Investigating uneven recovery of repatriated bobcats (Lynx rufus) in a mined landscape: space use, habitat use and condition in coal country
I. Suzanne Prange A C * and Christa Rose
B D *
+ Author Affiliations
- Author Affiliations
A Ohio Division of Wildlife, 360 East State Street, Athens, OH 45701, USA.
B Native Species Support, PO Box 1302, Cambridge, OH 43725, USA.
C Present address: Appalachian Wildlife Research Institute, 7980 Long Run Road, Athens, OH 45701, USA; and Ohio University, 1 Ohio University, Athens, OH 45701, USA.
D Corresponding author. Email: ChristaRose.NSS@gmail.com
Wildlife Research 47(1) 77-88 https://doi.org/10.1071/WR18204
Submitted: 31 December 2018 Accepted: 8 September 2019 Published: 10 January 2020
Abstract
Context: Bobcats (Lynx rufus) were extirpated from Ohio, USA, during the mid-1800s. Genetic evidence indicates that they recolonised from neighbouring states. Initial re-establishment occurred almost simultaneously in two spatially distinct areas of a coal-mined landscape in the 1980s. Relative population growth was apparently higher in the eastern than in the southern area.
Aims: Understanding the reasons for the disparity in population dynamics and sustainability is essential for proper bobcat management. It also addresses substantial knowledge gaps in vertebrate carnivore ecology on mined land. We hypothesised that the characteristics of mined land in the eastern Ohio area provided bobcats with greater resources, enabling a more rapid recovery.
Methods: We trapped bobcats and took body measurements and weights to determine condition indices. We attached GPS radio-collars and used locations to determine annual home-range and core-area sizes, home-range and core-area overlap, and habitat selection using remotely sensed land cover data and mine permit records. We compared factors between the two bobcat population areas.
Key results: Body condition indices were higher, and home ranges and core areas of males and females were smaller, for eastern Ohio bobcats. Home-range overlap did not differ for any dyad type. Selection of mined land by habitat type differed at the home-range level, with eastern bobcats selecting more mined habitats and southern bobcats showing an opposite tendency.
Conclusions: An interaction may exist between landscape features of former surface mines and bobcat recovery. Results suggest more favourable habitat conditions in the eastern area, which featured more mined land and more older, less regulated mines, than in the southern area. These conditions may support a higher bobcat reproductive success.
Implications: The first bobcat harvest season in Ohio is under development by authorities. We recommend the regulation of eastern and southern Ohio as separate bobcat management units; the southern population should remain protected, and the eastern population should be managed conservatively as a source population to further colonise southern Ohio. Our data suggest that surface-mined land can be conducive to the restoration and conservation of species.
Additional keywords: conservation, density, home range, Lynx rufus, mined land, Ohio, overlap.
References
Ackerman, B. B. (1982). Cougar predation and ecological energetics in southern Utah. M.Sc. Thesis, Utah State University, Logan, UT, USA.Anderson, E. M. (1987). A critical review and annotated bibliography of literature on the bobcat. Special report number 62. Colorado Division of Wildlife, Terrestrial Wildlife Research, Denver, CO, USA.
Anderson, C., Prange, S., and Gibbs, L. (2015). Origin and genetic structure of a recovering bobcat (Lynx rufus) population. Canadian Journal of Zoology 93, 889–899.
| Origin and genetic structure of a recovering bobcat (Lynx rufus) population.Crossref | GoogleScholarGoogle Scholar |
Association of Fish and Wildlife Agencies (2006). ‘Best Management Practices for Trapping Bobcats in the United States.’ (Association of Fish and Wildlife Agencies: Washington, DC, USA.)
Benson, J. F., Chamberlain, M. J., and Leopold, B. D. (2006). Regulation of space use in a solitary felid: population density or prey availability? Animal Behaviour 71, 685–693.
| Regulation of space use in a solitary felid: population density or prey availability?Crossref | GoogleScholarGoogle Scholar |
Bureau of Land Management (2019). ‘Abandoned Mine Lands/Extent of the Problem/Introduction.’ Available at https://www.abandonedmines.gov/extent_of_the_problem [verified 22 July 2019].
