Does hunting or hiking affect wildlife communities in protected areas

Summary Managed public wild areas have dual mandates to protect biodiversity and provide recreational opportunities for people. These goals could be at odds if recreation, ranging from hiking to legal hunting, disrupts wildlife enough to alter their space use or community structure. We evaluated the effect of managed hunting and recreation on 12 terrestrial wildlife species by employing a large citizen science camera trapping survey at 1947 sites stratified across different levels of human activities in 32 protected forests in the eastern USA. Habitat covariates, especially the amount of large continuous forest and local housing density, were more important than recreation for affecting the distribution of most species. The four most hunted species (white-tailed deer, raccoons, eastern grey and fox squirrels) were commonly detected throughout the region, but relatively less so at hunted sites. Recreation was most important for affecting the distribution of coyotes, which used hunted areas more compared with unhunted control areas, and did not avoid areas used by hikers. Most species did not avoid human-made trails, and many predators positively selected them. Bears and bobcats were more likely to avoid people in hunted areas than unhunted preserves, suggesting that they perceive the risk of humans differently depending on local hunting regulations. However, this effect was not found for the most heavily hunted species, suggesting that human hunters are not broadly creating ‘fear’ effects to the wildlife community as would be expected for apex predators. Synthesis and applications. Although we found that hiking and managed hunting have measureable effects on the distribution of some species, these were relatively minor in comparison with the importance of habitat covariates associated with land use and habitat fragmentation. These patterns of wildlife distribution suggest that the present practices for regulating recreation in the region are sustainable and in balance with the goal of protecting wildlife populations and may be facilitated by decades of animal habituation to humans. The citizen science monitoring approach we developed could offer a long-term monitoring protocol for protected areas, which would help managers to detect where and when the balance between recreation and wildlife has tipped.

[1]  L. Jenni,et al.  Determinants of uncertainty in wildlife responses to human disturbance , 2017, Biological reviews of the Cambridge Philosophical Society.

[2]  Damon B. Lesmeister,et al.  Spatial and Temporal Structure of a Mesocarnivore Guild in Midwestern North America , 2015 .

[3]  Stephen L. Webb,et al.  Does human predation risk affect harvest susceptibility of white‐tailed deer during hunting season? , 2014 .

[4]  H. S. Ray,et al.  Coyote Removal, Understory Cover, and Survival of White-Tailed Deer Neonates , 2014 .

[5]  J. Alldredge,et al.  Effects of hunting on cougar spatial organization , 2014, Ecology and evolution.

[6]  Jason J. Roberts,et al.  Pelagic movements of pacific leatherback turtles (dermochelys coriacea) highlight the role of prey and ocean currents , 2013 .

[7]  Jiawei Han,et al.  The environmental-data automated track annotation (Env-DATA) system: linking animal tracks with environmental data , 2013, Movement ecology.

[8]  A. Mysterud,et al.  Hunting for fear: innovating management of human–wildlife conflicts , 2013 .

[9]  S. Mahoney,et al.  Enshrining hunting as a foundation for conservation – the North American Model , 2013 .

[10]  Andreas Wilting,et al.  Risky business or simple solution – Relative abundance indices from camera-trapping , 2013 .

[11]  Robert P. Guralnick,et al.  Anthropogenic Influences on Macro-Level Mammal Occupancy in the Appalachian Trail Corridor , 2012, PloS one.

[12]  W. McShea Ecology and management of white‐tailed deer in a changing world , 2012, Annals of the New York Academy of Sciences.

[13]  Michael Schaub,et al.  Bayesian Population Analysis using WinBUGS: A Hierarchical Perspective , 2011 .

[14]  Alessandro Massolo,et al.  Human Activity Helps Prey Win the Predator-Prey Space Race , 2011, PloS one.

[15]  Zhihai He,et al.  Monitoring wild animal communities with arrays of motion sensitive camera traps , 2010, ArXiv.

[16]  W. Ripple,et al.  The Landscape of Fear: Ecological Implications of Being Afraid~!2009-09-09~!2009-11-16~!2010-02-02~! , 2010 .

[17]  Rebecca J. Foster,et al.  Differential Use of Trails by Forest Mammals and the Implications for Camera‐Trap Studies: A Case Study from Belize , 2010 .

[18]  C. Lindgren Last child in the woods – saving our children from nature-deficit disorder , 2009 .

[19]  Bruce D. Patterson,et al.  The Status of the World's Land and Marine Mammals: Diversity, Threat, and Knowledge , 2008, Science.

[20]  S. Reed,et al.  Quiet, Nonconsumptive Recreation Reduces Protected Area Effectiveness , 2008 .

[21]  S. Creel,et al.  Relationships between direct predation and risk effects. , 2008, Trends in ecology & evolution.

[22]  R. G. Davies,et al.  Methods to account for spatial autocorrelation in the analysis of species distributional data : a review , 2007 .

[23]  Peter Vogt,et al.  Mapping Spatial Patterns with Morphological Image Processing , 2007, Landscape Ecology.

[24]  N. Yoccoz Occupancy Estimation and Modeling. Inferring patterns and dynamics of species occurrence , 2006 .

[25]  Douglas W. Smith,et al.  Influence of harvest, climate and wolf predation on Yellowstone elk, 1961‐2004 , 2005 .

[26]  Andrew Gelman,et al.  R2WinBUGS: A Package for Running WinBUGS from R , 2005 .

[27]  Volker C. Radeloff,et al.  Characterizing dynamic spatial and temporal residential density patterns from 1940-1990 across the North Central United States , 2004 .

[28]  Darryl I. MacKenzie,et al.  The use of photographic rates to estimate densities of tigers and other cryptic mammals: a comment on misleading conclusions , 2002 .

[29]  Andrew Thomas,et al.  WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility , 2000, Stat. Comput..

[30]  David N. Cole,et al.  Wildland Recreation: Ecology and Management , 1990 .

[31]  George F. Mattfeld,et al.  Deer Density Control for Comprehensive Forest Management , 1970 .

[32]  Tavis D. Forrester,et al.  Volunteer-run cameras as distributed sensors for macrosystem mammal research , 2015, Landscape Ecology.

[33]  Christopher A. Barnes,et al.  Completion of the 2006 National Land Cover Database for the conterminous United States. , 2011 .

[34]  L. Mech,et al.  Wolf-prey relations , 2003 .

[35]  Luigi Boitani,et al.  Wolves : behavior, ecology, and conservation , 2003 .

[36]  T. Stevens,et al.  PUBLIC-ATTITUDES ABOUT COYOTES IN NEW-ENGLAND , 1994 .