ALCES VOL. 46, 2010 SHIPLEY - MOOSE AS A MODEL HERBIVORE 1 FIFTY YEARS OF FOOD AND FORAGING IN MOOSE: LESSONS IN ECOLOGY FROM A MODEL HERBIVORE Lisa A. Shipley Department of Natural Resource Sciences, Washington State University, Pullman, Washington 99164-6410, USA ABSTRACT: For more than half a century, biologists have intensively studied food habits and forag- ing behavior of moose (Alces alces) across their circumpolar range. This focus stems, in part, from the economic, recreational, and ecosystem values of moose, and because they are relatively easy to observe. As a result of this research effort and the relatively simple and intact ecosystems in which they often reside, moose have emerged as a model herbivore through which many key ecological ques- tions have been examined. First, dietary specialization has traditionally been defined solely based on a narrow, realized diet (e.g., obtaining >60% of its diet from 1 plant genus). This definition has not been particularly useful in understanding herbivore adaptations because >99% of mammalian herbi- vores are thus classified as generalists. Although moose consume a variety of browses across their range, many populations consume 50-99% of their diets from 1 genus (e.g., Salix). Like obligatory herbivores, moose have demonstrated adaptations to the chemistry and morphology of their nearly monospecific diets, which precludes them from eating large amounts of grass and many forbs. New classifications for dietary niche suggest that moose fit on the continuum between facultative special- ists and facultative generalists. Second, moose have been the subject of early and influential models predicting foraging behavior based on the tradeoffs between quality and quantity in plants. Subsequent models have predicted the size of stems selected by moose based on the tradeoffs between fast harvest- ing (large twigs) and quick digestion (small twigs). Because of their size, moose require many hours to harvest food, often selecting large bites as browse density declines. Finally, long-term monitoring of moose populations has provided evidence of how populations and communities are regulated. Low reproductive rates and long-term population trends shaped by moose density and forage availability on Isle Royale suggest a strong bottom-up effect on moose populations. Empirical data and simulation models suggest that moose may shape their own forage supply, influencing their community and their own populations, especially when large predators are scarce. Likewise, predation is the primary fac- tor affecting calf survival and thus moose populations in Alaska, demonstrating the important role of top-down factors. Moose will continue to provide a model for examining ecological questions such as tolerances for plant chemistry, what governs animal movements over landscapes, and reciprocal interactions between predation and reproduction. ALCES VOL. 46: 1-13 (2010) Key words: Alces alces, diet selection, foraging behavior, moose, niche breadth, specialization, population regulation. For more than half a century, biologists have intensively studied food habits, foraging behavior, and nutrition of moose (Alces alces) (Table 1, Fig. 1-3, reviews by Gasaway and Coady 1974 and Schwartz 1992). This large body of research has arisen both because moose are of global interest occupying a circumpo- lar range spanning northern parts of North America, Europe, and Asia, and their large size, magnificent antlers, and fascinating behavior make them valuable for consumptive and non-consumptive recreation and subsistence (Storaas et al. 2001, Timmerman and Rod- gers 2005.) For example, a recent economic analysis estimated the annual harvest value of moose in Alaska alone at nearly $364 million MOOSE AS A MODEL HERBIVORE - SHIPLEY ALCES VOL. 46, 2010 2 and viewing value at $62 million (Northern Economics, Inc. 2006). Besides research aimed directly at better management of wild and captive populations of moose, moose have emerged in the ecological literature as a model herbivore through which many key broad eco- logical processes have been examined. Here, I will review examples from the past 50 years of how and why moose have been used to test and demonstrate ecological theory related to food and foraging. Specifically I will highlight how research with moose has contributed to 3 dichotomies in herbivore ecology: 1) how to define niche breadth relative to specialist and generalist herbivores, 2) how herbivores trade off food quality and quantity when selecting diets, and 3) the roles of top-down and bottom- up processes in regulating populations. Dietary niche: specialist Or generalist? The question of what governs the dietary niche has been the focus of community ecology for decades (e.g., Hutchinson 1957, Levins 1962, Futuyma and Moreno 1988, Kawechi 1994, Julliard et al. 2006). Many articles have examined the question of why some herbivores consume a diverse diet consisting of many plant species, whereas others consume a very narrow diet (e.g., Freeland and Janzen 1974, Westoby 1978, Sorensen and Dearing 2003). Because dietary specialization is so common in herbivorous insects, specialists have been traditionally been defined as an animal consuming only 1 plant species (i.e., monophagous, Crawley 1983). However, dietary specialization is rare in vertebrate herbivores, thus Dearing et al. (2000) relaxed the definition of a specialist for herbivores to include animals consuming at least 60% of their diet from 1 plant