• Detecting change-point, trend, and seasonality in satellite time series data to track abrupt changes and nonlinear dynamics: A Bayesian ensemble algorithm 

      Zhao, Kaiguang; Wulder, Michael A.; Hu, Tongxi; Bright, Ryan M.; Wu, Qiusheng; Qin, Haiming; Li, Yang; Toman, Elizabeth; Mallick, Bani; Zhang, Xuesong; Brown, Molly (Peer reviewed; Journal article, 2019-10)
      Satellite time-series data are bolstering global change research, but their use to elucidate land changes and vegetation dynamics is sensitive to algorithmic choices. Different algorithms often give inconsistent or sometimes ...
    • Explaining European fungal fruiting phenology with climate variability 

      Andrew, Carrie Joy; Heegaard, Einar; Høiland, Klaus; Senn-Irlet, Beatrice; Kuyper, Thomas W.; Krisai-Greilhuber, Irmgard; Kirk, Paul M.; Heilmann-Clausen, Jacob; Gange, Alan C.; Egli, Simon; Bässler, Claus; Büntgen, Ulf; Boddy, Lynne; Kauserud, Håvard (Journal article; Peer reviewed, 2018-04-14)
      Here we assess the impact of geographically dependent (latitude, longitude, and alti-tude) changes in bioclimatic (temperature, precipitation, and primary productivity) variability on fun-gal fruiting phenology across ...