TOWARDS A TRANSITION FROM SINGLE- SPECIES TO ECOSYSTEM- BASED MANAGEMENT
10.11 TOWARDS A TRANSITION FROM SINGLE- SPECIES TO ECOSYSTEM- BASED MANAGEMENT
The requirement for ecosystem-based manage- ment derives its validity from a stark set of alterna- tives: either the beginning of the 21st century will see a transition towards ecosystem-based man- agement in most areas currently exploited by major fisheries, or it will see the destruction of the ecosystems exploited by these same fisheries. Until recently, the call for ecosystem-based management could be dismissed by regulatory agencies intent on continuing business as usual because ecosystem management tools were not available. The sets of conceptual tools mentioned above, notably Ecopath, Ecosim and Ecospace can, however, be used to identify the key elements of management strategies that would enable fish- eries to be sustained by sustaining the ecosystem in which they are embedded. The two major tools available for this are:
1 Ecoseed: a routine for seeding marine protected areas (MPAs), originally covering only one cell within the spatial grid in an Ecopath/Ecospace map, then identifying, by brute-force computa-
tions, the sequence of cells which, when added to that initial seed, will contribute most to overall benefits, either in terms of market values calcul- ated as species caught multiplied by their price, minus cost of catching them, and/or in terms of their existence values, for example, as whale abun- dance to the whale-watching industry. Results of various Ecoseed runs for different systems show, in accordance with theoretical expectation, that MPAs should be large relative to exploited areas. Important here is that MPAs simulated this way consider all trophic interactions between the species included in an ecosystem model and not only the expected biomass increase of a few charis- matic species.
2 An optimization approach structured around Ecosim’s ability to identify the mix of fleet- specific fishing mortality which optimizes cumu- lative benefits over a set period, e.g. 30 years, under any of the following constraints: (a) maximizing net return to the fishery, which generally involves moderate mortality on valu- able target species and a small overall level of effort; (b) maximizing employment, which means iden- tifying the fleet configuration which sustainably exploits the ecosystem, albeit with an effort level as high as possible. This high effort leads to high employment; (c) maximizing ecosystem maturity, by identify- ing the fleet configuration which maximizes, for all groups in a system, the sum of product of bio- mass and B/P. The latter is in accordance with Odum (1969) who predicts the highest product of
B and B/P for the long-lived organisms typical of mature systems; (d) mandated rebuilding, wherein the fleet config- uration is sought which enables faster rebuilding towards a set threshold as required. This could result from a consequence of a legal decision; (e) optimizing a mix of (a)–(d) wherein any of these can be given different weights.
These two approaches combined and used inde- pendently allow scientists, for any ecosystem for which a suitably detailed Ecopath model has been previously constructed, to explore the implica- tions of various policies, and to quantify their out-
225 comes in economic and social terms, and in the
Ecosystem Models
REFERENCES
form of the ecosystem biodiversity they imply. A
very important aspect of these simulations is that they invite a discussion of how we want ecosys- Allen, K.R. (1971) Relation between production and tems to look in the future, and the discussion takes biomass. Journal of the Fisheries Research Board of
place in a quantifiable manner. 28, 1573–81. Alward, G.L. (1932) The Sea Fisheries of Great Britain and Ireland . Grimsby: Albert Gait. Andersen, K.P. and Ursin, E. (1977) A multispecies exten-
Canada
10.12 CONCLUSIONS
sion to the Beverton and Holt theory of fishing, with accounts of phosphorus circulation and primary
The concepts and tools for ecosystem modelling production. Meddelelser fra Danmarks Fiskeri og presented above allow for a transition towards Havundersogelser , N.S. 7, 319–435. Beverton, R.J.H. and Holt, S.J. (1957) On the dynamics of
ecosystem-based management of fisheries. Obvi- exploited fish populations. United Kingdom Ministry ously, uncertainty remains a major issue in such
of Agriculture, Fisheries and Food. Fishery Investiga- analyses. For example, the science of how whole
tions Series II, vol. xix, 533 p. ecosystems respond to changes in management re- Bianchi, G., Gislason, H., Graham, K., Hill, L., Jin, X., mains very weak (Polunin and Pinnegar, Chapter
Koranteng, K., Manickchand-Heileman, S., Payá, I.,
14, Volume 1). However, not using tools such as de- Sainsbury, K., Arreguin-Sánchez, F. and Zwanenburg, scribed here will not reduce uncertainty. The way K. (2000) Impact of fishing on size composition and diversity of demersal fish communities. ICES Journal
to reduce uncertainty about ecosystem function
57, 558–71. and the impacts of fishing thereon is to construct Christensen, V. (1995a) A multispecies virtual popula- representations of these ecosystems and to probe
of Marine Science
tion analysis incorporating information of size and age. their behaviour by posing intelligent questions
ICES CM 1995/D: 8.
