Ecological Statistics: Contemporary theory and application

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Higgs, BioScience. Gordon Fox received his Ph.

Ecological Statistics

His research involves theoretical issues in ecology and population biology, and empirical studies of plant populations. He teaches at both the graduate and undergraduate levels, and supervises M. He is co-author with J. Gurevitch and S. Scheiner of the textbook The Ecology of Plants, and co-editor with C. Kelly and M. She works on issues related to the temporal and spatial dimensions of disturbance in tropical agroecosystems. She coordinates and participates in research projects related to the long term effects of human disturbance on soil biota, fertility and functioning in the tropics.

She teaches statistics courses for graduate students on linear models, spatial statistics, and multivariate statistics, and supervises M. Vinicio J. Sosa received his Ph. Sosa has extensive experience in applied ecological problems, especially on environmental impacts of infrastructure development.

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His current research focuses on the effect of landscape fragmentation on flying vertebrate communities, and on mutualistic relationships between columnar cacti and bats. He is associate editor of Acta Zoologica Mexicana. Convert currency. Add to Basket. Condition: New. Seller Inventory More information about this seller Contact this seller. Brand new book, sourced directly from publisher.

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Ecological Statistics: Contemporary theory and application

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On application of non—extensive statistical mechanics to studying ecological diversity

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  • Some directions in ecological theory - Kendall - - Ecology - Wiley Online Library.
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Synopsis The application and interpretation of statistics are central to ecological study and practice. Ecologists are now asking more sophisticated questions than in the past. These new questions, together with the continued growth of computing power and the availability of new software, have created a new generation of statistical techniques.

These have resulted in major recent developments in both our understanding and practice of ecological statistics. These issues characterize a large proportion of ecological data, but most ecologists' training in traditional statistics simply does not provide them with adequate preparation to handle the associated challenges.