Assessing methods to live-capture wild boars (Sus scrofa) in urban and peri-urban environments

2020 ◽  
Vol 187 (10) ◽  
pp. e85-e85
Author(s):  
Irene Torres-Blas ◽  
Gregorio Mentaberre ◽  
Raquel Castillo-Contreras ◽  
Xavier Fernández-Aguilar ◽  
Carles Conejero ◽  
...  

BackgroundWild boar (Sus scrofa) populations are increasing worldwide and invading urban areas. Live-capture can improve the management of this challenge, maximising efficiency, allowing scientific studies and potentially improving animal welfare. This study assesses teleanaesthesia, drop-net, corral trap and cage trap to live-capture wild boar in urban and peri-urban areas, evaluating efficiency and animal stress through haematology and serum biochemistry.MethodsFrom 2012 to 2018, 655 wild boars were captured in 279 operations (drop-net=17, teleanaesthesia=186, cage trap=66 and corral trap=10) in the urban and peri-urban areas of Barcelona (Spain). Haematological and serum biochemical variables were determined in 145 wild boars (42 drop-netted, 41 teleanaesthetised, 38 cage-trapped and 24 corral-trapped).ResultsPerformance (wild boars captured per operation) was highest for drop-net, followed by corral and cage traps, and finally teleanaesthesia. The three physical capture methods were more stressful than teleanaesthesia, causing a more intense physiological reaction, muscular damage, renal function impairment and homeostasis adaption. Stress response was predominantly adrenergic for drop-net and cortisol-induced for cage and corral traps.ConclusionTeleanaesthesia is the choice in reactive urban situations thanks to its adaptability; drop-net effectively targets wild boars in peri-urban environments; cage and corral traps are useful as long-term methods in specific areas.

2018 ◽  
Vol 98 (3) ◽  
pp. 557-564
Author(s):  
Martyna Batorska ◽  
Justyna Więcek ◽  
Małgorzata Kunowska-Slósarz ◽  
Kamila Puppel ◽  
Jan Slósarz ◽  
...  

The objective of this study was to investigate the effect of carcass weight on chemical characteristics and fatty acid composition of m. longissimus dorsi and m. semimembranosus of European wild boar (Sus scrofa scrofa) meat. The research was carried out on 50 wild boars shot during four battues at hunting reserves in the central part of Poland. The carcasses were divided into three groups: ≤30 kg (G1), 31–45 kg (G2), and >45 kg (G3). The protein concentration increased with carcass weight (P ≤ 0.01). The concentration of saturated fatty acids was influenced by carcass weight and was higher when weight increased. A significantly higher level of monounsaturated fatty acids (MUFA) was found in the carcasses of wild boars from G3 compared with G1 group (P ≤ 0.01). The content of C18:2n-6 was significantly lower in the lightest carcasses compared with the heaviest (P ≤ 0.05). Statistical analysis confirmed that carcasses weight significantly affected polyunsaturated fatty acids (PUFA) n-3 content. The lightest carcasses contained a significantly higher concentration of PUFA n-3 (P ≤ 0.01). In addition, in G3, the amount of C22:5n-3 was two-fold lower (P ≤ 0.01) than in G1. The research has shown that the meat quality was affected by the carcass weight, resulting better parameters in the lighter than in the heavier carcasses. Therefore, most of the culled wild boars should be squeakers and young boars after the first year of life.


Author(s):  
J. Schachtschneider ◽  
C. Brenner

Abstract. The development of automated and autonomous vehicles requires highly accurate long-term maps of the environment. Urban areas contain a large number of dynamic objects which change over time. Since a permanent observation of the environment is impossible and there will always be a first time visit of an unknown or changed area, a map of an urban environment needs to model such dynamics.In this work, we use LiDAR point clouds from a large long term measurement campaign to investigate temporal changes. The data set was recorded along a 20 km route in Hannover, Germany with a Mobile Mapping System over a period of one year in bi-weekly measurements. The data set covers a variety of different urban objects and areas, weather conditions and seasons. Based on this data set, we show how scene and seasonal effects influence the measurement likelihood, and that multi-temporal maps lead to the best positioning results.


