Data · dataset · 2026
Acquisitive plant traits are favored during and following drought: insights from two long-term grassland experiments
Listed in ScienceDB
Description
This dataset contains derived, analysis-ready data used to examine plant community responses to long-term experimental drought and post-drought recovery at two semi-arid grassland sites in the Sevilleta National Wildlife Refuge, New Mexico, USA: a Great Plains grassland and a Chihuahuan Desert grassland.The dataset was derived from publicly available plant biomass data collected by the Sevilleta Long-Term Ecological Research (LTER) Program (Baur et al. 2024) and plant functional trait data from Farkas et al. (2021).
The dataset includes plant aboveground biomass and the community-weighted means (CWMs) and functional dispersion (FDis) of six plant functional traits: leaf dry matter content (LDMC), leaf carbon content (LCC), leaf nitrogen content (LNC), stem dry matter content (SDMC), stem tissue density (STD), and root tissue density (RTD). Multivariate functional dispersion and the biomass of major plant functional groups are also included.The Excel file SEV_Ecology_data.xlsx contains four worksheets corresponding to the analyses and figures presented in the associated manuscript: Figure 1a, Figure 1b, Figure 2_3, and Figure 4.
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The Figure 1a and Figure 1b worksheets contain data used for principal component analyses (PCA) of plant functional traits and functional-group composition. The Figure 2_3 worksheet contains analysis-ready data used to examine temporal responses of plant biomass, functional composition, and functional diversity during experimental drought and post-drought recovery. The Figure 4 worksheet contains data used to examine relationships between plant functional attributes and aboveground biomass responses to drought.The accompanying R script, SEV_Ecology_R_scripts.R, uses these worksheets to perform the statistical analyses and generate the corresponding figures presented in the manuscript.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.0113g ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Crop and pasture production 75%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.0113g | 8 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:3004 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (75%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |