lars-henrik henriksson - diva portal
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Division for Nature & Environment
Lars-Henrik Henriksson
Movement pattern of Moose (Alces
alces) in southwestern Sweden in relation to highway traffic intensity
Rörelsemönster av Älg (Alces alces) i sydvästra Sverige
relaterat till trafikintensitet vid motorväg
Biology D-level thesis
Date/Term: Supervisor: Per Widén Ass. Supervisor Mattias Olsson Examiner: Eva Bergman Serial Number: X-XX XX XX
Karlstads universitet 651 88 Karlstad Tfn 054-700 10 00 Fax 054-700 14 60
Abstract GPS telemetry is a method with good accuracy to determine animal movements in the terrain. It
is necessary to determine locations of free-ranging animals in order to understand movement
patterns and habitat use, and to understand the consequences of human impacts like highways.
This study aims to describe moose movement patterns and to evaluate the effect of highway
traffic intensity on moose movements across a highway.
Moose in Southwestern Sweden have different movement rates throughout the year. Increased
movement rate for females was observed during spring and summer. The breeding season (15
September -15 October) is the most important season for bulls. Our result shows that bulls
significantly increase their movement rate during the rut, compared to other times during the fall.
Movement rate increased twice compared with female movement rate during this period. No
difference was observed during the rutting period for females (15 September- 15 October)
compared with no rutting period during fall. During winter time, both sexes retain low
movements, mainly caused by energy saving actions. A distinct crepuscular rhythm was
exhibited during the summer and fall season, movements were more intense during dawn and
dusk hours. No distinct crepuscular rhythm was noticed during winter and spring seasons.
The traffic intensity at highway E6 in Southwestern Sweden increases during the morning hours
and reaches its maximum during midday. Moose in southwestern Sweden crossed highway E6
more often at night time than day time. Thus highway crossings by moose occurred at times of
peak moose movements, and traffic volume had lower importance.
Studier med hjälp av GPS är en noggrann metod för att bestämma djurs rörelser i terräng.
Det är av stor relevans att studera olika djurs rörelsemönster, habitat val och dess rörelser kring
motorvägar. Studien inriktar sig på rörelsemönster av älg kring motorväg relaterat till trafik
intensitet.
Resultatet visar att tjurar ökar sin rörelseaktivitet under brunst perioden jämfört med den övriga
höstperioden. Kor har ingen påvisad aktivitetsökning under brunstperioden. Under vintersäsong
minskar båda könen sin aktivitet, avgörande faktorer är att spara energi. Dygnsaktiviteten har
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tydliga aktivitetsökningar vid gryning och skymning under sommar och höst säsong.
Rörelsemönstret av älg varierar mycket genom alla årstider. Älgkor har en bevisligen högre
rörelseintensitet under vår och sommar. Brunst perioden (15 Sep-15 Okt) har tjurar högre
rörelseintensitet.
Trafik intensiteten på motorväg E6 har en kraftig ökning kring morgontimmarna och når sitt
maximum vid middagstid. Älgarna i studieområdet visar en tendens att passera motorvägen oftare
under natten jämfört med dagen. Studiens resultat visar att älgpassager sker oftast vid tidpunkter
då älgen har som högst rörelseaktivitet, trafikintensiteten har en mindre betydande roll.
Introduction During this century, roads and railroads have become important infrastructure networks,
contributing to fragmentation of wildlife habitats. Roads and highways also affects the
distribution of animal populations and limits the ability of individuals to disperse. The land area
is divided in smaller fragments and animal populations in smaller subpopulations, which may
cause higher vulnerability for catastrophic events and diseases (Jaeger and Fahrig 2004). Other
problems can be the management of small isolated populations, since the hunting may cause
demographic effects.
Population density is a principal factor that determines ungulate presence along roads, and
increased populations have been correlated with increased ungulate-vehicle collisions (Farell et
al. 2002). Other ungulate-vehicle collisions factors are seasonal behaviour, traffic speed and
traffic volume (Case 1978). In spring and early summer moose are vulnerable to collisions when
highway salts may attract them to roadsides. (Fraser 1979, Fraser and Thomas 1982). Roads have
great impact on local habitats and ungulates can be attracted to the roadside plantings (Case 1978,
Feldhamer et al. 1986, Warning et al. 1991).
