Erste Internationale ‘Resource Selection Function’ Konferenz vom 13.–15. Januar 2003 in Laramie, University of Wyoming

2003 ◽  
Vol 49 (1) ◽  
pp. 84-85
Author(s):  
F. Huettmann
Keyword(s):  
Resource Selection ◽  
University Of Wyoming ◽  
Resource Selection Function ◽  
Selection Function

scholarly journals Estimating a resource selection function with line transect sampling

2002 ◽  
Vol 6 (4) ◽  
pp. 213-228 ◽  
Author(s):  
Bryan F. J. Manly
Keyword(s):  
Resource Selection ◽  
Probability Function ◽  
Resource Selection Function ◽  
Line Transect ◽  
Selection Function ◽  
Line Transect Sampling ◽  
Selection Probability ◽  
Transect Sampling ◽  
Conditional Maximum ◽  
Habitat Variables

A resource selection probability function is a function that gives the prob- ability that a resource unit (e.g., a plot of land) that is described by a set of habitat variables X1 to Xp will be used by an animal or group of animals in a certain period of time. The estimation of a resource selection function is usually based on the comparison of a sample of resource units used by an animal with a sample of the resource units that were available for use, with both samples being assumed to be effectively randomly selected from the relevant populations. In this paper the possibility of using a modified sampling scheme is examined, with the used units obtained by line transect sampling. A logistic regression type of model is proposed, with estimation by conditional maximum likelihood. A simulation study indicates that the proposed method should be useful in practice.

Foraging patterns of pileated woodpeckers in a managed Acadian forest: a resource selection function

2005 ◽  
Vol 35 (10) ◽  
pp. 2387-2393 ◽  
Author(s):  
Jérôme Lemaître ◽  
Marc-André Villard
Keyword(s):  
Resource Selection ◽  
Keystone Species ◽  
Fagus Grandifolia ◽  
Resource Selection Function ◽  
Selection Function ◽  
Managed Forest ◽  
Carpenter Ants ◽  
Resampling Procedure ◽  
Intensively Managed ◽  
Pileated Woodpeckers

We analyzed the relative influence of foraging substrate characteristics as predictors of the probability of use by the pileated woodpecker (Dryocopus pileatus L.) and determined threshold values for significant predictors. We sampled used and available substrates around 126 stations distributed in an intensively managed forest in northwestern New Brunswick, Canada. We developed a resource selection function (RSF), validated by a resampling procedure, and compared selection ratios for significant predictors. Diameter at breast height (DBH) of trees and snags was the most significant predictor, probably reflecting nesting selection by its main prey, carpenter ants (Camponotus spp.). The pileated woodpecker preferred deciduous substrates with DBH >35 cm and coniferous substrates with DBH >30 cm. Among deciduous substrates, it preferred snags over living trees, but there was no such preference for coniferous substrates. American beech (Fagus grandifolia Ehrh.) was clearly preferred over all other species. The RSF we developed and the thresholds we obtained should help forest managers and conservation planners assess habitat quality for this keystone species.

scholarly journals Multi-trophic resource selection function enlightens the behavioural game between wolves and their prey

2013 ◽  
Vol 82 (5) ◽  
pp. 1062-1071 ◽  
Author(s):  
Nicolas Courbin ◽  
Daniel Fortin ◽  
Christian Dussault ◽  
Viviane Fargeot ◽  
Réhaume Courtois
Keyword(s):  
Resource Selection ◽  
Resource Selection Function ◽  
Selection Function ◽  
Trophic Resource

scholarly journals Using decades of spawning data and hydraulic models to construct a temperature dependent resource selection function for management of an endangered salmonid

2021 ◽  
Author(s):  
Peter N Dudley ◽  
Sara N John ◽  
Miles E Daniels ◽  
Eric M. Danner
Keyword(s):  
Water Temperature ◽  
Environmental Variables ◽  
Resource Selection ◽  
Oncorhynchus Tshawytscha ◽  
Linear Models ◽  
Low Cost ◽  
Hydraulic Modeling ◽  
Selection Function ◽  
Spawning Habitat ◽  
Increasing Temperature

