A Framework for Monitoring the Effectiveness of Habitat Management for Mule Deer DRAFT Version 1.1 Prepared for: Ministry of Forest and Range Forest Practices Branch 272 Fisgard Street Victoria, BC V8W 1R8 Prepared by: Steven F. Wilson, R.P. Bio. EcoLogic Research 406 Hemlock Avenue, Gabriola Island, BC V0R 1X1 & Christoph Steeger, R.P. Bio. Pandion Ecological Research Ltd. 532 Park Street, Nelson, BC V1L 2G9 July 2006Executive Summary Mule deer (Odocoileus hemionus) are an important feature of British Columbia’s natural heritage, providing wildlife viewing and hunting opportunities that exceed that of all other ungulate species Draft Effectiveness Monitoring Framework for Mule Deer Version 1 March 2006 found in the Province. As a result, habitat management for mule deer in forested landscapes is an important consideration in forest harvesting strategies. The Province of BC recognizes the importance of forest cover to mule deer populations and, as a result, allows for the establishment of Ungulate Winter Ranges for mule deer under Section 12 of the Government Actions Regulation of the Forest and Range Practices Act (FRPA). We developed a series of indicators to measure the effectiveness of habitat management for mule deer under the Forest and Ranges Practices Act. Recommended effectiveness indicators address a number of key monitoring questions and are stratified by the resources required to measure. The indicators focus on the proportion of suitable habitat captured under management, forest cover characteristics, forage quality and availability, snow depth and consolidation, and evidence of sustained winter use. Although the recommended indicators address all key monitoring questions, not all questions are addressed comprehensively. Regional and subregional population objectives for mule deer are rarely explicit, and in general, the required distribution and abundance of Ungulate Winter Ranges required to meet population objectives is unknown. Monitoring the effectiveness of habitat management for mule deer should involve: 1) establishing a regional or subregional population objective; 2) implementing procedures to collect, warehouse and analyze routine indicator data; 3) allocating resources to collect extensive indicator data in areas of greatest management concern; and, 4) collaborating with other agencies to collect intensive indicator data and to address knowledge gaps. Table of Contents Excecutive Summary .......................................................................................................................................... 2 Table of Contents ................................................................................................................................................ 3 Acknowledgements ............................................................................................................................................. 3 Introduction ......................................................................................................................................................... 4 Objectives ........................................................................................................................................................... 4 Approach............................................................................................................................................................. 4 Conservation Status & Situation Analysis ........................................................................................................... 4 Conservation Status & Demography ............................................................................................... 4 Population Threats ........................................................................................................................... 5 Wildlife Management ...................................................................................................................... 6 Biology and Life History ...................................................................................................................................... 6 Habitat Management under the Forest & Range Practice Act ............................................................................. 6 Key Effectiveness Monitoring Questions ............................................................................................................. 6 Small Scale (Individual Ungulate Winter Ranges) ................................................................... 6 Medium Scale (Watershed or Management Unit) ..................................................................... 6 Large Scale (Subregional or Regional Populations) ................................................................. 