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Spatial pattern analysis in plant ec...

Dale, Mark R. T. (1951-)

Spatial pattern analysis in plant ecology /

レコード種別:	言語・文字資料 (印刷物) : 単行資料
[NT 15000414] null:	581.7/07/27
タイトル / 著者:	Spatial pattern analysis in plant ecology // Mark R.T. Dale.
著者:	Dale, Mark R. T.
記述:	1 online resource (x, 326 pages) : : digital, PDF file(s).
注記:	Title from publisher's bibliographic system (viewed on 05 Oct 2015).
主題:	Plant ecology - Statistical methods.
主題:	Spatial analysis (Statistics)
国際標準図書番号 (ISBN) :	9780511612589 (ebook)
[NT 15000229] null:	The predictability of the physical arrangement of plants, at whatever scale it is viewed, is referred to as their spatial pattern. Spatial pattern is a crucial aspect of vegetation which has important implications not only for the plants themselves, but also for other organisms which interact with plants, such as herbivores and pollinators, or those animals for which plants provide a habitat. This book describes and evaluates methods for detecting and quantifying a variety of characteristics of spatial pattern. As well as discussing the concepts on which these techniques are based, examples from real field studies and worked examples are included, which, together with numerous line figures, help guide the reader through the text. The result is a book that will be of value to graduate students and research workers in the fields of vegetation science, conservation biology and applied ecology.
電子資源:	http://dx.doi.org/10.1017/CBO9780511612589

Spatial pattern analysis in plant ecology /
Dale, Mark R. T.1951-

Spatial pattern analysis in plant ecology /Mark R.T. Dale. - 1 online resource (x, 326 pages) :digital, PDF file(s). - Cambridge studies in ecology. - Cambridge studies in ecology..

Title from publisher's bibliographic system (viewed on 05 Oct 2015).

The predictability of the physical arrangement of plants, at whatever scale it is viewed, is referred to as their spatial pattern. Spatial pattern is a crucial aspect of vegetation which has important implications not only for the plants themselves, but also for other organisms which interact with plants, such as herbivores and pollinators, or those animals for which plants provide a habitat. This book describes and evaluates methods for detecting and quantifying a variety of characteristics of spatial pattern. As well as discussing the concepts on which these techniques are based, examples from real field studies and worked examples are included, which, together with numerous line figures, help guide the reader through the text. The result is a book that will be of value to graduate students and research workers in the fields of vegetation science, conservation biology and applied ecology.

ISBN: 9780511612589 (ebook)Subjects--Topical Terms:

642326
Plant ecology
--Statistical methods.

LC Class. No.: QK901 / .D27 1999

Dewey Class. No.: 581.7/07/27

Spatial pattern analysis in plant ecology /
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500 $a Title from publisher's bibliographic system (viewed on 05 Oct 2015).
520 $a The predictability of the physical arrangement of plants, at whatever scale it is viewed, is referred to as their spatial pattern. Spatial pattern is a crucial aspect of vegetation which has important implications not only for the plants themselves, but also for other organisms which interact with plants, such as herbivores and pollinators, or those animals for which plants provide a habitat. This book describes and evaluates methods for detecting and quantifying a variety of characteristics of spatial pattern. As well as discussing the concepts on which these techniques are based, examples from real field studies and worked examples are included, which, together with numerous line figures, help guide the reader through the text. The result is a book that will be of value to graduate students and research workers in the fields of vegetation science, conservation biology and applied ecology.
650 0 $a Plant ecology $x Statistical methods. $3 642326
650 0 $a Spatial analysis (Statistics) $3 435535
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830 0 $a Cambridge studies in ecology. $3 642325
856 4 0 $u http://dx.doi.org/10.1017/CBO9780511612589

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