Literature DB >> 19674179

Stochastic demography and population dynamics in the red kangaroo Macropus rufus.

Niclas Jonzén1, Tony Pople, Jonas Knape, Martin Sköld.   

Abstract

1. Many organisms inhabit strongly fluctuating environments but their demography and population dynamics are often analysed using deterministic models and elasticity analysis, where elasticity is defined as the proportional change in population growth rate caused by a proportional change in a vital rate. Deterministic analyses may not necessarily be informative because large variation in a vital rate with a small deterministic elasticity may affect the population growth rate more than a small change in a less variable vital rate having high deterministic elasticity. 2. We analyse a stochastic environment model of the red kangaroo (Macropus rufus), a species inhabiting an environment characterized by unpredictable and highly variable rainfall, and calculate the elasticity of the stochastic growth rate with respect to the mean and variability in vital rates. 3. Juvenile survival is the most variable vital rate but a proportional change in the mean adult survival rate has a much stronger effect on the stochastic growth rate. 4. Even if changes in average rainfall have a larger impact on population growth rate, increased variability in rainfall may still be important also in long-lived species. The elasticity with respect to the standard deviation of rainfall is comparable to the mean elasticities of all vital rates but the survival in age class 3 because increased variation in rainfall affects both the mean and variability of vital rates. 5. Red kangaroos are harvested and, under the current rainfall pattern, an annual harvest fraction of c. 20% would yield a stochastic growth rate about unity. However, if average rainfall drops by more than c. 10%, any level of harvesting may be unsustainable, emphasizing the need for integrating climate change predictions in population management and increase our understanding of how environmental stochasticity translates into population growth rate.

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Year:  2009        PMID: 19674179     DOI: 10.1111/j.1365-2656.2009.01601.x

Source DB:  PubMed          Journal:  J Anim Ecol        ISSN: 0021-8790            Impact factor:   5.091


  10 in total

1.  Life history predicts risk of species decline in a stochastic world.

Authors:  Benjamin G Van Allen; Amy E Dunham; Christopher M Asquith; Volker H W Rudolf
Journal:  Proc Biol Sci       Date:  2012-03-07       Impact factor: 5.349

2.  An updated perspective on the role of environmental autocorrelation in animal populations.

Authors:  Jake M Ferguson; Felipe Carvalho; Oscar Murillo-García; Mark L Taper; José M Ponciano
Journal:  Theor Ecol       Date:  2015-08-30       Impact factor: 1.432

3.  Environmental effects and individual body condition drive seasonal fecundity of rabbits: identifying acute and lagged processes.

Authors:  Konstans Wells; Robert B O'Hara; Brian D Cooke; Greg J Mutze; Thomas A A Prowse; Damien A Fordham
Journal:  Oecologia       Date:  2016-03-30       Impact factor: 3.225

4.  A stochastic version of the brass PF ratio adjustment of age-specific fertility schedules.

Authors:  Jack Baker; Adélamar Alcantara; Xiaomin Ruan
Journal:  PLoS One       Date:  2011-08-04       Impact factor: 3.240

5.  Stochastic population dynamics of a montane ground-dwelling squirrel.

Authors:  Jeffrey A Hostetler; Eva Kneip; Dirk H Van Vuren; Madan K Oli
Journal:  PLoS One       Date:  2012-03-27       Impact factor: 3.240

6.  Dampening prey cycle overrides the impact of climate change on predator population dynamics: a long-term demographic study on tawny owls.

Authors:  Alexandre Millon; Steve J Petty; Brian Little; Olivier Gimenez; Thomas Cornulier; Xavier Lambin
Journal:  Glob Chang Biol       Date:  2014-03-14       Impact factor: 10.863

7.  Elucidating fitness components of the invasive dermestid beetle Trogoderma granarium combining deterministic and stochastic demography.

Authors:  Nikos E Papanikolaou; Nickolas G Kavallieratos; Marios Kondakis; Maria C Boukouvala; Erifili P Nika; Nikos Demiris
Journal:  PLoS One       Date:  2019-02-14       Impact factor: 3.240

8.  Are changes in the mean or variability of climate signals more important for long-term stochastic growth rate?

Authors:  Bernardo García-Carreras; Daniel C Reuman
Journal:  PLoS One       Date:  2013-05-14       Impact factor: 3.240

9.  Relative Importance of Climate Variables to Population Vital Rates: A Quantitative Synthesis for the Lesser Prairie-Chicken.

Authors:  Julia E Earl; Samuel D Fuhlendorf
Journal:  PLoS One       Date:  2016-09-29       Impact factor: 3.240

10.  Threshold of long-term survival of a coastal delphinid in anthropogenically degraded environment: Indo-Pacific humpback dolphins in Pearl River Delta.

Authors:  Leszek Karczmarski; Shiang-Lin Huang; Stephen C Y Chan
Journal:  Sci Rep       Date:  2017-02-23       Impact factor: 4.996

  10 in total

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