Literature DB >> 23844931

Confronting model predictions of carbon fluxes with measurements of Amazon forests subjected to experimental drought.

Thomas L Powell1, David R Galbraith2,3, Bradley O Christoffersen4, Anna Harper5,6, Hewlley M A Imbuzeiro7, Lucy Rowland8, Samuel Almeida9, Paulo M Brando10, Antonio Carlos Lola da Costa11, Marcos Heil Costa7, Naomi M Levine1, Yadvinder Malhi3, Scott R Saleska4, Eleneide Sotta12, Mathew Williams8, Patrick Meir8, Paul R Moorcroft1.   

Abstract

Considerable uncertainty surrounds the fate of Amazon rainforests in response to climate change. Here, carbon (C) flux predictions of five terrestrial biosphere models (Community Land Model version 3.5 (CLM3.5), Ecosystem Demography model version 2.1 (ED2), Integrated BIosphere Simulator version 2.6.4 (IBIS), Joint UK Land Environment Simulator version 2.1 (JULES) and Simple Biosphere model version 3 (SiB3)) and a hydrodynamic terrestrial ecosystem model (the Soil-Plant-Atmosphere (SPA) model) were evaluated against measurements from two large-scale Amazon drought experiments. Model predictions agreed with the observed C fluxes in the control plots of both experiments, but poorly replicated the responses to the drought treatments. Most notably, with the exception of ED2, the models predicted negligible reductions in aboveground biomass in response to the drought treatments, which was in contrast to an observed c. 20% reduction at both sites. For ED2, the timing of the decline in aboveground biomass was accurate, but the magnitude was too high for one site and too low for the other. Three key findings indicate critical areas for future research and model development. First, the models predicted declines in autotrophic respiration under prolonged drought in contrast to measured increases at one of the sites. Secondly, models lacking a phenological response to drought introduced bias in the sensitivity of canopy productivity and respiration to drought. Thirdly, the phenomenological water-stress functions used by the terrestrial biosphere models to represent the effects of soil moisture on stomatal conductance yielded unrealistic diurnal and seasonal responses to drought.
© 2013 The Authors. New Phytologist © 2013 New Phytologist Trust.

Entities:  

Keywords:  Amazon; carbon cycle; drought; terrestrial biosphere model; throughfall exclusion; tropical rainforest

Mesh:

Substances:

Year:  2013        PMID: 23844931     DOI: 10.1111/nph.12390

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


  31 in total

1.  Projections of future meteorological drought and wet periods in the Amazon.

Authors:  Philip B Duffy; Paulo Brando; Gregory P Asner; Christopher B Field
Journal:  Proc Natl Acad Sci U S A       Date:  2015-10-12       Impact factor: 11.205

2.  ENSO Drives interannual variation of forest woody growth across the tropics.

Authors:  Sami W Rifai; Cécile A J Girardin; Erika Berenguer; Jhon Del Aguila-Pasquel; Cecilia A L Dahlsjö; Christopher E Doughty; Kathryn J Jeffery; Sam Moore; Imma Oliveras; Terhi Riutta; Lucy M Rowland; Alejandro Araujo Murakami; Shalom D Addo-Danso; Paulo Brando; Chad Burton; Fidèle Evouna Ondo; Akwasi Duah-Gyamfi; Filio Farfán Amézquita; Renata Freitag; Fernando Hancco Pacha; Walter Huaraca Huasco; Forzia Ibrahim; Armel T Mbou; Vianet Mihindou Mihindou; Karine S Peixoto; Wanderley Rocha; Liana C Rossi; Marina Seixas; Javier E Silva-Espejo; Katharine A Abernethy; Stephen Adu-Bredu; Jos Barlow; Antonio C L da Costa; Beatriz S Marimon; Ben H Marimon-Junior; Patrick Meir; Daniel B Metcalfe; Oliver L Phillips; Lee J T White; Yadvinder Malhi
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2018-10-08       Impact factor: 6.237

3.  Limiting the high impacts of Amazon forest dieback with no-regrets science and policy action.

Authors:  David M Lapola; Patricia Pinho; Carlos A Quesada; Bernardo B N Strassburg; Anja Rammig; Bart Kruijt; Foster Brown; Jean P H B Ometto; Adriano Premebida; José A Marengo; Walter Vergara; Carlos A Nobre
Journal:  Proc Natl Acad Sci U S A       Date:  2018-11-05       Impact factor: 11.205

4.  Potential shift from a carbon sink to a source in Amazonian peatlands under a changing climate.

Authors:  Sirui Wang; Qianlai Zhuang; Outi Lähteenoja; Frederick C Draper; Hinsby Cadillo-Quiroz
Journal:  Proc Natl Acad Sci U S A       Date:  2018-11-19       Impact factor: 11.205

5.  Meta-analysis reveals that hydraulic traits explain cross-species patterns of drought-induced tree mortality across the globe.

Authors:  William R L Anderegg; Tamir Klein; Megan Bartlett; Lawren Sack; Adam F A Pellegrini; Brendan Choat; Steven Jansen
Journal:  Proc Natl Acad Sci U S A       Date:  2016-04-18       Impact factor: 11.205

6.  Simulating the effects of water limitation on plant biomass using a 3D functional-structural plant model of shoot and root driven by soil hydraulics.

Authors:  Renato K Braghiere; Frédéric Gérard; Jochem B Evers; Christophe Pradal; Loïc Pagès
Journal:  Ann Bot       Date:  2020-09-14       Impact factor: 4.357

7.  Recent increases in drought frequency cause observed multi-year drought legacies in the tree rings of semi-arid forests.

Authors:  Paul Szejner; Soumaya Belmecheri; James R Ehleringer; Russell K Monson
Journal:  Oecologia       Date:  2019-11-04       Impact factor: 3.225

8.  The impact of rising CO2 and acclimation on the response of US forests to global warming.

Authors:  John S Sperry; Martin D Venturas; Henry N Todd; Anna T Trugman; William R L Anderegg; Yujie Wang; Xiaonan Tai
Journal:  Proc Natl Acad Sci U S A       Date:  2019-11-25       Impact factor: 11.205

9.  Liana optical traits increase tropical forest albedo and reduce ecosystem productivity.

Authors:  Félicien Meunier; Marco D Visser; Alexey Shiklomanov; Michael C Dietze; J Antonio Guzmán Q; G Arturo Sanchez-Azofeifa; Hannes P T De Deurwaerder; Sruthi M Krishna Moorthy; Stefan A Schnitzer; David C Marvin; Marcos Longo; Chang Liu; Eben N Broadbent; Angelica M Almeyda Zambrano; Helene C Muller-Landau; Matteo Detto; Hans Verbeeck
Journal:  Glob Chang Biol       Date:  2021-10-30       Impact factor: 13.211

10.  Application of a Hybrid Forest Growth Model to Evaluate Climate Change Impacts on Productivity, Nutrient Cycling and Mortality in a Montane Forest Ecosystem.

Authors:  Brad Seely; Clive Welham; Kim Scoullar
Journal:  PLoS One       Date:  2015-08-12       Impact factor: 3.240

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