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

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  • Choi, Jong-Kuk
  • Oh, Hyun-Joo
  • Koo, Bon Joo
  • Ryu, Joo-Hyung
  • Lee, Saro

Abstract

To make a macrofaunal (crustacean) habitat potential map, the spatial distribution of ecological variables in the Hwangdo tidal flat, Korea, was explored. Spatial variables were mapped using remote sensing and a geographic information system (GIS) combined with field observations. A frequency ratio (FR) and logistic regression (LR) model were employed to map the macrofauna potential area for the Ilyoplax dentimerosa, a crustacean species. Spatial variables affecting the tidal macrofauna distribution were selected based on abundance and biomass and used within a spatial database derived from remotely sensed data of various types of sensors. The spatial variables included the intertidal digital elevation model (DEM), slope, distance from a tidal channel, tidal channel density, surface sediment facies, spectral reflectance of the near infrared (NIR) bands and the tidal exposure duration. The relation between the I. dentimerosa and each spatial variable was calculated using the FR and LR. The species was randomly divided into a training set (70%) to analyse habitat potential using FR and LR and a test set (30%) to validate the predicted habitat potential map. The relations were overlaid to produce a habitat potential map with the species potential index (SPI) value for each pixel. The potential habitat maps were compared with the surveyed habitat locations such as validation data set. The comparison results showed that the LR model (accuracy is 85.28%) is better in prediction than the FR (accuracy is 78.96%) model. The performance of models gave satisfactory accuracies. The LR provides the quantitative influence of variables on a potential habitat of species; otherwise, the FR shows the quantitative influence of a class in each variable. The combination of a GIS-based frequency ratio and logistic regression models and remote sensing with field observations is an effective method to determine locations favorable for macrofaunal species occurrences in a tidal flat.

Suggested Citation

  • Choi, Jong-Kuk & Oh, Hyun-Joo & Koo, Bon Joo & Ryu, Joo-Hyung & Lee, Saro, 2011. "Crustacean habitat potential mapping in a tidal flat using remote sensing and GIS," Ecological Modelling, Elsevier, vol. 222(8), pages 1522-1533.
    • Handle: RePEc:eee:ecomod:v:222:y:2011:i:8:p:1522-1533
    DOI: 10.1016/j.ecolmodel.2010.12.008
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    1. Mouton, Ans M. & De Baets, Bernard & Van Broekhoven, Ester & Goethals, Peter L.M., 2009. "Prevalence-adjusted optimisation of fuzzy models for species distribution," Ecological Modelling, Elsevier, vol. 220(15), pages 1776-1786.
    2. Bandelj, Vinko & Curiel, Daniele & Lek, Sovan & Rismondo, Andrea & Solidoro, Cosimo, 2009. "Modelling spatial distribution of hard bottom benthic communities and their functional response to environmental parameters," Ecological Modelling, Elsevier, vol. 220(21), pages 2838-2850.
    3. Galparsoro, Ibon & Borja, Ángel & Bald, Juan & Liria, Pedro & Chust, Guillem, 2009. "Predicting suitable habitat for the European lobster (Homarus gammarus), on the Basque continental shelf (Bay of Biscay), using Ecological-Niche Factor Analysis," Ecological Modelling, Elsevier, vol. 220(4), pages 556-567.
    4. Ottaviani, D. & Panzacchi, M. & Jona Lasinio, G. & Genovesi, P. & Boitani, L., 2009. "Modelling semi-aquatic vertebrates’ distribution at the drainage basin scale: The case of the otter Lutra lutra in Italy," Ecological Modelling, Elsevier, vol. 220(2), pages 111-121.
    5. Meixler, Marcia S. & Bain, Mark B. & Todd Walter, M., 2009. "Predicting barrier passage and habitat suitability for migratory fish species," Ecological Modelling, Elsevier, vol. 220(20), pages 2782-2791.
    6. Merckx, Bea & Goethals, Peter & Steyaert, Maaike & Vanreusel, Ann & Vincx, Magda & Vanaverbeke, Jan, 2009. "Predictability of marine nematode biodiversity," Ecological Modelling, Elsevier, vol. 220(11), pages 1449-1458.
    7. Hatten, James R. & Parsley, Michael J., 2009. "A spatial model of white sturgeon rearing habitat in the lower Columbia River, USA," Ecological Modelling, Elsevier, vol. 220(24), pages 3638-3646.
    8. Mouton, Ans M. & De Baets, Bernard & Goethals, Peter L.M., 2010. "Ecological relevance of performance criteria for species distribution models," Ecological Modelling, Elsevier, vol. 221(16), pages 1995-2002.
    9. Fulton, John W. & Wagner, Chad R. & Rogers, Megan E. & Zimmerman, Gregory F., 2010. "Hydraulic modeling of mussel habitat at a bridge-replacement site, Allegheny River, Pennsylvania, USA," Ecological Modelling, Elsevier, vol. 221(3), pages 540-554.
    10. Kocev, Dragi & Džeroski, Sašo & White, Matt D. & Newell, Graeme R. & Griffioen, Peter, 2009. "Using single- and multi-target regression trees and ensembles to model a compound index of vegetation condition," Ecological Modelling, Elsevier, vol. 220(8), pages 1159-1168.
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