448 pages | 162 B/W Illus.
While many "alien" plant and animal species are purposefully introduced into new areas as ornamentals, livestock, crops, and even pets, these species can escape into other areas and threaten agricultural and native ecosystems causing economic and environmental harm, or harm to human health. Increasingly, scientists are using Geographic Information Systems (GIS) to track and manage the invaders, mitigate the potential rate of spread and level of impact, and protect the native economy and ecosystem.
Beginning with an introduction to the use of GIS technology to capture, store, analyze, manage, and present data, GIS Applications in Agriculture, Volume Three: Invasive Species examines five relevant categories of geographic information including dispersal and transport, prediction and forecasting, mapping of current infestations, maps for management and control tactics, and impact assessment and method of control. It address GIS for studying the population ecology of a new species, niche requirements for species success, and the monitoring and control of several different species including Australian examples of intentionally introduced invasive species, insects and other animals that may also vector a disease, and invasive weed management from prediction to management.
Chapters cover maps and imageries available on various Web sites and provide step-by-step tutorials or case studies that allow manipulation of datasets featured on the accompanying CD-ROM to make maps, perform statistical analyses, and predict future problems. It offers hands-on experience with a variety of software programs that create interactive queries (user-created searches), analyze spatial information, edit data and maps, and present the results of these operations in several different formats. Some of the programs are freeware, others are not, but each can be used to integrate, edit, share, and display geographic information. Color figures are also available on the CD-ROM.
Introduction: Remote Sensing and GIS Techniques for the Detection, Surveillance, and Management of Invasive Species, K. Dalsted
Obtaining Spatial Data, M. O’Neill and K. Dalsted
Population Ecology Considerations for Monitoring and Managing Biological Invasions, P.C. Tobin, L.M. Blackburn, S.J. Fleischer, and E. Anderson Roberts
Integrating GPS, GIS, and Remote Sensing Technologies with Disease Management Principles to Improve Plant Health, F.W. Nutter, Jr., E.Z. Byamukama, R.A. Coelho-Netto, S.K. Eggenberger, M.L. Gleason, A. Gougherty, A.E. Robertson, and N. Van Rij
Mapping Actual and Predicted Distribution of Pest Animals and Weeds in Australia, P. West, L. Brown, C. Auricht, and Q. Hart
Use of GIS Applications to Combat the Threat of Emerging Virulent Wheat Stem Rust Races, D. Hodson and E. DePauw
An Online Aerobiology Process Model, J.M. Russo and S.A. Isard
Site Specific Management of Green Peach Aphid, Myzus persicae (Sulzer), I. MacRae, M. Carroll, and M. Zhu
Analysis of the 2002 Equine West Nile Virus Outbreak in South Dakota Using GIS and Spatial Statistics, M.C. Wimberly, E. Lindquist, and C.L. Wey
Designing a Local-scale Microsimulation of Lesser Grain Borer Population Dynamics and Movements, J.M.S. Hutchinson, J.F. Campbell, M.D. Toews, T.J. Vought, Jr.,
and S.B. Ramaswamy
Geographic Information Systems in Corn Rootworm Management, B. Wade French, K.D. Reitsma, A.A. Beckler, L.D. Chandler, and S.A. Clay
Improving Surveillance for Invasive Plants: A GIS Toolbox for Surveillance Decision Support, J.C. Fox and D. Pullar
Tracking Invasive Weed Species in Rangeland Using Probability Functions to Identify Site Specific Boundaries: A Case Study Using Yellow Starthistle (Centaurea solstitialis L.), L.W. Lass, T.S. Prather, B. Shafii, and W.J. Pric
Using GIS to Map and Manage Weeds in Field Crops, M.S. Gumz and S.C. Weller
Adapting Geostatistics to Analyze Spatial and Temporal Trends in Weed Populations, N. Colbach and F. Forcella
Using GIS to Investigate Weed Shifts After Two Cycles of a Corn/Soybean Rotation, K.D. Reitsma and S.A. Clay
Creating and Using Weed Maps for Site-Specific Management, J.A. Dille, J.W. Vogel, T.W. Rider, and R.E. Wolf