Table 1. List of native mammalian herbivore species inhabiting forest landscapes of the boreal zone (sensu Hämet-Ahti 1981) of the Nearctic and Palaearctic. Taxonomy and nomenclature follow Wilson and Reeder (1993); common names are according to Corbet and Hill (1991). Recent human use (in the last 20 yr) of the different species is indicated: Ab, abomasum (for cheese production); A, antlers; VA, velvet antlers; G, glands; M, meat; Mi, milk (only from semidomesticated animals); S, skin/pelts; *, their food storage collected and consumed by man; and **, their food storage collected and given as food to domestic animals.
Species
|
Nearctic
|
Palaearctic
|
Human
use of animals
|
Family Moschidae |
Siberian musk deer (Moschus moschiferus)
|
|
x
|
G, M, S
|
Family Cervidae |
Wapiti, red deer (Cervus elaphus)
|
x
|
x
|
A, VA, M, S
|
Moose,
elk (Alces alces)
|
x
|
x
|
A,
M, (Mi), S
|
Western
roe deer (Capreolus capreolus)
|
|
x
|
A,
M, S
|
Eastern
roe deer (C. pygargus)
|
|
x
|
A,
M, S
|
Mule
deer (Odocoileus hemionus)
|
x
|
|
A,
M, S
|
White-tailed
deer (O. virginianus)
|
x
|
|
A,
M, S
|
Caribou,
reindeer (Rangifer tarandus)
|
x
|
x
|
Ab,
A, VA, M, Mi, S
|
Family Bovidae |
Bison (Bison bison)
|
x
|
|
A, M, S
|
Family Sciuridae
|
Woodchuck (Marmota monax)
|
x
|
|
M
|
Eurasian
red squirrel (Sciurus vulgaris)
|
|
x
|
S
|
Least
chipmunk (Tamias minimus)
|
x
|
|
|
Siberian
chipmunk (T. sibiricus)
|
|
x
|
S
|
Eastern
chipmunk (T. striatus)
|
x
|
|
|
American
red squirrel (Tamiasciurus hudsonicus)
|
x
|
|
|
American
flying squirrel (Glaucomys sabrinus)
|
x
|
|
|
Siberian
flying squirrel (Pteromys volans)
|
|
x
|
S
|
Family Castoridae |
American beaver (Castor canadensis)
|
x
|
|
G, M, S
|
Eurasian
beaver (C. fiber)
|
|
x
|
G,
M, S
|
Family Dipodidae |
Northern birch mouse (Sicista betulina)
|
|
x
|
|
Woodland jumping mouse (Napaeozapus insignis)
|
x
|
|
|
Meadow jumping mouse (Zapus hudsonicus)
|
x
|
|
|
Western
jumping mouse (Z. principes)
|
x
|
|
|
Family Muridae |
European water vole (Arvicola terrestris)
|
|
x
|
S
|
Gapper's
red-backed vole (Clethrionomys gapperi)
|
x
|
|
|
Bank vole (C. glareolus)
|
|
x
|
|
Grey
red-backed vole (C. rufocanus)
|
|
x
|
|
Northern
red-backed vole (C. rutilus)
|
x
|
x
|
|
Amur
lemming (Lemmus amurensis)
|
|
x
|
|
Field
vole (Microtus agrestis)
|
|
x
|
|
Rock
vole (M. crotorrhinus)
|
x
|
|
|
Long-tailed
vole (M. longicaudus)
|
x
|
|
|
Root
vole (M. oeconomus)
|
x
|
x
|
S
*
|
Meadow
vole (M. pennsylvanicus)
|
x
|
|
*
|
Yellow-cheeked
vole (M. xanthognathus)
|
x
|
|
|
Wood
lemming (Myopus schisticolor)
|
|
x
|
|
Muskrat
(Ondatra zibethicus)
|
x
|
|
M,
S
|
Heather
vole (Phenacomys intermedius)
|
x
|
|
|
Northern
bog lemming (Synaptomys borealis)
|
x
|
|
|
Yellow-necked
mouse (Apodemus flavicollis)
|
|
x
|
|
Korean
field mouse (A. peninsulae)
|
|
x
|
|
Harvest
mouse (Micromys minutus)
|
|
x
|
|
Bushy-tailed
woodrat (Neotoma cinerea)
|
x
|
|
|
Deer
mouse (Peromyscus maniculatus)
|
x
|
|
|
Family Erethizontidae |
North American porcupine (Erethizon dorsatum)
|
x
|
|
M, S
|
Family Leporidae |
Northern pika (Ochotona alpina)
|
|
x
|
**
|
Collared
pika (Ochotona collaris)
|
x
|
|
|
Snowshoe
hare (Lepus americanus)
|
x
|
|
M,
S
|
Arctic
hare, mountain hare (L. timidus)
|
x
|
x
|
M,
S
|
The 49 species listed belong to the orders Artiodactyla, Rodentia, and
Lagomorpha. In the Nearctic, there are 31 species of mammalian
herbivores distributed among eight families, and in the Palaearctic,
the corresponding figures are 24 species and seven families. Of the 49
species, only 6 species occur in both regions (Table 1). In this count, we have excluded a few species that have their main distribution outside the boreal zone, but marginally and temporally occur within it. Examples of such species are the striped field mouse (Apodemus agraricus), with a more southern distribution, and the Norway lemming (Lemmus lemmus), which mainly occurs on the tundra, but penetrates into the boreal forest during peak years. Introduced species are excluded. White-tailed deer, American beaver, and muskrat have been introduced into the Palaearctic from the Nearctic, but we are not aware of any mammalian herbivore species being successfully transferred in the opposite direction.
