Journal ArticleDOI
Statistical Plant Ecology
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This article is published in Annual Review of Ecology, Evolution, and Systematics.The article was published on 1970-11-01. It has received 86 citations till now. The article focuses on the topics: Applied ecology & Plant ecology.read more
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Journal ArticleDOI
The maintenance of species-richness in plant communities: the importance of the regeneration niche
TL;DR: It is shown that when an individual dies, it may or may not be replaced by an individual of the same species, which is all‐important to the argument presented.
Book ChapterDOI
Bray-curtis ordination: an effective strategy for analysis of multivariate ecological data
TL;DR: This article proposed principal component analysis (PCA), reciprocal averaging, and iterative stress minimization (ISM) techniques to deal with the distortion of the original multivariate data set.
A stationary visual census technique for quantitatively assessing community structure of coral reef fishes
TL;DR: Observations showed that there were no significant differences in total numbers of species or individuals censused when visibility ranged between 8 and 30 m, and community similarity indices were influenced significantly by the specific sampling site and the reef sampled, but were not significantly affected by the habitat or diver.
Application of numerical classification in ecological investigations of water pollution
Abstract: Numerical classification encompasses a variety of techniques for the grouping of entities based on the resemblance of their attributes according to mathematically stated criteria. In ecology this usually involves classific~tion of collections, representing sites or sampling per1ods, or classification of species. Classification can thus simplify patterns of collection resemblance or species distribution patterns in an instructive and efficient manne r. Procedures of numerical classification are thoroughly reviewed, including data manipulations, computation ~f r e semblance measures and clustering methods. The 1mportance and e ffects of transformations and standardizations are di s cussed. It is particularly critical to choose an appropriate resemblance measure which best corresponds with the investigator's concept of ecological resemblance. Clus tering methods form groups on the basis of patter~s of inte r-entity similarity. Various types of clusterlng me thods e xist but currently the most useful and best de veloped are those which are exclusive, intrinsic, . hierarchical and agglomerative. Agglomerative clusterlng me thods which distort spatial relationships and intensely c luster are often most useful with ecological data. The value of post-clustering analyses in the interpretation of the results of numerical classifications is stressed. Thes e include reallocation of misclassified entities, comparison of classifications of collections with thos~ of species (nodal analysis), comparing alternate c~assl fi cations, testing differences among groups, relatlng clas sification to extrinsic environmental factors and i nterfacing classification with other multivariate analyses. The use f ulne ss of numerical classification is demonstrated f or obj ec tive analysis of the data sets resulting from field s urveys and monitoring studies conducted for the assessme nt of effe cts of pollution. However, to date few. pol l ution bio logists have applied the more powerful classlf i catory tec h nique s and post-clustering analyses.
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