Burger, J. A., Graves D., Angel P., Davis V., and Zipper C. (2005). The Forestry Reclamation Approach. Forest Reclamation Advisory Number 2. The Appalachian Regional Reforestation Initiative, US Office of Surface Mining Reclamation and Enforcement, Pittsburgh, PA,USA.
Calenge, C. (2006). The package ‘adehabitat’ for the R software: a tool for the analysis of space and habitat use by animals. Ecological Modelling 197, 516–519.
| The package ‘adehabitat’ for the R software: a tool for the analysis of space and habitat use by animals.Crossref | GoogleScholarGoogle Scholar |
Clutton-Brock, T. H., and Harvey, P. H. (1978). Mammals, resources, and reproductive strategies. Nature 273, 191–195.
| Mammals, resources, and reproductive strategies.Crossref | GoogleScholarGoogle Scholar | 347308PubMed |
Cristescu, B., Stenhouse, G. B., and Boyce, M. S. (2016). Large omnivore movements in response to surface mining and mine reclamation. Scientific Reports 6, 19177.
| Large omnivore movements in response to surface mining and mine reclamation.Crossref | GoogleScholarGoogle Scholar | 26750094PubMed |
De Capita, M. E., and Bookout, T. A. (1975). Small mammal populations, vegetational cover and hunting use of an Ohio strip-mine area. The Ohio Journal of Science 75, 305–313.
Drake, R. (2001). ‘A History of Appalachia.’ (University Press of Kentucky: Lexington, KY, USA.)
ESRI (2017). ‘ArcGIS for Desktop. Ver. 10.5.1.’ (Environmental System Research Institute, Inc.: Redlands, CA, USA.)
ESS (2015). ‘LOAS. Ver. 4.0.’ (Ecological Software Solutions, Virtual LLC: FL, USA.)
Fischer-Kowalski, M., Swilling, M., von Weizsäcker, E. U., Ren, Y., Moriguchi, Y., Crane, W., Krausmann, F., Eisenmenger, N., Giljum, S., Hennicke, P., Romero Lankao, P., Siriban Manalang, A., and Sewerin, S. (2011). Decoupling natural resource use and environmental impacts from economic growth. A report of the Working Group on Decoupling to the International Resource Panel. United Nations Environmental Program, Nairobi, Kenya.
Groninger, J. W., Fillmore, S. D., and Rathfon, R. A. (2006). Stand characteristics and productivity potential of Indiana surface mines reclaimed under SMCRA. Northern Journal of Applied Forestry 23, 94–99.
| Stand characteristics and productivity potential of Indiana surface mines reclaimed under SMCRA.Crossref | GoogleScholarGoogle Scholar |
Hemson, G., Johnson, P., South, A., Kenward, R., Ripley, R., and Macdonald, D. (2005). Are kernels the mustard? Data from global positioning system (GPS) collars suggests problems for kernel home-range analyses with least-squares cross-validation. Journal of Animal Ecology 74, 455–463.
| Are kernels the mustard? Data from global positioning system (GPS) collars suggests problems for kernel home-range analyses with least-squares cross-validation.Crossref | GoogleScholarGoogle Scholar |
Holl, K. (2002). Long-term vegetation recovery on reclaimed coal surface-mines in the eastern USA. Journal of Applied Ecology 39, 960–970.
| Long-term vegetation recovery on reclaimed coal surface-mines in the eastern USA.Crossref | GoogleScholarGoogle Scholar |
Homer, C. G., Dewitz, J. A., Yang, L., Jin, S., Danielson, P., Xian, G., Coulston, J., Herold, N. D., Wickham, J. D., and Megown, K. (2015). Completion of the 2011 National Land Cover Database for the conterminous United States: representing a decade of land cover change information. Photogrammetric Engineering and Remote Sensing 81, 345–354.
