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Remote Sensing for Natural Resources    2024, Vol. 36 Issue (3) : 187-195     DOI: 10.6046/zrzyyg.2023136
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InVEST model-based analysis of spatiotemporal evolution characteristics of habitat quality in the ecological green integrated demonstration area, Yangtze River Delta
ZHAO Qiang1(), WANG Tianjiu2(), WANG Tao3, CHENG Sudan4
1. Faculty of Environmental and Surveying Engineering, Suzhou University, Suzhou 234000, China
2. Kunyu Mountain Forest Farm, Yantai 264112, China
3. Shaoxing Natural Resources and Planning Bureau Shangyu Branch, Shaoxing 312300, China
4. Hangzhou Geotechnical Engineering & Surveying Research Institute Limited Company, Hangzhou 310012,China
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Abstract  

Assessing regional habitat quality holds great significance for maintaining regional biodiversity, enhancing human well-being, and achieving regional sustainable development. Based on the land use data of 2000, 2010, and 2020, this study analyzed the spatiotemporal characteristics of the habitat quality in the ecological green integrated demonstration area in the Yangtze River Delta using the InVEST model and the habitat quality index method. Furthermore, this study explored the relationship between regional habitat quality and land use. Key findings are as follows: ① From 2000 to 2020, the study area exhibited moderate habitat quality, with the habitat quality index trending downward and the habitat degradation gradually mitigating. Regarding the districts and counties in this area, Qingpu District of Shanghai, Wujiang District of Suzhou, Jiangsu, and Jiashan County of Jiaxing, Zhejiang (the two districts and one county) showed a downward trend in the habitat quality from 2000 to 2010. In contrast, from 2010 to 2020, Qingpu District and Jiashan County exhibited improved habitat quality, while Wujiang District still maintained a downward trend in the habitat quality; ② From 2000 to 2020, the study area primarily featured moderate habitat, with major land types including cultivated land and grassland. During this period, the water and wetland areas in the north and center, respectively exhibited the highest habitat quality, while the construction land in the study area displayed poor and inferior habitat; ③ There is a strong correlation between the habitat quality and land use structure in the study area. Specifically, areas with more intense changes in land use feature more significant variations in habitat quality. The results of this study will provide a reference for biodiversity conservation and land use management in the study area.
Keywords habitat quality      land use      transition matrix      InVEST model      biodiversity      spatiotemporal characteristic     
ZTFLH:  P237  
  TP79  
Issue Date: 03 September 2024
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Qiang ZHAO
Tianjiu WANG
Tao WANG
Sudan CHENG
Cite this article:   
Qiang ZHAO,Tianjiu WANG,Tao WANG, et al. InVEST model-based analysis of spatiotemporal evolution characteristics of habitat quality in the ecological green integrated demonstration area, Yangtze River Delta[J]. Remote Sensing for Natural Resources, 2024, 36(3): 187-195.
