한명수
2016-08-22T07:00:43Z
2016-08-22T07:00:43Z
2015-03
ENVIRONMENTAL MONITORING AND ASSESSMENT, v. 187, NO 4, Page. 187-198
1573-2959
0167-6369
http://link.springer.com/article/10.1007/s10661-015-4438-1
http://hdl.handle.net/20.500.11754/22680
To understand the factors controlling algal production in two lakes located on the Han River in South Korea, Lake Cheongpyeong and Lake Paldang, a principal component regression model study was conducted using environmental monitoring and primary productivity data. Although the two lakes were geographically close and located along the same river system, the main factors controlling primary productivity in each lake were different: hydraulic retention time and light conditions predominantly influenced algal productivity in Lake Cheongpyeong, while hydraulic retention time, chlorophyll a specific productivity, and zooplankton grazing rate were most important in Lake Paldang. This investigation confirmed the utility of principal component regression analysis using environmental monitoring data for predicting complex biological processes such as primary productivity; in addition, the study also increased the understanding of explicit interactions between environmental variables. The findings obtained in this research will be useful for the adaptive management of water reservoirs. The results will also aid in the development of management strategies for water resources, thereby improving total environmental conservation.
Han River Watershed Management Fund Marine Biotechnology Program - Ministry of Oceans and Fisheries, Korea
en
SPRINGER
Phytoplankton
Primary productivity
Controlling factors
Principal component regression
River-type reservoir
Identification of key factors influencing primary productivity in two river-type reservoirs by using principal component regression analysis
Article
4
187
10.1007/s10661-015-4438-1
187-198
ENVIRONMENTAL MONITORING AND ASSESSMENT
Lee, Yeonjung
Ha, Sun-Yong
Park, Hae-Kyung
Han, Myung-Soo
Shin, Kyung-Hoon
2015008867
S
COLLEGE OF NATURAL SCIENCES[S]
DEPARTMENT OF LIFE SCIENCE
hanms