Fencing has shown great effect reducing moose-vehicle accidents (Seiler 2003) and road fencing
has become a standard method in Swedish road management. Traffic accidents with moose has
increased rapidly since 1970 and today there are about 5000 police reported accidents each year
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in Sweden. Estimated annual number of collisions with ungulates in Europe is 507,000 (Groot-
Bruinderink and Hazebroek 1996). In Sweden, vehicle collisions with moose more often results
in human injury and death compared to other ungulate related collisions. Until 2001, more than
5000 km of highway have been fenced against large ungulates (O. Eriksson SNRA, pers. comm.).
The Swedish National Road Administration (SNRA) intends to increase fencing, when new
highways are upgraded and also to build wildlife passages to decrease the potential barrier effects
on moose and other animals. However, the main reason for ungulate mitigations is to increase
traffic safety (Seiler A, 2003).
Knowledge about the barrier effect of fenced roads on ungulates is limited. Experiments
indicated that exclusion fences decreased moose movements across roads by 90% (Skölving
1985, Nilsson 1987). Wheras a recent study in nothern Sweden (Seiler et al.2007) report a barrier
of 70%. Thus roadfencing considerably increases the barrier effect and fragmentation. In
addition, roadfencing may also result in local accumulations of moose along the fenced roads.
These accumulations along the road may cause forest damages (Ball and Dahlgren 2002).
The moose uses small units or patches for foraging and cover, in relation to their total home
range sizes. By definition, home range is the area an animal uses for its daily living (Burt, 1943;
Jewell, 1996). Moose movements strongly related to the forage-energy availability and forage-
amount and quality. Moose males use larger home-ranges than females (Cederlund and Sand
1994.). There are two explanations to this phenomenon. First the males have a bigger body size
and second, male moose have larger energetic requirements (Harestad and Bunnell, 1979).
Intersexual differences in range use and home-range size could be explained partly by the
dimorphism in body size. During the rut males are more mobile and large-bodied, large-antlered
mature males moves on larger areas than younger males.
In this study, I analyzed the daily and seasonal movement pattern of moose. The specific
objectives were to examine daily and seasonal movement patterns of moose in Southwestern
Sweden, including differnece between sexes, and to evaluate if movements across highway E6
are related mainly to traffic intensity or to natural movement patterns.
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Material and methods The study was conducted in the south-western parts of Sweden north of Uddevalla. The study
area is divided by the highway E6, which stretches from Trelleborg in south to Svinesund, near
the border of Norway. The Swedish part of the highway E6 is under reconstruction and converted
from a two lane road without fence to a fenced four lane highway (M Olsson pers.com). The
eastern side of E6 was dominated by a homogenous coniferous forest (70% of the land area). The
western part consisted of a mixture of boreal forest (40%) and farmlands (30%). The proportion
of clear cuts was equal on both sides (10%). Norwegian spruce (Picea abies) and Scots pine
(Pinus sylvesteris) dominate the boreal forests, common hardwood species are alder (Alunus
glutinosa), Oak (Querqus robur), birch (Betula pendula, Betula pubescens) and mountain ash
(Sorbus aucuparia). Early successional stages after logging consisted of birch, aspen, willow and
other deciduous species. Logging has fragmented the forests into subunits of varying successional
stages.
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- Forest
- Agriculture
- Urban areas
- Ocean & water
1 km
A
B
C
Figure 1. (M Olsson, review of studyarea). The highway E6 study area with wildlife passages (solid dots) from south to north: wildlife overpass completed June 2000, wildlife underpass completed June 2000, wildlife overpass completed June 2004. Highway reconstruction segments are indicated: A) finished in June 2000, B) finished in June 2004, C) finished in summer 2007. Open dots indicate capture locations of the 24 collared moose. Circles indicate mean annual home ranges of males and female moose calculated with minimum convex polygon method (MCP) and 95 % fixed-kernel method. From largest to smallest circle: MCP-male (48.6 km2), MCP-female (20.8 km2), 95 % fixed-kernel-male (19.1 km2) and 95 % fixed-kernel-female (12.1 km2).
