Artigo

Tropical forest carbon balance: Effects of field- and satellite-based mortality regimes on the dynamics and the spatial structure of Central Amazon forest biomass

Debate continues over the adequacy of existing field plots to sufficiently capture Amazon forest dynamics to estimate regional forest carbon balance. Tree mortality dynamics are particularly uncertain due to the difficulty of observing large, infrequent disturbances. A recent paper (Chambers et al 2...

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Autor principal: Di Vittorio, Alan V.
Outros Autores: Negrón-Juárez, Robinson I., Higuchi, Niro, Chambers, Jeffrey Quintin
Grau: Artigo
Idioma: English
Publicado em: Environmental Research Letters 2020
Assuntos:
Acesso em linha: https://repositorio.inpa.gov.br/handle/1/16011
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spelling oai:repositorio:1-16011 Tropical forest carbon balance: Effects of field- and satellite-based mortality regimes on the dynamics and the spatial structure of Central Amazon forest biomass Di Vittorio, Alan V. Negrón-Juárez, Robinson I. Higuchi, Niro Chambers, Jeffrey Quintin Biomass Stochastic Models Amazon Forest Frequency Distributions Mortality Power Law Power Law Distribution Spatial Clustering Tree Growth Modeling Forestry Biomass Canopy Architecture Canopy Gap Carbon Budget Environmental Disturbance Growth Modeling Landscape Ecology Longevity Mortality Power Law Satellite Imagery Size Distribution Tropical Forest Biomass Forests Mortality Amazonia Debate continues over the adequacy of existing field plots to sufficiently capture Amazon forest dynamics to estimate regional forest carbon balance. Tree mortality dynamics are particularly uncertain due to the difficulty of observing large, infrequent disturbances. A recent paper (Chambers et al 2013 Proc. Natl Acad. Sci. 110 3949-54) reported that Central Amazon plots missed 9-17% of tree mortality, and here we address 'why' by elucidating two distinct mortality components: (1) variation in annual landscape-scale average mortality and (2) the frequency distribution of the size of clustered mortality events. Using a stochastic-empirical tree growth model we show that a power law distribution of event size (based on merged plot and satellite data) is required to generate spatial clustering of mortality that is consistent with forest gap observations. We conclude that existing plots do not sufficiently capture losses because their placement, size, and longevity assume spatially random mortality, while mortality is actually distributed among differently sized events (clusters of dead trees) that determine the spatial structure of forest canopies. © 2014 IOP Publishing Ltd. 2020-05-21T21:56:29Z 2020-05-21T21:56:29Z 2014 Artigo https://repositorio.inpa.gov.br/handle/1/16011 10.1088/1748-9326/9/3/034010 en Volume 9, Número 3 Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ application/pdf Environmental Research Letters
institution Instituto Nacional de Pesquisas da Amazônia - Repositório Institucional
collection INPA-RI
language English
topic Biomass
Stochastic Models
Amazon
Forest
Frequency Distributions
Mortality
Power Law
Power Law Distribution
Spatial Clustering
Tree Growth Modeling
Forestry
Biomass
Canopy Architecture
Canopy Gap
Carbon Budget
Environmental Disturbance
Growth Modeling
Landscape Ecology
Longevity
Mortality
Power Law
Satellite Imagery
Size Distribution
Tropical Forest
Biomass
Forests
Mortality
Amazonia
spellingShingle Biomass
Stochastic Models
Amazon
Forest
Frequency Distributions
Mortality
Power Law
Power Law Distribution
Spatial Clustering
Tree Growth Modeling
Forestry
Biomass
Canopy Architecture
Canopy Gap
Carbon Budget
Environmental Disturbance
Growth Modeling
Landscape Ecology
Longevity
Mortality
Power Law
Satellite Imagery
Size Distribution
Tropical Forest
Biomass
Forests
Mortality
Amazonia
Di Vittorio, Alan V.
Tropical forest carbon balance: Effects of field- and satellite-based mortality regimes on the dynamics and the spatial structure of Central Amazon forest biomass
topic_facet Biomass
Stochastic Models
Amazon
Forest
Frequency Distributions
Mortality
Power Law
Power Law Distribution
Spatial Clustering
Tree Growth Modeling
Forestry
Biomass
Canopy Architecture
Canopy Gap
Carbon Budget
Environmental Disturbance
Growth Modeling
Landscape Ecology
Longevity
Mortality
Power Law
Satellite Imagery
Size Distribution
Tropical Forest
Biomass
Forests
Mortality
Amazonia
description Debate continues over the adequacy of existing field plots to sufficiently capture Amazon forest dynamics to estimate regional forest carbon balance. Tree mortality dynamics are particularly uncertain due to the difficulty of observing large, infrequent disturbances. A recent paper (Chambers et al 2013 Proc. Natl Acad. Sci. 110 3949-54) reported that Central Amazon plots missed 9-17% of tree mortality, and here we address 'why' by elucidating two distinct mortality components: (1) variation in annual landscape-scale average mortality and (2) the frequency distribution of the size of clustered mortality events. Using a stochastic-empirical tree growth model we show that a power law distribution of event size (based on merged plot and satellite data) is required to generate spatial clustering of mortality that is consistent with forest gap observations. We conclude that existing plots do not sufficiently capture losses because their placement, size, and longevity assume spatially random mortality, while mortality is actually distributed among differently sized events (clusters of dead trees) that determine the spatial structure of forest canopies. © 2014 IOP Publishing Ltd.
format Artigo
author Di Vittorio, Alan V.
author2 Negrón-Juárez, Robinson I.
Higuchi, Niro
Chambers, Jeffrey Quintin
author2Str Negrón-Juárez, Robinson I.
Higuchi, Niro
Chambers, Jeffrey Quintin
title Tropical forest carbon balance: Effects of field- and satellite-based mortality regimes on the dynamics and the spatial structure of Central Amazon forest biomass
title_short Tropical forest carbon balance: Effects of field- and satellite-based mortality regimes on the dynamics and the spatial structure of Central Amazon forest biomass
title_full Tropical forest carbon balance: Effects of field- and satellite-based mortality regimes on the dynamics and the spatial structure of Central Amazon forest biomass
title_fullStr Tropical forest carbon balance: Effects of field- and satellite-based mortality regimes on the dynamics and the spatial structure of Central Amazon forest biomass
title_full_unstemmed Tropical forest carbon balance: Effects of field- and satellite-based mortality regimes on the dynamics and the spatial structure of Central Amazon forest biomass
title_sort tropical forest carbon balance: effects of field- and satellite-based mortality regimes on the dynamics and the spatial structure of central amazon forest biomass
publisher Environmental Research Letters
publishDate 2020
url https://repositorio.inpa.gov.br/handle/1/16011
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score 11.653393