Michigan State University, Kellogg Biological Station, 3700 E Gull Lake Drive, Hickory Corners, MI 49060, USA.
Iowa State University, Department of Ecology, Evolution and Organismal Biology, 2200 Osborn Drive, 251 Bessey Hall, Ames, IA 50011, USA.
J Exp Biol. 2021 Feb 24;224(Pt Suppl 1):jeb236018. doi: 10.1242/jeb.236018.
The unprecedented advancement of global climate change is affecting thermal conditions across spatial and temporal scales. Reptiles with temperature-dependent sex determination (TSD) are uniquely vulnerable to even fine-scale variation in incubation conditions and are a model system for investigating the impacts of shifting temperatures on key physiological and life-history traits. The ways in which current and predicted future climatic conditions translate from macro- to ultra-fine scale temperature traces in subterranean nests is insufficiently understood. Reliably predicting the ways in which fine-scale, daily and seasonally fluctuating nest temperatures influence embryonic development and offspring phenotypes is a goal that remains constrained by many of the same logistical challenges that have persisted throughout more than four decades of research on TSD. However, recent advances in microclimate and developmental modeling should allow us to move farther away from relatively coarse metrics with limited predictive capacity and towards a fully mechanistic model of TSD that can predict incubation conditions and phenotypic outcomes for a variety of reptile species across space and time and for any climate scenario.
全球气候变化的空前进展正在影响时空尺度上的热条件。温度依赖型性别决定(TSD)的爬行动物对孵化条件的细微变化特别敏感,是研究温度变化对关键生理和生活史特征影响的模型系统。当前和预测未来的气候条件如何从宏观到超精细尺度的地下巢穴温度轨迹转化的方式还不够了解。可靠地预测精细的、每日和季节性波动的巢温如何影响胚胎发育和后代表型的方式仍然受到许多限制,这些限制贯穿于对 TSD 进行了四十多年的研究。然而,微气候和发育模型的最新进展应该使我们能够远离具有有限预测能力的相对粗糙的指标,朝着 TSD 的全机械模型迈进,该模型可以预测各种空间和时间的爬行动物物种的孵化条件和表型结果,以及任何气候情景。