Environmental correlates of leguminosae species richness in Mexico: Quantifying the contributions of energy and environmental seasonality

被引:3
作者
Arenas-Navarro, Maribel [1 ,2 ]
Tellez-Valdes, Oswaldo [2 ]
Lopez-Segoviano, Gabriel [3 ]
Murguia-Romero, Miguel [4 ]
Sebastian Tello, J. [5 ,6 ]
机构
[1] Univ Nacl Autonoma Mexico, Coordinac Posgrad Ciencias Biol, Unidad Posgrad, Posgrad Ciencias Biol, Mexico City, DF, Mexico
[2] Univ Nacl Autonoma Mexico, Fac Estudios Super Iztacala, Lab Recursos Nat, Av Barrios 1, Tlalnepantla De Baz 54090, Estado De Mexic, Mexico
[3] UNAM, Unidad Morelia, ENES, Morelia, Michoacan, Mexico
[4] Univ Nacl Autonoma Mexico, Inst Biol, Dept Bot, Morelia, Michoacan, Mexico
[5] Missouri Bot Garden, Ctr Conservat & Sustainable Dev, St Louis, MO USA
[6] Pontificia Univ Catolica Ecuador, Escuela Biol, Quito, Ecuador
基金
美国国家科学基金会;
关键词
climate; principal coordinates of neighborhood matrix; rarefaction; variation partitioning; LATITUDINAL GRADIENTS; VASCULAR PLANTS; SCALE PATTERNS; BIG DATA; DIVERSITY; CLIMATE; BIODIVERSITY; DETERMINANTS; CONSERVATION; PRODUCTIVITY;
D O I
10.1111/btp.12735
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Explaining species richness patterns is a central issue in ecology, but a general explanation remains elusive. Environmental conditions have been proposed to be important drivers of these patterns, but we still need to better understand the relative contribution of environmental factors. Here, we aim at testing two environmental hypotheses for richness gradients: energy availability and environmental seasonality using diversity patterns of the family Leguminosae across Mexico. We compiled a data base of 502 species and 32,962 records. After dividing Mexico into 100 x 100 km grid cells, we constructed a map of variation in species richness that accounts for heterogeneity in sampling effort. We found the cells with the highest species richness of legumes are in the Neotropical region of Pacific coastal and southern Mexico, where the legume family dominates the tropical rain forests and seasonally dry tropical forests. Regression models show that energy and seasonality predictors can explain 25% and 49% of the variation in richness, respectively. Spatial autocorrelation analysis showed that richness has a strong spatial structure, but that most of this structure disappears when both energy and seasonality are used to account for richness gradient. Our study demonstrates multiple environmental conditions contribute complementarily to explain diversity gradients. Moreover, it shows that in some regions, environmental seasonality can be more important than energy availability, contradicting studies at coarser spatial scales. More basic taxonomic and floristic work is needed to help describe patterns of diversity for many groups to allow for testing the underlying mechanisms responsible for diversity gradients. in Spanish is available with online material.
引用
收藏
页码:70 / 80
页数:11
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