Abstract
Understanding the response mechanism of ecosystem services (ES) to landscape patterns is important in regional landscape planning and sustainable development. In this study, the landscape index and InVEST model were used to quantitatively analyze the spatio-temporal evolution of landscape patterns and ES in the Ganjiang River Basin of China from 1990 to 2020. Furthermore, the bivariate Moran’s I method and spatial error model were used to test the spatial correlation between landscape index and ES. The results showed that (1) cropland decreased and construction land increased, and the overall landscape tended to be fragmented, the patch shape complicated, and landscape diversity increased from 1990 to 2020. Water conservation (WC) and soil conservation (SC) capacity increased by 10.56 mm and 16.24 t hm–2 a–1, respectively, whereas carbon storage (CS) decreased by 1.22 t hm–2 a–1. (2) The responses of different typical ES to landscape patterns were different in the landscape index and response degree. Typical ES negatively responded to Shannon’s diversity index and patch density. WC was sensitive to the Splitting Index, whereas SC and CS were more responsive to the average patch area. (3) The overall purpose of territorial spatial planning within a basin should be to reduce the fragmentation and heterogeneity of the landscape. According to four local aggregation patterns of landscape index and ES, corresponding measures can be taken according to local conditions in different regions. These results can provide a quantitative basis for landscape management and ecological construction in the Ganjiang River Basin and scientific guidance for the Yangtze River conservation strategy.
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CRediT authorship contribution statement
Wei Wan,Yun Huang, and Bofu Zheng conceived the research. Shiwen Wu, Wei Wan and Bofu Zheng wrote the manuscript. Shiwen Wu, Xu Song, Yun Huang, Wei Wan, Bofu Zheng, and Hanqing Wu edited the manuscript. Zhong Liu and Jinqi Zhu contributed to the data collection. All authors reviewed the manuscript.
Abbreviations
- AREA_MN:
-
Mean patch area
- CS:
-
Carbon storage
- DEM:
-
Digital elevation model
- ES:
-
Ecosystem services
- IJI:
-
Interspersion and juxtaposition index
- LISA:
-
Local indicators of spatial association
- LM:
-
Lagrange multipliers
- PD:
-
Patch density
- Ps:
-
Trend and status index of land use types
- R-LM:
-
Robust Lagrange multipliers
- SC:
-
Soil conservation
- SDR:
-
Sediment delivery ratio
- SEM:
-
Spatial error model
- SHAPE_MN:
-
Mean patch shape index
- SHDI:
-
Shannon’s diversity index
- SLM:
-
Spatial lag model
- SPLIT:
-
Landscape splitting index
- TI :
-
Topographic index
- VIF:
-
Variance inflation factor
- WC:
-
Water conservation
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Acknowledgements
This work was supported by the Key Research and Development Program of Jiangxi Province (Grant No. 20223BBG74S01; 20223BBG71013); National Natural Science Foundation of China (Grant No. 42301091).
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Highlights
• Ganjiang River Basin landscape pattern and ES were evaluated
• Bivariate Moran's I methods and spatial regression were used for the analysis
• Impact of landscape patterns on ES were shown at the grid scale
• Landscape pattern optimization measures were proposed for four clustering methods
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Zheng, B., Wu, S., Song, X. et al. Impacts of landscape pattern evolution on typical ecosystem services in Ganjiang River Basin, China. Environ Sci Pollut Res 30, 110562–110578 (2023). https://doi.org/10.1007/s11356-023-30212-5
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DOI: https://doi.org/10.1007/s11356-023-30212-5