Abstract

Forest mortality caused by convective storms (windthrow) is a major disturbance in the Amazon. However, the linkage between windthrows at the surface and convective storms in the atmosphere remains unclear. In addition, the current Earth system models (ESMs) lack mechanistic links between convective wind events and tree mortality. Here we find an empirical relationship that maps convective available potential energy, which is well simulated by ESMs, to the spatial pattern of large windthrow events. This relationship builds connections between strong convective storms and forest dynamics in the Amazon. Based on the relationship, our model projects a 51 ± 20% increase in the area favorable to extreme storms, and a 43 ± 17% increase in windthrow density within the Amazon by the end of this century under the high-emission scenario (SSP 585). These results indicate significant changes in tropical forest composition and carbon cycle dynamics under climate change.

The authors link the frequency of convective storms in the Amazon basin to the density of large forest mortality events (windthrows) and project an increase in forest disturbance from these dynamics due to climate warming over this century.

Details

Title
Amazon windthrow disturbances are likely to increase with storm frequency under global warming
Author
Feng, Yanlei 1   VIAFID ORCID Logo  ; Negrón-Juárez, Robinson I. 2 ; Romps, David M. 3 ; Chambers, Jeffrey Q. 4 

 University of California, Department of Geography, CA, USA (GRID:grid.47840.3f) (ISNI:0000 0001 2181 7878) 
 Lawrence Berkeley National Laboratory, Climate and Ecosystem Sciences Division, CA, USA (GRID:grid.184769.5) (ISNI:0000 0001 2231 4551) 
 Lawrence Berkeley National Laboratory, Climate and Ecosystem Sciences Division, CA, USA (GRID:grid.184769.5) (ISNI:0000 0001 2231 4551); University of California, Department of Earth and Planetary Science, CA, USA (GRID:grid.47840.3f) (ISNI:0000 0001 2181 7878) 
 University of California, Department of Geography, CA, USA (GRID:grid.47840.3f) (ISNI:0000 0001 2181 7878); Lawrence Berkeley National Laboratory, Climate and Ecosystem Sciences Division, CA, USA (GRID:grid.184769.5) (ISNI:0000 0001 2231 4551) 
Pages
101
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2761454579
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.