Appendix C
GIS Evaluation of Wolf Habitat and Potential Populations in the Great
Lakes States
By Adrian P. Wydeven, David J. Mladenoff, T.A. Sickley and R.G. Haight
A geographical information system or GIS is a computer mapping system
that allows researchers or managers to examine various layers of
landscape simultaneous. By examining various landscape features,
biologists can determine why a species occurs in a specific location.
Gray wolves lend themselves well to examining of their habitat selection
using GIS. Wolf packs occupy fairly discrete areas that are maintained
as territories, and represents the breeding potential of a wolf
population. In the Great Lakes region wolves normally occupy
territories that cover 20 to 120 square miles. By discerning the
characteristics of suitable pack habitat (breeding habitat), we can
determine the extent of area that wolves can occupy, and the size of a
wolf population that an area can support.
GIS was used recently to determine the type of landscape features that
packs occupy in Wisconsin and the adjacent states of Michigan, and
Minnesota (Mladenoff et al 1995). Additionally, work was done to
determine how many wolves could occur in Wisconsin and Michigan
(Mladenoff et al 1997).
Various landscape features were examined in 14 wolf territories that
were monitored by the Wisconsin DNR using radio-collared wolves. These
known territories were compared to 14 random areas the size of wolf
territories scattered across northern Wisconsin. Wolf territories were
also compared to the overall landscape of northern Wisconsin. Landscape
features that were examined included human population density, prey
(deer) density, road density, land cover, land ownership, and several
spatial indices.
Table C1 illustrates some of the important features of wolf habitat in
Wisconsin. In general the average wolf territory contained no urban
land, very little farmland, and was 93% forest. Nearly 30% of an
average territory was in wetlands, especially conifer swamps and bogs,
compared to only 16% overall for northern Wisconsin.
Wolf territories consisted mainly of public and industrial forest land
(80%), even though these areas cover only about 1/3 of northern
Wisconsin. Wolf pack areas had about 1/3 the road density and human
population density of northern Wisconsin in general.
Road density was the best predictor of suitable wolf habitat, as had
been found by Thiel (1985) and others. Areas that contain less than 0.7
miles of road per square mile have a 50% chance or greater of being
settled by wolf packs if adequate space and prey are available. Blocks
of land with less or equal to 0.7 miles/mile2 was considered suitable
wolf habitat for management purposed. Land with more than 1 mile of
road/mile2 is least suitable and has less that 10% chance of being
settled by wolf packs.
Although road density is an important indicator of good wolf habitat,
wolves do not have an aversion to roads. Wolves readily travel down
roads for hunting and dispersing, especially dirt and gravel roads. The
reason road density is important to wolf habitat, is because higher road
densities equate to higher risks of vehicle collisions or illegal kills.
In recent years vehicle collisions have become almost as high a
mortality factor as illegal killing in Wisconsin. During an 8 month
period, 5 wolves died in central Wisconsin due to vehicle collisions.
Figure C6. Primary and secondary wolf habitat in Wisconsin. Primary
habitat represents those areas with a 50% or greater chance of
supporting a wolf pack. Secondary habitat represents those areas with
between a 10 and 50% chance of supporting a wolf pack. The
remainder of the state is designated as unsuitable, with a less than
10% chance of supporting a wolf pack. Based on Mladenoff et al,
1995. {Click image for larger view} |
Area of potential wolf habitat in northern Wisconsin are illustrated in
Table C2. A total of 5,739 square miles have greater than 50%
probability of being settled by wolf packs and are listed as primary
wolf habitat in Table 2. The majority of the most favorable habitat
(71%) occurs on public land or industrial forest land. Land that has a
10 to 50% probability of being settled by wolf packs is listed as
secondary wolf habitat and covers 4,704 square miles; slightly over half
the secondary habitat occurs on private land (Table C2). About 12,393
square miles of northern Wisconsin appears to be poorly suited as wolf
habitat, and most unsuitable habitat occurs on private land. Some of
the areas of less suitable habitat may be occupied by wolf packs if
these areas occur close to areas of suitable habitat. Landscapes that
are not likely to be settled by wolf packs, may still have potential for
dispersing wolves, especially in forested habitats near existing packs
cially in forested habitats near existing packs.
The initial analysis we conducted on potential wolf habitat examined
about 23,000 square miles of northern Wisconsin, but did not examine
land in central Wisconsin (Mladenoff et al. 1995). In fall 1994 a wolf
pack was verified in central Wisconsin, therefore GIS analysis was
conducted for the remainder of Wisconsin in spring 1996. A small area
of favorable wolf habitat was identified in central Wisconsin (207
square miles) and included the three wolf territories located in the
region. No other sizeable areas of primary or secondary potential
habitat occur in the state, but a few small scattered parcels of
secondary habitat exist in central and western Wisconsin. The chance of
wolves settling into these small parcels is remote, but these areas may
be used by dispersing wolves.
The potential wolf population for Wisconsin and Michigan were determined
by Mladenoff et al. (1997) using two methods. A habitat based estimate
used the average territory size (69 mi2) average sized pack (4.1
wolves), average space between territories (37%), and assumed 15% loners
in the population within areas of primary wolf habitat. A wolf-prey
based estimation developed by Fuller (1989) was also used to estimate
the potential wolf population within primary wolf habitat, based on
abundance of deer.
Table C3 illustrates estimated potential wolf population of 380 and 462
by the two methods. The habitat area based estimate is probably the
more reliable projection of the potential population, because it has a
more narrow confidence interval, and the prey based projection includes
estimates of wolf densities that are higher than any mainland densities
reported for wolves in the Great Lakes region. Therefore a reasonable
estimation would be a potential wolf population of 300-500 wolves in
northern Wisconsin, and 600-1000 wolves in Michigan.
The populations projections made by Mladenoff et al (1997) includes only
potential habitat in northern Wisconsin. Based on the size of suitable
habitat and wolf densities in other areas of Wisconsin, central
Wisconsin could support an additional 15-25 wolves. More research is
necessary to better assess habitat and wolf population potential in
central Wisconsin.
Figure C1 shows the statewide potential habitat as calculated following
the study. It shows 5,812 square miles of primary habitat and 5,015
square miles of secondary habitat in Wisconsin.
These results suggest that Wisconsin and Michigan could support far more
than the goal of 100 for both states for delisting as neither endangered
nor threatened. The current (1997) population for both states of about
260 wolves, already far exceeds the goal. The GIS results of
delineating suitable habitat and potential populations will be very
useful for future management planning for the Great Lakes States. The
GIS data will provide an important bench mark for evaluating the success
of wolf recovery in the Great Lakes region.
Literature Cited.
Fuller, T.K. 1989. Population dynamics of wolves in north-central
Minnesota. Wildl. Mongr. 105, 41pp.
Mladenoff, D.J., T.A. Sickley, R.G. Haight, and A.P. Wydeven. 1995. A
regional landscape analysis and prediction of favorable wolf habitat in
the Northern Great Lakes region. Conservation Biology vol.
9(2):279-294
Mladenoff, D.F., R.G. Haight, T.A. Sickley, and A.P. Wydeven. 1997
Causes and implications of species restoration in altered ecosystems: A
spacial landscape project of wolf population recovery. Bioscience vol.
47(1):21-31.
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