Skip to main content
SpringerLink
Log in

Spatiotemporal Processes of Plant Phenology

Simulation and Prediction

  • Book
  • © 2017

Overview

Authors:
  1. Xiaoqiu Chen

    1. College of Urban and Environmental Sciences, Peking University, Beijing, China

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • Summarizes the importance of plant phenology for identifying natural landscape dynamics
  • Proposes basic concepts on temporal and spatial patterns of plant phenology
  • Explores the coupling effect of spatiotemporal variation of plant phenology
  • Establishes statistical and process-based models for simulating and predicting spatiotemporal variation of plant phenology and remote sensing phenology in China
  • Validates spatiotemporal variations of remote sensing phenology based on ground-based phenology in China
  • Includes supplementary material: sn.pub/extras

Part of the book series: SpringerBriefs in Geography (BRIEFSGEOGRAPHY)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (9 chapters)

  1. Front Matter

    Pages i-xiii
    Download chapter PDF

  2. Plant Phenology of Natural Landscape Dynamics

    • Xiaoqiu Chen
    Pages 1-5

  3. Temporal Rhythmicity of Plant Phenology

    • Xiaoqiu Chen
    Pages 7-15

  4. Spatial Pattern of Plant Phenology

    • Xiaoqiu Chen
    Pages 17-21

  5. Statistical Simulation of Plant Phenology Temporal Variation

    • Xiaoqiu Chen
    Pages 23-33

  6. Statistical Simulation of Plant Phenology Spatial Variation

    • Xiaoqiu Chen
    Pages 35-44

  7. Process-Based Simulation and Prediction of Plant Phenology Spatiotemporal Variations

    • Xiaoqiu Chen
    Pages 45-66

  8. Spatial and Temporal Validation of Remote Sensing Phenology

    • Xiaoqiu Chen
    Pages 67-80

  9. Process-Based Spatiotemporal Simulation and Prediction of Remote Sensing Phenology

    • Xiaoqiu Chen
    Pages 81-90

  10. Spatiotemporal Coupling Effects of Plant Phenology

    • Xiaoqiu Chen
    Pages 91-96

  11. Back Matter

    Pages 97-98
    Download chapter PDF
Back to top

Keywords

About this book

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.

Authors and Affiliations

  • College of Urban and Environmental Sciences, Peking University, Beijing, China

    Xiaoqiu Chen

About the author

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.

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation