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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.
Questions: What are the relative contributions of kin selection and individual selection to the evolution of dispersal rates in fragmented landscapes? How do environmental parameters influence the relative contributions of both evolutionary forces? Features of the model: Individual-based simulation model of a metapopulation. Logistic local growth dynamics and density-dependent dispersal. An optional shuffling algorithm allows the continuous destruction of any genetic structure in the metapopulation. Ranges of key variables: Depending on dispersal mortality (0.05-0.4) and the strength of environmental fluctuations, mean dispersal probability varied between 0.05 and 0.5. Conclusions: For local population sizes of 100 individuals, kin selection alone could account for dispersal probabilities of up to 0.1. It may result in a ten-fold increase of optimal dispersal rates compared with those predicted on the basis of individual selection alone. Such a substantial contribution of kin selection to dispersal is restricted to cases where the overall dispersal probabilities are small (textless 0.1). In the latter case, as much as 30% of the total fitness of dispersing individuals could arise from the increased reproduction of kin left in the natal patch.
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.
Many organisms show polymorphism in dispersal distance strategies. This variation is particularly ecological relevant if it encompasses a functional separation of short- (SDD) and long-distance dispersal (LDD). It remains, however, an open question whether both parts of the dispersal kernel are similarly affected by landscape related selection pressures. We implemented an individual-based model to analyze the evolution of dispersal traits in fractal landscapes that vary in the proportion of habitat and its spatial configuration. Individuals are parthenogenetic with dispersal distance determined by two alleles on each individual‘s genome: one allele coding for the probability of global dispersal and one allele coding for the variance of a Gaussian local dispersal with mean value zero. Simulations show that mean distances of local dispersal and the probability of global dispersal, increase with increasing habitat availability, but that changes in the habitat's spatial autocorrelation impose opposing selective pressure: local dispersal distances decrease and global dispersal probabilities increase with decreasing spatial autocorrelation of the available habitat. Local adaptation of local dispersal distance emerges in landscapes with less than 70% of clumped habitat. These results demonstrate that long and short distance dispersal evolve separately according to different properties of the landscape. The landscape structure may consequently largely affect the evolution of dispersal distance strategies and the level of dispersal polymorphism.
We present the results of individual-based simulation experiments on the evolution of dispersal rates of organisms living in metapopulations. We find conflicting results regarding the relationship between local extinction rate and evolutionarily stable (ES) dispersal rate depending on which principal mechanism causes extinction: if extinction is caused by environmental catastrophes eradicating local populations, we observe a positive correlation between extinction and ES dispersal rate; if extinction is a consequence of stochastic local dynamics and environmental fluctuations, the correlation becomes ambiguous; and in cases where extinction is caused by dispersal mortality, a negative correlation between local extinction rate and ES dispersal rate emerges. We conclude that extinction rate, which both affects and is affected by dispersal rates, is not an ideal predictor for optimal dispersal rates.
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.
No abstract available
Das Zielartenkonzept
(1992)
No abstract available
No abstract available