JI Yongfan, JIA Lujing, YANG Lian'an, et al. Spatio-temporal Evolution and Prediction Analysis of Habitat Quality in Yulin City Coupled with InVEST-PLUS Model[J]. 2023, 37(1): 123-132.
DOI:
JI Yongfan, JIA Lujing, YANG Lian'an, et al. Spatio-temporal Evolution and Prediction Analysis of Habitat Quality in Yulin City Coupled with InVEST-PLUS Model[J]. 2023, 37(1): 123-132. DOI: 10.13870/j.cnki.stbcxb.2023.01.018.
Spatio-temporal Evolution and Prediction Analysis of Habitat Quality in Yulin City Coupled with InVEST-PLUS Model
Habitat quality is an important reference index to measure the quality of a region’s ecological environment
and research on land use change can provide a scientific basis for evaluating the spatio-temporal dynamic evolution characteristics of regional habitat quality. Based on the land use data in 1980
2000 and 2018
this paper analyzes and predicts the change of land use in Yulin City through the InVEST model
PLUS model
and geographic information map method
so as to explore the spatio-temporal evolution characteristics of habitat quality in Yulin City
Shaanxi Province. The conclusions are as follows: (1) The landscape matrix in Yulin City is mainly composed of grassland and cultivated land
followed by forest land and unused land
while water and construction land account for a relatively small proportion. The implementation of the policy of returning farmland to forest
the development of desertification control projects
and the development of construction land are the main driving factors of land use change. (2) From the overall analysis of the region
the average habitat quality in 1980
2000
2018 and 2030 is 0.502 8
0.520 9
0.518 3 and 0.525 9
respectively. The overall habitat value does not change much
showing a fluctuating trend of first increase
then decrease and then increase. From the analysis of the spatial pattern
the distribution of habitat quality in Yulin City has a certain regularity
and the overall pattern is high in the east and low in the west. The average value of habitat degradation in Yulin City is 0.029 8
0.028 9
0.029 2 and 0.028 3
respectively
indicating the threat of habitat degradation. The research results have theoretical support and policy significance for the protection of the natural environment and the improvement of habitat quality in Yulin City.
Liang X, Guan Q F, Clarke K C, et al. Understanding the drivers of sustainable land expansion using a patch-generating land use simulation (PLUS) model:A case study in Wuhan,China[J].Computers,Environment and Urban Systems,2021,85(6):101569-101583.
Zhang S H, Zhong Q L, Cheng D L, et al. Landscape ecological risk projection based on the PLUS model under the localized shared socioeconomic pathways in the Fujian Delta region[J].Ecological Indicators,2022,136(9):108642-108655.
Zhang X R, Zhou J, Li G N, et al. Spatial pattern reconstruction of regional habitat quality based on the simulation of land use changes from 1975 to 2010[J].Journal of Geographical Sciences,2020,30(4):601-620.
Karimi J D, Corstanje R, Harris J A. Bundling ecosystem services at a high resolution in the UK:Trade-offs and synergies in urban landscapes[J].Landscape Ecology,2021,36(6):1817-1835.
Imran M, Din N. Geospatially mapping carbon stock for mountainous forest classes using InVEST model and Sentinel-2 data:A case of Bagrote valley in the Karakoram range[J].Arabian Journal of Geosciences,2021,14(9):756-768.
Deepakshi B, Areendran G, Mehebub S, et al. Assessment and prediction of carbon sequestration using Markov chain and InVEST model in Sariska Tiger Reserve,India[J].Journal of Cleaner Production,2021,27(8):123-140.
Gong J, Xie Y C, Cao E J, et al. Research on the change of mountain plant diversity based on the InVEST habitat quality model and landscape pattern index:Taking the Bailong River Basin in Gansu as an example[J].Journal of Geographical Sciences,2019,29(7):1193-1210.
Jlanhua H, Junlong H, Chun L. The evaluation for the impact of land use change on habitat quality:A joint contribution of cellular automata scenario simulation and habitat quality assessment model[J].Ecological Modelling,2017,35(5):366-378.
杨存建.地学信息图谱思想与实践探索[J].地球信息科学学报,2020,22(4):697-704.
Ding Q L, Chen Y, Bu L T, et al. Multi-Scenario analysis of habitat quality in the Yellow River Delta by Coupling FLUS with InVEST Model[J].International Journal of Environmental Research and Public Health,2021,18(5):2389-2408.
Yang L Y, Sun Z H, Li J F, et al. Spatiotemporal patterns and driving forces of land-use and land-cover change in the Mu Us Sandy Land,China from 1980 to 2018[J].Arid Land Research and Management,2022,36(1):109-124.
Song Y N, Wang M, Sun X F, et al. Quantitative assessment of the habitat quality dynamics in Yellow River Basin,China[J].Environmental Monitoring and Assessment,2021,193(9):614-614.
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Related Institution
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