Box 22. Herbivory as a low-latitude phenomenon.
The ECOLOGY table uses a multiple-choice field to define broadly the trophic niche of fishes, with herbivory being equated to one of the choices, i.e., for fishes consuming ‘mainly plants/detritus’. Similarly, a value of near two (i.e., troph - 2 s.e. £ 2) in the ‘troph’ field of the ECOLOGY table implies herbivory.
This allowed construction of a FishBase plot of % herbivorous fishes vs. latitude (Fig. 34), i.e., to make accessible in visual form the fact that herbivorous fish species tend to be far more frequent in low than in high latitudes, although their overall percentage among all fishes is small (>1.1%). Both of these phenomena can be explained by the difficulties most fish have in establishing and maintaining, throughout and subsequent to a feeding bout, the low pH levels required for digestion of plant material, especially at low temperatures.
The ‘>’ symbol used above refers to the fact that: (1) not all species have Ecology records; (2) 4% of the more than 4,000 species with Ecology records do not have feeding type information; and (3) that non-herbivorous feeding habits are used as default for species without records.. Still, we expect, when this field is completed for all species, that the overall number of herbivorous species will remain under 2%, and the shape of the graph unchanged, i.e., with a bulge at low latitudes.
Daniel Pauly
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Box 23. Trophic levels of fishes.
Trophic levels (here abbreviated to ‘troph’, to avoid overlap with ‘TL’, used for total length), express where fish and other organisms tend to operate in their respective food webs.
Unlike counts of dorsal fin rays, trophs are not attributes of the organisms for which feeding is being categorized, but of their interactions with other organisms. Thus, to estimate the trophs of fish, we must consider both their diet composition, and the trophs of their food item(s). The troph of a given group of fish (individuals, population, species) is then estimated from
Troph = 1 + mean troph of the food items …1)
where the mean is weighted by the contribution of the different food items.
Following a convention established in the 1960s by the International Biological Program, we attribute primary producers and detritus (including associated bacteria) a definitional troph of 1 (Mathews 1993).
Thus, for example, an anchovy whose diet would consist of 50% phytoplankton (troph = 1) and 50% herbivorous zooplankton (troph = 2) would have a troph of 2.5. The last value is an estimated, fractional troph, differing conceptually and numerically from the integer values that are often assumed for higher trophs, and which we think are too imprecise and inaccurate to be useful in any kind of analyses.
An omnivore is a "species which feeds on more than one trophic level" (Pimm 1982). Thus, an omnivory index (O.I.) can be derived from the variance of the trophs of a consumer’s food groups. The O.I. takes values of zero when all feeding occurs at the same troph, and increases with the variety of food items’ trophs.
Routines for estimation of trophs and O.I. values are incorporated in the Ecopath software, which has been applied to a large number of ecosystems (see Pauly and Christensen 1995; Pauly et al. 1998 and Box 21). Troph estimates from Ecopath have been found to correlate closely with troph estimates based on stable isotope ratios (Kline and Pauly 1998).
This has led to numerous troph estimates for a wide range of taxa becoming available, notably for the invertebrates, fish, marine mammals and other groups covered by FAO statistics, and now included in FishBase.
The diet compositions given, within FishBase, for many species of fishes, also allow the estimation of trophs. The trophs of the preys required for such computation are given in a sub-table of the FOOD ITEMS table.
It is anticipated that analyses based on the trophs incorporated in FishBase will tend to combine estimates from a number of groups (as e.g., in the analyses which led to Fig. 4), so that inaccuracies on some estimates will be compensated for by inaccuracies with opposite signs, related to other groups. For more rigorous approaches to uncertainties, standard errors are also attached to most estimates of trophs, based on s.e. = SQR (O.I.), where O.I. is the omnivory index presented above.
References
Kline, T. and D. Pauly. 1998. Cross-validation of trophic level estimates from a mass-balance model of Prince William Sound using 15N
/14N
data. In Fishery stock assessment models. Alaska Sea Grant College Program. AK-SG-
98-01.
Mathews, C.P. 1993. Productivity and energy flows at all trophic levels in the River Thames, England: Mark 2, p. 161-171. In V. Christensen and D. Pauly (eds.) Trophic models of aquatic ecosystems. ICLARM Conf. Proc. 26. 390 p.
Pauly, D. and V. Christensen. 1995. Primary production required to sustain global fisheries. Nature 374:255-257.
Pauly, D., V. Christensen, J. Dalsgaard, R. Froese and F. Torres, Jr. 1998. Fishing down the food webs. Science 279:860-863.
2
Pimm, S. 1982. Food webs. Chapman and Hall, London and New York. 219 p.
Daniel Pauly and Villy Christensen
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