Multi-Dimensional Spatial and Temporal Variations of Ecosystem Service Values in the Li River Basin, 1990–2020 Article Swipe
Jinlong Hu
,
Sicheng Qiu
,
Nan Luo
,
Guo Qing
,
Chunbo Huang
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/rs15122996
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/rs15122996
Changing landscape patterns would alter ecosystem components and functions, affecting the supply of ecosystem services. Understanding the spatial and temporal variations of ecosystem services is an important basis for ecosystem management and planning decisions and is of great significance for the realization of regional sustainable development. Based on Landsat TM/OLI remote sensing images from 1990, 2000, 2010, and 2020 in the Li River Basin, we explored the spatial and temporal variabilities of ecosystem services in the Li River Basin over the past 30 years, from both horizontal and vertical dimensions, using modified equivalence factor method and spatial autocorrelation analysis. The research findings are as follows: (1) Forestland has consistently been the dominant landscape type in the Li River Basin, with its area continuously increasing, while farmland, water bodies, and grassland have decreased, and construction land and bare land have increased. (2) The value of ecosystem services in the Li River Basin exhibited an initial increase followed by a decrease trend, with a net increase of 9.20 × 108 yuan. Forestland contributed the most to the value of ecosystem services. (3) Hydrological regulation and climate regulation are the dominant functions of the Li River Basin’s ecosystems, accounting for over 50% of the total contribution. (4) The value of ecosystem services per unit area increases with increasing slope and elevation. The segments with slopes ranging from 15 to 25 degrees and elevation zones between 200 and 500 m have the highest total value of ecosystem services. (5) The overall level of ecosystem services in the Li River Basin is relatively high and continues to rise, but areas with a low ecosystem service value are gradually concentrated. (6) The Moran’s I values for ecosystem services in all four periods are greater than 0, indicating a significant positive spatial autocorrelation. The overall pattern of ecosystem services is relatively stable, but there are significant spatial variations, which are characterized by lower values in the central area and higher values in the surrounding areas. The research findings provide a scientific basis for watershed ecological environment construction, optimal allocation of land resources, and sustainable landscape management.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/rs15122996
- https://www.mdpi.com/2072-4292/15/12/2996/pdf?version=1686216549
- OA Status
- gold
- Cited By
- 8
- References
- 47
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4379927634
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4379927634Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/rs15122996Digital Object Identifier
- Title
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Multi-Dimensional Spatial and Temporal Variations of Ecosystem Service Values in the Li River Basin, 1990–2020Work title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
-
2023-06-08Full publication date if available
- Authors
-
Jinlong Hu, Sicheng Qiu, Nan Luo, Guo Qing, Chunbo HuangList of authors in order
- Landing page
-
https://doi.org/10.3390/rs15122996Publisher landing page
- PDF URL
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https://www.mdpi.com/2072-4292/15/12/2996/pdf?version=1686216549Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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https://www.mdpi.com/2072-4292/15/12/2996/pdf?version=1686216549Direct OA link when available
- Concepts
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Ecosystem services, Ecosystem, Environmental science, Drainage basin, Structural basin, Grassland, Ecosystem health, Hydrology (agriculture), Environmental resource management, Geography, Physical geography, Ecology, Geology, Cartography, Geomorphology, Geotechnical engineering, BiologyTop concepts (fields/topics) attached by OpenAlex
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8Total citation count in OpenAlex
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2025: 3, 2024: 4, 2023: 1Per-year citation counts (last 5 years)
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47Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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