{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,10]],"date-time":"2025-12-10T09:00:49Z","timestamp":1765357249250,"version":"build-2065373602"},"reference-count":48,"publisher":"MDPI AG","issue":"21","license":[{"start":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T00:00:00Z","timestamp":1667433600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Science and Technology Fundamental Resources Investigation Program of China","award":["2019FY202504","41871365","41930104","2020JDTD0003"],"award-info":[{"award-number":["2019FY202504","41871365","41930104","2020JDTD0003"]}]},{"name":"National Natural Science Foundation of China","award":["2019FY202504","41871365","41930104","2020JDTD0003"],"award-info":[{"award-number":["2019FY202504","41871365","41930104","2020JDTD0003"]}]},{"name":"Sichuan Science and Technology Project","award":["2019FY202504","41871365","41930104","2020JDTD0003"],"award-info":[{"award-number":["2019FY202504","41871365","41930104","2020JDTD0003"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Knowing the distributions and changes in global wetlands and their conversion to other land cover types could facilitate our understanding of wetland development, causes of variations, and decision-making for restoration and protection. This study aimed to comprehensively analyze the changes in wetland distributions at global, continental, typical regional, and national scales and the conversions between wetlands and other land cover types in the last 20 years. This study used GlobeLand30 (GL30) data with a 30 m resolution for the years 2000, 2010, and 2020. The main findings of this study are as follows: (1) the area of wetlands continued to increase globally from 2000 to 2020, with a total increase of approximately 4%. Wetland changes from 2010 to 2020 were more significant than those from 2000 to 2010. The regions with significant wetland changes were mainly in the north middle- and high-latitude, and the equatorial middle- and low-latitude, and Oceania and North America were the continents with the highest increase and decrease, respectively; (2) the major conversion of wetlands was mainly natural land cover types, including forest, grassland, water, and tundra, and there were minor conversions due to human activities, including the conversion of wetlands to cropland (~4600 km2) and artificial land (~3400 km2); (3) from 2000 to 2020, the increase in global wetlands was uneven, while the decrease was nearly even at a national scale. Australia had the highest increase due to the conversions from grass, bare land, and water, and Canada had the highest decrease due to the conversion into tundra and forest. The analysis results could more comprehensively characterize the distributions and changes of global wetlands, which may provide basic information and knowledge for related research work and policymaking.<\/jats:p>","DOI":"10.3390\/rs14215553","type":"journal-article","created":{"date-parts":[[2022,11,4]],"date-time":"2022-11-04T04:00:51Z","timestamp":1667534451000},"page":"5553","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Analysis of Spatial and Temporal Variability of Global Wetlands during the Last 20 Years Using GlobeLand30 Data"],"prefix":"10.3390","volume":"14","author":[{"given":"Mengjuan","family":"Li","sequence":"first","affiliation":[{"name":"Faculty of Geosciences and Environmental Engineering, Institute of Sustainable Development of National Land, Southwest Jiaotong University, Chengdu 610032, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6659-4150","authenticated-orcid":false,"given":"Peng","family":"Ti","sequence":"additional","affiliation":[{"name":"Faculty of Geosciences and Environmental Engineering, Institute of Sustainable Development of National Land, Southwest Jiaotong University, Chengdu 610032, China"}]},{"given":"Xiuli","family":"Zhu","sequence":"additional","affiliation":[{"name":"National Geomatics Center of China, Beijing 100044, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1447-3290","authenticated-orcid":false,"given":"Tao","family":"Xiong","sequence":"additional","affiliation":[{"name":"Faculty of Geosciences and Environmental Engineering, Institute of Sustainable Development of National Land, Southwest Jiaotong University, Chengdu 610032, China"}]},{"given":"Yuting","family":"Mei","sequence":"additional","affiliation":[{"name":"Faculty of Geosciences and Environmental Engineering, Institute of Sustainable Development of National Land, Southwest Jiaotong University, Chengdu 610032, China"}]},{"given":"Zhilin","family":"Li","sequence":"additional","affiliation":[{"name":"Faculty of Geosciences and Environmental Engineering, Institute of Sustainable Development of National Land, Southwest Jiaotong University, Chengdu 610032, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,11,3]]},"reference":[{"key":"ref_1","first-page":"22","article-title":"Research on Wetland Sub-classification from GlobeLand30","volume":"10","author":"Chen","year":"2017","journal-title":"Bull. 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