Habitat Selection by Mule Deer During Migration: Effects of Landscape Structure and Natural-Gas Development

2013 ◽  
pp. 263-292
Keyword(s):  
Habitat Selection ◽  
Natural Gas ◽  
Landscape Structure ◽  
Mule Deer ◽  
Natural Gas Development

scholarly journals Habitat selection by mule deer during migration: effects of landscape structure and natural-gas development

Ecosphere ◽  
2012 ◽  
Vol 3 (9) ◽  
pp. art82 ◽  
Author(s):  
Patrick E. Lendrum ◽  
Charles R. Anderson ◽  
Ryan A. Long ◽  
John G. Kie ◽  
R. Terry Bowyer
Keyword(s):  
Habitat Selection ◽  
Natural Gas ◽  
Landscape Structure ◽  
Mule Deer ◽  
Natural Gas Development

Response of mule deer to habitat modification near natural gas development

2012 ◽  
Vol 8 (1) ◽  
Author(s):  
Fred Van Dyke ◽  
Autumn Fox ◽  
Seth M. Harju ◽  
Matthew R. Dzialak ◽  
Larry D. Hayden-Wing ◽  
...  
Keyword(s):  
Natural Gas ◽  
Mule Deer ◽  
Habitat Modification ◽  
Natural Gas Development

scholarly journals Reproductive success of mule deer in a natural gas development area

2017 ◽  
Vol 2017 (1) ◽  
pp. wlb.00341 ◽  
Author(s):  
Mark E. Peterson ◽  
Charles R. Anderson ◽  
Joseph M. Northrup ◽  
Paul F. Doherty
Keyword(s):  
Reproductive Success ◽  
Natural Gas ◽  
Mule Deer ◽  
Natural Gas Development ◽  
Development Area

Winter Habitat Selection of Mule Deer Before and During Development of a Natural Gas Field

2006 ◽  
Vol 70 (2) ◽  
pp. 396-403 ◽  
Author(s):  
HALL SAWYER ◽  
RYAN M. NIELSON ◽  
FRED LINDZEY ◽  
LYMAN L. McDONALD
Keyword(s):  
Habitat Selection ◽  
Natural Gas ◽  
Mule Deer ◽  
Gas Field ◽  
Winter Habitat ◽  
Selection Of

Mortality of mule deer fawns in a natural gas development area

2018 ◽  
Vol 82 (6) ◽  
pp. 1135-1148 ◽  
Author(s):  
Mark E. Peterson ◽  
Charles R. Anderson ◽  
Joseph M. Northrup ◽  
Paul F. Doherty
Keyword(s):  
Natural Gas ◽  
Mule Deer ◽  
Natural Gas Development ◽  
Development Area

scholarly journals Responses of Vertebrate Wildlife to Oil and Natural Gas Development: Patterns and Frontiers

2021 ◽  
Author(s):  
A. D. Chalfoun
Keyword(s):  
Natural Gas ◽  
Anthropogenic Activities ◽  
Spatial Scales ◽  
Habitat Type ◽  
Population Level ◽  
Low Frequencies ◽  
Natural Gas Development ◽  
The Usa ◽  
Oil And Natural Gas

Abstract Purpose of Review Anthropogenic activities can lead to the loss, fragmentation, and alteration of wildlife habitats. I reviewed the recent literature (2014–2019) focused on the responses of avian, mammalian, and herpetofaunal species to oil and natural gas development, a widespread and still-expanding land use worldwide. My primary goals were to identify any generalities in species’ responses to development and summarize remaining gaps in knowledge. To do so, I evaluated the directionality of a wide variety of responses in relation to taxon, location, development type, development metric, habitat type, and spatiotemporal aspects. Recent Findings Studies (n = 70) were restricted to the USA and Canada, and taxonomically biased towards birds and mammals. Longer studies, but not those incorporating multiple spatial scales, were more likely to detect significant responses. Negative responses of all types were present in relatively low frequencies across all taxa, locations, development types, and development metrics but were context-dependent. The directionality of responses by the same species often varied across studies or development metrics. Summary The state of knowledge about wildlife responses to oil and natural gas development has developed considerably, though many biases and gaps remain. Studies outside of North America and that focus on herpetofauna are lacking. Tests of mechanistic hypotheses for effects, long-term studies, assessment of response thresholds, and experimental designs that isolate the effects of different stimuli associated with development, remain critical. Moreover, tests of the efficacy of habitat mitigation efforts have been rare. Finally, investigations of the demographic effects of development across the full annual cycle were absent for non-game species and are critical for the estimation of population-level effects.

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