Models seek to describe the natural world around us and how we interact with the world. For example, physical models might help Upper Midwest Environmental Sciences Center (UMESC) visitors understand landscapes, such as the Mississippi River or topology and water flow.
Likewise, mathematical and statistical models help people to understand quantitative relations in our work through repetitive evaluations or simulation. Broadly, scientists at UMESC create models to both describe and predict ecological systems and processes. These include describing the past, understanding the present, predicting the future, and comparing different management scenarios. Modeling research at UMESC is driven by resource management information needs and some examples include:
-
Multiscale occupancy modeling of environmental DNA using the R package EDNAOCCUPANCY
- Characterizing Climate- Driven Changes to Flood Events and Floodplain Forests in the Upper Mississippi River to Inform Management,
- Climate change impacts on freshwater mussels,
- Forest Landscape Ecology of the Upper Mississippi River Floodplain,
- Modeling and mapping vegetation change at Isle Royale National Park, USA in response to wolf restoration and climate change,
- Modeling the response of cave hibernating Myotis species to white-nose syndrome mitigation tactics,
- Population viability analysis of endangered species, and
- Statistical models to guide monarch butterfly monitoring.
Models seek to describe the natural world around us and how we interact with the world. For example, physical models might help Upper Midwest Environmental Sciences Center (UMESC) visitors understand landscapes, such as the Mississippi River or topology and water flow.
Likewise, mathematical and statistical models help people to understand quantitative relations in our work through repetitive evaluations or simulation. Broadly, scientists at UMESC create models to both describe and predict ecological systems and processes. These include describing the past, understanding the present, predicting the future, and comparing different management scenarios. Modeling research at UMESC is driven by resource management information needs and some examples include:
-
Multiscale occupancy modeling of environmental DNA using the R package EDNAOCCUPANCY
- Characterizing Climate- Driven Changes to Flood Events and Floodplain Forests in the Upper Mississippi River to Inform Management,
- Climate change impacts on freshwater mussels,
- Forest Landscape Ecology of the Upper Mississippi River Floodplain,
- Modeling and mapping vegetation change at Isle Royale National Park, USA in response to wolf restoration and climate change,
- Modeling the response of cave hibernating Myotis species to white-nose syndrome mitigation tactics,
- Population viability analysis of endangered species, and
- Statistical models to guide monarch butterfly monitoring.