THEIR USE BY MAN
Most of the animals in this review are harvested for their meat
and skin (Table 1). The antlers of species belonging to the family Cervidae are used for various purposes. Cervid species have probably been, and still are, the most important group for humans, as they provide both meat and hides (e.g., for clothes). In Scandinavia, the amount of moose meat harvested by sport hunters is now larger than it ever has been, because the moose population has increased greatly during the last 30 years. A similar expansion has also occurred for white-tailed deer in North America. The harvest of animals for their pelts has decreased in both the Nearctic and the Palaearctic, probably due to declining prices. Pelts from squirrels, muskrats, and hares were commercially harvested at the beginning of the century, but have little value today. Semi-domesticated reindeer in the Palaearctic produce meat and hides on a commercial basis, and are also used to a limited extent for milking, as are semi-domesticated moose in Russia. The Siberian musk deer is used for its musk and is raised in captivity in China.
In addition to these direct uses, some species have a more indirect and beneficial interrelationship with humans. Before the arrival of the Europeans, meadow voles served the Mandan Indians of the Great Plains in North America well: their autumn caches of ground beans and "artichokes" provided the Indians with vital food, which was collected by Indian women (Banfield 1974). Alaskan Eskimos trained special dogs to locate the autumnal caches of liquorice roots collected by
root voles, which the Eskimos would then add to their own winter larders (Banfield 1974). Hay collected and piled by pikas is harvested by farmers and given to sheep and cattle in Siberia.
Body mass values for the mammalian herbivore species used by man for
meat, skin, pelts, and antlers are given in Table
2. Species with a body mass < 1 hg are rarely used; within the
range of 1 hg - 1 kg, they are sometimes used. Species heavier than 1
kg are always regarded as useful to man. This overall pattern seems to
hold for both the Nearctic and the Palaearctic.
Table 2. Percentage of the mammalian herbivore species used by
humans (for meat, skin/pelts, and antlers) for different classes of
body mass. Information refers to recent use (in the past 20 yr) in the
Nearctic, Palaearctic, and both regions combined.
|
Percentage of the species used by man
|
Body mass
(kg)
|
Nearctic
(31 spp.)
|
Palaearctic
(24 spp.)
|
Nearctic
+ Palaearctic
(49 spp.)
|
<0.1
|
0
|
17
|
8
|
0.1
- 0.9
|
20
|
75
|
44
|
1
- 999
|
100
|
100
|
100
|
|
Skins or pelts are collected from species smaller than those that are
harvested for meat. One explanation might be that it is more profitable to extract the skin than the meat from small animals. The really small animals might be avoided because it is not profitable to extract the skin, which is often of low quality. Another explanation for the low interest in the smallest animals is that they may be regarded as vectors for diseases and, therefore, are not handled.
NUMERICAL PATTERNS OF THEIR POPULATIONS
In Appendices 1 and 2, we have gathered information on the numerical
fluctuations of the mammalian herbivores in the Nearctic and
Palaearctic, respectively. Appendix 2 contains a large number of data sets from the former Soviet Union, many of which, until now, have been more or less unknown to western scientists. For each study, the species, study area, period of study, and periodicity and amplitude of population changes, as well as methods used to collect the information, are included.
