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Tom Pugh

Thomas Pugh

Senior lecturer

Tom Pugh

Enhancing carbon sinks in China using a spatially-optimized forestation strategy

Author

  • Yanli Dong
  • Zhen Yu
  • Thomas Pugh
  • Evgenios Agathokleous
  • Fangmin Zhang
  • Stephen Sitch
  • Weibin You
  • Wangya Han
  • Stefan Olin
  • Shirong Liu
  • Guoyi Zhou
  • Pedro Cabral
  • Pengsen Sun

Summary, in English

China plans expanding 49.5 million hectares of new forests by 2050 to strengthen carbon sequestration. However, estimates of the carbon benefits from this expansion rarely consider the effect of 'forest edge', where tree mortality increases under intensified stress from wind, drought, pests, and fire. Here we show that proximity to forest edges substantially reduces biomass carbon storage, and develop a spatial optimization strategy that prioritizes planting in areas that minimize edge effects. Our projections show that forestation optimized for edge effects results in a 51% increase in carbon gain (986 ± 22 Tg by 2060), with approximately half of the total gain driven by reduced edge effects. These findings demonstrate that ignoring edge effects can significantly overestimate carbon sink potential and highlight spatially optimized forestation as a pathway to maximize climate mitigation and ecological benefits.

Department/s

  • Department of Earth and Environmental Sciences (MGeo)
  • LU Profile Area: Nature-based future solutions
  • MERGE: ModElling the Regional and Global Earth system
  • BECC: Biodiversity and Ecosystem services in a Changing Climate
  • Dept of Physical Geography and Ecosystem Science
  • eSSENCE: The e-Science Collaboration

Publishing year

2026-01-12

Language

English

Publication/Series

Nature Communications

Volume

17

Document type

Journal article

Publisher

Nature Publishing Group

Topic

  • Physical Geography
  • Climate Science

Keywords

  • China
  • Carbon Sequestration
  • Forests
  • Biomass
  • Trees/metabolism
  • Forestry/methods
  • Carbon/metabolism
  • Climate Change

Status

Published

ISBN/ISSN/Other

  • ISSN: 2041-1723