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Dispersal patterns, social structure and mortality of wolves living in agricultural habitats in Spain

Wiley
Journal of Zoology
Authors:
  • Consultores en Biología de la Conservación
  • Fundación Biodiversidad

Abstract and Figures

Wolf Canis lupus dispersal, social structure and mortality have been extensively studied in natural and semi-natural areas of North America and northern Europe but have never been assessed in agricultural areas. From 1997 to 2004, 14 wolves (11 in a wolf-saturated area and three in a low-density area) were radio-collared with long-lasting transmitters in a Spanish agricultural area containing a high-human-population density, a dense network of roads and a shortage of wild ungulates. The wolves mainly feed on an overabundance of livestock carrion. Nine wolves (one of them, three times) dispersed during the study period. The mean age and distance of natal dispersal were 24.8 months and 32 km. The natal dispersal period was much longer in wolves radio-collared in the saturated area (mean >14.6 months) than in the low-density area (<1 month). All three of the dispersers living in the low-density area, and two of the six dispersers in the saturated area settled and bred during the study. The average tenure of six breeders was 4.5 years. The radio-collared wolves spent 72% of the monitoring time living in packs and the rest living in pairs, as dispersers or as peripheral wolves, but the percentage of loners was much higher in the saturated (33.5%) than in the low density (1.6%) areas. The overall annual mortality was 18% (lower than in most populations studied in less modified habitats), but lone wolves had a significantly higher mortality than members of packs and pairs. Nine wolves died during the study, none of them due to natural causes. In general, our results are very similar to those obtained in less modified habitats, except for the dispersal distance, which was much shorter than in other studies. We suggest that barriers and habitat constraints may reduce dispersal distances in our study area.
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Dispersal patterns, social structure and mortality of wolves
living in agricultural habitats in Spain
J. C. Blanco & Y. Corte
´s
Wolf Project-Conservation Biology Consultants, C/Manuela Malasa ˜na, Madrid, Spain
Keywords
Canis lupus; grey wolf; dispersal; pack
formation; tenure; mortality.
Correspondence
Juan Carlos Blanco, Wolf Project-
Conservation Biology Consultants,
C/Manuela Malasa ˜na 24, 28004 Madrid,
Spain. Tel:+34 91 5930456;
Fax: +34 91 4460447
Email: jc.blanco@ya.com
Received 8 August 2006; accepted
4 January 2007
doi:10.1111/j.1469-7998.2007.00305.x
Abstract
Wolf Canis lupus dispersal, social structure and mortality have been extensively
studied in natural and semi-natural areas of North America and northern Europe
but have never been assessed in agricultural areas. From 1997 to 2004, 14 wolves
(11 in a wolf-saturated area and three in a low-density area) were radio-collared
with long-lasting transmitters in a Spanish agricultural area containing a high-
human-population density, a dense network of roads and a shortage of wild
ungulates. The wolves mainly feed on an overabundance of livestock carrion. Nine
wolves (one of them, three times) dispersed during the study period. The mean age
and distance of natal dispersal were 24.8 months and 32 km. The natal dispersal
period was much longer in wolves radio-collared in the saturated area (mean
414.6 months) than in the low-density area (o1 month). All three of the
dispersers living in the low-density area, and two of the six dispersers in the
saturated area settled and bred during the study. The average tenure of six breeders
was 4.5 years. The radio-collared wolves spent 72% of the monitoring time living
in packs and the rest living in pairs, as dispersers or as peripheral wolves, but the
percentage of loners was much higher in the saturated (33.5%) than in the low
density (1.6%) areas. The overall annual mortality was 18% (lower than in most
populations studied in less modified habitats), but lone wolves had a significantly
higher mortality than members of packs and pairs. Nine wolves died during the
study, none of them due to natural causes. In general, our results are very similar
to those obtained in less modified habitats, except for the dispersal distance, which
was much shorter than in other studies. We suggest that barriers and habitat
constraints may reduce dispersal distances in our study area.
Introduction
Dispersal is the principal means by which maturing grey
wolves Canis lupus leave their natal packs, reproduce and
potentially expand their population’s geographic range
(Fuller, Mech & Cochrane, 2003). In social animals such as
wolves, dispersal is an important mechanism for population
regulation (Lidicker, 1975), and is likely to influence survi-
val (Waser, 1996).
Grey wolf dispersal has been studied extensively in North
America (see review in Fuller et al., 2003). In Europe, the
only dispersal data available are from Scandinavia (Wabak-
ken et al., 2001) and Finland (Kojola et al., 2006). All these
studies have been carried out in wilderness or only partially
modified areas, where wolves prey on wild ungulates and
there are no obvious barriers to wolf dispersal. Nevertheless,
many wolf populations live in close contact with humans in
many parts of southern Europe, the Middle East and south-
ern Asia (Boitani, 2003), where habitat characteristics differ
considerably from those of the above-mentioned regions.
Moreover, considering the recent expansion of wolves in
much of their range (Mech, 1995), it is likely that in the
future they will increasingly occupy more modified regions.
In Spain, following centuries of severe persecution,
wolves reached their lowest point in the 1970s. Subse-
quently, they were partially protected and the largest re-
maining population started to increase and expanded
southward and eastward (Blanco, Reig & Cuesta, 1992).
During the 1980s, wolves appeared in flat, agricultural,
treeless and densely inhabited areas with a near-absence of
wild ungulates. In these areas, the habitat is patchy and
there is a dense network of highways, roads, railways, rivers
and transport infrastructures that sometimes act as semi-
permeable barriers for wolves (Blanco, Corte
´s & Virg ´
os,
2005). Wolves mainly feed on livestock carcasses they find in
dumps or scattered throughout the countryside, and during
most of the study period a surplus of food was available
(Corte
´s, 2001). These habitat conditions may influence
dispersal and population dynamics, parameters that have
not been documented previously in this kind of habitat.
This paper assesses the dispersal patterns of wolves living
in this agricultural area and other parameters related to
Journal of Zoology 273 (2007) 114–124 c2007 The Authors. Journal compilation c2007 The Zoological Society of London114
Journal of Zoology. Print ISSN 0952-8369
dispersal, such as social structure and mortality. Our aim is
to compare our results with those obtained in the studies
carried out during the last 40 years in wilderness and semi-
wilderness areas.
Study area
We conducted the study in the provinces of Valladolid,
Zamora, Segovia and A
´vila, in north-central Spain (Fig. 1).
The study area comprises flat, almost treeless agricultural
land, with cereal and maize fields providing some cover for
wolves during certain seasons. Remnant forests only cover 7
and 26% of the area north and south of the River Duero
(which bisects the study area), respectively. These fragmen-
ted forest patches are generally privately owned, with
restricted public access. Wild boar Sus scrofa, the only wild
ungulate in the area, is common in the remnant forests
(c. 1 animal km
2
) but almost absent in agricultural areas
(Corte
´s, 2001). European rabbits Oryctolagus cuniculus are
locally abundant and Iberian hares Lepus granatensis reach
densities of 3.5 individuals km
2
in optimal areas (Calzada
& Mart ´
ınez, 1994). The human population (10–40 in-
habitants km
2
) engages in agriculture and, to a lesser
extent, in livestock farming.
Sheep flocks are usually protected by shepherds during
the daytime and locked in pens at night, and so damage to
livestock is low and people’s tolerance of wolves is higher
than in other parts of Spain (Blanco & Corte
´s, 2002).
The main food of wolves in our area is livestock carrion.
In 603 scats analysed, livestock carrion comprised 75.3% of
the biomass consumed by wolves, and wild boar just 5.7%
(Corte
´s, 2001). Until the end of 2000, most of the carcasses
of the livestock that died in the farms were accessible for
wolves. In 1999, we interviewed 129 shepherds, who de-
clared that they disposed of the dead livestock in open pits
(77.3%) or left them in the fields (8.5%) (Corte
´s, 2001). In
late 2000, bovine spongiform encephalopathy (BSE) was
detected in Spain; new laws that obliged farmers to inciner-
ate sheep and cattle carcasses were strictly enforced and
carrion pits were progressively closed, and so food avail-
ability for wolves started decreasing. In 2003, five of six
carrion pits located in the territories of radio-collared
wolves were closed. As a consequence, we consider two
periods in the study: until the end of 2000, when food was
apparently overabundant, and from 2001, when carrion
availability started to decrease.
At the beginning of the study, wolves were almost absent
south of the river Duero, with appreciable colonization of
this area from 1999 onwards. Throughout the whole study
period, wolf density was much higher to the north than
south of the river Duero, and in 2001 wolf density was
estimated at 1.63 and 0.77 packs/1000 km
2
, north and south
of the river Duero, respectively (Llaneza & Blanco, 2005).
