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7 results for “Wild boar ecology”

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zenodo36/100

Рис. 2. ЧисΛенность кабанов в разΛичные гоΔы на 10 км маршрута in The ecology and distribution of wild boars (Sus scrofa Linnaeus, 1758) in the foothills of the Martakert Region of the Republic of Artsakh

Рис. 2. ЧисΛенность кабанов в разΛичные гоΔы на 10 км маршрута

opencc-by-4.0Dec 2021View details →
zenodo36/100

Рис. 1. Карта района иссΛеΔований: 1 — Тонашен; 2 — Варнкатаг; 3 — Магавуз in The ecology and distribution of wild boars (Sus scrofa Linnaeus, 1758) in the foothills of the Martakert Region of the Republic of Artsakh

Рис. 1. Карта района иссΛеΔований: 1 — Тонашен; 2 — Варнкатаг; 3 — Магавуз

opencc-by-4.0Dec 2021View details →
zenodo36/100

Fig. 2 in The ecology and distribution of wild boars (Sus scrofa Linnaeus, 1758) in the foothills of the Martakert Region of the Republic of Artsakh

Fig. 2. The number of wild boars in different years in 10 km route

opencc-by-4.0Dec 2021View details →
dryad32/100

Ecological drivers of African swine fever virus persistence in wild boar populations: insight for control

Environmental sources of infection can play a primary role in shaping epidemiological dynamics, however the relative impact of environmental transmission on host-pathogen systems is rarely estimated. We developed and fit a spatially-explicit model of African swine fever virus (ASFV) in wild boar to estimate what proportion of carcass-based transmission is contributing to the low-level persistence of ASFV in Eastern European wild boar. Our model was developed based on ecological insight and data from field studies of ASFV and wild boar in Eastern Poland. We predicted that carcass-based transmission would play a substantial role in persistence, especially in low-density host populations where contact rates are low. By fitting the model to outbreak data using Approximate Bayesian Computation, we inferred that between 53 to 66% of transmission events were carcass-based – i.e., transmitted through contact of a live host with a contaminated carcass. Model fitting and sensitivity analyses showed that the frequency of carcass-based transmission increased with decreasing host density, suggesting that management policies should emphasize the removal of carcasses and consider how reductions in host densities may drive carcass-based transmission. Sensitivity analyses also demonstrated that carcass-based transmission is necessary for the autonomous persistence of ASFV under realistic parameters. Autonomous persistence through direct transmission alone required high host densities; otherwise re-introduction of virus periodically was required for persistence when direct transmission probabilities were moderately high. We quantify the relative role of different persistence mechanisms for a low-prevalence disease using readily collected ecological data and viral surveillance data. Understanding how the frequency of different transmission mechanisms vary across host densities can help identify optimal management strategies across changing ecological conditions.

opencc-zeroFeb 2021View details →
dryad32/100

Ecological drivers of African swine fever virus persistence in wild boar populations: insight for control

Open the record for dataset details and reuse information.

publicJan 2021View details →
dryad28/100

Ecological relationships among habitat type, food nutrients, parasites and hormones in wild boar during winter

<p>Habitat quality and parasite assembly influence wildlife health, and they are key indicators of health and survivability of wildlife populations. To investigate the potential ecological relationships among habitat type, food nutrients, parasites and hormones in wild boar (<i><span>Sus scrofa</span></i>), we collected samples of wild boar feces and available plants in their habitat <span>by line transects during winter</span><span>. </span><span>Along transects, we identified the composition of plants foraged by wild boar and measured the content of nutrients in available plants to estimate nutrient intake. We also quantified parasites and hormones in wild boar fecal samples. We compared food nutrients among different forest types and explored possible relationships among estimated nutrient intake, parasites and hormones.</span><span> We found coniferous forest</span><span> had positive effects on estimated fat intake and negative effects on estimated protein and fiber intake by wild boar</span><span>. Furthermore, we revealed that </span><span>estimated fat intake was negatively correlated with </span><i><span><span>Metastrongylus elongatus </span></span></i><span>parasites and positively correlated with triiodothyronine (T3). In contrast, estimated protein intake was positively correlated with </span><i><span><span>M. elongatus</span></span></i><span> and negatively correlated with T3. </span><span>Finally, we found </span><span>negative relationship</span><span>s</span><span> between T3 concentrations and loads of </span><i><span><span>Ascaris suum</span></span></i><span> parasites and between cortisol (COR) and loads of </span><i><span><span>Trichuris suis</span></span></i><span> parasites.</span><i> </i><span>T</span><span>hese insights on ecological relationships help identify potential dietary parameters in winter that could help predict and manage parasite and hormone responses for wild boar population recovery.</span>Habitat quality and parasite assembly influence wildlife health, and they are key indicators of health and survivability of wildlife populations. To investigate the potential ecological relationships among habitat type, food nutrients, parasites and hormones in wild boar (<i><span>Sus scrofa</span></i>), we collected samples of wild boar feces and available plants in their habitat <span>by line transects during winter</span><span>. </span><span>Along transects, we identified the composition of plants foraged by wild boar and measured the content of nutrients in available plants to estimate nutrient intake. We also quantified parasites and hormones in wild boar fecal samples. We compared food nutrients among different forest types and explored possible relationships among estimated nutrient intake, parasites and hormones.</span><span> We found coniferous forest</span><span> had positive effects on estimated fat intake and negative effects on estimated protein and fiber intake by wild boar</span><span>. Furthermore, we revealed that </span><span>estimated fat intake was negatively correlated with </span><i><span><span>Metastrongylus elongatus </span></span></i><span>parasites and positively correlated with triiodothyronine (T3). In contrast, estimated protein intake was positively correlated with </span><i><span><span>M. elongatus</span></span></i><span> and negatively correlated with T3. </span><span>Finally, we found </span><span>negative relationship</span><span>s</span><span> between T3 concentrations and loads of </span><i><span><span>Ascaris suum</span></span></i><span> parasites and between cortisol (COR) and loads of </span><i><span><span>Trichuris suis</span></span></i><span> parasites.</span><i> </i><span>T</span><span>hese insights on ecological relationships </span><span>help identify potential dietary parameters in winter that could help predict and manage parasite and hormone responses for wild boar population recovery.</span></p>

opencc-zeroJan 2022View details →
dryad28/100

Ecological relationships among habitat type, food nutrients, parasites and hormones in wild boar during winter

Open the record for dataset details and reuse information.

publicJan 2022View details →

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International Brain Laboratory public data

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OpenNeuro

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Last verified 2026-04-29Open record