Abstract
Wetland assessment has been shown to be an important tool in understanding the condition and function of the world’s wetlands, and use of muli-tiered assessment strategy has been recommended. In order to evaluate the performance of each tier of a multi-tiered wetland assessment strategy, we sampled 255 seasonally-ponded wetlands in the Missouri Coteau, the most wetland dense ecoregion in the Prairie Pothole Region. We assessed the condition of each study wetland using four sampling methods and models (tiers) of increasing levels of effort and complexity: (1) a level 1 assessment using the geographic information system-based Landscape Wetland Condition Analysis Model (LWCAM); (2) a level 2 assessment using the North Dakota Rapid Assessment Method (NDRAM); (3) a level 3- assessment using the vegetative-based Floristic Quality Index (FQI) and (4) a level 3 assessment consisting of a Hydrogeomorphic (HGM) Model functional assessment. We compared assessment tiers to determine how similar the different levels of assessment ranked sites either by condition or function. Both the NDRAM and FQI assessments, though very different in wetland characteristics assessed, provided similar condition rankings as the more intensive level 3 HGM assessment (89 and 90% similar, respectively). Additionally, the FQI was 86% similar to the level 2 NDRAM, indicating that these two assessment methods have utility in assessing wetlands similar to a HGM assessment. Information from this study can be used as a tool for determining need specific, financial, and time appropriate wetland sampling methods.
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Acknowledgements
Financial support was provided by the North Dakota Department of Health and the US Environmental Protection Agency Region 8 Wetland Development Grant. Breanna Kobeila, Laurie Leibel, Levi Binstock, Dustin Strong, and Beth Beckers contributed in the collection of data and data entry.
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Hargiss, C.L.M., DeKeyser, E.S., Norland, J.E. et al. Comparing tiers of a multi-tiered wetland assessment in the Prairie Pothole Region. Wetlands Ecol Manage 25, 639–647 (2017). https://doi.org/10.1007/s11273-017-9540-4
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DOI: https://doi.org/10.1007/s11273-017-9540-4