North of the Duero, the population is apparently saturated.
North of the river Duero, low wolf hunting quotas are
allowed whereas to the south of the Duero they are fully
protected. Poaching is common on both sides of the river
(Corte
´s, 2001). North of the river Duero, the road density is
0.40 km km
2
when considering just paved roads, and
1.53 km km
2
when considering ‘permanent roads’ (Mla-
denoff et al., 1995; Merrill, 2000).
Methods
From March 1997 to May 2004, we radio-collared 14 wolves
in six different packs using the procedure described
Figure 1 Wolf Canis lupus range in Spain (grey)
(Blanco & Corte
´s, 2002) and our study areas (1) to
the north and (2) south of the Duero (dark grey).
Journal of Zoology 273 (2007) 114–124 c2007 The Authors. Journal compilation c2007 The Zoological Society of London 115
Wolf dispersal in SpainJ. C. Blanco and Y. Corte
´s
elsewhere (Corte
´s, 2001; Blanco et al., 2005). Eleven wolves
were radio-collared with VHF transmitters (Televilt, Lin-
desberg, Sweden) whose batteries have an average life of
6 years, two with VHF transmitters (Telonics, Mesa, AZ,
USA) with 2–3-year duration batteries and one with a GPS-
GSM transmitter (Vectronic, Berlin, Germany) that only
lasted 3 months. In addition, the radio-collared wolves were
sometimes observed or killed after their batteries expired,
and this information was integrated into our data. Age was
estimated by body size and appearance, tooth replacement
(Van Ballenberghe & Mech, 1975), tooth wear (Valverde &
Hidalgo, 1979; Landon et al., 1998; Gipson et al., 2000) and
date of capture. Wolves were divided into three age cate-
gories: pups (o12 months old), yearlings (12–24 months
old) and adults (424 months old). Wolves were located
from the ground or aircraft using standard triangulation or
homing techniques (Mech, 1983). We also monitored them
intensively during all-night sessions (Blanco et al., 2005).
Natal dispersal is the movement of an animal from its
natal home range to where it reproduces or would have
reproduced if it had survived or found a mate. Breeding
dispersal or secondary dispersal is the movement of an adult
between consecutive breeding sites or groups (Greenwood,
1980; Shields, 1987; Gese & Mech, 1991; Waser, 1996). We
assume that wolves o2 years old were captured in their
natal home range unless there was evidence to indicate
otherwise.
The annual dispersal rate was estimated in two different
ways: (1) by dividing the number of dispersers by the wolf-
years of monitoring (Gese & Mech, 1991; Mech et al., 1998);
(2) using the program MICROMORT (Heisey & Fuller,
1985), substituting the event death for the event dispersal, as
recommended by Arthur, Paragi & Krohn (1993) and
Ferreras et al. (2004). This method allows statistical com-
parisons to be made using the Zstatistic proposed by Heisey
& Fuller (1985).
Before leaving the area, some dispersers show pre-dis-
persal forays (Messier, 1985) or spent some time in the
periphery of their natal home range. This process is defined
as the pre-dispersal period. Similarly, some wolves, after
reaching their establishment home ranges, show incomplete
site fidelity for some weeks or months before finally settling.
This is the settlement period. We defined the total duration of
dispersal as the time between the start of dispersal and
establishment. The pre-dispersal period was not included in
the calculation of dispersal duration unless otherwise specified.
Dispersal distance is the distance between the arithmetic
centre of the natal home range, or the capture site, to
establishment home-range centre, the mortality site or the
last location while dispersing (Maehr et al., 2002). The
distances of effective dispersals were compared with
the average home range width of resident wolves (15 km),
which was calculated as the diameter of a 182 km
2
circle (the
average area of an adult wolf home range in our study area
using the 95% minimum convex polygon method, J. C.
Blanco & Y. Corte
´s, unpubl. data).
Pair formation was confirmed when the target wolf was
consistently seen with another wolf during or after the
dispersal period. Pack formation was deduced from the
presence of three or more wolves showing site fidelity,
assessed by observation of the wolves or through elicited
howling. Breeding was confirmed by visual observation of
the pups or from pups answering to simulated howling
(Harrington & Mech, 1982).
To study the social structure of the wolf population, we
recognized four categories of social status: (1) pack mem-
bers, (2) pair members, (3) dispersers (4) peripheral wolves,
defined by Mech (1970) as the individuals that rank so low
that they avoid the main pack members and stay near the
fringes of the pack social centre. Dispersers were recognized
as they do not show site fidelity. The three other categories
were established by assessing whether the radio-collared
wolves were consistently alone (peripheral wolves) or living
with other pack or pair members. With this objective we
tried to observe the wolves actively, used the simulated
howling method and checked tracks in the sand. During the
study, we carried out 528 ‘sit and wait’ observation sessions
(e. g. at rendezvous sites) and 253 simulated howling trials.
The percentage of wolves in each given category was
estimated by dividing the sum of those days spent by each
radio-collared wolf in the category by the number of radio-
days of all categories. The periods in which the social
category of wolves was uncertain were excluded from
calculations.
We estimated survival rates using the program MICRO-
MORT (Heisey & Fuller, 1985), and we compared survival
among social categories using the test proposed by these
authors. We assigned mortality dates as halfway between
the last known live location and the first indication that the
wolf had died, unless carcass evidence indicated otherwise.
Results
Dispersal rate, sex, age, distance and time of
dispersal
Between 1997 and 2004, we radio-collared 14 wolves (seven
males and seven females) that were followed for a total of
40.6 wolf-years (mean: 34.8 months, range: 3–71 months).
Four wolves were followed for 5–6 years and two other
wolves for 4–5 years. Nine wolves dispersed during the study
period (Table 1; Fig 2), and so the annual dispersal rate was
23.9% (using MICROMORT) or 27.4% (using the method
described by Gese & Mech, 1991). Although the annual
dispersal rate of males (32.0%) was higher than that of
females (16.3%), this difference was not significant
(Z=1.273, P=0.1014). Nine of the 11 dispersals (92%)
corresponded to natal dispersal and two others (8%) to
breeding dispersal. The average age of natal dispersal for
seven wolves of known age was 24.8 months (SD = 4.98),
24.5 months for three males and 25.0 for four females. Five
wolves dispersed when they were 2–3 years old and the
others as yearlings. The minimum average distance of natal
dispersal was 32 km (n= 8; range: 13–50 km). This is a
minimum figure because the signal of one male wolf was
lost during dispersal, suggesting a long-distance dispersal.
Journal of Zoology 273 (2007) 114–124 c2007 The Authors. Journal compilation c2007 The Zoological Society of London116
Wolf dispersal in Spain J. C. Blanco and Y. Corte
´s
Dispersal distances were similar for males (31.5 km, n=4)
and for females (32.5 km, n= 4). Of seven known cases, four
natal dispersals started between October and January and
the three others in July and August (Table 1).
The natal dispersal process
Pre-dispersal and natal pack abandonment
Two of the nine dispersers were radio-collared when they
were already dispersing, and so we do not know whether
they had a pre-dispersal process. In the other seven wolves,
we did not detect pre-dispersal forays sensu Messier (1985).
Nevertheless, two wolves used the peripheral areas of their
home range much more frequently in the weeks before their
dispersal. The two wolves that avoided the nucleus of the
pack before dispersing were F3 and F1. F3, after having
attended the breeder’s pups throughout summer 1998, left
the homesite area in October and occupied the periphery of
her natal pack territory for 37 days before dispersing. From
summer to the predispersal period, the average distance of
the diurnal rest sites between F3 and her pack’s breeding
female (F4, also radio-collared) increased from 2.2
(SD =2.1; n= 27) to 6.2 km (SD= 4.8; n=7) (U=2.619;
P= 0.002; Mann–Whitnney test). F1 spent 82 days mainly
using the periphery of her natal pack territory, between May
and July 1997 (breeding season), before dispersing. During
this period, only one of the 15 days in which she was located
was spent with the pups of the pack; in contrast, during the
same period, the radio-collared male M1(which was probably
her brother from the same litter) spent nine of the 20 days in
which he was located in his pack homesite (Yates corrected
w
2
=4.44; d.f.=1; P= 0.035).
