Analysis of resting status reveals distinct elevational variation in metabolisms of lizards.

Autor: Jiang, Zhong‐Wen1,2 (AUTHOR), Ma, Liang2 (AUTHOR), Tao, Shi‐ang1 (AUTHOR), Wenda, Cheng2 (AUTHOR), Cheng, Chuyu3 (AUTHOR), Wu, Dan‐yang1 (AUTHOR), Du, Wei‐Guo1 (AUTHOR) duweiguo@ioz.ac.cn
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Zdroj: Ecology. Oct2024, Vol. 105 Issue 10, p1-13. 13p.
Abstrakt: Animals spend a considerable proportion of their life span at rest. However, resting status has often been overlooked when investigating how species respond to environmental conditions. This may induce a large bias in understanding the local adaptation of species across environmental gradients and their vulnerability to potential environmental change. Here, we conducted an empirical study on montane agamid lizards, combined with mechanistic modeling, to compare elevational variations in body temperature and metabolisms (cumulative digestion and maintenance cost) between resting and active status. Our study on three populations of an agamid lizard along an elevational gradient revealed a trend of decreasing body temperature toward higher elevations, the main contributor of which was resting status of the lizards. Using population‐specific reaction norms, we predicted greater elevational variation in hourly and cumulative digestion for resting lizards than for active lizards. Climate‐change impacts, estimated as the change in cumulative digestion, also show greater elevational variation when resting status is factored into the analysis. Further, our global analysis of 98 agamid species revealed that in about half of their combined distributional range, the contribution of resting status in determining the elevational variation in cumulative digestion and maintenance cost of lizards was greater than the contribution made by a lizard's active status. Our study highlights the importance of considering resting status when investigating how species respond to environmental conditions, especially for those distributed over tropical and subtropical mountain areas. [ABSTRACT FROM AUTHOR]
Databáze: GreenFILE
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