STATISTICAL ECOLOGY

Orlóci, L. 2010. Statistical Ecology. The quantitative exploration of nature to reveal the unexpected. Scada Publishing, London. 398 p. Online Edition distributed by CreateSpace.

ISBN/EAN13: 1453760520 / 9781453760529

Click link for ordering information:  https://createspace.com/3476529 

Orlóci. L. 2011. Flexible Computing in Statistical Ecology. Scada Publishing, London. 138 p. Online Edition distributed by CreateSpace.  

ISBN/EAN13: 1460972953 / 9781460972953

Click link for ordering information: https://createspace.com/3574792

Please order executable (.exe) application programs free of charge from scada.london@gmail.com

Orlóci, L. 2011. Self-organisation and mediated transience in plant communities. Scada Publishing, London. 83 p. Online Edition distributed by CreateSpace. 
  
ISBN/EAN13: 1461028221/978-1461028222.

Click link for ordering information: https://createspace.com/3585127   
 




Orlóci, L. 1978. Multivariate analysis in vegetation research. W. Junk BV, the Hague. 451 p. 

Online availability of electronic file of the corrected edition free of charge is intended to prevent anonymous mining of this classic's contents. Click List of downloadable files in side bar for electronic file and find item 36.



  
 

Alternative ordering sites: Amazon.com, book sellers. How to order from Amazon? - log into Amazon.com, type Laszlo Orloci into the search box, select items and proceed to checkout.

I would like to draw to friends attention the featured books (ISBN/EAN13: 1453760520/ 9781453760529; 1460972953 / 9781460972953;1461028221/978-1461028222) . They are offered for class use and research in ecology and related fields. The contents assume training in community and population ecology, and some familiarity with numerical taxonomy and first year college algebra.The soft cover versions are distributed by CreateSpace. See ordering information above.

Please direct all requests for information to SCADA.LONDON@GMAIL.COM

FURTHER ABOUT THE BOOKS

Statistical Ecology

The book's traverse many problem areas in univariate and multivariate data analysis focussed on current ecological practice. It assumes advanced training in community and population ecology, and familiarity with first year college algebra as prerequisite. No preliminary knowledge of statistics is necessary. The manner of presentation emphasizes reasoned methodological choices and encourages innovations consistent with the objectives, but mindful of the need to see clearly the regularity conditions which set limits for valid application of statistics in Ecology. The main text is accompanied by external appendices including a technical manual, 47 specialized application programs, and many data files taken from the exercises in the main text. The programs are conversational, designed to challenge the user by requiring reasoned choices at different stages as the analysis progresses.

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Flexible Computing in Statistical Ecology 

The Book describes more than 40 executable (.exe) computer programs and presents examples of application which correspond to the same presented in Statistical Ecology*. The programs are flexibly problem specific and conversational. They allow option-driven selective access to specific statistical tasks. Linkages are possible through standard output and input. The description includes in each case a brief introduction, a record of the start up dialogue, and detailed input and output record sets. The source code is in True Basic. The programs are compiled and linked on 32 bit Windows XP system and tested up to Windows 7. The executable program library, data files and a note to users are distributed free of charge to purchasers of the Technical Manual. Requests for download information should be directed to scada.london@gmail.com. Prior to running the application programs, installation of a recent version of True Basic (see Internet for sources) on the user’s system is strongly advised.   

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Self-Organization and Mediated Transience in Plant Communities

Community Ecology has a heavy core of assumptions which have yet to be interconnected on a common base to become parts of a general scientific theory. One of the assumptions is telling us that the assembly of a plant community is governed by rules other than a total reign of chance. The present book argues that the common base is community diversity and that on that basis assembly rules can be identified and expressed in quantitative terms. The proposed solution for quantification is signal theoretical, based on a stochastic model. The model incorporates independent channels for the historic phylogenetic signal, the current environmental signal, and the ubiquitous random effects. The first of the signal triplet modulates self-organisation and promotes community stability. The second mediates transience and fosters instability. And the third captures the level of aimlessness which is the level of signal garbling in the assembly process. What makes the solution optimal and why is solving the problem the way as it is proposed is important? Optimality comes with the triplet’s encapsulation of the assembly rules. This is an asset, because it provides a basis for analytical isolation of the signals in quantitative terms, and through this, for establishing ecological operationality. The Book explains the theoretical implications of the solution and illustrates by data-based example the implementation’s modus operandi in common practice.

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Just for the records at this point I would like to draw attention to the link to my recent essay "Social Progress in America - an Outsider's Impressions".

The featured paper still remains "Biological self-organization and environment mediated transience in plant communities" is a current essay on the modulation of the diversity amplitude in plant communities. The paper discusses a signal theoretical model and the scaling of its component signals from different sources (phylogeny, current environment, random events) based on which the intensity of self-organization and transience can be measured. The example used has lead to the astonishing conclusion: the phylogenetic signal linked with biological self-organization far outweighs in important the current environmental signal linked with the tendency for transience. The conents are updated and expended in the third book under similar title (https://www.createspace.com/358512)

Pressing the Link to trajectory papers downloads a list of recent publications and their URLs. Pressing the Koa link brings up a list of files, of which many can be downloaded. The Blog link connects to a collection of title pages of essays published in different places at different times. Some of the essays address vegetation dynamics directly within the framework of the novel methodology of trajectory analysis. Others deal with aspects of the technical and conceptual tools. A limited number of reprints are available from L. Orlóci (lorloci@uwo.ca).