Dispersal period
The dispersal period lasted from o9 days to 32 months. We
have recorded two different dispersal patterns. The wolves
living in the low-density area south of the river Duero
showed very rapid dispersal. Two of them suddenly left their
natal pack and when they were detected again, 25 and 9 days
after dispersing, they had already settled down in their new
areas. The third wolf (F1) also probably showed this
pattern, but after leaving her natal area she went missing
for several weeks and we cannot be sure. In contrast, in the
saturated area north of river Duero, the average dispersal
duration was 414.6 months (n= 5) (Table 1). Of the six
wolves that dispersed in this area, one disappeared during
dispersal and the other five were floating for months or years
before settling or dying. Two of them eventually bred, two
died before settling and one was still dispersing at the end of
the study.
The dispersers that were floating north of the river Duero
used different methods to find a vacant territory or be
adopted by a pack (Tables 1 and 2). F3 seemed to spiral
outward from the natal territory, until she finally established
in a corner of it. M2 used a nomadic pattern until he settled
Table 1 Study period, age, distance and duration of dispersal of the radio-collared wolves Canis lupus
Wolf
id.
a
Area
b
Radiocollaring
date Last data
Monitoring
period
Dispersed
during the
study
Month
of natal
dispersal
Natal
dispersal age
(months)
Natal
dispersal
distance (km) Predispersal
Dispersal
duration
M1 South Duero 01.03.1997 21.12.2002 5 years and 10 months Yes January 31 26 No o25 days
F1 South Duero 23.04.1997 23.01.2003 5 years and 9 months Yes July 26 42 Yes Unknown
F2 North Duero 10.10.1997 22.02.1998 4months and medio No
F3 North Duero 23.09.1997 23.07.2003 5years and 10 months Yes October 29 13 Yes 10.3 months
F4 North Duero 23.09.1997 23.06.2002 4years and 9 months No
M2 North Duero 08.03.1998 08.09.2002 4years and 6 months Yes 50 Unknown 412.7months
M3 North Duero 08.03.1998 23.10.1998 7.5months Yes 14 Unknown 47.5 months
F5 North Duero 06.05.1998 28.02.2001 2years and 9.5 months Yes August 27 45 No 32 months
M4 North Duero 15.05.1998 22.12.2003 5years and 7 months No
M5 North Duero 31.03.1999 20.08.1999 5months Yes May 24 Lost No 43 months
F6 North Duero 01.04.1999 19.01.2000 8.5months No
F7 South Duero 03.04.2002 10.01.2004 1 year and 9 months Yes November 18 30 No o9 days
M6 North Duero 31.05.2004 28.08.2004 3months No
M7 North Duero 31.05.2004 23.06.2005 13months Yes Oct–Jan 18.5 36 Unknown 47.5 months
a
M, males; F, females.
b
North Duero: high wolf density; South Duero: low wolf density.
Journal of Zoology 273 (2007) 114–124 c2007 The Authors. Journal compilation c2007 The Zoological Society of London 117
Wolf dispersal in SpainJ. C. Blanco and Y. Corte
´s
in a vacant territory. M3 showed a nomadic pattern but
mainly shifted between two packs. And F5 explored specific
areas and moved to contiguous ones every few months (Fig.
3). Floaters did not avoid other packs: F5 and M2 were each
detected in the core areas of three known wolf packs, F3 and
M3 in that of two packs and M7 in that of one pack.
The settlement process
Of the nine wolves that started the dispersal process, two
died during their dispersal, one disappeared and one was
still dispersing at the end of the study. Four of the five
wolves that established successfully, settled just after
Figure 2 Dispersal of radio-collared wolves Canis lupus (1997–2005). The locations where wolves were fitted with transmitters and where
dispersers reproduced or died are shown. The river Duero and the Highway 6 are also shown.
Table 2 Pairing and breeding of dispersers, tenure of territorial breeders and fate of all the radio-collared wolves Canis lupus
Wolf id. Pairing Breeding Tenure after settling Fate of the wolf
M1 Unknown 15 months Battery expired
F1 Paired after dispersal Bred 4th breeding season after settlin g 62 months Killed by car
F2 Illegally poisoned
F3 Paired after dispersal Bred 2nd breeding season after settlin g 52months Killed by car
F4
a
457 months Illegally shot
M2 Paired before or during dispersal Bred 1st breeding season after settling 442 months Battery expired
M3 Did not pair Died before breeding Killed by car
F5 Did not pair Died before breeding Illegally shot
M4
a
490 months Legally shot
M5 Unknown Unknown Lost during dispersal
F6 Illegally shot
F7 Paired after dispersal Bred 1st breeding season after settling 14 months Killed by dogs
M6 Collar failure
M7 Paired before or during dispersal Did not breed 1st breeding season after dispersal Ongoing monitoring
a
Radio-collared when they were territorial breeders.
Journal of Zoology 273 (2007) 114–124 c2007 The Authors. Journal compilation c2007 The Zoological Society of London118
Wolf dispersal in Spain J. C. Blanco and Y. Corte
´s
arriving and were not detected in their natal home ranges
anymore. For the fifth wolf (F3), the settlement was a
progressive process that lasted 7.5 months. During this time,
in eight of the 27 locations (29.6%) she had returned to visit
her natal territory.
Pairing, pack formation, breeding and tenure
after settling
We have data on pair formation on five of the nine
dispersers: two males (M2 and M7) paired before or at the
beginning of their dispersal, and three females (F1, F3 and
F7) paired after or at the end of the dispersal. Of the five
successful dispersers, three of them formed their own pack:
M2 and F7 reproduced in the first breeding season after
settling and F3 in the second breeding season. Two other
dispersers joined existing packs: F1 formed a pair in an
existing pack, bred 4 years after settling and formed a new
pack (the former one split into two). M1 joined another
pack and then dispersed twice in subsequent years.
The different dispersal success had distinct consequences
for the population trends on the different sides of the river.
The three wolves radio-collared south of the river Duero
dispersed and eventually formed their own packs, but only
two of the six wolves (33.3%) that dispersed north of the
Duero formed a new pack. The characteristics of the newly
formed territories were also very different on both sides of
the river. South of the river Duero, the three new packs
formed at the edge of the distribution area, in areas not
occupied by other wolves and of much better quality
habitats than the two packs formed in the north. Agricultur-
al and other very modified habitats formed 21, 68 and 19%
of the three new packs’ territories to the south of the Duero,
and 78 and 99% of those north of the Duero. North of the
river, one of the new packs was formed by budding. F3 set
up a territory occupying the worst-quality portion of her
mother’s (F4) territory, which was also bisected by a four-
lane fenced highway (Blanco et al., 2005). The second pack
north of the Duero was formed by M2, who carved out a
territory in a practically treeless area after floating nomadi-
cally for more than a year.
Seven radio-collared adult females were monitored for an
average of 3.2 years (range: 0.5–5.9 years) until they died,
and their complete reproductive histories are known. Three
adult females never reproduced. The other four females bred
once, twice, four and Zsix times, respectively, during their
lifespan.
Four of the five wolves that settled after dispersing
retained their territory until they died, or until the radio-
collar battery expired (Table 2). In addition, two wolves that
Figure 3 Dispersal of F5 (May 1998–February 2001). She successively occupied five home ranges and died before settling. The broken lines
indicate back and forth movements.
Journal of Zoology 273 (2007) 114–124 c2007 The Authors. Journal compilation c2007 The Zoological Society of London 119
Wolf dispersal in SpainJ. C. Blanco and Y. Corte
´s
were radio-collared when they were already territorial bree-
ders (M4 and F4) retained their territory until they were
shot. The average recorded tenure of these six breeders was
4.5 years (range: 1.1–7.5 years).
Breeding dispersal
Only one case of breeding dispersal was detected. M1
dispersed from his natal pack in January 1998 (when he
was about 31 months old) and joined another pack 26 km
away. In October 1999, he moved to a contiguous territory
17 km away and stayed there for 2 more years. In 2001, he
moved again to another contiguous territory 18 km away
from the last one and remained there at least until 2002,
when his battery expired. In the two breeding dispersals,
he moved a similar distance to the diameter of an average
territory (15 km). These breeding dispersals were gradual
and the new territories overlapped the previous ones
(Fig. 4).
Social structure and mortality
From 1997 to 2004, we made 267 observations of the radio-
collared wolves and other members of their packs, per-
formed 253 sessions of simulated howling close to them and
wolves replied 88 times (34.8%). At the end of the study, the
radio-collared wolves were found 72% of the observations
living in packs and the rest living in pairs, as dispersers or as
peripheral wolves. (Table 3).
The overall annual mortality rate was 18%, but it varied
depending on social category. Members of packs and pairs
showed the lowest mortality rates and dispersers and
peripheral wolves had the highest (Table 4). Lone wolves
(i.e. dispersers plus peripheral wolves) had a significantly
higher mortality (44% annual) than members of packs and
pairs (12%) (Z=1.6803, P=0.046). Nine radio-collared
wolves died during the study (Table 2), none of them due to
natural causes. Illegal killing (44.4%) and traffic kills
(33.3%) were the main causes of mortality. One wolf was
apparently killed by dogs on a cattle-rearing estate.