6 Pandion Ecological Research Ltd. Page 214 Draft Effectiveness Monitoring Framework for Mule Deer Version 1 March 2006 Effectiveness Indicators ...................................................................................................................................... 6 Knowledge Gaps ................................................................................................................................................. 8 Management Recommendations ........................................................................................................................ 8 Literature Cited ................................................................................................................................................. 10 List of Tables Table 1. Recommended indicators by level of intensity, desired conditions and monitoring frequency for assessing the effectiveness of Ungulate Winter Ranges (UWR) established for mule deer in BC. ........................................................................................................................ 10 Table 2. Knowlege gaps related to mule deer ecology that are relevant to the key effectiveness monitoring questions. ................................................................................................................ 11 List of Figures Figure 1. Distribution and abundance of the three subspecies of mule deer in British Columbia, from Shackleton (1999). .............................................................................................................. 6 Acknowledgements We thank Wayne Erickson (BC Ministry of Forests, Victoria) for administering this project and Dennis Hamilton (Nanuq Consulting Ltd., Nelson) for review and input.Introduction Mule deer (Odocoileus hemionus) are an important feature of British Columbia’s (BC) natural heritage, providing wildlife viewing and hunting opportunities that exceed that of all other ungulate species found in the Province (WLAP 2003). As a result, habitat management for mule deer in forested landscapes is an important consideration in forest harvesting strategies. Winter is known as a critical period for mule deer, particularly in years when snow cover is deep and temperatures are well below normal for extended periods. Deep snow affects mobility and access to forage, which in turn affects energy balance (Ungulate Winter Range Technical Advisory Team 2005). As a result, malnutrition is a principal mortality factor in winter and can result in widespread die-offs in severe conditions (e.g., Bishop et al. 2005). To escape deep snow, mule deer seek out areas where snow is shallow – often under dense forest canopies (e.g., Armleder et al 1994). The Province of BC recognizes the importance of forest cover to mule deer populations and, as a result, allows for the establishment of Ungulate Winter Ranges for mule deer under Section 12 of the Government Actions Regulation of the Forest and Range Practices Act (FRPA). We developed a series of indicators to measure the effectiveness of habitat management for mule deer under the Forest and Ranges Practices Act (FRPA), based on a series of key monitoring questions. These indicators can be used to establish a programme to monitoring the effectiveness of habitat management in an adaptive management context. Pandion Ecological Research Ltd. Page 314 Draft Effectiveness Monitoring Framework for Mule Deer Version 1 March 2006 Objectives The specific objectives of this report were to: 1. Review existing information related to the conservation status and demography of mule deer; 2. Assemble information on natural and human-related threats that have the potential to affect the viability of mule deer populations; 3. Outline current management practices for mule deer; 4. Describe life history requisites of mule deer in relation to management tools available to protect their habitats; 5. Review methods available to monitor mule deer habitat and populations; 6. Develop indicators to monitor the effectiveness of habitat managed for mule deer under FRPA; and, 7. Identify knowledge and management gaps in BC’s strategy to sustain mule deer populations. Approach Our approach to developing indicators to monitor the effectiveness of habitat management for mule deer involved the following steps: 1. Identify limiting habitat and habitat attributes required to fulfil critical life requisites of mule deer; 2. Outline mechanisms for managing important habitats under FRPA; 3. Identify threats to mountain mule deer habitat and populations; 4. Develop key monitoring questions at small, medium and large spatial scales; 5. Summarize population and habitat monitoring methods; 6. Propose indicators based on a series of desirable criteria that address: a) different levels of monitoring intensity; b) desired outcomes or results (in relation to a stated management goal); and, c) required frequency of measurement; 7. Identify