Determining vegetation metric robustness to environmental and methodological variables

Author:

Stern Jessica L.ORCID,Herman Brook D.,Matthews Jeffrey W.ORCID

Funder

U.S. Army Corps of Engineers

Publisher

Springer Science and Business Media LLC

Subject

Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine

Reference54 articles.

1. Andreas, B. K., Mack, J. J., & McCormac, J. S. (2004). Floristic quality assessment index (FQAI) for vascular plants and mosses for the State of Ohio. Ohio Environmental Protection Agency, Division of Surface Water, Wetland Ecology Group, Columbus, Ohio.

2. Bernthal, T. W. (2003). Development of a floristic quality assessment methodology for Wisconsin. In D. J. Watermolen (Ed.), Madison, WI: Wisconsin Department of Natural Resources, Bureau of Integrated Science Services. Retrieved from https://dnr.wi.gov/topic/Wetlands/documents/FQAMethodWithAcknowledgements.pdf

3. Bourdaghs, M., Johnston, C. A., & Regal, R. R. (2006). Properties and performance of the floristic quality index in Great Lakes coastal wetlands. Wetlands, 26(3), 718–735. https://doi.org/10.1672/0277-5212(2006)26[718:PAPOTF]2.0.CO;2

4. Bried, J. T., Strout, K. L., & Portante, T. (2012). Coefficients of conservatism for the vascular flora of New York and New England: inter-state comparisons and expert opinion bias. Northeastern Naturalist, 19, 101–114. https://doi.org/10.1656/045.019.s608

5. Burnham, K. P., & Anderson, D. R. (2002). Model selection and multimodal inference. Springer-Verlag. https://doi.org/10.1007/b97636

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