December 2012 Number 1 - Utah Native Plant Society
December 2012 Number 1 - Utah Native Plant Society
December 2012 Number 1 - Utah Native Plant Society
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Calochortiana <strong>December</strong> <strong>2012</strong> <strong>Number</strong> 1<br />
Spatial Patterns of Endemic <strong>Plant</strong> Species of the Colorado Plateau<br />
Crystal M. Krause,<br />
Northern Arizona University, Biological Sciences, Flagstaff, AZ<br />
Abstract. The Colorado Plateau region supports one of the highest levels of endemism in the United States. Of the<br />
6,800 vascular plants of the region more than 300 are endemic. Endemic species may have a higher risk of extinction<br />
due to their restricted geographic range. This risk may be increased with climate change. To better understand the risk<br />
to endemics, ecological niche modeling can provide a better understanding of the dynamics of environmental factors<br />
on a species range. For the endemics of the Colorado Plateau, a changing climate may modify species range. But underlying<br />
factors such as substrate and specialized habitat will also play a role in how a species range may change. The<br />
focus of this study is to understand spatial patterns and factors that predict endemism and then model species potential<br />
distribution.<br />
The Colorado Plateau ecoregion supports one of the<br />
highest levels of endemism in North America, ranking<br />
in the top three ecoregions on the continent for the total<br />
number of endemics in all taxonomic groups (Ricketts<br />
et al 1999). The Colorado Plateau also has the highest<br />
rate of endemism in terms of actual numbers of species<br />
(Kartesz and Farsted 1999). The harsh, dry environment<br />
of the Colorado Plateau has historically placed intense<br />
environmental stress on the flora. Factors such as soil,<br />
climate, and water scarcity among others seem to limit<br />
the geographic range of many species. More than 300<br />
species of vascular plants on the Colorado Plateau are<br />
endemic. Many of the endemic plant species are edaphic<br />
endemics restricted to one soil type, but larger geographic<br />
patterns of plant endemism can also be seen in<br />
the Colorado Plateau’s “sky island” habitats. Other important<br />
areas are those below 2000m; these lower elevations<br />
have a greater number of endemics than higher<br />
elevations (Welsh 1978).<br />
The Colorado Plateau contains 122,805,655 acres of<br />
land, of these 3,622,942 acres (3 percent) are protected<br />
lands in National Parks and Monuments, another<br />
64,748,735 acres (52 percent) are federally owned<br />
(Figure 1). Land ownership is also unique for the Plateau<br />
with the third most federally controlled land per<br />
area of all other ecoregions. Protected areas of the Colorado<br />
Plateau have a pivotal role to play in enabling species<br />
and ecosystems to persist. Protected areas can remove<br />
or control many of the threatening processes such<br />
as habitat loss and fragmentation.<br />
The distribution of endemic plants in protected areas<br />
is not fully known and very little work has been completed<br />
in modeling distribution shifts in response to climate<br />
change. To better understand the complexity and<br />
variability climate change may have on the distribution<br />
of plants and animals, ecologists have recently developed<br />
the concept of computationally based Ecological<br />
Niche Models (ENMs) (Peterson, Soberon and Samcjez-<br />
Cordero 1999; Peterson and Vieglais 2001; Stockwell<br />
and Peters 1999). ENMs integrate a wide range of environmental<br />
data (including point location data) to define<br />
potential species habitats. The output of ENMs is a set<br />
of grids of potential habitat based on the co-occurrence<br />
of known species locations and various environmental<br />
conditions. Each grid is assessed for accuracy by comparing<br />
a set of reserved species locations to the predicted<br />
habitat distributions.<br />
The predicted ENM habitats can be projected onto<br />
past, current, and modeled future landscapes thus providing<br />
testable habitat conditions that can be compared<br />
to known conditions to assess model accuracy and improve<br />
environmental predictions (Peterson et al. 2002).<br />
Projection onto the current landscape indicates the present<br />
day geographic distribution of suitable conditions<br />
for these plant species - the species potential habitat.<br />
Comparing these projections to historical and current<br />
location data provides information on the changes that<br />
plants have made in their dispersal in response to disturbances<br />
and environmental changes in the recent past.<br />
Projecting the model onto future landscapes provides<br />
information of how climate change may affect the species<br />
distribution and dispersal ability.<br />
METHODS<br />
MaxEnt<br />
Data collection is the first step in modeling a species<br />
distribution; species location point records and environmental<br />
data are needed for the model. Location point<br />
records used in this study are from herbaria and Natural<br />
Heritage Programs from the Four Corners region, National<br />
Park Service and the Bureau of Land Management.<br />
Species with occurrence points from less than 10<br />
populations were excluded from modeling because prior<br />
studies have demonstrated that fewer than 10 populations<br />
is not meaningful without extensive habitat re-<br />
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