Temporal pattern of moose-vehicle collisions

Borowik, Tomasz; Ratkiewicz, Mirosław; Maślanko, Weronika; Kowalczyk, Rafał; Duda, Norbert; Żmihorski, Michał

doi:10.1016/j.trd.2021.102715

Cited by 17 publications

(13 citation statements)

References 51 publications

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“…Moreover, wolf studies [40] show a different relationship between the number of crashes and the month. The dependence of the number of crashes on the time of day and month is similar to that in the Czech Republic [55,60], Lithuania [74], Spain (but only for wild boars) [38,54], and the United States [12], as well as to other studies conducted in Poland [28]. A similar temporal pattern of the monthly numbers of animal-vehicle crashes was obtained for deer in Utah (the United States) [39] and Poland [88], and for the total crashes in the study [14], which are based on older data than the studies in this article.…”

Section: Temporal Analysis Of Animal-vehicle Crashessupporting

confidence: 80%

“…This group does not include animals under species protection, such as the European bison or the brown bear, because of the small numbers of these individuals in Poland. The most common publication topic is road crashes with moose [17,[28][29][30][31][32][33][34][35][36]. Other large animals studied include roe deer [37], deer [32,38,39], reindeer [11], and wild boar [38].…”

Section: Introduction 1the Problem Of Road Animal-vehicle Crashesmentioning

confidence: 99%

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Spatiotemporal Analysis of Road Crashes with Animals in Poland

2022

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This article describes the issue of the influences of the time factor and wildlife populations on road animal–vehicle crashes. The article presents problems associated with animal–vehicle crashes in Poland. They are the subject of many court disputes. For the purposes of the study, data on animal–vehicle road crashes were obtained from the SEWiK database, as well as data on the numbers of animals in hunting districts from 2016–2020. The relationship between the number of road crashes and time was analysed, and the relationships between the numbers of road crashes and the animal populations, as well as the locations, types, and categories of the hunting districts, were analysed as well. The factors related to changes in the wildlife populations, road crashes in previous years, and the lengths of the road networks were also analysed. The research shows no relationship between the abundance of a particular species and the number of road crashes. Instead, there is a correlation between the number of crashes in previous years and the road network length.

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Section: Temporal Analysis Of Animal-vehicle Crashessupporting

confidence: 80%

Section: Introduction 1the Problem Of Road Animal-vehicle Crashesmentioning

confidence: 99%

Spatiotemporal Analysis of Road Crashes with Animals in Poland

2022

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“…Roads contribute to loss of biodiversity, both directly, through habitat fragmentation and degradation (Meijer et al, 2018;Silva et al, 2020;Fullman et al, 2021), reduced movement and gene flow (Epps et al, 2005;Cushman et al, 2010;Dean et al, 2019), increased risk of wildlife vehicle collisions (Mohammadi and Kaboli, 2016;Mohammadi et al, 2018;Saint-Andrieux et al, 2020;Borowik et al, 2021) and increased disturbance (Leblond et al, 2013;Iglesias-Merchan et al, 2018), and indirectly, via providing access for poaching (Clevenger et al, 2002;Ordiz et al, 2017;Kaszta et al, 2019;Carter et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Quantifying Landscape Degradation Following Construction of a Highway Using Landscape Metrics in Southern Iran

Mohammadi

Fatemizadeh

2021

Front. Ecol. Evol.