Johnson, C. D., and Skousen, J. G. (1995). Minesoil properties of 15 abandoned mine land sites in West Virginia. Journal of Environmental Quality 24, 635–643.
| Minesoil properties of 15 abandoned mine land sites in West Virginia.Crossref | GoogleScholarGoogle Scholar |
Knick, S. T. (1990). Ecology of bobcats relative to exploitation and a prey decline in southeastern Idaho. Wildlife Monographs 108, 1–42.
Ko, J. C., Abbo, L. A., Weil, A. B., Johnson, B. M., and Payton, M. (2007). A comparison of anesthetic and cardiorespiratory effects of tiletamine–zolazepam–butorphanol and tiletamine–zolazepam–butorphanol–medetomidine in cats. Veterinary Therapeutics 8, 164–176.
| 17926302PubMed |
Larivière, S., and Walton, L. R. (1997.) ‘Lynx rufus. American Society of Mammalogists, Mammalian Species No. 563.’ (ASM: Topeka, KS, USA.)
Linde, S. A., Roberts, S. D., Gosselink, T. E., and William, R. C. (2012). Habitat modeling used to predict relative abundance of bobcats in Iowa. The Journal of Wildlife Management 76, 534–543.
| Habitat modeling used to predict relative abundance of bobcats in Iowa.Crossref | GoogleScholarGoogle Scholar |
Lindstedt, S. L., Miller, B. J., and Buskirk, S. W. (1986). Home range, time, and body size in mammals. Ecology 67, 413–418.
| Home range, time, and body size in mammals.Crossref | GoogleScholarGoogle Scholar |
Litvaitis, J. A., Sherburne, J. A., and Bissonette, J. A. (1986). Bobcat habitat use and home range size in relation to prey density. The Journal of Wildlife Management 50, 110–117.
| Bobcat habitat use and home range size in relation to prey density.Crossref | GoogleScholarGoogle Scholar |
Loveland, T., Gutman, G., Buford, M., Chatterjee, K., Justice, C., Rogers, C., Stokes, B., and Thomas, J. (2003). Land use/land cover change. In ‘Strategic Plan for the US Climate Change Science Program’. (Ed. Climate Change Science Program and Subcommittee on Global Change Research.) pp. 118–134. (US Climate Change Science Program: Washington, DC, USA.)
Manly, B., McDonald, L., Thomas, D., MacDonald, T., and Erickson, W. (2002). ‘Resource Selection by Animals, Statistical Design and Analysis for Field Studies.’ 2nd edn. (Kluwer Academic Publisher: Dordrecht, The Netherlands.)
Marker, L. L., and Dickman, A. J. (2003). Morphology, physical condition, and growth of the cheetah (Acinonyx jubatus jubatus). Journal of Mammalogy 84, 840–850.
| Morphology, physical condition, and growth of the cheetah (Acinonyx jubatus jubatus).Crossref | GoogleScholarGoogle Scholar |
Moseley, K. R., Ford, M. W., Edwards, J. W., and Adams, M. B. (2010). Reptile, amphibian, and small mammal species associated with natural gas development in the Monongahela National Forest, West Virginia. Research Paper NRS-10. USDA Forest Service, Northern Research Station, Newtown Square, PA, USA.
NCSS (2015). ‘NCSS. Ver. 8.’ (NCSS, LLC: Kaysville, UT, USA.)
ODNR, Division of Mineral Resources (2012). ‘Mines of Ohio.’ Available at https://gis.ohiodnr.gov/MapViewer/?config=OhioMines [verified May 2018].
ODNR, Division of Mineral Resources (2014). ‘Oil and Gas Fields Map of Ohio.’ Available at http://geosurvey.ohiodnr.gov/portals/geosurvey/PDFs/Misc_State_Maps&Pubs/pg01.pdf [verified May 2018].
ODNR, Division of Wildlife (2015). 2014 annual bobcat report. ODNR, Athens, OH, USA.
