Academic literature on the topic 'Wildlife and habitat management'
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Journal articles on the topic "Wildlife and habitat management"
Belovsky, Gary E. "Insights for caribou/reindeer management using optimal foraging theory." Rangifer 11, no. 4 (October 1, 1991): 7. http://dx.doi.org/10.7557/2.11.4.987.
Full textSuchant, Rudi, Rainer Baritz, and Vero Braunisch. "Wildlife habitat analysis – a multidimensional habitat management model." Journal for Nature Conservation 10, no. 4 (January 2003): 253–68. http://dx.doi.org/10.1078/1617-1381-00026.
Full textThompson, Ian D. "The importance of superior-quality wildlife habitats." Forestry Chronicle 80, no. 1 (February 1, 2004): 75–81. http://dx.doi.org/10.5558/tfc80075-1.
Full textKyber-Robison, Ashley. "Ecologically Sound and Aesthetically Pleasing—Aesthetic Design for Effective Wildlife Habitats." HortScience 31, no. 4 (August 1996): 671b—671. http://dx.doi.org/10.21273/hortsci.31.4.671b.
Full textMorris, Douglas W. "How can we apply theories of habitat selection to wildlife conservation and management?" Wildlife Research 30, no. 4 (2003): 303. http://dx.doi.org/10.1071/wr02028.
Full textSalwasser, Hal. "Integrating Wildlife into the Managed Forest." Forestry Chronicle 61, no. 2 (April 1, 1985): 146–49. http://dx.doi.org/10.5558/tfc61146-2.
Full textZobel, John M., Alan R. Ek, and Christopher B. Edgar. "Assessing the Impact of 41 Years of Forest Management on Native Wildlife Habitat in Minnesota, USA." Journal of Forestry 119, no. 2 (January 21, 2021): 164–76. http://dx.doi.org/10.1093/jofore/fvaa050.
Full textKavwele, Cyrus M., Johnstone K. Kimanzi, and Mwangi J. Kinyanjui. "Impacts of Bush Encroachment on Wildlife Species Diversity, Composition, and Habitat Preference in Ol Pejeta Conservancy, Laikipia, Kenya." International Journal of Ecology 2017 (2017): 1–6. http://dx.doi.org/10.1155/2017/5620125.
Full textIliyasu Simon, Jennifer Che, and Lynne Baker. "University campuses can contribute to wildlife conservation in urbanizing regions: a case study from Nigeria." Journal of Threatened Taxa 12, no. 13 (September 26, 2020): 16736–41. http://dx.doi.org/10.11609/jott.6316.12.13.16736-16741.
Full textReilly, Brian. "Practical Techniques for Habitat and Wildlife Management." African Journal of Range & Forage Science 33, no. 4 (November 2016): 281–82. http://dx.doi.org/10.2989/10220119.2016.1275041.
Full textDissertations / Theses on the topic "Wildlife and habitat management"
Nowak, James. "Integrated Population Models and Habitat Metrics for Wildlife Management." Doctoral thesis, Université Laval, 2015. http://hdl.handle.net/20.500.11794/26023.
Full textSuccessful management of harvested species critically depends on an ability to predict the consequences of corrective actions. Ideally, managers would have comprehensive, quantitative and continuous knowledge of a managed system upon which to base decisions. In reality, wildlife managers rarely have comprehensive system knowledge. Despite imperfect knowledge and data deficiencies, a desire exists to manipulate populations and achieve objectives. To this end, manipulation of harvest regimes and the habitat upon which species rely have become staples of wildlife management. Contemporary statistical tools have potential to enhance both the estimation of population size and vital rates while making possible more proactive management. In chapter 1 we evaluate the efficacy of integrated population models (IPM) to fill knowledge voids under conditions of limited data and model misspecification. We show that IPMs maintain high accuracy and low bias over a wide range of realistic conditions. In recognition of the fact that many monitoring programs have focal data collection areas we then fit a novel form of the IPM that employs random effects to effectively share information through space and time. We find that random effects dramatically improve performance of optimization algorithms, produce reasonable estimates and make it possible to estimate parameters for populations with very limited data. We applied these random effect models to 51 elk management units in Idaho, USA to demonstrate the abilities of the models and information gains. Many of the estimates are the first of their kind. Short-term forecasting is the focus of population models, but managers assess viability on longer time horizons through habitat. Modern approaches to understanding large ungulate habitat requirements largely depend on resource selection. An implicit assumption of the resource selection approach is that disproportionate use of the landscape directly reflects an individual’s desire to meet life history goals. However, we show that simple metrics of habitat encountered better describe variations in elk survival. Comparing population level variation through time to individual variation we found that individual variation in habitat used was the most supported model relating habitat to a fitness component. Further, resource selection coefficients did not correlate with survival.