Discussion
Wolf dispersal occurs normally once in the life of the animal
and is difficult to detect using normal VHF radiocollars,
which only have a 1–2-year lifespan (Mech, 1987). However,
we used radiocollars with a battery life of 6 years, which
allowed us to follow some of the wolves throughout the
greater part of their lifespan. In fact, six wolves were
followed for 4–6 years, and nine of the 14 dispersed while
their radiocollar was active.
Figure 4 Dispersal of M1. In 1998, he dispersed from his natal home range (natal dispersal), and in subsequent years he dispersed again twice
(breeding dispersal).
Journal of Zoology 273 (2007) 114–124 c2007 The Authors. Journal compilation c2007 The Zoological Society of London120
Wolf dispersal in Spain J. C. Blanco and Y. Corte
´s
In addition, our study differs in several ways from those
undertaken previously on wolves. The area is highly modified,
had (at least during the majority of the study period) a food
surplus deriving from livestock carrion, it is a highly
fragmented landscape, with few woodland patches where
wolves can breed safely, and also has a considerable number
of roads and other man-made barriers (Blanco et al., 2005).
The road density north of the river Duero is 1.53 km km
2
,
that is, the highest ever recorded for a wolf population
(Merrill, 2000). Several studies carried out in North America
in the 1980s suggested that wolf populations could not
survive in areas with road densities 40.58 km km
2
(Thiel,
1985; Jensen, Fuller & Robinson, 1986; Mech et al., 1988).
Thus, the conditions of our study area contrast markedly
with the studies carried out in North America and in north-
ern Europe where the forested habitat is continuous, the
wolves feed on natural prey and there are no obvious
barriers to their dispersal.
Dispersal patterns and success
Despite these differences, our results were very similar to
those studies undertaken in less modified habitats, except
for the dispersal distance. The dispersal rate in this study
(23.9–27.4%) is very similar to the average dispersal rate for
eight studies reviewed by Fuller et al. (2003, p. 179) in North
America (25.4%), and closely approaches the 28% annual
rate found by Mech et al. (1998) in the wilderness location of
Denali National Park (Alaska), which has characteristics
almost completely different from those in our study area.
Similar to most other studies, we found no sex-biased
dispersal rate (Mech & Boitani, 2003). Regarding dispersal
age, five of the seven known-age wolves in our study
dispersed when between 2 and 3 years old, and the other
two as yearlings. The last two cases dispersed after the
closure of carrion pits when the food surplus had disap-
peared. The last two cases may be evidence of dispersal due
to resource competition, and the rest dispersal due to mate
competition (Gese, Ruff & Crabtree, 1996). In most other
studies, wolves dispersed as yearlings (Mech & Boitani,
2003), but the dispersal age was delayed when food was
abundant (Ballard, Whitman & Gardner, 1987; Mech et al.,
1998; Boyd & Pletscher, 1999), as occurred in our study
(Table 5).
In contrast, the mean dispersal distance in our study
(32.0 km) was 2.4–7 times smaller than that of wolves in less
modified habitats of North America and Europe (Table 5).
A probable cause of these shorter dispersal distances is the
fragmentation of the habitat and the presence of highways,
rivers, transport arteries and other barriers typical of habi-
tats with high human densities (Blanco et al., 2005).
Table 3 Percentage of radio-days that the radio-collared wolves Canis
lupus spent in packs, pairs, as dispersers or as peripheral wolves in
different periods of the study
Pack Peripheral Disperser Pair
March 99 67.2 8.8 25.0 0.0
March 01 53.0 9.2 23.5 14.3
March 03 71.2 5.3 13.7 9.8
March 05 72.2 4.9 12.7 10.2
Table 4 Annual mortality rates of radio-collared wolves Canis lupus
(Heisey & Fuller, 1985)
Social category Radio-days Deaths Mortality rate 95% CI
Overall 14763 8 0.18 0.059–0.285
Pack 10051 4 0.14 0.003–0.250
Pair 1694 0 0 0.000–0.000
Disperser 1952 2 0.31 0.000–0.591
Peripheral 1066 2 0.50 0.000–0.805
CI, confidence interval.
Table 5 Dispersal data from various studies
Study area n
Mean age (months) Mean distance (km)
ReferencesMales Females
Both
sexes Males Females Both sexes
Spain 9 24.5 25.0 24.8 31.5 32.7 32.0 This study
North-west Minnesota 8 20–390 Fritts & Mech (1981)
North-east Minnesota 75 18.6 88 65 77 Gese & Mech (1991)
Wisconsin 16 65 144 114 Wydeven, Schults &
Thiel (1995)
South-central Alaska 38 30 33 84 114 Ballard et al. (1987)
Alaska 21 154 123 Ballard et al. (1997)
Rocky Mountains 17 33 23 27 152 264 Boyd et al. (1995)
Rocky Mountains 31 35.7 113 78 96.3 Boyd & Plestcher (1999)
Denali National Park 56 30 28 133 Mech et al. (1998)
Scandinavia 15 323 123 Wabakken et al. (2001)
Finland 50 13.5 109 99 98.5 Kojola et al. (2006)
Israel 7 50–150 Hefner & Geffen (1999)
Yellowstone National Park 30 25 Mech & Boitani (2003)
Journal of Zoology 273 (2007) 114–124 c2007 The Authors. Journal compilation c2007 The Zoological Society of London 121
Wolf dispersal in SpainJ. C. Blanco and Y. Corte
´s
Landscape constraints seem to be the reason why carnivore
populations studied in very modified habitats have shorter
dispersal distances than those living in undisturbed areas
(Maehr et al., 2002; Ferreras et al., 2004).
In general, the dispersal process in our study area fits into
the pattern described for other wolf studies. In areas of low
wolf density with many vacant territories, the dispersal
period is short, but in saturated wolf habitats the dispersal
period is longer and the dispersal success is lower (Fritts &
Mech, 1981; Messier, 1985; Gese & Mech, 1991). In our
study, the three wolves that dispersed in the low-density area
south of the river Duero found a vacant territory or were
adopted by a pack a few days or weeks after leaving their
natal territory. In contrast, in the saturated area north of the
river Duero, the average dispersal duration of five wolves
was 14.0 months, and only two of them eventually secured a
territory and reproduced. The duration of dispersal in this
saturated population is much greater than the mean dis-
persal duration recorded by Gese & Mech (1991) in Minne-
sota (4.1, 2.0 and 2.9 months for pups, yearlings and adults,
respectively) and is even longer than the maximum dispersal
duration (12 months) of the 75 dispersers followed by these
authors.
Some authors found that dispersers frequent areas along
the interstices among territories (Rothman & Mech, 1979;
Fritts & Mech, 1981; Meier et al., 1995) but other authors
have not observed this pattern (Messier, 1985; Boyd et al.,
1995). In our study, five of the floaters dispersing north of
the river Duero were detected once or several times visiting
other packs’ homesites. On one occasion, we even located
the floater M2 in summer together with the pups of another
pack with radio-collared wolves. In other areas, trespassers
are frequently killed by territory owners (Mech, 1977; Mech
et al., 1998). It is possible that the food surplus in our study
area results in the wolves not needing to vigorously defend
their territories against trespassers, as suggested by Boyd
et al. (1995).
As a consequence of the different dispersal success on
both sides of the river (3/3 south and 2/6 north of the river),
the population grew rapidly in the south during the study
period, increasing from three packs detected in 1997 to 20
packs in 2001 (Blanco et al., 2005; Llaneza & Blanco, 2005)
but north of the Duero the population did not obviously
increase during the same period.
Solitary wolves and mortality
Another consequence of the different dispersal patterns on
both sides of the river is the difference in the percentage of
lone wolves. The three wolves radio-collared south of the
river Duero were found as loners (dispersers plus peripheral
wolves) 1.6% of the observations (13.3 wolf-years’ monitor-
ing) and the rest of the time as territorial wolves living in
packs or in pairs. In contrast, the 11 wolves radio-collared in
the saturated population north of the Duero were found as
loners 33.5% of the observations (27.3 wolf-years’ monitor-
ing). The reasons for the high percentage of loners north of
the river Duero might be the semi-permeable river Duero
barrier (Blanco et al., 2005; Fig. 1), the food surplus, which
delays dispersal, and the poor vegetation cover, which may
limit breeding possibilities and formation of new packs.