of knowledge gaps; and, 8. Develop recommendations for implementation. Conservation Status & Situation Analysis Conservation Status & Demography Three subspecies of mule deer are recognized in BC. Rocky Mountain mule deer (Odocoileus hemionus hemionus) are the most widespread and are found throughout the southern half of the Province east of the Coast (and in the south, Cascade) Mountains, and well as the Peace River district (Figure 1; Shackleton 1999). Two subspecies are associated with coastal BC: Columbian black-tailed deer (Odocoileus hemionus columbianus), which range throughout Vancouver Island, smaller coastal islands and the mainland coast north to approximately Rivers Inlet; and Sitka blacktailed deer (Odocoileus hemionus sitkensis), which range farther north, including the Queen Charlotte Islands, where they were introduced. The black-tailed deer subspecies hybridize along the respective margins of their range. Pandion Ecological Research Ltd. Page 414 Draft Effectiveness Monitoring Framework for Mule Deer Version 1 March 2006 Population Threats Mule deer are the most common ungulate in BC, numbering in the hundreds of thousands of animals. Introduced Sitka black-tailed deer on the Queen Charlotte Islands are considered pests. As with all ungulates, predation is probably the most significant mortality factor affecting mule deer throughout their range. Predators rarely pose serious threats to prey populations, although some researchers have speculated that increasing populations of white-tailed deer in areas previously occupied exclusively by mule deer may be “subsidizing” higher predator numbers (particularly cougars, Puma concolor) that are in turn affecting the viability of some local mule deer populations (Robinson et al. 2002). Diseases do not appear to be a major threat to mule deer populations. Although susceptible to epizootic haemorrhagic disease, there have been no reports of outbreaks in BC (Shackleton 1999). Severe winter conditions likely constitute the most significant threat to mule deer populations (e.g., Bishop et al. 2005). The effects of severe winters are likely worse when habitats have been modified to remove important attributes critical for mule deer during severe winter conditions (Ungulate Winter Range Technical Advisory Team 2005). The winter of 1996-7 was the most recent winter that was sufficiently severe to significantly affect mule deer populations (Wilson and Morley 2005), although evidence in some regions suggest that populations were already in decline, perhaps due to increasing predation (G. Woods, pers. comm.). Mild winters since have allowed mule deer populations in many areas to recover. Black-tailed deer populations in many parts of Vancouver Island are still considered to be lower than desirable (K. Brunt, pers. comm.) and mule deer have not recovered as rapidly as white-tailed deer populations in the Kootenay region (G. Woods, pers. comm.). Wildlife Management Mule deer are an important wildlife species from a socio-economic perspective. In many areas of the Province (e.g., Vancouver Island) mule deer have readily adapted to human presence and some of the highest densities now occur near human settlements (Shackleton 1999). As a result they are an important species for wildlife viewing. Pandion Ecological Research Ltd. Page 514 Draft Effectiveness Monitoring Framework for Mule Deer Version 1 March 2006 Figure 1. Distribution and abundance of the three subspecies of mule deer in British Columbia, from Shackleton (1999). Mule deer have long been a focus of habitat enhancement activities by government agencies and public interest groups. For example, the Habitat Conservation Trust Fund alone spent $140 000 on enhancement projects for mule deer and other ungulates in 2005-6 in the southern interior region. Demand for mule deer hunting opportunities in BC exceeds that of all other ungulate species. Of the 85 000 resident hunters in 2002-3, over 63 000 purchased mule deer species tags, resulting in direct revenue to the Province of $950 000 for the tags alone. Harvest in 2002 was estimated at more than 16 000 – more than any other ungulate species (WLAP 2003). Most mule deer hunting in BC is by residents; non-residents harvested only 170 mule deer in 2002-3. Regionally, the largest harvests of mule deer occur in the Cariboo, Thompson and Okanagan, respectively (WLAP 2003). Habitat Use Mule deer are an adaptable species that inhabit a variety of habitats in BC. In general, Rocky Mountain mule deer prefer interior Douglas-fir (Pseudotsuga menziesii var. glauca) and Ponderosa pine (Pinus ponderosa) forest as well as parkland habitats (Shackleton 1999). In contrast, both Pandion Ecological Research Ltd. Page 614 Draft Effectiveness Monitoring Framework for Mule Deer Version 1 March 2006 Columbian and Sitka black-tailed deer inhabit dense coastal