancing our understanding in the future.</p>", "keywords": ["Hot Temperature", "Climate Change", "drought", "SOIL-MOISTURE", "01 natural sciences", "CARBON-DIOXIDE", "heatwave", "SURFACE EVAPORATION", "CLIMATE EXTREMES", "Humans", "drought; heatwave; land feedback; land\u2013atmospheric interactions", "land feedback", "land\u2013atmospheric interactions", "SAHEL CLIMATE", "Ecosystem", "HEAT-WAVE", "0105 earth and related environmental sciences", "2. Zero hunger", "Agriculture", "Models", " Theoretical", "15. Life on land", "FOREST", "6. Clean water", "Droughts", "SUMMER", "WATER-VAPOR", "13. Climate action", "Earth and Environmental Sciences", "land-atmospheric interactions", "GRASSLAND ENERGY-EXCHANGE", "Perspectives"]}, "links": [{"href": "https://nyaspubs.onlinelibrary.wiley.com/doi/pdf/10.1111/nyas.13912"}, {"href": "https://doi.org/10.1111/nyas.13912"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Annals%20of%20the%20New%20York%20Academy%20of%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/nyas.13912", "name": "item", "description": "10.1111/nyas.13912", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/nyas.13912"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-06-25T00:00:00Z"}}, {"id": "10.5061/dryad.d7wm37q28", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:21:26Z", "type": "Dataset", "title": "Limited legacy effects of extreme multi-year drought on carbon and nitrogen cycling in a mesic grassland", "description": "unspecified<em>Study Site and Climate Conditions</em>  This study was conducted during the growing seasons (May \u2013  August) of 2018 and 2019 at the Konza Prairie Biological Station, a  native, tallgrass prairie research site located in the Flint Hills of  northeastern Kansas (39.09\u00ba N, 96.48\u00ba W). The climate consists of warm,  wet summers and dry, cold winters. Mean annual precipitation is ~835 mm  with ~75% of rainfall occurring during the growing season (April \u2013  September). Annual precipitation for the two years of the study was 811 mm  in 2018 and 971 mm in 2019, with ~64% and 75% of the precipitation  occurring during the growing season in each year, respectively (Figure  S1). For this study, we utilized a large-scale, well-replicated drought  experiment (the Extreme Drought in Grasslands Experiment, EDGE) that was  established in 2013 in an annually burned and ungrazed native tallgrass  prairie site. The site was located on a flat, level upland with relatively  deep (~1 m or more), well-drained clay loam soils characterized as silty  clay Mollisols. <em>Experimental  Design</em> The EDGE experiment imposed drought  in two ways from 2014-2017 using large rainfall exclusion shelters (n = 20  total), each 6 x 6 m in size and hydrologically isolated to a depth of ~1  m (see Griffin-Nolan et al. 2019 for more details). For the chronic  drought treatment, 10 shelters were covered with strips of clear  corrugated polycarbonate spaced so as to reduce each growing season  rainfall event by 66% (April \u2013 September). For the intense drought  treatment, the remaining 10 shelters were completely covered with panels  of clear corrugated polycarbonate to exclude all rainfall events with no  precipitation entering the intense treatment plots until a similar amount  of total growing season rainfall was excluded as the chronic treatment  (May \u2013 July), resulting in a shorter, but more intense reduction in  rainfall. \u00a0Both drought treatments resulted in a ~45% reduction in annual  rainfall. Shelter roofs were put in place in May each year for both  drought treatments. Roofs were removed each year in early Sept for the  chronic treatment, while they were removed after a similar amount of  rainfall was reduced in the intense treatment; this was typically reached  after ~ 2 months of the panels being installed (typically May \u2013 July). The  control treatment plots were unsheltered (n = 10), but still  hydrologically isolated and received ambient rainfall throughout the  growing season. The three treatments were arranged in blocks, each  containing a replicate of each treatment, for a total of 10 blocks (n = 30  plots). To assess post-drought legacy effects on C and  N cycling, we removed the shelters after the four years of drought  treatments and allowed ambient rainfall to fall onto all of the treatments  in 2018 and 2019 (the first two years following drought). This allowed us  to measure whether legacy effects