For the boreal forest of the Nearctic, there is information on population changes over time for about half of the species. For the Palaearctic, there is a substantial amount of information for about two-thirds of the species. Even if the mammalian herbivores are among the most studied taxa in the northern hemisphere, there are large gaps in our knowledge about several species.
By considering the information in the appendices, it is clear that the different species cannot easily be classified according to the characteristics of their population fluctations. There is a large component of spatial and temporal variation. For example, the pattern shown by one species in one area may not be present in the same area at another time, or in another area at the same time.
Here, we recognize three types of fluctuation patterns, but are fully aware that attempts to make simple classifications are justified only for pedagogical reasons. The first two groups contain species with regular fluctuations and the third group contains species with irregular fluctuations. We placed species that show high predictability in their fluctuation pattern in the first group, and
species with regular fluctuations, but with variation in periodicity, in the second group.
Many of the species with regular fluctuations (with high predictability) include the Muridae and the snowshoe hare. They either fluctuate in regular "cycles" with a specific periodicity, or do not fluctuate at all. Many of the voles fluctuate with a 3-4 yr cyclic pattern in large parts of their distribution, both in the Nearctic and Palaearctic. There are numerous data sets of either a 3-4 yr fluctuation pattern or mostly seasonal changes, although with a possible long-term trend. Even for these species with highly predictable patterns, the fluctuations can disappear over time and space. The microtine "cycles" have recently "disappeared" for some of the vole species (especially Clethrionomys species) in northern Fennoscandia during the last decade (Hanski and Henttonen 1996, Klemola et al. 1997). The snowshoe hare, only present in the Nearctic, is another example of a species that either fluctuates in a "typical" "cyclic" pattern (about 10 yr), or does not show any "cyclic" pattern at all (Keith 1990). The hare fluctuations are more or less spatially correlated over the whole North American continent, and occur strongly within the core distribution area. At the edges of the distribution, where the hare populations are fragmented
or in low numbers, the "cycles" disappear.
We put muskrat, mountain hare, and the red squirrels in the second
group (regular fluctuations with low predictability). The muskrat
fluctuates with different periodicities over its vast distribution in
North America (Appendix 1), where it is native. In Canada, it lost its "cycling" in the middle of this century (Bulmer 1974, Boutin and Birkenholz 1987), as seen from fur harvests. Even earlier, there were periods without any statistically significant 10-yr "cycle" for
the muskrat (Appendix 1). When the species was introduced into Fennoscandia, it fluctuated with an even shorter periodicity (Danell 1978). Variations in periodicity of the fluctuations are also present at smaller geographical scales. For example, mountain hares in Finland showed period lengths of 9-11 yr in nine provinces, but periods of 4 yr in two of the provinces (Ranta et al. 1997). A 3-4 yr "cyclic" pattern is common in Sweden and Norway, whereas both 5-6 and 9-10 yr periodicities can be found in the former Soviet Union. The shorter "cycle" is mostly found in the European part; the longer "cycle" is present in the taiga zone and the west Siberian steppe. The Eurasian red squirrel shows both 5-7 and 9-10 yr fluctuation patterns. However, the regularity
found in the numerical fluctuations of squirrels is weak.
The third group (irregular fluctuations) contains species that rarely
show any regular fluctuations, e.g., the families Cervidae, Bovidae,
and Castoridae. Only a few studies have shown periodic fluctuations in
ungulates (Appendices 1 and 2). One reason may be the lack of long-term studies of ungulate populations that are not exposed to human interference through hunting, predator control, large-scale habitat change, or introductions. Very little empirical evidence
supports the idea that variation in one (e.g., food) or a combination of extrinsic factors can generate "cyclic" variation in the population sizes of large ungulates (Saether 1997). Both long delays and overcompensation in the density-dependent feedback and stochastic variation in climate can easily generate large fluctuations in population sizes of large ungulates, often of a "cyclic" nature. Thus, an eruption-like pattern of variation in population size, with a lack of stable resource-dependent equilibrium, seems to be characteristic for population fluctuations of many
large ungulates, at least in the absence of large carnivores (Keith 1974, Saether 1997).
