prairie chicken
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2022 ◽  
Vol 96 (1) ◽  
pp. 69-71
Author(s):  
Marcie McCauley
Keyword(s):  

Author(s):  
Samantha L. R. Capel ◽  
Juan L. Bouzat ◽  
Julian M. Catchen ◽  
Jeff A. Johnson ◽  
Peter O. Dunn ◽  
...  

2021 ◽  
pp. e01916
Author(s):  
Evan P. Tanner ◽  
Ashley M. Tanner ◽  
Samuel D. Fuhlendorf ◽  
R. Dwayne Elmore ◽  
Craig A. Davis ◽  
...  

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0256633
Author(s):  
Catherine S. Jarnevich ◽  
Pairsa N. Belamaric ◽  
Kent Fricke ◽  
Mike Houts ◽  
Liza Rossi ◽  
...  

Habitat loss from land-use change is one of the top causes of declines in wildlife species of concern. As such, it is critical to assess and reassess habitat suitability as land cover and anthropogenic features change for both monitoring and developing current information to inform management decisions. However, there are obstacles that must be overcome to develop consistent assessments through time. A range-wide lek habitat suitability model for the lesser prairie-chicken (Tympanuchus pallidicinctus), currently under review by the U. S. Fish and Wildlife Service for potential listing under the Endangered Species Act, was published in 2016. This model was based on lek data from 2002 to 2012, land cover data ranging from 2001 to 2013, and anthropogenic features from circa 2011, and has been used to help guide lesser prairie-chicken management and anthropogenic development actions. We created a second iteration model based on new lek surveys (2015 to 2019) and updated predictors (2016 land cover and cleaned/updated anthropogenic data) to evaluate changes in lek suitability and to quantify current range-wide habitat suitability. Only three of 11 predictor variables were directly comparable between the iterations, making it difficult to directly assess what predicted changes resulted from changes in model inputs versus actual landscape change. The second iteration model showed a similar positive relationship with land cover and negative relationship with anthropogenic features to the first iteration, but exhibited more variation among candidate models. Range-wide, more suitable habitat was predicted in the second iteration. The Shinnery Oak Ecoregion, however, exhibited a loss in predicted suitable habitat that could be due to predictor source changes. Iterated models such as this are important to ensure current information is being used in conservation and development decisions.


2021 ◽  
Vol 85 (8) ◽  
pp. 1699-1710
Author(s):  
Jonathan D. Lautenbach ◽  
David A. Haukos ◽  
Joseph M. Lautenbach ◽  
Christian A. Hagen

2021 ◽  
Vol 65 (3) ◽  
Author(s):  
Erik Hofmeister ◽  
Fiona Georgousi ◽  
Melissa Lund ◽  
Pamela J. Ferro ◽  
Joe Flanagan ◽  
...  

Author(s):  
Andrew J. LAWRENCE ◽  
Scott A. Carleton ◽  
William R. Gould ◽  
Clay T. Nichols

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Michael A. Patten ◽  
Alexandra A. Barnard ◽  
Claire M. Curry ◽  
Henry Dang ◽  
Rebecca W. Loraamm

AbstractHabitat selection is a basic aspect of the ecology of many species, yet often the term is conflated or confused with both habitat preference and habitat use. We argue that each term fits within a conceptual framework that can be viewed in Bayesian terms and demonstrate, using long-term data on occupancy patterns of a grassland grouse, how prior probability profiles can be estimated. We obtained estimates by specifically focusing on whether and to what extent the Lesser Prairie-Chicken (Tympanuchus pallidicinctus) avoids anthropogenic features such as roads, powerlines, petroleum wells, fences, and buildings, in two study areas, one with denser and one with sparser incidence of features. Grouse strongly avoided large features such as outbuildings and tended to avoid tall features such as powerlines; by contrast, grouse did not or only slightly avoided low, unobtrusive features such as fences. We further examined co-location of pairs of anthropogenic features and found that certain features were avoided so strongly that avoidance distance may be shorter for other features; that is, birds were “pushed toward” some features because they are “pushed away” from others. In each case, our approach points toward a means to incorporate avoidance behavior directly into analytic studies of habitat selection, in that data on use (the posterior, as it were) could be used to infer the selection process provided data on preference (the prior, as it were) could be obtained.


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