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8 results for “NutNet”
Nutrient Network (NutNet) basic sampling at the Georgia Coastal Ecosystems LTER in summer 2019.
NutNet is a distributed ecological experiment with a sampling component and an experiment. The goal of this work was to conduct the NutNet sampling protocol at the GCE site. Comparisons can be made 1) within the GCE site, and 2) between GCE and other NutNet sites, most of which are terrestrial. More about Nutnet here: http://www.nutnet.umn.edu/.
Species cover, community biomass, and richness in global grasslands from NutNet (2007–2023): Dominant species predict plant richness and biomass in global grasslands
The Nutrient Network (NutNet) is a globally coordinated research initiative designed to investigate the impacts of human-driven alterations in nutrient availability and consumer presence on grassland ecosystems. Data were collected from over 130 herbaceous-dominated sites worldwide, spanning diverse environmental conditions from desert grasslands to arctic tundra. Standardized methodologies were employed across all sites to enable direct comparisons of productivity, diversity, and ecosystem responses. Experimental treatments included nutrient additions to assess co-limitation of plant growth by multiple nutrients, as well as grazer manipulations to examine their role in regulating biomass, species diversity, and community composition. By compiling these cross-site data, NutNet aims to enhance our understanding of productivity-diversity relationships and provide new insights into the ecological consequences of anthropogenic changes to nutrient cycles and food webs at a global scale.
Effects of Multiple Resource Additions on Community and Ecosystem Processes: NutNet NPP Quadrat Sampling at the Sevilleta National Wildlife Refuge, New Mexico
Two of the most pervasive human impacts on ecosystems are alteration of global nutrient budgets and changes in the abundance and identity of consumers. Fossil fuel combustion and agricultural fertilization have doubled and quintupled, respectively, global pools of nitrogen and phosphorus relative to pre-industrial levels. In spite of the global impacts of these human activities, there have been no globally coordinated experiments to quantify the general impacts on ecological systems. This experiment seeks to determine how nutrient availability controls plant biomass, diversity, and species composition in a desert grassland. This has important implications for understanding how future atmospheric deposition of nutrients (N, S, Ca, K) might affect community and ecosystem-level responses. This study is part of a larger coordinated research network that includes more than 40 grassland sites around the world. By using a standardized experimental setup that is consistent across all study sites, we are addressing the questions of whether diversity and productivity are co-limited by multiple nutrients and if so, whether these trends are predictable on a global scale.
Effects of Multiple Resource Additions on Community and Ecosystem Processes: NutNet Seasonal Biomass and Seasonal and Annual NPP Data at the Sevilleta National Wildlife Refuge, New Mexico
Two of the most pervasive human impacts on ecosystems are alteration of global nutrient budgets and changes in the abundance and identity of consumers. Fossil fuel combustion and agricultural fertilization have doubled and quintupled, respectively, global pools of nitrogen and phosphorus relative to pre-industrial levels. In spite of the global impacts of these human activities, there have been no globally coordinated experiments to quantify the general impacts on ecological systems. This experiment seeks to determine how nutrient availability controls plant biomass, diversity, and species composition in a desert grassland. This has important implications for understanding how future atmospheric deposition of nutrients (N, S, Ca, K) might affect community and ecosystem-level responses. This study is part of a larger coordinated research network that includes more than 40 grassland sites around the world. By using a standardized experimental setup that is consistent across all study sites, we are addressing the questions of whether diversity and productivity are co-limited by multiple nutrients and if so, whether these trends are predictable on a global scale. Above-ground net primary production is the change in plant biomass, represented by stems, flowers, fruit and and foliage, over time and incoporates growth as well as loss to death and decomposition. To measure this change the vegetation variables, including species composition and the cover and height of individuals, are sampled twice yearly (spring and fall) at permanent 1m x 1m plots within each site. Volumetric measurements are made using vegetation data from permanent plots (SEV231, "Effects of Multiple Resource Additions on Community and Ecosystem Processes: NutNet NPP Quadrat Sampling") and regressions correlating species biomass and volume constructed using seasonal harvest weights from SEV157, "Net Primary Productivity (NPP) Weight Data."
Aboveground net primary productivity, species composition and species richness data for NutNet site, 2007 - 2017
In 2007, a NutNet (http://www.nutnet.umn.edu/) site was established in a dry meadow site east of T-van on Niwot Ridge to assess multiple resource limitation on alpine grassland productivity and species composition. Nutrient treatments were added every other year starting in 2008. Treatments consisted of eight levels of nutrient addition (control, N, P, micro, N+P, N+micro, P+micro, and N+P+micro), replicated across four blocks. Untreated controls and all-nutrient treatments were replicated twice within each block for a total of 40 experiment plots. Starting in 2016, Potassium (K) was added as potash (K2SO4) to plots treated with micronutrients. Baseline data on above-ground biomass was sampled in 2007, prior to fertilizer application. Biomass clipping was repeated in 2013 and species composition measured in 2013 and 2017.
Global dataset of plant diversity and the spatial variability of grassland biomass from NutNet
While there is strong evidence of diversity effects on temporal variability of productivity, whether this mechanism extends to variability across space remains elusive. Here, we present data from Nutrien Network (www.nutnet.org) that were used to determine the relationship between diferent scales of plant diversity and spatial variability of productivity in 83 grasslands worldwide, and to quantify the effect of experimentally increased spatial heterogeneity in environmental conditions on this relationship. There are two data sets, one for the pre-treatment (observational_data.csv) data, and other for the experimentally increased heterogeneity (increased heterogeneity.csv). In these data sets, study sites contained at least three replicates that originated from blocks each composed of ten 5 m × 5 m plots. In addition, pre-treatment data has a subset of sites in where soil conditions where measured (observational_data_soil.csv) and a version in which data for each site are sumarized and site-level climatic variables obtained from WorldClim (www.worldclim.org) are added. (observational_data_site_climate.csv). If you need any clarification or further information, please contact us.
Data package for NutNet project: Compositional variation in grassland plant communities (60 sites, 2007-2020)
Data associated with a manuscript examining compositional variation in grassland plant communities around the globe. We used a globally distributed experiment to examine variation in species composition within 60 grasslands on 6 continents. Each site had an identical experimental and sampling design: 24 plots x 4 years. We expressed compositional variation within each site—not across sites—using abundance- and incidence-based metrics of the magnitude of dissimilarity (Bray-Curtis and Sorensen, respectively), abundance- and incidence-based measures of the relative importance of replacement (balanced variation and species turnover, respectively), and species richness at two scales (per plot-year (alpha) and per site (gamma)). We assessed species composition separately for each site and then compared patterns among sites, asking: (1) How does small-scale compositional variation differ among grasslands?; (2) Can compositional variation within a site be predicted by its biotic and abiotic context?; and (3) Does a combination of metrics enhance our understanding of the ecological processes at individual sites? This data package includes the site-specific values of each metric and the explanatory variables used to predict differences in compositional variation among sites. Scripts to conduct analyses and create figures and tables are also provided.
Soil micronutrients & grassland productivity (NutNet dataset)
<p>The dataset and the R code used in the study: 'Soil properties as key predictors of global grassland production: have we overlooked micronutrients?' The dataset contains information about biomass productivity, climate, soil properties, nutrients and management of 72 non-fertilized NutNet grassland sites. </p>
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International Brain Laboratory public data
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OpenNeuro
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