Using traffic data to estimate wildlife populations

Gren, Ing‐Marie; Svensson, Tobias; Andersson, Hans; Jansson, Gunnar; Jägerbrand, Annika K.

doi:10.1007/s10818-015-9209-0

Cited by 15 publications

(6 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Quantifying hunting harvest is essential for numerous ecological topics, including population estimation 15 , management 1 , and predator–prey interactions 16 , necessitating reliable estimates. We here introduced a novel framework that provides both system specific and general insight.…”

Section: Discussionmentioning

confidence: 99%

Estimating hunting harvest from partial reporting: a Bayesian approach

Lindström

Bergqvist

2020

Sci Rep

View full text Add to dashboard Cite

Quantifying hunting harvest is essential for numerous ecological topics, necessitating reliable estimates. We here propose novel analytical tools for this purpose. Using a hierarchical Bayesian framework, we introduce models for hunting reports that accounts for different structures of the data. Focusing on Swedish harvest reports of red fox (Vulpes vulpes), wild boar (Sus scrofa), European pine marten (Martes martes), and Eurasian beaver (Castor fiber), we evaluated predictive performance through training and validation sets as well as Leave One Out Cross Validation. The analyses revealed that to provide reliable harvest estimates, analyses must account for both random variability among hunting teams and the effect of hunting area per team on the harvest rate. Disregarding the former underestimated the uncertainty, especially at finer spatial resolutions (county and hunting management precincts). Disregarding the latter imposed a bias that overestimated total harvest. We also found support for association between average harvest rate and variability, yet the direction of the association varied among species. However, this feature proved less important for predictive purposes. Importantly, the hierarchical Bayesian framework improved previously used point estimates by reducing sensitivity to low reporting and presenting inherent uncertainties.

show abstract

Section: Discussionmentioning

confidence: 99%

Estimating hunting harvest from partial reporting: a Bayesian approach

Lindström

Bergqvist

2020

Sci Rep

View full text Add to dashboard Cite

show abstract

“…In some Mediterranean regions, wild boars are responsible for up to 85% of all traffic accidents involving wildlife. In northern and central Europe, wild boars make up a smaller portion of the total accidents, although a sharp increase in vehicle collisions has been observed in some countries, such as Sweden, where these accidents increased by 250% between 2003 and 2011 (Gren et al, 2016). Wild boar-vehicle collisions show marked temporal patterns with higher frequencies from October to January, coinciding with the main rut period of wild boar and the hunting season (Langbein et al, 2011).…”

Section: Traffic Accidentsmentioning

confidence: 99%

5. Methods for African swine fever diagnosis in clinical and environmental samples

Jori¹,

Massei²,

Licoppe³

et al. 2021

Understanding and Combatting African Swine Fever

View full text Add to dashboard Cite

In recent decades, wild boar populations have been increasing worldwide due to several potential causes, including human-induced and natural environmental changes and biological and ecological factors. In Europe, this phenomenon has several economic, social and environmental implications such as the increase of agricultural and forest damage, road traffic accidents and potential ecological impact on animal and plant biodiversity. In addition, wild boar population growth and expansion can contribute to the maintenance and dissemination of infectious pathogens affecting animal and human health. In this context, the emergence of African swine fever (ASF) in Europe has become a serious challenge for animal disease control. The high susceptibility of wild boar to ASF infections and the capacity of the virus to remain infective in wild boar carcasses require a combination of wildlife management and veterinary strategies in order to eradicate this virus from EU forests. The goal of this chapter is to provide a thorough overview of those efforts. After illustrating the current situation of wild boar populations in Europe, the chapter describes the different methods applied by wildlife managers in the absence of ASF. Subsequently, the chapter reviews different approaches and tools applied in the context of ASF control, with a particular focus on the strategies implemented by countries that were successful in their eradication, such as Belgium and the Czech Republic. The last section of the chapter highlights areas that require future research to improve ASF management in natural wild boar populations, which remains a serious challenge for the large majority of countries in the EU.

show abstract

“…Much of the early literature on estimation of fish population growth rates assumes that the change in the total stock over a given period depends solely on the natural growth and total harvest (Schaefer, 1954;Kataria, 2007). Later studies also consider habitat quality characteristics, such as weather conditions and landscape elements, as applied, e.g., to mammal populations (e.g., Gren et al, 2016).…”

Section: Derivation Of Regression Equationsmentioning

confidence: 99%

Habitat quality and fish populations: impacts of nutrient enrichment on the value of European perch off the east coast of Sweden

Tirkaso

Gren

2017

Environmental Economics

Self Cite

View full text Add to dashboard Cite

Degradation of marine ecosystems through, e.g., eutrophication and climate change is a concern for sustainable fishery management worldwide, but studies on associated impacts on fish populations are rare. This study examines the effects of eutrophying nutrient loads on the economic value of perch populations along the Swedish east coast by estimating the effects of nutrient loads on the population of perch and, then, simulates the harvest value of future perch population under the changes in nutrient loads. A modified Gordon-Schaefer logistic growth model was used for econometric estimation of perch populations based on annual time series data for the period of 1970-2014. Regression analysis using the fully modified ordinary least square (FMOLS) estimator revealed that phosphorus loads had significant effects on the perch population. A 40% decrease in phosphorus loads, as suggested by the international HELCOM agreement, could increase the steady state perch population by 50%. Simple calculations showed that this could increase the total discounted recreational and commercial harvest value of the perch by 30% over a 30 year period.

show abstract

Using traffic data to estimate wildlife populations

Cited by 15 publications

References 18 publications

Estimating hunting harvest from partial reporting: a Bayesian approach

Estimating hunting harvest from partial reporting: a Bayesian approach

5. Methods for African swine fever diagnosis in clinical and environmental samples

Habitat quality and fish populations: impacts of nutrient enrichment on the value of European perch off the east coast of Sweden

Contact Info

Product

Resources

About