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Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
[Wetland landscape pattern change based on GIS and RS: a review]
Fan-Ting Kong1, Min Xi, Yue Li
1College of Chemical and Environmental Engineering, Qingdao University, Qingdao 266071, Shandong, China. kongfanting1988@126.com
Ying Yong Sheng Tai Xue Bao = the Journal of Applied Ecology
|August 1, 2013
Summary
This review synthesizes research on wetland landscape change using geographic information system (GIS) and remote sensing (RS). It highlights methods, indices, and drivers, offering insights for future wetland monitoring and conservation.
Area of Science:
- Ecology
- Environmental Science
Context:
- Wetlands are vital ecosystems supporting high biodiversity and providing essential natural resources.
- Wetland landscape patterns result from complex ecological processes and are crucial for ecosystem health.
- Understanding wetland landscape change is critical for sustainable resource management and conservation efforts.
Purpose:
- To review research progress on wetland landscape change utilizing geographic information system (GIS) and remote sensing (RS) technologies.
- To analyze research methods, landscape pattern indices, and driving forces of wetland landscape evolution.
- To discuss the application of GIS and RS in monitoring wetland changes and understanding human-nature interactions.
Summary:
- The review covers research methods for analyzing wetland landscape patterns, including various indices used to quantify pattern characteristics.
- It examines the driving forces behind wetland landscape pattern evolution, considering both natural and anthropogenic factors.
- The integration of GIS and RS is identified as a key approach for effective wetland monitoring and change detection.
Impact:
- Identifies current research gaps and proposes future research directions for wetland landscape studies.
- Provides a comprehensive overview to guide researchers and policymakers in wetland conservation and management.
- Emphasizes the importance of advanced technologies like GIS and RS for informed decision-making in wetland ecosystems.
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