Land-Use Change and Ecosystem Services
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Soil Conservation and Sustainability".
Deadline for manuscript submissions: closed (20 May 2023) | Viewed by 4346
Special Issue Editors
2. Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
Interests: fluvia processes; river channel change; sediment transport; landscape evolution; hydromorphology
Special Issues, Collections and Topics in MDPI journals
Interests: spatiotemporal big data analysis; GeoAI; remote sensing AI; deep learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Human beings are significantly changing the terrestrial land cover by transforming vast wild areas into human-dominated land-use types. Intense land-use change can increase soil and nutrient erosion and reduce crop yield, and conversions between different land-use types can degrade ecosystem function and erode biodiversity. Maintaining balance between land use and ecosystem services is critical to our sustainable socio-economic development. Although many scientists have worked on related topics, more efforts are still needed to get detailed knowledge of land-use change and its effects. The advancements of big data, artificial intelligence and cloud computing technologies will help enhance the reliability and replicability of our findings. This Special Issue aims to collect high-quality research targeting the use of big data and deep learning in land-use analyses.
Potential studies should focus on the following and other relevant themes:
- Land-use change and its relevant impacts on ecosystem services;
- Environmental degradation caused by land-use change;
- Land-use induced biodiversity loss and ecosystem transformation;
- Drivers of land-use change;
- Sustainable interaction between land use and ecosystem function;
- The use of big data and cloud computing in land-use analysis;
- Deep-learning-based land use and ecosystem analytic models.
Dr. Yuanxu Ma
Dr. Shaohua Wang
Dr. Xun Zhang
Guest Editors
Manuscript Submission Information
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Keywords
- land use
- land cover
- soil erosion
- ecosystem services
- ecosystem restoration
- biodiversity conservation
- climate change
- anthropogenic disturbance
- sustainable development
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