Climate change effects on the geographic distribution of specialist tree species of the Brazilian tropical dry forests

AbstractThe aim of this study was to evaluate the ecological niche models (ENMs) for three specialist trees (Anadenantheracolubrina, Aspidosperma pyrifolium and Myracrodruon urundeuva) in seasonally dry tropical forests (SDTFs) in Brazil, considering present and future pessimist scenarios (2080) of...

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Main Authors: PMS Rodrigues, JO Silva, PV Eisenlohr, CEGR Schaefer
Format: Article
Language:English
Published: Instituto Internacional de Ecologia
Series:Brazilian Journal of Biology
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1519-69842015000400679&lng=en&tlng=en
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spelling doaj-452ddf9f27614631a81db5bef6e8bd932020-11-24T22:46:16ZengInstituto Internacional de EcologiaBrazilian Journal of Biology1678-437575367968410.1590/1519-6984.20913S1519-69842015000400679Climate change effects on the geographic distribution of specialist tree species of the Brazilian tropical dry forestsPMS RodriguesJO SilvaPV EisenlohrCEGR SchaeferAbstractThe aim of this study was to evaluate the ecological niche models (ENMs) for three specialist trees (Anadenantheracolubrina, Aspidosperma pyrifolium and Myracrodruon urundeuva) in seasonally dry tropical forests (SDTFs) in Brazil, considering present and future pessimist scenarios (2080) of climate change. These three species exhibit typical deciduousness and are widely distributed by SDTF in South America, being important in studies of the historical and evolutionary processes experienced by this ecosystem. The modeling of the potential geographic distribution of species was done by the method of maximum entropy (Maxent).We verified a general expansion of suitable areas for occurrence of the three species in future (c.a., 18%), although there was reduction of areas with high environmental suitability in Caatinga region. Precipitation of wettest quarter and temperature seasonality were the predictor variables that most contributed to our models. Climatic changes can provide more severe and longer dry season with increasing temperature and tree mortality in tropics. On this scenario, areas currently occupied by rainforest and savannas could become more suitable for occurrence of the SDTF specialist trees, whereas regions occupied by Caatinga could not support the future level of unsustainable (e.g., aridity). Long-term multidisciplinary studies are necessary to make reliable predictions of the plant’s adaptation strategies and responses to climate changes in dry forest at community level. Based on the high deforestation rate, endemism and threat, public policies to minimize the effects of climate change on the biodiversity found within SDTFs must be undertaken rapidly.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1519-69842015000400679&lng=en&tlng=enCaatinga biomedeciduous forestecological niche modelgeographical species distribution
collection DOAJ
language English
format Article
sources DOAJ
author PMS Rodrigues
JO Silva
PV Eisenlohr
CEGR Schaefer
spellingShingle PMS Rodrigues
JO Silva
PV Eisenlohr
CEGR Schaefer
Climate change effects on the geographic distribution of specialist tree species of the Brazilian tropical dry forests
Brazilian Journal of Biology
Caatinga biome
deciduous forest
ecological niche model
geographical species distribution
author_facet PMS Rodrigues
JO Silva
PV Eisenlohr
CEGR Schaefer
author_sort PMS Rodrigues
title Climate change effects on the geographic distribution of specialist tree species of the Brazilian tropical dry forests
title_short Climate change effects on the geographic distribution of specialist tree species of the Brazilian tropical dry forests
title_full Climate change effects on the geographic distribution of specialist tree species of the Brazilian tropical dry forests
title_fullStr Climate change effects on the geographic distribution of specialist tree species of the Brazilian tropical dry forests
title_full_unstemmed Climate change effects on the geographic distribution of specialist tree species of the Brazilian tropical dry forests
title_sort climate change effects on the geographic distribution of specialist tree species of the brazilian tropical dry forests
publisher Instituto Internacional de Ecologia
series Brazilian Journal of Biology
issn 1678-4375
description AbstractThe aim of this study was to evaluate the ecological niche models (ENMs) for three specialist trees (Anadenantheracolubrina, Aspidosperma pyrifolium and Myracrodruon urundeuva) in seasonally dry tropical forests (SDTFs) in Brazil, considering present and future pessimist scenarios (2080) of climate change. These three species exhibit typical deciduousness and are widely distributed by SDTF in South America, being important in studies of the historical and evolutionary processes experienced by this ecosystem. The modeling of the potential geographic distribution of species was done by the method of maximum entropy (Maxent).We verified a general expansion of suitable areas for occurrence of the three species in future (c.a., 18%), although there was reduction of areas with high environmental suitability in Caatinga region. Precipitation of wettest quarter and temperature seasonality were the predictor variables that most contributed to our models. Climatic changes can provide more severe and longer dry season with increasing temperature and tree mortality in tropics. On this scenario, areas currently occupied by rainforest and savannas could become more suitable for occurrence of the SDTF specialist trees, whereas regions occupied by Caatinga could not support the future level of unsustainable (e.g., aridity). Long-term multidisciplinary studies are necessary to make reliable predictions of the plant’s adaptation strategies and responses to climate changes in dry forest at community level. Based on the high deforestation rate, endemism and threat, public policies to minimize the effects of climate change on the biodiversity found within SDTFs must be undertaken rapidly.
topic Caatinga biome
deciduous forest
ecological niche model
geographical species distribution
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1519-69842015000400679&lng=en&tlng=en
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