Anthromes and forest carbon responses to global change

作者：J. Aaron Hogan, Jeremy W. Lichstein, Eileen H. Helmer, Matthew E. Craig, Evan C. Fricke, Viola Heinrich, Steven A. Kannenberg, Charles D. Koven, Kees Klein Goldewijk, David M. Lapola, Yue Li, Yadvinder Malhi, John E. Quinn, Stephanie Roe, César Terrer, Emilio Vilanova, Anthony P. Walker, Kai Zhu, Erle C. Ellis · 发表于：Plants People Planet · 年份：2024 · DOI：10.1002/ppp3.10609 · 被引用次数：7 · 研究领域：Plant Water Relations and Carbon Dynamics、Atmospheric and Environmental Gas Dynamics、Conservation, Biodiversity, and Resource Management

Societal Impact Statement Forest ecosystems absorb and store about 25% of global carbon dioxide emissions annually and are increasingly shaped by human land use and management. Climate change interacts with land use and forest dynamics to influence observed carbon stocks and the strength of the land carbon sink. We show that climate change effects on modeled forest land carbon stocks are strongest in tropical wildlands that have limited human influence. Global forest carbon stocks and carbon sink strength may decline as climate change and anthropogenic influences intensify, with wildland tropical forests, especially in Amazonia, likely being especially vulnerable. Summary Human effects on ecosystems date back thousands of years, and anthropogenic biomes—anthromes—broadly incorporate the effects of human population density and land use on ecosystems. Forests are integral to the global carbon cycle, containing large biomass carbon stocks, yet their responses to land use and climate change are uncertain but critical to informing climate change mitigation strategies, ecosystem management, and Earth system modeling. Using an anthromes perspective and the site locations from the Global Forest Carbon (ForC) Database, we compare intensively used, cultured, and wildland forest lands in tropical and extratropical regions. We summarize recent past (1900‐present) patterns of land use intensification, and we use a feedback analysis of Earth system models from the Coupled Model Intercompar...