Dataset List

Vol.|Area

Data Details

Spatiotemporal Evolution Dataset of Habitat Quality and Multi-scenario Simulation in Yuanjiang-Jinshajiang-Minjiang Dry Valleys (2000-2040)


GUO Yalin1WANG Yucai1YAN Weipo2WANG Qing1ZHANG Yu1
1 School of Environment and Resource,Southwest University of Science and Technology,Mianyang 6210102 Sichuan Academy of Environmental Policy and Planning,Chengdu 610041

DOI:10.3974/geodb.2026.06.03.V1

Published:June. 2026

Visitors:21       Data Files Downloaded:0      
Data Downloaded: 无      Citations:

Key Words:

dry valleys,land use change,habitat quality evolution,FLUS-InVEST model,multi-scenario simulation

Abstract:

Dry valleys are typical ecologically fragile areas in the Hengduan Mountains, and their environment quality change is of a special indicative significance for regional ecological security. The Yuanjiang dry-hot valley, the Jinshajiang dry-warm valley (Shangri-La-Lijiang section), and the upper Minjiang dry-temperate valley were taken as the study area. Based on land use data from 2000, 2010, and 2020, we constructed a FLUS-InVEST coupled model to analyze the spatiotemporal evolution of historical habitat quality, and set up three scenarios—natural development, cropland protection, and ecological restoration—to simulate the landuse patterns in 2040, to obtain the spatiotemporal evolution dataset of habitat quality and multi-scenario simulation in Yuanjiang-Jinshajiang-Minjiang dry valleys (2000-2040). The dataset includes: (1) geo-location of the study area; (2) land use data at 1 km resolution for each valley under the three scenarios for 2040; (3) spatial distribution data of habitat quality at 1 km resolution for each valley for 2000, 2010, 2020, and 2040 (three scenarios); and (4) statistical data on habitat quality for each valley in different periods. The dataset is archived in .shp, .tif, .xls and .txt formats, and consists of 179 data files with data size of 967 KB (Compressed into one file with 679 KB).

Foundation Item:

Natural Science Foundation of Sichuan Province (2026NSFSC1172); Ministry of Science and Technology of P. R. China (2015BAC05B05-01); National Natural Science Foundation of China (41071115);

Data Citation:

GUO Yalin, WANG Yucai, YAN Weipo, WANG Qing, ZHANG Yu. Spatiotemporal Evolution Dataset of Habitat Quality and Multi-scenario Simulation in Yuanjiang-Jinshajiang-Minjiang Dry Valleys (2000-2040)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2026. https://doi.org/10.3974/geodb.2026.06.03.V1.
.

References:


     [1] Wang, Z. L., Hu, B., Bao, W. K., et al. Latitudinal patterns and underlying factors of component biomass in plant communities in the arid valley of southwest China [J]. Chinese Journal of Plant Ecology, 2022, 46(5): 539-551.
     [2] Zhang, R. Z. The Dry Valleys of the Hengduan Mountains Region [M]. Beijing: Science Press, 1992.
     [3] Fan, J. R., Yang, C., Bao, W. K., et al. Distribution scope and district statistical analysis of dry valleys in Southwest China [J]. Mountain Research, 2020, 38(2): 303-313.
     [4] Zhang, Y. Z., Hu, Y. F., Han, Y. Q., et al. Spatial distributions and evolutions of global major ecological degradation regions and research hotspot regions [J]. Acta Ecologica Sinica, 2021, 41(19): 7599-7613.
     [5] Li, Y. X., Liu, Z. S., Li, S. J., et al. Multi-scenario simulation analysis of land use and carbon storage changes in Changchun City based on FLUS and InVEST model [J]. Land, 2022, 11(5): 647.
     [6] Lin, W. B., Sun, Y. M., Nijhuis, S., et al. Scenario-based flood risk assessment for urbanizing deltas using future land-use simulation (FLUS): Guangzhou Metropolitan Area as a case study [J]. Science of the Total Environment, 2020, 739: 139899.
     [7] Su, J. C., Tang, B., Liu, Y., et al. Multi-scenario land use change simulation and ecosystem service function evaluation in Bazhong City based on FLUS model [J]. Environmental Ecology, 2023, 5(11): 17-25.
     [8] Zuo, Q., Zhou, Y., Wang, L., et al. Impacts of future land use changes on land use conflicts based on multiple scenarios in the central mountain region, China [J]. Ecological Indicators, 2022, 137: 108743.
     [9] Zhang, X., Li, Y. X., Lü, C. J., et al. Research progress on application of ecosystem service functions based on InVEST model [J]. Ecological Science, 2022, 41(1), 237-242.
     [10] Wang, B. X., Cheng, W. M. Effects of land use/cover on regional habitat quality under different geomorphic types based on InVEST model [J]. Remote Sensing, 2022, 14(5): 1279.

Data Product:

ID Data Name Data Size Operation
1 HabitatQuality&Simulation_2000-2040.rar 679.22KB
Co-Sponsors
Superintend