Publication Details

Using GIS to integrate FIA and remotely sensed data to estimate the invasibility of major forest types by non-native invasive plants in the Upper Midwest, USA

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Fan, Zhaofei; Moser, W. Keith; Crosby, Michael K.; Yu, Weiming

Year Published

2012

Publication

In: Merry, K.; Bettinger, P.; Lowe, T.; Nibbelink, N.; Siry, J., eds. Proceedings of the 8th Southern Forestry and Natural Resources GIS Conference. Athens, GA: University of Georgia, Warnell School of Forestry and Natural Resources. 8 p.

Abstract

Non-native invasive plants (NNIP) are rapidly spreading into natural ecosystems such as forests in the Upper Midwest. Using the strategic inventory data from the 2005-2006 U.S. Department of Agriculture, Forest Service’s Forest Inventory and Analysis (FIA) program and forest land cover data, we estimated the regional-invasibility patterns of NNIPs for major forest types by using Geographic Information Systems (GIS) and geostatistical tools. We define the regional invasibility of a forest ecosystem as its susceptibility to the colonization and establishment of NNIPs, measured by a function of NNIP presence and cover percent. The invasibilityof four major forest types to multiflora rose (Rosa multiflora Thunb.) and garlic mustard (Alliaria petiolata (M. Bieb.) Cavara & Grande) have been estimated and mapped and potential management applications discussed.

Citation

Fan, Zhaofei; Moser, W. Keith; Crosby, Michael K.; Yu, Weiming. 2012. Using GIS to integrate FIA and remotely sensed data to estimate the invasibility of major forest types by non-native invasive plants in the Upper Midwest, USA. In: Merry, K.; Bettinger, P.; Lowe, T.; Nibbelink, N.; Siry, J., eds. Proceedings of the 8th Southern Forestry and Natural Resources GIS Conference. Athens, GA: University of Georgia, Warnell School of Forestry and Natural Resources. 8 p.

Last updated on: September 29, 2016