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The Net Effect of Functional Traits on Fitness.
Laughlin, Daniel C; Gremer, Jennifer R; Adler, Peter B; Mitchell, Rachel M; Moore, Margaret M.
Afiliação
  • Laughlin DC; Department of Botany, University of Wyoming, Laramie, WY 82071, USA. Electronic address: daniel.laughlin@uwyo.edu.
  • Gremer JR; Department of Evolution and Ecology and Center for Population Biology, University of California, Davis, CA 95616, USA.
  • Adler PB; Department of Wildland Resources and the Ecology Center, Utah State University, Logan, UT 84322, USA.
  • Mitchell RM; School of Earth and Sustainability, Northern Arizona University, Flagstaff, AZ 86001, USA.
  • Moore MM; School of Forestry, Northern Arizona University, Flagstaff, AZ 86001, USA.
Trends Ecol Evol ; 35(11): 1037-1047, 2020 11.
Article em En | MEDLINE | ID: mdl-32807503
ABSTRACT
Generalizing the effect of traits on performance across species may be achievable if traits explain variation in population fitness. However, testing relationships between traits and vital rates to infer effects on fitness can be misleading. Demographic trade-offs can generate variation in vital rates that yield equal population growth rates, thereby obscuring the net effect of traits on fitness. To address this problem, we describe a diversity of approaches to quantify intrinsic growth rates of plant populations, including experiments beyond range boundaries, density-dependent population models built from long-term demographic data, theoretical models, and methods that leverage widely available monitoring data. Linking plant traits directly to intrinsic growth rates is a fundamental step toward rigorous predictions of population dynamics and community assembly.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aptidão Genética Tipo de estudo: Prognostic_studies Idioma: En Revista: Trends Ecol Evol Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aptidão Genética Tipo de estudo: Prognostic_studies Idioma: En Revista: Trends Ecol Evol Ano de publicação: 2020 Tipo de documento: Article