genus. Regardless, <1% of mammalian herbivores can be classified as a specialist using this definition (Dearing et al. 2000, Shipley et al. 2009), which limits its usefulness for understanding dietary strategies in most herbivores. Moose provide a good example of the difficulties in assigning herbivores to a specialist-generalist category. In the literature they have been referred to as both a “generalist herbivore” (Belovsky 1978) and a “special- ist browser” (Hagerman and Robbins 1993). Across much of the moose’s range in western North America, summer and winter diets consist of 75-91% willow (Salix spp., Fig. 1a- e). Likewise, diets in parts of eastern North America and Sweden consist of primarily of 1 species/genus specific to location (Fig. 2a-d). In contrast, in other areas moose consume a more diverse diet in which no single genus comprises >60% of their diet (Fig. 3a-c). Therefore, how moose are classified according to the traditional definition of specialization depends on the location and scale that their diet is measured. Because assigning herbivores like moose to a specialization category based on their realized diet alone can be problematic, many have suggested characteristics of food plants and the forager that are consistent with dietary specialization. Specialist herbivores are ex- pected to compete well in habitats where large, predictable, mono-specific patches of chemi- cally or physically defended foods occur that Location Season Feeding (hr) Ruminating (hr) Reference Central Alberta Winter 9.8 11 Renecker and Hudson 1989 Centra Alberta Summer 10.3 6.5 Renecker and Hudson 1989 Denali National Park, Alaska Winter 4.8 9.6 Risenhoover 1986 Denali National Park, Alaska Summer 7.2 7.2 Van Ballenberghe and Miquelle 1990 Rocky Mountain National Park, Colorado Summer 8.9 9.1 Dungan et al. 2010 Table 1. Time spent foraging and ruminating by moose. ALCES VOL. 46, 2010 SHIPLEY - MOOSE AS A MODEL HERBIVORE 3 are avoided by other animals (Freeland and Janzen 1974, Westoby 1978, Crawley 1983, Lawler et al. 1998, Dearing et al. 2000, Moore et al. 2004). Because this food is normally less nutritious, these animals tend to be small with lower absolute energy requirements, or have relatively low mass-specific metabolic rates. The food often offers conspicuous stimuli for easy detection, which requires lower neural sophistication when selecting a diet, thus less energy invested towards brain tissue (Smith 1979, Bernays and Funk 1999, Martin and Handasyde 1999). Specialists are expected to have specialized anatomical, physiologi- cal, or behavioral adaptations for consuming their primary food, especially advanced and less expensive detoxification systems for a narrow range of plant chemicals (Freeland and Janzen 1974, Crawley 1983, Dearing et al. 2000, Sorensen et al. 2005a). However, these adaptations reduce the range of plants, especially novel plants, that they can consume (Futuyma and Moreno 1988, Berenbaum and Zangerl 1994, Sorensen et al. 2005b). As a result, specialists are difficult to feed in captiv- ity (Pahl and Hume 1991), respond poorly to a changing environment, and are most likely to become vulnerable to extinction (Fisher et al. 2003, Smith 2008.) Moose generally conform with many, but not all of these criteria. In particular, moose are adapted to foods that form the bulk of their diet. Willow and certain other hardwood browse species contain linear condensed tan- nins that reduce protein digestibility (Hager- Fig. 1. Examples of moose consuming a “spe- cialist” diet of > 60% willow (Salix spp.) in the summer in a) Wyoming (McMillan 1953), b) Colorado (Dungan and Wright 2005), c) Alaska (Van Ballenberghe et al. 1989), and during winter in Alaska (Risenhoover 1987) and British Co- lumbia (Poole and Stuart Smith 2005). Fig. 2. Examples of moose consuming a “specialist” diet of > 60% of a plant genus on a variety of browse species in winter across its range, includ- ing a) Scots pine (Pinus sylvestris, Shipley et al. 1998), b) balsam fir (Abies balsamea, Ludewig and Bowyer 1985), c) 3 species of maple (Acer spp., Routledge and Roese 2004), and d) birch (Betula spp., especially B. papyrifera, Thomas 1990). MOOSE AS A MODEL HERBIVORE - SHIPLEY ALCES VOL. 46, 2010 4 man and Robbins 1993). Moose produce specific salivary binding proteins particularly efficient at binding linear condensed tannins, whereas herbivores like mule deer (Odocoileus hemionus) that consume a more diverse diet produce salivary binding proteins aimed at both branched and linear tannins (Hagerman and Robbins 1993). Willows also produce salicylates, a bitter phenolic glycoside, that deters feeding by some herbivores, for example brushtail possums (Trichosurus vulpecula) (Markham 1971, Edwards 1978, DeGabriel et al. 2010). Likewise, conifers consumed in large amounts contain monoterpenes and other plant secondary metabolites that deter feeding by herbivores such as snowshoe hares (Lepus americanus; Rodgers et al. 1993) and rodents (Murphy and Linhart 1999) Although little is known about how moose deal with large amounts of these plant chemicals, other animals that specialize on terpenes such as woodrats (Neotoma spp.) and arboreal marsu- pials have adapted efficient and less expensive detoxification enzymes in the liver (Boyle et al. 1999, Sorensen et al. 2005a). Moose have a relatively large liver for their size (Hofmann and Nygren 1992), thus an increased capacity to detoxify conifer browse with cytochrome P-450 enzymes (MacArthur et al. 