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Rapid expansion of roads is among the strongest drivers of the loss and degradation of natural habitats. The goal of the present study is to quantify landscape fragmentation and degradation before and after the construction of the Isfahan-Shiraz highway in southern Iran. To this end, the ecological impacts of the highway on forests, rangelands, and protected areas were evaluated. Impacts of the construction of the highway were studied within a 1,000-m buffer around the road, which was then overlaid on maps of forests, rangelands, and protected areas. Class area, number of patches, largest patch index, edge density, landscape shape index, mean patch size, and patch cohesion index were used to gauge changes in the spatial configuration of the landscape; the ecological impacts of the highway were quantified using effective mesh size (MESH), division index, and splitting index. The results indicated that after the construction of the highway, 6,406.9 ha of forest habitat, 16,647.1 ha of rangeland habitat, and 912 of the Tang-e Bostanak Protected Area will be lost. The effective MESH metric showed that after the construction of the highway, the area of forest, rangeland habitats and protected area will decrease by 20,537, 49,149, and 71,822 ha, respectively. Our findings revealed drastic habitat loss and landscape fragmentation associated with construction of the highway, serving as references for conservation planning and development.

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“…In Germany, moose disappeared around the 17th century, and repeated attempts to re‐establish a population failed in the 20th century (Schönfeld, 2009). When the Polish moose population further decreased in the 1990s, Poland imposed a hunting ban across the country (Borowik et al, 2021). After the population started to increase due to effective enforcement of the hunting ban (Borowik et al, 2018), there have been repeated moose sightings in the eastern part of Germany (Janik et al, 2021; Martin, 2013).…”

Section: Methodsmentioning

confidence: 99%

“…Although the return of these three species is welcomed by some parts of society (Arbieu et al, 2019; Carpio et al, 2020; Schwerk et al, 2021), bison, moose and wolf also pose a high potential for human‐wildlife conflicts (Arbieu et al, 2021; Darimont et al, 2018; Jung, 2020). Collisions with vehicles and trains are major concerns for the two large herbivores (Borowik et al, 2021; Jasińska et al, 2019), while the growing number of wolves and livestock depredation are at the core of an emotional and political debate (Kiffner et al, 2019; Reinhardt et al, 2019; Ronnenberg et al, 2017; Trouwborst, 2018). Involving citizens in monitoring and management activities could improve the public's understanding and support for these species and contribute to effectively addressing the multiple potential conflicts associated with these species (Kansky et al, 2021; Schuttler et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Knowledge of returning wildlife species and willingness to participate in citizen science projects among wildlife park visitors in Germany

et al. 2022

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1. Successful conservation efforts have led to recent increases of large mammals such as European bison Bison bonasus, moose Alces alces and grey wolf Canis lupus and their return to former habitats in central Europe. While embraced by some, the recovery of these species is a controversial topic and holds potential for human-wildlife conflicts. Involving the public has been suggested to be an effective method for monitoring wildlife and mitigating associated conflicts. To assess two interrelated prerequisites for engaging people in Citizen Science(CS)-knowledge of returning species and respondents' readiness to participate in CS activities for monitoring and managing these species-we conducted a survey (questionnaire) in two wildlife parks located in different states of Germany.Based on 472 complete questionnaires, we developed generalized linear models to understand how sociodemographic variables and exposure to the species affected visitors' knowledge of each species, and to investigate if sociodemographic variables and knowledge influenced the likelihood of visitors to participate in CS activities.3. Almost all visitors were aware of the returning wolf population, while knowledge and awareness about bison and moose were significantly lower. Knowledge of the two herbivores differed geographically (higher knowledge of moose in the north-eastern state), possibly indicating a positive association between exposure to the species and knowledge. However, models generally performed poorly in predicting knowledge about wildlife, suggesting that such specific knowledge is insufficiently explained by sociodemographic variables. 4. Our model, which explained stated willingness in CS indicated that younger participants and those with higher knowledge scores in the survey were more willing to engage in CS activities.

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Temporal pattern of moose-vehicle collisions

Cited by 17 publications

References 51 publications

Spatiotemporal Analysis of Road Crashes with Animals in Poland

Spatiotemporal Analysis of Road Crashes with Animals in Poland

Quantifying Landscape Degradation Following Construction of a Highway Using Landscape Metrics in Southern Iran

Knowledge of returning wildlife species and willingness to participate in citizen science projects among wildlife park visitors in Germany

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