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ARS Home » Northeast Area » Beltsville, Maryland (BARC) » Beltsville Agricultural Research Center » Hydrology and Remote Sensing Laboratory » Research » Research Project #443479

Research Project: The Mid-Atlantic Wetland Conservation Effects Assessment Project

Location: Hydrology and Remote Sensing Laboratory

Project Number: 8042-13610-030-077-I
Project Type: Interagency Reimbursable Agreement

Start Date: Aug 21, 2023
End Date: Aug 21, 2028

This wetland assessment project is a part of the national CEAP network assessing effectiveness of wetland restorations in agricultural landscapes. This project focuses on assessing ecosystem services provided by wetland restorations in the Mid-Atlantic Region. [1] Characterize the risk to ecosystem service provisioning for wetland habitats. [2] Assessment of pollination ecosystem service dynamics of protected conservation habitats in cropland. [3] Assess agricultural nitrate mitigation extent by wetland ecosystems, spatially and temporally, using environmental tracers. [4] Develop wetland hydroperiod maps in Delmarva. [5] Head-water ditch mapping and critical source area characterization in Delmarva. [6] Quantifying hydrologic change with wetland restoration using time-series.

This project will: 1) Use the empirical field data to calibrate the InVEST (Integrated Valuation of Ecosystem Services and Tradeoffs) model to conduct ecosystem service analysis; 2) Compare the function assessment of the Riparia database to that within the InVEST model; 3) Compare the aptitude of different habitats as primary pollinator habitat in the intensive Midwest agricultural landscape; 4) Initiate the long-term goal of field calibration for our pollinator model; 5) Develop a deep learning model to produce wetland maps for the entire Delmarva and explore hydroperiod maps using time series using SAR imagery; 5) Use deep learning models to produce a map of head-water drainage ditches for the entire Delmarva; 6) Use deep learning approaches to demonstrate the potential for extracting micro ditches in low relief landscapes.