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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.
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.
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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.
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.
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.
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.
Climate change can alter the phenology of organisms. It may thus lead seasonal organisms to face different day lengths than in the past, and the fitness consequences of these changes are as yet unclear. To study such effects, we used the pea aphid Acyrthosiphon pisum as a model organism, as it has obligately asexual clones which can be used to study day length effects without eliciting a seasonal response. We recorded life-history traits under short and long days, both with two realistic temperature cycles with means differing by 2 °C. In addition, we measured the population growth of aphids on their host plant Pisum sativum. We show that short days reduce fecundity and the length of the reproductive period of aphids. Nevertheless, this does not translate into differences at the population level because the observed fitness costs only become apparent late in the individual's life. As expected, warm temperature shortens the development time by 0.7 days/°C, leading to faster generation times. We found no interaction of temperature and day length. We conclude that day length changes cause only relatively mild costs, which may not decelerate the increase in pest status due to climate change.
Dispersal is a life-history trait affecting dynamics and persistence of populations; it evolves under various known selective pressures. Theoretical studies on dispersal typically assume 'natal dispersal', where individuals emigrate right after birth. But emigration may also occur during a later moment within a reproductive season ('breeding dispersal'). For example, some female butterflies first deposit eggs in their natal patch before migrating to other site(s) to continue egg-laying there. How breeding compared to natal dispersal influences the evolution of dispersal has not been explored. To close this gap we used an individual-based simulation approach to analyze (i) the evolution of timing of breeding dispersal in annual organisms, (ii) its influence on dispersal (compared to natal dispersal). Furthermore, we tested (iii) its performance in direct evolutionary contest with individuals following a natal dispersal strategy. Our results show that evolution should typically result in lower dispersal under breeding dispersal, especially when costs of dispersal are low and population size is small. By distributing offspring evenly across two patches, breeding dispersal allows reducing direct sibling competition in the next generation whereas natal dispersal can only reduce trans-generational kin competition by producing highly dispersive offspring in each generation. The added benefit of breeding dispersal is most prominent in patches with small population sizes. Finally, the evolutionary contests show that a breeding dispersal strategy would universally out-compete natal dispersal.