These characteristics are relatively rare in the other areas
where wolves have been studied and as a result the percen-
tage of loners found in our population north of the river
Duero (33.3%) is higher than that in other studies in less
modified habitats. Fuller et al. (2003), in an extensive review,
concluded that the average percentage of non-resident
individuals in North American studies was 12% (range:
7–20%).
The high percentage of loners has several management
consequences. On the one hand, they are a buffer for a
population, making it less vulnerable to exploitation as they
are adult individuals that can quickly replace breeders when
these die (Fuller et al., 2003). In addition, floaters are
undetectable without extensive radiotracking, and so they
form a ‘shadow population’ (Rohner, 1997), which is almost
impossible to calculate in the population surveys such as
those that are carried out in Spain. These surveys are based
on the detection of pups in summer but radio-tracking is
rarely used and snow is almost lacking in winter (Blanco &
Corte
´s, 2002; Llaneza & Blanco, 2005).
Surprisingly, the annual mortality rate (18%) in our area
was lower, and the tenure of the breeders (4.5 years) higher
than in the wilderness of Denali National Park (mortality,
27%; tenure, 4 years: Mech et al., 1998). In Denali, most
wolves died when killed by other wolves, while in our area
all mortalities were caused by humans, except for one wolf,
which was apparently killed by dogs. None of our wolves
died from natural causes. In our area, the mortality due to
humans perhaps compensates for the natural mortality, the
food surplus may reduce intraspecific competition and
the habitat conditions may be more predictable than in the
protected, natural habitats of Denali National Park or Isle
Royale (Michigan) where food availability varies according
to changes in the severity of the winter (Mech et al., 1998;
Post et al., 1999).
In our study, loners had a higher mortality rate than the
territorial wolves integrated in packs and pairs, as occurs in
other areas. In Minnesota, Mech (1977) also reported that
the annual mortality of territorial adults (18%) was much
lower than that of loners (34%), and other studies have
shown that dispersers suffer a higher mortality than resident
individuals (Peterson, Woolington & Bailey, 1984; Messier,
1985; Fuller, 1989; Pletscher et al., 1997). Both peripheral
wolves and dispersers are low-ranking individuals and
are likely forced to occupy the worst areas. In our study
area, the human-caused mortality is the proximate cause of
the wolf population regulation, but intraspecific competi-
tion appears to be the ultimate factor responsible for this
regulation.
The overall annual mortality in our area was very low
compared with other studies. Other wolf populations with
15–20% annual mortality rates showed 16–49% annual
rates of increase (see the review in Fuller et al., 2003). The
same occurred in our study area. During 1988–2001, in the
whole region of Castile and Leon, wolf density obviously
Journal of Zoology 273 (2007) 114–124 c2007 The Authors. Journal compilation c2007 The Zoological Society of London122
Wolf dispersal in Spain J. C. Blanco and Y. Corte
´s
increased in some areas and the range expanded by 35%
(from 57 000 to 77 300 km
2
) (Llaneza & Blanco, 2005).
Although we lack accurate data on wolf numbers, these
figures show an obvious increase in the wolf population.
This means that wolves can live and increase without the
support of immigrants in an agricultural area with a very
high road density, almost depleted of wild ungulates, as long
they have other food sources and the human tolerance is
high. In our area, the livestock management system meant
that losses to depredation are minimal and there are conse-
quently relatively low levels of wolf persecution.
Interestingly, the conditions that were prevalent in the
majority of our study area are now changing. After the
appearance of BSE towards the end of 2000, the carrion pits
have started to be closed and the food availability for the
wolves is apparently declining. If this decrease continues,
the population dynamic parameters could change and in the
near future could result in fewer loners, smaller pack sizes
and a general reduction in the wolf population.
Acknowledgements
We thank J.M. de Alba, M. Bezos, A. de la Fuente, J.M.
Garc ´
ıa, G. Garrote, A. de la Puente, J. Rodr´
ıguez and M.A.
Rodr ´
ıguez for field assistance. P. Ferreras, R. Villafuerte
and John Linnell provided guidance regarding statistical
analysis and corrected previous drafts of the paper. John
Muddeman and John Linnell improved the English. Two
anonymous reviewers commented on the paper. C. Morillo,
B. Asensio, B. Heredia, J.J. Areces and M. Aymerich
(Ministry of Environment), J. Mu ˜
noz, J.A. Arranz and
I. Molina (Junta de Castilla y Le ´
on) promoted this research
at various stages. This project was funded by the Spanish
Ministry of the Environment with additional aid from the
Regional Government of Castilla y Le ´
on.
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As wolves recolonize human-modified landscapes across the Old World, management programs aiming to mitigate livestock depredation while preserving wolf populations are falling short. The combination of human activity, habitat fragmentation, and mixed land use creates complex challenges for conservation management. Recolonized by wolves in the 1970s, the Golan Heights in northern Israel poses a dense mosaic landscape of risk, comprising grazing pastures, military zones, nature reserves, agriculture, and minefields. Today it contains one of the highest densities of wolves worldwide. While wolves are protected by law, the government maintains an active lethal management program by which about 25% of the population is culled annually. To evaluate this program’s effectiveness, we used 60 motion-triggered camera traps over 5,997 nights to monitor wolf activity across the Golan Heights. Using long-term culling and landscape data, we assessed the spatiotemporal responses of single wolves and wolf packs to culling pressure, land use and human activity. We found a positive relationship between culling pressure and single wolf activity, while pack responses to culling varied over a gradient of land uses. Single wolves utilized high-risk areas near cattle despite intense culling, while packs dominated protected, no-culling zones. Overall, culling did not deter wolves, singles or packs, from conflict zones; all zones were occupied by wolves. However, wolves shifted temporally to avoid daytime human activity and were predominantly nocturnal in high-culling areas. Understanding wolves’ responses to lethal management across diverse anthropogenic pressures offers lessons for other areas, particularly in Europe, currently undergoing wolf recolonization in similar landscapes.
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Home range size, dispersal and activity of wolves were studied for the first time in Bulgaria using radio-telemetry. In 2005–2009, three wolves (two males and one female), were equipped with VHF collars and radio-tracked in the south-western part of the country, in the Pirin and Maleshevska Mts. The first male (WM1), estimated as 8–9 years old, was tracked for 1.5 months, covering a small area of 10.3 km2 (100% MCP). Home ranges of a female (WF1, 1 y old) and a second male (WM2, 1.5 y old), when resident in their natal packs, were 93.1 km2 and 139.7 km2, respectively, (100% MCP) (mean = 116.4 km2). The core areas (50% KDE) were 35 and 59.9 km2 (mean = 47.5 km2). Both WF1 and WM2 dispersed from their natal packs (mean dispersal distance of 33.1 km) but were killed by humans before settling and reproducing. During dispersal, WF1 was never recorded crossing main roads or other urbanised areas. In contrast, WM2 crossed the non-fenced international road E79 and the railway through the Kresna Gorge, at least 11 times. WF1 and WM2 were active in 45.1% and 44.9% (mean = 45%) of the time recorded, with pronounced crepuscular patterns. The results of the present work are a contribution to the study of the wolf population spatial ecology in Bulgaria and can serve for the better management of the species and its long-term conservation.
... Recent research (Silva et al. 2018;Salado et al. 2024) has suggested population structure in Iberian wolves, which is surprising given their limited distribution in Iberia and the high capacity of grey wolves to disperse (e.g., Jimenez et al. 2017;Linnell et al. 2005) which has led to the expansion of the wolf distribution in Europe and North America over the last decades (Boitani et al. 2022;Hindrikson et al. 2017). Iberian wolves are documented to have comparatively much smaller mean and maximum dispersal distances (Spain: mean = 32 km, range (R) = 13-50 km, sample size (n) = 8 in Blanco and Cortes 2007;Portugal: mean = 24.8 km, R = 5.5-59.6 km, n = 18 in Nakamura et al. 2021) than other wolves (e.g., Sweden and Norway: mean = 313 km, R = 80-880 km, n = 15 in Wabakken et al. 2001; Alaska; mean = 99 km, R = 23-732 km, n = ca. ...
... Three of these calcium channel genes had modifications for splicing in intronic regions (CACNA1E,CACNA1I,CACNA1D). In humans, these calcium channel genes have important neurological and behavioural implications, but since an animal model is beyond the scope of this work, we can only speculate about the neural implications of these modifications in wolves. These genes are particularly interesting in the case of the Iberian wolves because their behaviour is unique among European populations in that they do not disperse nearly as much as their counterparts (Blanco and Cortes 2007;Nakamura et al. 2021). Although European wolves have greatly expanded their distribution through long-distance dispersal in the last few decades (Boitani et al. 2022;Hindrikson et al. 2017), the Iberian wolf population area has remained stable in the northwest, and has been lost in the south. ...
