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

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dc.contributor.author Rutishauser, Ervan en
dc.contributor.author Wright, S. Joseph en
dc.contributor.author Condit, Richard en
dc.contributor.author Hubbell, Stephen P. en
dc.contributor.author Davies, Stuart J. en
dc.contributor.author Muller-Landau, Helene en
dc.date.accessioned 2019-09-26T02:01:51Z
dc.date.available 2019-09-26T02:01:51Z
dc.date.issued 2020
dc.identifier.citation Rutishauser, Ervan, Wright, S. Joseph, Condit, Richard, Hubbell, Stephen P., Davies, Stuart J., and Muller-Landau, Helene. 2020. "<a href="https://repository.si.edu/handle/10088/98964">Testing for changes in biomass dynamics in large-scale forest datasets</a>." <em>Global Change Biology</em>. 26 (3):1485&ndash;1498. <a href="https://doi.org/10.1111/gcb.14833">https://doi.org/10.1111/gcb.14833</a> en
dc.identifier.issn 1365-2486
dc.identifier.uri https://hdl.handle.net/10088/98964
dc.description.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 (BCI), Panama, we investigated temporal variation in EAGB fluxes as a function of initial EAGB in 10x10m quadrats. Productivity and mortality fluxes both increased strongly with initial quadrat EAGB. The distribution of EAGB (and thus initial EAGB) across quadrats hardly varied over 30 years (and 7 censuses). EAGB fluxes as a function of initial EAGB varied strongly and significantly among census intervals, with notably higher productivity in 1985-1990 associated with recovery from the 1982-83 El Niño event. Variation in whole-plot fluxes among census intervals was explained overwhelmingly by variation in fluxes as a function of initial EAGB, with essentially no contribution from changes in initial EAGB 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. en
dc.relation.ispartof Global Change Biology en
dc.title Testing for changes in biomass dynamics in large-scale forest datasets en
dc.type Journal Article en
dc.identifier.srbnumber 152409
dc.identifier.doi 10.1111/gcb.14833
rft.jtitle Global Change Biology
rft.volume 26
rft.issue 3
rft.spage 1485
rft.epage 1498
dc.description.SIUnit NH-Botany en
dc.description.SIUnit NMNH en
dc.description.SIUnit STRI en
dc.citation.spage 1485
dc.citation.epage 1498

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