The amplitude of the fluctuations over time is also an important characteristic of the numerical fluctuations. This variation in animal numbers over time can be described in different ways. Here, we have chosen to simply give the ratio between the highest and the lowest values reported during each observation period. We feel that it gives a good description of the potential changes that a species will show from the perspective of harvesting. However, a weakness in the estimate of the amplitude is the difficulty of estimating low densities in the field; often no animals are caught during such a situation. It is a common procedure to set the lowest value slightly greater than zero (e.g., 0.1), even if no animals were caught. The estimated amplitude will, of course, be
dependent upon the value chosen.
The amplitude of the fluctuation also seems to depend upon the area sampled and the time period. Great fluctuations may be "smoothed out" over large areas because some of the populations can be in slightly different phases. For example, the amplitude of changes in the beaver harvests in the whole of Canada during 1919-1984 was about sixfold, but when considering Ontario alone, the amplitude was about 100-fold. At even smaller spatial scales, the local amplitudes might be even larger.
Mammalian herbivores of the boreal forest show a wide range in their
amplitude of population fluctuation, i.e., from 2 to about 1000
(Appendices 1 and 2). Squirrels and beavers show amplitudes around 10
or some 10s. Many of the murid species and the hares show even larger
amplitudes of variation, i.e., about 100 or more. From a harvesting perspective, the periodicity and amplitude of fluctuation of a population might have been important factors for the development of harvesting traditions and strategies. These activities often need investments in knowledge and, to some extent, equipment. These investments are probably related to fluctuation patterns of the target species. It would be an interesting to explore how the patterns in animal populations affect the behavior of hunters.
HOW CAN THESE PATTERNS BE EXPLAINED?
Calder (1983) proposed that herbivore populations should fluctuate at periods proportional to the fourth root of the body mass M1/4), a basic allometric relationship linking physiological cycles to population processes. Supportive empirical data including 41 species of birds and mammals were presented by Peterson et al. (1984), but the relationship has been questioned by Krukonis and Schaffer (1991). For example, they claimed that the explanatory power of the proposed scaling law depends critically on whether or not populations are treated individually or are averaged by species. Further, adding new herbivore species to the Peterson data sets decreased the fit and changed the scaling exponent. Berryman (1995) also criticized the approach of explaining the periodicity of "cycles" by body mass or intrinsic growth rate.
An overlooked difficulty with such general analyses is the exclusion of species that show "pseudocycles." Such species show "cycles" when they are tightly linked to a "cyclic" community driven by species having an innate "cyclic" pattern, whereas they will not show "cycles" in other situations.
The question of population regulation has been much debated in population dynamics, and populations with strong numerical fluctuations have attracted the interests of many researchers. Much effort has focused on dichotomous factors, extrinsic vs. intrinsic, density-dependent vs. density-independent. The vole "cycle" has been intensively studied and several hypotheses have been put forward (see Krebs and Myers 1974, Taitt and Krebs 1985, Norrdahl 1995). The causitive factors have been sought in food, predation, weather, social stress, behavior, and genetics. Although it is difficult to find any consensus among scientists as to the explanation of the vole "cycle," many of them now seem to favor a multifactor approach.
Recent experimental evidence on the showshoe hare "cycle" shows that predator exclosures doubled hare density and food addition tripled hare density during the "cyclic" peak and decline. Predator exclosure combined with food addition increased density 11-fold (Krebs et al. 1995). These results support the general ideas of Keith (1983) and Wolff (1980) that both predation and food play a role in generating hare cycles, but do not necessarily support Keith's proposed sequential two-level interaction, which assumes food shortage to be temporarily followed
by predation.
For the microtine rodents, Stenseth (1995) suggests a simpler, two-trophic-level hypothesis (instead of the three-trophic-level in snowshoe hares), based on the estimated dimension of the time series for small rodents. Such a hypothesis could involve predators or food, but empirical tests are lacking.
Sinclair et al. (1993) showed that hare numbers, scars made by hares on trees, and sunspots were correlated, and argued that the snowshoe hare cycle is modulated indirectly by solar activity through an amplified climate cycle that affects the whole boreal forest ecosystem. If the sunspots synchronize the hare cycles, they should be seen on a larger scale. However, the Nearctic and Palaearctic hare populations do not fluctuate in phase (Ranta et al. 1997). Still, it is too early to rule out the role of sunspots for snowshoe hares, because mountain hare populations do not fluctuate in phase with the snowshoe hare populations. They are two different species, with great differences in many characters, e.g., body mass and fluctuation pattern.
