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  • Methods in Comparative Plant Population Ecology

    Methods in Comparative Plant Population Ecology by Gibson, David;

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    Product details:

    • Edition number 2
    • Publisher OUP Oxford
    • Date of Publication 16 October 2014

    • ISBN 9780199671472
    • Binding Paperback
    • No. of pages320 pages
    • Size 246x195x16 mm
    • Weight 722 g
    • Language English
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    Short description:

    A user-friendly introduction to the methodology of plant population ecology research.

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    Long description:

    The field of plant population ecology has advanced considerably in the last decade since the first edition was published. In particular there have been substantial and ongoing advances in statistics and modelling applications in population ecology, as well as an explosion of new techniques reflecting the availability of new technologies (e.g. affordable and accurate Global Positioning Systems) and advances in molecular biology. This new edition has been updated and revised with more recent examples replacing older ones where appropriate. The book's trademark question-driven approach has been maintained and some important topics such as the metapopulation concept which are missing entirely from the current edition are now included throughout the text.

    Overall, this volume covers a huge amount of ground from planning and undertaking population research through to analysis and modeling. The text has been brought right up to date and continues to provide students (and more established researchers) with an essential reference on the doing of plant population ecology research.

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    Table of Contents:

    Part 1 What is plant population ecology?
    Scope of plant population ecology
    Part 2 Planning the study
    The question and approach
    Basic considerations in experimental design
    Part 3 Doing the study
    Experimental treatments
    Measuring individual and population parameters
    Abiotic and biotic measurements of a plant's environment
    Planning, choosing, and using statistics
    Advanced statistical techniques: Spatial patterns, life tables, modelling and population viability analysis

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