Comment affected by changes in turbidity, and the Secchi disk can be a quick and easy way to get meaningful information. W. T. Edmondson Department of Zoology University of Washington Seattle 98195 Limnol. Oceanogr., E(2), @ 1980, by the American 1980,379-382 Society of Lnnnology More complications disk relationship and Oceanography, 379 References CHASAN, D. J. 1971. Seattle area wouldn’t allow death of its lake. Smithsonian 2(4): 6-13. EDMONDSON, W. T. 1972. Nutrients and phytoplankton in Lake Washington. Am. Sot. Limnol. Oceanogr. Spec. Symp. 1: 172-193. HAFFNER, G. D., AND J. H. EVANS. 1974. Relation of light penetration to particle distribution in vertically mixed lacustrine environments. Br. J. Phycol. 9: 261-267. HUTCHINSON, G. E. 1957. A treatise on limnology, v. 1. Wiley. Inc in the chlorophyll-Secchi The comments of Lorenzen (1980), Megard et al. (1980), and Edmondson (1980) deal critically with certain assumptions underlying the relationship between Secchi disk transparency and algal chlorophyll. Among other things, Lorenzen and Megard et al. criticize the use of the power function used by me and others to describe this relationship and suggest that the attenuation of light by nonalgal substances adequately accounts for deviations from simple light attenuation models. These comments are especially important to me because I published a trophic state index related to algal biomass (Carlson 1977). Although algal biomass was the basis for the index, I chose to base the index values on Secchi disk transparency rather than on a direct measure of algal biomass because I wanted the final index values to be easily understood by the lay public. It was fortuitous that the normal range of transparency values could conveniently be transformed into a scale of O-100. As the philosophy underlying the index was that trophic state variables should be quantifiably related, I chose the Beer-Lambert equation as the basis for establishing a theoretical connection between transparency and other trophic state variables. Although the equation is a simplistic representation of how a Secchi disk works (Hutchinson 1957; Tyler 1968), I felt that it was adequate to describe general relationships. The equation predicted that a linear relationship should exist between the inverse of Secchi disk transparency (l/SD) and other biomass indicators. However, when chlorophyll and transparency data for 14 lakes were plotted, the relationship was not linear as predicted. I suggested that this could be explained if chlorophyll per cell increased as total algal biomass increased. There is evidence to support this hypothesis: l-Chlorophyll per cell has been found to increase in certain species as the mean light climate decreased (Steele 1962; Jgrgensen 1969). This decrease could be produced in lakes by the increased light attenuation as algae increase in abundance. 2-The relationship between Secchi disk transparency and total phosphorus did fit the simple inverse model. 3-The total phosphorus-chlorophyll relationship was also nonlinear. 4-Chlorophyll is nonlinearly related to seston dry weight and to total particle volume (as determined with a Coulter Counter) (Hallegraeff 1976). Items 2,3, and 4 all suggest that the problem of nonlinearity involves chlorophyll rather than the other biomass variables. The problem is that total phosphorus, Comment ‘Or I . 110 ! z -- 100 t 90 c80 E z 3 “r 8C l -5 t ’ t . Y . 3 “7 . a- . . k g . ;I . . 29 .* w 2 5 > Chl=1 856 VOL . (: -5 874 , 1 ‘1 , I 20 33 MEAN 20 CELL 30 VOLUME 40 (cm3 50 so , 1 -40 CHLOROPHYLL , 5: 61: I (mg rn3) /------u 250 260 Fig. 2. Plot of I’-intercepts against mean chlorophyll concentration for lakes listed in Table 1. m3) between total algal cell volFig. 1. Relationship ume and chlorophyll (1 concentration in fi\.e Olinnesota lakes. Data from Shapiro and Pfankuch (unpubl.). seston dry weight, total particle \-olume, and Secchi disk t ransparency do not measure algal biomass exclusively. Xny nonalgal Factor that is measured concurrentl> with algae by these \,ariables would create the same nonlinearity with chlorophyll. The direct test would be to examine the relationship of chlorophyll to a direct measure of algal biomass such as cell \.olume. Laboratory studies might be in\-alid because the hypothesis depends on a changing light climate. Using data supplied by J. Shapiro (Shapiro and Pfankuch unpubl.), I plotted chlorophyll against total cell volume. The results, based on five Minnesota lakes (Fig. l), strongly suggest that chlorophyll is indeed a linear correlate of cell volume, and the nonlinearity is caused by some other f&tor. Lorenzen (1980) and 1Iegard et al. (1980) suggested that the nonlinearity in the plot of the inverse of transparency against chlorophyll was the result of laketo-lake \-ariations in the background attenuation