The 3-4 yr fluctuation of small game in Norway and Sweden has been
attributed to predators switching between voles when they are abundant to
small game during periods of low abundance (Hagen 1952, Hörnfeldt
1978). The alternative prey hypothesis was tested in an island
experiment (Marcström et al. 1988, 1989), and gained further
support during the outbreak of sarcoptic mange, which dramatically
reduced the fox population (Lindström et al. 1994).
The seed supply seems to be an important factor regulating population size of squirrels. Both Pulliainen (1984) and Andrén and Lemnell (1992) found a time lag of 1 yr between a rich food supply and high squirrel density for Fennoscandia. For the American red squirrel, Sullivan (1987) reported a 1-yr time lag between lodgepole pine (Pinus contorta) and squirrel density. Several squirrel species appear to be connected to the fluctuation in cone production of different conifers, and any "cyclic" fluctuation will thus be determined by a "cyclic" production of cones.
Keith (1974) suggested that large predators prevent ungulates from reaching densities limited by food supply. Removing the large predators would open the possibility for unchecked growth, followed by overgrazing and starvation. Delays and overcompensation in the density-dependent processes are an important part of the explanation of this fluctuation pattern (Grenfell et al. 1992, Clutton-Brock et al. 1997, Saether 1997).
MANAGEMENT AND CONSERVATION ASPECTS
Boreal forests have been inhabited by sparse human populations, which have
used plants as well as animals in various ways almost since the end of the last glaciation period. During the last two centuries, exploitation of the forest has increased. From the perspective of the mammalian herbivores, two main categories of human activities are going on. The first concerns loss of habitats and changes in the remaining habitats of the animals, and the second is direct actions on the animal populations.
Boreal forest habitats are mainly affected by forest management that reduces the structural and spatial diversity at the stand, as well as the landscape, level (Hansson 1997). The prevailing silvicultural methods favor monocultures of a similar age, increase the proportion of younger stands, and reduce the amount of dying and dead wood. Overall, this will improve conditions for species that favor young forest stands, e.g., moose, but it will make the situation worse for
species that depend on old-growth forests with abundant lichens on tree branches and trunks, and on the forest floor, e.g.. reindeer.
At present, we do not know to what extent the changes induced by forestry will affect one of the important characteristics of the boreal forests, i.e., the periodic fluctuations ("cycles") of some mammalian herbivores. We only have limited sets of observations around which we can speculate. In the boreal forests of northern Fennoscandia, there have been distinct 3-4 yr "cycles" since more general monitoring started (around 1970). During the last decade, however, these "cycles" have been less dramatic and have even faded away. "Modern forestry" started after World War II and has gradually converted most of the forest land in Fennoscandia into managed forests. Clear-cutting of forest stands, which has been the predominant regeneration method, creates areas with grasses and herbs that become excellent habitats for microtine rodents during the first few years. From this perspective, we can ask if the 3-4 yr "cycles" were amplified during 1960-1985 by these ongoing habitat changes, or if these changes caused a gradual disappearance of the "cycles" after 1985.
Actions directed at the management of some herbivores, especially the larger species,
often aim to increase the harvestable population by changing the population sex and age ratios. Losses due to predation can be reduced by predator control, and winter losses due to starvation can be reduced by supplemental feeding. All of these measures aim to increase population size and to keep the population at a high and stable level. In the past, population sizes of the largest species, e.g., moose, most likely changed dramatically over time, even before man started to significantly influence them. In Fennoscandia, management efforts have been successful at increasing the population sizes of moose. However, keeping the population at a high-yield level also implies that one can more easily obtain highly precise information from the population. Otherwise, the population might be out of control, becoming destabilized and starting to show large fluctuations (Ferguson and Messier 1996, Saether 1997). In Fennoscandia, we have also experienced heavy moose damages, and the impact of overgrazing by reindeer is under debate.
What is the long-term impact of high and stable populations of large herbivores? How will "biodiversity" and ecosystem processes be influenced? Are we reducing important processes in the boreal forests by managing the herbivore populations at a constant and high level? Should management plans include actions to keep the populations moving from low to high densities?
We have to realize that large animals, in particular, are more than passive components of ecological systems, and that the implications of this for wildlife management are substantial and long lasting (Naiman 1988). Management of boreal forest ecosystems has implications that are both substantial and long lasting. There is a challenge to manage the forests for the mammalian herbivores, but there is also a challenge to manage the populations of mammalian herbivores
for the forests.
