Developmental cost theory predicts thermal environment and vulnerability to global warming

被引:46
|
作者
Marshall, Dustin J. [1 ]
Pettersen, Amanda K. [2 ]
Bode, Michael [1 ,3 ]
White, Craig R. [1 ]
机构
[1] Monash Univ, Ctr Geometr Biol, Melbourne, Vic, Australia
[2] Lund Univ, Lund, Sweden
[3] Queensland Univ Technol, Brisbane, Qld, Australia
关键词
TEMPERATURE; MARINE; THERMOREGULATION; METAMORPHOSIS; TERRESTRIAL; FISHES; SIZE; TREE;
D O I
10.1038/s41559-020-1114-9
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Metazoans must develop from zygotes to feeding organisms. In doing so, developing offspring consume up to 60% of the energy provided by their parent. The cost of development depends on two rates: metabolic rate, which determines the rate that energy is used; and developmental rate, which determines the length of the developmental period. Both development and metabolism are highly temperature-dependent such that developmental costs should be sensitive to the local thermal environment. Here, we develop, parameterize and test developmental cost theory, a physiologically explicit theory that reveals that ectotherms have narrow thermal windows in which developmental costs are minimized (T-opt). Our developmental cost theory-derived estimates of T-opt predict the natural thermal environment of 71 species across seven phyla remarkably well (R-2 ~0.83). Developmental cost theory predicts that costs of development are much more sensitive to small changes in temperature than classic measures such as survival. Warming-driven changes to developmental costs are predicted to strongly affect population replenishment and developmental cost theory provides a mechanistic foundation for determining which species are most at risk. Developmental cost theory predicts that tropical aquatic species and most non-nesting terrestrial species are likely to incur the greatest increase in developmental costs from future warming. A physiological model that defines the window for which the cost of metazoan development is minimized is used to predict which species will be most at risk from global warming.
引用
收藏
页码:406 / +
页数:8
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