coefficient, k,,.. Megard et al. suggested that if the data for each lake were plotted separately-, the relationship would be linear; I did this for the original lakes as well as for some additional data supplied hy J. Shapiro (Table 1). In all the lakes the relationships were either linear or the data too scattered to fit any curve well. Random variations in k,,. , which is related to the Y-intercept [k,,./ln(l,,/l,)], could not account for the nonlinearity of my original plot, as was suggested by hlegard et al. and Lorenzen. A randomly \-arying k,,. would be averaged in the regression and the plot would remain linear. It is evident from Table 1 that the slopes tend to decrease with increasing mean chlorophyll concentration while the Y-intercepts tend to increase (Fig. 2). The nonlinearity in my Secchi disk-chlorophyll plot appears to be largely the result of the Y-intercepts co\.arying with the mean lake chlorophyll concentration. This same relationship between k,,. and chlorophyll is also e\-ident in the three lakes cited by 1Llegard et al. In f&t, other data supplied to me by Megard indicated by a that k,,. was related to chlorophyll power function (Carlson 1979). With more data this cul7.e may pro\-e to saturate at higher chlorophyll \-aloes, but the evidence suggests that in some manner k,,. covaries with chlorophyll. If k,,. varied as a direct flmction of chlorophyll, then its effect would be in the slope of the line rather than in the Y-intercept. The slope would be affected by pigments other than chlorophyll II or algal detritus, but the kr-intercept would not be affected. The Y-intercept is a measure of the attenuation of materials not covarying with chlorophyll. The data base is certainly too small to illustrate the total variation in k,,. between lakes. The addition of highly colored, low chlorophyll lakes may eliminate any chlorophyll-k,,. relationships, but Fig. 2 suggests that a minimum k,,. Comment Table 1. Linear regression relationships parency (Y-axis) in several lakes. between 381 chlorophyll (X-axis) and in\ erse of Secchi disk trans- Lnke Minnetonka Browns Bay Carman Ba) Upper Lake Halsted Bay 10 10 10 37 9.10 6.09 14.68 31.64 Superior 20 0.79 0.0536 0.0688 0.1691 Schelske 4 0.15 0.0349 0.0340 0.8063 Powers et al. 1972 Waldo 0.0166 0.0289 0.0162 0.0225 0.3827 0.3057 0.4637 0.5001 0.3200 0.3321 0.1644 0.6370 \4egard unpubl. et al. 1972 Lake of the I\lea 1971 1972 13 13 45.50 56.35 0.0257 0.0154 0.4263 0.7553 0.3576 0.5653 Shapiro and Pfankuch unpubl. Calhoun 1971 1972 17 16 10.82 22.14 0.0075 0.0093 0.3816 0.4038 0.2289 0.4577 Shapiro and Pfankuch unpubl. Harriet 1971 1972 18 16 9.26 5.45 0.0168 0.0187 0.3894 0.2766 0.7093 0.4759 Shapiro and Pfankuch unpubl. 0.0143 0.1556 0.8770 Carlson Cottonwood 5 251 might exist for any giLTen mean chlorophyll concentration. Another possibility is that k,,. varies independently of chlorophyll within a given lake, yet in comparisons of the mean k,,. between lakes a relationship exists because lake or inflowing stream characteristics that affect the growth of algae may also affect the amount of nonalgal particles and color. Areas near the mouths of streams ma) have both high chlorophyll \-alues and high dissol\Ted fluorescence, a quality related to water color (Carlson et al. unpubl.). Shallow lakes ha\-e long been thought to be more productive than deeper lakes, yet in shallow lakes there is also a greater potential for wind-stirred sediments and a higher k,,.. It seems evident that the relationship between algal biomass and transparency is not to be completely explained by simple equations. Certainly more attention should be given to the nature and effect of nonalgal light attenuation. If k,,. does somehow covary with chlorophyll, then any use of these equations for predictive purposes would be suspect. Estimates of chlorophyll from transparency measurements can be made by using a constant k,,. derived by the method described by Megard, but this use of the Secchi disk is of dubious importance. Transparency does not simply depend on the vertical 1975 attenuation of light by chlorophyll, nnd Edmondson quite rightly points out that scattering of light by particles is a irery important f&or. The scatter found in my graphs of l/SD versus chlorophyll (as seen in the r2 \ralues in Table 1) attest to the f&t that these relationships are quite \-ariable. Th e Secchi disk would best be relied on as a biomass indicator only when none better is available. I ha\Te certainly used Secchi disk transparency as biomass indicator in ml’ trophic state index. Considering all the potential error associated with the use of the Secchi disk, I am amazed at the degree to which the transparency and chlorophyll indices do agree. Megard considered the trophic state index to be ambiguous because lakes with the same transparencies but different nonalgal