Padrões espaciais da riqueza de espécies de viperídeos na Américado Sul: temperatura ambiental vs. cinética-bioquímica / Spatial patterns of viperid species richness in South America: environmental temperature vs. biochemical kinetics

Este estudo tem por objetivo testar a influência da temperatura na taxametabólica de viperídeos como um mecanismo básico de origem dos padrões espaciais deriqueza desse grupo na América do Sul, como proposto por Allen et al. (2002) dentro daTeoria Metabólica em Ecologia. Para isso, testamos a relação entre o logaritmo natural dariqueza de espécies de viperídeos e o inverso da temperatura (em Kelvin, 1000*K-1), apóscorrigir os efeitos da autocorrelação espacial, e verificamos se a reta estimada apresentainclinação de -9,0*T. As variáveis apresentaram baixo índice de correlação (r2 = 0,216; p <0,0001), com uma inclinação da reta de -3,737*T (C.I. (95%) ± 0,379). Os resultadosindicaram que os viperídeos não respondem à variação de temperatura da mesma forma queos demais grupos testados, uma vez que o intervalo de confiança para o ângulo da retaestimada não contempla o valor -9,0*T, como predito pelo modelo. O presente estudosugere que o padrão espacial da riqueza de espécies de viperídeos na América do Sul éestruturado por outros parâmetros além da temperatura, não contemplados no modelo deAllen et al. (2002).

The aim of this study was to testthe influence of temperature on metabolic rates of viperid species as the underlyingmechanism to explain the richness pattern of this group in South America, following theMetabolic Theory of Ecology (MTE) proposed by Allen et al. (2002). We tested MTEpredictions by considering the relationship between the natural logarithm of viperid speciesrichness and the inverse of temperature (in Kelvin, 1000*K-1) after to correct for spatialautocorrelation effects and to check whether the linear function presents a slope of -9.0*T.The relationship between variables presented low correlation coefficient (r2 = 0.216; P <0.0001) and a slope of -3.737*T (C.I. (95%) ± 0.379).These results showed that viperidsrespond in a different way to the temperature gradient in comparison with other taxa andthe prediction of Allen et al. (2002), since the confidence interval of slope in this case doesnot include the value of -9.0*T. This study demonstrates that temperature is not the soledriver of broad-scale spatial pattern of viperid species richness in South America.

A review of techniques for spatial modeling in geographical, conservation and landscape genetics

Most evolutionary processes occur in a spatial context and several spatial analysis techniques have been employed in an exploratory context. However, the existence of autocorrelation can also perturb significance tests when data is analyzed using standard correlation and regression techniques on modeling genetic data as a function of explanatory variables. In this case, more complex models incorporating the effects of autocorrelation must be used. Here we review those models and compared their relative performances in a simple simulation, in which spatial patterns in allele frequencies were generated by a balance between random variation within populations and spatially-structured gene flow. Notwithstanding the somewhat idiosyncratic behavior of the techniques evaluated, it is clear that spatial autocorrelation affects Type I errors and that standard linear regression does not provide minimum variance estimators. Due to its flexibility, we stress that principal coordinate of neighbor matrices (PCNM) and related eigenvector mapping techniques seem to be the best approaches to spatial regression. In general, we hope that our review of commonly used spatial regression techniques in biology and ecology may aid population geneticists towards providing better explanations for population structures dealing with more complex regression problems throughout geographic space.