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211 results for “ecosystem change”
Ecosystem responses to changes in climate and carbon dioxide in twelve mature ecosystems ranging from prairie to forest and from the arctic to the tropics
We use the Multiple Element Limitation (MEL) model to examine the responses of twelve ecosystems - from the arctic to the tropics and from grasslands to forests - to elevated carbon dioxide (CO2), warming, and 20% decreases or increases in annual precipitation. The ecosystems we simulated include moist acidic tundra, shrub tundra, and wet sedge tundra near Toolik Lake, Alaska, alpine dry meadow tundra near Niwot Ridge, Colorado, restored tallgrass prairie near Kellogg Biological Station, Michigan, native tallgrass prairie at the Konza Prairie, Kansas, upland and lowland boreal forest near Bonanza Creek, Alaska, temperate coniferous forest in HJ Andrews Experimental Forest, Oregon, a northern hardwood forest in Hubbard Brook Experimental Forest, New Hampshire, a transition oak-maple forest in Harvard Forest, Massachusetts, and lowland tropical rainforest near Caxiuanã National Forest, Pará, Brazil. For each of the twelve sites, we run six 100-year simulations beginning from the calibrated steady state (72 simulations total). The six simulations are: (1) increasing CO2 from 400 to 800 μmol mol-1, (2) warming from current temperatures to current plus 3.5oC, (3) decreasing precipitation from 100% to 80% of the current annual rate, (4) increasing precipitation from 100% to 120% of the current annual rate, (5) doubling of CO2, 3.5oC warming, and 20% decrease in precipitation, and (6) doubling of CO2, 3.5oC warming, and 20% increase in precipitation. This dataset consists of the MEL model Windows executable, the driver and parameter file for each site, and the output files for each of the six simulations listed above.
Global Climate Change Impacts on the Vegetation and Fauna of Mangrove Forested Ecosystems in Florida (FCE): Nekton Portion from March 2000 to April 2004
Depth is measured at 3 random locations within each net at time of set. All other variables (salinity, temperature, dissolved oxygen) are measured at the river bank adjacent to each net also at the time of set. Minimum and maximum values for sites were found to be: Salinity(ppt) = SRSMc-S2: 0.3-14.7, SRSMc-S3: 15.6-34.4, SRSMc-S4: 2.4-34; Water temp(degrees C)= SRSMc-S2: 22.2-31.5, SRSMc-S3: 16.6-31.1, SRSMc-S4: 21.1-30.6; DO(mg/l)= SRSMc-S2: 2.55-5.27, SRSMc-S3: 2.08-5.3, SRSMc-S4: 1.25-4.2; Mean depth(cm)= SRSMc-S2: 0.0-24.6, SRSMc-S3: 5.7-41.5, SRSMc-S4: 0.0-21.4
Global Climate Change Impacts on the Vegetation and Fauna of Mangrove Forested Ecosystems in Florida (FCE): Nekton Mass from March 2000 to April 2004
Bottomless lift nets are buried within the mangrove forest floor and raised remotely on slack high spring tides to enclose a 6m2 area. As the tide ebbs, fishes retreat into a subtidal refuge cleared when the tide has fallen. Three replicate nets have been sampled at 3 locations along a salinity gradient on Shark River for 4 years. Small resident forage fish and grass shrimp dominate the collections. Exotic species and estuarine transient species that use the estuary as a nursery are rare within the assemblage of fishes that routinely use the flooded forest.