1991). The moose has adapted an unusually large amount of room between the nasals and premaxillae which has allowed the development of a long, muscular, prehensile nose with widely spaced nostrils (Bubenik 2007). Presumably this anatomy aids stripping of willow leaves to increase bite size and harvest rate. However, this long nose is a liability when consuming small bites of forbs. Shipley et al. (1994) found that moose have the longest cropping time (min/bite) of 13 herbivores ranging from 0.01-500 kg. The anatomy of their nose al- lows moose to swallow underwater, enabling efficient consumption of aquatic plants that are avoided by most North American cervids (Geist 1999). Moose also resemble specialist herbivores because they are difficult to feed in captivity. The typical herbivore diet consisting of grain- based pellets supplemented with alfalfa or grass hay causes diarrhea, enteritis, and wast- ing in moose (Schwartz et al. 1985, Shochat et al. 1997). Although general diets of herbivores are much higher in starch than a typical moose diet dominated by browse, moose do not lack enzymes (e.g., pancreatic alpha amylase and intestinal maltase) for digesting starch (Schwartz et al. 1996, Shochat et al. 1997). However, moose only thrive in captivity when fed large amounts of supplemental browse and aspen-based herbivore pellets (Schwartz et al. 1985, Shochat et al. 1997). Therefore, other components of browse diets such as lignin, tannins, and salicin may contribute to the digestive health of moose. Because many other herbivores fall in the gray area between a specialist and generalist, Shipley et al. (2009) developed a specializa- tion key designed to more accurately place a herbivore along the specialist-generalist continuum, thus accounting for a variety of Fig. 3. Examples of moose consuming a “general- ist” diet where no plant genus constitutes > 60% of the winter diet in Alaska (Wixelman et al. 1998), b) Ontario (Cummings 1987), and British Columbia (Poole and Stuart Smith 2005). ALCES VOL. 46, 2010 SHIPLEY - MOOSE AS A MODEL HERBIVORE 5 dietary strategies and forming a framework for comparative studies. The key assigns the modifiers “obligatory” and “facultative” to the terms “specialist” and “generalist” based on 1) relative breadth of the animal’s realized niche and diet (what it eats), 2) relative breadth of the fundamental niche and available diet (what it could eat), 3) the extent of chemical or physical characteristics, termed “difficulty”, that make food items either low in value or unpalatable to most herbivores, and 4) relevant temporal and spatial scales at which diets and niche breadth are measured. Obligatory specialists always consume a narrow diet of a difficult plant. They have unique adaptations that allow them to con- sume this plant that is generally abundant in their habitat, but these adaptations also tend to prevent them from expanding their diet as environmental conditions change. Like the obligatory specialist, facultative specialists al- ways have a consistently narrow, realized niche for difficult foods during at least 1 spatial or temporal scale such as winter, but because their fundamental niche is broader, they can expand their diet to include less difficult foods when environmental conditions allow, such as sum- mer. Like facultative specialists, the realized niche of the facultative generalist can change depending on the local conditions. However, they differ from facultative specialists in that their diet is more commonly broad, they focus on different plant species in different seasons or locations, and when their diet becomes narrow, they tend to focus on less difficult plants that are also consumed readily by other herbivores. Finally, obligatory generalists always consume a mixed diet because they have a a low tolerance for difficult foods that precludes them from eating much of any dif- ficult plant. Therefore, based on these criteria, moose would fall on the continuum between the facultative specialist and the facultative generalist, because their diets consist of only 1 species and genus of moderately difficult plants in many areas, but their diet can expand or change across their range. Diet selectiOn: quality Or quantity? The fibrous cell walls of plants are difficult for herbivores to digest, thus the nutritional quality and biomass of plants are usually inversely related (Van Soest 1984). Therefore, herbivores must make tradeoffs when selecting diets, a process which forms the backbone of most models predicting diet selection for herbivores. Many innovations in optimal foraging models have been designed for and tested with moose. One of the first and best-known optimal foraging models for mammalian herbivores was Belovsky’s linear programming model (Belovsky 1978). This model was based on the simple tradeoffs moose in northeastern USA make when choos- ing whether to consume deciduous leaves or aquatic plants. Deciduous leaves are less fibrous and easier to harvest and digest than aquatic plants, but because many boreal for- ests are depauperate in sodium (Belovsky and Jordan 1981), forest plants typically have less sodium than aquatic plants. To effectively meet their daily sodium requirement, moose need to consume a minimal amount of aquatic plants. Based on simple intake and digestion models, Belovsky (1978) suggested that moose needed to consume either a large amount of aquatic plants or a moderate amount of deciduous plants to meet their energy requirements, but because