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The link between multi‐host use and host switching in host–parasite interactions is a continuing area of debate. Lycaenid butterflies in the genus Maculinea, for example, exploit societies of different Myrmica ant species across their ranges, but there is only rare evidence that they simultaneously utilise multiple hosts at a local site, even where alternative hosts are present.
We present a simple population‐genetic model accounting for the proportion of two alternative hosts and the fitness of parasite genotypes on each host. In agreement with standard models, we conclude that simultaneous host use is possible whenever fitness of heterozygotes on alternative hosts is not too low.
We specifically focus on host‐shifting dynamics when the frequency of hosts changes. We find that (i) host shifting may proceed so rapidly that multiple host use is unlikely to be observed, (ii) back and forth transition in host use can exhibit a hysteresis loop, (iii) the parasites' host use may not be proportional to local host frequencies and be restricted to the rarer host under some conditions, and (iv) that a substantial decline in parasite abundance may typically precede a shift in host use.
We conclude that focusing not just on possible equilibrium conditions but also considering the dynamics of host shifting in non‐equilibrium situations may provide added insights into host–parasite systems.
Die Untersuchung des Flächenanspruchs von Tierpopulationen ist wegen folgender Gesichtspunkte wichtig: (a) Nachdem das Aussterben der Arten nicht nachläßt, erhebt sich die Frage nach den Möglichkeiten im Naturschutz, quantitative Forderungen zu begründen. (b) Da selbst gezielte Schutzmaßnahmen sinnlos werden, wenn die Voraussetzungen für das überleben der Arten oder Lebensgemeinschaften nicht gegeben sind, muß man sich fragen, wieviel an Umweltverschmutzung reduziert werden muß, damit der Artenschutz verwirklicht werden kann. Der "Extensivierungsspielraum" an sich reicht nicht aus. Die Frage nach dem Flächenanspruch schließt den Gedanken einer "mindestens notwendigen" Flächensicherung ein. Der Flächenbedarf einer Tierpopulation wird bestimmt durch (A) den Raumbedarf der Reproduktionseinheit, und (B) der Größe einer überlebensfähigen Population. (A) variiert durch die individuell und im Jahresverlauf schwankenden Aktionsraumgrößen und die unterschiedliche Habitatqualität. Die überlebensfähigkeit (B) einer Population ist von Zufallsprozessen abhängig und daher nur mit einer gewissen Wahrscheinlichkeit abschätzbar. Vier verschiedene (nicht anthropogene) Faktoren können selbst in einem geeigneten Habi tat zum Aussterben von Populationen führen: (a) demographische und (b) genetische Zufallsprozesse, (c) Umweltschwankungen und (d) (Natur) katastrophen. Eine Absicherung gegen diese Risikofaktoren wird durch Vergrößerung der Population, Erhöhung der Zahl geeigneter Habitate und Verringerung der Isolierung zwischen den bewohnten Flächen erreicht. Eine Mindestforderung (Minimalareal die mindest notwendige Fläche, die geschützt werden muß) kann nur an der sog. "minimum viable population" bemessen werden. Die Gefährdungsgradanalyse ("population vulnerability analysis") für eine bestimmte Tierart liefert die notwendigen Angaben zur Habitatqualität, Flächengröße und Lage der Flächen, die für die Zukunftssicherung einer Population unter natürlichen Bedingungen (z.B. "mit 95%iger Wahrscheinlichkeit die nächsten 50 Jahre überlebensfähig" ) notwendig sind. Sowohl beim konstruktiven Artenschutz wie auch für die Schadensbegrenzung bei Eingriffsregelungen sollte eine Zielart ausgewählt werden, damit die Flächensicherung eindeutig quantitativ begründet werden kann. Die Auswahl einer Zielart erfolgt nach Kriterien wie überregionaler Gefährdungsgrad, Schlüsselart, Chancen der Populationssicherung und wird regional nach den bestehenden Voraussetzungen (Vorkommen, Habitatangebot, Regionalplan) angepaßt. Die wesentlichen Aspekte eines ZielartenKonzeptes sind: Der Flächenbedarf für Schutz- und Ausgleichsmaßnahmen wird an den Überlebensaussichten einzelner Tierpopulationen bemessen -- Die Zukunftssicherung muß natürliche Bedingungen (nicht ständige Stützmaßnahmen) voraussetzen -- Die Analyse von Risikofaktoren bildet die Grundlage für die Abschätzung der Zukunftsaussichten. Es sind wissenschaftlich begründete, quantitative Aussagen möglich. Durch die Sicherung von Flächen mit geeigneter Habitatqualität profitieren viele weitere Arten von den Schutzmaßnahmen. Es entsteht ein künftiger Forschungsbedarf vor allem zu den Gefährdungsgradanalysen ausgewählter Zielarten. Für die praktische Umsetzung sind die Aufstellung einer regional angepaßten Zielartenliste, Habitateignungsanalysen und die Entwicklung von Populationsmodellen für Zielarten von seiten der biologischen Wissenschaft nötig.
More recently, it became clear that conclusions drawn from traditional ecological theory may be altered substantially if the spatial dimension of species interactions is considered explicitly. Regardless of the details of these models, spatially explicit simulations of ecological processes have nearly universally shown that spatial or spatio-temporal patterns in species distributions can emerge even from homogeneous starting conditions; limited dispersal is one of the key factors responsible for the development of such aggregated and patchy distributions (cf., Pacala 1986, Holmes et al. 1994, Molofsky 1994, Tilman 1994, Bascompte and Sole 1995, 1997, 1998, Jeltsch et al. 1999). In line with these ideas, we wish to draw attention to the fact that in heterogeneous landscapes differences in characteristic dispersal distances between species are a sufficient precondition for the emergence of a successional pattern. We will use a simple, spatially explicit simulation program to demonstrate the validity of this statement. We will also show that the speed of the successional progress depends on scale and heterogeneity in the distribution of suitable habitat.
