Mapping wetlands: A comparison of two different approaches for New Brunswick, Canada

Wetlands

Volumn 27, Issue 4, 2007, Pages 846-854

  Murphy, Paul N C ^a   Ogilvie, Jae ^a   Connor, Kevin ^b   Arp, Paul A ^a  

^a UNIVERSITY OF NEW BRUNSWICK   (Canada)

^b Hugh John Flemming Forestry Centre   (Canada)

Author keywords

GIS; Riparian zones; Soil mapping; Soil wetness index; Topographic modeling; Topography; Wetland management

Indexed keywords

BIODIVERSITY; DIGITAL ELEVATION MODEL; GIS; LANDSCAPE; MAPPING; RIPARIAN ZONE; TOPOGRAPHY; WETLAND MANAGEMENT;

CANADA; NEW BRUNSWICK; NORTH AMERICA;

EID: 55249088364     PISSN: 02775212     EISSN: None     Source Type: Journal    
DOI: 10.1672/0277-5212(2007)27[846:MWACOT]2.0.CO;2     Document Type: Article

References (35)

1. Baker, C., R. Lawrence, C. Montagne, and D. Patten. 2006. Mapping wetlands and riparian areas using landsat ETM+ imagery and decision-tree-based models. Wetlands 26:465-74.
2. Bhatti, J. S. and C. M. Preston. 2006. Carbon dynamics in forest and peatland ecosystems: preface. Canadian Journal of Soil Science 86:155-58.
3. Boerner, R. E. J., S. J. Morris, E. K. Sutherland, and T. F. Hutchinson. 2000. Spatial variability in soil nitrogen dynamics after prescribed burning in Ohio mixed-oak forests. Landscape Ecology 15:425-39.
4. Christensen, N. L., A. M. Bartuska, J. H. Brown, S. Carpenter, C. D'Antonio, R. Francis, J. F. Franklin, J. A. MacMahon, R. F. Noss, D. J. Parsons, C. H. Peterson, M. G. Turner, and R. G. Woodmansee. 1996. The report of the Ecological Society of America committee on the scientific basis for ecosystem management. Ecological Applications 6:665-91.
5. Detenbeck, N. E., S. M. Galatowitch, J. Atkinson, and H. Ball. 1999. Evaluating perturbations and developing restoration strategies for inland wetlands in the Great Lakes Basin. Wetlands 19:789-820.
6. DNR. 2006. New Brunswick wetland classification for 2003-2012 photo cycle. Department of Natural Resources New Brunswick, Fredericton, NB, Canada.
7. Findlay, C. S. and J. Bourdages. 2000. Response time of wetland biodiversity to road construction on adjacent lands. Conservation Biology 14:86-94.
8. Gomes Pereira, L. M. and R. J. Wicherson. 1999. Suitability of laser data for deriving geographical information: a case study in the context of management of fluvial zones. ISPRS Journal of Photogrammetry and Remote Sensing 54:105-14.
9. Grunwald, S. 2006. What do we really know about the space-time continuum of soil-landscapes? p. 3-36. In S. Grunwald (ed.) Environmental Soil-landscape Modeling: Geographic Information Technologies and Pedometrics. CRC Press, New York, NY, USA.
10. Güritner, A., J. Seibert, and S. Ublenbrook. 2004. Modeling spatial patterns of saturated areas: an evaluation of different terrain indices. Water Resources Research 40:1-19.
11. Haag, D. and M. Kaupenjohann. 2001. Landscape fate of nitrate fluxes and emissions in Central Europe: a critical review of concepts, data, and models for transport and retention. Agriculture, Ecosystems and Environment 86:1-21.
12. Hornberger, G. M. and E. W. Boyer. 1995. Recent advances in watershed modelling. Review of Geophysics 33:949-57.
13. Iverson, L. R., M. E. Dale, C. T. Scott, and A. Prasad. 1997. A GIS-derived integrated moisture index to predict forest composition and productivity of Ohio forests (U.S.A.). Landscape Hydrology 12:331-48.
14. Iverson, L. R., A. M. Prasad, and J. Rebbeck. 2004. A comparison of the integrated moisture index and the topographic wetness index as related to two years of soil moisture monitoring in Zaleski State Forest, Ohio. 14th Central Hardwoods Forest Conference. Wooster, OH, USA.
15. Johnston, C. A. and P. Meysembourg. 2002. Comparison of the Wisconsin and National Wetlands Inventories. Wetlands 22:386-405.