rainforests (Shackleton 1999). As generalist browsers, mule deer are generally not food-limited during summer-fall and feed on a variety of different shrubs and forbs, depending on their availability (Shackleton 1999). The habitat use of mule deer changes significantly as snow deepens during winter and begins to restrict mobility. In general, ungulates do not tolerate snow depths greater than chest height and mobility is affected when snow is knee-deep (Kelsall and Prescott 1971). Serrouya and D'Eon (2003) found that deer avoided snow depths >50 cm deep near Revelstoke and Woods (1984) found that white-tailed deer (Odocoileus virginianus) did not appear to select for specific habitats in when snow was <40 cm deep in the Pend D’Oreille valley of the southern interior. In addition to snow depth, consolidation and sinking depth are important factors influencing mobility (Verne 1968). In cold, dry snow conditions, snow depths likely approximate sinking depths. Conversely, relatively wetter, warmer snow conditions will reduce sinking depths (Bunnell et al. 1990). Mule deer winter range characteristics vary throughout the Province, but in general animals move varying distances to areas where the local snow pack is most shallow – usually warm aspect slopes at low elevations. The extent of these areas varies broadly with biogeoclimatic characteristics (Ungulate Winter Range Technical Advisory Team 2005). In shallow snow pack zones, winter range areas can be large and extensive, while in more rugged areas dominated by deep snow packs, winter ranges are generally small and spatially restricted. Energy balance is the key to mule deer survival in winter; therefore, the highest quality winter ranges are those that not only provide the lowest mobility costs but also provide access to abundant, preferred forage. The rooted forage accessible to mule deer is largely a function of snow depth: where snow is shallow, forage is generally more accessible. The forest canopy can intercept snow and reduce snow depths on the ground, which in turns increases access to forage. In areas dominated by very shallow snow packs (e.g., the bunchgrass biogeoclimatic zone), little forest cover is required to moderate snow, while in areas dominated by deep snow (e.g., coastal western hemlock and interior cedar hemlock biogeoclimatic zones), extensive forest cover is required to access to rooted forage (Ungulate Winter Range Technical Advisory Team 2005). Forest overstorey is critically important during severe winters (e.g., Pauley et al. 1993, Doerr et al. 2005). As snow depths increase, the proportion of rooted forage in mule deer diets decreases and is replaced by more accessible forage, such as cedar buds and litterfall in coastal areas (Hanley and McKendrick 1985) and Douglas-fir needles and litterfall in the southern interior (Waterhouse et al. 1993). The ability of the forest overstorey to intercept snow increases with canopy closure, although the relationship is influenced by a number of variables (Bunnell et al. 1985, McNay 1985, Kirchoff and Schoen 1987, D’Eon 2004). Forest age influences snow interception and also influences the potential of the understorey to produce forage. Older-aged stands with multi-storied canopies are associated with higher forage values than younger, even aged stands (Ungulate Winter Range Technical Advisory Team 2005). Older forests are also associated with more litterfall (Waterhouse et al. 1991). Columbian and Sitka black-tailed deer are smaller than Rocky Mountain mule deer (Shackelton 1999) and inhabit areas where deep and unconsolidated conditions are common. As a result, snow interception on winter ranges is even more critical for these subspecies than for Rocky Mountain mule deer (Nyberg and Janz 1990). Based on these and other results, The Ungulate Winter Range Technical Advisory Team (2005) recommended a range of forest cover objectives or winter ranges of the southern interior, from very limited snow interpretation cover in NDT 4 ecosystems to dense canopies with mature and old Pandion Ecological Research Ltd. Page 714 Draft Effectiveness Monitoring Framework for Mule Deer Version 1 March 2006 characteristics in deep snow zones of the southern interior. Similarly, Nyberg and Janz (1990) recommended objectives for coastal winter ranges that depended on snow zones. Spring is also a critical time for mule deer as they attempt to recover from the nutritional stress of winter. Early green-up areas that provide abundant, high quality forage near winter ranges are critically important (Ungulate Winter Range Technical Advisory Team 2005). Overview of Inventory and Monitoring Methods Monitoring habitat conditions on ungulate winter ranges is typically restricted to office procedures involving geographic information systems. Leading species characteristics and age class information are