Author
Listed:
- Yuchao Zhang
(Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China)
- Steven Loiselle
(Dipartimento di Biotecnologie, Chimica e Farmacia, University of Siena, CSGI, Via Aldo Moro 2, 53100 Siena, Italy
Earthwatch Europe, 256 Banbury Road, Oxford OX2 7DE, UK)
- Yimo Zhang
(WWF China, Beijing 100037, China)
- Qian Wang
(WWF China, Beijing 100037, China)
- Xia Sun
(WWF China, Beijing 100037, China)
- Minqi Hu
(Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
University of Chinese Academy of Sciences, Beijing 100049, China)
- Qiao Chu
(Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
University of Chinese Academy of Sciences, Beijing 100049, China)
- Yuanyuan Jing
(Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
University of Chinese Academy of Sciences, Beijing 100049, China)
Abstract
The largest blue-green infrastructures in industrialized, urbanized and developed regions in China are often multiuse wetlands, located just outside growing urban centers. These areas have multiple development pressures while providing environmental, economic, and social benefits to the local and regional populations. Given the limited information available about the tradeoffs in ecosystem services with respect to competing wetland uses, wetland managers and provincial decision makers face challenges in regulating the use of these important landscapes. In the present study, measurements made by citizen scientists were used to support a comparative study of water quality and wetland functions in two large multiuse wetlands, comparing areas of natural wetland vegetation, tourism-based wetland management and wetland agriculture. The study sites, the Nansha and Tianfu wetlands, are located in two of the most urbanized areas of China: the lower Yangtze River and Pearl River catchments, respectively. Our results indicated that the capacity of wetlands to mitigate water quality is closely related to the quality of the surrounding waters and hydrological conditions. Agricultural areas in both wetlands provided the lowest sediment and nutrient retention. The results show that the delivery of supporting ecosystem services is strongly influenced by the location and use of the wetland. Furthermore, we show that citizen scientist-acquired data can provide fundamental information on quantifying these ecosystem services, providing needed information to wetland park managers and provincial wetland administrators.
Suggested Citation
Yuchao Zhang & Steven Loiselle & Yimo Zhang & Qian Wang & Xia Sun & Minqi Hu & Qiao Chu & Yuanyuan Jing, 2021.
"Comparing Wetland Ecosystems Service Provision under Different Management Approaches: Two Cases Study of Tianfu Wetland and Nansha Wetland in China,"
Sustainability, MDPI, vol. 13(16), pages 1-17, August.
Handle:
RePEc:gam:jsusta:v:13:y:2021:i:16:p:8710-:d:608309
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Citations
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Cited by:
- Jan Pawluczuk & Arkadiusz Stępień, 2023.
"Dynamics of Organic Nitrogen Compound Mineralization in Organic Soils under Grassland, and the Mineral N Concentration in Groundwater (A Case Study of the Mazurian Lake District, Poland),"
Sustainability, MDPI, vol. 15(3), pages 1-17, February.
- Jinzhao Chen & Zhixiong Mei & Bin Wang & Junchao Wei, 2022.
"Construction of Ecological Security Patterns Based on Circuit Theory under the Resistance Distance Principle,"
IJERPH, MDPI, vol. 19(10), pages 1-15, May.
- Balakrishnan Lekshmi & Dipanjan Saha & Rahul S. Sutar & Richa Singh & Shardul D. Prabhu & Arundhati M. Kamat & Shruti Sharma & Raghuvansh Saxena & Steven Loiselle & Shyam R. Asolekar, 2021.
"Science & Technology Agenda for Blue-Green Spaces Inspired by Citizen Science: Case for Rejuvenation of Powai Lake,"
Sustainability, MDPI, vol. 13(18), pages 1-23, September.
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