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Water
Volume 14
Issue 11
10.3390/w14111790
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Article

Spatio-Temporal Variations and Socio-Economic Driving Forces for Wetland Area Changes: Insights from 2008–2017 Data of Yunnan Province, China

by
Zhongqing Yan
1,2,3,
Kerou Zhang
1,2,3,
Qin Peng
4,5,
Enze Kang
1,2,3,
Meng Li
1,2,3,
Xiaodong Zhang
1,2,3,
Yong Li
1,2,3,
Liang Yan
1,2,3,
Xiaodong Wang
1,2,3,
Ao Yang
1,2,3,
Yuechuan Niu
5 and
Xiaoming Kang
1,2,3,*
1
Wetland Research Center, Institute of Ecological Conservation and Restoration, Chinese Academy of Forestry, Beijing 100091, China
2
Beijing Key Laboratory of Wetland Services and Restoration, Chinese Academy of Forestry, Beijing 100091, China
3
Sichuan Zoige Wetland Ecosystem Research Station, Tibetan Autonomous Prefecture of Aba 624500, China
4
Key Laboratory of Land Surface Patterns and Simulation, Institute of Geographic Science and Natural Resource Research, Chinese Academy of Sciences, Beijing 100101, China
5
College of Life Sciences, University of the Chinese Academy of Sciences, Beijing 100049, China
*
Author to whom correspondence should be addressed.
Academic Editor: Abasiofiok Mark Ibekwe
Water 2022, 14(11), 1790; https://doi.org/10.3390/w14111790
Received: 12 May 2022 / Revised: 29 May 2022 / Accepted: 31 May 2022 / Published: 2 June 2022
(This article belongs to the Special Issue Impact of Climate Change on Wetland Dynamics and Processes)
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Abstract

An in-depth understanding of the associations between variations in the wetland area and socio-economic driving forces is essential owing to rapid urbanization. However, to date, no study has performed a quantitative study on the relationships between spatio-temporal patterns for wetland area variations and socio-economic driving factors in Yunnan Province. Based on Statistical Yearbook data, we found that during 10 years, different types of wetlands exhibited different change rates, with obvious spatial heterogeneity. The overall increase in wetland area in Yunnan Province was 13.35%, of which the increases in river, lake, and swamp wetland areas were 46.39%, −3.12%, and 295.56%, respectively. At the city level, the maximum decrease and increase in total wetland area were noted in Xishuangbanna (−84.30%) and Diqing (+185.22%), respectively. A total of 9 of 24 factors which were further selected according to collinearity diagnostics might help interpret changes in the wetland area of Yunnan Province according to the regression analysis results (R2 = 0.749, p < 0.01). Moreover, in different city development periods, the key socio-economic factors were different, which should be considered separately when formulating policies. Our results may clarify the socio-economic influencing factors for wetland spatio-temporal changes and help to guide policymakers. View Full-Text
Keywords: wetland type; Yunnan province; dynamic change; driving forces wetland type; Yunnan province; dynamic change; driving forces
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MDPI and ACS Style

Yan, Z.; Zhang, K.; Peng, Q.; Kang, E.; Li, M.; Zhang, X.; Li, Y.; Yan, L.; Wang, X.; Yang, A.; Niu, Y.; Kang, X. Spatio-Temporal Variations and Socio-Economic Driving Forces for Wetland Area Changes: Insights from 2008–2017 Data of Yunnan Province, China. Water 2022, 14, 1790. https://doi.org/10.3390/w14111790

AMA Style

Yan Z, Zhang K, Peng Q, Kang E, Li M, Zhang X, Li Y, Yan L, Wang X, Yang A, Niu Y, Kang X. Spatio-Temporal Variations and Socio-Economic Driving Forces for Wetland Area Changes: Insights from 2008–2017 Data of Yunnan Province, China. Water. 2022; 14(11):1790. https://doi.org/10.3390/w14111790

Chicago/Turabian Style

Yan, Zhongqing, Kerou Zhang, Qin Peng, Enze Kang, Meng Li, Xiaodong Zhang, Yong Li, Liang Yan, Xiaodong Wang, Ao Yang, Yuechuan Niu, and Xiaoming Kang. 2022. "Spatio-Temporal Variations and Socio-Economic Driving Forces for Wetland Area Changes: Insights from 2008–2017 Data of Yunnan Province, China" Water 14, no. 11: 1790. https://doi.org/10.3390/w14111790

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