Ecological Modelling, Journal Year: 2024, Volume and Issue: 501, P. 110991 - 110991
Published: Dec. 17, 2024
Language: Английский
Ecological Modelling, Journal Year: 2025, Volume and Issue: 501, P. 111012 - 111012
Published: Jan. 9, 2025
Language: Английский
Citations
1
Ecological Modelling, Journal Year: 2024, Volume and Issue: 490, P. 110663 - 110663
Published: Feb. 29, 2024
Species distribution modeling is widely used to quantify and predict species-environment relationships. Most past applications methods in species assume context independent stationary relationships between patterns of occurrence environmental variables. There has been relatively little research investigating dependence nonstationarity modeling. In this paper we explore spatially varying limiting factors using high resolution telemetry data from 14 individual wildcat hybrids distributed across geographical gradients Scotland. (1) We proposed that nonstationary would be indicated by significant association statistical measures variability predictors the predictive importance those (2) further most factor observed related spatial variation a lesser amount mean value variables within study sites. (3) Additionally, anticipated when there was relationship an its as predictor positive, such higher associated with variable (following theory factors). (4) Conversely, roughly evenly split positive negative relationships, given could become either they are highly abundant or value, rare low particular landscape, depending on nature for ecological variable. (5) Finally, hypothesized frequency supported differ among groups, were directly key resources more likely than have indirect impacts hybrid habitat selection foraging. Our results show assumptions global, associations not met many models, requiring explicit consideration scale paradigm. found both standard deviation strong whether will differentially important occurrence. confirmed it sampled data, abundant. The differed essential ecology
Language: Английский
Citations
7
Biological Conservation, Journal Year: 2025, Volume and Issue: 302, P. 110977 - 110977
Published: Jan. 14, 2025
Language: Английский
Citations
0
Diversity, Journal Year: 2025, Volume and Issue: 17(2), P. 115 - 115
Published: Feb. 5, 2025
In human-dominated landscapes, human activities shape prey spatial behavior, creating complex landscapes of risks. We investigated habitat selection roe deer using resource functions in a mountain system located the southwestern Alps, characterized by high presence wolves and disturbance. Our study aimed to assess how interplay hunting, infrastructures, recreational influenced responses inside outside protected area. documented that during hunting period, increased high-wolf-density areas, with strongest effect observed wild boar drive hunts, supporting risk enhancement hypothesis, where avoiding one predator increases exposure another, highlighting temporary yet significant impact on predator–prey dynamics. During period hunt, also showed stronger for proximity buildings, shield hypothesis. Protected areas had an avoidance trails, hiking are more concentrated. findings revealed trade-offs face navigating multiple risks within human-modified important development effective conservation sustainability strategies.
Language: Английский
Citations
0
European Journal of Wildlife Research, Journal Year: 2025, Volume and Issue: 71(2)
Published: Feb. 28, 2025
Language: Английский
Citations
0
Ecology and Evolution, Journal Year: 2025, Volume and Issue: 15(4)
Published: April 1, 2025
ABSTRACT Species distributions in forest‐dominated landscapes are closely tied to vegetation structure and heterogeneity, which can vary across spatial scales. As Fennoscandian wolverines recolonize their historical range boreal forests, specific structural features linked better resources, such as prey availability, cover, suitable denning habitats, may promote occupancy these areas. We studied wolverine ( Gulo gulo ) occurrence mainland Finland between 2009–2010 2018–2022. conducted a multi‐scale analysis using wildlife field triangle data Multi‐Source National Forest Inventory (MS‐NFI) remote sensing products. applied generalized linear mixed models (GLMMs) assess the influence of forest landscape variables on probability at two scales: local (3.13 km radius) (20 radius). Occupied unoccupied sites were distinguished by fragmentation, tree volume, species composition, distance clearcuts. Sites more likely become occupied when forests less fragmented had broadleaved trees, while decreased if total volume trees was high or fresh clearcuts close proximity. Landscape scale seems be relevant than studying overall structure's impact occurrence. Our findings provide new insights into Finnish could used aid conservation management planning.
Language: Английский
Citations
0
Communications Earth & Environment, Journal Year: 2025, Volume and Issue: 6(1)
Published: April 16, 2025
Language: Английский
Citations
0
Wildlife Biology, Journal Year: 2024, Volume and Issue: 2024(6)
Published: July 24, 2024
We assessed the diet composition of wolves inhabiting Notecka Forest (ca 1400 km 2 ) in western Poland based on analysis scats (n = 261) collected 2008–2021. The study revealed that this large forest tract, consisting mainly pine monocultures, consumed primarily wild ungulates (95.2% biomass). roe deer was essential food item (47.8%), followed by red Cervus elaphus (25.1%) and boar Sus scrofa (18.4%). Wolves supplemented their with medium‐sized mammals, European hare Lepus europaeus (2.8%) Eurasian beaver Castor fiber (1.9%). niche narrow ( B 1.1), there no difference between spring–summer autumn–winter seasons. emphasize significance smallest ruminant, deer, Central Plains.
Language: Английский
Citations
2
Wildlife Biology, Journal Year: 2024, Volume and Issue: 2024(6)
Published: Oct. 28, 2024
Demographic parameters are key to understanding population dynamics. Here, we analyse the survival and reproduction of German wolf in 20 years following recolonization. Specifically, analysed effects environmental, ecological individual characteristics on 1) probability population; 2) annual rates age classes; 3) probability; 4) reproductive output, measured as number detected pups/juveniles. Using Cox proportional hazards model, estimated a median time circa three for wolves. Annual probabilities were found be 0.75 juveniles, subadults 0.88 adults. Survival was lower juveniles winter subadult males summer, probably associated with dispersal events. Low habitat suitability clearly subadults, but not Local territory density related increased survival. Reproduction within 0.88, explanatory variables had no effect. Reproductive output four pups/juveniles average, positively female experience, negatively density. values very high species when compared other regions. We hypothesize that carrying capacity has been reached study area, thus may decrease future if landscape becomes saturated. Furthermore, our results highlight spatial pattern reproduction, area better favouring faster growth. Thus, targeting conservation measures low areas will have strong effect short term by boosting individuals, while long‐term viability should carefully planned mind, those contain territories higher potential.
Language: Английский
Citations
1
Published: Jan. 1, 2024
Multiple packs of wolfs have settled recently in the Netherlands. Question is how large potential distribution area can be near future and what corresponding population number is. This report answers these questions based on a data driven model which assess habitat suitability.
Language: Английский
Citations
0