Here we have highlighted some of the projects that are technically supported by GAL. Most are coordinated with the ND community to meet their research goals using geospatial techniques. Browse the links to the left to learn more about these exciting projects.

Geographic Selection Bias of Occurrence Data Influences Transferability of Invasive Hydrilla Verticillata Distribution Models

  • Project Period: 2014
  • Contributor: Milan Budhathoki
  • Researchers: Matthew A. Barnes, Christopher L. Jerde, Marion E. Wittmann, W. Lindsay Chadderton, Jianqing Ding, Jialiang Zhang, Matthew Purcell, and David M. Lodge

Reporting on the occurrence of native species Due to political, cultural, and geographic differences, the accuracy and extent of reporting on the occurrence of native species differs among countries, which can impact the performance of species distribution models. We assessed the importance of geographical biases in occurrence data on model performance using the invasive aquatic macrophyte Hydrilla verticillata as a case study

hydrilla1Hydrilla verticillata native and US range