Literature DB >> 29786858

Ecosystem heterogeneity and diversity mitigate Amazon forest resilience to frequent extreme droughts.

Marcos Longo1,2, Ryan G Knox3, Naomi M Levine4, Luciana F Alves5, Damien Bonal6, Plinio B Camargo7, David R Fitzjarrald8, Matthew N Hayek1, Natalia Restrepo-Coupe9,10, Scott R Saleska10, Rodrigo da Silva11, Scott C Stark12, Raphael P Tapajós11, Kenia T Wiedemann1, Ke Zhang13, Steven C Wofsy1, Paul R Moorcroft1.   

Abstract

The impact of increases in drought frequency on the Amazon forest's composition, structure and functioning remain uncertain. We used a process- and individual-based ecosystem model (ED2) to quantify the forest's vulnerability to increased drought recurrence. We generated meteorologically realistic, drier-than-observed rainfall scenarios for two Amazon forest sites, Paracou (wetter) and Tapajós (drier), to evaluate the impacts of more frequent droughts on forest biomass, structure and composition. The wet site was insensitive to the tested scenarios, whereas at the dry site biomass declined when average rainfall reduction exceeded 15%, due to high mortality of large-sized evergreen trees. Biomass losses persisted when year-long drought recurrence was shorter than 2-7 yr, depending upon soil texture and leaf phenology. From the site-level scenario results, we developed regionally applicable metrics to quantify the Amazon forest's climatological proximity to rainfall regimes likely to cause biomass loss > 20% in 50 yr according to ED2 predictions. Nearly 25% (1.8 million km2 ) of the Amazon forests could experience frequent droughts and biomass loss if mean annual rainfall or interannual variability changed by 2σ. At least 10% of the high-emission climate projections (CMIP5/RCP8.5 models) predict critically dry regimes over 25% of the Amazon forest area by 2100.
© 2018 The Authors. New Phytologist © 2018 New Phytologist Trust.

Entities:  

Keywords:  Amazon; biomass loss; climate change; droughts; ecosystem demography model; forest vulnerability; water and light competition

Mesh:

Substances:

Year:  2018        PMID: 29786858     DOI: 10.1111/nph.15185

Source DB:  PubMed          Journal:  New Phytol        ISSN: 0028-646X            Impact factor:   10.151


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