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

• Published in: Brazilian journal of biology 2015-08, Vol.75 (3), p.679-684
• Main Authors: Rodrigues, P M S, Silva, J O, Eisenlohr, P V, Schaefer, C E G R
• Format: Article
• Language: English
• Subjects: Anacardiaceae - physiology; Aspidosperma - physiology; BIOLOGY; Brazil; Caatinga biome; Climate Change; deciduous forest; ecological niche model; Ecosystem; Fabaceae - physiology; Forests; geographical species distribution; Models, Biological; Plant Dispersal; Trees - physiology
• ISSN: 1519-6984; 1678-4375; 1678-4375
• DOI: 10.1590/1519-6984.20913

The aim of this study was to evaluate the ecological niche models (ENMs) for three specialist trees (Anadenanthera colubrina, 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.