16. Kent, B. J. and J. N. Mast. 2005. Wetland change analysis of San Dieguito Lagoon, California, USA: 1928-1994. Wetlands 25:780-87.
17. Li, J. and W. Chen. 2005. A rule-based method for mapping Canada's wetlands using optical, radar and DEM data. International Journal of Remote Sensing 26:5051-69.
18. Lunetta, R. S. and M. E. Balogh. 1999. Application of multi-temporal landsat 5 TM imagery for wetland identification. Photogrammetric Engineering and Remote Sensing 65:1303-10.
19. Mitsch, W. J. and J. G. Gosselink. 2000. Wetlands, third edition. John Wiley & Sons, Inc., New York, NY, USA.
20. Moore, I. D., R. B. Grayson, and A. R. Ladson. 1991. Digital terrain modelling: a review of hydrological, geomorphological, and biological applications. Hydrological Processes 5:3-30.
21. Murphy, P, N. C., J. Ogilvie, M. Castonguay, T. Connors, F.-R. Meng, and P. A. Arp. 2006. DEM-derived flow channel and wet area mapping: a new tool for forest operations planning. Sustainable Forest Management Network, Fourth International Conference. Edmonton, AB, Canada.
22. NWWG. 1997. The Canadian Wetland Classification System. National Wetlands Working Group, Wetlands Research Centre, University of Waterloo, Waterloo, ON, Canada.
23. Olivera, F. 1996. Spatial hydrology of the Urubamba river system in Peru using geographic information systems (GIS). Center for Research in Water Resources, The University of Texas at Austin, TX, USA. (www.ce.utexas.edu/prof/maidment/CE397/urubamba/peru.htm).
24. Paine, J. G., W. A. White, R. C. Smyth, J. R. Andrews, and J. C. Gibeaut. 2004. Mapping coastal environments with lidar and EM on Mustang Island, Texas, U.S. Leading Edge 23:894-98.
25. Parmuchi, M. G., H. Karszenbaum, and P. Kandus. 2002. Mapping wetlands using multi-temporal RADARSAT-1 data and a decision-based classifier. Canadian Journal of Remote Sensing 28:175-86.
26. Pegler, K. H., D. J. Coleman, and H. T. T. Nguyen. 2000. Comparing TIN random densification with the mean profile filter to minimize the ridging phenomenon in Service New Brunswick digital terrain models. Geomatica 54:433-40.
27. Ryan, P. J., N. J. McKenzie, D. O'Connell, A. N. Loughhead, P. M. Leppert, D. Jacquier, and L. Ashton. 2000. Integrating forest soils information across scales: spatial prediction of soil properties under Australian forests. Forest Ecology and Management 138:139-57.
28. Saunders, W. K. and D. R. Maidment. 1996. A GIS assessment of nonpoint source pollution in the San Antonio-Nueces coastal basin. Center for Research in Water Resources, The University of Texas at Austin, TX, USA. (http://www.ce.utexas.edu/centers/crwr/reports/online.html).
29. Simley, J. 2004. The geodatabase conversion. USGS National Hydrography Newsletter 3(4). USGS.
30. Toeyrae, J., A. Pietroniro, L. W. Martz, and T. D. Prowse. 2002. A multi-sensor approach to wetland flood monitoring. Hydrological Processes 16:1569-81.
31. Tomer, M. D., D. E. James, and T. M. Isenhart. 2003. Optimizing the placement of riparian practices in a watershed using terrain analysis. Journal of Soil and Water Conservation 58:198-206.
32. Turner, R. K., J. C. J. M. van den Bergh, T. Soderqvist, A. Barendregt, J. van der Straaten, E. Maltby, and E. C. van Ierland. 2000. Ecological-economic analysis of wetlands: scientific integration for management and policy. Ecological Economics 35:7-23.
33. U.S.F.W.S. 2007. National Wetlands Inventory Metadata. United States Fish and Wildlife Service. (http://www.fws.gov/nwi/downloads/metadata/ nwi_meta.txt).
34. Watson, D. F. and G. M. Philip. 1995. A refinement of inverse distance weighted interpolation. Geoprocessing 2:315-27.
35. Wehr, A. and U. Lohr. 1999. Airborne laser scanning- an introduction and overview. ISPRS Journal of Photogrammetry and Remote Sensing 54:68-82.