NGE01 Chronic Addition of Nitrogen Gradient Experiment (ChANGE): Assessing threshold responses of plant community composition and ecosystem processes at Konza Prairie
Chronic nutrient additions can lead to drastic shifts in the plant community through time, both within tallgrass prairie in other grassland ecosystems worldwide. Nutrient addition experiments have answered many questions about patterns of diversity loss and community shifts; however, the level of nutrients which must be added to cause community shifts is unknown. To date, all nitrogen (N) addition experiments at Konza have added 10 g m-2 (e.g., NutNet Plots; Phosphorus (P) Plots; Belowground Plots), yet current rates of N deposition are one-tenth of that level. Even predicted rates of future N deposition in grasslands are not expected to exceed 5 g m-2 by the year 2050 and will likely be around 2 g m-2 for most of the US. This mismatch begs the question will 10 g/m2 affect grasslands the same way 2 or 5 g m-2 will? There are two main goals for this long-term experiment (1) to identify the nutrient threshold needed to drive plant community change with nutrient additions, and (2) to determine what factors underlie those threshold responses (build up of nutrients, mycorrhizal loss, invertebrate herbivory). Konza ChANGE is part of a multi-site experiment spanning grasslands on two different continents: North America – tallgrass prairie (KNZ) and shortgrass steppe (SGS), and China – three sites in Inner Mongolia. By including multiple grasslands, we expand our ability to make generalizations about how grasslands are affected by N additions, and whether thresholds, if they exist, vary with precipitation, natural nutrient availability, and species identity/composition. Research Questions: (1) Do ecosystems have N tolerance thresholds above which community composition will change, and does that differ between grassland types (i.e. mesic and xeric grasslands)? (2) Does adding a large amount of nutrients in one season result in an equivalent community change as adding a small amount over multiple years? (For example does 5 g m-2 for 6 years create the same community change as
Change in marsh surface elevation measured with a Surface Elevation Table (SET) at control and fertilized plots at Spartina alterniflora, S.patens and Typha sp. marshes, Plum Island Ecosystems LTER, MA (1999-2025).
A Surface Elevation Table (SET) is used to measure changes in the elevation of the marsh surface at three long term marsh control and fertilization experimental research sites. The sites include one Typha-dominated brackish marsh, one Spartina alterniflora-dominated salt marsh, and one S. patens-dominated salt marsh. Sites are located on the Rowley and upper Parker Rivers in the Plum Island Ecosystems (PIE) LTER.
Review of existing modelling studies focusing on specific soil-based ecosystem services (SES) and threats (ST) including climate change, management and land use change scenarios.
<p><span>We </span><span>reviewed existing modelling studies focusing on soil ecosystem services (SES) and soil threats (ST) including climate change, land use change and management scenarios. A publication has been submitted and is currently being reviewed. The title of the manuscript is: </span><span>Assessing and mapping soil ecosystem services and soil threats changes in agroecosystems through scenario-based approaches – a systematic review. </span></p> <p><span>Work was split between various authors. All Co-authors were working on either one or more SES or one ST. Excel sheets were prepared by INRA and BFW to ensure the comparability of results that members extracted from the papers found. Literature search was done in Scopus and Web of Science. The final list of related publications is reported here. <br></span></p>
Data for "How Nitrogen and Phosphorus Availability Change Water Use Efficiency in a Mediterranean Savanna Ecosystem"
<p>These are flux and meteorological data for the measurement sites ES-LMa (CT; control treatment), ES-LM1 (NT; nitrogen treatment), and ES-LM2 (nitrogen + phosphorus treatment) for the period from 2014-03-20 to 2020-02-01.</p> <p>These data were used for the manuscript:</p> <p>El-Madany, et al. (2021) "How Nitrogen and Phosphorus Availability Change Water Use Efficiency in a Mediterranean Savanna Ecosystem" submitted to Journal of Geophysical Research - Biogeoscience.</p>
Data used in the article: "Climate change impacts the vertical structure of marine ecosystem thermal ranges"
<p>This dataset is used in the manuscript "Climate change impacts the vertical structure of marine ecosystem thermal ranges" accepted in Nature Climate Change 2022.</p>
ecochange: An R-package to derive ecosystem change indicators from freely available earth observation products
<p>This release includes the R code necessary to reproduce Figures 2-4 in the Application paper entitled: "ecochange: An R-package to derive ecosystem change indicators from freely available Earth Observation products."</p>
Simulated climate change reduced the capacity of lichen-dominated biocrusts to act as carbon sinks in two semi-arid Mediterranean ecosystems
<p> Biocrust gas exchange measurements used as input data for this study. The methods are described in detail in the related identifier paper.</p>
Will Biomimetic Robots Be Able to Change a Hivemind to Guide Honeybees' Ecosystem Services? (dataset)
<p>Simulation data for different simulation runs from the publication "Will Biomimetic Robots Be Able to Change a Hivemind to Guide Honeybees’ Ecosystem Services?"<br> <br> Dataset for figure 4: The Model replicates Seeleys Choice Experiment (1991).<br> (Shown in the folder: 'Model_Validation_Choice_Empirical','Model_Validation_Choice_Model')<br> Aditionally the accumulated energy [J] (net gain) gathered threw the foraging targets is displayed.<br> <br> Dataset for figure 5: The Model replicates Seeleys Cross Inhibition Experiment (2009).<br> (Shown in the folder: 'Model_Validation_Equilib_Empirical','SModel_Validation_Equilib_Model')<br> Aditionally the accumulated energy [J] (net gain) gathered threw the foraging targets is displayed.<br> <br> Dataset for figure 6: Model data of Seeley's choice experiment (1991) under more natural conditions.<br> The effect of the single parameters and the effect of all parameters together is shown.<br> (Shown in the folder: 'Natural_Foraging_Forager_Size','Natural_Foraging_crop_Load',<br> 'Natural_Foraging_CFS','Natural_Foraging_All_Conditions',)<br> <br> Dataset for figure 7: Model data of Seeley's Cross Inhibition Experiment under more natural conditions.<br> The effect of the single parameters and the effect of all parameters together is shown.<br> (Shown in the folder: 'Natural_Foraging_Equilib_Forager_Size','Natural_Foraging_Equilib_crop_Load',<br> 'Natural_Foraging_Equilib_CFS','Natural_Foraging_Equilib_All_Conditions',)<br> <br> Dataset for figure 8: The influence of waggle dancing robots on the foraging behaviour of honeybees with two different qualities of the foraging targets A and B.<br> After 14400 second (12:00) a pesticide is sprayed on the foraging target B under natural conditions.<br> The waggle dancing robot starts advertising foraging target B when time > 14400 seconds.<br> (The folder shows: 'robo_influence_bad_vs_bad','robo_influence_good_vs_bad','robo_influence_good_vs_good',)</p> <p>Dataset for figure 9: The influence of 10 waggle dancing robots on the foraging behaviour of honeybees with two different qualities of the foraging targets A and B<br> and varrying colony fill status (CFS).<br> After 14400 second (12:00) a pesticide is sprayed on the foraging target B under natural conditions.<br> The 10 waggle dancing robots start advertising foraging target B when time > 14400 seconds. The CFS is varried (0.1, 0.3, 0.5, 0.7, 0.9).<br> (The folder shows: 'robo_influence_bad_vs_bad','robo_influence_good_vs_bad','robo_influence_good_vs_good',)<br> <br> Dataset for figure 10: The effects at the end of the waggle dancing robots on the accumulated energy (through the trips), accumulated pesticides (through trips on foraging target<br> B, where after time>14400 pesticide was sprayed on the foraging target), pollination flights to foraging target A.<br> After 14400 second (12:00) a pesticide is sprayed on the foraging target B under natural conditions.<br> The waggle dancing robot starts advertising foraging target A when time > 14400 seconds.<br> (The folder shows: 'robo_influence_acc_energy','robo_influence_acc_pesticide','robo_influence_pollination')<br> <br> The datasets are contained in the zipped file folder Figures_data.zip.</p>
Satellite soil and vegetation water content data capturing main terrestrial ecosystem changes