Pericak, A. A., Thomas, C. J., Kroodsma, D. A., Wasson, M. F., Ross, M. R. V., Clinton, N. E., Campagna, D. J., Franklin, Y., Bernhardt, E. S., and Amos, J. F. (2018). Mapping the yearly extent of surface coal mining in central Appalachia using Landsat and Google Earth Engine. PLoS One 13, e0197758.
| Mapping the yearly extent of surface coal mining in central Appalachia using Landsat and Google Earth Engine.Crossref | GoogleScholarGoogle Scholar | 30044790PubMed |
Prange, I. S. (2011). Distribution and abundance of bobcats in southeastern Ohio. In ‘2011 Wildlife Research Report’. (Ed. D. Scott.) pp. 10–14. (ODNR, Division of Wildlife: Columbus, OH, USA.)
R Core Team (2016). ‘R: a Language and Environment for Statistical Computing.’ (R Foundation for Statistical Computing: Vienna, Austria.)
R Core Team (2018). ‘R: a Language and Environment for Statistical Computing.’ (R Foundation for Statistical Computing: Vienna, Austria.)
Raesly, E. J. (2001). Progress and status of river otter reintroduction projects in the United States. Wildlife Society Bulletin 29, 856–862.
Roberts, N. M., and Crimmins, S. M. (2010). Bobcat population status and management in North America: evidence of large-scale population increase. Journal of Fish and Wildlife Management 1, 169–174.
| Bobcat population status and management in North America: evidence of large-scale population increase.Crossref | GoogleScholarGoogle Scholar |
Rodrigue, J. A., and Burger, J. A. (2004). Forest soil productivity of mined land in the midwestern and eastern coalfield regions. Soil Science Society of America Journal 68, 833–844.
| Forest soil productivity of mined land in the midwestern and eastern coalfield regions.Crossref | GoogleScholarGoogle Scholar |
Rodrigue, J. A., Burger, J. A., and Oderwald, R. G. (2002). Forest productivity and commercial value of pre-law reclaimed mined land in the eastern United States. Northern Journal of Applied Forestry 19, 106–114.
| Forest productivity and commercial value of pre-law reclaimed mined land in the eastern United States.Crossref | GoogleScholarGoogle Scholar |
Rose, C., and Prange, S. (2015). Diet of the recovering Ohio bobcat (Lynx rufus) with a consideration of two subpopulations. American Midland Naturalist 173, 305–317.
| Diet of the recovering Ohio bobcat (Lynx rufus) with a consideration of two subpopulations.Crossref | GoogleScholarGoogle Scholar |
Šálek, M. (2012). Spontaneous succession on opencast mining sites: implications for bird biodiversity. Journal of Applied Ecology 49, 1417–1425.
| Spontaneous succession on opencast mining sites: implications for bird biodiversity.Crossref | GoogleScholarGoogle Scholar |
Sandell, M. (1989). The mating tactics and spacing patterns of solitary carnivores. In ‘Carnivore Behavior, Ecology, and Evolution’. (Ed. J. L. Gittleman.) pp. 164–182. (Cornell University Press: Ithaca, NY, USA.)
Seaman, D. E., Millspaugh, J. J., Kernohan, B. J., Brundige, C. J., Raedeke, K. J., and Gitzen, R. A. (1999). Effects of sample size on kernel home range estimates. The Journal of Wildlife Management 63, 739–747.
| Effects of sample size on kernel home range estimates.Crossref | GoogleScholarGoogle Scholar |
Sikes, R. S., The Animal Use and Care Committee of the American Society of Mammalogists (2016). 2016 guidelines of the American Society of Mammalogists for the use of wild mammals in research and education. Journal of Mammalogy 97, 663–688.
| 2016 guidelines of the American Society of Mammalogists for the use of wild mammals in research and education.Crossref | GoogleScholarGoogle Scholar | 29692469PubMed |
Surface Mining Control and Reclamation Act (SMCRA) (2006). ‘Public Law 95-87. Surface Mining Control and Reclamation Act of 1977. US Code, Title 30, Chapter 25.’ (USOSM: Washington, DC, USA.)