were present and whether recovery  occurred. <em>Soil Sampling\u00a0  </em> In 2018 and 2019, we collected soils  monthly throughout the growing season (late May, early July, and  mid-August) to measure soil C and N cycling. We homogenized four random  soil core samples (15 cm depth x 5.7 cm diameter) collected from each  \u201cdestructive plot\u201d as detailed in Griffin-Nolan et al. (2019). The samples  were immediately placed on ice and sieved to 2 mm within 24 hours. A  subsample of these soils was kept fresh and unfrozen for laboratory-based  microbial respiration measurements. The rest of the soil was transferred  to a -20\u00b0C freezer until further analysis for all other non-in situ  measurements. All analyses on frozen soils were performed within a year  after collection. <em>Soil  Moisture</em> We measured soil moisture in both  the field and the lab to assess if soil moisture exhibited any legacies as  a mechanism for the reponses we measured. We used a hand-held TDR to  measure in-situ soil moisture to a depth of 15 cm at each time of soil  sampling. We additionally dried field-collected soil (the same soil used  to measure nutrients) for 48 hours at 60\u00b0C to calculate moisture and soil  wet soil/dry conversion factors for subsequent nutrient and enzyme  analyses. <em>Soil Nutrient Fluxes and Pools  </em> To characterize legacy effects of drought  on C and N cycling, we measured in situ belowground respiration, lab-based  soil microbial respiration, extractable inorganic N (ammonium and  nitrate), extractable total dissolved organic C and N, in situ net N  mineralization, and total soil organic C and N concentrations to measure  main components of C and N cycling. Belowground  respiration was measured in situ using a Li-Cor 8100 infrared gas sampler  (Lincoln, Nebraska). Two PVC collars were installed in each plot to a 6 cm  depth and left in the field for the duration of the growing season. All  biomass and living plants were removed from the collars at the beginning  of the season and prior to every measurement. We then used a Li-Cor 8100  infrared gas sampler to measure CO<sub>2</sub> flux from the  soil over a 60 second interval. Measurements were taken midday and during  sunny and non-windy conditions to ensure uniform conditions for each  measurement. Measurements were taken monthly in 2018 and weekly in 2019.  More detailed methods can be found in Slette et al. (2021).  To measure soil microbial respiration in the lab, we placed 30  grams of sieved, fresh soil (the fresh unfrozen subsample; extracted from  the field &lt; 24 hours prior) from each plot in a sealable mason-jar  (8 cm wide x 15 cm deep). We kept the soils at the same moisture from the  field by sealing the soils in plastic bags and sealing the jars  immediately after adding the soil. We measured microbial respiration once  within 24 hours of extracting soil by opening the jars to allow  re-equilibration with ambient CO<sub>2</sub> and then  re-sealing the jars for 1-2 hours to measure accumulated headspace  CO<sub>2</sub>. Respiration was then quantified as detailed in  Zeglin and Myrold (2013). To measure extractable  inorganic N, we extracted ammonium and nitrate from the previously frozen  soil subset collected monthly. We shook 11 g of thawed field-moist soil  with 1M KCl for 1 hour and then filtered the samples using Whatman filters  (grade 42 \u2013 2.5 mm filter). We then froze the extracts in a -20\u00b0C freezer  until analysis. Extractable N was expressed on a per gram soil dry weight  basis. To measure net N mineralization, a twelve-centimeter deep PVC tube  (3.81 cm diameter) with the top two centimeters above ground was pounded  into the ground next to the initial soil cores taken on the same date. The  PVC tubes were capped, with holes in the aboveground portion of the tubes  for gas exchange, and left in place for ~30 days. Cores were retrieved at  the end of the incubation interval, then sieved within 24 hours, frozen in  a -20\u00b0C freezer, and later extracted with 1 M KCl using the methods above.  We used an Alpkem analyzer to measure extractable ammonium and nitrate on  all KCl extracts (Saskatoon, SK). Net N mineralization was measured as the  difference between extractable inorganic N in the initial and final cores.  