In North America, impassable, man-made barriers block access to salmonid spawning habitat and require costly restoration efforts in the remaining habitats. Evaluating restored spawning habitat quality requires information on salmon water velocity and depth preferences, which may vary in relation to other variables (e.g. water temperature). We demonstrate a generalizable, low cost method to gather and analyze this data by combining aerial redd surveys of winter-run Chinook salmon (Oncorhynchus tshawytscha), 2D hydraulic modeling, and generalized linear models to calculate spawning resource selection functions (RSFs). Our method permits the examination of interactions between environmental variables on habitat selection, which are frequently treated as independent. Our methods resulted in a RSF that shows interactions between both velocity and depth preference with changing temperature. Preferred depth increased and preferred velocity decreased with increasing temperature. Spawning RSFs for environmental variables may change as other environmental conditions (i.e. water temperature) change, thus it is importance to account for potential interactions when using or producing RSFs.

Landscape context matters when American Woodcock select singing grounds: Results from a reciprocal transplant experiment

The Condor ◽  
2019 ◽  
Vol 121 (1) ◽  
Author(s):  
Stephen J Brenner ◽  
Bill Buffum ◽  
Brian C Tefft ◽  
Scott R McWilliams
Keyword(s):  
Habitat Selection ◽  
Rhode Island ◽  
Breeding Season ◽  
Resource Selection ◽  
Selection Function ◽  
Reciprocal Transplant ◽  
Transplant Experiment ◽  
High Likelihood ◽  
Reciprocal Transplant Experiment ◽  
American Woodcock

Abstract The multiscale nature of habitat selection during the breeding season for migratory birds means that core-use areas (e.g., breeding territories) are selected based on their local habitat features, but these may also be influenced in some way by features within a larger-scale landscape. We conducted a reciprocal transplant experiment to test the hypothesis that habitat selection and movements of male American Woodcock (Scolopax minor) in core-use areas during the breeding season depend on the perceived quality of the surrounding landscape. We captured second-year male woodcocks (n = 19) at high- or low-likelihood of use landscapes in Rhode Island, USA, affixed each with a radio transmitter, relocated them to the opposite type of landscape, and then determined if they returned to their original site of capture or remained in the landscape to which they were relocated. Birds captured in high-likelihood landscapes and moved to low-likelihood landscapes generally returned to their original high-likelihood landscape (5/7, 71%), but birds captured in low-likelihood landscapes and moved to high-likelihood landscapes rarely returned to their original low-likelihood landscape (1/12, 8%). These results support the hypothesis that woodcock assess their surroundings relatively rapidly and subsequently make critical settlement decisions based on landscape composition. Given that woodcock choice is predicted by the woodcock-specific resource selection function, these results also provide support for the use of this tool to guide forest management for woodcock.

Polar bear (Ursus maritimus) maternity denning habitat in western Hudson Bay: a bottom-up approach to resource selection functions

2005 ◽  
Vol 83 (6) ◽  
pp. 860-870 ◽  
Author(s):  
Evan Richardson ◽  
Ian Stirling ◽  
David S Hik
Keyword(s):  
Resource Selection ◽  
Polar Bear ◽  
Vegetation Index ◽  
Landsat Imagery ◽  
Ursus Maritimus ◽  
Habitat Characteristics ◽  
Tree Cover ◽  
Selection Function ◽  
Hudson Bay ◽  
Western Hudson Bay

We examined habitat characteristics of 101 polar bear (Ursus maritimus Phipps, 1774) den sites and 83 adjacent unoccupied sites in western Hudson Bay, Canada, between mid-August and early October 2001 and 2002. Bears denned almost exclusively in peat banks (n = 100) along the edges of creeks, rivers, and lakes adjacent to open lichen tundra sites. Den sites differed from unoccupied sites by having greater tree cover (P = 0.002), less moss cover (P < 0.001), and less herbaceous cover (P = 0.005). The presence of tree roots improved substrate stability, providing support to den structures. Den entrance azimuths were weighted toward a southeasterly aspect (P < 0.005), away from the prevailing northwest winds. To identify habitats with the greatest relative probability of having a den, a resource selection function (RSF) model was developed using remote sensing imagery and 1245 known den locations. High normalized difference vegetation index and brightness values derived from Landsat imagery, which were in close proximity to water, corresponded well with polar bear den sites. Identification of critical denning areas through the use of RSF will provide resource managers with a valuable tool for ensuring the protection of denning habitat, and consequently female bears and their young.