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Invading species along with increased anthropogenization may lead to hybridization events between wild species and closely related domesticates. As a consequence, wild species may carry introgressed alleles from domestic species, which is generally assumed to yield adverse effects in wild populations. The opposite evolutionary consequence, adaptive introgression, where introgressed genes are positively selected in the wild species, is possible but has rarely been documented. Grey wolves (Canis lupus) are widely distributed across the Holarctic and frequently coexist with their close relative, the domestic dog (C. familiaris). Despite ample opportunity, hybridization rarely occurs in most populations. Here we studied the geographically isolated grey wolves of the Iberian Peninsula, who have coexisted with a large population of loosely controlled dogs for thousands of years in a human‐modified landscape. We assessed the extent and impact of dog introgression on the current Iberian grey wolf population by analysing 150 whole genomes of Iberian and other Eurasian grey wolves as well as dogs originating from across Europe and western Siberia. We identified almost no recent introgression and a small (< 5%) overall ancient dog ancestry. Using a combination of single scan statistics and ancestry enrichment estimates, we identified positive selection on six genes (DAPP1, NSMCE4A, MPPED2, PCDH9, MBTPS1, and CDH13) for which wild Iberian wolves carry alleles introgressed from dogs. The genes with introgressed and positively selected alleles include functions in immune response and brain functions, which may explain some of the unique behavioural phenotypes in Iberian wolves such as their reduced dispersal compared to other wolf populations.
... Home range is the area used and maintained by individuals to acquire resources (food, shelter, mating) for themselves and, sporadically, for young (Burt 1943;Powell 2012). This site fidelity brings several benefits because while animals move through a familiar place, they are more likely to find resources and avoid unnecessary risks (e.g., Blanco and Cortés 2007). Large carnivores have high cognitive skills, being able to memorize landscape features and thus establish home ranges and use them in an efficient manner (Benson-Amram et al. 2023). ...
... In these situations, females might not want to dislocate large distances with their young, remaining in an area they are familiar with to lessen the risks. Carnivores in familiar territory have shown lower mortality than juvenile individuals dispersing through unfamiliar landscapes (Blanco and Cortés 2007;Gosselink et al. 2007;Soulsbury et al. 2008). On the other hand, males displacing their areas might reflect an increase in their search for reproduction and food. ...
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Movement is an integral part of animal foraging and survival. Thus, conditions that hamper animal movement should cause significant shifts in their ecology, especially in traits directly related to movement such as home range, displacement, and site fidelity. Using jaguars (Panthera onca) as our model species, we measured the effect of reduced mobility in a unique natural experiment. The Amazonian varzeas of the Mamirauá Reserve have such a prevalent and intense flooding that jaguars in the region adopt a semiaquatic and arboreal lifestyle during the wet season. We hypothesized that Jaguar space use would change substantially between seasons with decreasing home ranges, core areas, and displacements during the high-water periods. Given previously documented sex-based differences in Jaguar space use and movement we also evaluated sex-based differences in movement parameters in our study system. We measured seasonal home ranges and core areas using autocorrelated kernel density estimation, with the 95% contour for home ranges and 50% for core areas. Displacement was calculated as the velocity of movement in meters per second in each given step comprised of locations every 6 h. Our results indicated that home range area remained constant between seasons, but displacement decreased during high-water periods as expected. We discuss the possibility that jaguars switch to an ambushing form of predation, which is made possible by the large number of prey in the region. This ambushing tactic would allow jaguars to retain a large home range despite low mobility and larger movement costs.
... Indeed, once areas with low human impact were occupied, dispersing wolves in search of new, unclaimed territories had to adapt to highly modified habitats with a strong human presence, such as the Po Plain [24]. Wolves are likely to thrive wherever food is available and human persecution is minimal, even in humandominated landscapes [15,[58][59][60]. ...
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Coexisting with large carnivores in human-dominated European landscapes is a highly relevant and current challenge. Over the last two centuries, the wolf (Canis lupus) population in Europe has experienced a significant decline, primarily due to direct human persecution. However, recent conservation policies, combined with the species’ remarkable ecological flexibility, have enabled a rapid recovery. This process, which now also extends to densely populated areas, is exemplified by the ongoing expansion across the Po Plain, one of Europe’s most heavily human-dominated landscapes. Our study aims to provide the first assessment of habitat suitability for wolf presence in the Po Plain. Using a ten-year dataset of wolf occurrences (2015–2024), we evaluated the influence of several environmental and human-related factors by applying habitat suitability models with the Maximum Entropy algorithm (MaxEnt). The goal was to quantify potentially suitable habitats within the plain and to identify the factors that could either facilitate or constrain wolf presence. The results showed that approximately half of the Po Plain is suitable for wolf presence. Among anthropogenic variables, “urban areas” was the only factor that significantly and negatively affected habitat suitability, while other variables had negligible impacts. This underscores the species’ remarkable ecological and behavioural adaptability. By investigating wolf distribution in one of Europe’s most anthropised regions, this study aims to shed light on the species’ ability to thrive in human-altered landscapes, contributing to ongoing conservation efforts and informing future strategies for coexistence in highly populated lowland ecosystems.
... While learning before independence may contribute, there are indications that the fear of humans has a genetic influence (Carricondo-Sanchez et al. 2020;Fox 1972;Hall et al. 2015;Milleret et al. 2019;Saetre et al. 2006). Given that a significant proportion of wolf mortality is linked to humans (Blanco and Cortés 2007;Rico and Torrente 2000), it is reasonable to argue that the ability to avoid humans could be an advantageous trait subject to human-induced selection pressures. This behavior may manifest as an innate component (Saetre et al. 2006), learned from parents (Milleret et al. 2019), or a combination of both. ...
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Wolves (Canis lupus) exhibit contrasted activity patterns along their distribution range. The shift from diurnal to nocturnal habits within and among populations appears to be primarily driven by localized levels of human activity, with ambivalent responses toward such disturbance reported among populations. Yet, the drivers and the underlying individual variability of temporal avoidance patterns toward human remains unexplored. We equipped 26 wolves with GPS–GSM collars, obtaining 54,721 locations. We used step lengths, turning angles, and accelerometer data from recorded locations to infer activity through hidden Markov models (Conners, M. G., T. Michelot, E. I. Heywood, et al. 2021. “Hidden Markov Models Identify Major Movement Modes in Accelerometer and Magnetometer Data From Four Albatross Species.” Movement Ecology 9, no. 1: 1–16.). We further explored the probability of activity as a function of a set of proxies of anthropogenic disturbance at different spatial scales and its interaction with different periods of the day by fitting population‐level and individual‐based hidden Markov models. Wolves were predominantly active during dusk and night, yet variations in activity emerged among individuals across day periods. We did not find clear population‐level effects of anthropogenic disturbance predictors, as these were masked by a wide range of individual‐specific responses, which varied from positive to negative, with inter‐individual variability in responses changing according to different predictors and periods of the day. Our results suggest a non‐uniform strategy of wolves in adapting their behavior to human‐dominated environments, further underscoring the role of vegetation patches acting as functional refuge cover for buffering the effects of anthropogenic disturbance and boosting the persistence of the species in human‐dominated landscapes. This study, for the first time, reveals the individual variability in wolf responses to human disturbance. By fitting hidden Markov models to data from GPS–GSM collars deployed on 26 wolves, we found significant variation between individuals in their responses to different levels of anthropogenic pressure and across different times of day, highlighting a non‐uniform strategy for coping with perturbations in human‐dominated landscapes. Our findings underscore the diverse behavioral adjustments employed by wolves to persist in these environments and highlight the critical importance of vegetation patches serving as refuge cover.
... For gray wolves Canis lupus (hereafter, wolves), culling can disrupt the primary social units, breeding pairs, or the secondary social units, packs. Resident adults have the highest natural survival rates among wolves (Blanco andCortés 2007, Marucco et al. 2009). If breeders die at higher rates compared to situations without culling, wolf population dynamics is likely to be accelerated with more turnovers of breeding pairs or packs (Jędrzejewski et al. 2005, Borg et al. 2015, Milleret et al. 2017. ...
