Spatial heterogeneity of ecosystem services in response to landscape patterns under the Grain for Green Program
A case‐study in Kaihua County, China
Bibliographic Data
Understanding the impact of landscape patterns on ecosystem services (ES) is crucial for the design and management of ecological restoration programs. However, the impacts of landscape configuration on ES from a geospatial perspective have not been studied sufficiently. This study analyzed the landscape composition and pattern changes and quantified the changes in water yield, carbon storage, soil retention, water purification, and habitat quality under the Grain for Green Program (GFGP) from 2000 to 2020 in Kaihua County. The responses of ES to landscape patterns were revealed by geographic detector and geographically weighted regression models. The results showed that landscape fragmentation and diversity increased, and forest landscape area and aggregation increased because of the GFGP implementation. Water yield declined with the decrease in the mean patch area of the landscape, while other ES improved due to the increase in Shannon's diversity index and largest patch index. The interspersion and juxtaposition of cropland and forest land played an important role in improving ES under the GFGP. In addition, some ES may be closely related to natural factors and connection to landscape patterns, such as soil retention and topography, water yield and precipitation, but this response to landscape pattern changes was captured due to the subjective nature of the GFGP. The results can provide scientific guidance for forest landscape restoration to better improve ES
Biology · Cartography · Diversity index · Ecosystem · Ecosystem services · Environmental resource management · Geography · Geospatial analysis · Habitat · Landscape ecology · Species richness · Conservation, Biodiversity, and Resource Management · Environmental Science · Forest Management and Policy · Land Use and Ecosystem Services · Ecology
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| Unique citing works | 8 |
|---|---|
| Citations per year | 2,67 |
| Citation span | 2023 - 2026 (4) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 8 |