Comparative models disentangle drivers of fruit production variability of an economically and ecologically important long-lived Amazonian tree

Abstract Trees in the upper canopy contribute disproportionately to forest ecosystem productivity. The large, canopy-emergent Bertholletia excelsa also supports a multimillion-dollar commodity crop (Brazil nut), harvested almost exclusively from Amazonian forests. B. excelsa fruit production, howeve...

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Main Authors: Christina L. Staudhammer, Lúcia Helena O. Wadt, Karen A. Kainer, Thiago Augusto da Cunha
Format: Article
Language:English
Published: Nature Portfolio 2021-01-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-81948-4
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author Christina L. Staudhammer
Lúcia Helena O. Wadt
Karen A. Kainer
Thiago Augusto da Cunha
author_facet Christina L. Staudhammer
Lúcia Helena O. Wadt
Karen A. Kainer
Thiago Augusto da Cunha
author_sort Christina L. Staudhammer
collection DOAJ
description Abstract Trees in the upper canopy contribute disproportionately to forest ecosystem productivity. The large, canopy-emergent Bertholletia excelsa also supports a multimillion-dollar commodity crop (Brazil nut), harvested almost exclusively from Amazonian forests. B. excelsa fruit production, however is extremely variable within populations and years, destabilizing local harvester livelihoods and the extractive economy. To understand this variability, data were collected in Acre, Brazil over 10 years at two sites with similar climate and forest types, but different fruit production levels, despite their proximity (~ 30 km). One site consistently produced more fruit, showed less individual- and population-level variability, and had significantly higher soil P and K levels. The strongest predictor of fruit production was crown area. Elevation and sapwood area also significantly impacted fruit production, but effects differed by site. While number of wet days and dry season vapor pressure prior to flowering were significant production predictors, no climatic variables completely captured annual observed variation. Trees on the site with higher available P and K produced nearly three times more fruits, and appeared more resilient to prolonged drought and drier atmospheric conditions. Management activities, such as targeted fertilization, may shield income-dependent harvesters from expected climate changes and production swings, ultimately contributing to conservation of old growth forests where this species thrives.
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spelling doaj.art-44d97263efb74618b6d62c756b51e57a2023-03-22T11:19:07ZengNature PortfolioScientific Reports2045-23222021-01-0111111210.1038/s41598-021-81948-4Comparative models disentangle drivers of fruit production variability of an economically and ecologically important long-lived Amazonian treeChristina L. Staudhammer0Lúcia Helena O. Wadt1Karen A. Kainer2Thiago Augusto da Cunha3Department of Biological Sciences, University of AlabamaCentro de Pesquisa Agroflorestal de Rondônia (Embrapa Rondônia)School of Forest Resources and Conservation, and Center for Latin American Studies, University of FloridaUniversidade Federal do AcreAbstract Trees in the upper canopy contribute disproportionately to forest ecosystem productivity. The large, canopy-emergent Bertholletia excelsa also supports a multimillion-dollar commodity crop (Brazil nut), harvested almost exclusively from Amazonian forests. B. excelsa fruit production, however is extremely variable within populations and years, destabilizing local harvester livelihoods and the extractive economy. To understand this variability, data were collected in Acre, Brazil over 10 years at two sites with similar climate and forest types, but different fruit production levels, despite their proximity (~ 30 km). One site consistently produced more fruit, showed less individual- and population-level variability, and had significantly higher soil P and K levels. The strongest predictor of fruit production was crown area. Elevation and sapwood area also significantly impacted fruit production, but effects differed by site. While number of wet days and dry season vapor pressure prior to flowering were significant production predictors, no climatic variables completely captured annual observed variation. Trees on the site with higher available P and K produced nearly three times more fruits, and appeared more resilient to prolonged drought and drier atmospheric conditions. Management activities, such as targeted fertilization, may shield income-dependent harvesters from expected climate changes and production swings, ultimately contributing to conservation of old growth forests where this species thrives.https://doi.org/10.1038/s41598-021-81948-4
spellingShingle Christina L. Staudhammer
Lúcia Helena O. Wadt
Karen A. Kainer
Thiago Augusto da Cunha
Comparative models disentangle drivers of fruit production variability of an economically and ecologically important long-lived Amazonian tree
Scientific Reports
title Comparative models disentangle drivers of fruit production variability of an economically and ecologically important long-lived Amazonian tree
title_full Comparative models disentangle drivers of fruit production variability of an economically and ecologically important long-lived Amazonian tree
title_fullStr Comparative models disentangle drivers of fruit production variability of an economically and ecologically important long-lived Amazonian tree
title_full_unstemmed Comparative models disentangle drivers of fruit production variability of an economically and ecologically important long-lived Amazonian tree
title_short Comparative models disentangle drivers of fruit production variability of an economically and ecologically important long-lived Amazonian tree
title_sort comparative models disentangle drivers of fruit production variability of an economically and ecologically important long lived amazonian tree
url https://doi.org/10.1038/s41598-021-81948-4
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