This was then divided by the days the cores were left in the field to  calculate a daily rate. To measure total dissolved  organic C (DOC) and N (DON), we extracted 20 g field-moist subsamples of  the previously frozen soil with 100 mL of 0.5M  K<sub>2</sub>SO<sub>4</sub>. We shook the soils  for four hours and filtered the samples using Whatman 42 filters, \u00a0then  froze the extracts in a -20\u00b0C freezer. We used a Schimadzu TOC-L analyzer  (Kyoto, Japan) to measure DOC and DON. To measure total  C and N, we oven dried the soils at 60\u00b0C for several days until the soil  was deplete of any moisture. The soils were then ground and analyzed for  total C and N in a LECO TruSpec CN combustion analyzer (St. Joseph, MI) at  the KSU Soil Testing Lab. <em>Extracellular  Enzyme Activity</em> We measured the potential  extracellular enzyme activities of several microbially-produced enzymes as  an index of nutrient limitation. We measured C-cleaving enzymes:  a-Glucosidase (AG), b-Glucosidase (BG), b-D-cellulosidase (CB), and  b-Xylosidase (XYL); N-cleaving enzymes: N-acetyl glucosaminidase (NAG) and  leucyl aminopeptidase (LAP); and phosphorus-cleaving enzymes: phosphatase  (PHOS). Substrates for each enzyme were attached to a highly fluorescent  cleavage product. The substrates for AG, BG, CB, XYL, NAG, and PHOS were  attached to 4-methylumbelliferyl (MUB), and the substrate for LAP was  attached to 7-amino-4-methylcoumarin (MUC). We added a Tris buffer  adjusted to a pH of 8 to our soils to create a soil slurry and shook our  samples for 40 minutes. We then added our samples to a 96 well-plate and  added substrates to our soil slurries with two replicates per sample.  Additionally, we created MUB and MUC standard curves for each individual  soil. To simulate standard soil conditions, the plates were incubated for  3 hours in the dark at 25\u00b0C. Fluorescence was measured using a multiplate  reader (Tecan Infinite M200 plate reader, Switzerland) with a 365-nm  excitation and 460-nm emission filters. A quench control was used. More  detailed methods can be found in Bell et al. (2013) and Trivedi et al.  (2016). We summed the C enzymes for total C enzyme activity and the N  enzymes for total N enzyme activity (Bell et al., 2013; Dove et al.,  2020). <em>Statistical  Analyses</em> To compare treatments across each  year\u2019s growing season, we calculated confidence intervals and standard  error using mixed models that accounted for repeated measures over the  growing season (monthly sampling). We conducted separate statistical  analyses for 2018 and 2019 due to the different climatic conditions of the  two years. Further discussion of why the two years were split can be found  in results 3.1. Our mixed model contained both fixed and random effects.  Time and treatment were both fixed variables with an interaction term to  account for the repeated measures aspect of this experiment (lme4  package). As mentioned previously, our experiment had a blocked design.  Blocks were treated as a random variable except for some models where we  had to treat block as a fixed variable. In our 2018 enzyme analysis, we  ran into a problem of overfitting due to block variance being estimated as  zero in the model. To correct this overfitting, we treated block as a  fixed effect and used this model to draw conclusions. Additionally, we  applied a natural log conversion to all enzyme activity data due to  unequal variances detected from the residual vs. fitted plot of the  original non-transformed models. For the belowground respiration models,  we included soil moisture as a covariate, since soil moisture has strong  effects on belowground respiration. Further, we calculated correlation  coefficients for soil moisture and belowground respiration in both years.  For all statistical analyses, we utilized R statistical software (R Core  Team, 2013) and used several packages including lme4, lmerTest, pbkrtest,  emmeans, and GGally. We also used R to create the graphics for this paper  using ggplot2 and Hmisc to create 95% confidence intervals for each  graphic.", "keywords": ["2. Zero hunger", "13. Climate action", "FOS: Biological sciences", "15. Life on land", "Post-drought period", "climate extreme", "6. Clean water", "legacy effects", "biogeochemical cycling"], "contacts": [{"organization": "Vilonen, Leena, Blair, John, Trivedi, Pankaj, Zeglin, Lydia, Smith, Melinda,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.d7wm37q28"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.d7wm37q28", "name": "item", "description": "10.5061/dryad.d7wm37q28", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.d7wm37q28"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-21T00:00:00Z"}}, {"id": "1959.7/uws:76872", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:25:15Z", "type": "Journal