Abstract
Validation of benthic habitat maps produced from remote sensing imagery is quite time consuming and expensive. Validating maps of seagrass biomass is even more sophisticated and time consuming as the seagrass has to be collected, dried and weighed in the laboratory. We developed a method for estimating the dry weight of the seagrass based on photo transect data and a photo library of quadrats with known seagrass biomass. For seagrass biomass estimation we selected 13 different bottom classes. A photo of each 25 × 25 cm quadrat was taken prior to collecting the samples for each class. Seagrass (and macroalgae, if present) dry weight for each class was measured in the laboratory. These photos were then used to estimate seagrass biomass in 100 m long geolocated photo transects. Seagrass dry weight estimated from the photo transects using the photo-library method was compared with QuickBird satellite radiances. Preliminary results show that QuickBird imagery may be used for map** seagrass biomass even in highly variable environment such as the Ngederrak Reef in Palau.
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References
Boer, W.F. (2000). Biomass dynamics of seagrasses and the role of mangrove and seagrass vegetation as different nutrient sources for an intertidal ecosystem. Aquatic Botany 66: 225–239.
Catchpole, W.R., Wheeler, C. J. (1992). Estimating plant biomass: a review of techniques. Australian J Ecol 17: 121–131.
Dierssen, H.M., Zimmerman, R.C., Leathers, R.A., Downes, T.V., Davis, C.O. (2003). Ocean color sensing of seagrass and bathymetry in the Bahamas Banks by high-resolution airborne imagery. Limnol. Oceanogr 48: 444–455
Downing, J.A., Anderson, M.R. (1985). Estimating the standing biomass of aquatic macrophytes. Canadian J Fish and Aquat Sci 42: 1860–1869
Duarte, C.M., Kirkman, H. (2002). Methods for the measurement of seagrass abundance and depth distribution. In: Short FT, Coles RG (eds.) Global Seagrass Research Methods. Elsevier Science B.V., Amsterdam.
Hossain, M.K. (2005). An examination of seagrass monitoring protocols as applied to two New South Wales estuarine settings. MSc Thesis. Australian Catholic University.
Krause-Jensen, D., Quaresma, A.L., Cunha, A.H., Greve, T.M. (2004). How are seagrass distribution and abundance monitored? In: Borum J, Duarte CM, Krause-Jensen D, Greve TM (eds.) European seagrasses: an introduction to monitoring and management. The M&MS Project, European Union.
Lin, H., Shao, K. (1998). Temporal changes in the abundance and growth of intertidal Thalassia hemprichii seagrass beds in southern Taiwan. Botanical Bulletin of Academia Sinica 39: 191–198
Lyzenga, D.R. (1978). Passive remote sensing techniques for map** water depth and bottom features. Applied Optics 17: 379–383
Mellors, J.E. (1991). An evaluation of a rapid visual technique for estimating seagrass biomass. Aquat. Bot 42: 67–73
McKenzie, L., Finkbeiner, J.M.A., Kirkman, H. (2001). Seagrass Map** Methods. In: F.T. Short and R.G. Coles (eds.) Global Seagrass Research Methods. Amsterdam, Elsevier, pp. 101–122.
Mumby, P.J., Edwards, A.J., Green, E.P., Anderson, C.W., Ellis, A.C., Clark, C.D. (1997). A visual assessment technique for estimating seagrass standing crop. Aquatic Conservation: Marine and Freshwater Ecosystems 7: 239–251
Phillips, R.C., Milchakova, N.A., Alexandrov, V.V. (2006). Growth dynamics of Zostera in Sevastopol Bay (Crimea, Black Sea). Aquatic Botany 85: 244–248
Roelfsema, C., Phinn, S., Joyce, K. (2006). Benthic validation photo transect method. University of Queensland, Brisbane. http://www.gpa.uq.edu.au/CRSSIS/publications/GPS_Photo_Transects_for_Benthic_Cover_Manual.pdf
Short, F.T., Coles, R.G. (2001). Global Seagrass Research Methods. Amsterdam, Elsevier.
Tolan, J.M., Holt, S.A., Onuf, C.P. (1997). Distribution and community structure of ichthyoplankton in Laguna Madre seagrass meadows: potential impact of seagrass species change. Estuaries, 20: 450–464
Waycott, M., Longstaff, B.J., Mellors, J. (2005). Seagrass population dynamics and water quality in the Great Barrier Reef region: A review and future research directions. Marine Pollution Bulletin 51: 343–350
Acknowledgements
The research for this paper was possible through funding through World Bank GEF Coral Reefs Project, Coral Remote Sensing and the field support of the Palau International Coral Reef Center and Dr. Karen Brady. Tiit Kutser's and Ele Vahtmäe's participation in the fieldwork was funded by the Estonian Science Foundation grant 6051 and Estonian Basic Research grant 0712699s05.
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Kutser, T., Vahtmäe, E., Roelfsema, C., Metsamaa, L. (2009). Map** Seagrass Biomass with Photo-Library Method. In: Jones, S., Reinke, K. (eds) Innovations in Remote Sensing and Photogrammetry. Lecture Notes in Geoinformation and Cartography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-93962-7_31
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DOI: https://doi.org/10.1007/978-3-540-93962-7_31
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