Démécologie

Résumé

thumb|350px|Groupes familiaux d'éléphants, au sein d'une population régionale thumb|350px|Un groupe de « populations » constitue une métapopulation. Les populations d'animaux, plantes, champignons, microbes… contribuent au fonctionnement des écosystèmes, qui eux-mêmes forment des biomes et la biosphère ou symbiosphère (expression de Joël de Rosnay est le niveau planétaire d'intégration de toutes les échelles du Vivant (du gène à la somme des biomes (sans laquelle l'oxygène et donc la couche d'ozone n'existeraient pas) ; Le gène est représenté à part, car non vivant en tant que tel, mais support d'information et base du vivant. Plus on monte dans la pyramide, plus l'échelle est globale et plus le niveau de complexité mais aussi de stabilité et de résilience écologique du système semble augmenter. La démécologie est synonyme d'écologie des populations d'une espèce. Elle a pour objet de comprendre, mesurer et prédire les variations de la taille des populations et de l’occurrence de cara

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https://fr.wikipedia.org/wiki/D%C3%A9m%C3%A9cologie

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Unités associées (3)

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Concepts associés (17)

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Cours associés (3)

The students will learn the fundamentals in ecology with the goal to perceive the environment beyond its physical and chemical characteristics. Starting from basic concepts, they will acquire mechanistic understanding of biodiversity, ecosystem functioning and global change.

Ce cours introduit les systèmes dynamiques pour modéliser des réseaux biologiques simples. L'analyse qualitative de modèles dynamiques non-linéaires est développée de pair avec des simulations numériques. L'accent est mis sur les exemples biologiques.

Le cours "Microbiologie pour l'ingénieur" couvre les processus microbiens principaux qui ont lieu dans l'environnement et dans des systèmes de traitement. Il présente les cycles des éléments qui sont catalysés par des microorganismes et qui ont un impact important sur la planète Terre.

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Beyond the patch: on landscape-explicit metapopulation dynamics

Jonathan Giezendanner

Climate change threatens biodiversity and species distribution all over the world at unprecedented rates. Human induced changes to landscape structure and habitat are redefining the relation between species and their environment. Understanding, characterizing and modeling the relation between complex landscape features and geographical species presence, the subject of this thesis, have thus gained paramount importance in order to make informed decisions on near- and far-term management strategies for species and landscape protection. The present thesis pays particular attention to the understanding of how mountain landscapes, described as heterogeneous habitat matrices, govern the presence of a species in space and time. To this end, throughout this thesis a metapopulation model is considered, a spatially-explicit model based on the balance between colonization and extinction events in areas of different suitability. The classical patch-based modelling approach is extended here in various ways in order to incorporate landscape-explicit information about the habitat matrix. A first theoretical study is performed on geometric, realistic, and real landscapes which highlights how different levels of connectivity, the degree to which different areas of similar habitat are actually linked together in the landscape (say, derived from geomorphic structures, such as valleys and peaks or emerging structures shaped by fluvial erosion and tectonic uplift) impact the dynamic of mountain species under climate change. A second, applied, study investigates how different landscape descriptors derived from Earth Observation data can be used in order to dynamically model the spatial, landscape-explicit, presence of two carabid species (Pterostichus flavofemoratus and Carabus depressus) in the Gran Paradiso National Park. In a final study, the consistency of the metapopulation model is investigated when considering different resolutions of the landscape matrix, i.e. different levels of coarse-graining. This last part is fundamental to the understanding of how conclusions drawn from local studies can be made general and extrapolated to larger regions. Overall, this thesis bridges the fields of population and landscape ecology, focusing on modelling metapopulation dynamics in complex landscapes seen as the substrate for ecological interactions. The result from the three studies show that metapopulation ecology can profit from the insights of landscape ecology. The combination of the two fields can be a useful tool in furthering the understanding and monitoring of mountain species.

EPFL2020

Chargement

The fixation of locally beneficial alleles in a metapopulation

Nicolas Perrin, Séverine Vuilleumier Varisco

Extinction, recolonization and local adaption are common in natural spatially structured populations. Understanding their effect upon genetic variation is important for systems such as GMO management, or avoidance of drug resistance. Theoretical studies on the effect of extinction and recolonization upon genetic variance started appearing in the 1970’s, but the role of local adaption still has no good theoretical basis. Here we develop a model of a haploid species in a metapopulation in which a locally adapted beneficial allele is introduced. We study the effect of different spatial patterns of local adaption, and different metapopulation dynamics, upon the fixation probability of the beneficial allele. Controlling for the average selection pressure, we find that a small area of positive selection can significantly increase the global probability of fixation. However, local adaption becomes less important as extinction rate increases. Deme extinction and recolonization has a spatial smoothing effect which effectively reduces spatial variation in fitness.

2008

Chargement

Connectivity among demes in a metapopulation depends on both the landscape's and the focal organism's properties (including its mobility and cognitive abilities). Using individual-based simulations, we contrast the consequences of three different cognitive strategies on several measures of metapopulation connectivity. Model animals search suitable habitat patches while dispersing through a model landscape made of cells varying in size, shape, attractiveness and friction. In the blind strategy, the next cell is chosen randomly among the adjacent ones. In the near-sighted strategy, the choice depends on the relative attractiveness of these adjacent cells. In the far-sighted strategy, animals may additionally target suitable patches that appear within their perceptual range. Simulations show that the blind strategy provides the best overall connectivity, and results in balanced dispersal. The near-sighted strategy traps animals into corridors that reduce the number of potential targets, thereby fragmenting metapopulations in several local clusters of demes, and inducing sink-source dynamics. This sort of local trapping is somewhat prevented in the far-sighted strategy. The colonization success of strategies depends highly on initial energy reserves: blind does best when energy is high, near-sighted wins at intermediate levels, and far-sighted outcompetes its rivals at low energy reserves. We also expect strong effects in terms of metapopulation genetics: the blind strategy generates a migrant-pool mode of dispersal that should erase local structures. By contrast, near- and far-sighted strategies generate a propagule-pool mode of dispersal and source-sink behavior that should boost structures (high genetic variance among- and low variance within local clusters of demes), particularly if metapopulation dynamics is also affected by extinction-colonization processes. Our results thus point to important effects of the cognitive ability of dispersers on the connectivity, dynamics and genetics of metapopulations

2006

Chargement

Beyond the patch: on landscape-explicit metapopulation dynamics

Jonathan Giezendanner

EPFL2020

2006