phenology

Historical tree phenology data across contrasting sites in the Congo Basin

We present a unique dataset of historical tropical tree phenology observations at two sites from different bioclimatic regions across the Congo Basin. These data may provide a reference baseline and key information on how tree species are responding to a changing climate.

Historical tree phenology data across contrasting sites in the Congo Basin

We present a unique dataset of historical tropical tree phenology observations at two sites from different bioclimatic regions across the Congo Basin. These data may provide a reference baseline and key information on how tree species are responding to a changing climate.

Phenology Across Scales: An Intercontinental Analysis of Leaf-Out Dates in Temperate Deciduous Tree Communities

The distributions of intra-community variability of leaf-out were similar in Europe and eastern North American forests, despite the latter being more species-rich and phylogenetically diverse.

Solar radiation triggers bimodal tropical leaf phenology

Including solar radiation increases tropical leaf phenology model accuracy

Solar Radiation Triggers the Bimodal Leaf Phenology of Central African Evergreen Broadleaved Forests

Including solar radiation increases tropical leaf phenology model accuracy

Historical tree phenology data reveal the seasonal rhythms of the Congo Basin rainforest

Overall African tropical leaf phenology is dominated by large and/or abundant trees.

Historical tropical phenology analysis published

African tropical leaf phenology is dominated by large and/or abundant trees

BlueGreen Labs open-source PhenoCam

A drop in replacement for the PhenoCam StarDot cameras

Using long-term data from a whole ecosystem warming experiment to identify best spring and autumn phenology models

The combination of experimental manipulations and multiple years provided the framework to select the best phenology models.

Predicting spring green-up across diverse North American grasslands

Existing models poorly predict the timing of spring green-up in grasslands. New model shows grassland green-up is driven by both precipitation and temperature.