During 2004, moose were counted by aerial survey. The result showed a difference in moose
density between the sides. East side of the highway the moose population was estimated to 9
moose/1000 ha and on the west side 5 moose/1000 ha (Svensk Naturförvaltning 2004). 30% of
the moose were bulls, 40% cows and 30% calves. The birth rate was estimated to be 0.9
calve/cow (M Olsson pers.com).
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In total, 24 individuals were GPS-collared, 6 adult bulls, 12 adult cows, 2 subadult cows and 4
subadult bulls from year 2002 to 2005. Moose positions were collected at 2-hour intervals and the
number of moose positions totaled 76170 during the study period of 46 months. Each moose was
collared up to 22 months before collars fell off due to preprogrammed drop-off mechanisms. Data
for individual animals were divided into four seasons based on thermal conditions (SMHI,
National database) and moose biology (Pulliainen, 1974; Cederlund and Okarma, 1988); spring:
16 March – 15 May, summer: 16 May – 30 August, fall: 1 september – 30 november and winter:
1 December – 15 March. All data were sorted based on id, date and time. Moose positions were
collected from 0000 to 2400, with time intervals of 2 hour. Data were managed in Microsoft
Excel. Rut period was selected for both gender during rut period from 15 September to 15
October. Movements are measured in meters/ time period.
We used ArcView GIS, version 3.3 (Environmental systems research institute, Redlands,
California, USA) for all GIS (Geographic system and Science)analyses. A road-grid was
imported to the GIS analyses including highway E6 and other local roads to be able to manage
and count the moose crossings. We defined a movement across the highway by two subsequent
locations documented on each side of the highway. Concern was taken to GPS errors and their
influence on location accuracy.
Differences in movement rates between males and females during all seasons were analyzed
using Wilcoxon Matched pair tests. Differences in movement rates during rut were analyzed
using Mann Whitney U-test.
We used multiple linear regressions to identify the relative importance of variations in traffic
volume on highway E6 and daily movement patterns of moose on the timing of overpass use by
moose (Statistica 7.1, StatSoft, Inc.). Specifically, the average distance moved by GPS-collared
moose during each of 12 2-hour time periods and mean traffic volumes during crossing hours
were regressed on the total number of overpass crossing by moose during respective 2-hour time
periods. Datasets were divided by seasons since the movement pattern differed throughout the
year. Analyses were considered significant at (P<0, 05).
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Results Seasonal movement pattern
spring
0 50
100 150 200 250 300 350 400
00:00 02:00 04:00 06:00 08:00 10:00 12:00 14:00 16:00 18:00 20:00 22:00
Movement m/ 2h period
female male
Figure 2. Mean movement budgets of 2hour periods during spring season for males and females. Movements are
measured in meters/ 2-hour periods.
The daily activity pattern in spring (figure 2), shows two peaks, one at 0600 h and one at 2000-
2200 h. The evening peak was more pronounced than the morning peak. Differences in
movement rates between males and females was observed during spring (z=3.06; n=12;
p=0.002). Males have higher movement rate than females during all time periods in spring
season.
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summer
0 50
100 150 200 250 300 350 400
00:00 02:00 04:00 06:00 08:00 10:00 12:00 14:00 16:00 18:00 20:00 22:00
Movement m/ 2h period
female male
Figure 3. Mean movement budgets of different time periods during summer season for males and females.
Movements are measured in meters/ 2-hour periods.
The daily activity pattern in summer season 16 may – 30 August (Figure 3), shows two peaks,
r
ifferences in movement rates between males and females was observed during summer (z=3.06;
one at 0400 h and one at 2200 h. The results indicate that moose are mainly active at crepuscula
hours and also during the short and light summer nights.
D
n=12; p=0,002). At peaks, males moved more intensively than females, compared to other times.
Minimum activity occurred from 0800-1800 h, with all male values under mean movement 100
meters/time period and female values under 75 meters/ time period. Female moose increased
their activity during night hours compared to daytime hours. Especially high movements-rates
were observed during 2200-0000 with a mean movement rate of 225 meters/time period.
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fall
0 50
100 150 200 250 300 350 400
00:00 02:00 04:00 06:00 08:00 10:00 12:00 14:00 16:00 18:00 20:00 22:00
Movement m/ 2h period
female male
Figure 4. Mean movement budgets of different time periods during fall for males and females. Movements are
measured in meters/ 2-hour periods.