scholarly journals The effects of human land use on the winter habitat of the recovering Carcross woodland caribou herd in suburban Yukon Territory, Canada

Rangifer ◽  
2007 ◽  
Vol 27 (4) ◽  
pp. 181 ◽  
Author(s):  
Rob Florkiewicz ◽  
Ramona Maraj ◽  
Troy Hegel ◽  
Marcus Waterreus
Keyword(s):  
Land Management ◽  
Resource Selection ◽  
Rangifer Tarandus ◽  
Yukon Territory ◽  
Selection Function ◽  
Woodland Caribou ◽  
Private Lands ◽  
Winter Habitat ◽  
Winter Range ◽  
Private And Public

Carcross woodland caribou (Rangifer tarandus caribou) numbers are increasing as a result of an intensive management and recovery program initiated in 1993. In the last 13 years, three overlapping First Nation land claim agreements were settled resulting in a complicated array of private and public land management authorities on this winter range, situated in the Whitehorse periphery. Twelve years of VHF radio-collar data (1994-2005) and 5 years of GPS radio-collar data (2000-2005) for female caribou were assessed to determine winter concentration areas and important winter habitats. We contrasted locations from 11 GPS radio-collared caribou with land cover classes, derived from classified Landsat 7 imagery, to evaluate the distribution and abundance of preferred habitats within this winter range. We found significant use of Open Needle Leaf lichen vegetation classes and avoidance of the relatively more abundant Closed Needle Leaf class. Our resource selection function model validated the preference for Open Needle Leaf Lichen and determined that caribou were spaced significantly further from an estimate of the human Zone of Influence (ZOI) than was expected from random locations. While our assessment determined that 64% of the winter range was located outside of either private lands or land influenced by human activity, key winter vegetation classes were under-represented within this area. If caribou are to successfully recover on this landscape and persist through time it is essential to manage, through meaningful participation among land management authorities, the remaining caribou habitat for environmental rather than human consumptive values.

scholarly journals Energy selection functions: modelling the energetic drivers of animal movement and habitat use

2021 ◽  
Author(s):  
Natasha J. Klappstein ◽  
Jonathan Potts ◽  
Théo Michelot ◽  
Luca Börger ◽  
Nicholas Pilfold ◽  
...  
Keyword(s):  
Habitat Selection ◽  
Resource Selection ◽  
Animal Movement ◽  
Cost Minimization ◽  
Conditional Logistic Regression ◽  
Data Gathering ◽  
Selection Function ◽  
Landscape Resistance ◽  
Modelling Framework

1. Energetics are a key driver of animal decision-making, as survival depends on the balance between foraging benefits and movement costs. This fundamental perspective is often missing from habitat selection studies, which mainly describe correlations between space use and environmental features, rather than the mechanisms behind these correlations. To address this gap, we present a new modelling framework, the energy selection function (ESF), to assess how moving animals choose habitat based on energetic considerations. 2. The ESF considers that the likelihood of an animal selecting a movement step depends directly on the corresponding energetic gains and costs. The parameters of the ESF measure selection for energetic gains and against energetic costs; when estimated jointly, these provide inferences about foraging and movement strategies. The ESF can be implemented easily with standard conditional logistic regression software, allowing for fast inference. We outline a workflow, from data-gathering to statistical analysis, and use a case study of polar bears (Ursus maritimus) as an illustrative example. 3. We show how defining gains and costs at the scale of the movement step allows us to include detailed information about resource distribution, landscape resistance, and movement patterns. We demonstrate this in the polar bear case study, in which the results show how cost-minimization may arise in species that inhabit environments with an unpredictable distribution of energetic gains. 4. The ESF combines the energetic consequences of both movement and resource selection, thus incorporating a key aspect of evolutionary behaviour into habitat selection analysis. Because of its close links to existing habitat selection models, the ESF is widely applicable to any study system where energetic gains and costs can be derived, and has immense potential for methodological extensions.

Sign in / Sign up

Export Citation Format

Share Document