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Mapping the world’s inland surface waters: an update to the Global Lakes and Wetlands Database (GLWD v2)

湿地 沼泽 水文学(农业) 环境科学 地表水 生物多样性 沼泽 生态系统服务 地理 生态系统 数据库 生态学 地质学 岩土工程 环境工程 计算机科学 生物
作者
Bernhard Lehner,Mira Anand,Etienne Fluet‐Chouinard,Florence Tan,Filipe Aires,George H. Allen,Pilippe Bousquet,Josep G. Canadell,Nick C. Davidson,C. Max Finlayson,Thomas Gumbricht,Lammert Hilarides,Gustaf Hugelius,Robert B. Jackson,Maartje C. Korver,Peter B. McIntyre,Szabolcs Nagy,David Olefeldt,Tamlin M. Pavelsky,Jean‐François Pekel,Benjamin Poulter,Catherine Prigent,Jida Wang,Thomas A. Worthington,Dai Yamazaki,Michele Thieme
标识
DOI:10.5194/essd-2024-204
摘要

Abstract. In recognition of the importance of inland waters, numerous datasets mapping their extents, types, or changes have been created using sources ranging from historical wetland maps to real-time satellite remote sensing. However, differences in definitions and methods have led to spatial and typological inconsistencies among individual data sources, confounding their complementary use and integration. The Global Lakes and Wetlands Database (GLWD), published in 2004, with its globally seamless gridded depiction of major vegetated and non-vegetated wetland classes, has emerged over the last decades as a foundational reference map that has advanced research and conservation planning addressing freshwater biodiversity, ecosystem services, greenhouse gas emissions, land surface processes, hydrology, and human health. Here, we present a new iteration of this map, termed GLWD version 2, generated by harmonizing the latest ground- and satellite-based data products into one single database. Following the same design principle as its predecessor, GLWD v2 aims to avoid double-counting of overlapping surface water features while differentiating between natural and non-natural lakes, rivers of multiple sizes, and several other wetland types. The classification of GLWD v2 incorporates information on seasonality (i.e., permanent vs. intermittent vs. ephemeral); inundation vs. saturation (i.e., flooding vs. waterlogged soils); vegetation cover (e.g., forested swamps vs. non-forested marshes); salinity (e.g., salt pans); natural vs. non-natural origins (e.g., rice paddies); and a stratification of landscape position and water source (e.g., riverine, lacustrine, palustrine, coastal/marine). GLWD v2 represents 33 wetland classes and—including all intermittent classes—depicts a maximum of 18.2 million km2 of wetlands (13.4 % of the global land area excluding Antarctica). The spatial extent of each class is provided as the fractional coverage within each grid cell at a resolution of 15 arc-seconds (approximately 500 m at the equator), with cell fractions derived from input data at resolutions as small as 10 m. The updated GLWD v2 offers an improved representation of inland surface water extents and their classification for contemporary conditions. Despite being a static map, it includes classes that denote intrinsic temporal dynamics. GLWD v2 is designed to facilitate large-scale hydrological, ecological, biogeochemical, and conservation applications, aiming to support the study and protection of wetland ecosystems around the world.

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