4.2 Article

Geographical patterns and determinants of species richness in Mexico across selected families of vascular plants: implications for conservation

期刊

SYSTEMATICS AND BIODIVERSITY
卷 11, 期 2, 页码 237-256

出版社

TAYLOR & FRANCIS LTD
DOI: 10.1080/14772000.2013.797517

关键词

conservation; Mexico; plant diversity; species richness; vascular plants

资金

  1. Project DGAPA-PAPIIT [IN221711]

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Mexico is considered a megadiverse country containing more than 10% of the world's biodiversity. The distribution of this species richness and endemism is different among the different Mexican states. We examined the species richness patterns of 13 families of vascular plants (including ferns, gymnosperms and angiosperms) in Mexico using political divisions (states) as units of analysis. We analysed the species richness values (absolute richness, endemic richness and restrictive richness) of these plant families using stepwise multiple regression analysis, assessing their relationship with a set of 10 environmental variables (expressed as heterogeneity coefficients). A combined cluster analysis with multidimensional scaling analysis (MDS) and an analysis of similarities were also undertaken to define the spatial-geographical patterns. Additionally, we proposed a methodological strategy to determine which states of Mexico have priorities for conservation. Our results suggested that the three species richness values used were significantly predicted by environmental factors, especially by climatic heterogeneity. Notwithstanding that a linear pattern was recognized, the Mexican states were gathered in four groups, which were confirmed by the MDS and the cluster analysis: (1) the Yucatan Peninsula, (2) arid Mexico, (3) the Mexican Transition Zone and (4) the megadiverse states. We proposed that 12 Mexican states include all the environmental conditions and are candidates for developing conservation programmes: (1) Quintana Roo, Tabasco and Yucatan, (2) Baja California, Chihuahua and Sinaloa, (3) Guerrero, Jalisco and Nuevo Leon and (4) Chiapas, Oaxaca and Veracruz.

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