about the process, and intelligently interpret- Christensen, V. (1995b) Ecosystem maturity – toward ing the answers. The effect of uncertainties will
quantification. Ecological Modelling 77, 3–32. manifest themselves and they will then have Christensen, V. (1998) Fishery-induced changes in marine ecosystems: insights from the Gulf of Thai- to be confronted using whatever new tools might
land. Journal of Fish Biology 53 (Suppl. A), 128–42. become available. On the other hand, the effect of Christensen, V. and Pauly, D. (1992) The ECOPATH II – a
fishing on ecosystems is not uncertain. The time software for balancing steady-state ecosystem models has now come for us to generalize from the accu-
and calculating network characteristics. Ecological mulated experience of a century of marine and
Modelling
fisheries research; the tools presented above pro- Christensen, V. and Pauly, D. (eds) (1993) Trophic models of aquatic ecosystems. ICLARM Conference Proceed-
vide a context wherein these generalizations can ings No. 26. International Center for Living Aquatic
be made. Resources Management, Manila. Christensen, V. and Pauly, D. (1998) Changes in models of ecosystems approaching carrying capacity. Ecologi-
cal Applications 8 (1), 104–9. Christensen, V., Walters, C.J. and Pauly, D. (2000) Ecopath with Ecosim: a User’s Guide We thank Carl Walters for his collaboration, and . Fisheries Centre, University of British Columbia, Vancouver:
ACKNOWLEDGEMENTS
for crucial contributions towards the development and Penang: International Center for Living Aquatic of Ecosim and Ecospace, both of which make
Resources Management.
Ecopath more useful than it had ever been. We Cortés, E. (1999) Standardized diet compositions and also thank the hundreds of Ecopath users; without
trophic levels of sharks. ICES Journal of Marine them, the generalizations presented here would
Science
never have emerged. Finally, thanks to Deng Cotte, M.J. (1944) Poissons et animaux aquatiques aux Palomares, without whom this contribution temps de Pline: Commentaires sur le Livre IX de ‘His-
toire Naturelle de Pline . Paris: Paul Lechevalier. would never have been written.
Cousins, S.H. (1985) The trophic continuum in marine
Chapter 10
ecosystems: structure and equations for a predictive Lindeman, R.L. (1942) The trophic dynamic concept in model. In: R.E. Ulanowicz and T. Platt (eds), Ecosystem
ecology. Ecology, 23 (4), 399–418. theory for biological oceanography, Canadian Bulletin
Lotka, A.J. (1925) Elements of Mathematical Biology. of Fisheries and Aquatic Science 213, 76–93.
New York: Dover Publications. Darwin, Charles (1859) The Origin of Species. London:
MacDonald, J.S. and Green, P.H. (1983) Redundancy of John Murray.
variables used to describe importance of prey species in Froese, R. and Pauly, D. (2000) FishBase 2000: Concepts,
fish diet. Canadian Journal of Fisheries and Aquatic Design and Data Sources . Los Baños, Philippines:
Sciences
ICLARM. MacKay, A. (1981) The generalized inverse. Practical Gause, G.F. (1934) The Struggle for Existence. Baltimore,
Computing (September), 108–10. Md.: Williams and Wilkins.
Mathisen, O.A. and Sands, N.J. (1999) Ecosystem model- Gayanilo, F.C., Jr., Sparre, P. and Pauly, D. (1996) The
ing of Becharof Lake, a Sockeye salmon nursery lake FAO-ICLARM Stock Assessment Tools (FiSAT) User’s
in Southwestern Alaska. pp. 685–703 In: Ecosystem Guide . FAO Computerized Information Series/
Approaches for Fisheries Management . Alaska Sea Fisheries 8.
Grant College Program AK-SG-99-01. Golley, F.B. (1993) A History of the Ecosystem Concept in
Minagawa, M. and Wada, E. (1984) Stepwise enrichment Ecology: More than the Sum of its Parts . New Haven,
of 15 N along food chains: further evidence and the rela- Ct.: Yale University Press.
tion between 15 N and animal age. Geochimica and Grigg, R.W. (1982) Darwin Point: a threshold for atoll
48, 1135–40. formation. Coral Reefs 1, 29–34.
Cosmochimic Acta
Munro, J.L. (1983) Assessment of the potential pro- Ivlev, V.S. (1961) Experimental ecology of the feeding of
ductivity of Jamaican waters. In: J.L. Munro (ed.) fishes. New Haven, Ct.: Yale University Press.
