Identification and analysis of areas prone to conflict with wild boar (Sus scrofa) in the vineyards of Malayer County, western Iran

Karami, Peyman; Tavakoli, Sajad

doi:10.1016/j.ecolmodel.2022.110039

Cited by 13 publications

(7 citation statements)

References 88 publications

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“…A great use of dense forest patches by wild boars has been recorded by several previous studies, such as Keuling et al (2009) in Germany, Luskin et al (2021) and Khalidah et al (2021) in Malaysia, and Karami and Tavakoli (2022) in Iran. Overall, the selection of dense trees of red juniper for rubbing could be an adaptation strategy used to cope with human presence in the Ramsar site of SBG, while ensuring protection against possible predators (in our case, stray dogs), as stated recently by Barasona et al (2021) and Karami and Tavakoli (2022). The high sensitivity of wild boars to human disturbance has been reported by several studies, namely Ikeda et al (2019), andJohann et al (2020).…”

Section: Discussionmentioning

confidence: 77%

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Selection of trees for rubbing by the wild boar (Sus scrofa) in the Sidi Boughaba forested Moroccan Ramsar site: Assessment, implications, and perspectives

Ichen¹,

Hanane²,

Bouaamama³

et al. 2023

J. For. Sci.

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Knowledge of mechanisms by which large mammals select rubbing trees (RT) is a major challenge for the effective management of forests and wildlife resources. In this study, we investigated this issue regarding the wild boar (Sus scrofa) in the Moroccan forested site of Sidi Boughaba as a case study. We used data from four sets of variables, namely topography, forest type, landscape composition, and microhabitat, measured at 58 rub and control trees, to determine the factors associated with the occurrence of RT by means of generalized linear mixed models. Our results showed that the RT occurrence increased with a high density of red juniper trees and declined with a distance to the nearest footpath. The variation partitioning analysis revealed that the pure fraction of microhabitat was the most robust in explaining this occurrence (adj. R 2 = 0.17, P < 0.001), followed by that of forest type (adj. R 2 = 0.05, P < 0.05). A scientific monitoring system must be set up to strike a balance between the availability of forest trees on the one hand and the pressure exerted by wild boars in this internationally important site on the other. It is imperative to test the geographical generality of our results in other Mediterranean forests.

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Section: Discussionmentioning

confidence: 77%

“…The results of this investigation will help inform on the management of this suid species in forests. Given the known ecology of the wild boar, we hypothesized that the selection of RT will depend on (i) microhabitat (Luskin et al 2021;Khalidah et al 2021;Karami, Tavakoli 2022), and (ii) landscape structure (Acevedo et al 2006).…”

mentioning

confidence: 99%

Selection of trees for rubbing by the wild boar (Sus scrofa) in the Sidi Boughaba forested Moroccan Ramsar site: Assessment, implications, and perspectives

Ichen¹,

Hanane²,

Bouaamama³

et al. 2023

J. For. Sci.

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“…The AUC is mostly used to evaluate habitat models. The value higher than 0.9 is very good, 0.7 to 0.9 is good, and less than 0.7 is suitable (Karami & Tavakoli 2022).…”

Section: Habitat Modelingmentioning

confidence: 98%

“…Since the SDMs have different predictions, different algorithms were used to reduce uncertainties in the predictions. Four modeling algorithms including tree learning (Random Forest and TreeNET Gradient Boosting) and regression (Logistic Regression and Generalized Paths Seeker) models were used (Karami & Tavakoli 2022, Mo-rovati et al 2020. These models need presence and pseudo-absence points.…”

Section: Habitat Modelingmentioning

confidence: 99%

“…Then, all the models were combined with each other based on the AUC and the Ensemble model was created for each RCP. True Skill Statistic (TSS) was used to identify the suitable habitat (Karami & Tavakoli 2022). TSS takes into account the sensitivity and specificity statistics and range from -1 to +1, where +1 indicates a complete match and values of zero and less indicate that the used test did not differ from the random model (Morovati et al 2020).…”

Section: Habitat Modelingmentioning

confidence: 99%

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Fluctuation of the ecological niche of Moringa peregrina (Forssk.) Fiori with topoclimatic heterogeneity in southern Iran

Sahragard¹,

Karami²,

Ajorlo³

2023

iForest

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Heterogeneity can be studied for any dynamic or fixed environmental factors over time. However, determining the extent of heterogeneity occurrence in terms of habitat suitability, variability of dynamic and fixed factors, as well as landform role is an issue that has received less attention. This study aimed to investigate the distribution of Moringa peregrina at two climate change scenarios, to identify the Region of High Heterogenetic (ROHH) of the habitats in those scenarios and to ascertain the heterogeneity of habitat variables of the species in southern Iran. The current and potential distributions of the species in mild and severe climate change scenarios of 2050 and 2070, respectively, were modeled through the Ensemble technique using the climatic and topographic (topoclimatic) variables. The current distribution with four predictions of mild to severe Representative Concentration Pathways (RCP2.5, RCP4.5, RCP6.0 and RCP8.5) were entered into the principal component analysis (PCA) each year to achieve the heterogeneity of distribution. Then, the ROHH was calculated for areas with fluctuations of more than 50%. The topoclimatic variables in the ROHH were compared with the value of each variable in the current distribution in different landforms. The climatic variables of temperature seasonality and mean diurnal range had the greatest impact on M. peregrina distribution. There was more than 90% spatial agreement between the species current and potential distributions under different climate change scenarios (minimum Kappa = 0.9). In climate change scenarios, increase in species distribution is mainly limited by reduced rainfall, high temperature and altitude. The heterogeneity of habitat variables varied greatly in the ROHH and current presence points, indicating the species attempt to occupy new ecological niches. The highest distribution of the species was in the canyons and mountain tops, and the species seeks to occupy these areas in the ROHH. The magnitude of fluctuations of habitat variables at the presence points and the ROHH was different, indicating the species crossing the current niche range to establish in new niche. The mean diurnal range (Bio2) and annual precipitation (Bio12) variables had the lowest heterogeneity in 2050 and 2070 scenarios. This study reports that the fluctuation of habitat variables in areas with high heterogeneity was different from the current distribution range of M. peregrina. No significant fluctuation was found in the distribution range of the species in climate change scenarios.

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Understanding the patterns and predictors of human-elephant conflict in Tamil Nadu, India

Shameer,

Routray,

Udhayan

et al. 2024

Eur J Wildl Res

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Identification and analysis of areas prone to conflict with wild boar (Sus scrofa) in the vineyards of Malayer County, western Iran

Cited by 13 publications

References 88 publications

Selection of trees for rubbing by the wild boar (Sus scrofa) in the Sidi Boughaba forested Moroccan Ramsar site: Assessment, implications, and perspectives

Selection of trees for rubbing by the wild boar (Sus scrofa) in the Sidi Boughaba forested Moroccan Ramsar site: Assessment, implications, and perspectives

Fluctuation of the ecological niche of Moringa peregrina (Forssk.) Fiori with topoclimatic heterogeneity in southern Iran

Understanding the patterns and predictors of human-elephant conflict in Tamil Nadu, India

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