04657nam 22006735 450 991034944350332120200702004907.09783030245283303024528410.1007/978-3-030-24528-3(CKB)4100000009362569(DE-He213)978-3-030-24528-3(MiAaPQ)EBC5925312(PPN)260303720(MiAaPQ)EBC31886885(Au-PeEL)EBL31886885(OCoLC)1121480494(EXLCZ)99410000000936256920190917d2019 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierIndividual-based Methods in Forest Ecology and Management /by Arne Pommerening, Pavel Grabarnik1st ed. 2019.Cham :Springer International Publishing :Imprint: Springer,2019.1 online resource (XV, 411 p. 186 illus., 60 illus. in color.) 9783030245276 3030245276 Foreword; Dan Binkley -- Preface -- Acknowledgements -- 1. Introduction -- 2. Theories and concepts in individual-based forest ecology -- 3. Theories and concepts in individual-based forest management -- 4. Spatial methods of tree interaction analysis -- 5. Spatial and individual-based modelling -- 6. Principles of relative growth analysis -- 7. Human disturbances and tree selection behavior -- A. Qualitative forest description -- B. Survey protocol for the establishment of permanent forest research plots -- C. Brief Introduction to the R language -- References -- Index. .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-based forest 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.Forest managementBiometryStatisticsRenewable energy resourcesForestry Managementhttps://scigraph.springernature.com/ontologies/product-market-codes/L22016Biometricshttps://scigraph.springernature.com/ontologies/product-market-codes/I22040Statistics for Life Sciences, Medicine, Health Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/S17030Renewable and Green Energyhttps://scigraph.springernature.com/ontologies/product-market-codes/111000Forest management.Biometry.Statistics.Renewable energy resources.Forestry Management.Biometrics.Statistics for Life Sciences, Medicine, Health Sciences.Renewable and Green Energy.577.3577.3Pommerening Arneauthttp://id.loc.gov/vocabulary/relators/aut971576Grabarnik Pavelauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910349443503321Individual-based Methods in Forest Ecology and Management2280556UNINA