Modélisation de la phénologie

Keynote speaker : présentation

• A model of the inter-individual variability of leaf out that predicts frost damage in temperate deciduous tree populations -Jianhong Lin   S7_21_LIN (2).pdf

• Climate change and phenology in the pine processionary moth: stakes of better monitoring and predictions - Mathieu Laparie S7_21_Laparie.pdf

• Does photoperiod affect the olive fruit fly seasonal cycle? Modelling approach - Louisa Leolini  S7_21_Leolini (2).pdf

• Ecodormancy modelling some new clues after nineyears of research - Frank-M. Chmielewski  S7_20_Chmielewski.pdf

• Improving the temporal allocation of ammonia agricultural emissions using fertilization days predicted with in-situ and remote sensed phenology information - Jerry Ge  S7_21_Ge_new.pdf

• Mapping flowering phenology using Species Distribution Models - Jonathan Davies  S7_20_Davies.pdf

• Modelling as a tool for predicting and understanding phenology: A review - Heikki Hänninen  S7_20_Hänninen.pdf

• Modelling budburst response to global warming across Canada - Lorena Balducci  S7_20_Balducci.pdf

• New Developments in Continental-Scale Spring Phenological Modeling - Mark D. Schwartz  S7_20_Schwartz.pdf

• PhenoCaB: a new approach to model spring phenology of boreal conifers - Fabrizio Cartenì  S7_20_Carteni.pdf

• Predicting the phenology of questing Ixodes ricinus nymphs in France with meteorological, bioclimatic, and land cover factors - Phrutsamon Wongnak  S7_21_Wongnak.pdf

• Uncertainties in estimating budburst heat requirement when using local or gridded temperature compared to bud tissue temperature - Marc Peaucelle  S7_20_Peaucelle.pdf

• Use of a multi-species grassland model for analysing the response of phenology to climate change - Thibault Moulin  S7_21_Moulin.pdf