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https://www.gtzyyg.com/EN/10.6046/zrzyyg.2023136     OR     https://www.gtzyyg.com/EN/Y2024/V36/I3/187
Fig.1  Location of ecological green integrated demonstration area in Yangtze River Delta
威胁因子 最大影响距离/km 权重 衰退类型
耕地 0.5 0.2 线性
建设用地 5.0 0.5 指数
Tab.1  Threat factors and weights of research area
土地利用类型 生境适宜度 敏感度
耕地 建设用地
耕地 0.3 0.0 0.5
林地 1.0 0.4 0.6
草地 0.7 0.3 0.4
湿地 1.0 0.4 0.5
水域 0.9 0.6 0.7
建设用地 0.0 0.0 0.0
Tab.2  Appropriateness of life realm and its sensitivity to different thveat factors
乡级行政区 2000年 2010年 2020年 乡级行政区 2000年 2010年 2020年
白鹤镇 0.540 0.512 0.505 天凝镇 0.560 0.579 0.606
华新镇 0.460 0.405 0.336 干窑镇 0.572 0.558 0.598
重固镇 0.553 0.522 0.518 魏塘街道 0.517 0.454 0.491
香花桥街道 0.548 0.426 0.384 惠民街道 0.542 0.467 0.475
徐泾镇 0.449 0.340 0.286 罗星街道 0.543 0.459 0.420
赵巷镇 0.534 0.482 0.418 大云镇 0.553 0.517 0.514
夏阳街道 0.515 0.526 0.523 黎里镇 0.906 0.876 0.876
盈浦街道 0.532 0.484 0.374 同里镇 0.838 0.795 0.665
太湖新城镇 0.947 0.953 0.818 朱家角镇 0.866 0.865 0.956
金泽镇 0.840 0.806 0.855 平望镇 0.796 0.786 0.774
练塘镇 0.577 0.632 0.693 盛泽镇 0.610 0.547 0.517
西塘镇 0.606 0.625 0.600 震泽镇 0.687 0.599 0.639
姚庄镇 0.640 0.677 0.651 七都镇 0.733 0.695 0.925
陶庄镇 0.722 0.786 0.841 桃源镇 0.543 0.512 0.545
Tab.3  Average value of habitat quality index of all township-level divisions in ecological green integrated demonstration area in Yangtze River Delta from 2000 to 2020
Fig.2  Spatial distribution of habitat quality of ecological green integrated demonstration area in Yangtze River Delta
Fig.3  Grade schematic diagram of habitat quality of all township-level divisions in ecological green integrated demonstration area in Yangtze River Delta in 2000, 2010 and 2020
Fig.4  Land use changes of ecological green integrated demonstration area in Yangtze River Delta in 2000, 2010 and 2020
年份 指标 耕地 林地 草地 湿地 水域 建设用地
2000年 面积/km2 1 589.75 0.00 0.05 0.26 542.75 267.78
2010年 面积/km2 1 407.73 0.05 0.74 0.72 541.71 449.61
2020年 面积/km2 1 147.12 29.40 13.27 0.10 555.72 654.96
2000—2010年 面积变化量/km2 -182.02 0.05 0.69 0.45 -1.04 181.83
动态度/% -1.14 — 138.00 17.30 -0.02 6.79
2010—2020年 面积变化量/km2 -260.61 29.36 12.53 -0.62 14.01 205.35
动态度/% -1.85 — 169.00 -8.61 0.25 7.66
2000—2020年 面积变化量/km2 - 442.63 29.40 13.22 -0.16 12.97 387.18
动态度/% -1.39 — 1 322.00 -3.07 0.12 7.22
Tab.4  Land use changes of ecological green integrated demonstration area in Yangtze River Delta from 2000 to 2020
Fig.5  Diagram of land use type changes in 2000, 2010 and 2020
乡级
行政区		 2000—
2010年		 2010—
2020年		 乡级
行政区		 2000—
2010年		 2010—
2020年
白鹤镇 2.50 0.17 天凝镇 0.42 3.78
华新镇 3.27 3.94 干窑镇 2.76 2.48
重固镇 3.32 0.22 魏塘街道 3.70 2.28
香花桥街道 6.39 2.27 惠民街道 4.30 3.12
徐泾镇 5.25 5.67 罗星街道 4.78 3.48
赵巷镇 5.22 4.14 大云镇 2.08 2.76
夏阳街道 3.77 1.13 黎里镇 0.62 2.14
盈浦街道 3.46 3.97 同里镇 2.09 3.07
太湖新城镇 1.36 2.79 朱家角镇 0.49 2.53
金泽镇 0.13 1.19 平望镇 0.25 2.07
练塘镇 2.67 1.36 盛泽镇 1.80 4.44
西塘镇 0.39 0.76 震泽镇 1.70 4.42
姚庄镇 2.61 0.67 七都镇 0.79 6.79
陶庄镇 1.14 1.58 桃源镇 0.64 1.87
Tab.5  Dynamic degree with comprehensive land use of township-level divisions(%)
时间段 2000—2010年 2010—2020年
Pearson相关系数 0.750**① 0.461*
Tab.6  Correlation of changes between land use and habitat quality
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