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United States Department of Agriculture (USDA) 2021

Development of an All-lands Wind Erosion Model

Wind erosion Model

United States Department of Agriculture (USDA) Agricultural Research Service (ARS)

Titre : Development of an All-lands Wind Erosion Model

Identification : 3050-11210-009-030-I

Pays : Etats Unis

Durée : Start Date : Jul 1, 2021 // End Date : Sep 29, 2022

Location : Range Management Research Las Cruces NM

Objectifs
Wind erosion : The overall objectives of the work are : 1. Maintain AERO model code and develop AERO model to support CEAP-GL goals. 2. Guide CEAP-GL team on use of national monitoring datasets and remote sensing products to support multi-scale assessments including wind erosion, dust emission and other indicators with respect to conservation practices. 3. Build our understanding of where, when, and how much wind erosion and dust emission occur across the US with respect to conservation practices and that contribute to objectives of CEAP-GL conservation assessments as guided by CEAP-GL. 4. Develop the underpinning science and knowledge required to incorporate wind erosion information into decision support for conservation practices, including using Ecological Site Descriptions (ESDs) and state-and-transition models (STMs) to support assessments of the impacts of land use and land cover change and land management on wind erosion and dust emissions in the US. Data commons : The overall objectives of the work are : 5. Harmonize monitoring data from NRI, BLM AIM, BLM LMF and the National Wind Erosion Research Network that contribute to management objectives of the Natural Resources Conservation Service (NRCS), CEAP-GL conservation assessments. 6. Develop a website with access to specific data for CEAP-GL partners with appropriate confidentiality credentials to obtain processed data suitable for use in rangeland assessments. 7. Link harmonized data to ESDs and Ecological Site Groups (ESGs) to connect quantitative information including status of indicators and current condition to conservation practices. 8. Develop model parameterization files and analysis tools that leverage linked harmonized monitoring data, models and model estimates (e.g., AERO, RHEM) in the ESD/STM framework and other data to support CEAP-GL assessments. 9. Produce multi-indicator analyses from harmonized data and other data to support CEAP-GL objectives at different scales as guided by CEAP-GL objective

Présentation : USDA (ARS)

Page publiée le 26 novembre 2021