Big trees drive forest structure patterns across a lowland Amazon regrowth gradient

Abstract Degraded Amazonian forests can take decades to recover and the ecological results of natural regeneration are still uncertain. Here we use field data collected across 15 lowland Amazon smallholder properties to examine the relationships between forest structure, mammal diversity, regrowth t...

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Autores principales: Tassiana Maylla Fontoura Caron, Victor Juan Ulises Rodriguez Chuma, Alexander Arévalo Sandi, Darren Norris
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Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/77058405894a488c87af206a438f1c99
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spelling oai:doaj.org-article:77058405894a488c87af206a438f1c992021-12-02T14:26:47ZBig trees drive forest structure patterns across a lowland Amazon regrowth gradient10.1038/s41598-021-83030-52045-2322https://doaj.org/article/77058405894a488c87af206a438f1c992021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-83030-5https://doaj.org/toc/2045-2322Abstract Degraded Amazonian forests can take decades to recover and the ecological results of natural regeneration are still uncertain. Here we use field data collected across 15 lowland Amazon smallholder properties to examine the relationships between forest structure, mammal diversity, regrowth type, regrowth age, topography and hydrology. Forest structure was quantified together with mammal diversity in 30 paired regrowth-control plots. Forest regrowth stage was classified into three groups: late second-regrowth, early second-regrowth and abandoned pasture. Basal area in regrowth plots remained less than half that recorded in control plots even after 20–25 years. Although basal area did increase in sequence from pasture, early to late-regrowth plots, there was a significant decline in basal area of late-regrowth control plots associated with a decline in the proportion of large trees. Variation in different forest structure responses was explained by contrasting variables, with the proportion of small trees (DBH < 20 cm) most strongly explained by topography (altitude and slope) whereas the proportion of large trees (DBH > 60 cm) was explained by plot type (control vs. regrowth) and regrowth class. These findings support calls for increased efforts to actively conserve large trees to avoid retrogressive succession around edges of degraded Amazon forests.Tassiana Maylla Fontoura CaronVictor Juan Ulises Rodriguez ChumaAlexander Arévalo SandiDarren NorrisNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Tassiana Maylla Fontoura Caron
Victor Juan Ulises Rodriguez Chuma
Alexander Arévalo Sandi
Darren Norris
Big trees drive forest structure patterns across a lowland Amazon regrowth gradient
description Abstract Degraded Amazonian forests can take decades to recover and the ecological results of natural regeneration are still uncertain. Here we use field data collected across 15 lowland Amazon smallholder properties to examine the relationships between forest structure, mammal diversity, regrowth type, regrowth age, topography and hydrology. Forest structure was quantified together with mammal diversity in 30 paired regrowth-control plots. Forest regrowth stage was classified into three groups: late second-regrowth, early second-regrowth and abandoned pasture. Basal area in regrowth plots remained less than half that recorded in control plots even after 20–25 years. Although basal area did increase in sequence from pasture, early to late-regrowth plots, there was a significant decline in basal area of late-regrowth control plots associated with a decline in the proportion of large trees. Variation in different forest structure responses was explained by contrasting variables, with the proportion of small trees (DBH < 20 cm) most strongly explained by topography (altitude and slope) whereas the proportion of large trees (DBH > 60 cm) was explained by plot type (control vs. regrowth) and regrowth class. These findings support calls for increased efforts to actively conserve large trees to avoid retrogressive succession around edges of degraded Amazon forests.
format article
author Tassiana Maylla Fontoura Caron
Victor Juan Ulises Rodriguez Chuma
Alexander Arévalo Sandi
Darren Norris
author_facet Tassiana Maylla Fontoura Caron
Victor Juan Ulises Rodriguez Chuma
Alexander Arévalo Sandi
Darren Norris
author_sort Tassiana Maylla Fontoura Caron
title Big trees drive forest structure patterns across a lowland Amazon regrowth gradient
title_short Big trees drive forest structure patterns across a lowland Amazon regrowth gradient
title_full Big trees drive forest structure patterns across a lowland Amazon regrowth gradient
title_fullStr Big trees drive forest structure patterns across a lowland Amazon regrowth gradient
title_full_unstemmed Big trees drive forest structure patterns across a lowland Amazon regrowth gradient
title_sort big trees drive forest structure patterns across a lowland amazon regrowth gradient
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/77058405894a488c87af206a438f1c99
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