Adaptive Science
Sector: Education • Location: United States of America
Source: Grants.gov
This funding opportunity is a notice of intent to award a single source grant to the University of Chicago to help meet the U.S. Fish and Wildlife Serviceâ¿¿s (Service) need for information and collaboration directed at high impact questions surrounding threats to fish and wildlife resources for which management and/or mitigation is required to maintain species at healthy, sustainable, desired lev
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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 | This funding opportunity is a notice of intent to award a single source grant to the University of Chicago to help meet the U.S. Fish and Wildlife Serviceâ¿¿s (Service) need for information and collaboration directed at high impact questions surrounding threats to fish and wildlife resources for which management and/or mitigation is required to maintain species at healthy, sustainable, desired levels. The Service must base its decisions on the best science available, in order to defend its regulatory decisions, biological opinions and species conservation recommendations to land managers. The Service uses a science-based, adaptive framework for setting and achieving broad-scale conservation objectives that strategically address the problems fish and wildlife will face in the future. This framework, called Strategic Habitat Conservation, is based on the principles of adaptive management and uses population and habitat data, ecological models, and focused monitoring and assessment efforts to develop and implement strategies that result in measurable fish and wildlife population outcomes. This process uses the best available scientific information to predict how fish and wildlife populations will respond to changes in the environment, thus enabling the Service to focus habitat conservation and other management activities where they will be most effective. |
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 |
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