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预测温度对食物网连接度的影响。

Predicting the effects of temperature on food web connectance.

机构信息

Department of Animal and Plant Sciences, University of Sheffield, Western Bank, Sheffield S10 1SA, UK.

出版信息

Philos Trans R Soc Lond B Biol Sci. 2010 Jul 12;365(1549):2081-91. doi: 10.1098/rstb.2010.0011.

DOI:10.1098/rstb.2010.0011
PMID:20513716
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2880126/
Abstract

Few models concern how environmental variables such as temperature affect community structure. Here, we develop a model of how temperature affects food web connectance, a powerful driver of population dynamics and community structure. We use the Arrhenius equation to add temperature dependence of foraging traits to an existing model of food web structure. The model predicts potentially large temperature effects on connectance. Temperature-sensitive food webs exhibit slopes of up to 0.01 units of connectance per 1 degrees C change in temperature. This corresponds to changes in diet breadth of one resource item per 2 degrees C (assuming a food web containing 50 species). Less sensitive food webs exhibit slopes down to 0.0005, which corresponds to about one resource item per 40 degrees C. Relative sizes of the activation energies of attack rate and handling time determine whether warming increases or decreases connectance. Differences in temperature sensitivity are explained by differences between empirical food webs in the body size distributions of organisms. We conclude that models of temperature effects on community structure and dynamics urgently require considerable development, and also more and better empirical data to parameterize and test them.

摘要

很少有模型关注环境变量(如温度)如何影响群落结构。在这里,我们开发了一个模型,用于研究温度如何影响食物网连接度,这是影响种群动态和群落结构的强大驱动力。我们使用阿累尼乌斯方程(Arrhenius equation)将觅食特征的温度依赖性添加到现有的食物网结构模型中。该模型预测了温度对连接度的潜在影响。对温度敏感的食物网表现出斜率高达每摄氏度 0.01 个连接度单位的变化。这相当于每 2 摄氏度改变一种资源的饮食宽度(假设食物网中包含 50 个物种)。敏感性较低的食物网的斜率可低至 0.0005,这相当于每 40 摄氏度改变一种资源。攻击率和处理时间的激活能的相对大小决定了变暖是增加还是减少连接度。生物体的体型分布方面的经验性食物网之间的差异解释了温度敏感性的差异。我们的结论是,迫切需要对温度对群落结构和动态的影响模型进行大量的开发,并且还需要更多和更好的经验数据来对其进行参数化和测试。

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本文引用的文献

1
Prey diversity, prey composition, and predator population dynamics in experimental microcosms.实验微宇宙中的猎物多样性、猎物组成和捕食者种群动态
J Anim Ecol. 2000 Sep;69(5):874-882. doi: 10.1046/j.1365-2656.2000.00446.x.
2
Making connections in food webs.建立食物网中的联系。
Trends Ecol Evol. 1994 Apr;9(4):136-41. doi: 10.1016/0169-5347(94)90178-3.
3
Universal constant for heat production in protists.原生生物产热的通用常数。
Proc Natl Acad Sci U S A. 2009 Apr 21;106(16):6696-9. doi: 10.1073/pnas.0902005106. Epub 2009 Apr 3.
4
Major dimensions in food-web structure properties.食物网结构属性的主要维度。
Ecology. 2009 Jan;90(1):278-82. doi: 10.1890/07-0978.1.
5
Mean mass-specific metabolic rates are strikingly similar across life's major domains: Evidence for life's metabolic optimum.跨生命主要领域的平均质量比代谢率惊人地相似:生命代谢最优的证据。
Proc Natl Acad Sci U S A. 2008 Nov 4;105(44):16994-9. doi: 10.1073/pnas.0802148105. Epub 2008 Oct 24.
6
Complex food webs prevent competitive exclusion among producer species.复杂的食物网可防止生产者物种之间的竞争排斥。
Proc Biol Sci. 2008 Nov 7;275(1650):2507-14. doi: 10.1098/rspb.2008.0718.
7
Global-scale predictions of community and ecosystem properties from simple ecological theory.基于简单生态理论对群落和生态系统属性进行全球尺度的预测。
Proc Biol Sci. 2008 Jun 22;275(1641):1375-83. doi: 10.1098/rspb.2008.0192.
8
Size, foraging, and food web structure.体型、觅食与食物网结构。
Proc Natl Acad Sci U S A. 2008 Mar 18;105(11):4191-6. doi: 10.1073/pnas.0710672105. Epub 2008 Mar 12.
9
Allometric degree distributions facilitate food-web stability.异速生长度分布有助于食物网的稳定性。
Nature. 2007 Dec 20;450(7173):1226-9. doi: 10.1038/nature06359.
10
Climate-driven warming during spring destabilises a Daphnia population: a mechanistic food web approach.春季气候驱动的变暖使水蚤种群不稳定:一种基于机理的食物网方法。
Oecologia. 2007 Mar;151(2):351-64. doi: 10.1007/s00442-006-0554-5. Epub 2006 Nov 7.