Data · dataset · 2023
An ecosystem service assessment dataset in Mao’er Mountain National Forest Park (2018-2019)
Listed in ScienceDB
Mao’er Mountain is a typical natural secondary forest distribution area with strong spatial heterogeneity.
Description
As a result, it could support for researches on the decision-making for forest management and the relationship between supply and demand for natural forests. This paper provides a dataset of six categories of ecological indicators in Mao’er Mountain, including water conservation, soil conservation, carbon fixation and oxygen release, nutrient accumulation, atmospheric purification, biodiversity conservation, which is calculated based on the Specifications for Assessment of Forest Ecosystem Services in China (LY/T 1721—2008).
The raw data mainly include GF-1 remote sensing data, meteorological data, forest resource inventory data for management, etc. The accuracy of is strictly ensured through a series of processes such as vectorization, correction, and registration. The dataset provides by this paper includes the physical and value quantities of 18 specific ecological indicators in the ecosystem service assessment system.
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The data can be divided into two types: monthly and yearly according to the time resolution. The spatial resolution of the data is unified to 16m.
Links
Where it is published
- DOI doi.org/10.11922/sciencedb.j00001.00405 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.11922%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Ecological applications 70% · Satellite remote sensing 65%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.11922/sciencedb.j00001.00405 | 8 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:4102 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (70%) |
| 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[modality].local:modality:remote-sensing | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (65%) |
| 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 |