期刊论文详细信息
Brazilian Journal of Biology
Geographical patterns and partition of turnover and richness components of beta-diversity in faunas from Tocantins river valley
Mls. Tonial1  Hlr. Silva2  Ij. Tonial1  Mc. Costa1  Nj. Silva Júnior2  Jaf. Diniz-filho1 
[1] ,Pontifícia Universidade Católica de Goiás Departamento de Biologia Goiânia GO ,Brazil
关键词: faunal similarity;    β-diversity;    turnover;    richness;    nestedness;    comparação de faunas;    diversidade-β;    riqueza de espécies;    substituição;   
DOI  :  10.1590/S1519-69842012000300012
来源: SciELO
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【 摘 要 】

There has been a resurging interest in patterns of β-diversity, especially by the mechanisms driving broad-scale, continental and global patterns, and how partitioning β-diversity into richness (or nestedness) and turnover components can be linked with such mechanisms. Here we compared two recent methodologies to find richness and turnover components of β-diversity, using a large regional scale dataset of mammal, bird, reptiles and amphibian species found in seven regions of Central, North and Northeastern Brazil. As well as a simple comparison of the metrics available, we analyzed spatial patterns (i.e., distance-decay similarity) and the effects of biome type in these components using raw and partial Mantel tests. Our analyses revealed that turnover estimated using Baselga's (2010) approach is slightly higher than the estimate using Carvalho's et al. (2012) approach, but all analyses show consistent spatial patterns in species turnover using both methods. Spatial patterns in β-diversity revealed by Mantel tests are also consistent with expectations based on differential dispersal abilities. Our results also reinforce that spatial patterns in β-diversity, mainly in the turnover components expressing faunal differentiation, are determined by a mix or broad scale environmental effects and short distance spatially-structured dispersal.

【 授权许可】

CC BY   
 All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License

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