Spatiotemporal Processes of Plant Phenology

Simulation and Prediction

Xiaoqiu Chen (Autor)

Buch | Softcover

XIII, 98 Seiten

2016 | 1st ed. 2017
Springer Berlin (Verlag)
978-3-662-49837-8 (ISBN)

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This book deals with phenology, the study of recurring biological life cycle stages, and especially their timing and relationships with biotic and abiotic forces. Given the theoretical and methodological innovations involved, the chapters on defining spatiotemporal patterns of plant phenology and constructing daily temperature-based temporal/spatial models and process-based regional unified models will be of particular interest. Helping readers discover and explore plant phenology's perspectives in terms of spatiotemporal patterns, processes and mechanisms, the book will also equip young scientists and graduate students to understand the causes of spatiotemporal variation in vegetation seasonality.

Professor Dr. Xiaoqiu Chen has been engaged in plant phenological observation and research in China for 35 years. His current research focuses on simulating and predicting spatial/temporal variation of vegetation phenology and its response to global climate change. He got Scientific and Technological Progress Award of Beijing City in 1997 and the Top Teacher Award of Higher Education Institution of Beijing City in 2009. He also serves as Co-Chair of Phenology Commission of International Society of Biometeorology since 2011 and Editorial Advisory Board Member of International Journal of Biometeorology since 2012.

Plant Phenology of Natural Landscape Dynamics.- Temporal Pattern of Plant Phenology.- Spatial Pattern of Plant Phenology.- Coupling Effect of Spatiotemporal Variation of Plant Phenology.- Statistical Simulation of Temporal Variation of Plant Phenology.- Statistical Simulation of Spatial Variation of Plant Phenology.- Process-based Simulation and Prediction of Spatiotemporal Variation of Plant Phenology.- Spatiotemporal Validation of Remote Sensing Phenology.- Process-based Spatiotemporal Simulation and Prediction of Remote Sensing Phenology.- Conclusions.

Erscheinungsdatum	02.12.2016
Reihe/Serie	SpringerBriefs in Geography
Zusatzinfo	XIII, 98 p. 40 illus., 13 illus. in color.
Verlagsort	Berlin
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Naturwissenschaften ► Biologie ► Botanik
	Naturwissenschaften ► Biologie ► Ökologie / Naturschutz
	Naturwissenschaften ► Geowissenschaften ► Geografie / Kartografie
	Naturwissenschaften ► Geowissenschaften ► Meteorologie / Klimatologie
Schlagworte	Climate Change/Climate Change Impacts • Climate change impacts • Climate Change Plants • Coupling Effect of Spatiotemporal Variation • Daily Mean Temperature-based Phenology Models • Earth and Environmental Science • physical geography • plant ecology • Plant Phenology • Process-based Phenology Model • Simulation and Prediction • Spatial Pattern • Spatiotemporal Validation of Remote Sensing Phenol • Spatiotemporal Validation of Remote Sensing Phenology • Temporal Pttern
ISBN-10	3-662-49837-5 / 3662498375
ISBN-13	978-3-662-49837-8 / 9783662498378
Zustand	Neuware