Data · dataset · 2026
Spatial-temporal evolution and driving force of carbon sequestration function in typical counties of the Three Gorges Reservoir area: Wanzhou case
Listed in Teesside University Research Data Repository
This dataset supports research on the “Spatial-temporal evolution and driving force of carbon sequestration function in typical counties of the Three Gorges Reservoir area: Wanzhou case” research paper.
Description
It includes multiple thematic data folders: “Driver factor data” contains data on factors (e.g., climate, topography, human activities) driving carbon sequestration differentiation.“Local Moran’s I and hot spot analysis method” provides methodological materials for spatial pattern analysis of carbon sequestration.“Wanzhou Carbon storage data” and “Wanzhou Sloping farmland Carbon storage data” quantify carbon storage at the county scale and for sloping farmland specifically.“Wanzhou Land use type data” and “Wanzhou Sloping farmland data” characterize land use patterns and sloping farmland distribution.These data, integrated with multi-source remote sensing, the InVEST model, and Geographical Detector analysis, enable the investigation of carbon sequestration dynamics, spatial heterogeneity, and driving forces, particularly focusing on the coupling effects of land use, topography, and climate in subtropical mountainous ecosystems.
They facilitate understanding of county-scale carbon cycle processes and support targeted ecological management strategies in ecologically fragile regions.
Links
Where it is published
- DOI doi.org/10.17632/9ttyf79zfp.2 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science
- Inferred from text
- Satellite remote sensing 65%
Provenance · 1 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/9ttyf79zfp.2 | 15 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:remote-sensing | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |