Habitat selection by wolvesCanis lupus in the uplands and mountains of southern Poland

Jędrzejewski, Włodzimierz; Niedziałkowska, Magdalena; Mysłajek, Robert W.; Nowak, Sabina; Jędrzejewska, Bogumiła

doi:10.1007/bf03192636

Cited by 46 publications

(58 citation statements)

References 16 publications

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“…Several factors could nevertheless contribute to the observed divisions. First, analyses of habitat structure in and around wolf ranges conducted in southern and northern Poland (Jędrzejewski et al 2004(Jędrzejewski et al , 2005a showed very rapid deterioration of habitat connectivity immediately north of the Carpathians. In contrast, northeastern Poland provides better wolf habitat because the human density and network of transportation infrastructure is lower here than in southern Poland (Jędrzejewski et al 2004(Jędrzejewski et al , 2005a.…”

Section: Factors That Could Maintain Divisions Between Genetically DImentioning

confidence: 99%

“…First, analyses of habitat structure in and around wolf ranges conducted in southern and northern Poland (Jędrzejewski et al 2004(Jędrzejewski et al , 2005a showed very rapid deterioration of habitat connectivity immediately north of the Carpathians. In contrast, northeastern Poland provides better wolf habitat because the human density and network of transportation infrastructure is lower here than in southern Poland (Jędrzejewski et al 2004(Jędrzejewski et al , 2005a. In southern Poland, wolves occurred only in a narrow belt of \100 km, whereas in northern Poland stable wolf populations persist more than 200 km from the continuous wolf range (Jędrzejewski et al 2004(Jędrzejewski et al , 2005a.…”

Section: Factors That Could Maintain Divisions Between Genetically DImentioning

confidence: 99%

“…In contrast, northeastern Poland provides better wolf habitat because the human density and network of transportation infrastructure is lower here than in southern Poland (Jędrzejewski et al 2004(Jędrzejewski et al , 2005a. In southern Poland, wolves occurred only in a narrow belt of \100 km, whereas in northern Poland stable wolf populations persist more than 200 km from the continuous wolf range (Jędrzejewski et al 2004(Jędrzejewski et al , 2005a. Huck et al (2010Huck et al ( , 2011 analysed dispersal costs among patches of wolf habitat and modeled dispersal corridors in Poland, and found that dispersal from the Carpathians to any other patch would be much more costly than dispersal among other regions of the country.…”

Section: Factors That Could Maintain Divisions Between Genetically DImentioning

confidence: 99%

“…Western Poland has abundant wolf habitat, and the country could support two to three times its current population of approximately 650 wolves (as estimated by Jędrzejewski et al 2008Jędrzejewski et al , 2010. Wolves have recently recolonized parts of western Poland and eastern Germany, probably from northeastern Poland (Jędrzejewski et al 2004(Jędrzejewski et al , 2005aAnsorge et al 2006;Nowak et al 2011). Consequently, Poland represents a key area for understanding historic and contemporary patterns of wolf gene flow in central Europe.…”

Section: Introductionmentioning

confidence: 99%

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Concordant mitochondrial and microsatellite DNA structuring between Polish lowland and Carpathian Mountain wolves

et al. 2013

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Phylogeographic studies of highly mobile large carnivores suggest that intra-specific genetic differentiation of modern species might be the consequence of the most recent Pleistocene glaciation. However, the relative influence of biogeographical processes and subsequent humaninduced population fragmentation requires a better understanding. Poland represents the western edge of relatively continuous distributions of many wide-ranging species, e.g. lynx (Lynx lynx), wolves (Canis lupus), moose (Alces alces) and, therefore, a key area for understanding historic and contemporary patterns of gene flow in central Europe. We examined wolf genetic structure in Poland and in a recently recolonized area in eastern Germany using microsatellite profiles (n = 457) and mitochondrial DNA sequencing (mtDNA, n = 333) from faecal samples. We found significant genetic structure and high levels of differentiation between wolves in the Carpathian Mountains and the Polish lowlands. Our findings are consistent with previously reported mtDNA subdivision between northern lowlands and southern mountains, and add new and concordant findings based on autosomal marker variation. Wolves in western Poland and eastern Germany showed limited differentiation from northeastern Poland. Although the presence of private alleles suggests immigration also from areas not sampled in this study, most individuals seem to be immigrants from northeastern Poland or their descendants. We observed moderate genetic differentiation between certain northeastern lowland regions separated by less than 50 km. Moreover, mtDNA results indicated a southeastern subpopulation near the border with Ukraine. The observed structure might reflect landscape fragmentation and/orecological differences resulting in natal habitat-biased dispersal.

