Leatherbacks swimming in silico: modeling and verifying their momentum and heat balance using computational fluid dynamics.
Leatherbacks swimming in silico: modeling and verifying their momentum and heat balance using computational fluid dynamics.
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DOI：
10.1371/journal.pone.0110701
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发表时间：
2014
期刊：
影响因子：
3.7
通讯作者：
Porter WP
中科院分区：
文献类型：
--
作者：
Dudley PN;Bonazza R;Jones TT;Wyneken J;Porter WP
随着未来几十年全球气温的升高，物种范围将会发生变化。新的非生物条件组合将使预测这些范围变化变得困难。生物物理机制生态位模型通过分析动物与环境的物理相互作用来限制动物的生态位。生物物理机制生态位模型足够灵活，可以适应这些新的非生物条件组合。然而，由于推力、代谢率和传热之间复杂的相互作用，这种方法很难对水生物种实施。我们使用当代计算流体动力学技术来克服这些困难。我们对游泳的新生儿和幼年棱皮海龟的复杂 3D 运动进行建模，以找出游泳过程中的功率和传热速率。我们将这些模拟的结果与数值模型相结合，以准确预测游泳棱皮龟的核心温度。这些结果是开发高度准确的机械生态位模型的第一步，该模型可以帮助古生物学家了解生物地理变化，并帮助当代物种管理者了解未来几十年潜在的范围变化。
As global temperatures increase throughout the coming decades, species ranges will shift. New combinations of abiotic conditions will make predicting these range shifts difficult. Biophysical mechanistic niche modeling places bounds on an animal’s niche through analyzing the animal’s physical interactions with the environment. Biophysical mechanistic niche modeling is flexible enough to accommodate these new combinations of abiotic conditions. However, this approach is difficult to implement for aquatic species because of complex interactions among thrust, metabolic rate and heat transfer. We use contemporary computational fluid dynamic techniques to overcome these difficulties. We model the complex 3D motion of a swimming neonate and juvenile leatherback sea turtle to find power and heat transfer rates during the stroke. We combine the results from these simulations and a numerical model to accurately predict the core temperature of a swimming leatherback. These results are the first steps in developing a highly accurate mechanistic niche model, which can assists paleontologist in understanding biogeographic shifts as well as aid contemporary species managers about potential range shifts over the coming decades.
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影响因子：
1.3
作者：
Miller, Debra L.;Wyneken, Jeanette;Baldwin, Charles A.
通讯作者：
Baldwin, Charles A.
影响因子：
2.8
作者：
Blake, Robert W.;Chan, Keith H. S.
通讯作者：
Chan, Keith H. S.
影响因子：
3.7
作者：
Bostrom BL;Jones TT;Hastings M;Jones DR
通讯作者：
Jones DR
影响因子：
4.4
作者：
Cheng, HLM;Plewes, DB
通讯作者：
Plewes, DB
影响因子：
2.8
作者：
Davenport, John;Fraher, John;Cuffe, Tracy
通讯作者：
Cuffe, Tracy