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Drivers of Wetland Conversion: a Global Meta-Analysis

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  • Sanneke van Asselen
  • Peter H Verburg
  • Jan E Vermaat
  • Jan H Janse

Abstract

Meta-analysis of case studies has become an important tool for synthesizing case study findings in land change. Meta-analyses of deforestation, urbanization, desertification and change in shifting cultivation systems have been published. This present study adds to this literature, with an analysis of the proximate causes and underlying forces of wetland conversion at a global scale using two complementary approaches of systematic review. Firstly, a meta-analysis of 105 case-study papers describing wetland conversion was performed, showing that different combinations of multiple-factor proximate causes, and underlying forces, drive wetland conversion. Agricultural development has been the main proximate cause of wetland conversion, and economic growth and population density are the most frequently identified underlying forces. Secondly, to add a more quantitative component to the study, a logistic meta-regression analysis was performed to estimate the likelihood of wetland conversion worldwide, using globally-consistent biophysical and socioeconomic location factor maps. Significant factors explaining wetland conversion, in order of importance, are market influence, total wetland area (lower conversion probability), mean annual temperature and cropland or built-up area. The regression analyses results support the outcomes of the meta-analysis of the processes of conversion mentioned in the individual case studies. In other meta-analyses of land change, similar factors (e.g., agricultural development, population growth, market/economic factors) are also identified as important causes of various types of land change (e.g., deforestation, desertification). Meta-analysis helps to identify commonalities across the various local case studies and identify which variables may lead to individual cases to behave differently. The meta-regression provides maps indicating the likelihood of wetland conversion worldwide based on the location factors that have determined historic conversions.

Suggested Citation

  • Sanneke van Asselen & Peter H Verburg & Jan E Vermaat & Jan H Janse, 2013. "Drivers of Wetland Conversion: a Global Meta-Analysis," PLOS ONE, Public Library of Science, vol. 8(11), pages 1-1, November.
    • Handle: RePEc:plo:pone00:0081292
    DOI: 10.1371/journal.pone.0081292
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    References listed on IDEAS

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    1. Lila Juniyanti & Herry Purnomo & Hariadi Kartodihardjo & Lilik Budi Prasetyo, 2021. "Understanding the Driving Forces and Actors of Land Change Due to Forestry and Agricultural Practices in Sumatra and Kalimantan: A Systematic Review," Land, MDPI, vol. 10(5), pages 1-24, April.
    2. Beatrice Asenso Barnieh & Li Jia & Massimo Menenti & Jie Zhou & Yelong Zeng, 2020. "Mapping Land Use Land Cover Transitions at Different Spatiotemporal Scales in West Africa," Sustainability, MDPI, vol. 12(20), pages 1-52, October.
    3. Cuiping Zhao & Jiaguo Gong & Qinghui Zeng & Miao Yang & Ying Wang, 2021. "Landscape Pattern Evolution Processes and the Driving Forces in the Wetlands of Lake Baiyangdian," Sustainability, MDPI, vol. 13(17), pages 1-15, August.
    4. Jiménez-Olivencia, Yolanda & Ibáñez-Jiménez, Álvaro & Porcel-Rodríguez, Laura & Zimmerer, Karl, 2021. "Land use change dynamics in Euro-mediterranean mountain regions: Driving forces and consequences for the landscape," Land Use Policy, Elsevier, vol. 109(C).
    5. Graversgaard, Morten & Jacobsen, Brian H. & Hoffmann, Carl Christian & Dalgaard, Tommy & Odgaard, Mette Vestergaard & Kjaergaard, Charlotte & Powell, Neil & Strand, John A. & Feuerbach, Peter & Tonder, 2021. "Policies for wetlands implementation in Denmark and Sweden – historical lessons and emerging issues," Land Use Policy, Elsevier, vol. 101(C).
    6. Yang, Ran & Li, Xiaoyan & Mao, Dehua & Wang, Zongming & Cheng, Lisha & Dong, Yulin & Sun, Hongchao, 2024. "A methodological framework for prioritizing wetland restoration from cropland: A case study Jianghan Plain, China," Land Use Policy, Elsevier, vol. 137(C).
    7. Tamal Kanti Saha & Swades Pal, 2019. "Emerging conflict between agriculture extension and physical existence of wetland in post-dam period in Atreyee River basin of Indo-Bangladesh," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 21(3), pages 1485-1505, June.
    8. Forleo Maria Bonaventura & Giaccio Vincenzo & Giannelli Agostino & Mastronardi Luigi & Palmieri Nadia, 2017. "Socio-Economic Drivers, Land Cover Changes and the Dynamics of Rural Settlements: Mt. Matese Area (Italy)," European Countryside, Sciendo, vol. 9(3), pages 435-457, September.
    9. Carlsen, Ask Holm & Fensholt, Rasmus & Looms, Majken Caroline & Gominski, Dimitri & Stisen, Simon & Jepsen, Martin Rudbeck, 2024. "Systematic review of the detection of subsurface drainage systems in agricultural fields using remote sensing systems," Agricultural Water Management, Elsevier, vol. 299(C).
    10. Gadisa Fayera Gemechu & Xiaoping Rui & Haiyue Lu, 2021. "Wetland Change Mapping Using Machine Learning Algorithms, and Their Link with Climate Variation and Economic Growth: A Case Study of Guangling County, China," Sustainability, MDPI, vol. 14(1), pages 1-25, December.
    11. Kristiina Regina & Arif Budiman & Mogens H. Greve & Arne Grønlund & Åsa Kasimir & Heikki Lehtonen & Søren O. Petersen & Pete Smith & Henk Wösten, 2016. "GHG mitigation of agricultural peatlands requires coherent policies," Climate Policy, Taylor & Francis Journals, vol. 16(4), pages 522-541, May.
    12. Ling Luo & Dehua Mao & Zongming Wang & Baojia Du & Hengqi Yan & Bai Zhang, 2018. "Remote Sensing and GIS Support to Identify Potential Areas for Wetland Restoration from Cropland: A Case Study in the West Songnen Plain, Northeast China," Sustainability, MDPI, vol. 10(7), pages 1-14, July.

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