of digestion limitations, could only consume a moderate amount of aquatic plants or a large amount of deciduous plants. His model, therefore, predicted that moose must consume a mixture of aquatic and terrestrial plants within a narrow range of possibilities. He suggested that the exact mixture a moose should consume depends on its goal – whether to maximize energy by consuming the minimal amount of aquatic plants possible with the maximum amount of deciduous plants subject to digestion limitations, or to minimize time spent feeding by consuming the minimum of MOOSE AS A MODEL HERBIVORE - SHIPLEY ALCES VOL. 46, 2010 6 both types of plants to provide more time for other life requisites. His data on diet composi- tion of moose from Isle Royale National Park in Michigan fit most closely with the energy maximizing strategy. Two decades later, moose were also the subject of several models designed to exam- ine diet selection on a finer scale – what twig diameter a moose should select when foraging on deciduous browse in winter (Vivås et al. 1991, Kielland and Osborne 1998, Shipley et al. 1999). These models incorporated more mechanistic intake and digestion models to examine tradeoffs between consuming bites of a larger or smaller stem diameter. Crop- ping stems at larger diameters allows moose to take larger bites (Vivås et al. 1991, Shipley et al. 1998, 1999), and in turn, taking larger bites allows moose to harvest food faster (Risenhoover 1987, Shipley and Spalinger 1992, Gross et al. 1993). However, smaller stem diameters have less fiber making them easier to crop, chew, and digest (Shipley and Spalinger 1992, Kielland and Osborne 1998, Shipley et al. 1998). Keilland and Osborne (1998) and Shipley et al. (1999) predicted the twig size that herbivores should select to maximize digestible energy/d based on mass-specific constraints on consumption and digestion based on specific architecture and chemistry of browse species. In Sweden, moose selected twig diameters very consistent with the predictions of the optimal bite size model when fed 5 deciduous browse species varying in structure and chemistry in concen- trated patches (Shipley et al. 1999). Likewise, the twig diameters that moose selected from feltleaf willow (Salix alaxensis) in Alaska (Keilland and Osborne 1998) and pubescent birch (Betula pubescens) in Norway (Vivås et al. 1991) were predictable from tradeoffs in quality and quantity. Further experiments also showed that moose perceive these tradeoffs between harvesting and digesting plants quickly, and modify their harvesting behavior as plant den- sity changes. For example, moose consumed larger stem diameters as the size of patches of red maple (Acer glabrum) stems declined and the distance between patches increased (Shipley and Spalinger 1995), and consumed proportionately more birch as density declined (Vivås and Sæther 1987). Fast harvesting and digestion is particularly important for large herbivores like moose that spend on average >8 h/d each feeding and ruminating throughout the year (Table 1). Therefore diet choices that reduce the time spent in these activities allow moose more time for other life requisites such as raising young, avoiding predators, and thermoregulation. Finally, many of the first spatially explicit individual-based foraging models (IBM) for large herbivores were built for moose (Roese et al. 1991, Moen et al. 1997, 1998). For ex- ample, Moen et al. (1997) used IBM to examine how foraging rules affect emergent properties such as body mass and movement pathways of moose foraging across patchy and seasonally changing landscapes. Landscapes consisted of grids with 1 m2 feeding stations contain- ing bites of deciduous browse. Quantity and quality of browse was updated seasonally and with herbivory, and animals moved in nested time steps according to foraging rules. Moen et al. (1997) validated the emergent properties of their model with field and pen data, and found that simulated moose using optimal rules based, in part, on quantity and quality of forage had higher body mass and survival at the end of the year than moose foraging randomly. Although different in approach, these linear programming, optimal bite size, and IBM models indicate that when choosing diets, moose seem to weigh the value of fast harvesting and fast digesting and select the diet that gives them the highest digestible energy per day, and in many cases are more sensitive to the effects of plant morphology on intake rate than plant chemistry on digestion (Keilland and Osborne 1998). ALCES VOL. 46, 2010 SHIPLEY - MOOSE AS A MODEL HERBIVORE 7 pOpulatiOn regulatiOn: tOp-DOwn Or bOttOm-up? Moose populations provide excellent case studies for investigating the classic question in population ecology of whether populations are regulated top-down by predators or bottom-up by food. The theoretical implications of this question have been recognized and debated for at least 100 years since the beginning of the field of ecology (Pimm 1991); however, the practical implications have become increas- ingly important as many large carnivores are either disappearing [e.g., lynx (Lynx canaden- sis) in northwestern USA; Koehler et al. 2008] or reappearing [e.g., successful recolonization of wolves (Canis lupus) in the northern Rocky Mountains of the USA; Oakleaf et al. 2006] on the landscape. Almost 50 years ago, Hairston et al. (1960) argued that “the world is green” because plants are more abundant than animals, thus herbivore populations