Spatial polychaeta habitat potential mapping using probabilistic models

Estuarine, Coastal and Shelf Science

Volumn 93, Issue 2, 2011, Pages 98-105

  Choi, Jong Kuk ^a   Oh, Hyun Joo ^b   Koo, Bon Joo ^a   Ryu, Joo Hyung ^a   Lee, Saro ^b  

^a Korea Research Institute of Ships and Ocean Engineering   (South Korea)

^b Korea Institute of Geosceince and Mineral Resources   (South Korea)

Author keywords

Cheonsu bay; Chungcheongnam do; GIS; Habitat mapping; Korea; Polychaeta; Probability theory; Remote sensing; Taean peninsula

Indexed keywords

CONSERVATION PLANNING; DIGITAL ELEVATION MODEL; GIS; HABITAT CONSERVATION; HABITAT TYPE; MACROBENTHOS; MAPPING METHOD; POLYCHAETE; PROBABILITY; REMOTE SENSING; SATELLITE IMAGERY; SPECTRAL REFLECTANCE; TIDAL CHANNEL; TIDAL FLAT;

CHONSU BAY; SOUTH CHUNGCHEONG; SOUTH KOREA;

POLYCHAETA; PRIONOSPIO; PRIONOSPIO JAPONICA;

EID: 79957481727     PISSN: 02727714     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecss.2011.03.006     Document Type: Article

References (40)

