The population modelling of fallow deer and wild boar in a Mediterranean ecosystem

Focardi, Stefano; Toso, Sergio Grez; Pecchioli, Elena

doi:10.1016/s0378-1127(96)03804-2

Cited by 42 publications

(36 citation statements)

References 6 publications

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“…Assuming a requirement of 100 kcal per kilogram of live weight per day, 0.41 kg of corn represents 15% of the nutritional requirement of an adult male and 10% of that of a lactating female. After completion of the feeding site counts, we estimated the population size and a harvest plan was implemented using the model described by Focardi et al (1996), but using deterministic parameterassignment values. The overall objective of the harvest plan was to maintain the subadult and adult segments of the population at a constant proportion.…”

Section: Methodsmentioning

confidence: 99%

Survival of Wild Boars in a Variable Environment: Unexpected Life-history Variation in an Unusual Ungulate

Focardi¹,

Gaillard²,

Ronchi³

et al. 2008

Journal of Mammalogy

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Section: Methodsmentioning

confidence: 99%

Survival of Wild Boars in a Variable Environment: Unexpected Life-history Variation in an Unusual Ungulate

Focardi¹,

Gaillard²,

Ronchi³

et al. 2008

Journal of Mammalogy

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“…MSEIR architecture (M=maternal immunized; S=susceptible, E=latent; I=infectious; R=recovered) (Anderson and May, 1991;Hethcote, 2000) with two age-classes: 0-4 months and > 4months) ( Figure 6); b. Inter-patch migration density dependent and limited to > 4 months-old animals (Massei and Genov, 2000); c. Intra-patch virus transmission modelled as true-mass action (frequency dependent) (McCallum, 2000). Inter-patch virus spread dependent by latent (E) or infectious (I) animals migration (Arino et al, 2005); d. Logistic growth (Wilson and Bossert, 1974) with both natality and newborn survival dependent on wild boar density (Focardi et al,1996); e. Age independent coefficient of transmission (β) (Rossi et al, 2005); f. Seasonal variation in natality and hunting rates (Fenati and Armaroli, 2004).…”

Section: Simulation Of a Csf Epidemic In A Wild Boar Population And Tmentioning

confidence: 99%

Control and eradication of Classic Swine Fever in wild boar

2009

EFSA Journal

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SummaryClassical swine fever (CSF) is a disease that has been causing major socio-economic damages in the EU during the last decades. Although considerable progress has been made in the eradication and prevention of the disease, the threat for an epidemic still exists.The virus is endemic in the wild boar population of several member states (MS). Wild boar cannot be managed as domestic pigs. Hunting and vaccination have been tentatively used in order to stop transmission by reducing the number of susceptibles. Oral vaccination of wild boar with modified live vaccine based on the C-strain (the only suitable) is used; this vaccine does not allow serological differentiation between vaccinated and infected animals.The aim of the control measures for CSF in wild boar is to reduce the risk of transmission to domestic pigs, to prevent an "endemic phase evolution" or to reduce the endemic phase duration.In order to support and to improve the control and eradication measures as regards CSF in wild boar, EFSA was requested by the Commission to provide scientific advice on the efficacy of the available surveillance, hunting and vaccination measures to control and eradicate CSF in feral pig populations (wild boar), considering the possible use of new diagnostic tests and vaccines.In order to reply to the mandate data were collected from MS through two questionnaires (CSF vaccines, hunting practices and CSF vaccination in wild boar). Data were also extracted from the EU CSF wild boar data base, after requesting permission from the participating MS.Considering that the data received were rather limited and not comparable, the WG decided to use a model in order to fill the gaps in the available knowledge. For the evaluation of the efficacy of CSF control in wild boar a continuous metapopulation compartmental model developed in an EU research project (FP6-5015599-CSFVACCINE&WILDBOAR) was applied.Although the disease manifests in the same manner in both domestic pig and wild boar it is more difficult to identify in wild boar because clinical monitoring of these is hardly possible. Wild boar found dead constitutes the main alert sign of CSF. Hunters and gamekeepers should be instructed to report the finding of each dead wild boar to the competent authority at all times. In case of high-risk situations, a passive surveillance should be complemented by an active serological surveillance. The active sampling of wild boar is not as efficient as in domestic pigs considering that hunting is the sole practical system to obtain samples and that the aim of hunting is quite different.Consequently, the sample size is not controlled by authorities and fits rarely the aim of the survey in terms of detecting the presence of disease at a certain level. In addition, the interpretation of serological results is confounded by maternal derived antibodies (until the 6th month of age), vaccination and the sampling quality.There is no definition at EU level of spatial and temporal units for surveillance, neither for criteria defining a disease free wi...

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“…This structure is commonly used for modelling animal populations. For example, recent examples include studies on birds [15][16][17][18], mammals [19][20][21][22], insects [23,24] and fish [25]. The model has a Fig.…”

Section: The Baseline Modelmentioning

confidence: 99%

Equivalence relationships between stage-structured population models

Yearsley¹,

Fletcher

2002

Mathematical Biosciences

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Matrix population models are widely applied in conservation ecology to help predict future population trends and guide conservation effort. Researchers must decide upon an appropriate level of model complexity, yet there is little theoretical work to guide such decisions. In this paper we present an analysis of a stage-structured model, and prove that the model's structure can be simplified and parameterised in such a way that the long-term growth rate, the stable-stage distribution and the generation time are all invariant to the simplification. We further show that for certain structures of model the simplified models require less effort in data collection. We also discuss features of the models which are not invariant to the simplification and the implications of our results for the selection of an appropriate model. We illustrate the ideas using a population model for short-tailed shearwaters (Puffinus tenuirostris). In this example, model simplification can increase parameter elasticity, indicating that an intermediate level of complexity is likely to be preferred.

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The population modelling of fallow deer and wild boar in a Mediterranean ecosystem

Cited by 42 publications

References 6 publications

Survival of Wild Boars in a Variable Environment: Unexpected Life-history Variation in an Unusual Ungulate

Survival of Wild Boars in a Variable Environment: Unexpected Life-history Variation in an Unusual Ungulate

Control and eradication of Classic Swine Fever in wild boar

Equivalence relationships between stage-structured population models

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