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

Cited 15 time in WEB OF SCIENCE Cited 17 time in Scopus
Title
Crustacean habitat potential mapping in a tidal flat using remote sensing and GIS
Author(s)
Choi, Jong-Kuk; Oh, Hyun-Joo; Koo, Bon Joo; Ryu, Joo-Hyung; Lee, Saro
KIOST Author(s)
Choi, Jong Kuk(최종국)Koo, Bon Joo(구본주)Ryu, Joo Hyung(유주형)
Publication Year
2011-04-24
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. (C) 2010 Elsevier B.V. All rights reserved.
ISSN
0304-3800
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/3872
DOI
10.1016/j.ecolmodel.2010.12.008
Bibliographic Citation
ECOLOGICAL MODELLING, v.222, no.8, pp.1522 - 1533, 2011
Publisher
ELSEVIER SCIENCE BV
Subject
NICHE FACTOR-ANALYSIS; DANISH WADDEN SEA; SPECIES DISTRIBUTION; LANDSLIDE SUSCEPTIBILITY; INTERTIDAL SEDIMENTS; GERMAN BIGHT; GRAIN-SIZE; MODELS; CLASSIFICATION; KOREA
Keywords
Macrofauna habitat mapping; Hwangdo tidal flat; Frequency ratio (FR); Logistic regression (LR); Geographic information system (GIS); Remote sensing
Type
Article
Language
English
Document Type
Article
Publisher
ELSEVIER SCIENCE BV
Related Researcher
Research Interests

Coastal Remote Sensing,RS based Marine Surveillance System,GOCI Series Operation,연안 원격탐사,원격탐사기반 해양감시,천리안해양관측위성 운영

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