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Acknowledgments
We thank Öje Danell, Göran Ericson, Göran Högstedt, and Gert Olsson for suggestions of valuable literature. Financial
support was given by the Swedish Natural Science Research Council,
Beijer International Institute for Ecological Economics, the MacArthur
Foundation, and the Swedish Institute.
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APPENDICES
Appendix 1. Summary of information on characteristics of the
numerical fluctuations of mammalian herbivores in Nearctic boreal
forests. The amplitude is given as the ratio between the highest and
lowest values in the data set. Abbreviations are: np, not periodic;
trc, countings of tracks, signs of feedings or houses/push-ups; trp,
trapping in order to estimate population density; har, harvest of
animals for nonscientific purpose; cnt, counting of animals.
Species
|
Region
and period
|
Periodicity
(yr)
|
Amplitude
|
Type
of information
|
Reference
|
Moose
|
Isle
Royale, 1960-1983
|
about
30
|
2
|
cnt
|
Peterson
et al. (1984)
|
White-tailed deer
|
Ontario, Canonto, 1953-1986
|
24
|
11
|
har
|
Fryxell et al. (1991)
|
Least chipmunk
|
Minnesota, 1954-1975
|
7
|
10
|
trp
|
Erlien and Tester (1984)
|
Eastern chipmunk
|
Minnesota, 1954-1975
|
9
|
10
|
trp
|
Erlien and Tester (1984)
|
American red squirrel
|
Canada, 1926-1984
|
np
|
about 10
|
har
|
Obbard (1987)
|
Alberta,
1965-1975
|
np
|
6
|
trp
|
Keith
and Cary (1991)
|
Yukon,
1987-1994
|
np
|
2-5
|
trp
|
Boutin
et al. (1995)
|
Minnesota,
1954-1975
|
11
|
10
|
trp
|
Erlien
and Tester (1984)
|
American flying squirrel
|
Alberta, 1965-1975
|
np
|
about 50
|
trp
|
Keith and Cary (1991)
|
American beaver
|
Canada, 1919-1984
|
np
|
6
|
har
|
Novak (1987)
|
Ontario,
1919-1984
|
np
|
about
100
|
har
|
Novak
(1987)
|
Meadow jumping mouse
|
Manitoba, 1969-1982
|
4?
|
about 90
|
trp
|
Mihok et al. (1985)
|
Gapper's red-backed vole
|
N.W.T. , 1961-1975
|
3-4?
|
about 100
|
trp
|
Fuller (1977)
|
Manitoba,
1969-1982
|
np
|
about 10
|
trp
|
Mihok
et al. (1985)
|
Northern red-backed vole
|
Yukon, 1976-1989
|
3-4?
|
47
|
trp
|
Gilbert and Krebs (1991)
|
Yukon,
1976-1994
|
3-4?
|
10-50
|
trp
|
Boutin
et al. (1995)
|
Meadow vole
|
Manitoba, 1968-1983
|
4?
|
200
|
trp
|
Mihok et al. (1985)
|
Muskrat
|
Hudson
Bay Co., 1821-1913
|
10
|
14
|
har
|
Elton
and Nicholson (1942)
|
Manitoba,
1920-1948
|
4-5
|
4
|
har
|
McLeod
(1950)
|
Saskatchewan,
1915-1960
|
6
|
15
|
har
|
Butler
(1962)
|
Canada,
1751-1847
|
not
10
|
|
har
|
Bulmer
(1974)
|
Canada,
1848-1909
|
10
|
|
har
|
Bulmer
(1974)
|
Canada,
1920-1944
|
10
|
|
har
|
Bulmer
(1974)
|
Canada,
1945-1969
|
not
10
|
|
har
|
Bulmer
(1974)
|
Canada,
1919-1984
|
|
5
|
har
|
Boutin
and Birhenholz (1987)
|
Yukon,
1988-1994
|
|
9
|
trc
|
Boutin
et al. (1995)
|
Deer mouse
|
Manitoba, 1969-1982
|
np
|
3-10
|
trp
|
Mihok et al. (1985)
|
Yukon,
1976-1989
|
np
|
12
|
trp
|
Gilbert
and Krebs (1991)
|
North American porcupine
|
Alberta, 1965-1975
|
np
|
7
|
trp
|
Keith and Cary (1991)
|
Snowshoe hare
|
Canada, 1848-1909
|
10
|
|
har
|
Bulmer (1974)
|
Alberta,
1961-1977
|
9-10
|
about
100
|
trp
|
Keith
(1983)
|
Yukon,
1977-1994
|
about
9
|
26-44
|
trp
|
Boutin
et al. (1995)
|
Appendix 2. Summarized information on characteristics of the
numerical fluctuations of mammalian herbivores in boreal forests of
the Palaearctic. Amplitude is given as the ratio between the highest
and the lowest values in the data set. Abbreviations are: np, not
periodic; que, questionable on population size; trc, countings of
tracks, signs of feedings or houses/push-ups; trp, trapping in order
to estimate population density; har, harvest of animals for
nonscientific purpose; cnt, counting of animals; sd, semidomestic.