Caribbean Coral Reef Fisheries Resources . ICLARM Jones, R. (1982) Ecosystems, food chains and fish yields.
Studies and Reviews. 7, pp. 232–48. International In: D. Pauly and G.I. Murphy (eds) Theory and Manage-
Center for Living Aquatic Resources Management, ment of Tropical Fisheries. ICLARM Conference
Manila.
Proceedings , 9, pp. 195–239. International Center for Murawski, S.A., Lange, A.M. and Idoine, J.S. (1991) An Living Aquatic Resources Management, Manila.
analysis of technological interactions among Gulf of Kirkwood, G.P. (1982) Simple models for multispecies
Maine mixed-species fisheries. pp. 237–52. In: N. Daan fisheries, In: D. Pauly and G.I. Murphy (eds). Theory
and M.P. Sissenwine (eds) Multispecies Models and Management of Tropical Fisheries . ICLARM
Relevant to Management of Living Resources . ICES Conference Proceedings 9, pp. 83–98. International
Marine Science Symposia (193), pp. 237–52. Center for Living Aquatic Resources Management,
NRC (1999) Sustaining Marine Fisheries. National Manila.
Research Council. Washington DC: National Acade- Kline, T.C. Jr. and Pauly, D. (1998) Cross-validation of
my Press.
trophic level estimates from a mass-balance model of Odum, E.P. (1969) The strategy of ecosystem develop- Prince William Sound using 15N/14N data. pp.
ment. Science 164, 262–70.
693–702 In: T.J. Quinn II, F. Funk, J. Heifetz, J.N. Odum, W.E. and Heald, E.J. (1975) The detritus-based Ianelli, J.E. Powers, J.F. Schweigert, P.J. Sullivan and C.-
food web of an estuarine mangrove community. In: L.E. I. Zhang (eds). Proceedings of the International Sym-
Cronin (ed.) Estuarine Research. Vol. 1. New York: posium on Fishery Stock Assessment Models . Alaska
Academic Press, pp. 265–86. Sea Grant College Program Report No. 98-01. Alaska
Opitz, S. (1993) A quantitative model of the trophic Sea Grant, Fairbanks.
interactions in a Caribbean coral reef ecosystem. In: Koslow, J.A. (1997) Seamounts and the ecology of deep
V. Christensen and D. Pauly (eds) Trophic Models of sea fisheries. American Scientists 85 (2), 168–76.
Aquatic Ecosystems . ICLARM Conference Proceed- Laevastu, T. and Larkins, H. (1981) Marine Fisheries
ings 26, pp. 259–67.
Ecosystem: Its Quantitative Evaluation and Manage- Pauly, D. and Christensen, V. (1995) Primary production ment . Farnham, Surrey: Fishing News Books.
required to sustain global fisheries. Nature (374), Larkin, P.A. and Gazey, W. (1982) Application of ecologi-
cal simulation models to management of tropical Pauly, D., Soriano-Bartz, M.L. and Palomares, M.L.D. multispecies fisheries. In: D. Pauly and G.I. Murphy
(1993) Improved construction, parametrization and (eds) Theory and Management of Tropical Fisheries.
interpretation of steady-state ecosystem models. In: ICLARM Conference Proceedings 9, pp. 123–40.
V. Christensen and D. Pauly (eds) Trophic Models of International Center for Living Aquatic Resources
Aquatic Ecosystems . ICLARM Conference Proceed- Management, Manila.
ings, 26, pp. 1–13.
227 Pauly, D., Trites, A., Capuli, E. and Christensen, V.
Ecosystem Models
Thompson, D.W. (translator) (1910) Historia Anima- (1998a) Diet composition and trophic levels of marine
lium , Vol. 4. In: J.A. Smith and W.D. Ross (eds) The mammals. ICES Journal of Marine Science 55, 467–81.
Work of Aristotle . Oxford: Clarendon Press. Pauly, D., Froese, R. and Christensen, V. (1998b) How per-
Tort, P. (ed.) (1996) Dictionnaire du Darwinisme et de vasive is ‘fishing down marine food webs’: response.
L’Evolution . Paris: Presses Universitaires de France. Science 282 (5393), 1383a, 20 November.
Trites, A.W., Livingston, P.A., Mackinson, S., Pauly, D., Christensen, V., Dalsgaard, J., Froese, R. and
Vasconcellos, M.C., Springer, A.M. and Pauly, D. Torres Jr, F.C. (1998c) Fishing down marine food webs.
(1999) Ecosystem changes in and decline of marine Science 279, 860–3.