Thinner bark increases sensitivity of wetter Amazonian tropical forests to fire.

Autor: Staver AC; Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, 06511, USA., Brando PM; Department of Earth System Science, University of California, Irvine, CA, 92697, USA.; Woods Hole Research Center, Falmouth, MA, USA.; Instituto de Pesquisa Ambiental da Amazônia, Brasilia, Brasil., Barlow J; Lancaster Environment Center, University of Lancaster, Lancaster, LA1 4YQ, UK.; Universidade Federal de Lavras, Lavras, CEP, 37200-000, Brazil., Morton DC; Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, 20771, USA., Paine CET; Ecosystem Management, School of Environmental and Rural Sciences, University of New England, Armidale, 2351 NSW, Australia., Malhi Y; Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, OX1 3QY, UK., Araujo Murakami A; Museo de Historia Natural Noel Kempff Mercado, Universidad Autónoma Gabriel René Moreno, Santa Cruz, Bolivia., Del Aguila Pasquel J; Instituto de Investigaciones de la Amazonia Peruana, Iquitos, Peru.
Jazyk: angličtina
Zdroj: Ecology letters [Ecol Lett] 2020 Jan; Vol. 23 (1), pp. 99-106. Date of Electronic Publication: 2019 Oct 22.
DOI: 10.1111/ele.13409
Abstrakt: Understory fires represent an accelerating threat to Amazonian tropical forests and can, during drought, affect larger areas than deforestation itself. These fires kill trees at rates varying from < 10 to c. 90% depending on fire intensity, forest disturbance history and tree functional traits. Here, we examine variation in bark thickness across the Amazon. Bark can protect trees from fires, but it is often assumed to be consistently thin across tropical forests. Here, we show that investment in bark varies, with thicker bark in dry forests and thinner in wetter forests. We also show that thinner bark translated into higher fire-driven tree mortality in wetter forests, with between 0.67 and 5.86 gigatonnes CO 2 lost in Amazon understory fires between 2001 and 2010. Trait-enabled global vegetation models that explicitly include variation in bark thickness are likely to improve the predictions of fire effects on carbon cycling in tropical forests.
(© 2019 John Wiley & Sons Ltd/CNRS.)
Databáze: MEDLINE