Drivers of wetland conversion: a global meta-analysis.

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 o...

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Autores principales:	Sanneke van Asselen, Peter H Verburg, Jan E Vermaat, Jan H Janse
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/bb45bfd0ed654adaa870eda6b59895c7
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spelling	oai:doaj.org-article:bb45bfd0ed654adaa870eda6b59895c72021-11-18T08:44:49ZDrivers of wetland conversion: a global meta-analysis.1932-620310.1371/journal.pone.0081292https://doaj.org/article/bb45bfd0ed654adaa870eda6b59895c72013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24282580/?tool=EBIhttps://doaj.org/toc/1932-6203Meta-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.Sanneke van AsselenPeter H VerburgJan E VermaatJan H JansePublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 11, p e81292 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Sanneke van Asselen Peter H Verburg Jan E Vermaat Jan H Janse Drivers of wetland conversion: a global meta-analysis.
description	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.
format	article
author	Sanneke van Asselen Peter H Verburg Jan E Vermaat Jan H Janse
author_facet	Sanneke van Asselen Peter H Verburg Jan E Vermaat Jan H Janse
author_sort	Sanneke van Asselen
title	Drivers of wetland conversion: a global meta-analysis.
title_short	Drivers of wetland conversion: a global meta-analysis.
title_full	Drivers of wetland conversion: a global meta-analysis.
title_fullStr	Drivers of wetland conversion: a global meta-analysis.
title_full_unstemmed	Drivers of wetland conversion: a global meta-analysis.
title_sort	drivers of wetland conversion: a global meta-analysis.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/bb45bfd0ed654adaa870eda6b59895c7
work_keys_str_mv	AT sannekevanasselen driversofwetlandconversionaglobalmetaanalysis AT peterhverburg driversofwetlandconversionaglobalmetaanalysis AT janevermaat driversofwetlandconversionaglobalmetaanalysis AT janhjanse driversofwetlandconversionaglobalmetaanalysis
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Drivers of wetland conversion: a global meta-analysis.

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