Resource Selection by Animals

Manly, Bryan F. J.; McDonald, Lyman L.; Thomas, Dana L.

doi:10.1007/978-94-011-1558-2

Cited by 1,000 publications

(976 citation statements)

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“…As such, after visual comparison with kernel-based methods, we determined that the 100% minimum convex polygon (MCP) was the appropriate method to delineate moose home ranges. According to the resource selection literature it is more correct to include unused areas than to exclude areas that are known to be used by moose (Porter and Church 1987;Manly et al 2002;Land et al 2008). Excluding areas known to be used by radio-collared individuals is problematic from a resource selection perspective (Porter and Church 1987;Manly et al 2002).…”

Section: Resultsmentioning

confidence: 99%

“…According to the resource selection literature it is more correct to include unused areas than to exclude areas that are known to be used by moose (Porter and Church 1987;Manly et al 2002;Land et al 2008). Excluding areas known to be used by radio-collared individuals is problematic from a resource selection perspective (Porter and Church 1987;Manly et al 2002). Thus, we generated 100% MCP seasonal home ranges (n=133) and a composite home range using all location data for moose monitored≥1 year (n=16) using the Animal Movement Analysis (Hooge and Eichenlaub 2000) for ArcView 3.3 (ESRI, Redlands, California) ( Table 1).…”

Section: Resultsmentioning

confidence: 99%

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Space and habitat use of moose in southwestern Sweden

et al. 2010

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Increasingly, wildlife managers and land managers are challenged to maintain the viability of large mammal populations. Although the moose (Alces alces) is an ecologically, economically, and culturally important ungulate species found throughout most of Sweden, little is known about its ecology throughout the southern part of the country. We collected baseline ecological data on spatial and habitat use patterns in urbanized southwestern Sweden by fitting 22 adult moose (13 F, nine M) with global positioning system (GPS) radio collars. Home range size of cows did not differ among seasons (P>0.10); however, bulls had larger home ranges during fall than all other seasons (P<0.010). Mean home range size of males during fall and spring was larger than females during any season (P<0.010). We used a Euclidean distance-based approach to analyze multi-scale habitat selection by moose. Moose of both sexes and during all seasons selected boreal forest and mires when establishing a home range (P<0.10). Moose had seasonal differences in habitat selection within their home range (P0.001), and generally selected clear-cuts and early successional forests, mature coniferous forests, and glades, but avoided agricultural areas and open water. Habitat and space use characteristics of moose in our urbanizing study area were similar to characteristics reported for moose in forest-dominated landscapes of Fennoscandia.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Space and habitat use of moose in southwestern Sweden

et al. 2010

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“…RSFs provide a tool to estimate animal preference for, or avoidance of, certain habitats and linear structures such as roads and power lines, at multiple scales (Johnson 1980;Manly et al 2002;Polfus et al 2011). We developed RSF-models with a use-availability design (Manly et al 2002) to evaluate whether the wind farm construction phase affected the reindeer habitat selection.…”

Section: Habitat Selectionmentioning

confidence: 99%

Wind farm construction impacts reindeer migration and movement corridors

et al. 2015

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Context Over the last decade, we have seen a massive increase in the construction of wind farms in northern Fennoscandia. Wind farms comprising hundreds of wind turbines are being built, with little knowledge of the possible cumulative adverse effects on the habitat use and migration of semi-domesticated free-ranging reindeer. Objectives We assessed how reindeer responded to wind farm construction in an already fragmented landscape, with specific reference to the effects on use of movement corridors and reindeer habitat selection. Methods We used GPS-data from reindeer during calving and post-calving in the Malå reindeer herding community in Sweden. We analysed data from the pre-development years compared to the construction years of two relatively small wind farms. Results During construction of the wind farms, use of original migration routes and movement corridors within 2 km of development declined by 76 %. This decline in use corresponded to an increase in activity of the reindeer measured by increased step lengths within 0-5 km. The step length was highest nearest the development and declining with distance, as animals moved towards migration corridors and turned around or were observed in holding patterns while not crossing. During construction, reindeer avoided the wind farms at both regional and landscape scale of selection. Conclusions The combined construction activities associated with even a few wind turbines combined with power lines and roads in or close to central movement corridors caused a reduction in the use of such corridors and grazing habitat and increased the fragmentation of the reindeer calving ranges.

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“…In many studies, animals are radiotracked or visually observed and the resulting locations are used to analyse habitat selection (Manly et al 2002). Hence, the variable of main interest is of categorical nature, representing the habitat type selected by an animal at a specific measurement time.…”

Section: Introductionmentioning

confidence: 99%

A general approach to the analysis of habitat selection

2009

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Investigating habitat selection of animals aims at the detection of preferred and avoided habitat types as well as at the identification of covariates influencing the choice of certain habitat types. The final goal of such analyses is an improvement of the conservation of animals. Usually, habitat selection by larger animals is assessed by radio-tracking or visual observation studies, where the chosen habitat is determined for a number of animals at a set of time points. Hence the resulting data often have the following structure: A categorical variable indicating the habitat type selected by an animal at a specific time point is repeatedly observed and shall be explained by covariates. These may either describe properties of the habitat types currently available and / or properties of the animal. In this paper, we present a general approach for the analysis of such data in a categorical regression setup. The proposed model generalises and improves upon several of the approaches previously discussed in the literature and in particular allows to account for changing habitat availability due to the movement of animals within the observation area. It incorporates both habitat-and animal-specific covariates, and includes individual-specific random effects in order to account for correlations introduced by the repeated mea-1 surements on single animals. The methodology is implemented in a freely available software package. We demonstrate the general applicability and the capabilities of the proposed approach in two case studies: The analysis of a songbird in SouthAmerica and a study on brown bears in Central Europe.

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Resource Selection by Animals

Cited by 1,000 publications

References 0 publications

Space and habitat use of moose in southwestern Sweden

Space and habitat use of moose in southwestern Sweden

Wind farm construction impacts reindeer migration and movement corridors

A general approach to the analysis of habitat selection

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