CAREER: Parameter Estimation and Identifiability for Ecological Models with Seasonal Disru — NSF Award to Texas Tech University (T
Many ecosystems change seasonally. Important outcomes may occur during a particular season, such as pests eating crops, but those outcomes are driven by recurring effects between seasons. For example, pests eating during summer affects their hibernation during winter, and survival during winter affects reproduction for
| Award title | CAREER: Parameter Estimation and Identifiability for Ecological Models with Seasonal Disru |
|---|---|
| Award ID | 2441043 |
| Awardee | Texas Tech University |
| City | LUBBOCK |
| State | TX |
| Amount obligated | $494,989 |
| Principal investigator | Amanda Laubmeier |
| Program | Population & Community Ecology, MATHEMATICAL BIOLOGY |
| Start date | 08/01/2025 |
| Abstract | Many ecosystems change seasonally. Important outcomes may occur during a particular season, such as pests eating crops, but those outcomes are driven by recurring effects between seasons. For example, pests eating during summer affects their hibernation during winter, and survival during winter affects reproduction for the next summer. Accurately quantifying this type of effect is important for understanding long-term outcomes in seasonal ecosystems. This work studies a mathematical description |
| Source | NSF Awards |
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