
Description
This is a layer representing predicted habitat suitability
for Pronghorn Antelope (Antelocapra americana) across the assessment
area. The layer was built using simple rules along with slope and
canopy cover as predictor variables. This layer has a resolution of 90m
(0.8
ha or 2 acres). Values for the layer range from zero to one and are
unitless. Higher values indicate a higher degree of habitat suitability.
Purpose
This data layer was created as part of the ForestERA project
to support landscape-scale forest restoration planning efforts by
a broad group of stakeholders including federal and state agencies, academic
institutions, and non-governmental entities. These data are intended
for regional analyses over spatial extents on the order of tens to
hundreds of thousands of acres, and were not developed for use at
finer
spatial scales, although they may be useful for some applications
at finer scales.
Development
The Pronghorn habitat suitability model was created using
a set of simple rules based on literature review.
In Arizona, Pronghorn typically avoid areas of high slope (> 20%; Lee et
al. 1998; Schuetze & Miller 1992). We created a map of suitable habitat
using slope. As areas of slope < 10% have been identified as “preferred” habitat
(Schuetze & Miller 1992), we gave these areas a value of 1, areas between
10% and 20% slope were given a value of between 1 and 0 (1 - (slope - 10 /
10)), and areas with slope above 20% were given a value of zero. Pronghorn
also typically avoid areas of high woody vegetation cover (Ockenfels et al.
1994). In Arizona, pronghorn frequently use areas with canopy cover 20% or
less (Ockenfels et al. 1994), and will use areas of higher cover when traveling
between preferred rangelands (Lee et al. 1998). As with slope, we created a
map of suitable habitat areas using canopy cover. Areas with canopy cover < 20%
were given a value of 1, areas with cover between 20 and 60% were given a value
between 1 and 0 (1 - (cover - 20 / 40)), and areas with cover > 60% were
given a value of zero.
We combined the two habitat maps into the final habitat suitability
map using another set of simple rules. First if either habitat map had
a value of zero,
the final map was given a value of zero. Otherwise the values for the two
maps were added together and divided by two. Thus, the final habitat
suitability
map has a continuous range from zero to one, with higher values representing
habitat that should be more suitable for pronghorn (lower cover and slope).
Accuracy
Assessment
A limited accuracy assessment was undertaken using 435
pronghorn locations obtained from Rick Ockenfels of the Arizona Game and
Fish Department. These data represent locations of radiocollared Pronghorn
that
were obtained using GPS triangulation from a flyover airplane. All of the
locations come from west of I-17 and south of I-40, primarily in the Garland
Prairie
area. Of the 435 locations, 336 (77.2%) fall in areas with habitat suitability
values of 0.9 or greater. An additional 72 locations (16.5%) fall in areas
with values between 0.5 and 0.9. The remaining 47 values (6.3%) fall in
areas with values of 0.5 or less.
Sources of errors
It is important to
note that this is a model that provides a measure of habitat suitability,
not habitat quality, as
we have no measure of pronghorn survival or reproduction that we
could use to assess habitat quality. In addition, many of the factors
that
influence habitat quality, such as rangeland quality and herbaceous
vegetation composition (Lee et al. 1998; DeVos 1999) cannot be
measured easily using remote-sensing imagery.
Pronghorn are unlikely to
occupy some areas of apparently suitable habitat due to human-related
factors. Fences and highways are barriers
that pronghorn
will not cross, and thus there may be areas of suitable habitat that
the pronghorn cannot reach (Lee et al. 1998; DeVos 1999; Ticer et al.
1999). In addition,
Pronghorn are likely to avoid areas of high human activity (Lee et al.
1998; DeVos 1999).
The accuracy assessment uses data from a limited area and also
represents sampling from a limited number of pronghorn. Many
of the 435 locations
used in the accuracy
assessment came from the same animals, and are thus not independent
samples. A much larger group of samples, covering a larger spatial extent,
and
including more animals, would be necessary to fully assess
this model.
Recommendations
As stated above, this is not a layer representing
habitat quality, which would require inclusion of some measure
of survivability or reproductive success. We recommend that this layer
be
used as an
overall indicator of how favorable conditions are for the presence
of pronghorn. However, finer-scale details such as forage quality,
accessibility, and disturbance will also affect pronghorn occupation.
Thus more detailed models are needed to predict exactly how Pronghorn
will use areas identified as suitable habitat.
Literature Cited
DeVos, J. C. 1999. Status and management needs of pronghorn habitat
in Arizona. Pp. 7-15 in Proceedings of the 18th Biennial Pronghorn
Antelope Workshop.
Lee, R. M., J. D. Yoakum, B. W. O’Gara, T. M. Polar, and R.
A. Ockenfels (eds.). 1998. Pronghorn Management Guides. Arizona Game
and Fish Department and Arizona Antelope Foundation. 110 pp.
Ockenfels, R. A., A. Alexander, C. L. D. Ticer, and W. K. Carrel.
1994. Home ranges, movement patterns, and habitat selection of pronghorn
in central Arizona. Arizona Game and Fish Department Technical Report
#13. 80 pp.
Scheutze, S. M. and W. H. Miller. 1992. Seasonal habitat preferences
of pronghorn antelope in central Arizona. Pp. 30-39 in Porceedings
of the 15th Biennial Pronghorn Antelope Workshop.
Ticer, C. L. D., S. R. Boe, R. A. Ockenfels, and J. C. DeVos. 1999.
Factors affecting home ranges and movements of pronghorn on a shortgrass
prairie in northern Arizona. . Pp. 84-90 in Proceedings of the 18th
Biennial Pronghorn Antelope Workshop.
Last updated
February 11, 2005
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