Sears Michael W, Angilletta Michael J, Schuler Matthew S, Borchert Jason, Dilliplane Katherine F, Stegman Monica, Rusch Travis W, Mitchell William A
Department of Biological Sciences, Clemson University, Clemson, SC 29634;
School of Life Sciences, Arizona State University, Tempe, AZ 85287;
Proc Natl Acad Sci U S A. 2016 Sep 20;113(38):10595-600. doi: 10.1073/pnas.1604824113. Epub 2016 Sep 6.
Although most organisms thermoregulate behaviorally, biologists still cannot easily predict whether mobile animals will thermoregulate in natural environments. Current models fail because they ignore how the spatial distribution of thermal resources constrains thermoregulatory performance over space and time. To overcome this limitation, we modeled the spatially explicit movements of animals constrained by access to thermal resources. Our models predict that ectotherms thermoregulate more accurately when thermal resources are dispersed throughout space than when these resources are clumped. This prediction was supported by thermoregulatory behaviors of lizards in outdoor arenas with known distributions of environmental temperatures. Further, simulations showed how the spatial structure of the landscape qualitatively affects responses of animals to climate. Biologists will need spatially explicit models to predict impacts of climate change on local scales.
尽管大多数生物体通过行为进行体温调节,但生物学家仍然难以轻易预测活动的动物在自然环境中是否会进行体温调节。当前的模型之所以失败,是因为它们忽略了热资源的空间分布如何在空间和时间上限制体温调节性能。为了克服这一局限性,我们对受热资源获取限制的动物的空间明确运动进行了建模。我们的模型预测,与热资源聚集时相比,当热资源分散在整个空间中时,变温动物能更准确地进行体温调节。这一预测得到了在具有已知环境温度分布的户外场地中蜥蜴的体温调节行为的支持。此外,模拟还展示了景观的空间结构如何定性地影响动物对气候的反应。生物学家需要空间明确的模型来预测气候变化在局部尺度上的影响。