Dana Infante, PhD
Areas of Expertise:
River ecology and management; landscape ecology; environmental assessment
Ph.D., Resource Ecology and Management, University of Michigan, 2005
M.S., Resource Ecology and Management, University of Michigan, 2001
B.S., Scientific Writing, University of Michigan, 1994
Dr. Infante is a professor whose research focuses on applying a landscape approach to understand condition of and limits to aquatic habitats and the organisms they support. Her work links themes of landscape ecology with traditional objectives of conservation biology and fisheries management.
Dr. Infante is also a PERM faculty member, and current projects being conducted for Fisheries Division of MDNR include development of state-wide datasets to aid in decision-making on where and how to manage and protect aquatic habitats and inland fishes. Dr. Infante also works closely with the US Fish and Wildlife Service and the US Geological Survey. Since 2007, she has been lead PI on a national project to assess the condition of all US streams including those of Alaska and Hawaii, and she is currently working to model distributions of stream fishes nationally for the USGS Aquatic AGAP Program.
Through such efforts, Dr. Infante has collaborated with a network of stakeholders from across the US to promote and enhance her research outcomes. Her applied take on research is tailored to improving opportunities to conserve stream fishes and their habitats from current and future threats.
Dr. Infante holds a doctoral and master’s degrees in resource ecology and management from the University of Michigan. She earned her bachelor’s degree in scientific writing from the University of Michigan.
Click here to view Dana Infante's website.
- Effects of landscape-scale factors (i.e., geology, land cover, climate) on physical and biological features of river systems
- River catchment hydrology and stream channel geomorphology
- Ecological assessment
- Sustainable management of aquatic systems
- Aquatic Ecosystem Management, FW 414
- Hydrology For Watershed Management, FW 454
Published on February 9, 2022
Published on June 23, 2021
Published on February 4, 2021
Published on August 7, 2020
ECOLOGICAL MODELLING - Improving species distribution model predictive accuracy using species abundance: Application with boosted regression trees
Published on July 24, 2020
Published on June 23, 2020
Published on November 5, 2019
Published on June 19, 2019