A distinct crepuscular rhythm was exhibited during the fall period (Figure 4). During fall males
almost have double activity rate than females and increases their movements during all time
periods of the day.
A difference between gender was observed during fall season (z=3.06; n=12; p=0,002).
Moose females use night hours, mean movement 100 meters /time period. A peak is reached
during 1800-2000 h, when females increases their movements, mean movement 150
meters/timeperiod.
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winter
0 50
100 150 200 250 300 350 400
00:00 02:00 04:00 06:00 08:00 10:00 12:00 14:00 16:00 18:00 20:00 22:00
Movement m/ 2h period
female male
Figure 5. Mean movement budgets of different time periods during winter season for males and females. Movements
are measured in meters/ 2-hour periods.
During the winter period, 1 December – 15 march, moose seams to reduce their movements.
During time period 1600-1800 h moose movements increase and reach a peak, wich is the
normaly crepuscular time. During 0400-0800 moose movements seems to be short and mean
movement averages 50 meters/timeperiod. No differences between gender was observed during
winter (z=0.71; n=12; p=0,48).
Moose females have low winter movements during almost all time periods, except 1800-2000
when females increase their activity and reach a peak (Figure 5).
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Rutting movements of moose
females was observed during the rutting period (z=-4.17; n1=18; A difference between males and
n2=9; p<0,001). The results show that bulls in average moved 250 meters during each 2-hours
period, as to be compared to the females lesser movement rate of 100 m (Figure 6).
m f0
50
100
150
200
250
300
mov
emen
t
Figure 6. Differences between males and females during the rut.
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A difference was observed during the rutting period for males compared with no rutting period
during fall (z=-3.04; n1=9; n2=9; p=0,0012) (Figure 7). During the rutting period males increase
their movement rate from 150 m to 250 m per time interval. Results indicate a 60% higher male
mobility during rut season, compared with other times during the fall.
yes norut
0
40
80
120
160
200
240
280
320
mov
emen
t
Fig 7. Rutting behavior males.
No difference was observed during the rutting period fore females compared with other times
during the fall (z=-0.27; n1=18; n2=19; p=0,80) (Figure 8). The mean movement during the rut
season indicates 110 m movement during the 2-hour intervals; same as other times during fall.
yes norut
0
40
80
120
160
200
240
280
320
mov
emen
t
Fig 8. Rutting behavior females.
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Moose highway crossings in relation to traffic intensity
The traffic intensity increases during the morning hour and reaches its maximum during midday.
During the afternoon the traffic decreases, but is relative high at hour 2000-2200. During this
timeperiod moose have their highest highway crossings rates. Traffic intensity peaked during
summer period and decreased during autumn. Moose crossed the highway more often at night
time than during day time (Figure 9).
0,0 2,0 4,0 6,0 8,0
10,0 12,0 14,0 16,0 18,0 20,0
0 2 4 6 8 10 12 14 16 18 20 22Time of the day
Percent
Highway crossings Traffic intensity
Figure 9. The percent of highway crossings in relation to mean traffic intensity.
9 (7 males and 2 females) of the 24 collared moose have crossed the highway during the study
period. In total, 155 passages have been detected. Moose number 1 has crossed the highway at 95
(61 % of all crossings) occasions during the period 2002-2004. Moose female numbers 11 with
one calf has crossed the highway at two times during the winter season 2004. Additional
crossings are made by solitary females without calf.
We used multiple linear regression to test for movement rate and traffic volume effects on moose
crossing frequencies during all seasons. A model containing traffic volume and hourly movement
data for moose explained 53% of the variation in the timing of highway crossings by moose
(F(2,29)=16.44; r2=0.53; p<0.001). The number of moose crossings was negatively correlated to
mean traffic volume, but not significant at the p=0.05 level (Beta=-0.21+0.14 SE; n=32; p=0.16).
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The number of moose crossings was positively correlated with hourly movement rate for moose
(Beta=0.61+0.14 SE; n=32; p<0.001). Thus highway crossings by moose occurred at times of
peak moose movements, and traffic volume had lower importance.
