Identification of priority areas for Eschweilera tetrapetala (Lecythidaceae) conservation in response to climate change
Abstract Eschweilera tetrapetala is a tree endemic to Submontane Seasonal Forests in inland Atlantic forest areas of the Chapada Diamantina Mountains, Northeastern Brazil. The effects of climate change on the spatial distribution pattern of that species were investigated to identify priority areas f...
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Format: | Article |
Language: | English |
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Instituto de Pesquisas Jardim Botânico do Rio de Janeiro
2021-09-01
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Series: | Rodriguésia |
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Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2175-78602021000100263&tlng=en |
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author | Isiara Silva Menezes Diogo Souza Bezerra Rocha Roy Richard Funch Ana Paula Lima do Couto-Santos Ligia Silveira Funch |
author_facet | Isiara Silva Menezes Diogo Souza Bezerra Rocha Roy Richard Funch Ana Paula Lima do Couto-Santos Ligia Silveira Funch |
author_sort | Isiara Silva Menezes |
collection | DOAJ |
description | Abstract Eschweilera tetrapetala is a tree endemic to Submontane Seasonal Forests in inland Atlantic forest areas of the Chapada Diamantina Mountains, Northeastern Brazil. The effects of climate change on the spatial distribution pattern of that species were investigated to identify priority areas for its conservation. Distribution patterns and population densities were obtained by sampling individuals in ten 200 x 10 m transects, and in thirty additional 10 x 10 m border and interior forest plots. The occurrence data were subjected to Ecological Niche Modelling using Bioclim, Maxent, and Support Vector Machine algorithms. The predicted model for the current distribution of E. tetrapetala, using the Bioclim, Maxent, and Support Vector Machine algorithms, evidenced stable areas of strong environmental suitability in the east of the Chapada Diamantina. The models also show an expansion of areas with environmental suitability during the Mid-Holocene, with retraction in the present and greater reductions predicted in future global warming scenarios. The number of individuals in the plots varied from zero to 14, indicating an aggregated distribution. Morisita’s index indicated a random distribution along a forest edge but aggregated in the forest interior. Eschweilera tetrapetala is sensitive to climatic change and anthropogenic pressure, at both regional and local scales. |
first_indexed | 2024-04-11T16:54:53Z |
format | Article |
id | doaj.art-733d739090884403ac0ca58a4d4a3a48 |
institution | Directory Open Access Journal |
issn | 2175-7860 |
language | English |
last_indexed | 2024-04-11T16:54:53Z |
publishDate | 2021-09-01 |
publisher | Instituto de Pesquisas Jardim Botânico do Rio de Janeiro |
record_format | Article |
series | Rodriguésia |
spelling | doaj.art-733d739090884403ac0ca58a4d4a3a482022-12-22T04:13:18ZengInstituto de Pesquisas Jardim Botânico do Rio de JaneiroRodriguésia2175-78602021-09-017210.1590/2175-7860202172073Identification of priority areas for Eschweilera tetrapetala (Lecythidaceae) conservation in response to climate changeIsiara Silva Menezeshttps://orcid.org/0000-0003-0745-7743Diogo Souza Bezerra Rochahttps://orcid.org/0000-0003-2913-4072Roy Richard Funchhttps://orcid.org/0000-0001-7364-5975Ana Paula Lima do Couto-Santoshttps://orcid.org/0000-0003-4349-7136Ligia Silveira Funchhttps://orcid.org/0000-0001-7096-0187Abstract Eschweilera tetrapetala is a tree endemic to Submontane Seasonal Forests in inland Atlantic forest areas of the Chapada Diamantina Mountains, Northeastern Brazil. The effects of climate change on the spatial distribution pattern of that species were investigated to identify priority areas for its conservation. Distribution patterns and population densities were obtained by sampling individuals in ten 200 x 10 m transects, and in thirty additional 10 x 10 m border and interior forest plots. The occurrence data were subjected to Ecological Niche Modelling using Bioclim, Maxent, and Support Vector Machine algorithms. The predicted model for the current distribution of E. tetrapetala, using the Bioclim, Maxent, and Support Vector Machine algorithms, evidenced stable areas of strong environmental suitability in the east of the Chapada Diamantina. The models also show an expansion of areas with environmental suitability during the Mid-Holocene, with retraction in the present and greater reductions predicted in future global warming scenarios. The number of individuals in the plots varied from zero to 14, indicating an aggregated distribution. Morisita’s index indicated a random distribution along a forest edge but aggregated in the forest interior. Eschweilera tetrapetala is sensitive to climatic change and anthropogenic pressure, at both regional and local scales.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2175-78602021000100263&tlng=enclimatic suitablyforest edge effectsIPCCHolocenespatial clustering |
spellingShingle | Isiara Silva Menezes Diogo Souza Bezerra Rocha Roy Richard Funch Ana Paula Lima do Couto-Santos Ligia Silveira Funch Identification of priority areas for Eschweilera tetrapetala (Lecythidaceae) conservation in response to climate change Rodriguésia climatic suitably forest edge effects IPCC Holocene spatial clustering |
title | Identification of priority areas for Eschweilera tetrapetala (Lecythidaceae) conservation in response to climate change |
title_full | Identification of priority areas for Eschweilera tetrapetala (Lecythidaceae) conservation in response to climate change |
title_fullStr | Identification of priority areas for Eschweilera tetrapetala (Lecythidaceae) conservation in response to climate change |
title_full_unstemmed | Identification of priority areas for Eschweilera tetrapetala (Lecythidaceae) conservation in response to climate change |
title_short | Identification of priority areas for Eschweilera tetrapetala (Lecythidaceae) conservation in response to climate change |
title_sort | identification of priority areas for eschweilera tetrapetala lecythidaceae conservation in response to climate change |
topic | climatic suitably forest edge effects IPCC Holocene spatial clustering |
url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2175-78602021000100263&tlng=en |
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