attenuation coefficients would be considered to have the same amount of algal biomass and thus be assigned the same trophic state value. This is not really a problem if chlorophyll were also meadeviation of the sured. A systematic transparency index from the chlorophyll index would indicate that there were differences in k,,.. The index values based on chlorophyll should be gi\Ten greater weight than transparency values. The major ambiguity inherent in the index is not the possibility of misinter- 382 Comment pretation of trophic state because of variations in k,,. , as suggested by Megard, but that the index assumes that chlorophyll increases exponentially relative to algal biomass. The evidence presented here suggests that chlorophyll is linearly related to biomass, and therefore the index distorts changes in algal biomass. A lounit change in the index signifies a halving or doubling of transparency, but a doubling in chlorophyll will only increase the index value by 7. A total revision of the index would involve basing it on a direct measure of algal biomass such as total cell volumes or chlorophyll. A problem with revising the index based on a lo-unit increase with each doubling is that the index will no longer fit neatly between 0 and 100. The range of biomass values found would mean either that some lakes would have negative values or that some would have values of 150 or more. A possible solution is to keep the same scale and simply accept that each 7 units rather than 10 units represents a doubling in algal biomass. The scale would now be double: a lo-unit scale for transparency and a 7-unit scale for biomass. The dual scale should be used with some caution because it still implies 8 strong relationship between biomass and transparency. This comment as well as those of Regard et al., Lorenzen, and Edmondson emphasize that there is a great deal of uncertaintyin that relationship and that these scales are coupled in only a general way. Within my lake, the relationship between biomass and transparency will depend, at the \‘er\. least, on the value of the background attenuation coefficient. The scales cm be expected to de\,iate significantly at low chlorophyll concentrations when the effect of k,,. is the greatest. Lorenzen and _\legarcl et al. are certainly correct that the background attenuation coefficient, k,,. , is an important faci II determining tor transparency. However, their explanation that the nonlinearity in the relationship between 1/ SD and chlorophyll is caused simply by differences in k,,. in lakes cannot be substantiated. The nature of a k,, that covaries with mean chlorophyll concentration makes an enticing subject for future investigation. Equally interesting is that the well known power relationship between chlorophyll and total phosphorus could be caused by systematic differences in nonalgal phosphorus between lakes. If this were true, we might expect that the relationship between chlorophyll and total phosphorus would be linear in individual lakes. Robert E. Carlson Department of Biological Kent State University Kent, Ohio 44242 Science References CARLSON, R. E. 1975. Phosphorus cycling in a shallow eutrophic lake in southwestern \4innesota. Ph.D. thesis, Univ. Minnesota. -. 1977. A trophic state index for lakes. Limnol. Oceanogr. 22: 361-369. -. 1979. A review of the philosophy and construction of trophic state indices, p. l-52. Zn T. Maloney [ed.]. Lake and reservoir classification systems. USEPA Ecol. Res. Ser. EPA-600/3-79074. EDMONDSON, W. T. 1980. Secchi disk and chlorophyll. Limnol. Oceanogr. 25: 378-379. HALLEGFUEFF, G. X4. 1972. Pigment diversity, biomass and species di\,ersity of phytoplankton of three Dutch lakes. Ph.D. thesis, Univ. Amsterdam. HVTCHINSON, G. E. 1957. A treatise on limnolog),, v. 1. Wiley. JBRGENSEN, E. G. 1969. The adaptation of plankton algae. 4. Light adaptation in different algal species. Physiol. Plant. 22: 1307-1315. LORENZEN, hf. W. 19&O. L-se of chloroph>.ll-Secchi disk relationsllips. Limnol. Oceanogr. 25: 371-372. \IEG.~RD, R. O., J. C. SETTLES, H. A. BOYER, AND \V. S. COMBS, JR. 1980. Light, Secchi disks, and trophic states. Limnol. Oceanogr. 25: 373,377. POWERS, C. F., D. \I'. SCHPLTS. IL \Y. \I.\LcEG, R. .\I. BRICE, ASD 11. D. SCHTZLDI‘. 1972. Algal response\ to nutrient addition\ in natural waters. 2. Field experiments. Xm. Sot. Limnol. Oceanogr. Spec. Symp. 1: 141-1.54. SCHELSKE, C. E., L. E. FELDT, Sl. .\. SO-TIAGO, AND E. F. STOERMER. 1972. Nutrient enrichment and its effects on phytoplankton production and species composition in Lake Superior. Proc. 15th Conf: Great Lakes Res. 1972: 149165. STEELE, J. H. 1962. En\ ironmental control of photos)-nthesis in the sea. Limnol. Oceanogr. 7: 137-150. TYLER, J. E. 1968. The Secchi disc. Limnol. Oceanogr. 13: l-6.
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