Spatiotemporal Processes of Plant Phenology Simulation and Prediction /

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Chen, Xiaoqiu (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2017.
Σειρά:SpringerBriefs in Geography,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Chen, Xiaoqiu.  |e author. 
245 1 0 |a Spatiotemporal Processes of Plant Phenology  |h [electronic resource] :  |b Simulation and Prediction /  |c by Xiaoqiu Chen. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2017. 
300 |a XIII, 98 p. 40 illus., 13 illus. in color.  |b online resource. 
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490 1 |a SpringerBriefs in Geography,  |x 2211-4165 
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. 
650 0 |a Geography. 
650 0 |a Climate change. 
650 0 |a Physical geography. 
650 0 |a Plant ecology. 
650 1 4 |a Geography. 
650 2 4 |a Physical Geography. 
650 2 4 |a Climate Change/Climate Change Impacts. 
650 2 4 |a Plant Ecology. 
710 2 |a SpringerLink (Online service) 
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776 0 8 |i Printed edition:  |z 9783662498378 
830 0 |a SpringerBriefs in Geography,  |x 2211-4165 
856 4 0 |u http://dx.doi.org/10.1007/978-3-662-49839-2  |z Full Text via HEAL-Link 
912 |a ZDB-2-EES 
950 |a Earth and Environmental Science (Springer-11646)