Rinehart, Kurt. "Analytical And Decision Tools For Wildlife Population And Habitat Management." ScholarWorks @ UVM, 2015. http://scholarworks.uvm.edu/graddis/393.
Full textSwanson, Kevin Allen. "Movements, Survival, and Habitat Relationships of Snowshoe Hares Following Release in Northeast Ohio." The Ohio State University, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=osu1364225059.
Full textRittenhouse, Chadwick D. "Wildlife response to spatial and temporal changes in forest habitat." Diss., Columbia, Mo. : University of Missouri-Columbia, 2008. http://hdl.handle.net/10355/5537.
Full textThe entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on June 15, 2009) Vita. Includes bibliographical references.
Fournier, Auriel Maria VanDerLaar. "Phenology, Habitat Use, and the Impacts of Wetland Management on Autumn Migrating Rails in Missouri." Thesis, University of Arkansas, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10261753.
Full textRails (Family: Rallidae) are among the least studied birds in North America, in large part due to their elusive nature. As a wetland-dependent species, understanding the timing of their migration and their habitat needs during migration is especially important since management needs to be timed to balance the needs of many species. I developed and verified a new distance sampling based nocturnal ATV spotlight survey because traditional call-broadcast surveys are not effective during autumn migration because of the drop off in call rate after the breeding season. These surveys allow us to ask point-level questions about what habitats rails select during migration and how it changes over time. Through these standardized surveys from 2012-2016 across 11 public properties in Missouri, USA, I documented the migratory timing and habitat use of migratory rails. Sora (Porzana carolina) have a wide migratory window, beginning in early August and continuing through the end of October with a peak in late September. Virginia Rail (Rallus limicola) and Yellow Rails (Coturnicops noveboracensis) have shorter migratory periods, from late September through the end of October. Rails, especially Sora, migrate earlier than waterfowl, which can create a mismatch of habitat needs. We performed a 3 year experiment to examine the response of Sora and waterfowl to early autumn wetland flooding. Sora responded positively without a negative impact on waterfowl. I used monitoring data to create species distribution models to inform estimates of migratory connectivity for all three species using stable hydrogen isotopes. Sora and Yellow Rails were estimated to migrate generally north-south, with Virginia Rails coming from a wider east-west range. Through better understanding the migratory connectivity, timing and habitat use of rails in the autumn I provide a foundation to inform conservation and management of these fascinating and elusive birds. We provide a description of all variables used (Appendix II), GPS data of survey tracks and detection points (Appendix III), data sets of bird observation points, survey data, and vegetation information (Appendix IV), data sets of stable hydrogen isotope data (Appendix V), data sets of species distribution models (Appendix VI).
Trulove, Nicholas F. "Social and Scientific Factors Impacting Mule Deer Habitat Conservation in the Intermountain West." Thesis, Prescott College, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=1539500.
Full textFor mule deer (Odocoileus hemionus) in the Intermountain West, alterations to habitat are outpacing strategies to mitigate human disturbance on critical seasonal ranges and migration routes.
