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Understanding past, contemporary, and future dynamics of plants, populations, and communities using Sonoran Desert winter annuals.
Huxman, Travis E; Kimball, Sarah; Angert, Amy L; Gremer, Jennifer R; Barron-Gafford, Greg A; Venable, D Lawrence.
Afiliación
  • Huxman TE; Ecology and Evolutionary Biology, University of California, Irvine 92697-2525 USA. thuxman@uci.edu
Am J Bot ; 100(7): 1369-80, 2013 Jul.
Article en En | MEDLINE | ID: mdl-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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 2_ODS3 Problema de salud: 2_quimicos_contaminacion Asunto principal: Plantas / Estaciones del Año / Ecosistema / Fenómenos Fisiológicos de las Plantas / Clima Desértico Tipo de estudio: Prognostic_studies Idioma: En Revista: Am J Bot Año: 2013 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 2_ODS3 Problema de salud: 2_quimicos_contaminacion Asunto principal: Plantas / Estaciones del Año / Ecosistema / Fenómenos Fisiológicos de las Plantas / Clima Desértico Tipo de estudio: Prognostic_studies Idioma: En Revista: Am J Bot Año: 2013 Tipo del documento: Article
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