Developing an index of wetland condition from ecological data: An example using HGM functional variables from the Nanticoke watershed, USA

Abstract

Demand for data on the ecological condition of wetlands is increasing as state and federal management programs recognize its value in reporting on the ambient condition of the resource, targeting restoration and protection efforts, evaluating the effects of mitigation and restoration practices, supporting regulatory decisions, and tracking the impact of land use decisions. We developed an approach for generating a single measure of wetland condition from ecological variables used in hydrogeomorphic (HGM) assessment. An Index of Wetland Condition (IWC) was developed from HGM field data collected to assess freshwater, non-tidal flat, riverine, and depression wetlands in the Nanticoke River watershed. The HGM variables were screened and scored based on a range check, responsiveness, and metric redundancy, employing a method used to develop indices of biotic integrity. Weights of the individual variables were adjusted to reflect our understanding of wetland ecology and to include variables that represented the vegetation, hydrology, and buffer of a wetland. The final IWC score discriminated high, medium, and low site disturbance classes in flat and riverine wetlands and high and low disturbance classes in depressions, one-way ANOVA F-values ranged from 44.5 to 79.1 (all p <0.0001). The combination of the IWC and HGM assessments provides a comprehensive evaluation of the wetland resource. HGM produces information on specific wetland functions. The IWC concisely conveys the ecological condition of the resource and maximizes the utility of the data collected in an HGM assessment.