Conserving mule deer habitat requires cooperation between a diverse group of stakeholders, state wildlife agencies, and federal land management agencies. The first chapter of this thesis explores the current and historical relationship between state wildlife agencies, citizen stakeholders, and federal agencies in order to highlight opportunities to improve cooperative habitat conservation in the United States. Conservation is a result of social, political, and economic action, but relies upon science to inform policy. The second chapter explores the seasonal habitat use of mule deer in southwestern Wyoming. In response to low fawn recruitment, the Wyoming Game and Fish Department deployed 15 GPS collars on adult female mule deer in an effort to enhance knowledge of mule deer population dynamics, migrations, and habitat use. The study captured two winter climate regimes, with greater winter severity during the 2010-11 winter compared to the winter of 2011-12. Deer migrated an average of 23.9 km (SE = 2.2) between seasonal ranges, and completed spring migrations nearly one month earlier following the milder winter of 2011-12 (t19 = 5.53, df = 19, P ≤ 0.001). Pooled, the average area of winter ranges (1057 ha, SE = 103, n = 26) was larger than summer ranges (423 ha, SE = 51 ha, n = 25) (t = −5.44, df = 49, P ≤ 0.001), with no increase or decrease in size of seasonal ranges detected between years (P = 0.243) according to a post-hoc Tukey HSD test. Between years, deer were observed to shift the geographic center of winter ranges (2.9 km, SE = 1.1, n = 12) to a larger degree than summer ranges (0.4 km, SE = 0.1, n = 12) (t = −2.20, df = 22, P = 0.040). Survival and pregnancy rates (86% and 96%, respectively) correlated closely with other mule deer studies, and neither factor appears to negatively impact population growth.
Identifying seasonal ranges and migration routes, and quantifying seasonal habitat use, will assist Wyoming Game and Fish Department efforts to protect mule deer seasonal habitats and migration routes, and direct vegetation manipulations intended to improve the nutritional quality of habitats. On average, winter ranges included a later percentage of shrub-dominated habitat (83.8%, SE = 0.3, n = 26) than summer ranges (57.5%, SE = 2.0, n = 25) (t = −4.42, df = 49, P ≤ 0.001). Summer ranges averaged a greater proportion of agricultural lands (2.8%, SE = 1.1, n = 25) and aspen (Populus tremuloides ) habitats (9.0%, SE = 2.2, n = 25) than winter ranges (0.1%, SE = 0.1, n = 26 and 0.2%, SE = 0.0, n = 26, respectively) (t = 3.03, df = 49, P = 0.004 and t= 3.86, df = 49, P ≤ 0.001, respectively). Mule deer ranges are primarily located on Bureau of Land Management (73%, SE = 2.8, n = 51) and privately owned (17.3%, SE = 2.9, n = 51) lands, highlighting opportunities for cooperative partnerships for mule deer habitat conservation.
Collins, Rita. "Urban Coyote (Canis latrans) Ecology| Diet, Activity, and Habitat Use." Thesis, California State University, Long Beach, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10826343.
Full textNon-habituated coyotes (Canis latrans) avoid direct interactions with humans. Reliance on human food sources has been linked to gradual habituation, a precursor to conflict and attacks on domestic pets and humans. Diet and activity patterns of urban coyotes inhabiting natural fragments in Long Beach, CA were monitored through scat collection and camera trapping over a year (Aug 2016 – Aug 2017). Local urban coyotes are relying predominately on natural foods, with an increase in mammalian prey in the wet season and an increase in vegetation and insect consumption in the dry season. Anthropogenic items, food and food related inedible items, appeared in 14% of scats overall, with no significant seasonal change. Cat remains were found in 14% of scat samples, but only triggered cameras once throughout the 2,857 camera nights of the study. Coyote activity was centered on nights in both seasons, with greater dawn activity in the dry season, indicating an avoidance of peak human activity. This reliance on natural foods and avoidance of human activity reduces the opportunities for human-wildlife conflicts in our local area.
Dunfey-Ball, Kyle Robert. "Moose Density, Habitat, and Winter Tick Epizootics in a Changing Climate." Thesis, University of New Hampshire, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10262491.
Full textUnregulated hunting and habitat loss led to a near extirpation of moose (Alces alces) in New Hampshire in the 1800s. After state protection in 1901, the estimated population increased slowly to ∼500 moose in 1977, then increased rapidly in the next 2 decades to ∼7500 following an increase in browse habitat created by spruce budworm (Choristoneura fumiferana ) and related timber salvage operations, and then halved from 1998-2016 despite highly available optimal habitat. The declining population was partially related to the specific management objective to reduce moose-vehicle collisions, and a possible change in deer hunter and moose behavior that influence population estimates. But given the substantial decline in productivity and condition of cows, and frequent episodes of high calf mortality in April, the primary cause of decline was presumed to be is an increase in winter tick abundance.
