Opportunity NWRS-R2-20130-10-01

The summary for the Opportunity NWRS-R2-20130-10-01 Federal Grant is detailed below. It contains information such as the Catalog of Federal Domestic Assistance (CFDA) number, who is eligible for the grant, how much grant money will be awarded, important deadlines, and a sampling of similar government grants. Verify the accuracy of the data FederalGrants.com provides by visiting the webpage noted in the Link to Full Announcement section or by contacting the appropriate person listed in the Grant Announcement Contact section. If these sections are incomplete, please visit the website of the government agency that is offering this grant.


	Federal Grant Title:	Opportunity NWRS-R2-20130-10-01
	CFDA Number:	15.660
	CFDA Description:	Endangered Species - Candidate Conservation Action Funds
	Federal Agency Name:	Other Agency
	Category of Funding Activity:	Natural Resources
	Category Explanation:	Information not provided
	Opportunity Category:	Discretionary
	Funding Opportunity Number:	NWRS-R2-20130-10-01
	Document Type:	Grants Notice
	Funding Instrument Type:	Cooperative Agreement
	Posted Date:	Feb 04, 2010
	Creation Date:	Feb 04, 2010
	Original Closing Date for Applications:	Mar 04, 2010
	Current Closing Date for Applications:	Mar 04, 2010
	Archive Date:	Apr 03, 2010
	Expected Number of Awards:	1
	Estimated Total Program Funding:	$12,000
	Federal Grant Award Ceiling:	$15,000
	Federal Grant Award Floor:	$10,000
	Cost Sharing or Matching Requirement:	No

Applicants Eligible for this Grant: State governments - Special district governments - Public and State controlled institutions of higher education - Native American tribal governments (Federally recognized) - Native American tribal organizations (other than Federally recognized tribal governments) - Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education - Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education - Private institutions of higher education - For profit organizations other than small businesses - Small businesses - Others (see text field entitled "Additional Information on Eligibility" for clarification)
Additional Information on Eligibility: Eligible applicants include nonprofit organizations, public and private educational organizations, federal, state, local and tribal governments and organizations, foreign governments, consulting firms, research firms and individual companies.
Grant Description: The United States Fish and Wildlife Service (USFWS) and the Arizona Game and Fish Department (AZGFD) count and estimate desert bighorn sheep (DBS) populations on Federal and State owned lands. A variety of methods have been used since 1981, founded on a two-helicopter double-count, simultaneous double-count, and mark-resight methodology (Seber 1973, Furlow et al. 1981, Miller et al. 1985, Samuel et al. 1987, Lee et al. 1992). Presently, a "group-size-density-estimator" method is in use and has been consistently conducted since 1997. The areas surveyed and the amount of effort in each survey is standardized. Radio-collared sheep were used to evaluate sighting rates for these surveys (Hervert et al. 1998). Over recent years, both agencies have dedicated much effort to address the level of variation associated with such survey data. One problematic issue is that the average group size of the marked animals seen on surveys can be significantly larger than the average group size of marked animals missed on surveys. This difference can be explained by the observed probabilities for discrete group sizes. For example, observers miss more small groups than large groups. This group size bias can greatly influence the accuracy of the population estimate. This bias can generate estimates with wide confidence intervals. This in turn challenges managers' abilities to accurately determine population declines or increases in a statistically defensible framework. Presently, survey data are used for (but not limited to) evaluating population trends, regional meta-analyses, setting harvest objectives, quantifying lamb/ewe ratios, and lambda. The successful applicant will need to understand the connection between survey methods and the management decisions made from the survey data now, and the population based information we hope to gain from survey data. Certainly, the biometrician must know what the survey results are used for in order to help tune the technique. Such discussions will be led by AZGFD. Deliverables 1) Ensure that statistical calculations in present methods are correct. 2) Irrespective of the outcome of #1, we seek an evaluation to improve survey methodology and data analysis to increase survey accuracy. This requires: A) An investigation that quantifies and reports the relationship between count accuracy and effort, and presents a range of options informing agencies the tradeoffs between count accuracy and effort. B) Provide information describing changes we can easily make, versus changes that would require significant retooling and investment, (i.e. 'easy', low-hanging fruit changes vs. expensive time consuming changes) and expected accuracy from given methods. C) For example, what improvements could be conducted to get population estimates within 25%, 15% and 5% of the true population size? What increases in effort or costs would this or would this not incur? 3) These agencies seek a robust method applicable to estimating desert bighorn sheep numbers range-wide. Consistency in methods among disparate populations when aggregated makes range-wide predictions more robust. Achieving this objective entails knowing tradeoffs between the available options to increase survey accuracy, effort and costs. Granted, some areas may warrant different survey efforts than others. That in itself is fine, as long as estimates gained from disparate methods correspond and scale 4) Examine historic count data and methods to determine if back calculations can be conducted to provide more accurate population estimates and more accurately reflect counts gained from present methods. If such analyses are appropriate, then perform those calculations. 5) Can biometric modeling allow us to project populations for the next year? If we could generate a robust method to forecast populations, it could mean scaling back surveys to every other year or every three years at a substantial cost savings. It would also allow us to set hunt permits more accurately. Scaling back surveys would cause a decrease in our abilities to quantify certain population parameters. We would need to know these tradeoffs. Results of this project are highly relevant to enumerating sheep across Federal and State lands, plus other desert bighorn sheep populations range-wide. Indeed, counts generated from consistent methods in disparate locations enables us to better compare and contrast populations, and evaluate range-wide trends. Overall, this is an exploration seeking to improve how we enumerate animals notoriously difficult to census. Results of this work enable us to evaluate what we do and determine which adjustments to current protocols may make most sense considering the nature of their improvements and costs to get them. Herein we are not proposing any changes in survey methodology. Rather, we're seeking an objective evaluation of the method to help improve it. Project results will better empower both agencies to balance needs with improvements and costs, while also providing more information to appropriately articulate the challenges and limitations inherent in these important surveys.
Link to Full Grant Announcement: Information not provided
Grant Announcement Contact: Dr. Grant Harris 505-248-6817 fax 505-248-6874

grant_harris@fws.gov [grant_harris@fws.gov]
Similar Government Grants: • Fiscal Year 2011 Candidate Conservation Action Funds; • Opportunity FWS-ES-BCC-10; • Evaluation and Improvement in Desert Bighorn Sheep Population Estimates; • Evaluating status of native grasslands for masked bobwhites and other endemic birds in the Sonoran D...; • Endangered Species - Candidate Conservation Implementation