1. Beaudrya F., Pidgeona A.M., Radeloffa V.C., Howeb R.W., Mladenoffa D.J., Barteltc G.A. Modeling regional-scale habitat of forest birds when land management guidelines are needed but information is limited. Biological Conservation 2010, 10.1016/j.biocon.2010.04.025.
2. Bonham-carter G.F. Geographic Information Systems for Geoscientists, Modeling with GIS 1994, Oxford, Pergamon, 329 pp.
3. Bonham-carter G.F., Agterberg F.P., Wright D.F. Weights of evidence modeling: a new approach to mapping mineral potential. Geological Survey of Canada 1989, vol. 98:171-183. F.P. Agterberg, G.F. Bonham-Carter (Eds.).
4. Brambilla M., Casale F., Bergero V., Matteo Crovetto G., Falco R., Negri I., Siccardi P., Bogliani G. GIS-models work well, but are not enough: habitat preferences of Lanius collurio at multiple levels and conservation implications. Biological Conservation 2009, 142:2033-2042.
5. Chen L.C., Rau J.Y. Detection of shoreline changes for tideland areas using multi-temporal satellite images. International Journal of Remote Sensing 1998, 19:3383-3397.
6. Choi J.K., Kim K.D., Lee S., Won J.S. Application of a fuzzy operator to susceptibility estimations of coal mine subsidence in Taebaek City, Korea. Environmental Earth Sciences 2010, 59:1009-1022.
7. Choi J.K., Ryu J.H., Lee Y.K., Yoo H.R., Woo H.J., Kim C.H. Quantitative estimation of intertidal sediment characteristics using remote sensing and GIS. Estuarine, Coastal and Shelf Science 2010, 88:125-134.
8. Doerffer R., Murphy D. Factor analysis and classification of remotely sensed data for monitoring tidal flats. Helgolander Meeresuntersuchungen 1989, 43:275-293.
9. Flanders D., Hall-Beyer M., Pereverzoff J. Preliminary evaluation of eCognition object-based software for cut block delineation and feature extraction. Canadian Journal of Remote Sensing 2003, 29:441-452.
10. Folk R.L. A review of grain size parameters. Sedimentology 1968, 6:73-93.
11. Folk R.L. Petrology of Sedimentary Rocks 1980, Hemphill, Austin, 170 pp.
12. Folk R.L., Ward W.C. Brazos river bar: a study in the significance of grain size parameters. Journal of Sedimentary Petrology 1957, 27:3-27.
13. Fulton J.W., Wagner C.R., Rogers M.E., Zimmerman G.F. Hydraulic modeling of mussel habitat at a bridge-replacement site, Allegheny river, Pennsylvania, USA. Ecological Modelling 2010, 221:540-554.
14. Galparsoro I., Borja A., Bald J., Liria P., Chust G. Predicting suitable habitat for the European lobster (Homarus gammarus), on the Basque continental shelf (Bay of Biscay), using ecological-Niche factor analysis. Ecological Modelling 2009, 220:556-567.
15. Hatten J.R., Parsley M.J. A spatial model of white sturgeon rearing habitat in the lower Columbia River, USA. Ecological Modelling 2009, 220:3638-3646.
16. Hoja D., Lehner S., Niedermeier A., Romaneessen E. DEM generation from ERS SAR shorelines compared to airborne crosstrack InSAR DEMs in the German Bight. Proceedings of the International Geoscience and Remote Sensing Symposium 2000, 1889-1891. IEEE, Hawaii, USA.
17. Jorgensen R.H., Kollmann J. Invasion of coastal dunes by the alien shrub Rosa rugosa is associated with roads, tracks and houses. Flora 2009, 204:289-297.
18. Kim Y.S., Kim J.N. Biogenic sedimentary structures of crustaceans at the intertidal flat of Whang Island, Cheonsu bay. Journal of the Korean Earth Science Society 1996, 17:357-364. (in Korean).
19. Kleinbauer I., Dullinger S., Peterseil J., Essl F. Climate change might drive the invasive tree Robinia pseudacacia into nature reserves and endangered habitats. Biological Conservation 2010, 143:382-390.
20. Kocev D., Dzeroski S., White M.D., Newell G.R., Griffioen P. Using single- and multi-target regression trees and ensembles to model a compound index of vegetation condition. Ecological Modelling 2009, 220:1159-1168.
21. Koo B.J., Kwon K.K., Hyun J.H. The sediment-water interface increment due to the complex burrows of macrofauna in a tidal flat. Ocean Science Journal 2005, 40:221-227.
22. Lee J.H., Park H.S. Community structures of macrobenthos in Cheonsu bay, Korea. Journal of Korean Society of Oceanography 1998, 33:18-27.
23. Lee S., Choi J., Min K. Probabilistic landslide hazard mapping using GIS and remote sensing data at Boun, Korea. International Journal of Remote Sensing 2004, 25:2037-2052.
24. Lee S., Min K. Statistical analysis of landslide susceptibility at Yongin, Korea. Environmental Geology 2001, 40:1095-1113.
25. Mason, D.C., Hill, D., Davenport, I., Flather, R., Robinson, G., 1997. Improving inter-tidal digital elevation models constructed by the waterline technique. In: Proceedings of the 3rd ERS Symposium, Florence, Italy, pp. 1079-1082.
26. Mason D.C., Scott T.R., Wang H.J. Extraction of tidal channel networks from airborne scanning laser altimetry. Photogrammetry Remote Sensing 2006, 61:67-83.
27. Meixler M.S., Bain M.B., Walter M.T. Predicting barrier passage and habitat suitability for migratory fish species. Ecological Modelling 2009, 220:2782-2791.
28. Ottaviani D., Panzacchi M., Lasinio G.J., Genovesi P., Boitani L. Modelling semi-aquatic vertebrates' distribution at the drainage basin scale: the case of the otter Lutra lutra in Italy. Ecological Modelling 2009, 220:111-121.
29. Poplar-Jeffers I.O., Petty J.T., Anderson J.T., Kite S.J., Strager M.P., Fortney R.H. Culvert replacement and stream habitat restoration: implications from Brook Trout management in an Appalachian Watershed, USA. Restoration Ecology 2009, 17:404-413.
30. Rainey M.P., Tyler A.N., Bryant R.G., Gilvear D.J., McDonald P. The influence of surface and interstitial moisture on the spectral characteristics of intertidal sediments: implications for airborne image acquisition and processing. International Journal of Remote Sensing 2000, 21:3025-3038.
31. Ryu J.H., Kim C.H., Lee Y.K., Won J.S., Chun S.S., Lee S. Detecting the intertidal morphologic change using satellite data. Estuarine, Coastal and Shelf Science 2008, 78:623-632.
32. Ryu J.H., Na Y.H., Won J.S., Doerffer R. A critical grain size for Landsat ETM+ investigations into intertidal sediments: a case study of the Gomso tidal flats, Korea. Estuarine, Coastal and Shelf Science 2004, 60:491-502.
33. Ryu J.H., Won J.S., Min K.D. Waterline extraction from Landsat TM data in a tidal flat - a case study in Gomso bay, Korea. Remote Sensing Environment 2002, 83:442-456.
34. So J.G., Jeong G.T., Chae J.W. Numerical modeling of changes in tides and tidal currents caused by embankment at Chonsu bay. Journal of Korean Society of Coastal and Ocean Engineers 1998, 10:151-164. (in Korean).
35. van der Wal D., Herman P.M.J., Forster R.M., Ysebaert T., Rossi F., Knaeps E., Plancke Y.M.G., Ides S.J. Distribution and dynamics of intertidal macrobenthos predicted from remote sensing: response to microphytobenthos and environment. Marine Ecology Progress Series 2008, 367:57-72.
36. Wakamiya S.M., Roya C.L. Use of monitoring data and population viability analysis to inform reintroduction decisions: Peregrine falcons in the Midwestern United States. Biological Conservation 2009, 142:1767-1776.
37. Walker B.K., Jordan L.K.B., Spieler R.E. Relationship of reef fish assemblages and topographic complexity on southeastern Florida coral reef habitats. Journal of Coastal Research 2009, 25:39-48.
38. Walters D.M., Roy A.H., Leigh D.S. Environmental indicators of macroinvertebrate and fish assemblage integrity in urbanizing watersheds. Ecological Indicators 2009, 9:1222-1233.
39. Xu, L., Chow, M.-Y., Gao, X.Z., 2005. Comparisons of logistic regression and artificial neural network on power distribution systems fault cause identification. In: Proceedings of IEEE Mid-Summer Workshop Soft Computing in Industrial Applications, Espoo, Finland, pp. 128-131.
40. Yap C.K., Rahim Ismail A., Ismail A., Tan S.G. Species diversity of macrobenthic invertebrates in the Semenyih river, Selangor, Peninsular Malaysia. Pertanika Journal of Tropical Agricultural Science 2003, 26:139-146.