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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 />

63

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