must be controlled top-down by carnivores. They suggested that carnivores should compete for food because they lack predators to limit their populations, whereas because herbivore populations are limited by predators, they should not compete for food. Assuming that herbivore populations are limited by predators, they should be unable to limit plant populations that in turn would compete for resources. Therefore, removing carnivores should have a strong effect on herbivores, but removing herbivores should have little effect on plant densities. Murdoch (1966) later suggested that the world is not green – instead plants are mostly “prickly and taste bad” – arguing that ecosystems are regulated bottom-up because physical and chemical defenses make plants largely ined- ible. Therefore, herbivores are scarce and compete intensely for limited nutrients avail- able in plants. As a consequence, predators are limited by competing for scarce herbivores. Thus, removing either predators or herbivores has little effect on their food supply. Finally, Oksanen et al. (1981) suggested that whether ecosystems are limited from the top down or bottom up depends on the productivity of the ecosystem. They argued that extremely unpro- ductive systems like deserts and tundra do not produce enough forage to support herbivores, let alone carnivores. In moderately productive ecosystems, plants are limited by herbivores, but plants support insufficient herbivore popu- lations to support large numbers of predators. In very productive systems, such as rainforests, herbivores are limited by predators, but plants are not limited by herbivores as Hairston et al. (1960) proposed originally. Moose are considered a “classic textbook case” by ecologists for examining this debate (Peckarsky et al. 2008), both because many moose populations live in remote areas with relatively intact ecosystems in which their large predators are still present, and because of the availability of unique long-term datasets such as that collected in Isle Royale National Park for the last 50 years. On Isle Royale, bottom-up effects seem to predominate in the unique ecosystem of single plant (balsam fir, Abies balsamea), large herbivore (moose), and large predator (gray wolves) largely unaltered by humans. Vucetich and Peterson (2004) found that annual production of balsam fir was 3 times more important in models predicting moose density over the last 50 years than was wolf density. In turn, wolf density was predicted both by moose density and balsam fir production. In areas with more diverse plants, herbivores, and predators and those that have been modified by humans through harvest, both bottom-up and top-down effects have been observed. For example, moose range in south-central Alaska contains wil- low and other forage plants, an alternative large herbivore, and at least two abundant large carnivores [bears (Ursus americanus, U. arctos) and wolves; Testa 2004]. In a 4-year study, Testa (2004) found female moose in poor body condition, with low twinning rates and delayed age of first reproduction, and a negative relationship between raising a calf MOOSE AS A MODEL HERBIVORE - SHIPLEY ALCES VOL. 46, 2010 8 successfully and producing twins the following year. These characteristics suggest that food (willow) plays a role in limiting the moose population. However, in the same study, Testa (2004) found high calf and adult mortality from predation, resulting in low recruitment indicat- ing that predation had a greater influence on population dynamics than nutrition. Whether a large herbivore might control an ecosystem as a top-down influence may depend on its ability to escape higher top-down control by carnivore populations through large size, migration, or availability of alternative prey or predators (Sinclair 2003). A vast body of literature (e.g., Bergström and Danell 1987, Lozinov and Kuznetsov 2002, Morris 2002, Persson et al. 2005, Siipilento and Heikkilä 2005, Stolter 2008) suggests that in areas where populations of large carnivores are naturally or artificially low, moose can control their food sources from the top-down. A review (Pastor and Danell 2003) of moose across their cir- cumpolar range concluded that as moose select the most nutritious parts of hardwood browse, they damage or remove the photosynthetic and meristematic tissues. Many species of browse respond by growing more quickly and with less fiber and plant secondary metabolites. This, in turn, provides more high quality moose forage and an incentive for moose to re-browse the same plant. However, over the long term these plants grow more slowly, have lower survival, and are less competitive. Furthermore, Stolter (2008) found that browsed willows had fewer catkins and reduced reproductive output. It follows that in situations of overpopulation, preferred moose forages could be replaced with less nutritious plants, such as conifers, that grow and decompose more slowly and ultimately change the composition and reduce productivity of an ecosystem. Overview Moose are widespread, charismatic, and popular for recreation and subsistence, and thus have been the subject of much research and even a dedicated scientific journal (Alces). Additional characteristics of moose and the habitats in which they reside have caused moose to emerge as a model herbivore for testing broad ecological principles. First, moose often reside in simple and/or intact ecosystems that facilitate basic research. For example, in many boreal