2006 ◽  
Vol 43 (2) ◽  
pp. 86-91 ◽  
Author(s):  
G. Mowlavi ◽  
J. Massoud ◽  
I. Mobedi ◽  
S. Solaymani-Mohammadi ◽  
M. Gharagozlou ◽  
...  

AbstractAn epidemiological and pathological study of Macracanthorhynchus hirudinaceus infection in a total of 50 wild boars Sus scrofa attila from cane sugar fields of Iranian Khuzestan was performed. The total prevalence of 64.0 % detected is the highest hitherto known by this acanthocephalan species in wild boars and may reflect a very high contamination of the farm lands studied as the consequence of the crowding of the wild boar population in cane sugar fields. Observations prove that this species is a wild boar gut wall perforating acanthocephalan. High burdens may become so pathogenic for the host individual as to be responsible for its elimination from the population. Thus, this acanthocephalan may play a role in the control of the S. scrofa population inhabiting cane sugar fields, only lowly infected boars being able to survive. In this way, M. hirudinaceus may be useful, as the wild boar is a serious pest of field corps and, moreover, causes a variety of damage to cane sugar fields because of using them for shelter and nesting areas. Such high prevalence in wild boars and presumably high contamination of cane sugar fields represent a human infection risk for farmers, as well as for concrete ethnic group minorities in Iran. The numerous M. hirudinaceus human infection cases reported so far, mainly in Asian countries, support such a risk situation.


2011 ◽  
Vol 58 (2) ◽  
pp. 385-402 ◽  
Author(s):  
Barbara Franzetti ◽  
Francesca Ronchi ◽  
Francesca Marini ◽  
Marianne Scacco ◽  
Roberta Calmanti ◽  
...  

Animals ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 3298
Author(s):  
Gianmarco Ferrara ◽  
Consiglia Longobardi ◽  
Filomena D’Ambrosi ◽  
Maria Grazia Amoroso ◽  
Nicola D’Alessio ◽  
...  

Aujeszky’s disease (AD, pseudorabies) is a viral disease of suids caused by Suid Herpesvirus 1 (SHV-1) also referred as Aujeszky’s disease virus (ADV) or Pseudorabies virus (ADV). Domestic pig and Wild boar (Sus scrofa) are the natural host, but many species can be infected with ADV. The aim of our study was to evaluate seroprevalence of AD in wild boar hunted in the Campania Region, during the 2016–2017 hunting season. A total of 503 serum samples from wild boars hunted in the provinces of Campania Region (Southern Italy) were collected and were tested for antibody against ADV using an AD, blocking ELISA assay. A Seroprevalence of 23.85% (120/503, 95% Confidence Interval (CI): 20.15–27.55) was found. Gender was not significantly associated with of ADV seropositivity (p > 0.05), while the presence of ADV antibodies was statistically associated with age (>36-month, p < 0.0001) and location (Avellino, p = 0.0161). Our prevalence values are like those obtained in 2010 in our laboratory (30.7%), demonstrating a constant circulation of ADV in the area.


Sensors ◽  
2021 ◽  
Vol 21 (24) ◽  
pp. 8215
Author(s):  
Małgorzata Dudzińska ◽  
Agnieszka Dawidowicz

The encroachment of wild boars into urban areas is a growing problem. The occurrence of wild boars in cities leads to conflict situations. Socio-spatial conflicts can escalate to a varied degree. Assessments of these conflicts can be performed by analyzing spatial data concerning the affected locations and wild boar behaviors. The collection of spatial data is a laborious and costly process that requires access to urban surveillance systems, in addition to regular analyses of intervention reports. A supporting method for assessing the risk of wild boar encroachment and socio-spatial conflict in cities was proposed in the present study. The developed approach relies on big data, namely, multimedia and descriptive data that are on social media. The proposed method was tested in the city of Olsztyn in Poland. The main aim of this study was to evaluate the applicability of data crowdsourced from a popular social networking site for determining the location and severity of conflicts. A photointerpretation method and the kernel density estimation (KDE) tool implemented in ArcGIS Desktop 10.7.1 software were applied in the study. The proposed approach fills a gap in the application of crowdsourcing data to identify types of socio-spatial conflicts involving wild boars in urban areas. Validation of the results with reports of calls to intervention services showed the high coverage of this approach and thus the usefulness of crowdsourcing data.


