Individual Tree Diameter Growth Models of Larch–Spruce–Fir Mixed Forests Based on Machine Learning Algorithms

Modelling daily dissolved oxygen concentration using least square support vector machine, multivariate adaptive regression splines and M5 model tree

(2018) Salim Heddam et al.   JOURNAL OF HYDROLOGY

A machine learning approach to the accurate prediction of monitor units for a compact proton machine

(2018) Baozhou Sun et al.   MEDICAL PHYSICS

Prognoses of diameter and height of trees of eucalyptus using artificial intelligence

(2018) Giovanni Correia Vieira et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Interspecific variation in growth responses to tree size, competition and climate of western Canadian boreal mixed forests

(2018) Xinyu Jiang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Effects of Competition, Drought Stress and Photosynthetic Productivity on the Radial Growth of White Spruce in Western Canada

(2017) Syed A. Alam et al.   Frontiers in Plant Science

Random forests and stochastic gradient boosting for predicting tree canopy cover: comparing tuning processes and model performance

(2016) Elizabeth A. Freeman et al.   CANADIAN JOURNAL OF FOREST RESEARCH

Comparison of boosted regression tree and random forest models for mapping topsoil organic carbon concentration in an alpine ecosystem

(2016) Ren-Min Yang et al.   ECOLOGICAL INDICATORS

A climate-sensitive empirical growth and yield model for forest management planning of even-aged beech stands

(2016) Antoni Trasobares et al.   EUROPEAN JOURNAL OF FOREST RESEARCH

Spatial prediction of demersal fish diversity in the Baltic Sea: comparison of machine learning and regression-based techniques

(2016) Szymon Smoliński et al.   ICES JOURNAL OF MARINE SCIENCE

Spatial Heterogeneity of Climate Change Effects on Dominant Height of Larch Plantations in Northern and Northeastern China

(2016) Hao Zang et al.   Forests

Dominant forest tree species are potentially vulnerable to climate change over large portions of their range even at high latitudes

(2016) Catherine Périé et al.   PeerJ

Disentangling the effects of competition and climate on individual tree growth: A retrospective and dynamic approach in Scots pine

(2015) Raúl Sánchez-Salguero et al.   FOREST ECOLOGY AND MANAGEMENT

Uncertainty analysis of gross primary production upscaling using Random Forests, remote sensing and eddy covariance data

(2015) Gianluca Tramontana et al.   REMOTE SENSING OF ENVIRONMENT

Nonlinear Simultaneous Equations for Individual-Tree Diameter Growth and Mortality Model of Natural Mongolian Oak Forests in Northeast China

(2015) Wu Ma et al.   Forests

Effect of spatial sampling from European flux towers for estimating carbon and water fluxes with artificial neural networks

(2015) Dario Papale et al.   Journal of Geophysical Research-Biogeosciences

Detection of independent associations in a large epidemiologic dataset: a comparison of random forests, boosted regression trees, conventional and penalized logistic regression for identifying independent factors associated with H1N1pdm influenza infections

(2014) Yohann Mansiaux et al.   BMC Medical Research Methodology

Integrating biophysical controls in forest growth and yield predictions with artificial intelligence technology

(2013) M. Irfan Ashraf et al.   CANADIAN JOURNAL OF FOREST RESEARCH

Support vector machines to map rare and endangered native plants in Pacific islands forests

(2012) Robin Pouteau et al.   Ecological Informatics

Climate-diameter growth relationships of black spruce and jack pine trees in boreal Ontario, Canada

(2012) Nirmal Subedi et al.   GLOBAL CHANGE BIOLOGY

Regional Models of Diameter as a Function of Individual Tree Attributes, Climate and Site Characteristics for Six Major Tree Species in Alberta, Canada

(2011) Francesco Cortini et al.   Forests

Comparison and ranking of different modelling techniques for prediction of site index in Mediterranean mountain forests

(2010) Wim Aertsen et al.   ECOLOGICAL MODELLING

Relationships between climate and tree radial growth in interior British Columbia, Canada

(2010) Yueh-Hsin Lo et al.   FOREST ECOLOGY AND MANAGEMENT

An individual-tree diameter growth model for managed uneven-aged oak-shortleaf pine stands in the Ozark Highlands of Missouri, USA

(2010) John M. Lhotka et al.   FOREST ECOLOGY AND MANAGEMENT

Climate is a stronger driver of tree and forest growth rates than soil and disturbance

(2010) Marisol Toledo et al.   JOURNAL OF ECOLOGY

A working guide to boosted regression trees

(2008) J. Elith et al.   JOURNAL OF ANIMAL ECOLOGY

Individual-tree diameter growth model for rebollo oak (Quercus pyrenaica Willd.) coppices

(2007) Patricia Adame et al.   FOREST ECOLOGY AND MANAGEMENT