Author
Listed:
- Qin Jiang
(Faculty of Geography, Yunnan Normal University, Kunming 650500, China
Yunnan Key Laboratory of Plateau Geographical Processes & Environmental Changes, Kunming 650500, China)
- Zhengtao Shi
(Faculty of Geography, Yunnan Normal University, Kunming 650500, China
Yunnan Key Laboratory of Plateau Geographical Processes & Environmental Changes, Kunming 650500, China)
- Qiaoling Liang
(Faculty of Geography, Yunnan Normal University, Kunming 650500, China
Yunnan Key Laboratory of Plateau Geographical Processes & Environmental Changes, Kunming 650500, China)
- Guangxiong He
(Faculty of Geography, Yunnan Normal University, Kunming 650500, China
Tropical Eco-Agriculture Research Institute, Yunnan Academy of Agricultural Sciences, Yuanmou 651300, China
National Soil and Water Conservation Science and Technology Demonstration Park of Yunnan Yuanmou Jinlei, Yuanmou 651300, China)
- Lei Zhao
(Faculty of Geography, Yunnan Normal University, Kunming 650500, China
Yunnan Key Laboratory of Plateau Geographical Processes & Environmental Changes, Kunming 650500, China)
- Li He
(Faculty of Geography, Yunnan Normal University, Kunming 650500, China
Yunnan Key Laboratory of Plateau Geographical Processes & Environmental Changes, Kunming 650500, China)
Abstract
Southwest China’s arid river valleys represent ecologically vulnerable areas with intense human activity. Understanding the historical changes in LULC and land cover and projecting the impacts of various development scenarios on future LULC have become crucial for regional spatial information management and territorial spatial planning. This research analyzes the land-use changes in the Yuanmou dry-hot valley over a 30-year span from 1990 to 2020. Building upon the PLUS model, we established a coupled habitat quality spatial and multi-scenario land-use simulation model. Four development scenarios were proposed: natural progression, economic development, ecological conservation, and balanced development. We conducted simulations and evaluations of land-use in the Yuanmou dry-hot valley for 2030 using the PLUS mode, assessing the sustainability of future development scenarios under varying ecological constraints. During the simulation, three distinct RESI regions were employed as restricted development zones, integrating the three ecological constraints with the four simulation scenarios. We introduced a novel approach based on ecological environmental quality as the ecological constraint, providing a scientific reference for sustainable development in ecologically vulnerable areas. The results indicate that under ecological conservation scenarios with high-to-low RESI constraints, the ecological environment is superior to the other three scenarios. The results show the following: (1) From 1990 to 2020, aside from a continuous decrease in grassland area, there was an increasing trend in the areas of water bodies, forests, croplands, construction lands, and unused lands in the Yuanmou dry-hot valley. (2) By 2030, under all four development scenarios, the cropland area is expected to expand rapidly, while forested areas will decrease; grassland areas will decline under natural and economic development scenarios but show opposite trends under the other scenarios; and construction land and unused land areas will decrease under the ecological conservation and balanced development scenarios. (3) Land-use intensity analysis for the four scenarios indicated that, by 2030, unused lands in the Yuanmou dry-hot valley are more likely to be converted into water bodies, forests are more likely to be converted into croplands and grasslands, grasslands are more likely to be converted into croplands, croplands are more likely to be converted into grasslands, and construction lands are more likely to become unused lands. (4) Sustainable LULC management evaluations based on landscape indices reveal that ecological conservation and balanced development scenarios exhibit superior landscape connectivity and clustering. Thus, the balanced development scenario is the most appropriate LULC strategy for the Yuanmou dry-hot valley in the future. These findings provide scientific references for balancing ecological conservation and economic development in the arid river valleys of Southwest China.
Suggested Citation
Qin Jiang & Zhengtao Shi & Qiaoling Liang & Guangxiong He & Lei Zhao & Li He, 2023.
"Coupling RESI with Multi-Scenario LULC Simulation and Spatiotemporal Variability Analysis: An Ecological Spatial Constraint Approach,"
Sustainability, MDPI, vol. 15(22), pages 1-19, November.
Handle:
RePEc:gam:jsusta:v:15:y:2023:i:22:p:15757-:d:1276480
Download full text from publisher
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:22:p:15757-:d:1276480. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.