Staggered nested designs to assess scales of variability: The advantages of a spatially explicit analysis

Environmental Monitoring and Assessment

Volumn 153, Issue 1-4, 2009, Pages 427-434

  Cole, Russell G ^a  

^a NATIONAL INSTITUTE OF WATER AND ATMOSPHERIC RESEARCH   (New Zealand)

Author keywords

Clam; Geostatistics; Scale; Spatial pattern; Staggered nested design

Indexed keywords

CLAM; GEOSTATISTICS; SCALE; SPATIAL PATTERN; STAGGERED NESTED DESIGN;

REGRESSION ANALYSIS;

DESIGN;

ABUNDANCE; ASSESSMENT METHOD; BIVALVE; GEOSTATISTICS; MAPPING; NUMERICAL MODEL; SPATIAL ANALYSIS; SPATIAL VARIATION;

ANALYSIS OF VARIANCE; ARTICLE; CLAM; CONTROLLED STUDY; GEOSTATISTICAL ANALYSIS; INTERTIDAL SPECIES; NESTED ANALYSIS OF VARIANCE; NONHUMAN; POPULATION ABUNDANCE; SAMPLING; STATISTICAL ANALYSIS;

ENVIRONMENTAL MONITORING; SAMPLING STUDIES;

AUSTROVENUS STUCHBURII; BIVALVIA;

EID: 67349223085     PISSN: 01676369     EISSN: 15732959     Source Type: Journal    
DOI: 10.1007/s10661-008-0368-5     Document Type: Article

References (25)

1. Azovsky, A. I., Chertoprood, M. V., Kucheruk, N. V., Rybnikov, P. V. & Sapozhnikov, F. V. (2000). Fractal properties of spatial distribution of intertidal benthic communities. Marine Biology, 136, 581-590.
2. Bainbridge, T. R. (1965). Staggered nested designs for estimating variance components. Industrial Quality Control, 22, 12-20.
3. Cole, R. G. (2001). Staggered nested designs to estimate hierarchical levels of variability. New Zealand Journal of Marine and Freshwater Research, 35(5), 891-896.
4. Cummings, V. J., Pridmore, R. D., Thrush, S. F. & Hewitt, J. E. (1995). Post-settlement movement by intertidal benthic macroinvertebrates: Do common New Zealand species drift in the water column? New Zealand Journal of Marine and Freshwater Research, 29, 59-67.
5. Dobbie, N. J. (1996). Benthic fauna of Pine Harbour Marina. MSc thesis, University of Waikato, New Zealand.
6. Graham, M. H. & Edwards, M. S. (2001). Statistical significance versus fit: Estimating the importance of individual factors in ecological analysis of variance. Oikos, 93, 505-513.
7. Hewitt, J. E., Thrush, S. F., Dayton, P. K. & Bonsdorff, E. (2007). The effect of spatial and temporal heterogeneity on the design and analysis of empirical studies of scale-dependent systems. The American Naturalist, 169, 398-408.
8. Khattree, R. & Naik, D. N. (1995). Statistical tests for random effects in staggered nested designs. Journal of Applied Statistics, 22, 495-505.
9. Khattree, R., Naik, D. N. & Mason, R. L. (1997). Estimation of variance components in staggered nested designs. Journal of Applied Statistics, 24, 395-408.
10. Khuri, A. I. & Sahai, H. (1985). Variance components analysis: A selective literature survey. International Statistical Review, 53, 279-300.
11. Lapointe, L. & Bourget, E. (1999). Influence of substratum heterogeneity scales and complexity on a temperate epibenthic marine community. Marine Ecology Progress Series, 189, 159-170.
12. Legendre, L. & Demers, S. (1984). Towards dynamic biological oceanography and limnology. Canadian Journal of Fisheries and Aquatic Sciences, 41, 2-19.
13. Mac Nally, R. & Quinn, G. P. (1998). Symposium introduction: The importance of scale in ecology. Australian Journal of Ecology, 23, 1-7.
14. McArdle, B. H. & Pawley, M. D. M. (1994). Cost-benefit analysis in the design of biological monitoring programmes: Is it worth the effort? In D. J. Fletcher & B. F. J. Manly (Eds.), Statistics in ecology and environmental monitoring (pp. 239-253). Dunedin: University of Otago Press.
15. Miller, J., Franklin, J. & Aspinall, R. (2007). Incorporating spatial dependence in predictive vegetation models. Ecological Modelling, 202, 225-242.
16. Muller, W. G. & Zimmerman, D. L. (1999). Optimal designs for variogram estimation. Environmetrics, 10, 23-37.
17. Naik, D. N., & Khattree, R. (1998). A computer program to estimate variance components in staggered nested designs. Journal of Quality Technology, 30, 292-297. http://www.stat.unipg.it/pub/stat/statlib/jqt/ 30-3.
18. Nelson, L. S. (1983). Variance estimation using staggered, nested designs. Journal of Quality Technology, 15, 195-198.
19. Ojima, Y. (1998). General formulae for expectations, variances and covariances of the mean squares for staggered nested designs. Journal of Applied Statistics, 25, 785-799.
20. Pettit, A. N. & McBratney, A. B. (1993). Sampling designs for estimating spatial variance components. Applied Statistics, 42, 185-209.
21. +: Geostatistics for the environmental sciences. Plainwell, Michigan USA: Gamma Design Software.
22. Rossi, R. E., Mulla, D. J., Journel, A. G. & Franz, E. H. (1992). Geostatistical tools for modeling and interpreting spatial dependence. Ecological Monographs, 62, 277-314.
23. Thrush, S. F. (1999). Complex role of predators in structuring soft-sediment macrobenthic communities: Implications of changes in spatial scale for experimental studies. Australian Journal of Ecology, 24, 344-354.
24. Underwood, A. J. & Chapman, M. G. (1998). A method for analysing spatial scales of variation in composition of assemblages. Oecologia, 117, 570-578.
25. Underwood, A. J. & Denley, E. J. (1984). Paradigms, explanations and generalizations in models for the structure of intertidal communities on rocky shores. In D. R. Strong, D. Simberloff, L. G. Abele & A. B. Thistle (Eds.), Ecological communities: Conceptual issues and the evidence (pp. 151-180). New Jersey, USA: Princeton University Press.