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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<strong>Utah</strong> <strong>Native</strong> <strong>Plant</strong> <strong>Society</strong><br />
The habitat suitability maps also varied between the<br />
models (Figure 2). The full model (Figure 2a) and the<br />
pruned model (Figure 2b) clearly show a smaller range<br />
than the topo model (Figure 2c). The area of suitable<br />
habitat for the full model was 919,973 acres, the pruned<br />
model 1,386,261 acres and the topo model 47,110,640<br />
acres.<br />
The spatial comparison of models found 571,307<br />
acres of suitable habitat agreement between the models<br />
(Figure 2d). Disagreement analysis of the three models<br />
shows 47,081,482 acres (Figure 2e) and suggests that<br />
the topo model generated the most disagreement between<br />
models.<br />
DISCUSSION<br />
Alternative Suitability Models<br />
The use of alternative models can offer a better understanding<br />
of how environmental variables play a role<br />
in a species distribution. The comparison of the three<br />
models may provide a deeper knowledge of speciesenvironment<br />
relationships and lead to a more rigorous<br />
assessment of potential distributions. The alternative<br />
models may also identify needs in data to further understand<br />
species-environment relationships.<br />
The three models used in this analysis all performed<br />
better than random. The full and pruned models performed<br />
the best (highest AUC scores) while the topo<br />
model over predicted suitable habitat. The jackknife<br />
analysis provided a way to understand variable importance<br />
for the use in the pruned model. This may help<br />
eliminate redundant variables and an overly large<br />
model.<br />
Most pruned models showed a larger area of suitable<br />
habitat when compared with the full models. This suggests<br />
two possible interpretations: 1) the full model may<br />
be over fit, and not predicting all potential suitable habitat,<br />
or 2) the pruned model may be over predicting. Another<br />
interesting aspect of using alternative models was<br />
the use of only topographic variables in the topo model.<br />
Although this model over predicted suitable habitat for<br />
Mesa Verde cactus, other species models show a closer<br />
fit. This model may provide a way to analyze a species<br />
distribution when only elevation data are available, as<br />
Parolo and others (2008) found with Arnica montana.<br />
Spatial Comparison<br />
The spatial comparison of habitat suitability map<br />
output from the three models provides quantification of<br />
uncertainty in the model predictions of suitable habitat.<br />
Levels of uncertainty have important management implications.<br />
Areas with high model agreement that a species<br />
is present but without known occurrences of that<br />
species are target areas for field surveys. Areas of disagreement<br />
may provide insight into variables that con-<br />
tribute to uncertainty that could be better resolved<br />
through additional field work.<br />
Final Habitat Maps and Use<br />
The goal of this project was to identify potential suitable<br />
habitat for species by using alternative models<br />
evaluated with AUC scores and a spatial comparison.<br />
When comparing the three models, the AUC scores<br />
range from good to excellent for Mesa Verde cactus.<br />
The spatial comparison identified the full and pruned<br />
models as having similar predicted areas, while the area<br />
predicted by the topo model was larger. This technique<br />
provides a more rigorous analysis of the potential distribution<br />
of suitable habitat.<br />
The methods described above provide a more<br />
straightforward ecological interpretation of how the environment<br />
affects a species’ distribution. This modeling<br />
technique can also provide a better understanding of<br />
endemic plant distributions. These models can be used<br />
for future field investigations to find new populations<br />
and to identify relationships between climate, geology<br />
and topography with endemics.<br />
ACKNOWLEDGEMENTS<br />
This project was supported by the Gloria Barron Wilderness<br />
<strong>Society</strong> Scholarship and NSF grant 0753163.<br />
Comments from Dr. Deana Pennington and Daniela<br />
Roth greatly improved the manuscript and many thanks<br />
to those who have shared their data and time to improve<br />
this project.<br />
LITERATURE CITED<br />
Araujo, M. and A. Guisan. 2006. Five (or so) challenges<br />
for species distribution modeling. Journal of Biogeography<br />
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(ROC) curve. Radiology 29: 773-785.<br />
Heil, K.D. 1984. Mesa Verde cactus (Sclerocactus<br />
mesae-verdae) Recovery plan. U.S. Fish and Wildlife<br />
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