Spatiotemporal Processes of Plant Phenology Simulation and Prediction / by Xiaoqiu Chen.

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 co...

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Bibliographic Details
Main Author: Chen, Xiaoqiu (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Series:SpringerBriefs in Geography,
Springer eBook Collection.
Subjects:
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.

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505 0 |a 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. 
520 |a 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. 
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