生物群落
草原
陆地生态系统
环境科学
土地覆盖
碳循环
植被(病理学)
碳汇
土地利用
自然地理学
全球变化
生态系统
草地生态系统
植被覆盖
植物功能类型
农林复合经营
林业
生态学
地理
分布(数学)
土壤碳
封面(代数)
作者
A. S. MacDougall,B. Vanzant,J. Sulik,S. Bagchi,D. Naidu,T. O. Muraina,E. W. Seabloom,E. T. Borer,P. Wilfahrt,I. Slette,J. L. Hierro,D. E. Pearson,M. Abedi,M. Akasaka,J. Alberti,A. Aleksanyan,A. A. Amisu,T. M. Anderson,C. A. Arnillas,M. Ayer
标识
DOI:10.1038/s41559-025-02955-6
摘要
Land cover data are commonly used to model the terrestrial carbon (C) sink, yet these data have wide margins of error that significantly alter estimates of global C storage. Here we demonstrate this data vulnerability in grasslands, which are critical to C cycling but whose estimated distribution has varied by >50 million km2 (3.5-42% of the Earth's terrestrial surface). Comparing multiple high-resolution land cover products with expertly annotated grassland data from six continents, we show sources of mapping error and discuss C implications based on 2023 United Nations (UN) FAO estimates. Past misidentification arose from inconsistent definitions on grassland identity and classification flaws especially relating to woody plant cover. Correcting these errors adjusted grassland coverage to 22.8% of the terrestrial land base (30.1 million km2), elevating UN projections of soil C stocks to 155.02 Pg (0-30 cm depth). These findings underscore the challenges of biome mapping for ecosystem accounting and policy, when lacking field-validated remotely sensed data.
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