Macroalgae and phytoplankton as indicators of ... - Naturstyrelsen

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40 Figure 3.7 continued Mean modelled levels of physico-chemical variables in coastal waters/sub-areas. (I) and (O) indicate inner and outer parts of the fjord. E: Secchi depth, F: concentration of chlorophyll a, and G: salinity.
3.4.3 Algal variables in relation to physico-chemical variables The area-specific modelled marginal means of algal variables were related to the area-specific modelled means of the physico-chemical variables through multiple regression analysis. In these analyses mean cover levels for each coastal area represented an average water depth of 7 m, a substratum composed of 50% hard bottom and July as the sampling month. We found a similar tendency for all tested algal variables: they were related to the concentration of total nitrogen and salinity and/or interactions between them. An interaction between effects of TN and salinity means that the effect of TN depends on the salinity or vice versa. No other physico-chemical variables improved the relationships (Table 3.9). All relationships were highly significant and could explain from 66 to 80% of the variation in algal variables (0.6349
Page 1 and 2: National Environmental Research Ins
Page 3 and 4: National Environmental Research Ins
Page 5 and 6: Contents Summary 5 Sammenfatning 6
Page 7 and 8: Summary During the implementation o
Page 9 and 10: 1 Introduction This report is part
Page 11 and 12: Figure 2.1 Long-term trends in nitr
Page 13 and 14: Figure 2.2 Surface TN versus salini
Page 15 and 16: 2.2.2 Nitrogen input-TN relationshi
Page 17 and 18: Flensborg Fjord on the ranked scale
Page 19 and 20: Table 2.4 Suggested reference condi
Page 21 and 22: the gradient. These responses have
Page 23 and 24: Table 3.1 Overview of sampling area
Page 25 and 26: We assumed that mean values from th
Page 27 and 28: and 2005), averaged over the months
Page 29 and 30: The second component of the Spanish
Page 31 and 32: The variance of a macroalgae indica
Page 33 and 34: The levels of mean cumulated algal
Page 35 and 36: Figur 3.5 continued Modelled mean l
Page 37 and 38: while the fraction of opportunists
Page 39 and 40: 3.4.2 Physico-chemical variables Ph
Page 41: Figure 3.7 continued Mean modelled
Page 45 and 46: Figure 3.8 continued Cumulated cove
Page 47 and 48: inputs (Figures 3.9 and 3.10) where
Page 49 and 50: A Total algal cover (%) 100 95 90 8
Page 51 and 52: A 100 B 140 Total algal cover (%) 8
Page 53 and 54: A response to changes in nutrient c
Page 55 and 56: In its present form the Spanish ind
Page 57 and 58: 3.6 Conclusions • All algal varia
Page 59 and 60: gime shift after changing the sluic
Page 61 and 62: Figure 4.3 Estimated site-specific
Page 63 and 64: from Randers Fjord and Odense Fjord
Page 65 and 66: moderate boundaries. Reference dept
Page 67 and 68: 4.3 Evaluation of the precision of
Page 69 and 70: The 90-percentile was clearly subst
Page 71 and 72: 5 Conclusions and recommendations R
Page 73 and 74: 6 References Andersen, J., Markager
Page 75: Nielsen, S.L., Sand-Jensen, K., Bor
Page 78 and 79: 76 Appendix 1. Reference levels and
Page 84 and 85: Appendix 7. Modelled mean levels of
Page 86 and 87: Appendix 9. Modelled mean levels of
Page 88 and 89: Appendix 11. Modelled mean levels o
Page 90 and 91: Appendix 13. Results of power analy
Page 92 and 93:
Appendix 18. Results of power analy
Page 94 and 95:
NERI Technical Reports NERI’s web
Page 96:
of Danish coastal waters 683 Macroa
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Macroalgae and phytoplankton as indicators of ... - Naturstyrelsen

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