systems moose select from fewer than 10 species of available plants during winter (Shipley et al. 1998, Vucetich and Peterson 2004). In addition, many habitats moose occupy have been protected by parks and reserves (e.g., Yellowstone National Park, Rocky Mountain National Park, Isle Royale, Denali National Park), or are protected de facto by their remoteness. Therefore, much of moose range still contains large carnivores and natural vegetation. Second, compared with many small and wary herbivores, moose have proven to be surprisingly easy to observe both in the field and captivity. For example, Risenhoover (1987), Van Ballenberghe and Miquelle (1990), and Dungan and Wright (2005) were able to count bites from wild moose that tolerated their presence, and researchers such as Renecker and Hudson (1986) and Shipley and Spalinger (1992, 1995) hand-reared moose for foraging studies in semi-natural conditions. Moose also leave conspicuous remnants of their foraging activity such as easy-to-see browsed twigs and fecal pellets. Finally, insights into food and foraging are often most lucrative when studying large herbivores like moose that must spend most of their time foraging to satisfy their high forage requirements. With these desirable characteristics, moose will continue to provide a model for examining ecological questions such as tolerances for plant chemistry, what governs animal movements over landscapes, and reciprocal interactions between predation and reproduction. acKnOwleDgments Thanks to T. Bowyer, K. Danell, N. T. Hobbs, J. Forbey, B. Moore, and D. E. Spal- ALCES VOL. 46, 2010 SHIPLEY - MOOSE AS A MODEL HERBIVORE 9 inger for their helpful insight on ecology and moose. references BelovSky, G. E. 1978. Diet optimization in a generalist herbivore, the moose. Journal of Theoretical Population Biology 14: 105-134. _____, and P. A. Jordan. 1981. Sodium dynamics and adaptations of a moose population. Journal of Mammalogy 62: 613-621. BerenBaum, m. r., and a. r. Zangerl. 1994. Facing the future of plant-insect interaction research: Le Retour á la “Raison d’Être”. Plant Physiology 146: 804-811. BergStröm, r., and k. danell. 1987. Effects of simulated winter browsing by moose on morphology and biomass of two birch species. Journal of Ecology 75: 533- 544. BernayS, e. a., and D. J. Funk. 1999. Special- ists make faster decisions than generalists: experiments with aphids. Proceedings of the Royal Society of London B 266: 151-156. Boyle, r. t, S. mclean, n. davieS, W. Foley, and B. moore. 1999. Folivorous spe- cialization: adaptations in the detoxifica- tion of the dietary terpene, p-cymene, in Australian marsupial folivores. American Zoologist 39: 120A. BuBenik, A. B. 2007. Evolution, taxonomy, and morphophysiology. Pages 77-123 in A. W. Franzmann and C. C. Schwartz, editors. Ecology and Management of the North American Moose. Second edition. University Press of Colorado, Boulder, Colorado, USA. craWley, M. J. 1983. Herbivory: The Dynam- ics of Animal-Plant Interactions. Studies in Ecology Volume 10. Blackwell Scien- tific Publications, Oxford, England. cumming, H. G. 1987. Sixteen years of browse surveys in Ontario. Alces 23: 125-155. dearing, m. d., a. m. mangione, and W. H. karaSov. 2000. Diet breadth of mamma- lian herbivores: nutrient vs. detoxification constraints. Oecologia 123: 397-405. degaBriel, J. l., B. d. moore, l. a. SHipley, a. k. krockenBerger, i. r. WalliS, c. n. JoHnSon, and W. J. Foley. 2010. Inter- population differences in the tolerance of a marsupial folivore to plant secondary metabolites. Oecologia, in press. dungan, J. d., and r. g. WrigHt. 2005. Sum- mer diet composition of moose in Rocky Mountain National Park, Colorado. Alces 41: 139-146. _____, l. a. SHipley, and r. g. WrigHt. 2010. Activity patterns, foraging ecology, and summer range carrying capacity of moose in Rocky Mountain National Park, Colo- rado. Alces 46: ##-##. edWardS, W. r. n. 1978. Effect of salicin content of palatability of Populus foli- age to opossum (Trichosurus vulpecula). New Zealand Journal of Science 21: 103-106. FiSHer, d. o, S. p. BlomBert, and i. p. e. oWenS. 2003. Extrinsic versus intrinsic factors in the decline and extinction of Australian marsupials. Proceedings of the Royal Society of London B 270: 1801-1808. Freeland, W. J., and d. H. JanZen. 1974. Strategies in herbivory by mammals: the role of plant secondary compounds. American Naturalist 108: 269-289. Futuyma, d. l., and g. moreno. 1988. The evolution of ecological specialization. An- nual Review of Ecology and Systematics 19: 207-233. gaSaWay, W. c., and J. W. coady. 1974. Re- view of energy and rumen fermentation in moose and other ruminants. Naturaliste Canadien 101: 227-262. geiSt, v. 1999. Moose: Behavior, Ecology, Conservation. Voyageur Press, Stillwater, Minnesota, USA. groSS, J. e., l. a. SHipley, n. t. HoBBS, d. e. Spalinger, and B. a. Wunder. 1993. Foraging by herbivores in food-concen- MOOSE AS A MODEL HERBIVORE - SHIPLEY ALCES VOL. 46, 2010 10 trated patches: tests of a mechanistic model of functional response. Ecology 74: 778-791. Hagerman, a., and c. t. roBBinS. 1993. Spe- cificity of tannin-binding proteins relative to diet selection by mammals. Canadian Journal of Zoology 71: 628-633. HairSton, n. g., F. e. SmitH, and l. B. SloBod- kin. 1960. Community structure, popula- tion control and competition American Naturalist 94: 421-425. HoFmann, r. r., and k. nygren. 