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Data from: Habitat security pattern of migratory birds in Dalian (transit station)

Cite this dataset

Duan, Yueying (2024). Data from: Habitat security pattern of migratory birds in Dalian (transit station) [Dataset]. Dryad. https://doi.org/10.5061/dryad.w9ghx3fz4

Abstract

Dalian is an important "transit station" for migratory birds in the East Asian-Australasian flyway,located at the throat of the habitat of migratory birds in the Yellow (Bohai) Sea, and is an important stop,foraging and breeding place for migratory birds in the long-distance migration process.Based on the idea of Land-sea integration, this study aims to promote the improvement of the ecological environment of migratory bird habitats, enhance species diversity, and strengthen population exchange, identify the habitat security pattern in the "transit station" area, and put forward restoration suggestions. By selecting important habitat patches from the MSPA model, landscape connectivity analysis, and important bird habitats in Dalian, the random movement of birds was simulated through circuit theory, and the ecological corridors and important corridor nodes of migratory birds were identified to construct a habitat security pattern. The results of the study identified the ecological reserves, key areas, and areas to be restored in the study area. Among them, the areas to be restored are graded according to the importance of ecological security, and targeted restoration strategies are proposed. The habitat security pattern of migratory birds constructed in this paper can provide a scientific basis for the protection of migratory bird habitats.

README: Habitat security pattern of migratory birds in Dalian "transit station"

https://doi.org/10.5061/dryad.w9ghx3fz4

In this paper, DEM data were used to identify land use types, and some habitats were identified through MSPA and landscape connectivity analysis, which were supplemented with protected area data.

The resistance surface was constructed using DEM, land use type, NDVI, river network, road network, coastline data, and population density data.

Ecological corridors and nodes are identified through circuit theory, and the ecological security pattern is constructed.

Description of the data and file structure

1.DEM:ASTGTM2_N38E120_num.tif(2021);ASTGTM2_N38E121_num.tif(2021);ASTGTM2_N39E121_num.tif(2021);ASTGTM2_N39E122_num.tif(2021);ASTGTM2_N39E123_num.tif(2021);ASTGTM2_N40E121_num.tif(2021);ASTGTM2_N40E122_num.tif(2021);ASTGTM2_N40E123_num.tif(2021).1. Data source: Geospatial Data Cloud. Through ENVI and GIS processing, the elevation vector map, coastline data and land use type map of Dalian can be obtained, which can be used as resistance factors.

2. NDVI2021.tif Source: Geospatial Data Cloud. This paper is used to identify resistance factors and construct resistance surfaces.

3. Protected area data.exl;Protected area data.shp.Data source: China Nature Reserve Biological Specimen Resource Sharing Platform http://www.papc.cn/, This paper uses secondary data to assist in habitat identification.

4. gis_osm_roads_free_1.prj Source: OSM. The distance resistance factor from the road was obtained by GIS processing.

5. gis_osm_railways_free_1.prj The distance resistance factor from the road was obtained by GIS processing.

6. gis_osm_waterways_free_1.prj . Data source: OSM .The distance resistance factor from the water source is obtained through GIS processing.

7. gis_osm_water_a_free_1.prj  Data source: OSM .The distance resistance factor from the water source is obtained through GIS processing.

8. Map data:The map of Dalian is downloaded from Amap's review number: GS Jing (2022) No. 1061

The review number of the map of China is GS (2020) No. 4619

Sixth Tone migratory bird migration https://www.thepaper.cn,the review number of the base map world map is GS (2016) No. 1562

Sharing/Access information

Data type                         Data accuracy                   Data source

Bird species in Dalian City China Bird Watching Record Center(http://www.birdreport.cn/)

Dalian Nature Reserve A biological specimen resource sharing platform for nature reserves in China (http://www.papc.cn/)

Digital elevation model(DEM) 2021  30m Geospatial data cloud

Normalized difference vegetation index(NDVI) 2021  30m Geospatial data cloud

Current land use classification 2021  30m Geospatial data cloud for remote sensing image interpretation

Dalian city coastline vector map 2021  30m Geospatial data cloud for remote sensing image interpretation

River networks, road networks, building data 1km https://www.openstreetmap.org/

Population density data      10km             https://landscan.ornl.gov/

Code/Software

This article is no-code to use.

Funding

National Natural Science Foundation of China, Award: 41701123