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3.1 Cluster analysis
The previous chapter has shown how to replace the original data matrix with pairwise similarities...
2.6 More on resemblance measures
On the grounds that it is better to walk before you try running, discussion of comparisons betwee...
2.3 Presence/absence data
As discussed at the beginning of this chapter, quantitative uncertainty may make it desirable to ...
1.8 Example: Nutrient enrichment experiment, Solbergstrand
Table 1.7. Nutrient enrichment experiment, Solbergstrand mesocosm, Norway {N}. Meiofaunal abund...
1.5 Example: Loch Linnhe macrofauna
Table 1.4. Loch Linnhe macrofauna {L}. Abundance/biomass matrix (part only); one (pooled) set o...
1.4 Distributional techniques
Table 1.3. Distributional techniques. Summary of analyses for the four stages. A less condense...
18.5 Example: Fal estuary macrofauna
The soft-sediment macrobenthic communities from five creeks of the Fal estuary, SW England, {f} w...
18.1 Means plots
Several examples have been seen in previous chapters of the advantages of viewing ordination plot...
17.8 Variation in taxonomic distinctness, $\Lambda ^ +$
VarTD was defined in equation (17.7), as the variance of the taxonomic distances {$\omega _ {ij}$...
17.3 Examples: Ekofisk oil-field and Tees Bay soft-sediment macrobenthos
The earlier Fig. 14.4 demonstrated a change in the sediment macrofaunal communities around the Ek...
17.1 Species richness disadvantages
Chapter 8 discussed a range of diversity indices based on species richness and the species abunda...
16.8 Example: Algal recolonisation, Calafuria
An example of this type (though not a classic BACI situation) is given by , for a study by . Sub-...
16.3 Example: Amoco-Cadiz oil spill
Applying this (BVStep) procedure to the 125-species set from the Bay of Morlaix, a smallest subse...
16.1 Introduction
To motivate the first method of this chapter look again at the analysis of macrobenthic samples f...
15.5 Model matrices & ‘RELATE’ tests
The form of the seriation statistic is simply a matrix correlation coefficient (e.g. equation 11....
15.1 Introduction
We have seen in Chapter 14 that multivariate methods of analysis are very sensitive for detecting...
14.4 General conclusions and recommendations
General conclusions Three general conclusions emerge from these examples: The similarity in com...
14.2 Examples 1, 2 and 3
Example 1: Macrobenthos from Frierfjord/Langesundfjord, Norway As part of the GEEP/IOC Oslo Works...
14.1 Introduction
Two communities with a completely different taxonomic composition may have identical univariate o...
13.5 Attributes and recommendations
Attributes Species abundance data are by far the most commonly used in environmental impact studi...