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ZENODO
Dataset . 2017
License: CC 0
Data sources: ZENODO
DRYAD
Dataset . 2017
License: CC 0
Data sources: Datacite
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Data from: Conditional vulnerability of plant diversity to atmospheric nitrogen deposition across the United States

Authors: Simkin, Samuel M.; Allen, Edith B.; Bowman, William D.; Clark, Christopher M.; Belnap, Jayne; Brooks, Matthew L.; Cade, Brian S.; +10 Authors

Data from: Conditional vulnerability of plant diversity to atmospheric nitrogen deposition across the United States

Abstract

Atmospheric nitrogen (N) deposition has been shown to decrease plant species richness along regional deposition gradients in Europe and in experimental manipulations. However, the general response of species richness to N deposition across different vegetation types, soil conditions, and climates remains largely unknown even though responses may be contingent on these environmental factors. We assessed the effect of N deposition on herbaceous richness for 15,136 forest, woodland, shrubland, and grassland sites across the continental United States, to address how edaphic and climatic conditions altered vulnerability to this stressor. In our dataset, with N deposition ranging from 1 to 19 kg N⋅ha−1⋅y−1, we found a unimodal relationship; richness increased at low deposition levels and decreased above 8.7 and 13.4 kg N⋅ha−1⋅y−1 in open and closed-canopy vegetation, respectively. N deposition exceeded critical loads for loss of plant species richness in 24% of 15,136 sites examined nationwide. There were negative relationships between species richness and N deposition in 36% of 44 community gradients. Vulnerability to N deposition was consistently higher in more acidic soils whereas the moderating roles of temperature and precipitation varied across scales. We demonstrate here that negative relationships between N deposition and species richness are common, albeit not universal, and that fine-scale processes can moderate vegetation responses to N deposition. Our results highlight the importance of contingent factors when estimating ecosystem vulnerability to N deposition and suggest that N deposition is affecting species richness in forested and nonforested systems across much of the continental United States.

Simkin_et_al_2016_data_from_PNAS_Diversity_and_N_depositionEach row in the "Simkin_et_al_2016_data_from_PNAS_Div_and_N_dep.csv" dataset represents one of 15,136 sites, and each of the 16 columns is a separate variable. The "README.csv" file contains descriptions corresponding to the 16 column header names, including the site coordinates (latitude and longitude), the response variable (species richness), the environmental variables (niitrogen deposition, precipitation, temperature, and pH), the output variables (critical loads of nitrogen with 95% confidence interval, as well as corresponding exceedance values), and assorted vegetation classification and data source variables. The "README.csv" also has further details about the multiple vegetation data sources corresponding to the abbreviated values in the "proj_orig" variable. The description of vegetation data sources is a text file adaptation of Table S1 in the Supplemental Material of Simkin et al. 2016 in the PNAS paper.Simkin_et_al_2016_data_from_PNAS_Div_and_N_dep.csv

Keywords

nitrogen deposition, soil pH, Soil pH

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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