readily available in forest cover databases and provide sufficient information for coarse-level interpretation of winter range conditions. Ground-based assessments of habitat capability, suitability and use by mule deer can be accomplished by developing Wildlife-Habitat Ratings Models (RISC 1999). Resulting models can be mapped where Terrestrial Ecosystem Mapping or Predictive Ecosystem Mapping is available and structural stage can be estimated. Habitat use by mule deer has been investigated most commonly using winter track surveys (Armleder et al. 1998, D’Eon 2001, Hebert and Halko 2001, D’Eon et al. 2006). Pellet counts have been used successfully to quantify winter-use by white-tailed deer (Boulanger et al. 2000). Habitat use has also been determined via radio telemetry studies (e.g., Kremsater and Bunnell 1992). BC has developed standards for both aerial (RISC 2002) and ground-based inventory methods (RISC 1998). Aerial surveys for mule deer are not recommended except in the Boreal Plains ecoprovince (BWBS biogeoclimatic zone), where mule deer winter in areas of sparse coniferous and deciduous cover and sightability has been demonstrated to be close to 100%, based on markresight methods (RISC 2002). Elsewhere in the Province, sightability it too low to use aerial survey methods reliably. Ground-based inventory methods used to estimate relative abundance of mule deer include winter track count surveys (D’Eon et al. 2006), pellet counts and spotlight surveys (RISC 1998). Annual spotlight surveys have been used to index black-tailed deer populations on Vancouver Island for >15 years (K. Brunt, pers. comm.). Absolute abundance can be estimated using mark-resight methods where marked (e.g., radio-collared) animals are available (RISC 1998). Total counts via ground transects have also been suggested for estimating absolute abundance of black-tailed deer on small coastal islands (RISC 1998). Habitat Management under the Forest & Range Practice Act Habitat management for mule deer under the FRPA is restricted to the establishment of Ungulate Winter Ranges under Section 12 of the Government Actions Regulation. Ungulate Winter Ranges are areas established to ensure the over-winter survival of mule deer, recognizing that this is a critical season for ungulates due to nutritional deprivation and high energy expenditure related to thermoregulation and mobility in snow. As of 31 March 2006 there were 35 approved winter ranges for all ungulate species covering >2.6 million ha in BC. Associated with each ungulate winter range plan are approved objectives or General Wildlife Measures that outline forestry management intended to sustain critical habitat characteristics. These objectives and General Wildlife Measured differ among plans due to different management approaches and biological requirements in different parts of the Province. Monitoring compliance with the legal objectives in ungulate winter range plans is an important aspect of ungulate winter range management; however, beyond compliance, there is a need to Pandion Ecological Research Ltd. Page 814 Draft Effectiveness Monitoring Framework for Mule Deer Version 1 March 2006 investigate whether ungulate winter ranges are meeting the intent of the FRPA. Effectiveness monitoring assesses whether the outcomes of management are consistent with the future desired conditions that the legal objectives were designed to achieve. Key Effectiveness Monitoring Questions The following are proposed key monitoring questions related to assessing the effectiveness of ungulate winter ranges established for mule deer under the FRPA. Small Scale (Individual Ungulate Winter Ranges) 1. Does the winter range provide the habitat elements required to fulfil the life requisites of wintering mule deer? 2. Is the winter range receiving sustained use by mule deer? 3. Is human-related disturbance affecting use of the winter range? Medium Scale (Watershed or Management Unit) 1. Are there barriers outside of the Ungulate Winter Range that prevent or reduce the potential use of the range? 2. Is the distribution and abundance of Ungulate Winter Ranges established for mule deer sufficient to ensure over-winter survival in typical and severe winters? Large Scale (Subregional or Regional Populations) 1. Is the distribution and abundance of Ungulate Winter Ranges established for mule deer sufficient to sustain the regional population? Effectiveness Indicators Indicators can measure the function (e.g., snow depth, forage accessibility), structure (e.g., forest canopy characteristics) or use (e.g., direct inventory) of Ungulate Winter Ranges. Indicators should be: Measurable (accurately and precisely); Cost-effective to monitor; and, Sensitive to management or stressor change. Different indicators require different levels of resources to measure and monitor. Indicators can be classified