Montana Deptartment of Transportation & Montana State University 20060719 1.0 raster digital data Helena, MT Montana State Library https://ftpgeoinfo.msl.mt.gov/data/Spatial/NonMSDI/Raster/MDT_Weeds_2005.zip Species presence/absence data from the MDT Noxious Weed Inventory were used to create maps that predict the probability of occurrence for selected noxious weed species observed along MDT rights-of-way in Montana. The models used to create these maps were built using a general linear regression model and geographic information system software (GIS). The models were based upon correlations with environmental variables such as precipitation, growing degree days, land use and elevation. Our goal was to create maps that would be useful to land managers for understanding noxious weed species distributions and for strategically surveying for new populations. Data are available for the following noxious weed species: Canada thistle (Cirsium arvense) Common crupina (Crupina vulgaris) Common tansy (Tanacetum vulgare) Dalmatian toadflax (Linaria dalmatica) Diffuse knapweed (Centaurea diffusa) Field bindweed (Convolulus arvensis) Houndstounge (Cynoglossum officinale) Leafy spurge (Euphorbia esula) Meadow hawkweed (Hieracium pratense) Orange hawkweed (Hieracium aurantiacum) Oxeye daisy (Chrysanthemum leucanthemum) Russian knapweed (Acroptilon repens) Spotted knapweed (Centaurea maculosa) St. John's wort (Hypericum perforatum) Sulfur cinquefoil (Potentilla recta) Tall buttercup (Ranunculus acris) Whitetop (Cardaria chalepensis,C. pubescens and C. draba) Land managers need to know where weed populations are, and also if these populations are changing in density or extent throughout the landscape. Not all populations will increase at the same rate so measurements need to be taken to determine which populations in which environments are more to less invasive. Armed with this information, managers would be able to prioritize their noxious weed management. While it will never be possible to manage all noxious weed species or all populations of a specific noxious weed species, these models can aid in prioritizing the management of those populations that pose the greatest threat to agriculture, wildlands, roadsides or the management goals. 20060719 publication date Complete -116.309885 -103.481066 49.184063 44.147436 ISO 19115 Topic Category biota farming environment Noxious Weed Probability Map State Highways Montana None The Montana State Library provides this product/service for informational purposes only. The Library did not produce it for, nor is it suitable for legal, engineering, or surveying purposes. Consumers of this information should review or consult the primary data and information sources to ascertain the viability of the information for their purposes. The Library provides these data in good faith but does not represent or warrant its accuracy, adequacy, or completeness. In no event shall the Library be liable for any incorrect results or analysis; any direct, indirect, special, or consequential damages to any party; or any lost profits arising out of or in connection with the use or the inability to use the data or the services provided. The Library makes these data and services available as a convenience to the public, and for no other purpose. The Library reserves the right to change or revise published data and/or services at any time. Lisa J. Rew Montana State University, Land Resources and Environmental Sciences Assistant Research Professor mailing address

PO Box 173120

Bozeman Montana 59717-3120 406-994-7966 406-994-3933 lrew@montana.edu Microsoft Windows 2000 Version 5.0 (Build 2195) Service Pack 4; ESRI ArcCatalog 9.1.0.722 Raster Grid Cell 671 1165 1 State Plane Coordinate System 1983 2500 45.000000 49.000000 -109.500000 44.250000 600000.000000 0.000000 row and column 804.700000 804.700000 meters North American Datum of 1983 Geodetic Reference System 80 6378137.000000 298.257222 Value Attribute Table ObjectID Internal feature number. Value Noxious Weed Invasiveness Ranking 1 Highest Probability of species invasion > 85% 2 High Probability of species invasion > 65% 3 Moderate Probability of species invasion > 45% 4 Low Probability of species invasion > 25% 5 Lowest Probability of species invasion < 25% Montana State Library mailing address

PO Box 201800

Helena MT 59620-1800 406-444-5354 406-444-5354 Montana Relay 711 406-444-0266 geoinfo@mt.gov geoinfo@mt.gov Downloadable Data The Montana State Library provides this product/service for informational purposes only. The Library did not produce it for, nor is it suitable for legal, engineering, or surveying purposes. Consumers of this information should review or consult the primary data and information sources to ascertain the viability of the information for their purposes. The Library provides these data in good faith but does not represent or warrant its accuracy, adequacy, or completeness. In no event shall the Library be liable for any incorrect results or analysis; any direct, indirect, special, or consequential damages to any party; or any lost profits arising out of or in connection with the use or the inability to use the data or the services provided. The Library makes these data and services available as a convenience to the public, and for no other purpose. The Library reserves the right to change or revise published data and/or services at any time. ESRI Grid https://ftpgeoinfo.msl.mt.gov/data/Spatial/NonMSDI/Raster/MDT_Weeds_2005.zip 20140116 20060712 Frank Dougher Montana State University, Land Resources and Environmental Sciences mailing address

PO Box 173120

Bozeman Montana 59717-3120 406-994-5620 fdougher@montana.edu FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 {06c1cad0-7ede-11e3-baa7-0800200c9a66}