Townsend, P. A., Helmers, D. P., Kingdon, C. C., McNeil, B. E., de Beurs, K. M., and Eshleman, K. N. (2009). Changes in the extent of surface mining and reclamation in the central Appalachians detected using a 1976–2006 Landsat time series. Remote Sensing of Environment 113, 62–72.
| Changes in the extent of surface mining and reclamation in the central Appalachians detected using a 1976–2006 Landsat time series.Crossref | GoogleScholarGoogle Scholar |
Trautman, M. B. (1977). ‘The Ohio Country from 1750 to 1977: a Naturalist’s View. Ohio Biological Survey, Note No. 10.’ (Ohio State University: Columbus, OH, USA.)
Urbanek, R. P., and Klimstra, W. D. (1986). Vertebrates and vegetation on a surface-mined area in southern Illinois. Transactions of the Illinois State Academy of Science. Illinois State Academy of Science 79, 175–188.
US Climate Data (2018a). ‘Cambridge, OH.’ Available at https://www.usclimatedata.com/climate/cambridge/ohio/united-states/usoh0148 [verified April 2018].
US Climate Data (2018b). ‘Jackson, OH.’ Available at https://www.usclimatedata.com/climate/jackson/ohio/united-states/usoh0438 [verified April 2018].
US Energy Information Administration (2016). Annual coal report 2015. EIA, Washington, DC, USA.
US Geological Survey (USGS) (2012). ‘Western Allegheny Plateau Ecoregion Description.’ Available at http://landcovertrends.usgs.gov/east/eco70Report.html [verified May 2013].
US Government Accountability Office (2009). ‘Characteristics of Mining in Mountainous Areas of Kentucky and West Virginia. GAO-10-21.’ (GAO: Washington, DC, USA.)
US Geological Survey (USGS) (2016a). ‘Land Cover Trends Project, Central Appalachians.’ Available at https://landcovertrends.usgs.gov/east/eco69Report.html [verified September 2018].
US Geological Survey (USGS) (2016b). ‘Land Cover Trends Project, Western Allegheny Plateau.’ Available at https://landcovertrends.usgs.gov/east/eco70Report.html [verified September 2018].
Voight, J. R., and Glenn-Lewin, D. C. (1979). Strip mining, Peromyscus and other small mammals in southern Iowa. Proceedings of the Iowa Academy of Science 86, 133–136.
Widmann, R. H., Balser, D., Barnett, C., Butler, B. J., Griffith, D. M., Lister, T. W., Moser, W. K., Perry, C. H., Riemann, R., and Woodall, C. W. (2009). ‘Ohio Forests: 2006, Resource Bulletin NRS-36.’ (US Department of Agriculture, Forest Service, Northern Research Station: Newtown Square, PA, USA.)
World Coal Association (2018). ‘Where is Coal Found?’ Available at https://www.worldcoal.org/coal/where-coal-found [verified September 2018].
Worton, B. J. (1989). Kernel methods for estimating the utilization distribution in home-range studies. Ecology 70, 164–168.
| Kernel methods for estimating the utilization distribution in home-range studies.Crossref | GoogleScholarGoogle Scholar |
Zajac, R. M., Bruskotter, J. T., Wilson, R. S., and Prange, S. (2012). Learning to live with black bears: a psychological model of acceptance. The Journal of Wildlife Management 76, 1331–1340.
| Learning to live with black bears: a psychological model of acceptance.Crossref | GoogleScholarGoogle Scholar |
Zipper, C. E., Burger, J. A., McGrath, J. M., Rodrigue, J. A., and Holtzman, G. I. (2011). Forest restoration potentials of coal mined lands in the eastern United States. Journal of Environmental Quality 40, 1567–1577.
| Forest restoration potentials of coal mined lands in the eastern United States.Crossref | GoogleScholarGoogle Scholar | 21869519PubMed |
