|
Introduction
Methods
Results
Definitions
Contacts

|
|
Background
|
The region’s ecology and economy are dependent upon riparian and rangeland ecosystems. Maintaining the health of these lands is vital to policy and decision makers at both private concerns and all levels of government. With respect to riparian habitat, the availability and quality of water is always of concern in the arid west (southern Idaho is “high desert”); this is especially true in times of drought (such as the present).
Rangeland supports not only abundant and diverse wildlife, but also the state’s $1.4 billion/year livestock industry. These ecosystems are inter-related, and informed decision making in one topical area cannot take place without comprehensive knowledge of the other. The challenges caused by invasive plant species are numerous. They impact range site productivity, disturb wildlife habitat, alter the wildland fire regime and fire frequency interval (and subsequent erosion, etc), and reduce biodiversity (by diminishing native habitat).
The current methods of identifying weeds in Bonneville County are typical of the region, and consist of either notification by landowners, or by “stumbling upon them” during day-to-day operations (e.g., field mapping) of Bonneville County Weed Control. This means the infestations are usually visible from vehicle, horseback or ATV: i.e., by the time they are identified, the weed colony has become large and firmly established.
Bonneville and Ada Counties currently use GPS to record weed locations. Both counties have GIS layers that contain weed locations. Ada County has used aerial photography coupled to ground survey to map rush skeletonweed. However, application of remote sensing technologies combined with GPS and GIS capabilities were limited until commencement of this collaborative project. Further development of this successful application model will lead to broad systemic change in weed control for Idaho. This application model allows land managers to identify and control weed sites while they are still small and manageable, and therefore much less expensive to control.
The extreme accuracy of GPS/GIS increases the efficiency of control operations, as managers know almost exactly where to commit resources for existing invasions, and/or take preventive action in terrains/soils identified as vulnerable to invasion. Further, the species of invasive weeds which can be monitored by the application may be increased as warranted. The impact of a successful application development will be revolutionary for regional weed control efforts.
|
Suggested Reading |
Anderson, G.L., Delofosse, E.S., Spencer, N.R., Prosser, C.W., & Richard, R.D. (2003). Lessons in developing successful invasive weed control programs. Journal of Range Management, 562-12.
Asher, J. (1998). The spread of invasive weeds in western wildlands: a state of biological emergency. In The Governor's Idaho Weed Summit (ed C. Spurrier). Bureau of Land Management, Boise, Idaho.
Aspinall, R.J. (2002). A geographic information science perspective on hyperspectral remote sensing. Journal of Geographic Systems, 4, 127-140.
Aspinall, R.J., Marcus, A., & Boardman, J.W. (2002). Considerations in collecting,processing, and analyzing high spatial resolution hyperspectral data for environmental investigations. Journal of Geographic Systems, 4,15-29.
Byers, J.E., Reichard, S., Randall, J.M., Parker, I.M., Smith, C.S., Lonsdale, W.M., Atkinsson, I.A.E., Seastedt, T.R., Williamson, M., Chornesky, E., & Hayes, D. (2002). Directing research to reduce the impacts of nonindigenous species. Conservation Biology, 16(3), 630-640.
Everitt, J.H., Escobar, D.E., & Davis, M.R. (1995). Using remote sensing for detecting and mapping noxious plants. Weed Abstracts, 44(12), 639-649.
Gates,D.M., Keegan, H.J., Schleter, J.C., & Weidner, V.R. (1965). Spectral properties of plants. Applied Optics, 4(1), 11-20.
Goetz, A.F.H., Vane, G., Solomon, J.E., & Rock, B.N. (1985). Imaging spectrometry for Earth remote sensing. Science, 4704, 1147-1153.
Hoffer, R.M. & Johannsen, C.J. (1969). Ecological potentials in spectral signature analysis. In Remote Sensing in Ecology, pp. 1-16. University of Georgia Press, Athens, Georgia.
Huete, A.R. & Jackson, R.D. (1987). Suitability of spectral indices for evaluating vegetation characteristics on arid rangelands. Remote Sensing of Environment, 23,213-232.
Kalluri, S., Gilruth, P., & Bergman, R. (2003). The potential of remote sensing data for decision makers and the state, local and tribal level: experiences from NASA's Synergy program. Environmental Science & Policy, 6,487-500.
Lajeunesse, S., Sheley, R., Duncan, C., & Lym, R. (1999). Biology and management of noxious rangeland weeds. In, pp. 249-260. Oregon State University Press, Corvallis, OR.
Lass, L.W., Prather, T.S., Glenn, N.F., Weber, K.T., Mundt, J.T., & Pettingill, J. (2005). A review of remote sensing of invasive weeds and example of the early detection of spotted knapweed (Centaurea maculosa) and babysbreath (Gypsophilia paniculata) with a hyperspectral sensor. Weed Science, 53,242-251.
Lewis, M. (2003). Hyperspectral discrimination of vegetation - what is possible? In Proceedings of the EPA Spectral Remote Sensing of Vegetation Conference, Las Vegas, NV.
Okin, G.S., Roberts, D.A., Murray, B., & Okin, W.J. (2001). Practical limits on hyperspectral vegetation discrimination in arid and semiarid environments. Remote Sensing of Environment, 77,212-225.
Parrish, J.D., Braun, D.P., & Unnasch, R.S. (2003). Are we conserving what we say we are? Measuring ecological integrity within protected areas. BioScience, 53(9), 851-860.
Prather, T.S. & Callihan, R.H. (1993). Weed eradication using Geographic Information Systems. Weed Technology, 7265-269.
Tueller, P.T. (1987). Remote sensing science applications in arid environments. Remote Sensing of Environment, 23,143-154.
Underwood, E., Ustin, S.L., & DiPietro, D. (2003). Mapping non-native plants using hyperspectral imagery. Remote Sensing of Environment, 86,150-161.
Ustin, S.L., DiPietro, D., Olmstead, K., Underwood, E., & Scheer, G.J. (2002). Hyperspectral remote sensing for invasive species detection and mapping. In Canadian Symposia on Remote Sensing, Toronto, B.C.
Warren, P.L. & Hutchison, C.F. (1984).Indicators of rangeland change and their potential for remote sensing. Journal of Arid Environments, 7,107-126. |
|