Discussion The adaptive value of activity patterns has been well recognized (Aschoff, 1966). The daily
activity of an animal is a result from a complex trade-off between optimal foraging time, social
ecology, competitive and predator-prey interactions, environmental and physiological constraints,
and energy requirements. Other studies show that ungulates have especially daily and seasonally
routines. The Elk (Cervus elaphus) use their environment for daily activities like foraging, resting
and moving (Green 1990).
The double-peaked 24-hour rhythm of moose activity is common for a great number of species
(Aschoff 1966), and are found in other cervids (Cederlund 1989). Moose change their behavior
between periods of browsing and resting/ruminating. The moose individuals spend time at their
requirements both at day and night time but mostly at night time. The daily activity pattern is
synchronized between dawn and dusk (Miquelle 1989).
Behavioral rhythms play a major role in ecological relations of a species and form a part of its
evolutionary adaptation. Other important adaptations are related to seasonal and diurnal
variations in the environment (Cloudsley-Thompson 1961; Risenhoover 1986). Knowledge of
daily and seasonal activity patterns and time budgets are essential for evaluating foraging
strategies for herbivores (Cederlund et al. 1989). This provides us with useful information about
how ungulates spend their time and their living. Theoretically, allocation of time is usually
considered as an optimization process, whereby the time spent on an activity should be increased
as long as the resulting gain in time spent per unit of food exceeds the costs (MacArthur and
Pianka 1966).
Comparisons between the sexes and between seasons within a population, and between
populations, can clarify how animal’s strategies adapt it to different environmental conditions
(Zhang 2000). Ruminating animals have a serial foraging-resting-foraging activity pattern during
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the 24 h period. Most ungulates feed more in the early morning and late afternoon than other
times of day.
Interactions among the various elements of weather and other environmental and biological
conditions including day length, food supply, biological clock and reproductive conditions
controls the activity pattern of moose, (Garshelis et al. 1980).
My results indicated that moose responded to increasing light intensity during spring and
summer. Long daylight hours result in high degree of photosynthetic activity in plants.
There is evidence that females maintain large home range sizes in spring (including parturition in
late May to early June) (Markgren, 1969). High movements in spring season indicates high rate
of food patch allocating, which is distributed over the home-range area (Clutton-Brock et al.
1982). Plants during spring and early summer have low rates of fibrous tissue, which has low
grade of digestibility which are important fore lactating females (Bliss 1962).
A reduction in winter activity conserves energy and minimizes the negative energy balance
(Moen 1976). Usually ungulates take in less energy than they need during the winter and
consequently loose weight. Therefore, body reserves accumulated prior to winter are an
important aspect of nutritional strategy. One important factor that might impede movements is
snow depth (Phillips et al. 1973). Movements in snow accumulations results in increasing costs
of locomotion. Obviously moose try to conserve energy during wintertime.
Male moose have smaller home-ranges during winter compared to other seasons (Olsson et al.
unpublished). During winter moose females have lower metabolic needs, and choose areas with
great food availability (Houston 1968, Loisa and Pullianen 1968, Philips et al. 1973). Another
strategy to save energy might be that moose in wintertime keep close to the forest edges to avoid
wind exposure. Moose only walk as far as necessary into clear-cut areas to find food (Hamilton et
al. 1980).
My reults of spring period 16 March – 15 May, the local whether conditions may fluctuate and
the presence of snow conditions may decrease moose movements. However, snow cover during
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the study never exceeded the amount that would impede moose movements (Cederlund and
Okarma 1988). Later in the spring when temperature, light and food availability increases, moose have the
opportunity to compensate for their weight loss during the winter period. During spring and
summer, increased movement rates during crepuscular hours appear to be the main reason why
moose tend to increase their overall movements rates. In spring dispersing moose individuals
establish new home ranges. One possible reason is inbreeding avoidance, which is effectively
accomplished by female dispersal. Other reasons why moose females establish new home range
areas is related to food availability. Moose females separate with their offspring during late
spring and dispersing yearlings often establish their home range close to their mothers (Cormack
Gates et al. 2005). Among adult females, the primary determinant of home range establishement
appears to be access to nutritious food ( Mace et al. 1984). This may explain the spring movemts
in my study.
