Cooperative Ecosystem Studies Unit, Great Rivers CESU
Sector: Commercial • Location: United States of America
Source: Grants.gov
The USGS is offering a funding opportunity to a CESU partner for research on the future effects of climate and land-use change on waterfowl population dynamics, as they effect waterfowl harvest management. Building on previous work that linked climate projections to demographics of mallards (Anas platyrhynchos) in the midcontinent population (Zhao et al. 2016, 2018, 2019), seek forecas
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | archived |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The USGS is offering a funding opportunity to a CESU partner for research on the future effects of climate and land-use change on waterfowl population dynamics, as they effect waterfowl harvest management. Building on previous work that linked climate projections to demographics of mallards (Anas platyrhynchos) in the midcontinent population (Zhao et al. 2016, 2018, 2019), seek forecasts of habitat conditions in the Prairie Pothole region for the next century. In addition, seek the identification of climate variables that have a predictive value for the dynamics of Atlantic Population Canada geese and forecasts thereof. This research will be integrated with harvest management models being developed at PWRC to provide guidance to the U.S. Fish and Wildlife Service about the value of time-dependent harvest strategies. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
