Competition for light can drive adverse species-composition shifts in the Amazon Forest under elevated CO2

18889 7 102073 2 311710 document 102073 2023.07.03.547575v1.full.pdf application/pdf 689262e0ed30b0f335dc45a36b9ba386 MD5 1347502 2023-07-06 08:01:36 https://pure.iiasa.ac.at/id/eprint/18889/1/2023.07.03.547575v1.full.pdf 18889 1 1 application/pdf text en public cc_by_4

2023.07.03.547575v1.full.pdf

submitted 102074 1 311716 document 102074 indexcodes.txt text/x-asm 411e8a26b795ef300e9e1674a8a71061 MD5 17084 2023-07-06 08:11:36 https://pure.iiasa.ac.at/id/eprint/18889/2/indexcodes.txt 18889 2 2 text/x-asm other Generate index codes conversion from text to indexcodes en public

indexcodes.txt

lightbox.jpg

preview.jpg

medium.jpg

small.jpg

http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/102073 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/102073 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/102073 archive 353 disk0/00/01/88/89 2023-07-06 08:04:20 2024-04-15 14:08:36 2023-07-06 08:04:20 article show 2 Joshi J. 8895 Hofhansl F. 2222 0000-0003-0073-0946 Singh S. 9393 Stocker B. Brännström Å. 8085 Franklin O. 1791 0000-0002-0376-4140 Blanco C.C. Aleixo I. Lapola D.M. Prentice I.C. Dieckmann U. 1668 0000-0001-7089-0393 Competition for light can drive adverse species-composition shifts in the Amazon Forest under elevated CO2 submitted ASA CAT EM SYRR BNR AFE BEC The resilience of biodiverse forests to climate change depends on an interplay of adaptive processes operating at multiple temporal and organizational scales. These include short-term acclimation of physiological processes like photosynthesis and respiration, mid-term changes in forest structure due to competition, and long-term changes in community composition arising from competitive exclusion and genetic trait evolution. To investigate the roles of diversity and adaptation for forest resilience, we present Plant-FATE, a parsimonious eco-evolutionary vegetation model. Tested with data from a hyperdiverse Amazonian terra-firme forest, our model accurately predicts multiple emergent ecosystem properties characterizing forest structure and function. Under elevated CO2 conditions, we predict an increase in productivity, leaf area, and aboveground biomass, with the magnitude of this increase declining in nutrient-deprived soils if trees allocate more carbon to the rhizosphere to overcome nutrient limitation. Furthermore, increased aboveground productivity leads to greater competition for light and drives a shift in community composition towards fast-growing but short-lived species characterized by lower wood densities. Such a transition reduces the carbon residence time of woody biomass, dampening carbon-sink strength and potentially rendering the Amazon Forest more vulnerable to future climatic extreme events. 2023-07-03 published doi:10.1101/2023.07.03.547575 3189 3022 3344 39 95 66 public BioRxiv FALSE Competition for light can drive adverse species-composition shifts in the Amazon Forest under elevated CO2 Resilience of Ecosystem Services provided by Intact and Sustainably managed Terrestrial ecosystems (RESIST) no info:eu-repo/semantics/article