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Forecasting Energy Development Scenarios to Aid in Conservation Design

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Energy Development and Wildlife Conservation in Western North America

Abstract

Rapid increases in development of both renewable and traditional hydrocarbon energy resources seem certain and will probably affect up to 20 percent of the major terrestrial ecosystems in the western United States (chap.2; McDonald et al.2009). Growing concerns over the potential social and biological impacts of climate change, with related calls to reduce carbon emissions, have intensified demands to develop renewable energy resources (Brooke2008). Nevertheless, fossil fuels will continue as a primary source of energy, with ramifications for the western United States, where a substantial portion of domestic onshore hydrocarbon resources are found (chap.2). Exploitation of a wider portion of our domestic energy resources will increase the likelihood of conflicts between energy development and conservation and necessitate more proactive approaches to environmental mitigation (chap.9).

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References

  • Aydemir, A. 2008. Hydrocarbon potential of the Tuzgolu (Salt Lake) Basin, Central Anatolia, Turkey: A comparison of geophysical investigation results with the geochemical data. Journal of Petroleum Science and Engineering 61:33–47.

    Article  CAS  Google Scholar 

  • Breiman, L. 2001. Random forests. Machine Learning 45:5–32.

    Article  Google Scholar 

  • Chen, Z. H., K. Osadetz, H. Y. Gao, P. Hannigan, and C. Watson. 2000. Characterizing the spatial distribution of an undiscovered hydrocarbon resource: The Keg River Reef play, Western Canada Sedimentary Basin. Bulletin of Canadian Petroleum Geology 48:150–62.

    Article  Google Scholar 

  • Clark, W. C. 2007. Sustainability science: A room of its own. Proceedings of the National Academy of Sciences of the United States of America 104:1737–8.

    Article  CAS  Google Scholar 

  • Connelly, J. W., and C. E. Braun. 1997. Long-term changes in sage grouse Centro-cercus urophasianus populations in western North America. Wildlife Biology 3:229–34.

    Google Scholar 

  • Copeland, H. E., K. E. Doherty, D. E. Naugle, A. Pocewicz, and J. M. Kiesecker. 2009. Mapping oil and gas development potential in the US intermountain West and estimating impacts to species. PLoS One 4:e7400.

    Article  Google Scholar 

  • De’ath, G., and K. E. Fabricius. 2000. Classification and regression trees: A powerful yet simple technique for ecological data analysis. Ecology 81:3178–92.

    Article  Google Scholar 

  • Doherty, K. E. 2008. Sage-grouse and energy development: Integrating science with conservation planning to reduce impacts. Ph.D. dissertation. University of Montana, Missoula.

    Google Scholar 

  • Ehrlich, P. R., and R. M. Pringle. 2008. Where does biodiversity go from here? A grim business-as-usual forecast and a hopeful portfolio of partial solutions. Proceedings of the National Academy of Sciences of the United States of America 105:11579–86.

    Article  CAS  Google Scholar 

  • Evans, J. S., and S. A. Cushman. 2009. Gradient modeling of conifer species using random forests. Landscape Ecology 24:673–83.

    Article  Google Scholar 

  • Fargione, J., J. Hill, D. Tilman, S. Polasky, and P. Hawthorne. 2008. Land clearing and the biofuel carbon debt. Science 319:1235–8.

    Article  CAS  Google Scholar 

  • Green, B. 1978. Eating oil: Energy use in food production. Boulder, CO: Westview.

    Google Scholar 

  • Guisan, A., and N. E. Zimmermann. 2000. Predictive habitat distribution models in ecology. Ecological Modelling 135:147–86.

    Article  Google Scholar 

  • Hulse, D., A. Branscomb, C. Enright, and J. Bolte. 2009. Anticipating floodplain trajectories: A comparison of two alternative futures approaches. Landscape Ecology 24:1067–90.

    Article  Google Scholar 

  • Ingelfinger, F., and S. Anderson. 2004. Passerine response to roads associated with natural gas extraction in a sagebrush steppe habitat. Western North American Naturalist 64:385–95.

    Google Scholar 

  • ———. 2008. World energy outlook 2008. Paris: IEA.

    Book  Google Scholar 

  • Ivanov, V. L. 1985. Prediction of the oil and gas potential of Antarctica on the basis of geological conditions. Polar Geography 9:116–31.

