Mapping changes in tidal wetland vegetation composition and pattern across a salinity gradient using high spatial resolution imagery

Springer Science and Business Media LLC - Tập 19 - Trang 141-157 - 2010
Karin Tuxen1,2, Lisa Schile1,3, Diana Stralberg4, Stuart Siegel5, Tom Parker3, Michael Vasey3, John Callaway6, Maggi Kelly1,7
1Department of Environmental Science, Policy, and Management, University of California, Berkeley, USA
2Google Inc., Mountain View, USA
3Department of Biology, San Francisco State University, San Francisco, USA
4PRBO Conservation Science, Petaluma, USA
5Wetlands and Water Resources, Inc, San Rafael, USA
6Department of Environmental Sciences, University of San Francisco, San Francisco, USA
7Geospatial Innovation Facility, University of California, Berkeley, USA

Tóm tắt

Detailed vegetation mapping of wetlands, both natural and restored, can offer valuable information about vegetation diversity and community structure and provides the means for examining vegetation change over time. We mapped vegetation at six tidal marshes (two natural, four restored) in the San Francisco Estuary, CA, USA, between 2003 and 2004 using detailed vegetation field surveys and high spatial-resolution color-infrared aerial photography. Vegetation classes were determined by performing hierarchical agglomerative clustering on the field data collected from each tidal marsh. Supervised classification of the CIR photography resulted in vegetation class mapping accuracies ranging from 70 to 92%; 10 out of 12 classification accuracies were above 80%, demonstrating the potential to map emergent wetland vegetation. The number of vegetation classes decreased with salinity, and increased with size and age. In general, landscape diversity, as measured by the Shannon’s diversity index, also decreased with salinity, with an exception for the most saline site, a newly restored marsh. Vegetation change between years is evident, but the differences across sites in composition and pattern were larger than change within sites over two growing seasons.

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