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Section: Factors That Could Maintain Divisions Between Genetically DImentioning

confidence: 99%

Section: Factors That Could Maintain Divisions Between Genetically DImentioning

confidence: 99%

Section: Factors That Could Maintain Divisions Between Genetically DImentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Concordant mitochondrial and microsatellite DNA structuring between Polish lowland and Carpathian Mountain wolves

et al. 2013

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“…The large number of red deer harvested annually in WPL (mean 10.6 indiv./10 km 2 in 1991) also indicates that densities of this potential wolf prey were high in this region (Pielowski et al, 1993 The density of public hard-surface roads which is considered as limiting the wolf presence is >0.6 km/km 2 (Thiel, 1985). This allows human access to wolf habitats and increases road mortality (Mech, 1988;Mech et al, 1989;Jędrzejewski et al, 2004Jędrzejewski et al, , 2005. Nevertheless, an analysis of variables connected with wolf distribution in Galicia (N Spain) revealed that wolves, when legally protected and with free access to safe refuges, can survive in areas with remarkably high densities of paved roads (up to 3.7 km/km 2 ) (Llaneza et al, 2012).…”

Section: Discussionmentioning

confidence: 99%

Response of the Wolf (Canis Lupus Linnaeus, 1758) Population to Various Management Regimes at the Edge of Its Distribution Range in Western Poland, 1951-2012

Nowak¹

2017

Appl Ecol Env Res

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Abstract. We investigated the number, distribution and human-caused mortality of wolves in western Poland during different management regimes. During intensive eradication at least 49 wolves were exterminated (on average 2.6 wolves per year), and the species was reported in up to 4 forests per year (mean 1.7), but most of the family groups bred only once before being killed. Under hunting management wolves were recorded in 1-4 forests per year (mean 3.1). Most of them did not breed or bred only once before they were harvested in the first year after detection. During this time period at least 70 individuals were harvested (on average 3.0 wolves per year). After the wolf became a protected species in 1998, the number of wolf groups increased to 30 in winter 2012/2013, while the number of forests inhabited by wolves increased to 14. Our study provides further confirmation that recreational hunting conducted in populations of wolves living far from a source of immigrants, in areas heavily altered by humans, where access by hunters to the most distant refuges is enabled by a dense network of forest roads, has a detrimental impact on wolf survival comparable to the effects of systematic eradication. We recommend that management plans for such subpopulations should be preceded by careful analysis of population viability and connectivity with source populations.

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Combining Bayesian genetic clustering and ecological niche modeling: Insights into wolf intraspecific genetic structure

Milanesi

Caniglia

Fabbri

et al. 2018

Ecology and Evolution

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The distribution of intraspecific genetic variation and how it relates to environmental factors is of increasing interest to researchers in macroecology and biogeography. Recent studies investigated the relationships between the environment and patterns of intraspecific genetic variation across species ranges but only few rigorously tested the relation between genetic groups and their ecological niches. We quantified the relationship of genetic differentiation (F ST) and the overlap of ecological niches (as measured by n‐dimensional hypervolumes) among genetic groups resulting from spatial Bayesian genetic clustering in the wolf (Canis lupus) in the Italian peninsula. Within the Italian wolf population, four genetic clusters were detected, and these clusters showed different ecological niches. Moreover, different wolf clusters were significantly related to differences in land cover and human disturbance features. Such differences in the ecological niches of genetic clusters should be interpreted in light of neutral processes that hinder movement, dispersal, and gene flow among the genetic clusters, in order to not prematurely assume any selective or adaptive processes. In the present study, we found that both the plasticity of wolves—a habitat generalist—to cope with different environmental conditions and the occurrence of barriers that limit gene flow lead to the formation of genetic intraspecific genetic clusters and their distinct ecological niches.

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Habitat selection by wolvesCanis lupus in the uplands and mountains of southern Poland

Cited by 46 publications

References 16 publications

Concordant mitochondrial and microsatellite DNA structuring between Polish lowland and Carpathian Mountain wolves

Concordant mitochondrial and microsatellite DNA structuring between Polish lowland and Carpathian Mountain wolves

Response of the Wolf (Canis Lupus Linnaeus, 1758) Population to Various Management Regimes at the Edge of Its Distribution Range in Western Poland, 1951-2012

Combining Bayesian genetic clustering and ecological niche modeling: Insights into wolf intraspecific genetic structure

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