Literature DB >> 19379139

A slow life in hell or a fast life in heaven: demographic analyses of contrasting roe deer populations.

Erlend B Nilsen1, Jean-Michel Gaillard, Reidar Andersen, John Odden, Daniel Delorme, Guy van Laere, John D C Linnell.   

Abstract

1. Environmental conditions shape population growth through their impact on demographic parameters. While knowledge has accumulated concerning the effects of population density and climatic conditions, a topical question now concerns how predation and harvest influence demographic parameters and population growth (lambda). 2. We performed a comparative demographic analysis based on projection matrix models for female roe deer. Population-specific matrices were parameterized based on longitudinal data from five intensively monitored populations in Norway and France, spanning a large variability in environmental characteristics such as densities of large predators, hunter harvest and seasonality. 3. As expected for a large iteroparous vertebrate, temporal variation was invariably higher in recruitment than in adult survival, and the elasticity of adult survival was consistently higher than that of recruitment. However, the relative difference in elasticity of lambda to recruitment and adult survival varied strongly across populations, and was closely correlated with adult survival. 4. Different traits accounted for most of the variance in lambda in different ecological settings. Adult survival generally contributed more in populations with low mean adult survival and low mean growth rate during the study period. Hunters and predators (Eurasian lynx and red foxes) occurred in two of our study populations and contributed substantially to the variance in lambda, accounting for a total of 35% and 70% in the two populations respectively. 5. Across populations, we did not find any evidence that roe deer increased their reproductive output when faced with harsh conditions, resulting in some populations having negative growth rates. 6. Generation time, a measure of the speed of the life-history cycle, increased from less than 4 years in the most productive population ('roe deer heaven') to more than 6 years in declining populations facing predation from lynx, red fox and hunters ('roe deer hell'), and was tightly and inversely correlated with lambda. Such a deceleration of the life cycle in declining populations might be a general feature in large herbivores. 7. Our results shows that the plethora of environmental conditions faced by populations of large herbivores also induce high intraspecific variation in their ranking along the 'fast-slow' continuum of life-history tactics.

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Year:  2009        PMID: 19379139     DOI: 10.1111/j.1365-2656.2009.01523.x

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


  18 in total

1.  Age at the onset of senescence in birds and mammals is predicted by early-life performance.

Authors:  Guillaume Péron; Olivier Gimenez; Anne Charmantier; Jean-Michel Gaillard; Pierre-André Crochet
Journal:  Proc Biol Sci       Date:  2010-04-28       Impact factor: 5.349

Review 2.  Predation, individual variability and vertebrate population dynamics.

Authors:  Nathalie Pettorelli; Tim Coulson; Sarah M Durant; Jean-Michel Gaillard
Journal:  Oecologia       Date:  2011-07-15       Impact factor: 3.225

3.  Reduced microsatellite heterozygosity does not affect natal dispersal in three contrasting roe deer populations.

Authors:  Cécile Vanpé; Lucie Debeffe; A J Mark Hewison; Erwan Quéméré; Jean-François Lemaître; Maxime Galan; Britany Amblard; François Klein; Bruno Cargnelutti; Gilles Capron; Joël Merlet; Claude Warnant; Jean-Michel Gaillard
Journal:  Oecologia       Date:  2014-11-12       Impact factor: 3.225

4.  Prey productivity and predictability drive different axes of life-history variation in carnivorous marsupials.

Authors:  Rachael A Collett; Andrew M Baker; Diana O Fisher
Journal:  Proc Biol Sci       Date:  2018-10-31       Impact factor: 5.349

5.  Immune phenotype and body condition in roe deer: individuals with high body condition have different, not stronger immunity.

Authors:  Emmanuelle Gilot-Fromont; Maël Jégo; Christophe Bonenfant; Philippe Gibert; Benoit Rannou; François Klein; Jean-Michel Gaillard
Journal:  PLoS One       Date:  2012-09-19       Impact factor: 3.240

6.  Predicting the potential demographic impact of predators on their prey: a comparative analysis of two carnivore-ungulate systems in Scandinavia.

Authors:  Vincenzo Gervasi; Erlend B Nilsen; Håkan Sand; Manuela Panzacchi; Geir R Rauset; Hans C Pedersen; Jonas Kindberg; Petter Wabakken; Barbara Zimmermann; John Odden; Olof Liberg; Jon E Swenson; John D C Linnell
Journal:  J Anim Ecol       Date:  2011-11-11       Impact factor: 5.091

7.  Patterns of variation in reproductive parameters in Eurasian lynx (Lynx lynx).

Authors:  Erlend B Nilsen; John D C Linnell; John Odden; Gustaf Samelius; Henrik Andrén
Journal:  Acta Theriol (Warsz)       Date:  2011-11-27

8.  Large impact of Eurasian lynx predation on roe deer population dynamics.

Authors:  Henrik Andrén; Olof Liberg
Journal:  PLoS One       Date:  2015-03-25       Impact factor: 3.240

9.  Seasonal energetic stress in a tropical forest primate: proximate causes and evolutionary implications.

Authors:  Steffen Foerster; Marina Cords; Steven L Monfort
Journal:  PLoS One       Date:  2012-11-28       Impact factor: 3.240

10.  The Use of Surrogate Data in Demographic Population Viability Analysis: A Case Study of California Sea Lions.

Authors:  Claudia J Hernández-Camacho; Victoria J Bakker; David Aurioles-Gamboa; Jeff Laake; Leah R Gerber
Journal:  PLoS One       Date:  2015-09-28       Impact factor: 3.240

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