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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Online Access: | https://doi.org/10.1051/kmae/2017044 |
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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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