title: Photographic assessment of temperate forest understory phenology in relation to springtime meteorological drivers.
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.
authors.affiliation: Department of Forestry, University of Kentucky, Lexington, KY 40546-0073, USA. liang.liang@uky.edu
authors.forename: Liang
authors.initials: L
authors.lastname: Liang
authors.forename: Mark D
authors.initials: MD
authors.lastname: Schwartz
authors.forename: Songlin
authors.initials: S
authors.lastname: Fei
mesh_terms: D017753:Ecosystem; D007091:Image Processing, Computer-Assisted; D016014:Linear Models; D010781:Photography; D063245:Plant Development; D012621:Seasons; D014197:Trees; D014887:Weather; D014922:Wisconsin