Movement patterns can be affected by several factors. Fragmented landscapes by clear-cuts,
which means shorter distances to adequate food patch, would reduce movement intensity
(Cederlund and Sand.1994) and increase site fidelity. American studies on moose indicate
generally larger home range sizes during summer season. Similar-sized areas were occupied by
cows with calves and those with out calves (Phillips et al. 1973).
There is a significant difference in movements among bulls and cows during the rut. My results
show that bulls increase their movements during the rut whereas cows do not. Strategies between
genders clearly differ. Bulls produce maximum number of progeny, and need to optimize their
sexual activities so they are available fore meeting a potential mating female. At same time bulls
need to maintain a good physical condition so that they can survive the winter. Bulls can loose up
to 20 % weight during the rut, females never lose more than 5 % (Lent 1974). Forage intake by
North American males decreased dramatically during the rut and especially larger bulls decreased
their foraging intake during the mid September (Lent 1974). Large-bodied, mature male moose
invest more than younger, smaller males in reproductive activities as in other male cervids
(Cederlund G. Sand H. 1994).Competitive ability and reproduction success is strong related to
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body size in male ungulates, younger bulls need to optimize their breeding possibilities by
foraging during the rut (Clutton-Brock et al. 1982).
My results show greater mobility by males during the rut period in all daytime hours.
Studies have shown that bulls decreases their forage intake during the rut, and for approximately
2 week in mid-September larger, older bulls almost stop feeding (Dale G and Miquelle, 1990).
Bulls obviously concentrate their movements and time budget to find a mating female. During the
breeding season bulls have their highest energy costs compared with all seasons (Maher and
Byers 1987). My studie indicates that mature bulls spend more energy costs on movements
during the rut, because of optimizing their breeding possibilities.
My data indicates that different moose individuals behave different in relation to highways.
During the study period, I followed an adult male that crossed the highway at 95 occasions. This
individual crossed the highway even during the holiday-midsummer traffic, with a traffic
intensity of 1400 cars/hour. Probably, this male learned how to cross the highway without getting
hit.
Movement studies on grizzly bears close to highways described that bears crossed more often at
night than other normal periods of activity. Grizzly bears were apparently choosing to cross when
they were less likely to encounter highway traffic. Adult female bears were most sensitive to
traffic, especially when accompanied by cubs, males appears to be least sensitive. (Waller et al.
2005).
My studies shows that moose crossed the highway more often at night, compared to other time
periods. The results indicate that moose prefer to cross the highway between 22:00 to 04:00.
The most dangerous time for moose to cross this highway might be during the time period 20:00
to 22:00; here traffic volumes are relatively high and moose crossings common. We have noticed
a tendency that moose are most active during time period 22:00 to 04:00. This result may be the
best indicator explaining why moose crossings are most abundant during the night hours. The
high frequency of highway crossings during periods with higher movements might be explained
by seasonal movements. Most crossings are detected during summer and fall, which coincide
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with larger home-ranges during these periods. However, other factors like topographic
distribution, moose density, different age/sex classes, food-patch distribution or other influences
like habitat type (Chruszcz et al. 2003) have major effects. Moose females with calves prefer to
stay in habitats with less human disturbance. Moose movements across highly trafficked
highways appear to be most influenced of moose movements, and less to traffic volumes. Sounds
from vehicles and other disturbing factors close to roadsides do not prevent moose movements
especially during the crepuscular hours and night hours when moose movements generally is
high.
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Conclusion Males exhibit greater movement rates compared to females during all seasons, except winter.
Both males and females had distinct peaks of activity at crepuscular hours during spring, summer
and fall, but retained low movement rates through all hours during winter. Male movement rates
increased considerably during the peak period of rut, females had equal movement rates as other
time periods during the fall. Moose movements across highly trafficked highways appear to be
most influenced of moose movements, and less to traffic volumes. This indicates that the greatest
risk for collisions appears to be at times when moose move most, during crepuscular hours. This
theory should be evaluated further and compared to the timing of moose collisions during
different seasons.
Acknowledgments I would like to thank D-student Anders Olofsson and other friends for all willingness to help, and
support me during the study period. Special thanks to my assistant supervisor Matthias Olsson,
PhD student at Karlstad university, who have helped me a lot during this study. Last but not least
thanks to Per Widén, the supervisor for this project
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