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

Son, D; Cho, KH; Lee, EunJu

HERO ID

8041883

Reference Type

Journal Article

Year

2017

HERO ID 8041883
In Press No
Year 2017
Title The potential habitats of two submerged macrophytes, Myriophyllum spicatum and Hydrilla verticillata in the river ecosystems, South Korea
Authors Son, D; Cho, KH; Lee, EunJu
Journal Knowledge and Management of Aquatic Ecosystems
Issue 418
Abstract 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.
Doi 10.1051/kmae/2017044
Wosid WOS:000416259600001
Is Certified Translation No
Dupe Override No
Is Public Yes
Keyword Eurasian watermilfoil; Hydrilla; water condition; habitat suitability; generalized additive model