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

Journal Article · · New Phytologist
DOI:https://doi.org/10.1111/nph.15185· OSTI ID:1487084
ORCiD logo [1];  [2];  [3]; ORCiD logo [3];  [4];  [5];  [6];  [7];  [8];  [9];  [10];  [11];  [10];  [7];  [12];  [7];  [7]
  1. Harvard Univ., Cambridge, MA (United States); California Inst. of Technology (CalTech), Pasadena, CA (United States)
  2. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  3. Univ. of California, Los Angeles, CA (United States)
  4. INRA, UMR EEF (France)
  5. Universidade de São Paulo (Brazil)
  6. State Univ. of New York (SUNY), Albany, NY (United States)
  7. Harvard Univ., Cambridge, MA (United States)
  8. University of Technology Sydney (Australia) ; Univ. of Arizona, Tucson, AZ (United States)
  9. Univ. of Arizona, Tucson, AZ (United States)
  10. Universidade Federal do Oeste do Pará, , Santarém, PA (United States)
  11. Michigan State Univ., East Lansing, MI (United States)
  12. Hohai University, Nanjing, Jiangsu (China)

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.

Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
1487084
Journal Information:
New Phytologist, Vol. 219, Issue 3; ISSN 0028-646X
Publisher:
WileyCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 49 works
Citation information provided by
Web of Science

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The biophysics, ecology, and biogeochemistry of functionally diverse, vertically and horizontally heterogeneous ecosystems: the Ecosystem Demography model, version 2.2 – Part 1: Model description journal January 2019
Changes in Climate and Land Use Over the Amazon Region: Current and Future Variability and Trends journal December 2018
Future Climate and Land Use Change Impacts on River Flows in the Tapajós Basin in the Brazilian Amazon journal August 2019
Local spatial variation in the population dynamics of two tree species in a region of Atlantic Rainforest, SE Brazil journal November 2019
The biophysics, ecology, and biogeochemistry of functionally diverse, vertically and horizontally heterogeneous ecosystems: the Ecosystem Demography model, version 2.2 – Part 2: Model evaluation for tropical South America journal January 2019
Carbon exchange in an Amazon forest: from hours to years journal January 2018
Reduced Carbon Dioxide Sink and Methane Source under Extreme Drought Condition in an Alpine Peatland journal November 2018
Observed variation in soil properties can drive large variation in modelled forest functioning and composition during tropical forest secondary succession journal April 2019
Tropical carbon sink accelerated by symbiotic dinitrogen fixation journal December 2019
Review of drought impacts on carbon cycling in grassland ecosystems journal January 2020
PTR-TOF-MS eddy covariance measurements of isoprene and monoterpene fluxes from an eastern Amazonian rainforest journal January 2020
Assessing impacts of selective logging on water, energy, and carbon budgets and ecosystem dynamics in Amazon forests using the Functionally Assembled Terrestrial Ecosystem Simulator journal April 2019
The potential for structural errors in emergent constraints journal January 2021