as: Routine: Generally measured through office procedures from data collected for other purposes (e.g., map interpretation); Extensive: Requires low-intensity qualitative or quantitative field assessments (e.g., blowdown assessments); and, Intensive: Requires detailed, quantitative fieldwork (e.g., population inventory). Assessing the effectiveness of habitat management at medium and large spatial scales also requires interpretation in relation to broad management objectives: Population maintenance: Maintain the current approximate pattern of habitat occupancy (medium scale) and abundance and distribution (large scale) of mule deer. Use currently occupied habitat and indices of abundance as the basis for defining desired conditions. Pandion Ecological Research Ltd. Page 914 Draft Effectiveness Monitoring Framework for Mule Deer Version 1 March 2006 Population recovery: Increase rates of occupancy of suitable habitat and increase the abundance and possibly the regional distribution of mule deer. Use habitat capability and recovery objectives related to abundance and distribution as the basis for defining desired conditions. Broader management objectives will differ in space and time throughout BC, depending on a variety of socio-economic and biological factors. Recommended indicators are presented in Table 1 and general recommended methods for collecting indicator data are outlined in Table 2. Table 1. Recommended indicators by level of intensity, desired conditions and monitoring frequency for assessing the effectiveness of Ungulate Winter Ranges (UWR) established for mule deer in BC. Minimum Monitoring Frequency Once when winter ranges are being legally established Level of Intensity Routine Desired Condition/Result All suitable winter ranges under management Forest cover characteristics Extensive Every 5 years and following any harvesting Forage availability Extensive Characteristics consistent with objectives when winter ranges were established (will vary depending on subspecies and geographic area. Abundant and available preferred rooted forage and litterfall Snow depth and consolidation Intensive Snow depths <25 cm in typical winters, <50 cm in severe winters Sufficiently frequent to capture variation in winter conditions Evidence of sustained winter use by mule deer Extensive Evidence of browse, presence of pellet groups, tracks, direct observations Every 3 years Indicator Proportion of area in established Ungulate Winter Range relative to available suitable winter range habitat Pandion Ecological Research Ltd. Every 5 years Rationale and Comments Additional habitat will be required if population recovery rather than maintenance is an objective. In some areas significant winter range is also found outside the Crown Forest Land Base on private land. Its contribution and security should be considered in the examination of this indicator. Aerial or ground-based assessments are required to assess results of any allowable harvest treatments, blowdown and forest health issues. Requires qualitative ground assessments. Forage availability is influenced by a variety of site characteristics (e.g., soil and moisture regime, forest canopy characteristics, slope and aspect, snowfall regime. Quantitative forage assessments could also be considered. The importance of winter ranges increases with winter severity; therefore, snow conditions should be assessed during average and severe winter conditions. General qualitative assessments can be made from the air or on the ground, but quantitative assessments, requiring ground reconnaissance (e.g., actual snow depth and sinking depth measures), are recommended. Requires aerial surveys (where forest cover is sparse) or ground reconnaissance. Page 1014 Draft Effectiveness Monitoring Framework for Mule Deer Version 1 March 2006 Table 2. Methods available to collect data related to recommended indicators for assessing the effectiveness of Ungulate Winter Ranges (UWR) established for mule deer in BC. Indicator Proportion of area in established Ungulate Winter Range relative to available suitable winter range habitat Forest cover characteristics Forage availability Snow depth and consolidation Evidence of sustained winter use by mule deer General Methods Maps of suitable winter range based on empirical (e.g., Mowat et al. 2002) or expert-based (e.g., Wilson and Hamilton 2002) habitat models are available for many areas of the Province. Areas of suitable habitat captured in UWR can be compared to the distribution of suitable habitat on a landscape unit basis using GIS office procedures. Forest cover characteristics can be assessed using approved standard methods (MELP and MOF 1998). Forage availability can be assessed using approved standard methods (MELP and MOF 1998). No standards currently exist for measuring snow depth and consolidation; however, methods