Eronen Jussi T, Polly P David, Fred Marianne, Damuth John, Frank David C, Mosbrugger Volker, Scheidegger Christoph, Stenseth Nils Chr, Fortelius Mikael
Department of Geosciences and Geography, Helsinki University, FinlandDepartment of Geological Sciences, Indiana University, USAARONIA Research Institute at Åbo Akademi University and Novia, University of Applied Sciences, Coastal Zone Research Team, Ekenäs, FinlandDepartment of Ecology, Evolution and Marine Biology, University of California, Santa Barbara, California, USASwiss Federal Research Institute WSL, Birmensdorf, SwitzerlandSenckenberg Natural History Museum and Research Institute, Frankfurt, GermanyCentre for Ecological and Evolutionary Synthesis (CEES), Department of Biology, University of Oslo, Oslo, Norway.
Integr Zool. 2010 Jun;5(2):88-101. doi: 10.1111/j.1749-4877.2010.00192.x.
We outline here an approach for understanding the biology of climate change, one that integrates data at multiple spatial and temporal scales. Taxon-free trait analysis, or "ecometrics," is based on the idea that the distribution in a community of ecomorphological traits such as tooth structure, limb proportions, body mass, leaf shape, incubation temperature, claw shape, any aspect of anatomy or physiology can be measured across some subset of the organisms in a community. Regardless of temporal or spatial scale, traits are the means by which organisms interact with their environment, biotic and abiotic. Ecometrics measures these interactions by focusing on traits which are easily measurable, whose structure is closely related to their function, and whose function interacts directly with local environment. Ecometric trait distributions are thus a comparatively universal metric for exploring systems dynamics at all scales. The main challenge now is to move beyond investigating how future climate change will affect the distribution of organisms and how it will impact ecosystem services and to shift the perspective to ask how biotic systems interact with changing climate in general, and how climate change affects the interactions within and between the components of the whole biotic-physical system. We believe that it is possible to provide believable, quantitative answers to these questions. Because of this we have initiated an IUBS program iCCB (integrative Climate Change Biology).
我们在此概述一种理解气候变化生物学的方法,该方法整合了多个时空尺度的数据。无分类群性状分析,即“生态计量学”,基于这样一种理念:在一个群落中,生态形态学性状(如牙齿结构、肢体比例、体重、叶片形状、孵化温度、爪子形状、解剖学或生理学的任何方面)的分布可以在群落中部分生物子集上进行测量。无论时间或空间尺度如何,性状都是生物体与其生物和非生物环境相互作用的方式。生态计量学通过关注易于测量、其结构与其功能密切相关且其功能与当地环境直接相互作用的性状来衡量这些相互作用。因此,生态计量学性状分布是探索所有尺度系统动态的一种相对通用的指标。目前的主要挑战是超越研究未来气候变化将如何影响生物分布以及它将如何影响生态系统服务,转而将视角转变为询问生物系统总体上如何与变化的气候相互作用,以及气候变化如何影响整个生物 - 物理系统各组成部分内部和之间的相互作用。我们相信有可能为这些问题提供可信的定量答案。因此,我们启动了一个国际生物科学联合会项目iCCB(综合气候变化生物学)。