Quantitative and Dynamic Plant Ecology


Book Description

The description of vegetation; Sampling, tests of comparison, application of quadrat measures; Vegetation change. Plant succesion and the climax; Cyclic vegetation change; The causal factors of positive and negative association between species; Plant population dynamics; The poisson series and the detection of non-randomness; The causal factors of pattern; The detection of natural groupings of species: classification methods; Ordination methods I; Ordination methods II - The limitations of component analysis as an ordination technique; Ordination methods III - Reciprocal averaging, detrended correspondence analysis and TWINSPAN.




Quantitative and Dynamic Plant Ecology


Book Description

The description of vegetation. Sampling, tests of comparison and application of quadrat measures. Vegetational change. Plant sucsession and the climax. Cyclic vegetation change. Correlation and the causal factors of positive and negative association between species. Plant population dynamics. The poisson series and the detection of non-randomness. The causal factors of pattern. The detection of natural groupings of species: classification methods. Ordination methods. Digital computers and ecology. Computer simulation studies.




Quantitative Plant Ecology


Book Description
















Quantitative Analysis of Ecological Networks


Book Description

Network thinking and network analysis are rapidly expanding features of ecological research. Network analysis of ecological systems include representations and modelling of the interactions in an ecosystem, in which species or factors are joined by pairwise connections. This book provides an overview of ecological network analysis including generating processes, the relationship between structure and dynamic function, and statistics and models for these networks. Starting with a general introduction to the composition of networks and their characteristics, it includes details on such topics as measures of network complexity, applications of spectral graph theory, how best to include indirect species interactions, and multilayer, multiplex and multilevel networks. Graduate students and researchers who want to develop and understand ecological networks in their research will find this volume inspiring and helpful. Detailed guidance to those already working in network ecology but looking for advice is also included.