The potential habitats of two submerged macrophytes, Myriophyllum spicatum and Hydrilla verticillata in the river ecosystems, South Korea

We examined the environmental factors that characterize the habitats of two submerged macrophytes, Myriophyllum spicatum and Hydrilla verticillata, in South Korea using generalized additive models (GAMs). We performed a vegetation survey and measured water depth and water velocity from May to Septem...

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Main Authors: Son Deokjoo, Cho Kang-Hyun, Lee Eun Ju
Format: Article
Language:English
Published: EDP Sciences 2017-01-01
Series:Knowledge and Management of Aquatic Ecosystems
Subjects:
Online Access:https://doi.org/10.1051/kmae/2017044
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spelling doaj-786a545a0c6f439abf9ca772818cc1bf2020-11-24T23:35:53ZengEDP SciencesKnowledge and Management of Aquatic Ecosystems1961-95022017-01-0104185810.1051/kmae/2017044kmae170105The potential habitats of two submerged macrophytes, Myriophyllum spicatum and Hydrilla verticillata in the river ecosystems, South KoreaSon DeokjooCho Kang-HyunLee Eun JuWe examined the environmental factors that characterize the habitats of two submerged macrophytes, Myriophyllum spicatum and Hydrilla verticillata, in South Korea using generalized additive models (GAMs). We performed a vegetation survey and measured water depth and water velocity from May to September, 2014–2015. Averaged water quality data from the Ministry of Environment's national water quality measurement network from January 2012 to October 2015 were used for modeling. Potential habitats of M. spicatum were linked with chlorophyll a, nitrate nitrogen, suspended solids, water temperature, water depth, and water velocity (deviance explained = 28.7%, accuracy = 74%). In the case of H. verticillata, electrical conductivity and suspended solids were key habitat factors (deviance explained = 23.4%, accuracy = 75%). Model results were highly consistent with observations and field data. Model performances were evaluated by the accuracy rate, the area under the receiver operating characteristic curve, the kappa value, and field verification, and were in generally good agreement. Few studies have evaluated the developed models using the independent field data. By understanding the environmental factors that characterize the habitats for submerged macrophytes, our results contribute to the development of conservation and management strategies for river ecosystems.https://doi.org/10.1051/kmae/2017044Eurasian watermilfoilHydrillawater conditionhabitat suitabilitygeneralized additive model
collection DOAJ
language English
format Article
sources DOAJ
author Son Deokjoo
Cho Kang-Hyun
Lee Eun Ju
spellingShingle Son Deokjoo
Cho Kang-Hyun
Lee Eun Ju
The potential habitats of two submerged macrophytes, Myriophyllum spicatum and Hydrilla verticillata in the river ecosystems, South Korea
Knowledge and Management of Aquatic Ecosystems
Eurasian watermilfoil
Hydrilla
water condition
habitat suitability
generalized additive model
author_facet Son Deokjoo
Cho Kang-Hyun
Lee Eun Ju
author_sort Son Deokjoo
title The potential habitats of two submerged macrophytes, Myriophyllum spicatum and Hydrilla verticillata in the river ecosystems, South Korea
title_short The potential habitats of two submerged macrophytes, Myriophyllum spicatum and Hydrilla verticillata in the river ecosystems, South Korea
title_full The potential habitats of two submerged macrophytes, Myriophyllum spicatum and Hydrilla verticillata in the river ecosystems, South Korea
title_fullStr The potential habitats of two submerged macrophytes, Myriophyllum spicatum and Hydrilla verticillata in the river ecosystems, South Korea
title_full_unstemmed The potential habitats of two submerged macrophytes, Myriophyllum spicatum and Hydrilla verticillata in the river ecosystems, South Korea
title_sort potential habitats of two submerged macrophytes, myriophyllum spicatum and hydrilla verticillata in the river ecosystems, south korea
publisher EDP Sciences
series Knowledge and Management of Aquatic Ecosystems
issn 1961-9502
publishDate 2017-01-01
description We examined the environmental factors that characterize the habitats of two submerged macrophytes, Myriophyllum spicatum and Hydrilla verticillata, in South Korea using generalized additive models (GAMs). We performed a vegetation survey and measured water depth and water velocity from May to September, 2014–2015. Averaged water quality data from the Ministry of Environment's national water quality measurement network from January 2012 to October 2015 were used for modeling. Potential habitats of M. spicatum were linked with chlorophyll a, nitrate nitrogen, suspended solids, water temperature, water depth, and water velocity (deviance explained = 28.7%, accuracy = 74%). In the case of H. verticillata, electrical conductivity and suspended solids were key habitat factors (deviance explained = 23.4%, accuracy = 75%). Model results were highly consistent with observations and field data. Model performances were evaluated by the accuracy rate, the area under the receiver operating characteristic curve, the kappa value, and field verification, and were in generally good agreement. Few studies have evaluated the developed models using the independent field data. By understanding the environmental factors that characterize the habitats for submerged macrophytes, our results contribute to the development of conservation and management strategies for river ecosystems.
topic Eurasian watermilfoil
Hydrilla
water condition
habitat suitability
generalized additive model
url https://doi.org/10.1051/kmae/2017044
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