Prediction of macrozoobenthic species distribution in the Korean Saemangeum tidal flat based on a logistic regression model of environmental parameters |
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Authors: | Jongseong Ryu Hae-Cheol Kim Jong Seong Khim Yong Hoon Kim Jinsoon Park Daeseok Kang Jin Hwan Hwang Chang-Hee Lee Chul-Hwan Koh |
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Institution: | (1) Office of Policy Research, Korea Ocean Research and Development Institute (KORDI), PO Box 29, Ansan, 425-600, Republic of Korea;(2) I. M. Systems Group at Environmental Modeling Center, National Centers for Environmental Prediction, NOAA, Camp Springs, MD 20746, USA;(3) Division of Environmental Science and Ecological Engineering, Korea University, Seoul, 136-713, Republic of Korea;(4) Applied Science Associates, South Kingstown, RI 02879, USA;(5) School of Earth and Environmental Sciences, Seoul National University, Seoul, 151-742, Republic of Korea;(6) Department of Ecological Engineering, Pukyong National University, Busan, 608-737, Republic of Korea;(7) Department of Civil and Environmental Engineering, Dongguk University, Seoul, 100-715, Republic of Korea;(8) Department of Environmental Engineering and Biotechnology, Myongji University, Yongin, Gyeonggi-do, 449-728, Republic of Korea; |
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Abstract: | This study aims to contribute to the development of heuristic statistical models, which are able to predict benthic macrofaunal
responses to environmental gradients in coastal areas, such as tidal flats. Ecological response surfaces were derived for
15 intertidal macrobenthic species, using logistic regression based on three separate environmental parameters (shore level,
mud content, and organic content) measured on the tidal flats of the Saemangeum estuary, Korea. The presence/absence of the
15 intertidal macrofauna was accurately predicted from each separate environmental factor in the environmental models, with
a prediction accuracy of ~65–92%. Subsequently, geographical comparison was made between the mapped probability surfaces and
maps of observed species occurrence. The results indicated that the models developed for different species exhibited a wide
variety of functional forms, highlighting potential variability in species response to changes in habitat conditions, even
for closely associated species with a similar trophic type. Our modeling approach was capable of predicting macrobenthic species
distributions with a relatively high degree of accuracy, although the ecological processes controlling intertidal macrobenthic
distribution could not be fully determined. Overall, good agreement between modeling results and field observations, with
relatively high concordance regardless of target species, emphasized that such an approach would be of practical use in terms
of ecosystem approach to tidal flat management. |
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