Creating Adaptation Strategies for Parks Using Enduring Features

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Funding Opportunity ID:309021
Opportunity Number:P18AS00701
Opportunity Title:Creating Adaptation Strategies for Parks Using Enduring Features
Opportunity Category:Discretionary
Opportunity Category Explanation:
Funding Instrument Type:Cooperative Agreement
Category of Funding Activity:Science and Technology and other Research and Development
Category Explanation:This is a Notice of Intent to Award, not a request for applications and no applications will be accepted under this announcement. The purpose of this funding opportunity announcement is to provide public notice of the National Park Service's intention to fund this project without competition as a modification to an existing task agreement under an existing cooperative agreement with NatureServe(P15AC01330).
CFDA Number(s):15.944
Eligible Applicants:Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education
Additional Information on Eligibility:
Agency Code:DOI-NPS
Agency Name:Department of the Interior
National Park Service
Posted Date:Sep 17, 2018
Close Date:Sep 27, 2018 This is a Notice of Intent to Award, not a request for applications and no applications will be accepted under this announcement. The purpose of this funding opportunity announcement is to provide public notice of the National Park Service's intention to fund this project without competition as a modification to an existing task agreement under an existing cooperative agreement with NatureServe(P15AC01330).
Last Updated Date:Sep 17, 2018
Award Ceiling:$135,000
Award Floor:$1
Estimated Total Program Funding:$135,000
Expected Number of Awards:1
Description:Data on sensitivity and adaptive capacity was incorporated at the landscape scale using remote sensing data. But, the assessment needs ground-truthing, using the substantial fine scale data available from NCRN monitoring plots. This will provide park managers with explicitly-defined sensitivity to stressors by assessing ecological integrity, and with improved understanding of existing adaptive capacity measures that incorporate topographic complexity, local connectivity and forest patch size. The NCRN data will improve the modeling of forest response to larger landscape and regional scale exposures from stressors. We will use a spatial framework that assesses the systems ecological integrity over time and include other system stressors. The framework will use plot data from the parks’ vegetation classification and maps (113 plant communities, grouped into 24 ecological systems) and also 15 years of NCRN and other eastern I&M Networks monitoring data.
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