Crustacean habitat potential mapping in a tidal flat using remote sensing and GIS

Ecological Modelling

Volumn 222, Issue 8, 2011, Pages 1522-1533

  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

Frequency ratio (FR); Geographic information system (GIS); Hwangdo tidal flat; Logistic regression (LR); Macrofauna habitat mapping; Remote sensing

Indexed keywords

FREQUENCY RATIOS; GEOGRAPHIC INFORMATION; HWANGDO TIDAL FLAT; LOGISTIC REGRESSION (LR); MACROFAUNA;

ANOXIC SEDIMENTS; ECOSYSTEMS; GEOGRAPHIC INFORMATION SYSTEMS; INFORMATION SYSTEMS; INFRARED DEVICES; MAPPING; REGRESSION ANALYSIS; REMOTE SENSING; SURVEYING; TIDES; WETLANDS;

POPULATION DISTRIBUTION;

ABUNDANCE; BIOMASS; CRUSTACEAN; DATA SET; DATABASE; DIGITAL ELEVATION MODEL; FIELDWORK; GIS; HABITAT STRUCTURE; MAPPING METHOD; MODEL TEST; NEAR INFRARED; PIXEL; REGRESSION ANALYSIS; REMOTE SENSING; SENSOR; SPATIAL DISTRIBUTION; SPATIAL VARIATION; SPECIES OCCURRENCE; TIDAL FLAT;

KOREA;

CRUSTACEA; ILYOPLAX DENTIMEROSA;

EID: 79953028239     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2010.12.008     Document Type: Article

References (67)