1992. Mor-1992. Mor- phophysiological specialization of the moose digestive system. Alces Supple- ment 1: 91-100. HutcHinSon, g. e. 1957. Concluding remarks. Cold Spring Harbor Symposium on Quan- titative Biology. 22: 415-427. Julliard, r., J. clavel, v. devictor, F. Jiguet, and d. couvet. 2006. Spatial segregation of specialists and generalists in bird communities. Ecology Letters 9: 1237-1244. kaWecHi, t. J. 1994. Accumulation of delete-1994. Accumulation of delete- rious mutations and the evolutionary cost of being a generalist. American Naturalist 144: 833-838. kielland, k., and t. oSBorne. 1998. Moose browsing on feltleaf willow: optimal for- aging in relation to plant morphology and chemistry. Alces 34: 149-155. koeHler, g. m., B. t. maletZke, J. a. vaon kienaSt, k. B. auBry, r. B. WielguS, and r. H. naney. 2008. Habitat fragmentation and the persistence of lynx populations in Washington State. Journal of Wildlife Management 72: 1518-1524. laWler, i. r., W. J. Foley, B. m. eScHler, d. m. paSS, and k. HandaSyde. 1998. Interspecific variation in Eucalyptus secondary metabolites determines food intake by folivorous marsupials. Oeco- logia 116: 160-169. levinS, R. 1962. Theory of fitness in a het- erogeneous environment. 1. The fitness set and adaptive function. American Naturalist 96: 361-373. loZinov, g. l., and g. v. kuZnetSov. 2002. The impact of moose on ash productivity. Alces Supplement 2: 81-84. ludeWig, H. a., and r. t. BoWyer. 1985. Overlap in winter diets of sympatric moose and white-tailed deer in Maine. Journal of Mammalogy 66: 390-392. markHam, k. r. 1971. A chemotaxonomic approach to the selection of opossum resistant willows and poplars for use in soil conservation. New Zealand Journal of Science 14: 179-186. martin, r., and k. HandaSyde. 1999. The koala: Natural history, conservation and management. Australian Natural History Series. Second edition. UNSW Press, Sydney, Australia. mcartHur, c., a. e. Hagerman, and c. t. roB- BinS. 1991. Physiological strategies of mammalian herbivores against plant de- fenses. Pages 103-114 in R. T. Palo and C. T. Robbins, editors. Plant Defenses Against Mammalian Herbivory. CRC Press, Boca Raton, Florida, USA. mcmillan, J. F. 1953. Some feeding habits of moose in Yellowstone Park. Ecology 34: 102-110. moen, r., J. paStor., and y. coHen. 1997. A spatially-explicit model of moose foraging and energetics. Ecology 78: 505-521. _____, y. coHen, and J. paStor. 1998. Link- ing moose population and plant growth models with moose energetics model. Ecosystems 1: 52-63. moore, B. d., i. r. WalliS, J. palá-paúl, J. J. BropHy, r. H. WilliS, and W. J. Foley. 2004. Antiherbivore chemistry of Euca- lyptu - cues and deterrents for marsupial herbivores. Journal of Chemical Ecology 30: 1743-1769. morriS, K. 2002. Impact of moose on aquatic vegetation in northern Maine. Alces 38: 213-218. murdocH, W. W. 1966. Population stabil- ity and life history phenomena. Americ ALCES VOL. 46, 2010 SHIPLEY - MOOSE AS A MODEL HERBIVORE 11 Naturalist 100: 5-11. murpHy, S. m., and y. B. linHart. 1999. Comparative feeding morphology of the gastrointestinal tract in the feeding special- ist, Sciurus aberti and several generalist congeners. Journal of Mammalogy 80: 1325-1330. Northern Economics, Inc. 2006. The Value of Alaska Moose. Northern Economics, Inc. Anchorage, Alaska, USA. oakleaF, J. k., d. l. murray, J. r. oakleaF, e. e. BangS, c. m. mack, d. W. SmitH, J. a. Fontaine, m. d. JimeneZ, t. J. mei-Fontaine, m. d. JimeneZ, t. J. mei- er, and c. c. niemeyer. 2006. Habitat selection by recolonizing wolves in the northern Rocky Mountains of the United States. Journal of Wildlife Management 70: 554-563. okSanen, l., S. d. FretWell, J. arruda, and p. niemelä. 1981. Exploitation ecosys- tems in gradients of primary productivity. American Naturalist 118: 240-262. paHl, l. i., and i. Hume. 1991. Preferences for Eucalyptus species of the New England Tablelands and initial development of an artificial diet for koalas. Pages 123-128 in A. K. Lee, K. A. Handasyde, and G. D. Sanson, editors. Biology of the Koala. Surrey Beatty & Sons and the World Koala Research Corporation, Sydney, Australia. paStor, J., and k. danell. 2003. Moose- vegetation-soil interactions: a dynamic- system. Alces 39: 177-192. peckarSky, B. l., p. a. aBramS, d. i. Bolnick, l. m. dill, J. H. graBoWSki, B. lutitBeg, J. l. orrock, S. d. peacor, e. l. preiS- Ser, o. J. ScHmitZ, and g. c. truSSell. 2008. Revisiting the classics: consider- ing nonconsumptive effects in textbook examples of predator prey interactions. Ecology 89: 2416-2425. perSSon, i.-e., k. danell, and r. BergStröm. 2005. Different moose densities and ac- companied changes in tree morphology and browse production. Ecological Ap- plications 15: 1296-1305. pimm, S. L. 1991. The balance of nature? Ecological Issues in the Conservation of Species and Communities. The Univer- sity of Chicago Press, Chicago, Illinois, USA. poole, k. g., and k. Stuart SmitH. 2005. Fine scale winter habitat selection by moose in interior montane forests. Alces 41: 1-8. renecker l. a., and r. J. HudSon. 1986. Seasonal foraging rates of free-ranging moose. Journal of Wildlife Management 50: 143-147. _____, and _____. 1989. Seasonal activity budgets of moose in aspen-dominated boreal forests. Journal of Wildlife Man- agement 53: 296-302. riSenHoover, K. L. 1986. Winter activity pat- terns of moose in interior Alaska. Journal of Wildlife Management 50: 727-734. _____. 1987. Composition and quality of moose winter diets in interior Alaska. Journal of Wildlife Management 53: 568-577. rodgerS, a. r., d. WilliamS, a. r. e. Sin- clair, t. p. Sullivan, and r. J. anderSon. 