Testing for changes in biomass dynamics in large‐scale forest datasets

Rutishauser, Ervan; Wright, Stuart J.; Condit, Richard; Hubbell, Stephen P.; Davies, Stuart J.; Muller‐Landau, Helene C.

doi:10.1111/gcb.14833

Title: Testing for changes in biomass dynamics in large‐scale forest datasets

Journal Article · 15 October 2019 · Global Change Biology

DOI: https://doi.org/10.1111/gcb.14833 · OSTI ID:1570489

^[1]; Wright, Stuart J. ^[1]; Condit, Richard ^[2]; Hubbell, Stephen P. ^[3]; Davies, Stuart J. ^[4]; Muller‐Landau, Helene C. ^[1]

Smithsonian Tropical Research Institute Ancon Panama
Morton Arboretum Lisle IL USA
Department of Ecology and Evolutionary Biology University of California Los Angeles CA USA
Center for Tropical Forest Science‐Forest Global Earth Observatory Smithsonian Tropical Research Institute Panama City Panama, Department of Botany National Museum of Natural History Washington DC USA

Abstract Tropical forest responses to climate and atmospheric change are critical to the future of the global carbon budget. Recent studies have reported increases in estimated above‐ground biomass (EAGB) stocks, productivity, and mortality in old‐growth tropical forests. These increases could reflect a shift in forest functioning due to global change and/or long‐lasting recovery from past disturbance. We introduce a novel approach to disentangle the relative contributions of these mechanisms by decomposing changes in whole‐plot biomass fluxes into contributions from changes in the distribution of gap‐successional stages and changes in fluxes for a given stage. Using 30 years of forest dynamic data at Barro Colorado Island, Panama, we investigated temporal variation in EAGB fluxes as a function of initial EAGB (EAGB _i ) in 10 × 10 m quadrats. Productivity and mortality fluxes both increased strongly with initial quadrat EAGB. The distribution of EAGB (and thus EAGB _i ) across quadrats hardly varied over 30 years (and seven censuses). EAGB fluxes as a function of EAGB _i varied largely and significantly among census intervals, with notably higher productivity in 1985–1990 associated with recovery from the 1982–1983 El Niño event. Variation in whole‐plot fluxes among census intervals was explained overwhelmingly by variation in fluxes as a function of EAGB _i , with essentially no contribution from changes in EAGB _i distributions. The high observed temporal variation in productivity and mortality suggests that this forest is very sensitive to climate variability. There was no consistent long‐term trend in productivity, mortality, or biomass in this forest over 30 years, although the temporal variability in productivity and mortality was so strong that it could well mask a substantial trend. Accurate prediction of future tropical forest carbon budgets will require accounting for disturbance‐recovery dynamics and understanding temporal variability in productivity and mortality.

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Sponsoring Organization:: USDOE

OSTI ID:: 1570489

Journal Information:: Global Change Biology, Journal Name: Global Change Biology Journal Issue: 3 Vol. 26; ISSN 1354-1013

Publisher:: Wiley-BlackwellCopyright Statement

Country of Publication:: United Kingdom

Language:: English

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Wu, Donghai; Vargas G., German; Powers, Jennifer S.; +10 more

Strong temporal variation in treefall and branchfall rates in a tropical forest is related to extreme rainfall: results from 5 years of monthly drone data for a 50 ha plot

Journal Article · 2021 · Biogeosciences (Online) · OSTI ID:1836620

Araujo, Raquel Fernandes; Grubinger, Samuel; Celes, Carlos Henrique Souza; +4 more

Tree damage and mortality measurements across seven ForestGEO plots in the tropics between Oct 2016 and Mar 2023

Dataset · 2023 · OSTI ID:1961178

Zuleta, Daniel; Arellano, Gabriel; Aguilar, Salomón; +12 more

Title: Testing for changes in biomass dynamics in large‐scale forest datasets

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