Machine learning approach to predict leaf colour change in Fagus sylvatica L. (Spain)

Machine learning models for net photosynthetic rate prediction using poplar leaf phenotype data

(2020) Xiao-Yu Zhang et al.   PLoS One

Increased growing-season productivity drives earlier autumn leaf senescence in temperate trees

(2020) Deborah Zani et al.   SCIENCE

A new process-based model for predicting autumn phenology: How is leaf senescence controlled by photoperiod and temperature coupling?

(2019) Weiguang Lang et al.   AGRICULTURAL AND FOREST METEOROLOGY

Complex network-based time series remote sensing model in monitoring the fall foliage transition date for peak coloration

(2019) Chunyuan Diao   REMOTE SENSING OF ENVIRONMENT

Modelling and mapping beech forest distribution and site productivity under different climate change scenarios in the Cantabrian Range (North-western Spain)

(2019) Javier Castaño-Santamaría et al.   FOREST ECOLOGY AND MANAGEMENT

Predicting autumn phenology: How deciduous tree species respond to weather stressors

(2018) Yingying Xie et al.   AGRICULTURAL AND FOREST METEOROLOGY

Long-term impacts of drought on growth and forest dynamics in a temperate beech-oak-birch forest

(2018) Álvaro Rubio-Cuadrado et al.   AGRICULTURAL AND FOREST METEOROLOGY

Do atmospheric CO2 concentration increase, climate and forest management affect iWUE of common beech? Evidences from carbon isotope analyses in tree rings

(2018) Negar Rezaie et al.   TREE PHYSIOLOGY

WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas

(2017) Stephen E. Fick et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

Comparison of linear and non-linear models for predicting energy expenditure from raw accelerometer data

(2017) Alexander H K Montoye et al.   PHYSIOLOGICAL MEASUREMENT

A random forest guided tour

(2016) Gérard Biau et al.   TEST

European beech responds to climate change with growth decline at lower, and growth increase at higher elevations in the center of its distribution range (SW Germany)

(2016) Choimaa Dulamsuren et al.   TREES-STRUCTURE AND FUNCTION

A random forest guided tour

(2016) Gérard Biau et al.   TEST

The timing of autumn senescence is affected by the timing of spring phenology: implications for predictive models

(2015) Trevor F. Keenan et al.   GLOBAL CHANGE BIOLOGY

Alteration of the phenology of leaf senescence and fall in winter deciduous species by climate change: effects on nutrient proficiency

(2015) Marc Estiarte et al.   GLOBAL CHANGE BIOLOGY

Beware of R2: Simple, Unambiguous Assessment of the Prediction Accuracy of QSAR and QSPR Models

(2015) D. L. J. Alexander et al.   Journal of Chemical Information and Modeling

Machine learning: Trends, perspectives, and prospects

(2015) M. I. Jordan et al.   SCIENCE

Building Predictive Models inRUsing thecaretPackage

(2015) Max Kuhn   Journal of Statistical Software

Evidence of increasing drought severity caused by temperature rise in southern Europe

(2014) Sergio M Vicente-Serrano et al.   Environmental Research Letters

Vulnerability of dynamic genetic conservation units of forest trees in Europe to climate change

(2013) Silvio Schueler et al.   GLOBAL CHANGE BIOLOGY

Predicting Climate Change Impacts on the Amount and Duration of Autumn Colors in a New England Forest

(2013) Marco Archetti et al.   PLoS One

Drought matters – Declining precipitation influences growth of Fagus sylvatica L. and Quercus robur L. in north-eastern Germany

(2011) Tobias Scharnweber et al.   FOREST ECOLOGY AND MANAGEMENT

The behaviour of random forest permutation-based variable importance measures under predictor correlation

(2010) Kristin K Nicodemus et al.   BMC BIOINFORMATICS

Monitoring fall foliage coloration dynamics using time-series satellite data

(2010) Xiaoyang Zhang et al.   REMOTE SENSING OF ENVIRONMENT

Monitoring elevation variations in leaf phenology of deciduous broadleaf forests from SPOT/VEGETATION time-series

(2010) Dominique Guyon et al.   REMOTE SENSING OF ENVIRONMENT

Modelling interannual and spatial variability of leaf senescence for three deciduous tree species in France

(2009) N. Delpierre et al.   AGRICULTURAL AND FOREST METEOROLOGY

Near-surface remote sensing of spatial and temporal variation in canopy phenology

(2009) Andrew D. Richardson et al.   ECOLOGICAL APPLICATIONS

Climate change impacts, adaptive capacity, and vulnerability of European forest ecosystems

(2009) Marcus Lindner et al.   FOREST ECOLOGY AND MANAGEMENT

Responses of canopy duration to temperature changes in four temperate tree species: relative contributions of spring and autumn leaf phenology

(2009) Yann Vitasse et al.   OECOLOGIA

The Control of Autumn Senescence in European Aspen

(2009) Y. Fracheboud et al.   PLANT PHYSIOLOGY

Displaying remotely sensed vegetation dynamics along natural gradients for ecological studies

(2008) P. S. A. Beck et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING