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141 results for “ecosystem dynamics”
Figure 4 from: Ariza GM, Jácome J, Esquivel HE, Kotze DJ (2021) Early successional dynamics of ground beetles (Coleoptera, Carabidae) in the tropical dry forest ecosystem in Colombia. In: Spence J, Casale A, Assmann T, Liebherr JК, Penev L (Eds) Systematic Zoology and Biodiversity Science: A tribute to Terry Erwin (1940-2020). ZooKeys 1044: 877-906. https://doi.org/10.3897/zookeys.1044.59475
Figure 4 Generalized Linear Model predicted (mean ± SE) number of individuals of Calosoma alternans and the remaining carabid beetle species collected from Armero across the three habitat types (forest, early succession, and pasture). Note different y-axis scales.
Figure 2 from: Ariza GM, Jácome J, Esquivel HE, Kotze DJ (2021) Early successional dynamics of ground beetles (Coleoptera, Carabidae) in the tropical dry forest ecosystem in Colombia. In: Spence J, Casale A, Assmann T, Liebherr JК, Penev L (Eds) Systematic Zoology and Biodiversity Science: A tribute to Terry Erwin (1940-2020). ZooKeys 1044: 877-906. https://doi.org/10.3897/zookeys.1044.59475
Figure 2 Rarefaction and extrapolation richness curves for carabid beetles from Armero (A–C), and Armero and Cambao combined (D–F) A, D comparison of richness between habitats using sample-size-based curves B, E sample completeness curves C, F comparison of richness using coverage-based curves. Abbreviations: F = forest, ES = early succession, P = pasture. Numbers in parentheses denote sample sizes and the observed Hill number (q = 0) (A, D), sample size and the estimated sample coverage (B, E), and the estimated sample coverage and the observed Hill number (q = 0) (C, F), respectively.
Canopy temperature is regulated by ecosystem structural traits and captures the ecohydrologic dynamics of a semiarid mixed conifer forest site
<p>The data have been used in a published article in the Journal of Geophysical Research: Biogeosciences, titled "Canopy temperature is regulated by ecosystem structural traits and captures the ecohydrologic dynamics of a semiarid mixed conifer forest site". Please check out the published article for more information about the data.<br> <br> Javadian, M., Smith, W. K., Lee, K., Knowles, J. F., Scott, R. L., Fisher, J. B., et al. (2022). Canopy temperature is regulated by ecosystem structural traits and captures the ecohydrologic dynamics of a semiarid mixed conifer forest site. <em>Journal of Geophysical Research: Biogeosciences</em>, 127, e2021JG006617. <a href="https://doi.org/10.1029/2021JG006617">https://doi.org/10.1029/2021JG006617</a><br> <br> There are 5 folders in the main folder as follows:<br> <br> 1."EC_Tower" : The flux tower data over US-MtB eddy covariance site from Jan 2020 to May 2021.<br> 2. "FLIR_Thermometer": The vertical temperature profiles on Nov, 14, 2020.<br> 3."PRI": The photochemical reflectance index (PRI) from Jan 2020 to Feb 2021.<br> 4. "Tree_Sap_Flow": Tree sap flow data from Jan 2020 to May 2021.<br> 5. "UAS": Unmanned Aircraft Systems (UAS) images</p>
Supplementary material 1 from: Balestrini R, Delconte C, Buffagni A, Fumagalli A, Freppaz M, Calvo E, Buzzetti I (2019) Dynamic of nitrogen and dissolved organic carbon in an alpine forested catchment: atmospheric deposition and soil solution trends. In: Mazzocchi MG, Capotondi L, Freppaz M, Lugliè A, Campanaro A (Eds) Italian Long-Term Ecological Research for understanding ecosystem diversity and functioning. Case studies from aquatic, terrestrial and transitional domains. Nature Conservation 34: 41-66. https://doi.org/10.3897/natureconservation.34.30738
: Data type: statistical data
Quantifying the Interaction of Oceanic and Riverine processes on Phytoplankton Dynamics in a Highly Dynamic Coastal Ecosystem
<p>The dataset lists the data in Figure 3, S1 and S7.</p>
Assessing the Interaction of Oceanic and Riverine Processes on Phytoplankton Dynamics in a Highly Dynamic Coastal Ecosystem of the East China Sea
<p>The dataset lists the data in all Figures.</p>
Data from: Possible adverse impact of contaminants on Atlantic cod population dynamics in coastal ecosystems
Open the record for dataset details and reuse information.
Data from: Alpha and beta diversity of connected benthic–subsurface invertebrate communities respond to drying in dynamic river ecosystems
Open the record for dataset details and reuse information.
Data from: Analysing the dynamics and relative influence of variables affecting ecosystem responses using functional PCA and boosted trees: a seagrass case study
Open the record for dataset details and reuse information.
Data from: Spatial and successional dynamics of microbial biofilm communities in a grassland stream ecosystem
Open the record for dataset details and reuse information.
Mechanisms driving the soil organic matter decomposition response to nutrient enrichment:Nutrient Network. A cross-site investigation of bottom-up control over herbaceous plant community dynamics and ecosystem function.
This experiment is one implementation of a globally distributed experiment, known as the Nutrient Network. At Cedar Creek, as in over 70 other sites in grasslands around the world, the experiment aims to describe impacts of increased nutrients (nitrogen, phosphorus, potassium, sulfur and other metals) and decreased herbivory (removal of mammals by fencing). Two overarching questions are being explored with these manipulations: 1. To what extent are plant production and diversity co-limited by multiple nutrients in herbaceous-dominated communities? 2. Under what conditions do grazers or fertilization control plant biomass, diversity, and composition? By utilizing identical protocols at diverse grassland sites around the world, NutNet aims to uncover both the generalities in ecosystem functioning, and the contingencies or differences which can obscure those common mechanisms. In addition to the standard NutNet protocol, e247 includes an additional low Nitrogen gradient (1 gram Nitrogen per meter squared per year and 5 grams Nitrogen per meter squared per year in addition to the standard 10 grams Nitrogen per meter squared per year).
PnET Models: Carbon, Nitrogen, Water Dynamics in Forest Ecosystems (Vers. 4 and 5)
PnET (Photosynthetic / EvapoTranspiration model) is a nested series of models of carbon, water, and nitrogen dynamics in forest ecosystems. The models can be used to predict transient responses in net primary production (NPP), carbon and water balances, net nitrogen (N) mineralization and nitrification and N leaching losses, resulting from changes in climate, N deposition, tropospheric ozone and land use as well as variation in species composition. The models have been developed and validated in the Northeastern U.S. at both the site and grid level (to 1-km resolution) at the Complex Systems Research Center, University of New Hampshire, by John Aber and colleagues.
Impacts of Wildfires on Boreal Forest Ecosystem Carbon Dynamics
This dataset contains simulations of net primary production (NPP), heterotrophic respiration (RH), net ecosystem production (NEP), and soil temperature data in North American boreal forests for the period 1986-2020. Data sources included historical fire sources and Landsat data. The delta Normalized Burn Ratio (dNBR), which can be used to represent burn severity for a fire, was calculated for each individual fire over the time period. The interactions between canopy, fire and soil thermal dynamics were modelled using a soil surface energy balance model incorporated into a previous Terrestrial Ecosystem Model (TEM). Using the revised TEM, two regional simulations were conducted with and without fire disturbance. Fire polygons were dissected into each unit with unique fire history and then intersected with each grid cell to measure fire impacts. The output values for each grid cell are the area-weighted mean of each fire polygon and unburned area within the cell. Two extra simulations without a canopy energy balance scheme were also conducted to quantify the impact of the canopy. Soil temperature was simulated with and without the canopy energy balance scheme in the model in addition to considering fire impacts. The data are provided in comma separated values (CSV) format.
Ecosystem Demography Model: Scaling Vegetation Dynamics Across South America
This model product contains the source code for the Ecosystem Demography Model (ED version 1.0) as well as model input and output data for a portion of South America including the Brazilian Amazon. The model output data are estimates of potential average live biomass (kg C/m2), potential average soil carbon (kg C/m2), and potential above-ground net primary production (NPP) (kg C/m2/yr) at 1.0 degree resolution. To produce these estimates, ED was forced with ISLSCP I data for 1987 and 1988, averaged into a single year (Moorcroft et al., 2001). Data for the three estimates are provided in both ASCII text and in NetCDF formatted files. ED is an individual-based terrestrial ecosystem model that predicts both ecosystem structure (e.g. above and below-ground biomass, vegetation height and basal area, and soil carbon stocks) and corresponding ecosystem fluxes (e.g. NPP, NEP and evapotranspiration) from climate, soil, and land-use inputs. The model consists of integrated sub-models governing processes such as leaf-level physiology, plant allocation, allometry, phenology, dispersal, the effects of fire disturbances, and below-ground sub-models for soil carbon dynamics and hydrology. Using a new method for scaling-up it is possible to predict ED's large-scale behavior without simulating the fate of every plant individually. ED is used to examine how climate and edaphic factors, natural disturbances, and human land-use practices affect ecosystem structure and fluxes. This data set contains six zip files which each uncompress into six unique subdirectories. Each subdirectory is described in detail in the Model Product Description section of this document. Installation and execution instructions are provided in the Model Documentation and User's Guide section of this document.
Single-Cell Map of Dynamic Multicellular Ecosystem of Radiation-Induced Intestinal Injury
GEO Series GSE165318. Mus musculus. 17 samples. Type: Expression profiling by high throughput sequencing.
CAZyChip: Dynamic assessment of exploration of glycoside hydrolases in microbial diversity ecosystems.
GEO Series GSE80173. Bacteria. 94 samples. Type: Expression profiling by array.
Hyperspectral Coastal Ocean Dynamics Experiment (HyCoDE) measurements at Long-term Ecosystem Observatory 15 (LEO-15) oceanographic and meteorological station
Measurements from the Hyperspectral Coastal Ocean Dynamics Experiment (HyCoDE) LEO-15 station off the Atlantic Coast of New Jersey.
Assessing the Interaction of Oceanic and Riverine Processes on Phytoplankton Dynamics in a Highly Dynamic Coastal Ecosystem of the East China Sea
<p>All data.</p>
Global Ocean Ecosystem Dynamics (GLOBEC)
Global Ocean Ecosystem Dynamics (GLOBEC) optical measurements.
model output used for Paper "Simulating ecosystem dynamics and marine biogeochemical cycles with multiple plankton functional types"
<p>This dataset contains the model output from CESM2.2-8p4z, used in Yu et al., 2024 in Journal of Advances in Modeling Earth Systems (JAMES). </p>
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.