Data · dataset · 2026
Simulation dataset of carbon fluxes for major plant functional types in the Yarlung Zangbo-Lhasa-Nyangchu River basin,
Listed in ScienceDB
This dataset is based on the Biome BGC 4.2 process model, using high-resolution grid point observation precipitation data (CN05.1), ERA5 solar radiation reanalysis data, and annual atmospheric CO ₂ concentration data from multiple sources in China.
Description
Using the Biome BGC 4.2 process model, four main vegetation functional types (evergreen coniferous forest, deciduous broad-leaved forest, alpine grassland, shrubland) at 101 0.25 ° grid points in the watershed were simulated grid by grid point.
The total primary productivity (GPP), net primary productivity (NPP), and net ecosystem productivity (NEP) of the historical period (2000-2022) were reconstructed, and SSP1-2.6 and SSP2-2.6 were directly driven and simulated based on the CMIP6 MIROC6 model. The evolution of carbon flux in the future (2015-2100) under four scenarios: -4.5, SSP3-7.0, and SSP5-8.5. Using Mann Kendall mutation test, Sen slope, Pearson and partial correlation analysis, R/S Hurst index and other methods, the temporal variation characteristics of carbon flux, climate driving factors and future persistence were evaluated.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.010xd ↗
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
- Greenhouse gas inventories and fluxes 78% · Simulation 75%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.010xd | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:field:370203 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (78%) |
| 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 | |
| concepts[method].local:method:simulation | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license_text | source · scidb cn | connector:scidb_cn@1.0.0 | |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |