Serial correlation and inter-annual variability in relation to the statistical power of monitoring schemes to detect trends in fish populations

Environmental Monitoring and Assessment

Volumn 125, Issue 1-3, 2007, Pages 247-256

  Nagelkerke, Leopold A J ^a   van Densen, Wim L T ^a  

^a WAGENINGEN UNIVERSITY   (Netherlands)

Author keywords

Bream (Abramis brama); EU Water Framework Directive; Fish monitoring; Netherlands; Sampling variability; Serial correlation; Statistical power; System variability; Trend analysis

Indexed keywords

BIOMASS; MARINE BIOLOGY; MONITORING; NETHERLANDS; SAMPLING;

BREAM (ABRAMIS BRAMA); SAMPLING VARIABILITY; SERIAL CORRELATION; STATISTICAL POWER; SYSTEM VARIABILITY; TREND ANALYSIS;

FISH;

ANNUAL VARIATION; ASSESSMENT METHOD; BIOMASS; EUROPEAN UNION; FISH; LAKE ECOSYSTEM; MONITORING; POPULATION DYNAMICS; POPULATION GROWTH; POPULATION STRUCTURE; STATISTICAL ANALYSIS; TREND ANALYSIS;

ARTICLE; BIOMASS; CORRELATION ANALYSIS; DATA ANALYSIS; ENVIRONMENTAL MONITORING; FISH; MATHEMATICAL ANALYSIS; NETHERLANDS; NONHUMAN; POPULATION RESEARCH; POPULATION STRUCTURE; SAMPLING; SIMULATION; STATISTICAL MODEL; WATER MANAGEMENT; ANIMAL; COMPUTER SIMULATION; GROWTH, DEVELOPMENT AND AGING; METHODOLOGY; POPULATION DENSITY; POPULATION DYNAMICS; REPRODUCIBILITY; STATISTICAL ANALYSIS; STATISTICS;

BENELUX; EURASIA; EUROPE; NETHERLANDS; VELUWEMEER; WESTERN EUROPE;

ABRAMIS BRAMA; HYPEROGLYPHE POROSA;

FRESH WATER;

ANIMALS; BIOMASS; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; ENVIRONMENTAL MONITORING; FISHES; FRESH WATER; MODELS, STATISTICAL; POPULATION DENSITY; POPULATION DYNAMICS; REPRODUCIBILITY OF RESULTS;

EID: 34247586237     PISSN: 01676369     EISSN: 15732959     Source Type: Journal    
DOI: 10.1007/s10661-006-9516-y     Document Type: Article

References (21)

1. Backx, J. J. G. M. (1989). Waarnemingen aan de visstand in het Veluwemeer en Wolderwijd in de periode 1966-1987. Technical Report (in Dutch), Wageningen Agricultural University, Department of Fish Culture and Fisheries, Wageningen, The Netherlands.
2. Buijse, A. D. (1992). Dynamics and exploitation of unstable percid populations (pp. 1-168).Wageningen, The Netherlands: Wageningen Agricultural University.
3. Carey, J. M., & Keough, M. J. (2002). The variability of estimates of variance, and its effect on power analysis in monitoring design. Environmental Monitoring and Assessment, 74 (3), 225-241.
4. De Nie, H. W., & Backx, J. J. G. M. (1994). Interactions between aquatic macrophytes and fish in Lake Veluwe, direct and indirect effects. In W. van Vierssen, M. Hootsmans & J. Vermaat (Eds.), Lake Veluwe, a macrophyte-dominated system under eutrophication stress (pp. 287-295). Dordrecht, The Netherlands: Kluwer.
5. De Wit, C. T., & Goudriaan, J. (1978). Simulation of ecological processes (pp. 1-175). Wageningen, The Netherlands: Pudoc.
6. European Union (2000). Directive 2000/60/EC of the European Parliament and of the Council of 23 October 2000 establishing a framework for Community action in the field of water policy. Official Journal of the European Communities, L327, 1-72.
7. Gerrodette, T. (1987). A power analysis for detecting trends. Ecology, 68, 1364-1372.
8. Gerrodette, T. (1993). 'Program TRENDS', User's guide, Southwest Fisheries Science Centre, La Jolla, California.
9. Karr, J. R. (1981). Assessment of biotic integrity using fish communities. Fisheries, 6, 21-27.
10. Lourens, A. (1996). The fish community structure along a productivity gradient and the influence of year-class strength variation. MS thesis, Wageningen Agricultural University, Department of Fish Culture and Fisheries, Wageningen, The Netherlands.
11. Mous, P. J. (2000). Interactions between fisheries and birds in IJsselmeer, The Netherlands (pp. 1-205). Wageningen, The Netherlands: Wageningen University.
12. Nagelkerke, L. A. J., & van Densen, W. L. T. (2001). The utility of multivariate techniques for the analysis of fish community structures and the design of monitoring programmes. In Proceedings of 'Monitoring Tailor-Made III: International workshop on information for sustainable water management', September 25-28, 2000, Nunspeet, The Netherlands, Institute for Inland Water Management and Waste Water Treatment (RIZA), Lelystad, The Netherlands, pp. 323-332.
13. Neter, J., Kutner, M. H., Nachtsheim, C. J., & Wasserman, W. (1996). Applied linear statistical models (pp. 1-1408). Chicago: Irwin.
14. Pet, J. S., Machiels, M. A. M., & van Densen, W. L. T. (1996). A size-structured simulation model for evaluating management strategies in gillnet fisheries exploiting spatially differentiated populations. Ecological Modelling, 88, 195-214.
15. Peterman, R. M. (1990). Statistical power analysis can improve fisheries research and management. Canadian Journal Fisheries Aquatic Sciences, 47, 2-15.
16. Sheppard, C. R. C. (1999). How large should my sample be? Some quick guides to sample size and the power of tests. Marine Pollution Bulletin, 38, 439-447.
17. Sparre, P., & Venema, S. C. (1998). Introduction to tropical fish stock assessment. Part I: Manual. FAO Fisheries Technical Paper, 306.1, 1-407.
18. STOWA (Organisation for applied water research) (2003). Handboek visstandbemonstering: Voorbereiding, bemonstering, beoordeling (in Dutch) (pp. 1-201). Utrecht, The Netherlands: STOWA.
19. Van Densen, W. L. T. (2001). On the perception of time trends in resource outcome. Its importance in fisheries co-management, agriculture and whaling (pp. 1-299). Enschede, The Netherlands: Twente University.
20. Van Vierssen, W., Hootsmans, M., & Vermaat, J. (1994). Lake Veluwe, a macrophyte-dominated system under eutrophication stress (pp. 1-375). Dordrecht, The Netherlands: Kluwer.
21. Verhallen, J. M., van Dijk, H. W. J., & van Densen, W. L. T. (2001). Administrative capacity to perceive long-term trends in water quality. Consequences for transboundary river management. In Proceedings of 'Monitoring Tailor-Made III: International workshop on information for sustainable water management', September 25-28, 2000, Nunspeet, The Netherlands, Institute for Inland Water Management and Waste Water Treatment (RIZA), Lelystad, The Netherlands, pp. 209-217.