Abstract
The spatial relationship between wetlands and streams influences their structure and function, and is currently tied to the regulatory status of wetlands. Efforts have been made to assess connectivity between wetlands and streams and possible management implications by comparing existing wetland and stream maps (e.g., National Hydrography Dataset [NHD]) but the reliability of these assessments is affected by the accuracy and inherent nature of input datasets. Stream datasets derived using semi-automated and automated interpretation of LiDAR derived digital elevation models were found to be considerably more accurate than NHD High Resolution (12% less accurate than automatically generated streams) and Plus (29% less accurate than automatically generated streams) and in general use of LiDAR derived datasets was found to significantly increase percent area and total number of wetlands that were considered connected at multiple buffer lengths ranging from 0 to 80 m. When wetland-stream connectivity as judged using NHD was compared to a semi-automatically generated highly accurate LiDAR derived stream dataset, the High Resolution NHD was found to underestimate semi-natural palustrine wetland area connected by 15% and number of wetlands connected by 13% on average while NHD Plus was found to underestimate semi-natural palustrine wetland area and number connected by 27% on average.
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Acknowledgments
This research was supported by the Wetlands Component of the USDA Natural Resources Conservation Service Conservation Effects Assessment Project. Thanks goes to Steve Strano, William Effland, Jeanne Christie, and Stephen Samuels for reviewing an initial draft of this article and to Andrew Russ for geospatial technical support. All trade names are included for the benefit of the reader and do not imply an endorsement of or preference for the product listed by the U.S. Department of Agriculture.
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Lang, M., McDonough, O., McCarty, G. et al. Enhanced Detection of Wetland-Stream Connectivity Using LiDAR. Wetlands 32, 461–473 (2012). https://doi.org/10.1007/s13157-012-0279-7
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DOI: https://doi.org/10.1007/s13157-012-0279-7