4.7 Article

Carbon sequestration and biodiversity co-benefits of preserving forests in the western United States

Journal

ECOLOGICAL APPLICATIONS
Volume 30, Issue 2, Pages -

Publisher

WILEY
DOI: 10.1002/eap.2039

Keywords

biodiversity; carbon sequestration; climate change; Community Land Model (CLM); forest; mitigation; process modeling; western United States

Funding

  1. Agriculture and Food Research Initiative of the U.S. Department of Agriculture National Institute of Food and Agriculture [2013-67003-20652, 2014-67003-22065, 2014-35100-22066]
  2. U.S. Department of Energy [DE-SC0012194]
  3. National Science Foundation
  4. NIFA [577850, 2013-67003-20652] Funding Source: Federal RePORTER
  5. U.S. Department of Energy (DOE) [DE-SC0012194] Funding Source: U.S. Department of Energy (DOE)

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Forest carbon sequestration via forest preservation can be a viable climate change mitigation strategy. Here, we identify forests in the western conterminous United States with high potential carbon sequestration and low vulnerability to future drought and fire, as simulated using the Community Land Model and two high carbon emission scenario (RCP 8.5) climate models. High-productivity, low-vulnerability forests have the potential to sequester up to 5,450 Tg CO2 equivalent (1,485 Tg C) by 2099, which is up to 20% of the global mitigation potential previously identified for all temperate and boreal forests, or up to similar to 6 yr of current regional fossil fuel emissions. Additionally, these forests currently have high above- and belowground carbon density, high tree species richness, and a high proportion of critical habitat for endangered vertebrate species, indicating a strong potential to support biodiversity into the future and promote ecosystem resilience to climate change. We stress that some forest lands have low carbon sequestration potential but high biodiversity, underscoring the need to consider multiple criteria when designing a land preservation portfolio. Our work demonstrates how process models and ecological criteria can be used to prioritize landscape preservation for mitigating greenhouse gas emissions and preserving biodiversity in a rapidly changing climate.

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