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

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, regr...

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Autores principales: Caron, Tassiana Maylla Fontoura, Chuma, Victor Juan Ulises Rodriguez, Sandi, Alexander Arévalo, Norris, Darren
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7873124/
https://www.ncbi.nlm.nih.gov/pubmed/33564057
http://dx.doi.org/10.1038/s41598-021-83030-5
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author Caron, Tassiana Maylla Fontoura
Chuma, Victor Juan Ulises Rodriguez
Sandi, Alexander Arévalo
Norris, Darren
author_facet Caron, Tassiana Maylla Fontoura
Chuma, Victor Juan Ulises Rodriguez
Sandi, Alexander Arévalo
Norris, Darren
author_sort Caron, Tassiana Maylla Fontoura
collection PubMed
description 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.
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spelling pubmed-78731242021-02-10 Big trees drive forest structure patterns across a lowland Amazon regrowth gradient Caron, Tassiana Maylla Fontoura Chuma, Victor Juan Ulises Rodriguez Sandi, Alexander Arévalo Norris, Darren Sci Rep Article 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. Nature Publishing Group UK 2021-02-09 /pmc/articles/PMC7873124/ /pubmed/33564057 http://dx.doi.org/10.1038/s41598-021-83030-5 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Caron, Tassiana Maylla Fontoura
Chuma, Victor Juan Ulises Rodriguez
Sandi, Alexander Arévalo
Norris, Darren
Big trees drive forest structure patterns across a lowland Amazon regrowth gradient
title 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_short 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
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7873124/
https://www.ncbi.nlm.nih.gov/pubmed/33564057
http://dx.doi.org/10.1038/s41598-021-83030-5
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