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Technical Comments
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A number of studies have reported discrepancies in nutrient and oxygen data collected by different laboratories on different cruises (4-6). Two types of systematic errors must be taken into account in constructing calibration curves. The first is an intercept offset that is related to the background signal and is independent of sample concentration. The second is an error in slope that is related to the accuracy of standards and is proportional to sample concentration. In the absence of certified reference materials for nutrient analyses, it is customary in oceanography for individual laboratories to prepare their own calibration standards. Because of errors involved in standard preparation, the second type of systematic error, slope error, tends to dominate the total systematic error (7) and therefore to account for most of the discrepancies observed in modern data (Table 1).
The constant-offset correction that was determined in deep water and applied over the entire water column by Pahlow and Riebesell (1) would necessarily undercompensate or overcompensate for the actual systematic error in different parts of the water column. In the equatorial Atlantic, for example, applying a correction for slope errors instead of an offset correction would eliminate much of the reported temporal signal (8). In light of these questions regarding systematic-error correction, we conclude that, although Redfield ratios in the oceans may indeed change with time, the changes inferred by Pahlow and Riebesell are probably not valid.
Jia-Zhong Zhang
Cooperative Institute for Marine
and Atmospheric Studies
Rosenstiel School of Marine
and Atmospheric Science
University of Miami
Miami, FL 33149, USA
Calvin W. Mordy
Joint Institute for the Study
of Atmosphere and Ocean
University of Washington
Seattle, WA 98195, USA
Louis I. Gordon
Andy Ross
College of Oceanic
and Atmospheric Sciences
Oregon State University
Corvallis, OR 97331, USA
Hernan E. Garcia
Scripps Institution of Oceanography
University of California at San Diego
La Jolla, CA 92093, USA
2 from 500 to 2000 m, with a P:AOU ratio of
1:170 and a
(N:P) of 1.9 ± 1.2 per mil per year over
14 years. Similarly, AOU in the North Pacific was 500 mol
m
2 from 500 to 3000 m with a
(AOU) of 0.7 ± 0.1 per mil per year over 14 years.
Response: Zhang et al. use the temporal trends we observed in AOU and oxidative ratios to derive corresponding trends in absolute phosphate and oxygen concentrations, and on that basis raise two main points of criticism of the work reported by Pahlow and Riebesell (1). First, they maintain that the methodological uncertainties exceed the derived trend in phosphate concentration. And, second, they suggest that a correction for slope errors, rather than the offset correction that we applied, would eliminate much of the observed temporal signal. Below, we address each of these points and show that the concerns of Zhang et al. are unfounded.
Zhang et al. estimate a change in phosphate
concentration of 0.01 ± 0.01 µM over 14 years, based on an
average North Atlantic AOU of 120 mol m
2. The correct
value for the change in phosphate concentration over that time span in
our analysis, however, is actually 0.04 ± 0.04 µM (based on a
mean phosphate concentration of 1.5 µM, an observed North Atlantic
AOU trend of 0.3 ± 0.8 per mil per year, and an observed North
Atlantic AOU:P trend of 1.7 ± 1.2 per mil per year). In either
case, confidence intervals for changes in absolute nutrient
concentrations are indeed similar to or larger than the changes
themselves, which precluded the use of absolute concentrations in our
analysis. Much of the uncertainty, however, is due to natural
variability in AOU and nutrient concentrations between stations. The
strong co-variation between nutrients and AOU means that the use of
nutrient and oxidative ratios avoids station-to-station variability in
absolute concentrations. Hence, our study's approach was to test for
temporal changes in nutrient ratios rather than in absolute
concentrations. Zhang et al. also suggest that nutrient and
oxidative ratios should be evaluated relative to salinity rather than
depth; we indeed pursued such an evaluation early in our analysis and
achieved identical results.
The statement by Zhang et al. that our systematic corrections were greater than or similar to the reported mean signals does not apply to our data analysis. Our correction procedure was not performed on the basin-wide mean temporal trends, as implied by Zhang et al. Instead, we applied systematic corrections for each set of reoccupied stations individually. These individual corrections were smaller than the respective signals in almost all cases [e.g., figure 1 of (1)].
Zhang et al. point out that our analysis did not correct for systematic slope errors arising from calibration differences between cruises. Based on a difference in phosphate concentration of 0.8 µM between our correction range and the maximum concentration in the example profile that we published [figure 1 of (1)], Zhang et al. suggest that the slope error could explain 90% of the observed North Atlantic phosphate change (which, as noted, they incorrectly estimate at 0.01 ± 0.01 µM) over the 14 years.
A closer examination, however, suggests that correcting for slope error
would not materially change the results of our analysis. The average
difference between maximum phosphate concentrations and those in the
correction range was only 0.3 µM, because most locations used
in our analysis did not include data as close to the nutrient maximum
as shown in figure 1 of (1), which was chosen to illustrate
the correction procedure but not to be representative of all profiles.
As we explained [note 16 of (1)], the expected error
(En) of the mean of n measurements is
En = E1/n1/2, where
E1 is the error of a single measurement. Our
analysis for the North Atlantic comprised 20 combinations of different cruises (n = 20). The deviation due to a slope error of
3%, the figure cited in note 8 of the comment by Zhang et
al., would therefore be (0.3 µM)(0.03)/
= 0.002 µM. For a change in phosphate concentration of 0.04 µM, therefore,
the estimated impact of the slope error would not exceed 0.002/0.04, or
5% of the trend.
Markus Pahlow*
Ulf Riebesell
Alfred
Wegener Institute for
Polar and Marine Research
Post Office Box
120161
D-27515 Bremerhaven, Germany
* Present address: Bedford
Institute of Oceanography
Dartmouth, N.S. B2Y 4A2, Canada
Science. ISSN 0036-8075 (print), 1095-9203 (online)