A5041799983- Wildlife Ecology and Conservation
- Animal Ecology and Behavior Studies
- Census and Population Estimation
- Rangeland and Wildlife Management
- Species Distribution and Climate Change
- Ecology and biodiversity studies
- Animal Behavior and Welfare Studies
- Wildlife-Road Interactions and Conservation
- Ecology and Vegetation Dynamics Studies
- Forest Ecology and Biodiversity Studies
- Avian ecology and behavior
- Isotope Analysis in Ecology
- Indigenous Studies and Ecology
- Genetic and phenotypic traits in livestock
- Fish Ecology and Management Studies
- Primate Behavior and Ecology
- Data-Driven Disease Surveillance
- Economic and Environmental Valuation
- Animal Behavior and Reproduction
- Survey Sampling and Estimation Techniques
- European history and politics
- Zoonotic diseases and public health
- Rangeland Management and Livestock Ecology
- Genetic diversity and population structure
- Remote Sensing and LiDAR Applications
Norwegian University of Life Sciences
2018-2025
Centre d'Écologie Fonctionnelle et Évolutive
2025
University of Inland Norway
2017-2023
Nord University
2023
Office National de la Chasse et de la Faune Sauvage
2016
Swedish University of Agricultural Sciences
2014
Wildlife populations are not static. Intrinsic and extrinsic factors affect individuals, which lead to spatiotemporal variation in population density range. Yet, dynamics their drivers rarely documented, due part the inherent difficulty of studying long-term population-level phenomena at ecologically meaningful scales. We studied a recolonizing large carnivore population, wolverine Gulo gulo , across Scandinavian Peninsula over nine years. fitted open-population spatial capture-recapture...
Significance We are experiencing the accelerated loss and reconfiguration of biological diversity. Meanwhile, those charged with natural resource management struggling to meet challenges monitoring managing wildlife populations across vast areas crisscrossed by political borders. What if, akin weather maps, we could track forecast dynamics space time? Using world’s most extensive large carnivore program, showcase application an effective tool for spatially explicit quantification population...
Trophic interactions are a fundamental topic in ecology, but we know little about how competition between apex predators affects predation, the mechanism driving top-down forcing ecosystems. We used long-term datasets from Scandinavia (Europe) and Yellowstone National Park (North America) to evaluate grey wolf (
Interspecific competition can influence the distribution and abundance of species structure ecological communities entire ecosystems. Interactions between apex predators have cascading effects through natural community, which supports broadening scope conservation from single to a much wider ecosystem perspective. However, wild large carnivores hardly be measured experimentally. In this study, we analyzed expansion Scandinavian wolf ( Canis lupus ) population during its recovery early 1990s....
Anthropogenic hybridisation is widely perceived as a threat to the conservation of biodiversity. Nevertheless, date, relevant policy and management interventions are unresolved highly convoluted. While this due inherent complexity issue, we hereby hypothesise that lack agreement concerning goals approaches, within scientific community, may explain social awareness on phenomenon, absence effective pressure decision-makers. By focusing wolf x dog in Europe, (a) assess state art issues (b)...
Abstract Identifying how sympatric species belonging to the same guild coexist is a major question of community ecology and conservation. Habitat segregation between two might help reduce effects interspecific competition apex predators are special interest in this context, because their interactions can have consequences for lower trophic levels. However, habitat large carnivores has seldom been studied. Based on monitoring 53 brown bears ( Ursus arctos ) seven adult gray wolves Canis lupus...
Natal dispersal is an important mechanism for the viability of populations. The influence local conditions or experience gained in natal habitat could improve fitness if dispersing individuals settle area with similar characteristics. This process, defined as 'natal habitat-biased dispersal' (NHBD), has been used to explain distribution patterns large carnivores, but actual studies evaluating it are rare. We tested whether grey wolf Canis lupus territory establishment was influenced by...
Many models in population ecology, including spatial capture–recapture (SCR) models, assume that individuals are distributed and detected independently of one another. In reality, this is rarely the case – both antagonistic gregarious relationships lead to non-independent configurations, with territorial exclusion at end spectrum group-living other. Previous simulation studies suggest grouping has limited impact on outcome SCR analyses. However, group associations entail not only clustering...
The recovery of large carnivores in human-dominated landscapes comes with challenges. In general, avoid humans and their activities, human avoidance favors coexistence, but individual variation carnivore behavior may occur. detection individuals close to settlements or roads can trigger fear local communities turn demand management actions. Understanding the sources towards features is relevant timely for ecology conservation. We studied movement 52 adult established wolves ((Canis lupus),...
Abstract Habitat selection of animals depends on factors such as food availability, landscape features, and intra- interspecific interactions. Individuals can show several behavioral responses to reduce competition for habitat, yet the mechanisms that drive them are poorly understood. This is particularly true large carnivores, whose fine-scale monitoring logistically complex expensive. In Scandinavia, home-range establishment kill rates gray wolves ( Canis lupus ) affected by coexistence...