2005 ◽  
Vol 36 (1) ◽  
pp. 27-42 ◽  
Author(s):  
Sophie Rossi ◽  
Marc Artois ◽  
Dominique Pontier ◽  
Catherine Cruci�re ◽  
Jean Hars ◽  
...  

2021 ◽  
Vol 288 (1953) ◽  
pp. 20210874
Author(s):  
Donovan Anderson ◽  
Yuki Negishi ◽  
Hiroko Ishiniwa ◽  
Kei Okuda ◽  
Thomas G. Hinton ◽  
...  

Natural and anthropogenic disasters have the capability to cause sudden extrinsic environmental changes and long-lasting perturbations including invasive species, species expansion and influence evolution as selective pressures force adaption. Such disasters occurred on 11 March 2011, in Fukushima, Japan, when an earthquake, tsunami and meltdown of a nuclear power plant all drastically reformed anthropogenic land use. Using genetic data, we demonstrate how wild boar ( Sus scrofa leucomystax ) have persevered against these environmental changes, including an invasion of escaped domestic pigs ( Sus scrofa domesticus ). Concurrently, we show evidence of successful hybridization between pigs and native wild boar in this area; however in future offspring, the pig legacy has been diluted through time. We speculate that the range expansion dynamics inhibit long-term introgression and introgressed alleles will continue to decrease at each generation while only maternally inherited organelles will persist. Using the gene flow data among wild boar, we assume that offspring from hybrid lineages will continue dispersal north at low frequencies as climates warm. We conclude that future risks for wild boar in this area include intraspecies competition, revitalization of human-related disruptions and disease outbreaks.


BMC Ecology ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Franz Johann ◽  
Markus Handschuh ◽  
Peter Linderoth ◽  
Carsten F. Dormann ◽  
Janosch Arnold

Abstract Background Wild boars (Sus scrofa L.) are globally widely distributed, and their populations have increased in Europe during recent decades. Encounters between humans and wild boars are rare because of the predominantly nocturnal lifestyle of the latter, and wild boar management by hunting is a challenging task. Animal activity patterns are important for understanding the behaviour of a species. However, knowledge of detailed temporal patterns and an understanding of the drivers of wild boar activity at a fine temporal scale are lacking. Of special relevance for human–wild boar interactions (e.g., encounters, conflicts, and management) is the question of whether nocturnal activity depends on anthropogenic factors and, particularly, how local hunting regimes may affect activity patterns. We used GPS telemetry and acceleration measurements to shed light on this part of wild boar behaviour, observing 34 animals in Central Europe. Animals were tracked along a gradient of hunting pressure from hunting-free areas to areas with low or high hunting pressure. Fitted generalised additive models allowed predicting the probability of active behaviour under differing disturbance regimes precisely to day of year and time of day. Results The wild boars were predominantly nocturnal, with peak activity at approximately midnight. However, the data showed increased activity during daylight for wild boars that used no-hunting zones or reduced-hunting zones. Large areas with low disturbance levels promoted activity during daylight more than smaller areas with an intermediate disturbance regime. High air temperatures and locations within forests reduced the probability of active behaviour, whereas proximity to tracks used for forestry or agriculture was accompanied by a higher probability of activity. Conclusions We conclude that wild boars flexibly adjust their activity to their local environmental conditions, considering disturbances at the scale of long-term home ranges as well as actual small-scale landscape quality. Entire wild boar home ranges should be covered in the delineation of reserves intending to stimulate activity during daylight.


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