1. Bandelj V., Curiel D., Lek S., Rismondo A., Solidoro C. Modelling spatial distribution of hard bottom benthic communities and their functional response to environmental parameters. Ecol. Model. 2009, 220:2838-2850.
2. Bartholdy J., Folving S. Sediment classification and surface type mapping in the Danish Wadden sea by remote-sensing. Neth. J. Sea Res. 1986, 20:337-345.
3. Blaschke T., Strobl J. What's wrong with pixels? Some recent development interfacing remote sensing and GIS. Proceedings of GIS-Zeitschrift fur Geoinformationsysteme 2001, 12-17. 6.
4. Bonham-Carter G.F. Geographic Information Systems for Geoscientists: Modeling with GIS 1994, Pergamon, Oxford, UK, p. 398.
5. Brotons L., Thuiller W., Araújo M.B., Hirzel A.H. Presence-absence versus presence-only modelling methods for predicting bird habitat suitability. Ecography 2004, 27:437-448.
6. Chen L.C., Rau J.Y. Detection of shoreline changes for tideland areas using multi-temporal satellite images. Int. J. Remote Sens. 1998, 19:3383-3397.
7. 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. Environ. Earth Sci. 2010, 59:1009-1022.
8. 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. Estuar. Coast. Shelf Sci. 2010, 88:125-134.
9. Dedecker A.P., Goethals P.L.M., Gabriels W., De Pauw N. Optimization of Artificial Neural Network (ANN) model design for prediction of macroinvertebrates in the Zwalm river basin (Flanders, Belgium). Ecol. Model. 2004, 174:161-173.
10. Definiens Imaging Definiens Imaging, Definiens Developer 7.0 User Guide 2008, Definiens Imaging, München, GB, Version number 7.0.5.968.
11. Doerffer R., Murphy D. Factor analysis and classification of remotely sensed data for monitoring tidal flats. Helgolander Meeresuntersuchungen 1989, 43:275-293.
12. Fielding A.H., Bell J.F. A review of methods for the assessment of prediction errors in conservation presence/absence models. Environ. Conserv. 1997, 24:38-49.
13. Flanders D., Hall-Beyer M., Pereverzoff J. Preliminary evaluation of eCognition object-based software for cut block delineation and feature extraction. Can. J. Remote Sens. 2003, 29:441-452.
14. Folk R.L. A review of grain size parameters. Sedimentology 1968, 6:73-93.
15. 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. Ecol. Model. 2010, 221:540-554.
16. Gade M., Alpers W., Melsheimer C., Tanck G. Classification of sediments on exposed tidal flats in the German Bight using mufti-frequency radar data. Remote Sens. Environ. 2008, 112:1603-1613.
17. 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. Ecol. Model. 2009, 220:556-567.
18. Guisan A., Thuiller W. Predicting species distribution: offering more than simple habitat models. Ecol. Lett. 2005, 8:993-1009.
19. Harris C., Hong X., Gan Q. Adaptive Modelling, Estimation, and Fusion from Data: a Neurofuzzy Approach 2002, Springer, New York, USA, p. 323.
20. Hatten J.R., Parsley M.J. A spatial model of white sturgeon rearing habitat in the lower Columbia River, USA. Ecol. Model. 2009, 220:3638-3646.
21. Herman P.M.J., Middelburg J.J., Heip C.H.R. Benthic community structure and sediment processes on an intertidal flat: results from the ECOFLAT project. Cont. Shelf Res. 2001, 21:2055-2071.
22. Hirzel A.H., Hausser J., Chessel D., Perrin N. Ecological-Niche factor analysis: How to compute habitat-suitability maps without absence data?. Ecology 2002, 83:2027-2036.
23. 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 Remote Sensing Symposium 2000, 1889-1891. IEEE, Hawaii, USA.
24. 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.
25. Kim K.D., Lee S., Oh H.J., Choi J.K., Won J.S. Assessment of ground subsidence hazard near an abandoned underground coal mine using GIS. Environ. Geol. 2006, 50:1183-1191.
26. Kim Y.S., Kim J.N. Biogenic sedimentary structures of crustaceans at the intertidal flat of Whang Island, Cheonsu Bay. J. Korean Earth Sci. Soc. 1996, 17:357-364.
27. 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. Ecol. Model. 2009, 220:1159-1168.
28. Koh C.H., Shin H.C. Environmental characteristics and distribution of macrobenthos in a mudflat of the west coast of Korea (Yellow Sea). Neth. J. Sea Res. 1988, 22:279-290.
29. 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 Sci. J. 2005, 40:221-227.
30. Koo B.J., Shin S.-H., Woo H.J., Kim E.-S., Je J.G. Changes in macrobenthic community structure on Gunsan tidal flat after the closing of the Saemangeum 4th dyke. Ocean Polar Res. 2008, 30:497-507.
31. Koperski P. Diversity of macrobenthos in lowland streams: ecological determinants and taxonomic specificity. J. Limnol. 2010, 69:88-101.
32. Lee J.H., Park H.S. Community structures of macrobenthos in Chonsu bay, Korea. J. Korean Soc. Oceanogr. 1998, 33:18-27.
33. Lee S., Choi J., Min K. Probabilistic landslide hazard mapping using GIS and remote sensing data at Boun, Korea. Int. J. Remote Sens. 2004, 25:2037-2052.
34. Lee S., Min K. Statistical analysis of landslide susceptibility at Yongin, Korea. Environ. Geol. 2001, 40:1095-1113.
35. Lee S., Sambath T. Landslide susceptibility mapping in the Damrei Romel area, Cambodia using frequency ratio and logistic regression models. Environ. Geol. 2006, 50:847-855.