<p>I)SUMMARY</p> <p>This repository contains a harmonized database for the study of terrestrial ecosystem changes published in [Bueso et al., 2021]. It covers the period June 2010 - July 2020 and includes the following variables, which were harmonized to a common spatial scale of 25km and monthly temporal resolution and clustered as detailed in [Bueso et al., 2021]:</p> <p>- SM: soil moisture from SMOS-IC v2<br> - VOD: vegetation optical depth from SMOS-IC v2<br> - NDVI: Normalized Vegetation Difference Index from MODIS, product MOD13Q1 v6<br> - PREC: Rainfall from PERSIANN-CDR v2.2.</p> <p>Additionally, land cover information from MODIS MCD12Q1 collection 6 for years 2011 and 2019 is provided for each cluster.</p> <p>II) CONTACT</p> <p>For questions, please e-mail Diego Bueso at diego.bueso@uv.es</p> <p>III) DATABASE</p> <p>We provide the maps of identified clusters by quantile of SM and VOD and the code to generate Figs 1 and 2 of supplementary material in [Bueso et al., 2023]. We then provide for each identified cluster .mat files containing the variables described above. Further details are in the readme.txt file</p> <p>IV) CITE</p> <p>To properly acknowledge the dataset we kindly encourage users to (1) cite the DOI as an in-text citation and/or in the data acknowledgements in any publication and (2) reference the following publication: </p> <p>D. Bueso, M. Piles, P. Ciais, J-P. Wigneron, Á. Moreno-Martínez, G. Camps-Valls, "Soil and vegetation water content identify the main terrestrial ecosystem changes", National Science Review, 2023, <a href="https://doi.org/10.1093/nsr/nwad026">https://doi.org/10.1093/nsr/nwad026</a> </p>
Assessing change in ecosystem processes twenty four years after the 1988 Yellowstone Wildfires, 2013
The extent of young postfire conifer forests is growing throughout western North America as the frequency and size of high-severity fires increase, making it important to understand ecosystem structure and function in early seral forests. Understanding nitrogen (N) dynamics during postfire stand development is especially important because northern conifers are often N limited. We re-sampled lodgepole pine (Pinus contorta var. latifolia) stands that regenerated naturally after the 1988 fires in Yellowstone National Park (Wyoming, USA) to ask: (1) How have N pools and fluxes changed over a decade (15 to 25 years postfire) of very rapid forest growth? (2) At postfire year 25, how do N pools and fluxes vary with lodgepole pine density and productivity? Lodgepole pine foliage, litter (annual litterfall, forest-floor litter), and mineral soils were sampled in 14 plots (0.25-ha) that varied in postfire lodgepole pine density (1,500 to 344,000 stems ha-1) and aboveground net primary production (ANPP; 1.4 to 16.1 Mg ha-1 yr-1). Previous data collected 15 and 17 years postfire (i.e., 2003 and 2005) provided a reference for assessing change in ecosystem process rates over time. At that time, lodgepole pine foliar nitrogen (N) concentrations had not yet suggested N limitation, and tree density and net primary production strongly influenced ecosystem carbon (C) and N stocks. These data were collected in 2012 and 2013 and are associated with the following publication: Turner, M. G., T. G. Whitby, and W. H. Romme. 2019. Feast not famine: Nitrogen pools recover rapidly in 25-yr old postfire lodgepole pine. Ecology (In press).
Climate Change Across Seasons Experiment (CCASE) at the Hubbard Brook Experimental Forest: Tree Growth Data in support of "Declining Winter Snowpack Offsets Carbon Storage Enhancement from Growing Season Warming in Northern Temperate Forest Ecosystems", Conrad-Rooney et al. PNAS 2025
Data associated with the publication: Conrad-Rooney E, AB Reinmann, PH Templer. Declining Winter Snowpack Offsets Carbon Storage Enhancement from Growing Season Warming in Northern Temperate Forest Ecosystems. Proceedings of the National Academy of Sciences, 2025. This dataset includes cumulative stem biomass carbon data (from pre-treatment in 2012 until 2022) and annual stem biomass growth rates (not cumulative) for 2015-2022 for the red maple trees at the Climate Change Across Seasons Experiment. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Climate Change Across Seasons Experiment (CCASE) at the Hubbard Brook Experimental Forest: Soil Temperature, Soil Frost, and Snow Depth Data in support of "Declining Winter Snowpack Offsets Carbon Storage Enhancement from Growing Season Warming in Northern Temperate Forest Ecosystems", Conrad-Rooney et al. PNAS 2025
