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Elucidating the global elapid (Squamata) richness pattern under metabolic theory of ecology
Institution:1. Programa de Pós-Graduação em Ecologia e Evolução, Instituto de Ciências Biológicas, Universidade Federal de Goiás, Caixa Postal 131, CEP 74001-970 Goiânia, Goiás, Brazil;2. Programa de Pós-Graduação em Ecologia, Instituto de Ciências Biológicas, Universidade de Brasília, Campus Universitário Darcy Ribeiro, Bloco E, Asa Norte, CEP 770910-900 Brasília, DF, Brazil;3. Programa de Pós-Graduação em Ciências Ambientais, Instituto de Ciências Biológicas, Universidade Federal de Goiás, Caixa Postal 131, CEP 74001-970, Goiânia, Goiás, Brazil;4. Departamento de Ecologia, Instituto de Ciências Biológicas, Universidade Federal de Goiás, Caixa Postal 131, CEP 74001-970 Goiânia, Goiás, Brazil;5. Laboratório de Macroecologia, Universidade Federal de Goiás, Campus II, BR 364, Km 192, CEP 75801-615 Jataí, Goiás, Brazil;1. Key Laboratory of Aquatic Botany and Watershed Ecology, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China;2. Guangxi Institute of Botany, Chinese Academy of Sciences, Guilin 541006, China;1. Naiman Desertification Research Station, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China;2. Extreme Stress Resistance and Biotechnology Laboratory, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China;1. Centre for Invasion Biology, Department of Botany and Zoology, Stellenbosch University, Private Bag X1, Matieland 7602, South Africa;2. Invasive Species Programme, South African National Biodiversity Institute, Kirstenbosch Research Centre, Claremont 7735, South Africa;1. NSERC/UQAT/UQAM Industrial Chair in Sustainable Forest Management, Université du Québec en Abitibi-Témiscamingue, 445, boulevard de l''Université, Rouyn-Noranda, Québec J9X 5E4, Canada;2. Institut des sciences de la forêt tempérée, Université du Québec en Outaouais, 58, rue Principale, Ripon, Québec, J0V 1V0, Canada
Abstract:Environmental determinants of global patterns in species richness are still uncertain. The Metabolic Theory of Ecology (MTE) proposes that species richness patterns can be explained by environmental temperature acting on the metabolism of ectothermic organisms. However, the generality of this theory has been questioned due to its low fit to the geographic variation in species richness of different taxonomic groups. Here, we investigated whether the MTE drives elapid richness, testing the non-stationarity of the relationship between the natural logarithm of species richness (ln S) and the inverse function of temperature (1/kT) using a geographically weighted regression (GWR). The relationship between ln S and 1/kT varied systematically over space and showed non-stationarity. Few tropical locations were consistent with MTE predictions, whereas other regions fitted differently. Although the slope of the GWR model ranged from low to high, the temperature did not predict species richness strongly on average and did not limit the upper values of richness. The response of richness to temperature in some areas might reflect a recent history of colonization and diversification of species across tropical and subtropical regions. In regions not affected by temperature, species richness should be structured by other biotic and abiotic interactions. This scenario reveals that the non-stationarity of the relationship would be linked to idiosyncrasies in the sample sites, which can drift the magnitude or change the relationship between species richness and temperature throughout space.
Keywords:Diversity gradients  Geographically weighted regression  Macroecology  Non-stationarity  Snake
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