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热力学预测了生物体和生态群落中与密度相关的能量利用情况。

Thermodynamics predicts density-dependent energy use in organisms and ecological communities.

作者信息

Yen Jian D L, Paganin David M, Thomson James R, Mac Nally Ralph

机构信息

School of Physics and Astronomy, Monash University, VIC 3800, Australia.

Arthur Rylah Institute for Environmental Research, Department of Environment, Land, Water and Planning, VIC 3084, Australia.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2015 Apr;91(4):042708. doi: 10.1103/PhysRevE.91.042708. Epub 2015 Apr 15.

Abstract

Linking our knowledge of organisms to our knowledge of ecological communities and ecosystems is a key challenge for ecology. Individual size distributions (ISDs) link the size of individual organisms to the structure of ecological communities, so that studying ISDs might provide insight into how organism functioning affects ecosystems. Similarly shaped ISDs among ecosystems, coupled with allometric links between organism size and resource use, suggest the possibility of emergent resource-use patterns in ecological communities. We drew on thermodynamics to develop a maximization principle that predicted both organism and community energy use. These predictions highlighted the importance of density-dependent metabolic rates and were able to explain nonlinear relationships between community energy use and community biomass. We analyzed data on fish community energy use and biomass and found evidence of nonlinear scaling, which was predicted by the thermodynamic principle developed here and is not explained by other theories of ISDs. Detailed measurements of organism energy use will clarify the role of density dependence in driving metabolic rates and will further test our derived thermodynamic principle. Importantly, our study highlights the potential for fundamental links between ecology and thermodynamics.

摘要

将我们对生物体的认识与对生态群落和生态系统的认识联系起来,是生态学面临的一项关键挑战。个体大小分布(ISDs)将个体生物体的大小与生态群落的结构联系起来,因此研究个体大小分布可能有助于深入了解生物体功能如何影响生态系统。生态系统间形状相似的个体大小分布,再加上生物体大小与资源利用之间的异速生长联系,表明生态群落中可能出现新兴的资源利用模式。我们利用热力学来制定一个最大化原则,该原则预测了生物体和群落的能量利用情况。这些预测突出了密度依赖性代谢率的重要性,并能够解释群落能量利用与群落生物量之间的非线性关系。我们分析了鱼类群落能量利用和生物量的数据,发现了非线性标度的证据,这是由这里提出的热力学原理预测的,其他个体大小分布理论无法解释这一现象。对生物体能量利用的详细测量将阐明密度依赖性在驱动代谢率方面的作用,并将进一步检验我们推导的热力学原理。重要的是,我们的研究突出了生态学与热力学之间建立基本联系的潜力。

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