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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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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. |
format | Online Article Text |
id | pubmed-7873124 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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