This study examined the relationships among moose density, optimal habitat, weather/ground conditions, winter tick abundance, and natal dispersal in northern New England. Comparing movement data from the previous (2002-2006) and current (2014-2016) productivity studies in New Hampshire and Maine, the distance of natal dispersal, home and core range size, and home and core range overlap did not significantly (P > 0.05) change despite an increase in optimal habitat and a decrease in moose density.
Geographic changes in tick abundance were related to an interaction between moose density, and the onset and length of winter. Annual changes in tick abundance in northern New Hampshire are driven by desiccating late summer conditions, as well as the length of the fall questing season. Lower precipitation (6.4 cm) and higher minimum temperatures (9.8 °C) specifically concentrated during larval quiescence from mid-August through mid-September reduces winter tick abundance and the likelihood of an epizootic event. The onset of winter, defined by the first snowfall event (> 2.54 cm), influenced the length of the questing season relative to the date of long-term first snowfall event (14 November). In the epizootic region, average winter tick abundance on moose harvested in mid-October indicated a threshold of 36.9 ticks, above which an epizootic is like to occur unless an early snowfall event shortened the fall questing season. Optimal habitat created by forest harvesting was produced at an annual rate of 1.3% (1999-2011) and is not considered limiting in northern New Hampshire, but likely concentrates moose density locally (∼4 moose/km2) facilitating the exchange of winter ticks. In northern New Hampshire, snow cover late into April did not reduce tick abundance in the following year and cold temperatures (< 17 °C) that induced replete adult female mortality are extremely rare in April.
Given a continuation of warming climate and conservative moose harvest weather conditions and high local moose densities will continue to favor the life cycle of winter ticks, increasing the frequency of winter tick epizootics and shift the epizootic region slowly northward. Conversely, temporary reduction of moose density may substantially reduce parasite abundance and support a healthier and more productive moose population.
Donovan, Kaley Jean. "Songbird Habitat Models on the Landscape-scale in Southeast Ohio’s Public Forestland." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1480611818902431.
Full textWalker, L. M. "Water table management in wildlife habitats." Thesis, Cranfield University, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.341493.
Full textBooks on the topic "Wildlife and habitat management"
Wildlife habitat management of wetlands. Malabar, Fla: Krieger Pub., 1998.
Find full textUnited States. Bureau of Land Management. Farmington District Office, ed. Rattlesnake Canyon habitat management plan. Farmington, N.M: U.S. Dept. of the Interior, Bureau of Land Management, Farmington District Office, 1997.
Find full textUnited States. Bureau of Land Management. Big game habitat management. Denver, CO]: U.S. Dept. of the Interior, Bureau of Land Management, 1993.
Find full textLamb, G. William, Frank Rowley, William H. Radtkey, Eugene A. Dahlem, Sidney Slone, Richard R. Olendorff, and Edward F. Spang. Desert tortoise habitat management. Washington, D.C: U.S. Department of the Interior, Bureau of Land Management, Division of Wildlife and Fisheries, 1988.
Find full textCreighton, Janean H. Wildlife ecology and forest habitat. [Pullman]: Cooperative Extension, Washington State University, 1997.
Find full textBig game habitat management. [Denver, CO]: U.S. Dept. of the Interior, Bureau of Land Management, 1993.
Find full textOntario. Ministry of Agriculture, Food and Rural Affairs. Best management practices: Fish and wildlife habitat management. Toronto: Ontario Federation of Agriculture, 1996.
Find full textRule, Michael. Turnbull National Wildlife Refuge: Habitat management plan. Cheney, WA (26010 South Smith Road, Cheney): The Service, 1999.
Find full text), Kulm Wetland Management District (N D. Draft Kulm Wetland Management District habitat management plan: Kulm Wetland Management District, North Dakota. Kulm, North Dakota: Kulm Wetland Management District, 2014.
Find full textKwasniak, Arlene J. Wildlife management beyond wildlife laws. Calgary, Alta: Canadian Institute of Resources Law, University of Calgary, 2007.
Find full textBook chapters on the topic "Wildlife and habitat management"
Gordon, Sean N., Heather McPherson, Lowell Dickson, Joshua Halofsky, Chris Snyder, and Angus W. Brodie. "Wildlife Habitat Management." In Making Transparent Environmental Management Decisions, 227–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-32000-2_10.
