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

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.

[1]  Jie Zhang,et al.  WETLAND PARK DESIGN FOR HABITAT RESTORATION —CASE STUDY ON THE QINGHUA WETLAND IN BAOSHAN, YUNNAN PROVINCE , 2020 .

[2]  I. Bianchini,et al.  An applied ecological approach for the assessment of anthropogenic disturbances in urban wetlands and the contributor river , 2020 .

[3]  Kaishan Song,et al.  National wetland mapping in China: A new product resulting from object-based and hierarchical classification of Landsat 8 OLI images , 2020, ISPRS Journal of Photogrammetry and Remote Sensing.

[4]  B. Jiang,et al.  Improving wetland ecosystem health in China , 2020 .

[5]  Daojun Zhang,et al.  Analysis of spatial variability in factors contributing to vegetation restoration in Yan'an, China , 2020, Ecological Indicators.

[6]  Li Luo,et al.  Quantifying the relative contribution of natural and human factors to vegetation coverage variation in coastal wetlands in China , 2020, CATENA.

[7]  Youzhi Li,et al.  Driving forces of changes in China’s wetland area from the first (1999–2001) to second (2009–2011) National Inventory of Wetland Resources , 2020 .

[8]  Xiang-rong Wang,et al.  Exploring the scale effects, trade-offs and driving forces of the mismatch of ecosystem services , 2019, Ecological Indicators.

[9]  H. Steinmuller,et al.  Toward a mechanistic understanding of “peat collapse” and its potential contribution to coastal wetland loss , 2019, Ecology.

[10]  Raymond Asomani-Boateng Urban Wetland Planning and Management in Ghana: a Disappointing Implementation , 2019, Wetlands.

[11]  S. Manzoni,et al.  Anthropogenic Changes in a Mediterranean Coastal Wetland during the Last Century—The Case of Gialova Lagoon, Messinia, Greece , 2019, Water.

[12]  Fangfang Shi,et al.  Toward an ecological civilization: Mass comprehensive ecotourism indications among domestic visitors to a Chinese wetland protected area , 2019, Tourism Management.

[13]  Royal C. Gardner,et al.  Global Wetland Outlook: State of the World’s Wetlands and Their Services to People , 2018 .

[14]  Lixin Ning,et al.  Spatial and temporal changes of human disturbances and their effects on landscape patterns in the Jiangsu coastal zone, China , 2018, Ecological Indicators.

[15]  S. Sannigrahi,et al.  Estimating global ecosystem service values and its response to land surface dynamics during 1995-2015. , 2018, Journal of environmental management.

[16]  Shi-liang Liu,et al.  Factors driving the relationships between vegetation and soil properties in the Yellow River Delta, China , 2018, CATENA.

[17]  Hong Zhang,et al.  Evaluation of ecosystem service based on scenario simulation of land use in Yunnan Province , 2017 .

[18]  B. Mondal,et al.  Urban expansion and wetland shrinkage estimation using a GIS-based model in the East Kolkata Wetland, India , 2017 .

[19]  K. Dwire,et al.  Potential effects of climate change on riparian areas, wetlands, and groundwater-dependent ecosystems in the Blue Mountains, Oregon, USA , 2017 .

[20]  Zhongliang Wang,et al.  Status of wetlands in China: A review of extent, degradation, issues and recommendations for improvement , 2017 .

[21]  Tao Sun,et al.  Trade-offs among ecosystem services in coastal wetlands under the effects of reclamation activities , 2017, Ecological Indicators.

[22]  Manyin Zhang,et al.  Trade-off between leaf chlorophyll and betacyanins in Suaeda salsa in the Liaohe estuary wetland in northeast China , 2017 .

[23]  Wenting Wu,et al.  Coastal wetlands facing climate change and anthropogenic activities: A remote sensing analysis and modelling application , 2017 .

[24]  V. Radeloff,et al.  Wetland loss due to land use change in the Lower Paraná River Delta, Argentina. , 2016, The Science of the total environment.

[25]  Bingfang Wu,et al.  Improvements in ecosystem services from investments in natural capital , 2016, Science.

[26]  Samarjit Kar,et al.  Assessment of environmental factors causing wetland degradation, using Fuzzy Analytic Network Process: A case study on Keoladeo National Park, India , 2015 .

[27]  B. Malekmohammadi,et al.  Ecological risk assessment of wetland ecosystems using Multi Criteria Decision Making and Geographic Information System , 2014 .

[28]  Xuexia Zhang,et al.  Wetland loss and degradation in the Yellow River Delta, Shandong Province of China , 2012, Environmental Earth Sciences.

[29]  Demin Zhou,et al.  Mapping wetland changes in China between 1978 and 2008 , 2012 .

[30]  Marguerite Madden,et al.  China’s Wetlands: Conservation Plans and Policy Impacts , 2012, AMBIO.

[31]  K. Tian,et al.  Wetland changes and droughts in southwestern China , 2012 .

[32]  J. Qiu China faces up to 'terrible' state of its ecosystems , 2011, Nature.

[33]  Keming Ma,et al.  Wetland loss under the impact of agricultural development in the Sanjiang Plain, NE China , 2010, Environmental monitoring and assessment.

[34]  J. Biggs The Biology of Freshwater Wetlands , 2007 .

[35]  J. Zedler,et al.  Wetland resources : Status, trends, ecosystem services, and restorability , 2005 .

[36]  S. Carpenter,et al.  Global Consequences of Land Use , 2005, Science.

[37]  K. Schuyt Economic consequences of wetland degradation for local populations in Africa , 2005 .

[38]  Jingyun Fang,et al.  The 7-decade degradation of a large freshwater lake in central Yangtze River, China. , 2005, Environmental science & technology.

[39]  Mary E. Kentula,et al.  Wetland degradation and loss in the rapidly urbanizing area of Portland, Oregon , 1995, Wetlands.

[40]  S. Galatowitsch Natural and anthropogenic drivers of wetland change , 2018 .

[41]  Martha Rojas Urrego The use of Earth Observation for wetland inventory , assessment and monitoring An information source for the Ramsar Convention on Wetlands , 2018 .

[42]  Matt Walpole,et al.  Tracking global change in ecosystem area: The Wetland Extent Trends index , 2016 .

[43]  Wang Li The spatio-temporal evolution characteristics and response of regional climate change of NDVI at Jiangsu coastal areas , 2012 .

[44]  Chun Ma,et al.  Application of Markov model in wetland change dynamics in Tianjin Coastal Area, China , 2012 .

[45]  Bian Shao-wen Simple Discussion on Distribution and Characteristics of Yunnan Wetland Type , 2006 .

[46]  N. Davidson,et al.  Global wetland inventory – current status and future priorities , 1999 .