Caterpillars of the butterfly Maculinea rebeli develop as parasites inside ant colonies. In intensively studied French populations, about 25% of caterpillars mature within 1 year (fast-developing larvae [FDL]) and the others after 2 years (slow-developing larvae [SDL]); all available evidence indicates that this ratio is under the control of egg-laying females. We present an analytical model to predict the evolutionarily stable fraction of FDL (pESS). The model accounts for added winter mortality of SDL, general and kin competition among caterpillars, a competitive advantage of SDL over newly entering FDL (priority effect), and the avoidance of renewed infection of ant nests by butterflies in the coming season (segregation). We come to the following conclusions: (1) all factors listed above can promote the evolution of delayed development; (2) kin competition and segregation stabilize pESS near 0.5; and (3) a priority effect is the only mechanism potentially selecting for. However, given the empirical data, pESS is predicted to fall closer to 0.5 than to the 0.25 that has been observed. In this particular system, bet hedging cannot explain why more than 50% of larvae postpone growth. Presumably, other fitness benefits for SDL, for example, higher fertility or longevity, also contribute to the evolution of delayed development. The model presented here may be of general applicability for systems where maturing individuals compete in small subgroups.
No abstract available
No abstract available
It is assumed that a properly timed circadian clock enhances fitness, but only few studies have truly demonstrated this in animals. We raised each of the three classical Drosophila period mutants for >50 generations in the laboratory in competition with wildtype flies. The populations were either kept under a conventional 24-h day or under cycles that matched the mutant’s natural cycle, i.e., a 19-h day in the case of pers mutants and a 29-h day for perl mutants. The arrhythmic per0 mutants were grown together with wildtype flies under constant light that renders wildtype flies similar arrhythmic as the mutants. In addition, the mutants had to compete with wildtype flies for two summers in two consecutive years under outdoor conditions. We found that wildtype flies quickly outcompeted the mutant flies under the 24-h laboratory day and under outdoor conditions, but perl mutants persisted and even outnumbered the wildtype flies under the 29-h day in the laboratory. In contrast, pers and per0 mutants did not win against wildtype flies under the 19-h day and constant light, respectively. Our results demonstrate that wildtype flies have a clear fitness advantage in terms of fertility and offspring survival over the period mutants and – as revealed for perl mutants – this advantage appears maximal when the endogenous period resonates with the period of the environment. However, the experiments indicate that perl and pers persist at low frequencies in the population even under the 24-h day. This may be a consequence of a certain mating preference of wildtype and heterozygous females for mutant males and time differences in activity patterns between wildtype and mutants.
Abstract: Inbreeding depression, asymmetries in costs or benefits of dispersal, and the mating system have been identified as potential factors underlying the evolution of sex-biased dispersal. We use individual-based simulations to explore how the mating system and demographic stochasticity influence the evolution of sex-specific dispersal in a metapopulation with females competing over breeding sites, and males over mating opportunities. Comparison of simulation results for random mating with those for a harem system (locally, a single male sires all offspring) reveal that even extreme variance in local male reproductive success (extreme male competition) does not induce male-biased dispersal. The latter evolves if the between-parch variance in reproductive success is larger for males than females. This can emerge due to demographic stochasticity if the habitat patches are small. More generally, members of a group of individuals experiencing higher spatio-temporal variance in fitness expectations may evolve to disperse with greater probability than others.
Abstract: Inbreeding avoidance and asymmetric competition over resources have both been identified as factors favoring the evolution of sex-biased dispersal. It has also been recognized that sex-specific costs of dispersal would select for sex-biased dispersal, but there is little quantitative information on this aspect. In this paper we explore (i) the quantitative relationship between cost-asymmetry and a bias in dispersal, (ii) the influence of demographic stochasticity on this effect, and (iii) how inbreeding and cost-asymmetry interact in their effect on sex-specific dispersal. We adjust an existing analytical model to account for sex-specific costs of dispersal. Based on numerical calculations we predict a severe bias in dispersal already for small differences in dispersal costs. We corroborate these predictions in individual-based simulations, but show that demographic stochasticity generally leads to more balanced dispersal. In combination with inbreeding, cost asymmetries will usually determine which of the two sexes becomes the more dispersive.
The optimal probability and distance of dispersal largely depend on the risk to end up in unsuitable habitat. This risk is highest close to the habitat’s edge and consequently, optimal dispersal probability and distance should decline towards the habitat’s border. This selection should lead to the emergence of spatial gradients in dispersal strategies. However, gene flow caused by dispersal itself is counteracting local adaptation. Using an individual based model we investigate the evolution of local adaptations of dispersal probability and distance within a single, circular, habitat patch. We compare evolved dispersal probabilities and distances for six different dispersal kernels (two negative exponential kernels, two skewed kernels, nearest neighbour dispersal and global dispersal) in patches of different size. For all kernels a positive correlation between patch size and dispersal probability emerges. However, a minimum patch size is necessary to allow for local adaptation of dispersal strategies within patches. Beyond this minimum patch area the difference in mean dispersal distance between center and edge increases linearly with patch radius, but the intensity of local adaptation depends on the dispersal kernel. Except for global and nearest neighbour dispersal, the evolved spatial pattern are qualitatively similar for both, mean dispersal probability and distance. We conclude, that inspite of the gene-flow originating from dispersal local adaptation of dispersal strategies is possible if a habitat is of sufficient size. This presumably holds for any realistic type of dispersal kernel.