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利用索诺兰沙漠冬季一年生植物理解植物、种群和群落的过去、当代和未来动态。

Understanding past, contemporary, and future dynamics of plants, populations, and communities using Sonoran Desert winter annuals.

机构信息

Ecology and Evolutionary Biology, University of California, Irvine 92697-2525 USA.

出版信息

Am J Bot. 2013 Jul;100(7):1369-80. doi: 10.3732/ajb.1200463. Epub 2013 Jul 9.

DOI:10.3732/ajb.1200463
PMID:23838034
Abstract

Global change requires plant ecologists to predict future states of biological diversity to aid the management of natural communities, thus introducing a number of significant challenges. One major challenge is considering how the many interacting features of biological systems, including ecophysiological processes, plant life histories, and species interactions, relate to performance in the face of a changing environment. We have employed a functional trait approach to understand the individual, population, and community dynamics of a model system of Sonoran Desert winter annual plants. We have used a comprehensive approach that connects physiological ecology and comparative biology to population and community dynamics, while emphasizing both ecological and evolutionary processes. This approach has led to a fairly robust understanding of past and contemporary dynamics in response to changes in climate. In this community, there is striking variation in physiological and demographic responses to both precipitation and temperature that is described by a trade-off between water-use efficiency (WUE) and relative growth rate (RGR). This community-wide trade-off predicts both the demographic and life history variation that contribute to species coexistence. Our framework has provided a mechanistic explanation to the recent warming, drying, and climate variability that has driven a surprising shift in these communities: cold-adapted species with more buffered population dynamics have increased in relative abundance. These types of comprehensive approaches that acknowledge the hierarchical nature of biology may be especially useful in aiding prediction. The emerging, novel and nonstationary climate constrains our use of simplistic statistical representations of past plant behavior in predicting the future, without understanding the mechanistic basis of change.

摘要

全球变化要求植物生态学家预测未来生物多样性的状态,以帮助管理自然群落,从而带来了一些重大挑战。其中一个主要挑战是考虑生物系统的许多相互作用的特征,包括生理生态过程、植物生活史和物种相互作用,如何与面对变化环境的表现相关。我们采用功能性状方法来理解索诺兰沙漠冬季一年生植物模型系统的个体、种群和群落动态。我们采用了一种综合方法,将生理生态学和比较生物学与种群和群落动态联系起来,同时强调生态和进化过程。这种方法使我们对过去和当代对气候变化的动态有了相当稳健的理解。在这个群落中,对降水和温度的生理和人口响应存在显著的差异,这是由水利用效率(WUE)和相对生长率(RGR)之间的权衡来描述的。这种全群落的权衡预测了导致物种共存的人口和生活史变化。我们的框架为最近的变暖、变干和气候变异性提供了一个机械解释,这些变化导致这些群落发生了惊人的变化:具有更缓冲种群动态的耐寒物种相对丰度增加。这种承认生物学层次性的综合方法在帮助预测方面可能特别有用。新兴的、新颖的和非稳定的气候限制了我们在预测未来时对过去植物行为的简单统计表示的使用,而不了解变化的机制基础。

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