Photographic assessment of temperate forest understory phenology in relation to springtime meteorological drivers

Liang Liang, Mark D. Schwartz, Songlin Fei

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

Abstract

Phenology shows sensitive responses to seasonal changes in atmospheric conditions. Forest understory phenology, in particular, is a crucial component of the forest ecosystem that interacts with meteorological factors, and ecosystem functions such as carbon exchange and nutrient cycling. Quantifying understory phenology is challenging due to the multiplicity of species and heterogeneous spatial distribution. The use of digital photography for assessing forest understory phenology was systematically tested in this study within a temperate forest during spring 2007. Five phenology metrics (phenometrics) were extracted from digital photos using three band algebra and two greenness percentage (image binarization) methods. Phenometrics were compared with a comprehensive suite of concurrent meteorological variables. Results show that greenness percentage cover approaches were relatively robust in capturing forest understory green-up. Derived spring phenology of understory plants responded to accumulated air temperature as anticipated, and with day-to-day changes strongly affected by estimated moisture availability. This study suggests that visible-light photographic assessment is useful for efficient forest understory phenology monitoring and allows more comprehensive data collection in support of ecosystem/land surface models.

Original languageEnglish
Pages (from-to)343-355
Number of pages13
JournalInternational Journal of Biometeorology
Volume56
Issue number2
DOIs
StatePublished - Mar 2012

Bibliographical note

Funding Information:
Acknowledgements Eric Graham provided insight regarding digital photo processing. Danlin Yu provided important advice on data analysis. Geoffrey M. Henebry reviewed the manuscript and offered valuable comments. Yanbing Zheng provided valuable support in statistical analysis. Thomas Barnes helped identifying understory plant species. We also thank the five anonymous reviewers who provided constructive comments. The research was partly supported by a National Science Foundation Doctoral Dissertation Research Improvement Grant, BCS-0703360.

Keywords

  • Digital photography
  • EOS Land Validation Core Sites
  • Forest understory
  • Landscape phenology
  • Temperate forest

ASJC Scopus subject areas

  • Ecology
  • Atmospheric Science
  • Health, Toxicology and Mutagenesis

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