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. 2013 May 24;8(5):e64767. doi: 10.1371/journal.pone.0064767

Table 2. The variables used as predictors for the temporal development of zoobenthos communities in Kvädöfjärden.

Variable Abbr1 Season Months Depth Unit Sampling station Data prov2 Lag phase3
Local water temperature, summer TsuL Summer June-Aug 0–10 m °C Kvädöfjärden SLU4 −1 year
Local water transparency5 TRL Summer Aug NA m Kvädöfjärden SLU4 −1 year
Local fish community composition, summer FsuL 6 Summer Aug NA NA Kvädöfjärden SLU4 −1 year
Local fish community composition, autumn FauL 7 Autumn Oct NA NA Kvädöfjärden SLU4 –1 year
Local runoff of nitrogen from land NL Annual NA NA Tonnes Östergötland county (E) SLU4
Regional surface water temperature, spring TspR Spring April 0–10 m °C BY15 SMHI8
Regional surface water temperature, summer TsuR Summer June-Aug 0–10 m °C BY15 SMHI8 −1 year
Regional surface salinity SR Annual NA 0–10 m psu BY15 SMHI8
Regional surface pH pHR Annual NA 0–10 m NA BY15 SMHI8
Regional surface oxygen, summer OR Summer July-Aug 0–10 m ml/l BY15 SMHI8 −1 year
Regional surface DIN, winter DINR Winter Jan-Feb 0–10 m µmol/l BY15 SMHI8
Regional surface DIP, winter DIPR Winter Jan-Feb 0–10 m µmol/l BY15 SMHI8
Baltic Sea Index, winter BSI Winter Dec-March NA NA NA IFM GEOMAR9
1

Abbreviation as used in the text and figures.

2

Data provider.

3

Lag phase of the data in the DISTLM analysis.

4

Swedish University of Agricultural Sciences.

5

Excluded from analysis due to a VIF value >4 [28].

6

Explained 40% of variation in fish community structure [5].

7

Explained 45.4% of variation in fish community structure [5].

8

Swedish Meteorological and Hydrological Institute.

9

Leibniz Institute of Marine Sciences.