2007
DOI: 10.23818/limn.26.22
|View full text |Cite
|
Sign up to set email alerts
|

Dynamics of the planktonic food web in Colgada Lake (Lagunas de Ruidera Natural Park)

Abstract: Dynamics of the planktonic food web in Colgada Lake (Lagunas de Ruidera Natural Park)In Colgada Lake, one of the 15 lakes belonging to Lagunas de Ruidera Natural Park, the components of the lineal food chain (phytoplankton and metazooplankton) and the microbial loop phytoplankton, metazooplankton, ciliates, autotrophic picoplankton, and bacterioplankton) were studied from June 2003 to December 2004 with a monthly sampling frequency. This lake has monomictic and mesotrophic characteristics and a mean depth of 8… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2010
2010
2022
2022

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 8 publications
(1 citation statement)
references
References 50 publications
0
1
0
Order By: Relevance
“…Lineal metazooplanktonphytoplankton chain has the highest carbon content irrespective of rotifers having C contents, while microbial loop components have lower carbon content. However, the microbial loop components contribute relatively higher carbon content in the winter mixing period (Rojo et al, 2007). In a study by Hayat and Javed (2008), a regression analysis showed 77.37% variations in productivity of plankton due to temperature, dissolved oxygen, total hardness, and total alkalinity, however, a negative but significant (P<0.01) regression coefficient was resulted by the regression analysis of total hardness of the of pond water.…”
Section: Introductionmentioning
confidence: 96%
“…Lineal metazooplanktonphytoplankton chain has the highest carbon content irrespective of rotifers having C contents, while microbial loop components have lower carbon content. However, the microbial loop components contribute relatively higher carbon content in the winter mixing period (Rojo et al, 2007). In a study by Hayat and Javed (2008), a regression analysis showed 77.37% variations in productivity of plankton due to temperature, dissolved oxygen, total hardness, and total alkalinity, however, a negative but significant (P<0.01) regression coefficient was resulted by the regression analysis of total hardness of the of pond water.…”
Section: Introductionmentioning
confidence: 96%