Climate stability and the current patterns of terrestrial vertebrate species richness on the Brazilian Cerrado

2010 ◽  
Vol 222 (1-2) ◽  
pp. 230-236 ◽  
Author(s):  
Matheus de Souza Lima-Ribeiro ◽  
José Alexandre Felizola Diniz-Filho ◽  
Maira Barberi
PLoS ONE ◽  
2015 ◽  
Vol 10 (7) ◽  
pp. e0131924 ◽  
Author(s):  
Maud Mouchet ◽  
Christian Levers ◽  
Laure Zupan ◽  
Tobias Kuemmerle ◽  
Christoph Plutzar ◽  
...  

2006 ◽  
Vol 84 (9) ◽  
pp. 1368-1374 ◽  
Author(s):  
Shuqing Zhao ◽  
Jingyun Fang ◽  
Changhui Peng ◽  
Zhiyao Tang

Explaining species richness patterns over broad geographic scales is a central issue of biogeography and macroecology. In this study, we took spatial autocorrelation into account and used terrestrial vertebrate species richness data from 211 nature reserves, together with climatic and topographical variables and reserve area, to explain terrestrial vertebrate species richness patterns in China and to test two climatically based hypotheses for animals. Our results demonstrated that species richness patterns of different terrestrial vertebrate taxa were predicted by the environmental variables used, in a decreasing order, as reptiles (56.5%), followed by amphibians (51.8%), mammals (42%), and birds (19%). The endothermic vertebrates (mammals and birds) were closely correlated with net primary productivity (NPP), which supports the productivity hypothesis, whereas the ectothermic vertebrates (amphibians and reptiles) were strongly associated with both water and energy variables but weakly with NPP, which supports the physiologically based ambient climate hypothesis. The differences in the dependence of endothermic and ectothermic vertebrates on productivity or ambient climate may be due in part to their different thermoregulatory mechanisms. Consistent with earlier studies, mammals were strongly and positively related to geomorphologic heterogeneity, measured by elevation range, implying that the protection of mountains may be especially important in conserving mammalian diversity.


Author(s):  
Kevin J. Gergely ◽  
Kenneth G. Boykin ◽  
Alexa J. McKerrow ◽  
Matthew J. Rubino ◽  
Nathan M. Tarr ◽  
...  

2020 ◽  
Author(s):  
Mario R. Moura ◽  
Walter Jetz

AbstractMeter-resolution imagery of our world and myriad biodiversity records collected through citizen scientists and automated sensors belie the fact that much of the planet’s biodiversity remains undiscovered. Conservative estimates suggest only 13 to 18% of all living species may be known at this point 1–4, although this number could be as low as 1.5% 5. This biodiversity shortfall 6,7 strongly impedes the sustainable management of our planet’s resources, as the potential ecological and economic relevance of undiscovered species remains unrecognized 8. Here we use model-based predictions of terrestrial vertebrate species discovery to estimate future taxonomic and geographic discovery opportunities. Our model identifies distinct taxonomic and geographic unevenness in future discovery potential, with greatest opportunities for amphibians and reptiles and for Neotropical and IndoMalayan forests. Brazil, Indonesia, Madagascar, and Colombia emerge as holding greatest discovery opportunities, with a quarter of future species descriptions expected there. These findings highlight the significance of international support for taxonomic initiatives and the potential of quantitative models to aid the discovery of species before their functions are lost in ignorance 8. As nations draw up new policy goals under the post-2020 global biodiversity framework, a better understanding of the magnitude and geography of this known unknown is critical to inform goals and priorities 9 and to minimize future discoveries lost to extinction10.


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