Data associated with the publication: Conrad-Rooney E, AB Reinmann, PH Templer. Declining Winter Snowpack Offsets Carbon Storage Enhancement from Growing Season Warming in Northern Temperate Forest Ecosystems. Proceedings of the National Academy of Sciences, 2025. This dataset includes soil temperature (winter 2021-2022) and snow depth and frost depth (winter 2022-2023) at the Climate Change Across Seasons Experiment. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Scenario simulations of the changing Black Sea ecosystem (SIMSEA)
<p>The regional Black Sea ecosystem model (BSEM) has been applied for the first time for biogeochemical simulations of the Black Sea ecosystem (Oguz, T., H. W. Ducklow, J. E. Purcell, and P. Malanotte-Rizzoli (2001), Modeling the response of topdown control exerted by gelatinous carnivores on the Black Sea pelagic food web. J. Geophys. Res., 106, 4543–4564). The BSEM model is able to describe the Black Sea specific features as demonstrated by the analysis presented herein. One of the key modification of the existing models is the introduction of two new components - the carnivore predators <em>Mnemiopsis</em> and <em>Noctiluca shunt.</em> Originally they began to exist in the lower trophic Black sea food web since the 80s. They feed on zooplankton and are responsible for the reduction of zooplankton standing stock that represents an ecological concern. Detailed description of the BSEM can be found in Miladinova S., A. Stips, E. Garcia-Gorriz, D. Macias Moy (2016c), Modelling Toolbox 2: The Black Sea ecosystem model, EUR 28372 EN, doi:10.2788/677808.</p> <p>The model is coupled to the General Estuarine Transport Model (GETM). It is forced with fluxes, obtained from realistic meteorological conditions and tuned for the Black Sea ecosystem in particular. The main advantage of the GETM-BSEM model set-up for the Black Sea is the possibility to study: (i) the long-term evolution of the Black Sea ecosystem; (ii) the effect of nutrient load and regional weather on the biogeochemical structure.</p> <p>Data sets consists of monthly mean values of total phytoplankton (large + small) and nitrate concentrations on a horizontal grid of 423x172 data points (2 longitude minutes x 2 latitude minutes) and 70 vertical levels. Simulations are performed for the period from 1960 to 2014 (55 years). The 3D monthly mean vertical coordinate (m), phytoplankton (mmol N/m**3) and nitrate (mmol N/m**3) are stored in NetCDF format.</p> <p> </p>
Fig. 3 in Histological Changes In Common Toad, Bufo Bufo (Anura, Bufonidae), Liver Tissue Under Conditions Of Anthropogenically Transformed Ecosystems
Fig. 3. Adipose dystrophy and hypopigmentation of Fig. 4. Well-seen adipose dystrophy combined with common toad's liver. Vacuol and pigment remain- protein dystrophy and a foci of necrosis in the middle ings are seen in melano-macrophagal aggregations. of the picture. Destroyed cells and pigment remain- Hematoxyline-eosine staining, ×200. ings are seen in melano-macrophagal aggregations. Hematoxyline-eosine staining, ×200.
Fig. 1 in Histological Changes In Common Toad, Bufo Bufo (Anura, Bufonidae), Liver Tissue Under Conditions Of Anthropogenically Transformed Ecosystems
Fig. 1. Protein dystrophy in common toad. Protein Fig. 2. Foci of necrosis in common toad liver tissue. granules are visible inside hepatocytes. Hematoxy- Destructed cells are seen. Hematoxyline-eosine stainline-eosine staining, ×200. ing, ×200.
Fig. 7 in Histological Changes In Common Toad, Bufo Bufo (Anura, Bufonidae), Liver Tissue Under Conditions Of Anthropogenically Transformed Ecosystems
Fig. 7. Histological changes in liver tissue of common toads from breeding population in NNP "Holosiivskyi", %.
Fig. 5 in Histological Changes In Common Toad, Bufo Bufo (Anura, Bufonidae), Liver Tissue Under Conditions Of Anthropogenically Transformed Ecosystems
Fig. 5. Manifestation of protein dystrophy and hyper- Fig. 6. Abnormally big melano-macrophagal aggrepigmentation in common toad liver tissue. Hematox- gation surrounded by lymphoid infiltrate (inflammayline-eosine staining, ×200. tion) and hyperpigmentation in common toad's liver
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.