题名 | Global mapping of human-transformed dike-pond systems |
作者 | |
通讯作者 | Feng, Lian |
发表日期 | 2024-11-01
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DOI | |
发表期刊 | |
ISSN | 0034-4257
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卷号 | 313 |
摘要 | Human-transformed agricultural and aquacultural ponds, collectively referred to as "dike-pond systems", play a crucial role in ensuring food security but also contribute to the widespread loss of natural wetlands. However, spatially and temporally explicit patterns of dike-pond systems have not been thoroughly documented globally. Here, we map the distribution of dike-pond systems over both global inland and coastal regions during three periods (1984 to 2000, 2001 to 2010, 2011 to 2020) using 30-m resolution satellite observations. Results show that the total area of dike-pond systems was 132,886 km2 globally, with about 2/3 contributed from inland wetlands. From 1984 to 2020, the net gain of inland dike-pond systems (26,385 km2 or 92.7%) was 1.6 times that of coastal wetlands (16,371 km2 or 83.3%), due primarily to reduced coastal dike-pond systems in the last decade. We identified significant contributions of dike-pond systems to fishery production, and further revealed occurrences of dike-pond systems within protected areas. Our study highlights the importance of prioritizing the conservation and management of more intensively inland dike-pond systems, and our global synthesis provides a critical benchmark for assessing potential consequences of dike-pond system and for future restoration efforts. © 2024 Elsevier Inc. |
关键词 | |
相关链接 | [Scopus记录] |
收录类别 | |
语种 | 英语
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学校署名 | 第一
; 通讯
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资助项目 | L.F. was supported by the National Key Research and Development Program of China (2022YFC3201802), the National Natural Science Foundation of China (no. 42271322), the Guangdong Basic and Applied Basic Research Foundation (2023B1515120061) and the Shenzhen Science and Technology Program (No. KCXFZ20201221173007020). RIW was supported by the UKRI Natural Environment Research Council [grant number: NE/T011246/1 and NE/X019071/1]. R.F. is supported by the Villum Foundation through the project 'Deep Learning and Remote Sensing for Unlocking Global Ecosystem Resource Dynamics' (DeReEco) (project no. 34306). C.Z. was supported by a grant from the Ningbo Municipal Government.
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出版者 | |
EI入藏号 | 20243416906982
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ESI学科分类 | GEOSCIENCES
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Scopus记录号 | 2-s2.0-85201377655
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来源库 | EV Compendex
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引用统计 |
被引频次[WOS]:2
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成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/807033 |
专题 | 工学院_环境科学与工程学院 南方科技大学 |
作者单位 | 1.School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China 2.Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark 3.Department of Geographical Sciences, University of Maryland, College Park; MD, United States 4.Department of Information Systems, University of Münster, Germany 5.Department of Computer Science, University of Copenhagen, Copenhagen, Denmark 6.School of Ocean Sciences, Bangor University, Wales, United Kingdom 7.Eastern Institute for Advanced Study, Eastern Institute of Technology, Ningbo, China |
第一作者单位 | 环境科学与工程学院 |
通讯作者单位 | 环境科学与工程学院 |
第一作者的第一单位 | 环境科学与工程学院 |
推荐引用方式 GB/T 7714 |
Xu, Yang,Feng, Lian,Fang, Hongwei,et al. Global mapping of human-transformed dike-pond systems[J]. Remote Sensing of Environment,2024,313.
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APA |
Xu, Yang.,Feng, Lian.,Fang, Hongwei.,Song, Xiao-Peng.,Gieseke, Fabian.,...&Fensholt, Rasmus.(2024).Global mapping of human-transformed dike-pond systems.Remote Sensing of Environment,313.
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MLA |
Xu, Yang,et al."Global mapping of human-transformed dike-pond systems".Remote Sensing of Environment 313(2024).
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条目包含的文件 | 条目无相关文件。 |
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