1997
DOI: 10.1098/rspb.1997.0032
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A test of heterogeneous mixing as a mechanism for ecological persistence in a disturbed environment

Abstract: Persistence is a central issue in population ecology with important implications for population management. Most theoretical studies have focused on continually interacting populations, even though many systems are subject to ecological disturbances which confound analysis of persistence. In this paper, we use a combination of a simple parasite-hyperparasite model with disturbances and field data to investigate the factors contributing to the observed persistence of the parasite population. The field data are … Show more

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Cited by 33 publications
(18 citation statements)
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“…When fitting the models with a heterogeneous mixing response to the S. minor-S. sclerotivorum data, we have obtained estimates for the mixing parameters, m < 1 and n > 1 (tables 1 and 2; see also Gubbins & Gilligan 1997a, their table 1). In this appendix, we prove the results on the influence these values for mixing parameters have on the stability of the population dynamics, as discussed in § 8 b.…”
Section: Appendix 3 Heterogeneous Mixing and Stabilitymentioning
confidence: 99%
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“…When fitting the models with a heterogeneous mixing response to the S. minor-S. sclerotivorum data, we have obtained estimates for the mixing parameters, m < 1 and n > 1 (tables 1 and 2; see also Gubbins & Gilligan 1997a, their table 1). In this appendix, we prove the results on the influence these values for mixing parameters have on the stability of the population dynamics, as discussed in § 8 b.…”
Section: Appendix 3 Heterogeneous Mixing and Stabilitymentioning
confidence: 99%
“…Fitting was by empirical weighted least squares with the reciprocal of the variance for each compartment using FACSIMILE (1995). The goodness of fit was tested by examination of the residual plots and the consistency and convergence of the parameter estimates for small differences in initial estimates (Gubbins & Gilligan 1996, 1997a. The consistency of the parameter estimates across the three data sets was also examined since, other things being equal, differences in X 0 would not be expected to affect parameters in the model.…”
Section: Parameter Estimationmentioning
confidence: 99%
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“…to incorporate implicitly effects of spatial aggregation and clustering of species. The modified mean-field approach was successively applied in different fields of theoretical ecology [13,27]. Another way to incorporate implicitly the space is the use of 'the scale transition approach' based on the moment approximation method [5,8].This technique allows to extrapolate results obtained with small-scale experiments to scales of natural habitats.…”
Section: Introductionmentioning
confidence: 99%