RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN >> 2023, Vol. 32 >> Issue (10): 2184-2195.doi: 10.11870/cjlyzyyhj202310016

Previous Articles     Next Articles

Evolution and Prediction of Habitat Quality in the Three Gorges  Reservoir (Chongqing section) Based on the InVEST-PLUS Model

LIANG Tian1,2, HUANG Xi2, YANG Fei3, MAO Yi-ran2,LUO Yin-chen4,  WEN Chuan-hao5, REN Xiao-hong1   

  1. (1.College of Economics and Management, Chongqing Jiaotong University, Chongqing 400074 China; 2.College of Public Management, Chongqing Finance and Economics College,Chongqing 401320, China; 3.Research Center for Economy of Upper Reaches of the Yangtze River, Chongqing Technology and Business University, Chongqing 400067, China;4.College of Economics, Chongqing Finance and Economics College, Chongqing 401320, China; 5.College of Economics, Yunnan University, Kunming 650091, China)
  • Online:2023-10-20 Published:2023-10-26

Abstract: Habitat quality is an important representation of biodiversity maintenance capacity.The study of land use change can provide a scientific basis for the assessment of spatiotemporal dynamic evolution characteristics of regional habitat quality. Based on the land use data in 2000, 2010, and 2020.The bubble map method, InVEST model, and PLUS model were integrated to evaluate and predict the land use transformation and associated habitat quality evolution in the Three Gorges Reservoir Area (Chongqing section) from 2000 to 2030.Ecological contribution rates were used to explore the types of land use transfers that ledto the improvement and deterioration of habitat quality. The results showed that: (1) From 2000 to 2020, the center of gravity of various types of land use changed significantly, the area of cultivated land and grassland showed a trend of continuous decline, and the area of construction land continued to increase.The trend of land use change from 2020 to 2030 was basically the same as that from 2000 to 2020, and the cultivated land was mainly transformed into construction land. (2) Habitat quality was greatly affected by the intensity of human activities. The habitat quality in the study area was mainly “medium” and “excellent”.From 2000 to 2020, the habitat quality showed a trend of an increase, followed bya decrease. From 2020 to 2030, habitat quality showed a trend of continuous decline. (3) There are two trends of habitat quality: improvement and deterioration. The conversion of cultivated land to woodland and grassland from 2000 to 2020 was the main reason for the improvement of habitat quality.The conversion of grassland and woodland to cultivated land was the main reason for the deterioration of habitat quality. The conversion of cultivated land and grassland to construction land was predicted to be the main cause of habitat quality deterioration during 2020-2030. The results provided important theoretical support and scientific reference for the improvement of habitat quality, optimization of territorial spatial layout, and sustainable utilization of land resources in the Three Gorges Reservoir area (Chongqing section).

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] YAO Lin, SHEN Jing, WEN Xinlong, GAO Chao. Impact of Various Parameterization Schemes in WRF Model on Wind Simulation at the mountain Wind Power Station of Jiangxi Province[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(07): 1380 .
[2] LI Lu, DONG Jie, ZHANG Jun-feng. Regional Difference and Formation Mechanism of Urban Land Use Efficiency in the Yangtze River Economic Belt[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(08): 1666 .
[3] ZHONG Ye-xi, FU Yu, ZHU Zhi-zhou, WANG Xiao-jing. Network Structure of Listed Companies Based on the Relationship of Parent and Subsidiary Enterprises:A Case of the Middle Yangtze Urban Agglomeration[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(08): 1725 .
[4] SUN Huihui, ZHANG Xinping, LUO Zidong, SHANG ChengPeng, HE Xinguang, RAO Zhiguo. Analyses on Characteristics of Extreme Precipitation Indices in the #br# Yangtze River Basin in the Past 53 Years#br#[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(08): 1879 .
[5] . Study on the spatial distribution optimization of park green spaces in the main city of Wuhan from the perspective of both equilibrium and efficiency[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, , (): 0 .
[6] . Improvement of the Evaluation Method for Ecosystem Service Value with Interference Effect of Urban Expansion[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, , (): 0 .
[7] . Spatial Agglomeration and Development Performance of Automobile Enterprises in Yangtze River Delta Urban Agglomeration[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, , (): 0 .
[8] WANG Kai, WANG Yujie, WANG Bin, ZHANG Shouhong, WANG Yunqi, WANG Chenfeng. Study on Soil Detachment Rate on a YellowSoil Hillslope[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(09): 2114 -2121 .
[9] ZHANG Xiaofeng, YAN Haochen, YUE Yao, LU Yating.  

Analysis on the Sectional Annual Runoff Change of the Jinsha River Basin in the Recent 50 Years [J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(10): 2283 -2292 .

[10] FANG Lin, , WU Fengping, WANG Xinhua, YU Yantuan.  

Analysis of Agricultural Water Efficiency Measurement and Improvement Potential Based on Meta Frontier SBM Model [J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(10): 2293 -2304 .