have been proposed by Wilson (2006) based on MSRM (2002). Stand level assessments of use by mule deer can be measured using approved standard methods (RISC 1998, 2002, D’Eon et al. 2006; see Inventory and Monitoring Methods above). Knowledge Gaps Mule deer are one the most-studied wildlife species in BC and, in fact, North America. However, there are still knowledge gaps related to habitat management that are best addressed through adaptive management trials (Table 3). Table 3. Knowledge gaps related to mule deer ecology that are relevant to the key effectiveness monitoring questions. Monitoring Question Does the winter range provide the habitat elements required to fulfil the life requisites of wintering mule deer? Is the winter range receiving sustained use by mule deer? Is human-related disturbance affecting use of the winter range? Knowledge Gap None None Tolerance of mule deer to human-related activities is variable; however, evidence of sustained use addresses the monitoring question adequately Are there barriers outside of the Ungulate Winter Range that prevent or reduce the potential use of the range? The extent to which clearcuts and associated slash (and deep snow in winter), roads, immature forests and other landscape modifications create barriers to mule deer movements is not clearly understood Is the distribution and abundance of Ungulate Winter Ranges established for mule deer sufficient to ensure overwinter survival in typical and severe winters? The distribution and abundance of winter ranges required to sustain local or regional populations through moderate and severe winters is generally unknown. In addition, regional population objectives are rarely articulated. Is the distribution and abundance of Ungulate Winter Ranges established for mule deer sufficient to sustain the regional population? Pandion Ecological Research Ltd. Page 1114 Draft Effectiveness Monitoring Framework for Mule Deer Version 1 March 2006 Management Recommendations We recommend five indicators to monitor the effectiveness of habitat management within Ungulate Winter Ranges legally established under the FRPA. These indicators address small-, medium- and large-scale monitor questions, and standard and/or well-developed methods for data collection are available. Considerable differences exist in the amount of time and resources required to monitor the proposed indicators and in the strength and conclusiveness of evidence they may provide related to the effectiveness of habitat management. As a result, adaptive management based on monitoring outcomes will require an assessment of general trends among the different indicators. Monitoring the effectiveness of Ungulate Winter Range management for mule deer should involve the following components: 1. Establishing a regional or subregional population objective; 2. Implementing procedures to collect, warehouse and analyze routine indicator data; 3. Allocating resources to collect extensive indicator data in areas of greatest management concern; and, 4. Collaborating with other agencies and researchers to collect intensive indicator data and to address knowledge gaps. Literature Cited Armleder, H. M., M. J. Waterhouse, D. G. Keisher, and R. J. Dawson. 1994. Winter habitat use by mule deer in the central interior of British Columbia. Canadian Journal of Zoology 72:17211725. Armleder, H. M., M. J. Waterhouse, R. J. Dawson, and K. E. Iverson. 1998. Mule deer response to low-volume partial-cutting on winter ranges in Central Interior British Columbia. BC Ministry of Forests Research Report No. 16. Bishop, C. J., J. W. Unsworth, and E. O. Garton. 2005. Mule deer survival among adjacent populations in southwest Idaho. Journal of Wildlife Management 69:311-321. Boulanger, J. G., K. G. Poole, J. Gwilliam, G. P. Woods, J. Krebs, and I. Parfitt. 2000. Winter habitat selection by white-tailed deer in the Pend D’Oreille Valley, southeastern British Columbia. Columbia Basin Fish and Wildlife Compensation Program, BC Hydro and BC Ministry of Environment, Lands and Parks, Nelson, BC. Bunnell, F. L., R. S. McNay, and C. C. Shank. 1985. Trees and snow: the deposition of snow on the ground. BC Ministry of Forests Integrated Wildlife Intensive Forestry Research Report No. 17. Bunnell, F. L., K. L. Parker, R. S. McNay, and F. W. Hovey. 1990. Sinking depths of black-tailed deer in snow, and their indices. Canadian Journal of Zoology 68:917-922. D’Eon, R. G. 2001. Using snow-track surveys to determine deer winter distribution and habitat. Wildlife Society Bulletin 29:879-887. D’Eon, R. G. 2004. Snow depth as a function of canopy cover and other site attributes in a forested ungulate winter range in southeast British Columbia. BC Journal of Ecosystems and Management 3:2. D’Eon, R. G., S. F. Wilson, and D. Hamilton. 