Article", "created": "2024-01-08", "title": "Extreme drought impacts have been underestimated in grasslands and shrublands globally", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Climate change is increasing the frequency and severity of short-term (~1 y) drought events\u2014the most common duration of drought\u2014globally. Yet the impact of this intensification of drought on ecosystem functioning remains poorly resolved. This is due in part to the widely disparate approaches ecologists have employed to study drought, variation in the severity and duration of drought studied, and differences among ecosystems in vegetation, edaphic and climatic attributes that can mediate drought impacts. To overcome these problems and better identify the factors that modulate drought responses, we used a coordinated distributed experiment to quantify the impact of short-term drought on grassland and shrubland ecosystems. With a standardized approach, we imposed ~a single year of drought at 100 sites on six continents. Here we show that loss of a foundational ecosystem function\u2014aboveground net primary production (ANPP)\u2014was 60% greater at sites that experienced statistically extreme drought (1-in-100-y event) vs. those sites where drought was nominal (historically more common) in magnitude (35% vs. 21%, respectively). This reduction in a key carbon cycle process with a single year of extreme drought greatly exceeds previously reported losses for grasslands and shrublands. Our global experiment also revealed high variability in drought response but that relative reductions in ANPP were greater in drier ecosystems and those with fewer plant species. Overall, our results demonstrate with unprecedented rigor that the global impacts of projected increases in drought severity have been significantly underestimated and that drier and less diverse sites are likely to be most vulnerable to extreme drought.</p></article>", "keywords": ["[SDE] Environmental Sciences", "Medical Sciences", "Drought Severity", "550", "580 Plants (Botany)", "551", "Tierras de Matorral", "Medical Specialties", "Medicine and Health Sciences", "SDG 13 - Climate Action", "climate extreme | Drought-Net | International Drought Experiment | productivity", "Productividad Primaria Neta", "Net Primary Productivity", "Productivity", "2. Zero hunger", "Praderas", "Productividad", "Life Sciences", "Biological Sciences", "Grassland", "6. Clean water", "Droughts", "Grasslands", "[SDE]Environmental Sciences", "Drought-Net", "Public Health", "International Drought Experiment", "Ciclo del Carbono", "Severidad de la Sequ\u00eda", "Global Impacts", "productivity", "Climate Change", "climate extreme", "333", "Carbon Cycle", "Environmental Public Health", "XXXXXX - Unknown", "Impacto Global", "Scrublands", "General", "Biology", "Ecosystem", "Experimento internacional de Sequ\u00eda", "500", "Receptor Protein-Tyrosine Kinases", "15. Life on land", "Clima Extremo", "Climate Science", "13. Climate action", "Cambio Clim\u00e1tico", "Extreme Climate", "Climate extreme", "Klimatvetenskap"]}, "links": [{"href": "https://boris.unibe.ch/191349/1/smith-et-al-2024-extreme-drought-impacts-have-been-underestimated-in-grasslands-and-shrublands-globally.pdf"}, {"href": "https://escholarship.org/content/qt9b707158/qt9b707158.pdf"}, {"href": "https://doi.org/1959.7/uws:76872"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Proceedings%20of%20the%20National%20Academy%20of%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1959.7/uws:76872", "name": "item", "description": "1959.7/uws:76872", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1959.7/uws:76872"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-08T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=climate+extreme&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=climate+extreme&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": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=climate+extreme&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=climate+extreme&offset=8", "hreflang": "en-US"}], "numberMatched": 8, "numberReturned": 8, "distributedFeatures": [], "timeStamp": "2026-07-27T05:18:13.526352Z"}