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The efficiency of the management of predations on livestock by gray wolves (Canis lupus) through culling is under debate. Evaluating wolf culling efficiency requires to simultaneously analyze the effects of culling on the wolf population and the repercussions of these population changes on livestock predation. This protocol is technically difficult to implement in the field. To properly assess culling efficiency, we provided an integrated and flexible individual‐based model that simulated interactions between wolf population dynamics, predation behavior and culling management. We considered many social processes in wolves. We calibrated the model to match the Western Alps as a case study. By considering the prey community in this area and the opportunistic nature of wolf predation, we assumed that predation on livestock at the wolf territory level increased with pack's food needs. Under this assumption and considering livestock availability as high and livestock vulnerability as uniform in space and time, culling maintained wolf population size and predation risks at low levels. Contrary to what was expected, culling decreased the mean annual proportions of dispersing wolves in our simulations, by speeding settlement. This population‐level mechanism compensated for the high mortality and the pack instability caused by culling. Compensation was however dependent on the selectivity and the timing of culling. When executed before the natural mortality module in our model, the selective culling could undermine replacement of lost breeders and therefore decrease wolf population resilience to culling. Our model gives insights about culling effects in one specific simulated context, but we do not expect that our assumption about predation behavior necessarily holds in other ecological contexts and we therefore encourage further explorations of the model.
... In the natural mortality submodel, individuals' natural mortality probabilities varied according to age and social status (residents vs. dispersers) (Blanco & Cortés, 2007;Smith et al., 2010) (Table 2; Appendix S2). We also modeled densitydependent mortality rates for resident adults in packs that had high mortality due to territorial strife when carrying capacity was reached (Cubaynes et al., 2014) (Appendices S1 & S2). ...
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Introgressive hybridization between wolves and dogs is a conservation concern due to its potentially deleterious long‐term evolutionary consequences. European legislation requires that wolf–dog hybridization be mitigated through effective management. We developed an individual‐based model (IBM) to simulate the life cycle of gray wolves that incorporates aspects of wolf sociality that affect hybridization rates (e.g., the dissolution of packs after the death of one/both breeders) with the goal of informing decision‐making on management of wolf–dog hybridization. We applied our model by projecting hybridization dynamics in a local wolf population under different mate choice and immigration scenarios and contrasted results of removal of admixed individuals with their sterilization and release. In several scenarios, lack of management led to complete admixture, whereas reactive management interventions effectively reduced admixture in wolf populations. Management effectiveness, however, strongly depended on mate choice and number and admixture level of individuals immigrating into the wolf population. The inclusion of anthropogenic mortality affecting parental and admixed individuals (e.g., poaching) increased the probability of pack dissolution and thus increased the probability of interbreeding with dogs or admixed individuals and boosted hybridization and introgression rates in all simulation scenarios. Recognizing the necessity of additional model refinements (appropriate parameterization, thorough sensitivity analyses, and robust model validation) to generate management recommendations applicable in real‐world scenarios, we maintain confidence in our model's potential as a valuable conservation tool that can be applied to diverse situations and species facing similar threats.
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The wolf Canis lupus is recolonizing the Po plain with variable intensity and patterns depending on the areas; in the province of Lodi, colonization by wolves seems to occur very quickly due to the proximity of the Trebbia and Nure valleys, whose wolf packs fuel the species dispersal. Between 2019 to 2024, we collected 109 observations for a total of 183 wolves, which settled in the central-southern part of the province, selecting the hilly areas and the banks of the Po, Adda and Lambro rivers. Intensive monitoring has provided useful data to estimate some population parameters; the average litter size was 4.8 pups and the pack size was 8-9 wolves, data in agreement with literature information, while the average density, 0.9 ind./km2 (range = 0.73-1.09), was lower than that of several European protected populations and close to the densities of culled ones. Roads, urban areas and meadows have a negative influence on the predator presence, which is favoured by green areas close to urban settlements and, though not significantly, by wetlands. On the other hand, a stable presence is favoured both by tree cover surrounded by extensive crops and by the presence of wetlands and water basins, which can provide prey such as the coypu and perhaps make access to dens more difficult, thus reducing disturbance during reproduction. The road network has a negative effect on the presence/absence pattern of the wolf, but not on the stability of its settlement, despite the high mortality rate from vehicle collisions which can remove up to 75% of the annual litter produced by some pairs. The low density observed so far makes a population increase likely in the next few years, but the speed of recolonisation throughout the territory may slowed down by the high mortality rate that hinders post-reproductive dispersal. Abstract The wolf (Canis lupus) is recolonizing the Po plain with varying intensity. In Lodi province the process is fast, due to its proximity to the Trebbia and Nure valleys, which host dispersing populations. Between 2019 and 2024, 109 observations recorded 183 wolves settling in central-southern Lodi, favoring hilly areas and riverbanks (Po, Adda, Lambro). Intensive monitoring has provided useful data to estimate some population parameters; the average litter size was 4.8 pups and the pack size was 8-9 wolves, data in agreement with literature information, while the average density, 0.9 ind./km2 (range = 0.73-1.09), was lower than that of several European protected populations and close to the densities of culled ones. Environmental characteristics where the wolf is permanently or irregularly present, or absent, are different. Roads, urban areas and meadows have a negative influence on presence, which is favoured by green areas close to urban settlements and, though not significantly, by wetlands. Stable presences are favoured both by tree cover surrounded by extensive crops, from which the wolf can better control potential threats surrounding shelters, and by the presence of wetlands and water basins, which can provide prey such as the coypu and perhaps make access to dens more difficult, thus reducing disturbance during reproduction. The road network has a negative effect on the presence/absence pattern of the wolf, but not on the stability of its settlement, despite the high mortality rate from vehicle collisions 1
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The aim of the present study is to conduct a population viability assessment (PVA) for the wolf in Germany. This represents the first step in deriving the size of the favourable reference pop-ulation for the conservation status assessment according to article 17 Habitats Directive and simulates the development of the wolf population into the future, taking demographic sce-narios into account. Since the derivation of the reference population must necessarily take into account the connectivity to other wolf populations in neighbouring countries, a spatially-explicit, individual-based model was designed to reconstruct the expansion of the population over the last 15 years and to use it as a spatial forecasting tool for predicting population trends. The demographic data fed into the PVA come from the analysis of the nationwide wolf moni-toring data. Survival probabilities of wolves in the age classes juvenile, subadult and adult were calculated using the Cox proportional hazards regression model to simultaneously ac-count for the effects of underlying habitat quality, sex and season. Annual adult survival prob-abilities are 0.87, subadult survival probabilities are 0.75 and juvenile survival probabilities are 0.75. The annual reproductive probability of a territorial pair is 0.88, and a female has an av-erage of 4 ± 2 (SD) young per litter. Since the wolf population in Germany is expanding, the survival probabilities are in the upper range compared to other populations worldwide. The scenarios for future population development were selected in such a way that they rep-resent potential changes in natural conditions as well as natural disasters within a realistic framework. The results of the scenarios clearly show that the probability of survival had the greatest impact on the population. With a high probability of survival, the theoretical maxi-mum number of territories in Germany could be reached after only a few years; the maximum number results from the threshold of habitat suitability for establishing territories. The threshold for a stable population is above an annual mortality of approx. 40 % juveniles and subadults or approx. 30 % adults. At high mortality rates in conjunction with catastrophic events, population extinction can occur rapidly. These values for the tipping point are in line with the results of international studies. An important finding from all simulation runs, in which the population also died out with a high probability, is that the population has a 'demographic buffer' of several years due to the high survival probabilities of the previous 15 years; i.e. the population seems to continue to increase despite high mortality rates before a population collapse occurs. Conversely, this means for monitoring that long-term, closely timed monitoring is needed to detect trends in the population development in time. Although some scenarios predict a stable population development with a high probability of survival, not all of them guarantee the connectivity of the German wolf population within Ger-many and with those of neighbouring countries. Thus, connectivity requires not only stable population development, but also a core population that is vital enough to function as a con-stant source of individuals.
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A LARGE, DARK WOLF poked his nose out of the pines in Yellowstone National Park as he thrust a broad foot deep into the snow and plowed ahead. Soon a second animal appeared, then another, and a fourth. A few minutes later, a pack of thirteen lanky wolves had filed out of the pines and onto the open hillside. Wolf packs are the main social units of a wolf population. As numbers of wolves in packs change, so too, then, does the wolf population (Rausch 1967). Trying to understand the factors and mechanisms that affect these changes is what the field of wolf population dynamics is all about. In this chapter, we will explore this topic using two main approaches: (1) meta-analysis using data from studies from many areas and periods, and (2) case histories of key long-term studies. The combination presents a good picture-a picture, however, that is still incomplete. We also caution that the data sets summarized in the analyses represent snapshots of wolf population dynamics under widely varying conditions and population trends, and that the figures used are usually composites or averages. Nevertheless, they should allow generalizations that provide important insight into wolf population dynamics.