2006. Winter track count survey standards. Prepared for: BC Ministry of Environment, Resources Information Standards Committee, Victoria. Pandion Ecological Research Ltd. Page 1214 Draft Effectiveness Monitoring Framework for Mule Deer Version 1 March 2006 Doerr, J. G, E. J. Degayner, and G. Ith. 2005. Winter range habitat selection by Sitka black-tailed deer. Journal of Wildlife Management 69:322-331. Hanley, T. A., and J. D. McKendrick. 1985. Potential nutritional limitations for black-tailed deer in a spruce-hemlock forest, southeastern Alaska. Journal of Wildlife Management 49:103-114. Hebert, D., and R. Halko. 2001. 2000-2001 Boundary Forest District mule deer winter range project. Prepared for: Pope & Talbot Ltd., Midway, BC. Kelsall, J. P. and W. Prescott. 1971. Moose and deer behaviour in snow in Fundy National Park, New Brunswick. Canadian Wildlife Service Report Series No. 15. Kirchoff, M. D., and J. W. Schoen. 1987. Forest cover and snow: implications for deer habitat in south-east Alaska. Journal of Wildlife Management 51:28-33. Kremsater, L. L., and F. L. Bunnell. 1992. Testing responses to forest edges: the example of blacktailed deer. Canadian Journal of Zoology 70:2426-2435. McNay, R. S. 1985. Forest crowns, snow interception and management of black-tailed deer winter habitat. BC Ministry of Forests Integrated Wildlife Intensive Forestry Research Report No. 19. MELP and MOF (BC Ministry of Environment, Lands and Parks and BC Ministry of Forests). 1998. Field manual for describing terrestrial ecosystems. Land Management Handbook Number 25. Mowat, G. R. G. D’Eon, G. Woods, M. Panian, K. G. Poole, and R. Serrouya. 2002. West Kootenay ungulate winter range mapping. Prepared for: BC Ministry of Water, Land and Air Protection, Nelson. MSRM (BC Ministry of Sustainable Resource Management). 2002. Snow survey sampling guide. Aquatic Information Branch, Victoria. Nyberg, J. B., and D. W. Janz. 1990. Deer and elk habitats in coastal forests of southern British Columbia. BC Ministry of Forests and BC Ministy of Environment Special Report Series 5. Pauley, G. R., J. M. Peek, and P. Zager. 1993. Predicting white-tailed deer habitat use in northern Idaho. Journal of Wildlife Management 57:904-913. Robinson, H. S., R. B. Wielgus, and J. Gwilliam. 2002. Cougar predation and population growth of sympatric mule deer and white-tailed deer. Canadian Journal of Zoology. 80:556-568. Serrouya, R., and R. D. D’Eon, 2003. Deer and elk winter habitat selection and deer winter food habits in the northern Columbia Mountains, British Columbia. Prepared for: Bell Pole Company, Salmon Arm, BC. Shackleton, D. M. 1999. Hoofed mammals of British Columbia. Volume 3 mammals of British Columbia. Royal British Columbia Museum, Victoria, and UBC Press, Vancouver. RISC. 1998. Ground-based inventory methods for selected ungulates: moose, elk and deer. BC Ministry of Environment, Lands and Parks, Resources Information Standards Committee, Victoria. RISC. 1999. British Columbia Wildlife Habitat Ratings Standards. Version 2.0. BC Ministry of Environment, Lands and Parks, Resources Information Standards Committee, Victoria. RISC. 2002. Aerial-based inventory methods for selected ungulates: bison, mountain goat, mountain sheep, moose, elk, deer and caribou. BC Ministry of Environment, Lands and Parks, Resources Information Standards Committee, Victoria. Ungulate Winter Range Technical Advisory Team. 2005. Desired conditions for mule deer, elk and moose winter range in the southern interior of British Columbia. BC Ministry of Water, Land and Air Protection, Wildife Bulletin B-120. Pandion Ecological Research Ltd. Page 1314 Draft Effectiveness Monitoring Framework for Mule Deer Version 1 March 2006 Verme, L. J. 1968. An index of winter weather severity for northern deer. Journal of Wildlife Management 32:566-574. Waterhouse, M. J., H. M. Armleder, and R. J. Dawson. 1993. Winter food habits of mule deer in the central interior of British Columbia. BC Ministry of Forests Research Note No. 113. Wilson, S. F. 2006. Monitoring the effectiveness of mountain goat habitat management: establishing monitoring protocols and ecological baselines. EcoLogic Research Report Series No. 31. Prepared for: Forest Practices Branch, BC Ministry of Forests and Range, Victoria. Wilson, S. F., and D. Hamilton. 2002. Ungulate winter range mapping on TFL 23: capability and suitabil-ity mapping for deer, elk and moose. EcoLogic Research Report Series No. 4. Prepared for: Pope & Talbot Limited, Nakusp, BC. Wilson, S. F., and R. L, Morley. 2005. East Kootenay elk management plan 2005-9. EcoLogic Research Report Series No. 26. Prepared for: BC Ministry of Water, Land and Air Protection, Cranbrook. WLAP. 2003. Big game hunting statistics for the 2002/3 season. BC Ministry of Water Land and Air Protection, Fish and Wildlife Recreation and Allocation Branch, Victoria. Pandion Ecological Research Ltd. Page 1414