Xiaojun Geng

TL;DR: Daylength correlates negatively with the heat requirement for leaf-out in all studied species, providing the first large-scale empirical evidence of a widespread daylength effect on the temperature sensitivity of leaf- out phenology in temperate deciduous trees.

TL;DR: Wang et al. as mentioned in this paper extracted start of season (SOS) dates using five standard methods from satellite-derived Normalized Difference Vegetation Index (NDVI) data in temperate China from 1982 to 2015 and explored the spatio-temporal variation in vegetation growth and its linkages to spring phenology and climatic factors.

TL;DR: A photoperiod- and temperature-manipulation experiment in climate chambers on two common deciduous species in Europe found that the warming significantly advanced the leaf-out dates for beech and horse chestnut saplings, respectively, and shorterPhotoperiod significantly reduced the temperature sensitivity of beech only by substantially increasing the heat requirement to avoid leafing-out too early.

TL;DR: In this paper, the authors summarized the drivers of plant phenology and overviewed the development of plant Phenology models and highlighted that coupling machine learning and Bayesian calibration into process-based models could be a potential approach to improve the accuracy of phenology simulation and prediction under future global change conditions.

TL;DR: In this article, the authors used satellite-derived normalized difference vegetation index (NDVI) data to determine the primary factor regulating spring phenology using partial correlation analysis and found that the change in the primary driver was attributed mainly to significant increases in preseason precipitation.