Review of Selected Methodologies
Authored By: P. B. Woodbury, D. A. Weinstein
This section reviews selected modeling approaches relevant to the goals listed above in the Introduction section. The focus is on invasive species of concern for the Western United States, particularly forest and rangeland ecosystems. Examples were selected to cover a range of analytical techniques with an emphasis on the State or regional scale. In addition, examples were selected of two different methods applied to an invasive pathogen that is the causal agent of sudden oak death disease (Phytophthora ramorum Werres, de Cock & In’t Veld) and two methods applied to an invasive insect: the Asian long-horned beetle.
Subsections found in Review of Selected Methodologies
- Climatic and Ecological Niche Models : The most common and readily applied approaches to predicting the risk of invasive species occupying sites across a large region rely on biogeographical distribution models.
- GARP Niche Modeling Approach : In this family of approaches implemented in a software tool, the potential range of invasive species is predicted based on point data from the species native home range and spatial data including mean annual temperature, rainfall and elevation.
- FHTET National Risk Mapping Approach : This approach is a family of related approaches to predict tree mortality risk due to an invasive insect or pathogen based on expert opinion, forest inventory data, and other GIS data.
- Meentemeyer Sudden Oak Death Approach : Meentemeyer and others (2004) used a rule-based function to predict spread of sudden oak death pathogen distributions in grid cells (30m by 30m) throughout California.
- Nowak Host Range Approach : This approach predicts potential home range of an (invasive) insect or pathogen of trees by modeling the location of suitable host species based on forest inventory data.
- USGS & NASA Invasive Species MODIS-Regression : In this approach, a logistic regression is developed to predict the suitability of each 1 km pixel as habitat for tamarisk throughout the conterminous United States.
- Dark Invasive Species Spatial Autoregressive Approach : This approach uses spatial statistical analysis to predict the distribution of invasive and noninvasive alien plants throughout all bioregions in California.
- Guo Support Vector Machine Approach : This method uses a type of machine learning algorithm called support vector machine (SVM) in a niche modeling approach to predict risk of occurrence of sudden oak death throughout California.
Encyclopedia ID: p3234