For data marked with an asterisk, the regularity of fluctuation
disappeared around 1985.
Species
|
Region
and period
|
Periodicity
(yr)
|
Amplitude
|
Type
of information
|
Reference
|
Moose
|
European
Russia, 1650-1995
|
100-200?
|
100
|
har
|
L. Baskin (unpubl. data )
|
Reindeer (sd)
|
Sweden, 1910-1996
|
25-35?
|
2
|
cnt
|
Ö. K. Danell (unpubl. data )
|
Eurasian red squirrel
|
Sweden, 1978-1988
|
np
|
15
|
trc
|
Andrén and Lemnell (1992)
|
Finland,
1964-1983
|
8
|
|
que
|
Lindén
(1988)
|
Arkangelsk,
1909-1971
|
5
|
25
|
har
|
Kiris
(1973)
|
Kola,
1909-1971
|
5
|
8
|
har
|
Kiris
(1973)
|
M.
Russia, 1909-1971
|
5
|
40
|
har
|
Kiris
(1973)
|
M.
Urals, 1940-1970
|
11
|
7
|
cnt
|
Mikheeva
(1975)
|
W.
Siberia, 1909-1971
|
5-9
|
6
|
har
|
Kiris
(1973)
|
E.
Sayan, 1932-1972
|
9
|
80
|
cnt
|
Lubetskaja
(1976)
|
Krasnoyarsk,
1909-1971
|
|
10
|
har
|
Kiris
(1973)
|
Yakutiya,
1909-1971
|
5-7
|
5
|
har
|
Kiris
(1973)
|
Yakutiya,
1933-1957
|
6
|
2
|
|
Egorov
(1961)
|
Kamchatcka,
1960-1986
|
2-4
and 7-9
|
14
|
|
D'yachkov
(1988)
|
Siberian
chipmunk
|
W. Siberia
|
np
|
|
cnt
|
Telegin (1980)
|
Yakutiya,
1933-1957
|
np
|
2
|
cnt
|
Egorov
(1961)
|
Eurasian beaver
|
S. Urals, 1949-1979
|
30?
|
28
|
cnt
|
Dvornikova (1987)
|
Northern birch mouse
|
Karelia, 1959-1972
|
np
|
10
|
trp
|
Ivanter (1975)
|
European water vole
|
Karelia, 1932-1972
|
np
|
22
|
har
|
Ivanter (1975)
|
W.
Siberia, 1898-1961
|
10
|
|
har
|
Panteleev
(1968)
|
Bank vole
|
Sweden,
1961-1988
|
4
|
55
|
trp
|
Marcström
et al. (1990)
|
Sweden,
1971-1988
|
3-4
|
216
|
trp
|
Hörnfeldt
(1994)
|
Sweden,
1976-1986
|
3-4
|
350-1600
|
trp
|
Marcström
(1989)
|
Finland,
1957-1968
|
4-5
|
22
|
trp
|
Skarén
(1972)
|
Finland,
1970-1993
|
3-4
*
|
100
|
trp
|
Hanski
and Henttonen (1996)
|
Lapl.
