Data · dataset · 2026
A dataset on grassland species composition along the corridor of the China Railway Express (Xinjiang section)
Listed in ScienceDB
Transport corridors are a key factor shaping the spatial distribution of species.
Description
As a prominent trade artery connecting Asia and Europe, the China-Europe Railway Express (CRE) potentially serves as a corridor for the spread of invasive alien plants while promoting economic development , posing a latent threat to ecosystems along the route. Xinjiang, as an important pastoral region in China, occupies a hub position of the CRE corridor, , and thus its grasslands deserve particular attention with respect to ecological security..
In 2024, our team systematically established 294 quadrats (1 or 9 m²) across 95 transects within a 10-Km survey zone along approximately 1,300-Km railways of the CRE (Xinjiang section, from the Alatau-Pass/Horgos Ports to Hami),. Using standardized phytosociological survey methods, we recorded the distribution of all herbaceous plant species (including both invasive alien species and native species) within each quadrat.
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This dataset contains geographical locations for the 294 sample plots, a presence/absence matrix of 182 plant species encountered, as well as taxonomic, life-form, and provenance (i.e., alien or native species) information of these species. It provides high-resolution, large-scale baseline data for in-depth analyses of the“corridor effect”of the CRE, distribution patterns of invasive weeds, and species assembly in grassland communities.
The dataset holds significant scientific values for assessing the ecological consequences of the Belt and Road Initiative and promoting local biodiversity conservation.Key words: China Railway Express; exotic invasive weeds; species composition; plant community; Desert grassland; ecological security
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.ecodb.00229 ↗
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
- Ecology 73%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.ecodb.00229 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:3103 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (73%) |
| 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 |