| Literature DB >> 27087848 |
Isabelle Olivieri1, Jeanne Tonnabel2, Ophélie Ronce1, Agnès Mignot1.
Abstract
We advocate the advantage of an evolutionary approach to conservation biology that considers evolutionary history at various levels of biological organization. We review work on three separate plant taxa, spanning from one to multiple decades, illustrating extremes in metapopulation functioning. We show how the rare endemics Centaurea corymbosa (Clape Massif, France) and Brassica insularis in Corsica (France) may be caught in an evolutionary trap: disruption of metapopulation functioning due to lack of colonization of new sites may have counterselected traits such as dispersal ability or self-compatibility, making these species particularly vulnerable to any disturbance. The third case study concerns the evolution of life history strategies in the highly diverse genus Leucadendron of the South African fynbos. There, fire disturbance and the recolonization phase after fires are so integral to the functioning of populations that recruitment of new individuals is conditioned by fire. We show how past adaptation to different fire regimes and climatic constraints make species with different life history syndromes more or less vulnerable to global changes. These different case studies suggest that management strategies should promote evolutionary potential and evolutionary processes to better protect extant biodiversity and biodiversification.Entities:
Keywords: conservation genetics; contemporary evolution; dispersal; management; mating systems; natural selection; phylogenetics
Year: 2015 PMID: 27087848 PMCID: PMC4780382 DOI: 10.1111/eva.12336
Source DB: PubMed Journal: Evol Appl ISSN: 1752-4571 Impact factor: 5.183
Figure 1The extinction vortex of . The plant traits, because they act on demography (arrow from left to right, top), induce a poor colonizing ability, which in return (other arrow) determines plant traits.
Figure 2Effect of changes in the mean (μ) of the probability distribution of fire intervals (uniform distribution) on the probability of extinction at 50 years for three serotinous populations adapted to different historical fire regimes. For each population, the life history was optimized with a historical mean fire interval of 16 years. Each population had evolved under a given variance of fire intervals. Stochastic simulations were run using the ULM software (Legendre and Clobert 1995).
Figure 3Summary of the results about effects of intrinsic and extrinsic factors on the evolution of life history traits of plants in fire‐prone environments. Dashed blue and continuous red arrows correspond respectively to positive and negative effects. Note that the probabilities of drought and frost were used in the comparative analysis as proxies for factors affecting plant survival and cost of serotiny*.
Figure 4Planning research in Evolutionary conservation biology. Blue boxes correspond to demographic, ecological and genetic surveys (i.e. monitoring over several years), yellow boxes correspond to calculations, and orange boxes correspond to experiments. Arrows indicate that the box it is starting from should be taken into account in the box towards which it is pointing.