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Knowledge about the impact of human activity on the behavior of wolves (Canis lupus) is important to predict habitats suitable for wolf recolonization and for planning management zones. We tested the hypothesis that wolves live spatiotemporally segregated from humans. From 1994 to 1999, we radiotracked 11 wolves in 4 packs and monitored human activity in the Bial / owiez. a Forest, Poland. Wolves avoided permanent human-made structures (settlements, forest edge to arable land, roads, tourist trails) more in the day than at night. Wolf avoidance increased with increasing human use. Particularly large settlements and intensively used public roads reduced the area used by wolves. Wolves avoided human presence in the forest (traffic, forestry operations) by temporarily selecting areas where people were absent. One of the wolf packs selected a national park zone with restriced access (50 km 2) as the core area of its home range in both day and night. Conversely, wolf packs living in a commercial forest with small nature reserves (≤4 km 2) did not select reserves in the day or night. We concluded that spatiotemporal segregation is an adaptation of wolves to coexist with humans while keeping their activity pattern optimized toward food acquisition. The distribution of areas with restricted human access, forest, settlements, and intensively used public roads are important factors determining the suitability of an area for wolves.

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As wolves (Canis lupus) recover in Poland, their depredation on domestic animals is increasing, as have conflicts between wolves and farmers. From 1998 to 2004, I investigated spatial and temporal patterns of 591 verified incidents of wolf depredation in the eastern part of the Polish Carpathian Mountains. The wolf population I surveyed covered an estimated range of 4,993 km2. Depredation occurred over 1,595 km2 of that area. Sheep accounted for 84.8% of domestic animals killed by wolves. Depredation on sheep and number of sheep farms attacked by wolves increased between 1998 and 2004 (r2 = 0.61, P = 0.04 and r2 = 0.89, P = 0.02, respectively). The number of wolf attacks on sheep farms in a given year were negatively correlated to red deer (Cervus elaphus) population numbers (R2 = 0.69, P = 0.02). The amount of depredation caused by each of the 4 monitored packs was best explained by farm density in their territories (R2 = 0.59, P = 0.004). Number of attacks recorded on farms was positively correlated to distance from the farm to the pack's den and rendezvous sites (R2 = 0.16, P = 0.04). Of depredation recorded in the 4 pack's territories I surveyed, 77% occurred in 4 farms with no or inadequate protection. I concluded that wolf depredation in the studied area is opportunistic. Wolf predation intensity is a function of decreasing abundance of red deer, the density of sheep farms, and proximity of farms to the summer activity centers of wolf packs, and it is facilitated by poor husbandry practices. These results can aid in preventing wolf depredation and provide a foundation for a wolf management plan.

Virulence of avian brood parasites can trigger a coevolutionary arms race, which favours rejection of parasitic eggs or chicks by host parents, and in turn leads to mimicry in parasite eggs or chicks [1-7]. The appearance of host offspring is critical to enable host parents to detect parasites. Thus, increasing accuracy of parasites' mimicry can favour a newly emerged host morph to escape parasites' mimicry. If parasites catch up with the hosts with a newly acquired mimetic morph, host polymorphism should be maintained through apostatic (negative frequency-dependent) selection, which favours hosts rarer morphs [1-3,7]. Among population-wide polymorphism, uniformity of respective host morphs in single host nests stochastically prevents parasites from targeting any specific morph of hosts and thus helps parents detect parasitism. Polymorphism in such a state is well-known in egg appearances of hosts of brood parasitic birds [2,3,7], which might also occur in chick appearances when arms races escalate. Here, we present evidence of polymorphism in chick skin coloration in a cuckoo-host system: the fan-tailed gerygone Gerygone flavolateralis and its specialist brood parasite, the shining bronze-cuckoo Chalcites lucidus in New Caledonia (Figure 1A-C).

Sex, age, bone marrow fat (BMF) content, degree of carcass utilisation and terrain features were analysed for 118 ungulates killed by wolves Canis lupus in the Bieszczady Mountains, Poland, during the winters of 1992–1995 to assess the influence of snow depth on the wolves' predation patterns. In Bieszczady, the snow conditions during the study period were milder than average, with an average total annual snow depth of 1,372 cm and an average snow cover lasting for 94 days. Red deer Cervus elaphus were the primary wolf prey (81%), whereas wild boar Sus scrofa and roe deer Capreolus capreolus were killed less often (9% and 10%, respectively). The majority of prey (74%) was killed in creeks and ravines. The carcass exploitation by wolves was high; of the recovered prey, 55% was more than 60% consumed. The average condition of red deer, as based on BMF, was high (83.4%). BMF varied most among red deer stags and calves, and varied with annual snow depth (N = 29, P < 0.0 1; N = 28, P = 0.09) and monthly mean snow depth (τ = ‐0.37, P < 0.005; τ = ‐0.25, P = 0.06). Wolves killed adult red deer in creeks and ravines with the same frequency regardless of snow depth, whereas calves were killed less often in these places than should be expected from their overall proportion in the sample (N = 95, χ2 = 24.34, P < 0.001). During periods with thinner snow cover, consumption of red deer carcasses was slightly higher than during periods in which the snow cover was deep (τ = ‐0.42, P < 0.045).

Individual studies in wildlife science are indicative rather than conclusive. Although multiple studies can be meta-analyzed in such a way that scientific hypotheses can be tested, robust meta-analyses are often difficult or impossible if variables of interest are not measured in a uniform manner. We hypothesized that measurements, even of basic and unequivocal variables, are rarely standardized in wildlife sciences. We tested this assumption by reviewing randomly selected papers that describe the home range of mammals (n=25) and birds (n=25). In these papers, home ranges were calculated using 11 methods and 8 computer programs. The number of radiolocations used to calculate home ranges varied from 9 to >2,000. By estimating home ranges for two radiotelemetry data sets, we demonstrate that home ranges are not comparable if different methods are used and that estimates of home range are not standardized. We assume that measurements of other biological variables are even less consistent across studies. In order to advance wildlife sciences, we believe that standardization initiatives are required at an international level.

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