4.7 Article

Climatic niche at physiological and macroecological scales: the thermal tolerance-geographical range interface and niche dimensionality

期刊

GLOBAL ECOLOGY AND BIOGEOGRAPHY
卷 23, 期 4, 页码 446-456

出版社

WILEY
DOI: 10.1111/geb.12114

关键词

thermal tolerance; phylogenetic comparative methods; macrophysiology; phylogenetic signal representation curve; Anuran larvae; CTmax

资金

  1. CAPES [PDSE 0278-12-2]
  2. Spanish MICINN Ramon y Cajal
  3. CSIC/CNPq cooperation [P2011BR0071]
  4. Spanish AECID [A/016892/08, A/023032/09]
  5. Spanish MICINN [CGL2009-12767-C02-02]
  6. State of Sao Paulo Science Foundation [PFPMCG/PRONEX 2008/57687-0]
  7. CNPq

向作者/读者索取更多资源

Aim Under the Hutchinsonian concept of the realized niche, biotic interactions and dispersal limitation may prevent species from fully occupying areas that they could tolerate physiologically. This can hamper the translation of physiological limits into climatically defined range limits and distorts inferences of evolutionary changes of the adaptive limits (i.e. niche conservatism). In contrast, heritable physiological limits should conform more closely to the position of the niche in the climatic hyperspace. Here, we hypothesize that a measure of niche position in the climatic hyperspace is more reliable than niche boundaries to capture the variability and evolutionary pattern of physiological tolerance. Location Neotropics and Palaeartic. Methods We used phylogenetic and non-phylogenetic regressions to test the relationships between physiological requirements and macroecological niche features (i.e. based on known species distributions) among anurans. We use larval critical thermal maximum (CTmax) as a measure of physiological response and maximum temperature (T-max), temperature variability (T-var) and the position and breadth of niche in climatic hyperspace as measures of the realized niche in geographical space. We also compare evolutionary rates among these parameters using the phylogenetic signal representation curve. Results CTmax is better correlated with niche position (r(2) = 0.414) than with T-var, and CTmax is unrelated to either T-max or niche breadth. CTmax and macroecological niche position also show similar and rapid evolutionary rates, i.e. faster than Brownian motion, whereas T-max and T-var evolve more slowly and niche breadth evolves at random. Main conclusions The transferability between thermal tolerance and realized climatic niche limits is weak. Only macroecological niche position in the multivariate climatic hyperspace correlates with physiological tolerance. It thus appears to be more suitable for describing the variability and evolutionary pattern of the species' adaptive limits. We link these results to 'niche dimensionality', in that multiple interacting factors outweigh single factors in demarcating the species' realized climatic niche, thereby determining the conserved upper thermal limits of the species.

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