Literature DB >> 17118007

Sensitivity of the population growth rate to demographic variability within and between phases of the disturbance cycle.

W F Morris, S Tuljapurkar, C V Haridas, E S Menges, C C Horvitz, C A Pfister.   

Abstract

For species in disturbance-prone ecosystems, vital rates (survival, growth and reproduction) often vary both between and within phases of the cycle of disturbance and recovery; some of this variation is imposed by the environment, but some may represent adaptation of the life history to disturbance. Anthropogenic changes may amplify or impede these patterns of variation, and may have positive or negative effects on population growth. Using stochastic population projection matrix models, we develop stochastic elasticities (proportional derivatives of the long-run population growth rate) to gauge the population effects of three types of change in demographic variability (changes in within- and between-disturbance-phase variability and phase-specific changes). Computing these elasticities for five species of disturbance-influenced perennial plants, we pinpoint demographic rates that may reveal adaptation to disturbance, and we demonstrate that species may differ in their responses to different types of changes in demographic variability driven by climate change.

Mesh:

Year:  2006        PMID: 17118007     DOI: 10.1111/j.1461-0248.2006.00988.x

Source DB:  PubMed          Journal:  Ecol Lett        ISSN: 1461-023X            Impact factor:   9.492


  3 in total

1.  From stochastic environments to life histories and back.

Authors:  Shripad Tuljapurkar; Jean-Michel Gaillard; Tim Coulson
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2009-06-12       Impact factor: 6.237

2.  Linking environmental and demographic data to predict future population viability of a perennial herb.

Authors:  Per Toräng; Johan Ehrlén; Jon Agren
Journal:  Oecologia       Date:  2010-01-14       Impact factor: 3.225

3.  Low demographic variability in wild primate populations: fitness impacts of variation, covariation, and serial correlation in vital rates.

Authors:  William F Morris; Jeanne Altmann; Diane K Brockman; Marina Cords; Linda M Fedigan; Anne E Pusey; Tara S Stoinski; Anne M Bronikowski; Susan C Alberts; Karen B Strier
Journal:  Am Nat       Date:  2010-11-30       Impact factor: 3.926

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.