Hydrogeomorphic (HGM) assessment - A test of user consistency. Whigham, D., Lee, L. C., Brinson, M. M., Rheinhardt, R. D., Rains, M. C., Mason, J. A., Kahn, H., Ruhlman, M. B., & Nutter, W. L. Wetlands, 1999. ![Hydrogeomorphic (HGM) assessment - A test of user consistency [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper abstract bibtex We describe the first test conducted to determine user consistency in the application of hydrogeomorphic (HGM) functional assessment models. Over a three-week period, two teams of individuals trained in the HGM methodology assessed 44 riverine wetlands on the Coastal Plain of Delaware, Maryland, and Virginia, USA. Results demonstrated a high degree of agreement between the two assessment teams for both Variable Subindices and Functional Capacity Index Scores, indicating that the assessment models were robust and results were repeatable. Analyses of the data demonstrated the importance of only using variables whose measurements are repeatable. When variable measurements are not repeatable, HGM functional capacity scores are detrimentally affected, especially functions that are modeled by only a few variables.
@article{whigham_hydrogeomorphic_1999,
title = {Hydrogeomorphic ({HGM}) assessment - {A} test of user consistency},
volume = {19},
url = {://000082677100008},
abstract = {We describe the first test conducted to determine user consistency in the application of hydrogeomorphic (HGM) functional assessment models. Over a three-week period, two teams of individuals trained in the HGM methodology assessed 44 riverine wetlands on the Coastal Plain of Delaware, Maryland, and Virginia, USA. Results demonstrated a high degree of agreement between the two assessment teams for both Variable Subindices and Functional Capacity Index Scores, indicating that the assessment models were robust and results were repeatable. Analyses of the data demonstrated the importance of only using variables whose measurements are repeatable. When variable measurements are not repeatable, HGM functional capacity scores are detrimentally affected, especially functions that are modeled by only a few variables.},
number = {3},
journal = {Wetlands},
author = {Whigham, D.F. and Lee, L. C. and Brinson, Mark M. and Rheinhardt, R. D. and Rains, M. C. and Mason, J. A. and Kahn, H. and Ruhlman, M. B. and Nutter, W. L.},
year = {1999},
keywords = {VCR, vegetation, wetlands, forests, Virginia, Maryland, riverine wetlands, Delaware Chickahominy River, HGM, hydrogeomorphic approach, reference wetlands, test of user consistency}
}
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