Res., 1935-1972
|
5
|
100
|
trp
|
Bashenina
(1981)
|
Karelia,
1944-1972
|
4
|
80
|
trp
|
Ivanter
(1975)
|
Komi,
1935-1972?
|
3
|
100
|
trp
|
Bashenina
(1981)
|
Moscow,
1948-1975
|
3
|
15
|
trp
|
Bashenina
(1981)
|
Ryazan,
1951-1973
|
4
|
12
|
trp
|
Bashenina
(1981)
|
Novgorod,
1949-1970
|
5
|
6
|
trp
|
Bashenina
(1981)
|
Tatar,
1936-1959
|
3-5
|
10
|
trp
|
Bashenina
(1981)
|
Grey red-backed vole
|
Sweden, 1971-1988
|
3-4
|
248
|
trp
|
Hörnfeldt (1994)
|
Finland,
1970-1993
|
3-4
*
|
100
|
trp
|
Hanski
and Henttonen (1996)
|
Sakhalin,
1957-1981
|
4?
|
15
|
trp
|
Ryabov
(1982)
|
Northern red-backed vole
|
Finland, 1970-1993
|
3-4 *
|
100
|
trp
|
Hanski and Henttonen (1996)
|
Karelia,
1958-1972
|
4?
|
26
|
trp
|
Ivanter
(1975)
|
Upper
Pechora, 1950-1984
|
4
|
30
|
trp
|
Bobretsov
(1986)
|
M.
Urals, 1973-1985
|
3
|
100
|
trp
|
Bernstein
et al. (1987)
|
Yakutiya,
1960-1984
|
4?
|
230
|
trp
|
Tugutov
et al. (1985)
|
Field vole
|
Sweden,
1961-1988
|
4
|
|
trp
|
Marcström
et al. (1990)
|
Sweden,
1971-1988
|
3-4
|
177
|
trp
|
Hörnfeldt
(1994)
|
Finland,
1969-1976
|
3
|
15
|
trp
|
Myllymäki
(1977)
|
Finland,
1970-1993
|
3-4
|
100
|
trp
|
Hanski
and Henttonen (1996)
|
Karelia,
1948-1972
|
5
|
20
|
trp
|
Ivanter
(1975)
|
Root vole
|
Finland,
1970-1993
|
3-4
|
100
|
trp
|
Hanski
and Henttonen (1996)
|
Karelia,
1958-1972
|
np
|
36
|
trp
|
Ivanter
(1975)
|
Omsk,
1948-1982
|
7-10
|
|
har
|
Galaktionov
and Efimov (1988)
|
Novosibirsk,
1948-1982
|
5-12
|
|
har
|
Galaktionov
and Efimov (1988)
|
Tyumen,
1948-1982
|
5-6
|
|
har
|
Galaktionov
and Efimov (1988)
|
Yakutiya,
1960-1984
|
3
|
220
|
trp
|
Tugutov
et al. (1985)
|
Wood lemming
|
Karelia, 1957-1971
|
6
|
25
|
trp
|
Ivanter (1975)
|
Yakutiya,
1966-1984
|
11
|
260
|
trp
|
Mordosov
(1988)
|
Yellow-necked mouse
|
Sweden, 1961-1988
|
4
|
15
|
trp
|
Marcström et al. (1990)
|
Harvest mouse
|
Karelia, 1957-1971
|
np
|
25
|
trp
|
Ivanter (1975)
|
Northern pika
|
Baikal, 1961-1984
|
|
20
|
|
Shvetsov et al. (1984)
|
Yakutiya,
1962-1984
|
np
|
|
|
Krivosheev
and Krivosheeva (1991)
|
Mountain hare
|
Norway, 1945-1966
|
3-4
|
65
|
har
|
Moksnes (1972)
|
Norway,
1963-1976
|
3-5
|
8
|
har
|
Hjeljord
(1980)
|
Sweden,
1963-1980
|
3-4
|
6
|
har
|
Hörnfeldt
et al. (1986)
|
Finland,
1836-1976
|
|
100
|
har
|
Siivonen
(1948)
|
Finland,
1849-1934
|
|
12
|
har
|
Siivonen
(1948)
|
Finland,
1946-1984
|
9-11
and 4
|
|
que
|
Ranta
et al. (1997)
|
Russia,
1909-1981
|
9-
15
|
|
|
Tomilova
(1981)
|
Siberia
|
10
|
65
|
|
Naumov
(1960)
|
Yakutiya
Verchoyansk
|
12
|
350
|
|
Tavrowskii et al.
(1971)
|
Address of Correspondent:
Kjell Danell
Department of Animal Ecology Swedish University of Agricultural Sciences SE-901 83 Umeå, Sweden
Phone: +46 90 7865865 Fax: +46 90 7866817 kjell.danell@szooek.slu.se
*The copyright to this article passed from the Ecological Society of America to the Resilience Alliance on 1 January 2000.
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