Wildlife roadkill mortality in the Upper Paraná Atlantic forest, Argentina

Bauni, Valeria; Anfuso, Jorge; Schivo, Facundo

doi:10.7818/ecos.2017.26-3.08

Cited by 13 publications

(13 citation statements)

References 28 publications

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“…Baudi et al (2017) found that roadkill increases within protected areas because they have greater species richness and abundance. This supports the models obtained in this study since, as mentioned above, Route 9 crosses several national and international conservation areas [31].…”

Section: Discussionsupporting

confidence: 91%

“…Sampling campaigns were carried out every two months during one year (from July 2015 to June 2016). Each road was travelled in both directions by vehicle at a speed of 60 km/h (37 miles/h) [31] where all roadkill were georeferenced and photographically recorded. Once the animal was registered, it was removed from the road so as not to be recorded again in subsequent trips.…”

Section: Collection Of Roadkill Datamentioning

confidence: 99%

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Prediction of Sites with a High Probability of Wild Mammal Roadkill Using a Favourability Function

2021

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Roads are one of the main causes of loss of biodiversity, with roadkill one of the main causes of mortality. The aim of this research was to identify sites with a high probability of roadkill of medium and large mammals, and the environmental variables that would explain it. We used the favourability function (F) to build the predictive models. There were 57 explanatory variables, and we collected 685 records of 10 species of medium and large native wild mammals from the ECOBIO Uruguay databases. They were grouped into native forest and grassland species, according to the main habitat. Two models were developed, one with all the variables and one with the anthropogenic variables. For both groups, the model obtained with all the variables was the most significant according to the evaluation indices used. This made it possible to identify the hot spots of roadkill (F > 0.6) for each of the groups. The anthropic variables were the ones that best explained these hot spots. This allowed the identification of sites where the probability of roadkill is high and requires a monitoring plan to implement mitigation measures in the future.

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Section: Discussionsupporting

confidence: 91%

Section: Collection Of Roadkill Datamentioning

confidence: 99%

Prediction of Sites with a High Probability of Wild Mammal Roadkill Using a Favourability Function

2021

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“…As other authors mentioned (Grilo et al 2020), the Iberian Peninsula has a high concentration of vulnerable bird species. The incidence percentage of protected species, including mammals, birds and reptiles were higher (20,7%) compared to other surveys where threatened species ranged from 4,3% (Abra et al 2021) to 16,9% in protected areas (Bauni et al 2017).…”

Section: Discussioncontrasting

confidence: 56%

Monitoring roadkill in Spain: a three years survey during pandemic times

Antón

2023

Preprint

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Road-killed animal surveys are scarce in Spain compared to other countries. Also, the majority of the published papers about this issue, comprehends data analysis from particular species or involve only motorways or highways. This paper presents the monitoring of a common road during three years, from 1st January 2020 to 31st December 2022 (both included), in order to evaluate wildlife loss by car hits. At the end of the survey, 53 individuals from 19 different species were found. The most affected groups were mammals with the 75% of car collisions and birds which obtained the 23% of total roadkills. Only one reptile was registered during the sampling. End of spring and summer were the seasons where wildlife was affected in high way, while autumn was the one with less fauna affection. The landscape across the road seems to influence on the biodiversity loss and according to conservation interests, most of the registered animals belongs to endangered or protected species, especially birds and reptiles. Also domestic animals like cats and dogs were directly affected by vehicle collisions. Annual results showed that roadkill data increased along the three years of survey, being 2020 the year with less incidences, probably due to the mobility restrictions established during the COVID-19 crisis.

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“…Si bien durante la noche, la carga vehicular en el área de estudio puede ser menor, es en este horario cuando la velocidad de circulación de autos ligeros y de tránsito pesado se incrementa. Aunado a ésto, la visibilidad limitada por la oscuridad y por la vegetación en los bordes de la carretera, incrementa la posibilidad de que félidos, cánidos y mirmecofágidos, entre otros mamíferos, sean arrollados cuando intentan cruzar de un lado a otro de la carretera para cubrir sus necesidades de alimento, reproducción y hábitat (Bauni et al, 2017).…”

Section: Discussionunclassified

Muertes por tráfico sobre la carretera costera del golfo de México: ¿cuántas y cuáles especies de fauna silvestre se están perdiendo?

et al. 2020

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Wildlife roadkill mortality in the Upper Paraná Atlantic forest, Argentina

Abstract: Artículo publicado en Open Access bajo los términos de Creative Commons attribution Non Comercial License 3.0. MONOGRÁFICO: Papel de los estudios comportamentales enEcología ecosistemas REVISTA CIENTÍFICA DE ECOLOGÍA Y MEDIO AMBIENTE

Cited by 13 publications

References 28 publications

Prediction of Sites with a High Probability of Wild Mammal Roadkill Using a Favourability Function

Prediction of Sites with a High Probability of Wild Mammal Roadkill Using a Favourability Function

Monitoring roadkill in Spain: a three years survey during pandemic times

Muertes por tráfico sobre la carretera costera del golfo de México: ¿cuántas y cuáles especies de fauna silvestre se están perdiendo?

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