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Watershed Planning within a Quantitative Scenario Analysis Framework
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Developmental framework for a desktop hydrogeomorphic wetland functional assessment derived from field-based data.

Peter J Backhaus1, Denice H Wardrop2,3, Gregory W McCarty4

  • 1Riparia, Department of Geography, Pennsylvania State University, 302 Walker Building, University Park, State College, PA, 16802, USA. peter.j.backhaus@alumni.psu.edu.

Environmental Monitoring and Assessment
|January 29, 2024
PubMed
Summary

Wetland loss impacts ecosystem services. A new Hydrogeomorphic Remote Assessment of Wetland Function (HGM-RAWF) framework uses remote sensing to assess wetland functions, offering a cost-effective alternative to field assessments.

Keywords:
Ecosystem servicesFunctional assessmentHGMRemote sensingWetlands

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Area of Science:

  • Environmental Science
  • Ecology
  • Remote Sensing

Background:

  • Wetland loss diminishes crucial ecosystem services.
  • Field-based wetland functional assessments are accurate but costly and time-consuming.
  • Remote-based assessments offer scale but often lack detail and accuracy.

Purpose of the Study:

  • To develop a cost-effective remote assessment framework for wetland ecological functions.
  • To create the Hydrogeomorphic Remote Assessment of Wetland Function (HGM-RAWF) protocol.
  • To enable broad-scale wetland function assessments comparable to field methods.

Main Methods:

  • Developed the HGM-RAWF framework based on the hydrogeomorphic approach.
  • Substituted field-based methods with remotely assessed proxies identified via literature review and statistical screening.
  • Utilized a database of 222 Mid-Atlantic freshwater wetlands for calibration and comparison.

Main Results:

  • The HGM-RAWF protocol successfully assesses seven key hydrology and biogeochemistry functions.
  • Remote assessment scores closely align with those from field-based assessments.
  • The framework allows for desktop assessments across large geographic areas.

Conclusions:

  • HGM-RAWF provides a scalable and cost-effective method for wetland functional assessment.
  • The framework bridges the gap between broad-scale remote sensing and detailed field assessments.
  • HGM-RAWF can be adapted regionally and serve as a model for national wetland monitoring.