CL2.8

Phenology and seasonality in climate change

CL2.8

Phenology and seasonality in climate change

Convener: Helfried Scheifinger | Co-conveners: Iñaki Garcia de Cortazar-Atauri, Marie Keatley, Christina Koppe, Yann Vitasse

vPICO presentations

| Wed, 28 Apr, 14:15–17:00 (CEST)

vPICO presentations: Wed, 28 Apr

Chairperson: Iñaki Garcia de Cortazar-Atauri

14:15–14:20

5-minute convener introduction

plant physiology, phenological modelling, phenology and climate

EGU21-9937

ECS

solicited

The effect of growing-season productivity on autumn phenology in temperate trees

Constantin Zohner

EGU21-16132

ECS

The penalty of spring frost damages from earliest to latest possible leaf-out timings in temperate forest trees

Frederik Baumgarten et al.

EGU21-5

ECS

Phenology studies need to account for tissue temperature, not air

Marc Peaucelle et al.

EGU21-6761

ECS

If you work with phenology, you work with bud cold hardiness dynamics

Al Kovaleski and Jason Londo

EGU21-8272

ECS

Where do the buds get their water from during budburst? New perspectives from temperate forest species using water stable isotopes

Paula Martín Gómez et al.

EGU21-15904

ECS

Isotopically labelled water - A valuable tracer to track initiation and progress of bud dormancy in temperate trees

Manuel Gabriel Walde et al.

EGU21-6849

ECS

Winter leaf reddening phenomenon: the long-term track of PRI and phenological changes in a temperate Japanese cypress forest at Kiryu Japan.

Siyu Chen et al.

EGU21-671

Grapevine Phenology in Four Portuguese Wine Regions: Modeling and Predictions

Samuel Reis et al.

14:44–15:00

Meet the authors in their breakout text chats

Chairpersons: Marie Keatley, Yann Vitasse

EGU21-5689

The shifting of climate types: manifestation to phenology and ecosystems structure

Gunta Kalvāne et al.

EGU21-10272

Development of a new phenological model based on the carbon balance of tree in boreal conifers

Annie Deslauriers et al.

EGU21-12430

ECS

Calibration of LgrassFlo, a new model of perennial grass phenology in response to temperature and photoperiod.

Simon Rouet et al.

EGU21-10298

False Spring over Europe: risk and uncertainties

Raul Zurita-Milla et al.

EGU21-12512

Dry days, associated temperature anomalies and inter-annual variations in spring phenology

Pierluigi Calanca

EGU21-2179

ECS

PEP725 a European phenological database

Hans Ressl et al.

EGU21-16335

ECS

Climate change in the vineyard: perspectives for pest species in the region of Neuchatel

Léonard Schneider et al.

Pollen

EGU21-1103

Modelling the spatial distribution of four decades of airborne birch pollen levels in Belgium using remotely sensed birch fraction maps

Willem Verstraeten et al.

EGU21-2204

The role of land cover, land use, and atmospheric transport for the mismatch of flowering and atmospheric pollen seasonality

Annette Menzel and Ye Yuan

EGU21-9184

ECS

Investigations on spatial and vertical variations of airborne pollen in Sydney, Australia

Johanna Jetschni et al.

EGU21-15034

Phenological phases of pollination related to climate change

Samuel Monnier et al.

Remote Sensing

EGU21-3087

solicited

Comparing in situ phenology and remotely derived phenometrics across ecosystems

Alison Donnelly et al.

EGU21-8038

ECS

Monitoring deciduous tree phenology estimates with Sentinel-2, phenocam and field measurements in Ireland

Gourav Misra et al.

EGU21-8330

ECS

Vegetation indices as a proxy for spatio-temporal variations in water availability in the semi-arid Rio Santa valley (Callejón de Huaylas, Peru)

Lorenz Hänchen et al.

EGU21-10584

ECS

Global remotely sensed phenology of Blue-Green Ecosystems

Jelle Lever et al.

EGU21-12359

ECS

Mapping vegetation variables in Google Earth Engine using Gaussian Process Regression models.

Matías Salinero Delgado et al.

EGU21-12437

ECS

Crop phenology monitoring from Landsat 8 and Sentinel-2 green LAI time series at the Nile Delta

Eatidal Amin et al.

EGU21-12576

Near-Ground-Based Optical Plant Phenology Measurements at China Ecological Meteorology Sites

Dasheng Yang et al.

EGU21-14322

ECS

Gaussian Process Regression hyperparameter optimization for image time series gap-filling of Earth observation data and crop monitoring

Santiago Belda et al.

16:16–17:00

Meet the authors in their breakout text chats