Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	September 2019
Genre:	Naturwissensch., Medizin, Technik
	Alternative & renewable energy sources & technology / B / Biomedical and Life Sciences / Biometrics / Biometrics (Biology) / Computer Vision / Energy Policy, Economics and Management / Epidemiology & medical statistics / Forestry / Forestry Management / pattern recognition / Probability & statistics / Renewable and Green Energy / Renewable energy resources / Statistics / Statistics for Life Sciences, Medicine, Health Sciences / Statistics in Life Sciences, Medicine, Health Sciences
ISBN:	9783030245276
EAN-Code:	9783030245276
Verlag:	Springer Nature EN
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	805 gr
Seiten:	411
Illustration:	XV, 411 p. 186 illus., 60 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

Model-driven individual-based forest ecology has emerged in the 1990s and has given rise to a wealth of publications. At the same time, individual-based methods in forest management have been refined in a number of different countries and steadily grow in importance. For the first time this book integrates three main fields of forest ecology and management, i.e. tree/plant interactions, biometry of plant growth and human behaviour in forests. Individual-based forest ecology and management is an interdisciplinary research field with a focus on how the individual behaviour of plants contributes to the formation of spatial patterns that evolve through time. Key to this research is a strict bottom-up approach where the shaping and characteristics of plant communities are understood to be mostly the result of interactions between plants and between plants and humans. Written in a highly accessible style, the book provides essential information on theories and concepts of individual-basedforest ecology and management and introduces point process statistics for analysing plant interactions. This is followed by methods of spatial modelling with a focus on individual-based models. The text is complemented by key concepts of modern plant growth science. Finally new methods of measuring, analysing and modelling human interaction with trees in forest ecosystems are introduced and discussed. For better access and understanding, all methods introduced in this book are accompanied by example code ready to use in the statistical software R and by worked examples. Additional technical details are given in three appendices.