Data · dataset · 2023
30m resolution spatial distribution dataset of mangroves in China (2015)
Listed in ScienceDB
a.
Description
Data content (data file/table name, including observation index content) The 2015 China Mangrove Spatial Distribution Dataset reflects the specific area and spatial distribution of mangroves in various regions of China in 2015. b. Construction purpose Mangrove forests are woody plant communities that grow in intertidal zones or river estuaries along tropical and subtropical coasts.
Mangroves are a typical type of coastal swamp wetland, and due to their unique characteristics of land sea transition, they have a special response and feedback on the dual impacts of climate change and human activities. Mangroves are an important target for international biodiversity conservation. In recent years, China has continuously increased its efforts in mangrove protection and restoration, becoming one of the few countries in the world with a net increase in mangrove area.
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Monitoring the spatial distribution of mangroves in China can provide scientific basis for the protection and management of mangrove ecosystems in China, provide baseline year (2015) data for the United Nations Sustainable Development Goals (SDGs), track the implementation progress of SDGs, especially SDG 6.6, SDG 14.2, and SDG 15.1, and provide key data support for specific implementation actions of the International Convention on Wetlands. c.
Service object It can widely serve scientific and technological workers, government management agencies, and public environmental organizations in disciplines such as geography, ecology, environmental science and technology. d. Time range of data 2015 e. The spatial range of data All mangrove growing areas within China, including the coastal areas of Zhejiang, Fujian, Taiwan, Guangdong (including Hong Kong and Macau), Guangxi, and Hainan.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.iga.00361 ↗
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
- Tabular 65%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.IGA.00361 | 8 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| 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:tabular | 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 |