    Article  Google Scholar 

  • McDonald, R. I., J. Fargione, J. Kiesecker, W. M. Miller, and J. Powell. 2009. Energy sprawl or energy efficiency: Climate policy impacts on natural habitat for the United States of America. PLoS One 4:e6802.

    Article  Google Scholar 

  • Nassauer, J. I., and R. C. Corry. 2004. Using normative scenarios in landscape ecology. Landscape Ecology 19:343–56.

    Article  Google Scholar 

  • National Atlas of the United States. 2006. Federal lands of the United States: National atlas of the United States. Reston, VA: U.S. Geological Survey.

    Google Scholar 

  • Newson, A. C. 2001. The future of natural gas exploration in the foothills of the western Canadian Rocky Mountains. The Leading Edge 20:74–9.

    Article  Google Scholar 

  • Phillips, S. J., R. P. Anderson, and R. E. Schapire. 2006. Maximum entropy modeling of species geographic distributions. Ecological Modelling 190:231–59.

    Article  Google Scholar 

  • Pocewicz, A., M. Nielsen-Pincus, C. S. Goldberg, M. H. Johnson, P. Morgan, J. E. Force, L. P. Waits, and L. Vierling. 2008. Predicting land use change: Comparison of models based on landowner surveys and historical land cover trends. Landscape Ecology 23:195–210.

    Article  Google Scholar 

  • Polasky, S. 2008. Why conservation planning needs socioeconomic data. Proceedings of the National Academy of Sciences of the United States of America 105:6505–6.

    Article  CAS  Google Scholar 

  • Pontius, G. R., and J. Malanson. 2005. Comparison of the structure and accuracy of two land change models. International Journal of Geographical Information Science 19:243–65.

    Article  Google Scholar 

  • Reed, J. C., and C. A. Bush. 2007. About the geologic map in the National Atlas of the United States of America. Washington, DC: U.S. Geological Survey. nation-alatlas.gov. Retrieved March 3, 2008.

    Google Scholar 

  • Sawyer, H., M. J. Kauffman, and R. M. Nielson. 2009. Influence of well pad activity on winter habitat selection patterns of mule deer. Journal of Wildlife Management 73:1052–61.

    Article  Google Scholar 

  • Sawyer, H., R. M. Nielson, F. Lindzey, and L. L. McDonald. 2006. Winter habitat selection of mule deer before and during development of a natural gas field. Journal of Wildlife Management 70:396–403.

    Article  Google Scholar 

  • Stiver, S. J., A. D. Apa, J. R. Bohne, S. D. Bunnell, P. A. Deibert, S. C. Gardner, M. A. Hilliard, C. W. McCarthy, and M. A. Schroeder. 2006. Greater sage-grouse comprehensive conservation strategy. Unpublished report, Western Association of Fish and Wildlife Agencies, Cheyenne, WY.

    Google Scholar 

  • Theobald, D. M., and N. T. Hobbs. 1998. Forecasting rural land-use change: A comparison of regression- and spatial transition-based models. Geographical and Environmental Modelling 2:65–82.

    Google Scholar 

  • U.S. Department of the Interior. 1997. White River Resource Area approved resource management plan. Cheyenne, WY: Bureau of Land Management.

    Google Scholar 

  • ———. 2008. National Integrated Lands System (NILS) database. Washington, DC: U.S. Bureau of Land Management.

    Google Scholar 

Download references

Acknowledgments

We thank the Montana and Wyoming State Offices of the BLM and Oil and Gas Commission for insights about oil and gas production on federal lands, Ronald Marrs for geological expertise in model design, Tom Rinkes and Tom Christiansen for initial thought-provoking discussion, Jody Daline for assistance compiling data on reasonable foreseeable development from BLM field offices, and Jeffrey Evans for statistical analysis support.

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David E. Naugle

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Copeland, H.E., Doherty, K.E., Naugle, D.E., Pocewicz, A., Kiesecker, J.M. (2011). Forecasting Energy Development Scenarios to Aid in Conservation Design. In: Naugle, D.E. (eds) Energy Development and Wildlife Conservation in Western North America. Island Press, Washington, DC. https://doi.org/10.5822/978-1-61091-022-4_10

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