Full textAwadhiya. "Habitat management." In Principles of Wildlife Conservation, 291–318. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003037545-9.
Full textKie, John G., and Jack Ward Thomas. "Rangeland vegetation as wildlife habitat." In Vegetation science applications for rangeland analysis and management, 585–605. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-3085-8_23.
Full textJoost, Richard E. "Conservation: Erosion Control, Soil Management and Remediation, and Effects on Wildlife Habitat." In Agronomy Monographs, 489–507. Madison, WI, USA: American Society of Agronomy, Crop Science Society of America, Soil Science Society of America, 2015. http://dx.doi.org/10.2134/agronmonogr53.c28.
Full textWardell-Johnson, Grant, and Owen Nichols. "Forest wildlife and habitat management in southwestern Australia: knowledge, research and direction." In Conservation of Australia’s Forest Fauna, 161–92. P.O. Box 20, Mosman NSW 2088, Australia: Royal Zoological Society of New South Wales, 1991. http://dx.doi.org/10.7882/rzsnsw.1991.015.
Full textNeave, H. M., and T. W. Norton. "Integrated management of forest wildlife: comments on new ways to research habitat." In Conservation of Australia’s Forest Fauna, 229–36. P.O. Box 20, Mosman NSW 2088, Australia: Royal Zoological Society of New South Wales, 1991. http://dx.doi.org/10.7882/rzsnsw.1991.019.
Full textMelentyev, Vladimir V., and Vladimir I. Chernook. "Multi-spectral Satellite-Airborne Management of Ice Form Marine Mammals and Their Habitat in the Presence of Climate Change Using a “Hot Spots” Approach." In Spatial Complexity, Informatics, and Wildlife Conservation, 409–27. Tokyo: Springer Japan, 2010. http://dx.doi.org/10.1007/978-4-431-87771-4_22.
Full textHobbs, N. Thompson, and David M. Theobald. "Effects of Land-Use Change on Wildlife Habitat: Applying Ecological Principles and Guidelines in the Western United States." In Applying Ecological Principles to Land Management, 37–53. New York, NY: Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4613-0099-1_2.
Full text"Riparian Area Management." In Wildlife Habitat Management, 143–58. CRC Press, 2007. http://dx.doi.org/10.1201/9781420007633-12.
Full text"Dead Wood Management." In Wildlife Habitat Management, 159–78. CRC Press, 2007. http://dx.doi.org/10.1201/9781420007633-13.
Full textConference papers on the topic "Wildlife and habitat management"
Hendrickson, Jon S., and Aaron W. Buesing. "Floodplain Restoration for Fish and Wildlife Habitat on the Upper Mississippi River." In Joint Conference on Water Resource Engineering and Water Resources Planning and Management 2000. Reston, VA: American Society of Civil Engineers, 2000. http://dx.doi.org/10.1061/40517(2000)48.
Full textHuber, Jeffrey E. "Salty Urbanism: Toward an Adaptive Coastal Design Framework to Address Rising Seas and Climate Change." In AIA/ACSA Intersections Conference. ACSA Press, 2020. http://dx.doi.org/10.35483/acsa.aia.inter.20.6.
Full textGündel, Hande, and Ayşe Kalaycı Önaç. "The Contribution of Riparian Zone on Urban Ecosystems through Climate Change Urban Adaptation Process." In International Students Science Congress. Izmir International Guest Student Association, 2021. http://dx.doi.org/10.52460/issc.2021.049.
Full textKresnye, K. Cassie, and Patrick C. Shih. "Smart Habitat: A Wildlife Rehabilitation System." In CHI '20: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3334480.3383093.
Full textEngstrom, Carol J., and Guy M. Goulet. "Husky Moose Mountain Pipeline: A Case Study of Planning, Environmental Assessment and Construction." In 2000 3rd International Pipeline Conference. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/ipc2000-140.
Full textLevey, James R., Patrick Vasicek, Herb Fricke, Jon Archer, and Robert F. Henry. "Salt Pond SF2 Restoration, Wildlife, and Habitat Protection." In 12th Triannual International Conference on Ports. Reston, VA: American Society of Civil Engineers, 2010. http://dx.doi.org/10.1061/41098(368)54.