36. Lek S., Delacoste M., Baran P., Dimopoulos I., Lauga J., Aulagnier S. Application of neural networks to modelling nonlinear relationships in ecology. Ecol. Model. 1996, 90:39-52.
37. Mason D.C., Hill D., Davenport I., Flather R., Robinson G. Improving inter-tidal digital elevation models constructed by the waterline technique. Proceedings of the 3rd ERS Symposium 1997, 1079-1082.
38. Mason D.C., Scott T.R., Wang H.J. Extraction of tidal channel networks from airborne scanning laser altimetry. Photogramm. Eng. Remote Sens. 2006, 61:67-83.
39. Meixler M.S., Bain M.B., Walter M.T. Predicting barrier passage and habitat suitability for migratory fish species. Ecol. Model. 2009, 220:2782-2791.
40. Merckx B., Goethals P., Steyaert M., Vanreusel A., Vincx M., Vanaverbeke J. Predictability of marine nematode biodiversity. Ecol. Model. 2009, 220:1449-1458.
41. Miller J., Rogan J. Using GIS and remote sensing for ecological modeling and monitoring. Integration of GIS and Remote Sensing. 2007, 17-59. Wiley, Chichester. V. Messev (Ed.).
42. Mouton A.M., De Baets B., Goethals P.L.M. Ecological relevance of performance criteria for species distribution models. Ecol. Model. 2010, 221:1995-2002.
43. Mouton A.M., De Baets B., van Broekhoven E., Goethals P.L.M. Prevalence-adjusted optimisation of fuzzy models for species distribution. Ecol. Model. 2009, 220:1776-1786.
44. Oh H.-J., Lee S., Chotikasathien W., Kim C., Kwon J. Predictive landslide susceptibility mapping using spatial information in the Pechabun area of Thailand. Environ. Geol. 2009, 641-651.
45. 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. Ecol. Model. 2009, 220:111-121.
46. Pinheiro A.C., Tucker C.J., Entekhabi D., Privette J.L., Berry J.A. Assessing the relationship between temperature and soil moisture in southern Africa. Remote Sensing and Hydrology 2000 Symp 2001, 1-6. Vol. 267.
47. 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. Restor. Ecol. 2009, 17:404-413.
48. 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. Int. J. Remote Sens. 2000, 21:3025-3038.
49. Rainey M.P., Tyler A.N., Gilvear D.J., Bryant R.G., McDonald P. Mapping intertidal estuarine sediment grain size distributions through airborne remote sensing. Remote Sens. Environ. 2003, 86:480-490.
50. Rossi F., Como S., Corti S., Lardicci C. Seasonal variation of a deposit-feeder assemblage and sedimentary organic matter in a brackish basin mudflat (western Mediterranean, Italy). Estuar. Coast. Shelf Sci. 2001, 53:181-191.
51. 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. Estuar. Coast. Shelf Sci. 2008, 78:623-632.
52. 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. Estuar. Coast. Shelf Sci. 2004, 60:491-502.
53. 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 Sens. Environ. 2002, 83:442-456.
54. So J.G., Jeong G.T., Chae J.W. Numerical modeling of changes in tides and tidal currents caused by embankment at Chonsu Bay. J. Korean Soc., Coast. Ocean Eng. 1998, 10:151-164.
55. Sorensen T.H., Bartholdy J., Christiansen C., Pedersen J.B.T. Intertidal surface type mapping in the Danish Wadden Sea. Mar. Geol. 2006, 235:87-99.
56. Swinbanks D.D., Murray J.W. Biosedimentological zonation of Boundary Bay tidal flats, Fraser river Delta, British Columbia. Sedimentolgy 1981, 28:201-237.
57. van Broekhoven E., Adriaenssens V., De Baets B., Verdonschot P.F.M. Fuzzy rule-based macroinvertebrate habitat suitability models for running waters. Ecol. Model. 2006, 198:71-84.
58. 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. Mar. Ecol. Prog. Ser. 2008, 367:57-72.
59. Walker B.K., Jordan L.K.B., Spieler R.E. Relationship of reef fish assemblages and topographic complexity on southeastern Florida coral reef habitats. J. Coastal Res. 2009, 25:39-48.
60. Walsh S.J., McCleary A.L., Mena C.F., Shao Y., Tuttle J.P., Gonzalez A., Atkinson R. QuickBird and Hyperion data analysis of an invasive plant species in the Galapagos Islands of Ecuador: implications for control and land use management. Remote Sens. Environ. 2008, 112:1927-1941.
61. Walters D.M., Roy A.H., Leigh D.S. Environmental indicators of macroinvertebrate and fish assemblage integrity in urbanizing watersheds. Ecol. Indic. 2009, 9:1222-1233.
62. Woo H.J., Je J.G. Changes of sedimentary environments in the southern tidal flat of Kanghwa island. Ocean Polar Res. 2002, 24:331-343.
63. Xu L., Chow M.-Y., Gao X.Z. Comparisons of logistic regression and artificial neural network on power distribution systems fault cause identification. Proceedings of IEEE Mid-Summer Workshop Soft Computing in Industrial Applications 2005, 128-131.
64. Yap C.K., Rahim Ismail A., Ismail A., Tan S.G. Species diversity of macrobenthic invertebrates in the Semenyih river, Selangor, Peninsular Malaysia. Pertanika J. Trop. Agric. Sci. 2003, 26:139-146.
65. Yoo J.W., Hwang I.S., Hong J.S. Inference models for tidal flat elevation and sediment grain size: a preliminary approach on tidal flat macrobenthic community. Ocean Sci. J. 2007, 42:69-79.
66. Ysebaert T., Meire P., Coosen J., Essink K. Zonation of intertidal macrobenthos in the estuaries of Schelde and Ems. Aquat. Ecol. 1998, 32:53-71.
67. Zomer R.J., Trabucco A., Ustin S.L. Building spectral libraries for wetlands land cover classification and hyperspectral remote sensing. J. Environ. Manage. 2009, 90:2170-2177.