Processing and analysis of existing wildlife survey data to inform conservation is often slow and inefficient, resulting in lengthy lag times between questions from managers and answers from scientists
Ended Formula Grant Awarded Last action
- Award ID
- F22AF01530
- Recipient
-
California Department Of Fish & Wildlife UEI UVKGJ6U1SEG3 Part of State Of California Controllers Office
- Awarding agency
-
DOI Fish and Wildlife Service Region 8
Fish and Wildlife Service, Department of the Interior
- Obligated
- $164,982
Award facts
- Assistance listing
- 15.634 State Wildlife Grants
- Completion date
- Funding
-
- $107,237.97 Federal
- $57,744.06 Non-federal
- Place of performance
- California, USA
Award details come from USAspending.gov.
Description
This grant will improve efficiency of data analysis. Through a contract, researchers at UC berkeley will customize the nimble application of r statistical software to speed up solve times of multi-species occupancy models using existing landscape-scale, wildlife survey data from cameras (terrestrial mammals) and sound recorders (birds and bats). Additionally, staff at the california department of fish and wildlife (cdfw) will package the software code in a convenient dashboard application that runs batches of models; visualizes trends and associations with wildfire, climate, and other stressors; and shows species distribution maps.
Transactions
| Action | Federal | Non-federal | Date |
|---|---|---|---|
| Amendment | -$104,830 | -$56,447 | |
| Original award | $212,068 | $114,191 |
Quick answers
Who received award F22AF01530?
F22AF01530 was awarded to California Department Of Fish & Wildlife by DOI Fish and Wildlife Service Region 8 (Fish and Wildlife Service) on July 1, 2022.
How much is award F22AF01530 worth?
$164,982 has been obligated on F22AF01530: $107,238 in federal funding and $57,744 in non-federal funding.
On GovTribe
See this award's full record
- Every transaction and subaward
- The recipient's other awards and teaming partners
- Similar grant awards
- Ask GovTribe AI about this award