1993. Does nursery production reduce antiherbivore defences of white spruce? Evidence from feeding experiments with snowshoe hares. Canadian Journal of Forest Research 23: 2358-2361. roeSe, J. H., k. l. riSenHoover, and l. J. FolSe. 1991. Habitat heterogeneity and foraging efficiency: an individual-based model. Ecological Modeling 133-143. routledge, r. g., and J. roeSe. 2004. Moose winter diet selection in central Ontario. Alces 40: 95-101. ScHWartZ, c. c. 1992. Physiological and nutritional adaptations of moose to north- ern environment. Alces Supplement 1: 139-155 _____, d. l. Harmon, k. J. Hundertmark, c.t. roBBinS, and B. A. Lintzeňich. 1996. Carbohydrase activity in the pancreas and MOOSE AS A MODEL HERBIVORE - SHIPLEY ALCES VOL. 46, 2010 12 small intestine of moose and cattle. Alces 32: 25-29. _____, W. l. regelin, and a. W. FranZmann. 1985. Suitability of a formulated ration for moose. Journal of Wildlife Manage- ment 49: 137-141. SHipley, l. a., S. BlomquiSt, and k. danell. 1998. Diet choices by free-ranging moose in relation to plant distribution, chemistry, and morphology in northern Sweden. Canadian Journal of Zoology 76: 1722-1733. _____, J. S. ForBey, and B. d. moore. 2009. Revisiting the dietary niche: when is a mammalian herbivore a specialist? In- tegrative and Comparative Biology: doi: 10.1093/icb/icp051 _____, J. e. groSS, d. e. Spalinger, n. t. HoBBS, and B. a. Wunder. 1994. The scaling of intake rate of mammalian herbivores. American Naturalist 143: 1055-1082. _____, a. W. illiuS, k. danell, n. t. HoBBS, and d. e. Spalinger. 1999. Predicting bite size selection of mammalian herbivores: a test of a general model of diet optimiza- tion. Oikos 84: 55-68. _____, and d. e. Spalinger. 1992. Mechan- ics of browsing in dense food patches: effects of plant and animal morphology on intake rate. Canadian Journal of Zoology 70: 1743-1752. _____, and _____. 1995. Influence of size and density of browse patches on intake rates and foraging decisions of young moose and white-tailed deer. Oecologia 104: 112-121. SHocHat, e, c. t. roBBinS, S. m. pariSH, p. B. young, t. r. StepHenSon, and a. tamayao. 1997. Nutritional investiga- tions and management of captive moose. Zoo Biology 16: 479-494. Siipliento, J., and r. Heikkilä. 2005. The effect of moose browsing on the height structure of Scots pine saplings in a mixed stand. Forest Ecology and Management 205: 117-126. Sinclair, A. R. E. 2003. The role of mam- mals as ecosystem landscapers. Alces 39: 161-176. SmitH, M. 1979. Behaviour of the koala, Phascolarctos cinereus Goldfuss, in cap- tivity I. Non-social behaviour. Australian Wildlife Research 6: 117-129. SmitH, A. T. 2008. Conservation of endan- gered lagomorphs. Pages 297-315 in P.C. Alves, N. Ferrand, and K.Hackländer, editors. Lagomorph Biology: Evolution, Ecology and Conservation. Springer- Verlag, Berlin, Germany. SorenSen, J. S., and m. d. dearing. 2003. Elimination of plant toxins by herbivo- rous woodrats: revisiting an explanation for dietary specialization in mammalian herbivores. Oecologia 134: 188-194. _____, J. d. mcliSter, and m. d. dearing. 2005a. Plant secondary metabolites com- promise the energy budgets of specialist and generalist mammalian herbivores. Ecology 86: 125-139. _____, _____, and _____. 2005b. Novel plant secondary metabolites impact dietary specialists more than generalists (Neotoma spp.). Ecology 86: 140-154. Stolter, C. 2008. Intra-individual plant response to moose browsing: Feedback loops and impacts on multiple consumers. Ecological Monographs 78: 167-183. StoraaS, t., H. gunderSen, H. HenrikSen, and H. p. anreaSSen. 2001. The economic value of moose in Norway - a review. Alces 37: 97-107. tHomaS, D. C. 1990. Moose diets and use of successional forest in the Canadian taiga Alces 26: 24-29. teSta, J. W. 2004. Population dynamics and life history trade-offs of moose (Alces alces) in south-central Alaska. Ecology 85: 1439-1454. timmerman, H. r., and a. r. rodgerS. 2005. Moose: competing and complementary values. Alces 41: 85-120. ALCES VOL. 46, 2010 SHIPLEY - MOOSE AS A MODEL HERBIVORE 13 van BallenBergHe, v. and d. g. miquelle. 1990. Activity of moose during spring and summer in interior Alaska. Journal of Wildlife Management 54: 391-396. _____, _____, and J. g. maccraken. 1989. Heavy utilization of woody plants by moose during summer at Denali National Park. Alces 25: 31-35. van SoeSt, P. J. 1984. Nutritional Ecology of the Ruminant. Cornell University Press, Ithaca, New York, USA. vivåS, H. J., and B.-e. SætHer. 1987. Inter- actions between a generalist herbivore, the moose Alces alces, and its food re- sources: an experimental study of winter foraging behavior in relation to browse availability. Journal of Animal Ecology 56: 509-520. _____, _____, and r. anderSen. 1991. Optimal twig-size selection of a gener- alist herbivore, the moose Alces alces: implications for plant-herbivore interac- tions. Journal of Animal Ecology 60: 395-408. vuceticH, J. a., and r. o. peterSon. 2004. The influence of top-down, bottom-up, and abiotic factors on the moose (Alces alces) population of Isle Royale. Proceed- ings of the Royal Society of London B 271: 183-189. WeStoBy M. 1978. What are the biological bases of varied diets? American Naturalist 112: 627-631. Wixelman, d. a., r. t. BoWyer, and v. van BallenBergHe. 1998. Diet selection by Alaskan moose during winter: effects of fire and forest succession. Alces 34: 213-238.