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During September 1980-December 1986, 81 radio-collared wolves (Canis lupus) were monitored in and near the 839-km2 Bearville Study Area )BSA) in north-central Minnesota. Each year winter-territory size averaged 78-153 km2; no territories had road densities >0.72 km/km2. From zero to 30% of radiomarked pup, yearling, or adult wolves left their territories each month. Pups left natal packs during January-March and older wolves left frequently during September-April. Wolves temporarily leaving territories moved 5-105 km away and were absent 3-118 days; up to 6 exploratory moves were made prior to dispersal. Dispersing wolves traveled 5-100 km away during periods of 1-265 days. One disperser joined and established pack, but 16 others formed new packs. Annual dispersal rates were about 0.17 for adults, 0.49 for yearlings, and 0.10 for pups. Each year mean pack size ranged from 5-9 in November/December to 4-6 in March. Annual wolf density (including 16% lone wolves) ranged from 39-59 wolves/1,000 km2 in November-December and 29-40 wolves/1,000 km2 in March. Annual immigration was 7%. The observed mean annual finite rate of increase was 1.02, and annual rates of increase were correlated with mean number of pups per pack in November. Litters averaged 6.6 pups at birth and 3.2 pups by mid-November, at which time pups made up 46% of pack members. Annual survival of radio-marked wolves >5 months old was 0.64. Despite legal protection, 80% of identified wolf mortality was human caused (30% shot, 12% snared, 11% hit by vehicles, 6% killed by government trappers, and 21% kill by humans in some undetermined manner); 10% of wolves that died were killed by other wolves. During sample periods in 2 winters, wolves were located twice daily to estimate predation rates on white-tailed deer (Odocoileus virginianus). Estimated minimum kill rates during January-February (x = 21 days/kill/wolf) did not differ between winters with differing snow depths. Winter consumption averaged 2.0 kg deer/wolf/day (6% body wt/day). Scat analyses indicated deer were the primary prey in winter and spring, but beaver (Castor canadensis) were an important secondary prey (20-47% of items in scats) during April-May. Neonatal deer fawns occurred in 25-60% of scats during June-July whereas the occurrence of beaver declined markedly. Overall, deer provided 79-98% of biomass consumed each month. Adult wolves consumed an estimated 19/year, of which 11 were fawns. A review of North American studies indicates that wolf numbers are directly related to ungulate biomass. Where deer are primary prey, territory size is related to deer density. Per capita biomass availability likely affects pup survival, the major factor in wolf population growth. Annual rates of increase of exploited populations vary directly with mortality rates, and harvest exceeding 28% of the winter population often result in declines. Management decisions concerning wolf and ungulate density and ungulate harvest by humans can be made using equations that incorporate estimate of wolf density, annual ungulated kill per wolf, ungulate densities, potential rate of increase for ungulates, and harvest.
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THE FIRST REAL BEGINNING to our understanding of wolf social ecology came from wolf 2204 on 23 May 1972. State depredation control trapper Lawrence Waino, of Duluth, Minnesota, had caught this female wolf 112 km ( 67 mi) south of where L. D. Mech had radio-collared her in the Superior National Forest 2 years earlier. A young lone wolf, nomadic over 100 km2 (40 mi2) during the 9 months Mech had been able to keep track of her, she had then disappeared until Waino caught her. From her nipples it was apparent that she had just been nursing pups. "This was the puzzle piece I needed," stated Mech. "I had already radio-tracked lone wolves long distances, and I had observed pack members splitting off and dispersing. My hunch was that the next step was for loners to find a new area and a mate, settle down, produce pups, and start their own pack. Wolf 2204 had done just that."
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Within the 2700km² Beltrami Island State Forest, near the W edge of the primary range of Canis lupus in Minnesota, wolf population density was low at the start of the study in 1972 but increased substantially up to 1977 (end of study). At least 8 of 13 social units present in mid-1976 had formed since 1972. Size of litters of established packs averaged 4.6 pups, and those of newly-formed pairs averaged 4.1. Mortality decreased over the study period, and recruitment of young wolves exceeded mortality following legal protection. A high rate of dispersal of young from packs was documented. Dispersal peaked in autumn. Most wolves paired within a few days of leaving their packs. Average territory size decreased as both population and pack numbers increased. Behaviour of alpha males, alpha females and subordinate members of the packs is discussed. Deer and moose comprised 94% of animal biomass eaten by wolves, with deer along accounting for 67%. Seasonal differences in food taken and energy requirements are noted.-P.J.Jarvis
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Several studies have suggested that Gray Wolf populations are jeopardized at road densities > 0.58 km/km2. One landscape model predicting wolf occupancy based on road densities which were not higher than 0.45 km/km2 (Mladenoff et al. 1995) has been supported with field data (Mladenoff et al. 1999). In one example in central Minnesota, wolves are breeding successfully in an area with a road density of 1.42 km/km2. This situation illustrates the point that road density is an index of high-speed vehicles and human attitudes, and there are situations when road density alone is not an accurate index of wolf habitat suitability.
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Examined Canis lupus demography, movement patterns, predation characteristics in relation to migratory Rangifer tarandus granti. Wolf packs usually did not follow migratory caribou but maintained year-round resident territories that averaged 1 868 km2. However, during years when caribou were absent and moose Alces alces densities were low up to 17% of the radio-marked wolf packs followed migratory caribou and then returned to their original territory for denning. Radio-collared wolves dispersed primarily during April through September. Spring wolf densities increased from 2.7-4.4 wolves/1 000 km2 during 1987-1990, then declined to 1.5 wolves/1 000 km2 following a rabies epizootic. Annual wolf survival rates averaged 0.552 (range 0.464-0.656). Annual survival during 1990-91 and 1991-92 was lower than other years due to a rabies epizootic. Overall, hunting was the main cause of death (69%) for wolves (n=52). Most (63%) mortality occurred during December through March when snow cover permitted wolf hunting from snowmobiles. Caribou and moose composed 51 and 42%, respectively, of the kills observed during the study; 59% of caribou and 64% of moose kills were adult. Ungulate kills averaged 4.6/wolf/100 days and provided 5.3 kg of available food/wolf/day. When caribou densities were >200/1 000 km2, wolves switched to preying on resident moose. Wolves within the range of the Western Arctic Caribou Herd killed 6-7% of this caribou population annually. Caribou left wolf pack territories during winter, and wolves switched to preying on moose for c. 4 months of each year. Wolves killed 11-14% of the moose population annually. Wolf densities were limited by hunting and trapping, and wolf predation at levels found in 1987-91 did not strongly limit caribou population growth. However, existing wolf population may be able to regulate local, low-density moose populations that have become established during the past 40 yr.
Article
Canis lupus recolonized the Kenai Peninsula in the 1960s following a 50-yr absence. Wolf density ranged from 11-20 wolves/1000 km². Wolves fed primarily on moose Alces alces (density 0.8/km²); predation rate in winter averaged 1 moose/pack/4.7 days. Food consumption in winter was 0.12 kg/kg wolf/day, but intake apparently declined in summer. Calves composed 20% of the moose population but 47% of wolf-killed moose examined; proportionately more calves were killed during a winter with deep snow. Wolf predation selectively removed the oldest moose in the population. All but 3 of 72 wolf-killed adult moose of which sex could be ascertained were females. Typically 1 litter of wolf pups was born annually to the dominant female in each pack. Pups born to a socially subordinate female were growth-retarded and apparently died. Extraterritorial movements were most commonly undertaken by subordinate adult wolves during the February breeding season. Survival of dispersing wolves was only half that of nondispersers; most dispersers were killed before they could reproduce successfully. Mortality was largely human-caused, averaging 33% annually. Harvest increased rapidly, reducing pack size and causing declines in pack territory size. Additional packs developed in vacated areas, and total wolf density was maintained until annual kill exceeded 30-40% of the early winter population.-from Authors
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Distribution of the wolf (Canis lupus) in parts of Wisconsin (Thiel 1985) and Michigan and Ontario (Jensen et al. 1986) has been related to the density of roads passable by 2-wheel-drive vehicles. Wolves in those regions generally do not occur where road densities exceed 0.58 km/km2, whereas similar areas nearby with fewer roads do contain wolves. In a small segment of the wolf range in Minnesota, wolves did not have territories where roads exceeded a density of 0.73 km/km2 (T. K. Fuller, Minn. Dep. Nat. Resour., unpubl. data). In another small area of Minnesota with 0.73 km of roads/ km2, >50% of known wolf mortality was caused by humans despite prohibitions of the Endangered Species Act, but wolves survived there probably because the area was surrounded by an extensive wilderness reservoir (L. D. Mech, un-publ. data).