Abstract Spatial capture–recapture (SCR) is an increasingly popular method for estimating ecological parameters. SCR often relies on data collected over relatively long sampling periods. While longer periods can yield larger sample sizes and thus increase the precision of estimates, they also risk violating closure assumption, thereby potentially introducing bias. The period characteristics are therefore likely to play important role in this bias‐precision trade‐off. Yet few studies have...
Abstract Capture–recapture methods are a common tool in ecological statistics, which have been extended to spatial capture–recapture models for data accompanied by location information. However, standard formulations of these can be unwieldy and computationally intractable large scales, many individuals, and/or activity center movement. We provide cumulative series that yield dramatic improvements Markov chain Monte Carlo (MCMC) estimation two examples. These include removing unnecessary...
Abstract The wolf ( Canis lupus ) is among the most controversial of wildlife species. Abundance estimates are required to inform public debate and policy decisions, but obtaining them at biologically relevant scales challenging. We developed a system for comprehensive population estimation across Italian alpine region (100,000 km 2 ), involving 1513 trained operators representing 160 institutions. This extensive network allowed coordinated genetic sample collection landscape‐level spatial...
For socially monogamous species, breeder bond dissolution has important consequences for population dynamics, but the extent to which extrinsic or intrinsic factors causes pair remain poorly understood, especially among carnivores. Using an extensive life-history data set, a survival analysis and competing risks framework, we examined fate of 153 different wolf (Canis lupus) pairs in recolonizing Scandinavian population, during 14 winters snow tracking DNA monitoring. Wolf was generally...
Abstract Context Spatial capture-recapture (SCR) models are increasingly popular for analyzing wildlife monitoring data. SCR can account spatial heterogeneity in detection that arises from individual space use (detection kernel), variation the sampling process, and distribution of individuals (density). However, unexplained unmodeled detectability may remain due to cryptic factors, both intrinsic extrinsic study system. This is case, example, when covariates coding variable effort...
Abstract Spatial capture–recapture ( SCR ) models are commonly used for analysing data collected using noninvasive genetic sampling NGS ). Opportunistic often leads to detections that do not occur at discrete detector locations. Therefore, spatial aggregation of individual into fixed detectors (e.g., centre grid cells) is an option increase computing speed analyses. However, it may reduce precision and accuracy parameter estimations. Using simulations, we explored the impact has on a...
Abstract There is a need to quantify and better understand how wildlife interact with linear features, as these are integral elements of most landscapes. One potentially important aspect feature tracking (LFT), yet studies rarely succeed in directly revealing or quantifying this behavior. In proof-of-concept study, we employed short-term intensive GPS monitoring red foxes ( Vulpes vulpe s) multiple-use landscape southern Norway. Using periodic bursts high frequency position fixes, performed...
Abstract In the face of dramatic worldwide decline farmland bird populations, preservation fallow fields is a conservation measure encouraged through subsidies (e.g. agri‐environmental schemes, AES). Beyond general benefits increasing availability for endangered steppe there lack knowledge on how management can contribute to meeting species‐specific habitat requirements. We used occurrence data from three species protected at EU level (Stone Curlew Burhinus oedicnemus , Little Bustard Tetrax...
Several large carnivore populations are recovering former ranges, and it is important to understand interspecific interactions between overlapping species. In Scandinavia, recent research has reported that brown bear presence influences gray wolf habitat selection kill rates. Here, we characterized the temporal use of a common prey resource by sympatric wolves bears described individual seasonal variation in their direct and/or indirect interactions. Most bear–wolf were indirect, via...
Abstract Spatial capture–recapture (SCR) models have emerged as a robust method to estimate the population density of mobile animals. However, model evaluation has generally been based on data simulated from simplified representations animal space use. Here, we generated movement mechanistic individual‐based model, in which emerges individual's response changing environment (i.e., bottom‐up), driven by key ecological processes (e.g., resource memory and territoriality). We drew individual...
Abstract Spatial capture–recapture models (SCR) are used to estimate animal density and investigate a range of problems in spatial ecology that cannot be addressed with traditional nonspatial methods. Bayesian approaches particular offer tremendous flexibility for SCR modeling. Increasingly, data being collected over very large extents making analysis computational intensive, sometimes prohibitively so. To mitigate the burden large‐scale models, we developed an improved formulation model...
Abstract Spatial capture–recapture (SCR) is now routinely used for estimating abundance and density of wildlife populations. A standard SCR model includes sub‐models the distribution individual activity centers (ACs) detections conditional on locations these ACs. Both can be expressed as point processes taking place in continuous space, but there a lack accessible efficient tools to fit such models Bayesian paradigm. Here, we describe set custom functions distributions achieve this. Our work...