Abstract
Integrating GIS and Statistical Modeling in Assessing Invasive Plants
Track: Ecology and Conservation
Author(s): Dawn Lemke, Philip Hulme , Jennifer Brown , Wubishet Tadesse
As our impacts on the landscape changes the composition of 'natural' areas, it is important that we integrate spatial technology to assist in active management. This research explores the integration of GIS and remote sensing with statistical analysis to assist in species distribution modeling. It is applicable to both native and non native communities and has the ability to assist land managers in identifying both areas of importance and areas of threat. It has been suggested that Maximum Entropy models can better assess possible species distribution, while logistic regression is more representative of the current species distribution. This presentation discusses the application of these models in association with GIS in application to modeling non native species in the Cumberland Plateau and Mountain Region.
Dawn Lemke
Alabama A&M University
227 Schuman Drive
New Market , Alabama 35761
United States
Phone: 256 372 4566
E-mail: dawn.lemke@aamu.edu
Philip Hulme
National Centre for Advanced Bio-Protection Technologies, Lincoln University
PO Box 84
Lincon 7647
New Zealand
Phone: +64 3 321 8317
E-mail: hulmep@lincoln.ac.nz
Jennifer Brown
Biomathematics Research Centre, Canterbury UniversityPrivate Bag 4800
Private Bag 4800
Christchurch 8140
New Zealand
Phone: +64-3-364-2987
E-mail: J.Brown@math.canterbury.ac.nz
Wubishet Tadesse
Alabama A&M University
P.O. Box 1357
Normal , Alabama 35762
United States
Phone: 256 372 4252
E-mail: Wubishet.Tadesse@aamu.edu