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Influence of Landscape Characteristics on Hunter Space Use and Success
Authors:Mary M Rowland  Ryan M Nielson  Michael J Wisdom  Bruce K Johnson  Scott Findholt  Darren Clark  Guy T Didonato  Jennifer M Hafer  Bridgett J Naylor
Institution:1. U.S. Forest Service, Pacific Northwest Research Station, 1401 Gekeler Lane, La Grande, OR, 97850 USA;2. Eagle Environmental, Inc., 30 Fonda Road, Santa Fe, NM, 87508 USA;3. Oregon Department of Fish and Wildlife, 1401 Gekeler Lane, La Grande, OR, 97850 USA

Retired.;4. Oregon Department of Fish and Wildlife, 1401 Gekeler Lane, La Grande, OR, 97850 USA

U.S. Forest Service, Pacific Northwest Research Station, 1401 Gekeler Lane, La Grande, OR, 97850 USA

Retired.;5. Oregon Department of Fish and Wildlife, 1401 Gekeler Lane, La Grande, OR, 97850 USA;6. Western Ecosystems Technology, 415 W. 17th Street, Suite 200, Cheyenne, WY, 82001 USA

Abstract:Sport hunting of ungulates is a predominant recreational pursuit and the primary tool for managing their populations in North America and beyond, given its influence on ungulate distributions, social organization, and population performance. Similarly, land management, such as motorized vehicle access, influences ungulate distributions during and outside hunting seasons. Although research on ungulate responses to hunting and land use is widespread, knowledge gaps persist about space use of hunters and what landscape features discriminate among hunt types and between successful and unsuccessful hunters. We used telemetry location data from hunters (n = 341) to estimate space use from 2008–2013 during 3 types of controlled, 5-day hunts for antlered mule deer (Odocoileus hemionus) and elk (Cervus canadensis) in northeastern Oregon, USA: archery elk, rifle deer, and rifle elk. To evaluate space use, we developed utilization distributions for each hunter, created core areas (50% contours) for groups of hunters, and derived several metrics of space-use overlap between successful and unsuccessful hunters. We also modeled predictors of space use using resource utilization functions with beta regression and stepwise model building. Hunter space use was compressed, with even the largest core area (unsuccessful rifle elk hunters) encompassing <16% (1,178 ha) of the area. We found strong similarities in space use of rifle hunters compared to archers, and core areas of successful hunters were markedly smaller than those of unsuccessful hunters (e.g., urn:x-wiley:0022541X:media:jwmg22107:jwmg22107-math-0001 = 104 ha vs. 681 ha, respectively, for archers). Percentage cover and distance from open roads were the most consistent covariates in the 6 final models (successful vs. unsuccessful for each of 3 hunts) but with different signs. For example, predicted use of archery and rifle elk hunters increased with cover but decreased for rifle deer hunters. Although the same covariates were in the final models for unsuccessful and successful rifle elk hunters, their negligible spatial overlap suggested they sought those features in different locales, a pattern also documented for rifle deer hunters. Our models performed well (Spearman's rank correlation coefficients = 0.99 for 5 of 6 models), reflecting their utility for managing hunters and landscapes. Our results suggest that strategic management of open roads and forest cover can benefit managers seeking to balance hunter opportunity and satisfaction with harvest objectives, especially for species of special concern such as mule deer, and that differences in space use among hunter groups should be accounted for in hunting season designs. © 2021 The Wildlife Society. This article has been contributed to by US Government employees and their work is in the public domain in the USA.
Keywords:archery hunt  Cervus canadensis  elk  hunter success  motorized access  mule deer  Odocoileus hemionus  rifle hunt  space use  utilization distribution
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