Full textTovar, A., T. Friesen, K. Ferens, and B. McLeod. "A DTN wireless sensor network for wildlife habitat monitoring." In 2010 IEEE 23rd Canadian Conference on Electrical and Computer Engineering - CCECE. IEEE, 2010. http://dx.doi.org/10.1109/ccece.2010.5575142.
Full textSmith, Mark D., and Loren W. Burger, Jr. "Multiresolution approach to wildlife habitat modeling using remotely sensed imagery." In Optical Science and Technology, SPIE's 48th Annual Meeting. SPIE, 2004. http://dx.doi.org/10.1117/12.506409.
Full text"Promoting Wildlife Habitat and Conservation Partnerships Through State-Funded Grant Programs." In Eleventh American Woodcock Symposium. University of Minnesota Libraries Publishing, 2019. http://dx.doi.org/10.24926/aws.0114.
Full textElliott, Joshua C., Laurie Olin, Madi Novak, Phil Wiescher, Curtis Riley, and Michael Reiter. "Habitat Restoration and Environmental Remediation Success at a National Wildlife Refuge Wetland." In 14th Triennial International Conference. Reston, VA: American Society of Civil Engineers, 2016. http://dx.doi.org/10.1061/9780784479919.075.
Full textReports on the topic "Wildlife and habitat management"
Knighton, M. Dean. Water impoundments for wildlife: a habitat management workshop. St. Paul, MN: U.S. Department of Agriculture, Forest Service, North Central Forest Experiment Station, 1985. http://dx.doi.org/10.2737/nc-gtr-100.
Full textDouglas, Thomas, M. Jorgenson, Hélène Genet, Bruce Marcot, and Patricia Nelsen. Interior Alaska DoD training land wildlife habitat vulnerability to permafrost thaw, an altered fire regime, and hydrologic changes. Engineer Research and Development Center (U.S.), February 2022. http://dx.doi.org/10.21079/11681/43146.
Full textGlass, Ronald J. Habitat improvement costs on state-owned wildlife management areas in New York. Broomall, PA: U.S. Department of Agriculture, Forest Service, Northeastern Forest Experimental Station, 1989. http://dx.doi.org/10.2737/ne-rp-621.
Full textGlass, Ronald J. Habitat improvement costs on state-owned wildlife management areas in New York. Broomall, PA: U.S. Department of Agriculture, Forest Service, Northeastern Forest Experimental Station, 1989. http://dx.doi.org/10.2737/ne-rp-621.
Full textDeGraaf, Richard M., Mariko Yamasaki, William B. Leak, and John W. Lanier. New England wildlife: management forested habitats. Radnor, PA: U.S. Department of Agriculture, Forest Service, Northeastern Forest Experimental Station, 1992. http://dx.doi.org/10.2737/ne-gtr-144.
Full textDeGraaf, Richard M., Mariko Yamasaki, William B. Leak, and John W. Lanier. New England wildlife: management forested habitats. Radnor, PA: U.S. Department of Agriculture, Forest Service, Northeastern Forest Experimental Station, 1992. http://dx.doi.org/10.2737/ne-gtr-144.
Full textAshley, Paul. Red River Wildlife Management Area HEP Report, Habitat Evaluation Procedures, Technical Report 2004. Office of Scientific and Technical Information (OSTI), November 2004. http://dx.doi.org/10.2172/941548.
Full textYde, Chis. Kootenai River Wildlife Habitat Enhancement Project : Long-term Bighorn Sheep/Mule Deer Winter and Spring Habitat Improvement Project : Wildlife Mitigation Project, Libby Dam, Montana : Management Plan. Office of Scientific and Technical Information (OSTI), June 1990. http://dx.doi.org/10.2172/6823352.
Full textRaedeke, Kenneth, and Dorothy Raedeke. Habitat Evaluation Procedures (HEP) Report; Yakama Nation Wildlife Management Areas, Technical Report 1999-2000. Office of Scientific and Technical Information (OSTI), June 2000. http://dx.doi.org/10.2172/941580.
Full textKozusko, Shana. Habitat Evaluation Procedures (HEP) Report; Precious Lands Wildlife Management Area, Technical Report 2000-2003. Office of Scientific and Technical Information (OSTI), December 2003. http://dx.doi.org/10.2172/942120.
Full text