Responses of tree species to heat waves and extreme heat events
نویسندگان
چکیده
منابع مشابه
Editorial: Studying Tree Responses to Extreme Events
Department of Geography and Geosciences, Institute of Geography, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany, 2 Thünen Institute of Forest Ecosystems, Eberswalde, Germany, Departamento de Ciências da Vida, Faculdade de Ciências e Tecnologia, Centro de Ecologia Funcional, Universidade de Coimbra, Coimbra, Portugal, Département des Sciences Fondamentales, Université du Qu...
متن کاملClimate change and extreme heat events.
The association between climate change and the frequency and intensity of extreme heat events is now well established. General circulation models of climate change predict that heatwaves will become more frequent and intense, especially in the higher latitudes, affecting large metropolitan areas that are not well adapted to them. Exposure to extreme heat is already a significant public health p...
متن کاملlimate Change and Extreme Heat Events
bstract: The association between climate change and the frequency and intensity of extreme heat events is now well established. General circulation models of climate change predict that heatwaves will become more frequent and intense, especially in the higher latitudes, affecting large metropolitan areas that are not well adapted to them. Exposure to extreme heat is already a significant public...
متن کاملExtreme heat events--a community calamity.
a growing global concern that teeming millions might be at greater risk of death, disease and disability due to extreme heat events in the tropics and other regions. It has been estimated that about 48 million people were affected in Asia during the year 2008, due to climatological, geophysical, hydrological and meteorological events. Despite projection of changing climate and occurrence of inc...
متن کاملBayesian Changepoint Analysis for Extreme Events (Typhoons, Heavy Rainfall, and Heat Waves): An RJMCMC Approach
A hierarchical Bayesian framework is developed to identify multiple abrupt regime shifts in an extreme event series. Specifically, extreme events are modeled as a Poisson process with a gamma-distributed rate. Multiple candidate hypotheses are considered, under each of which there presumably exist a certain number of abrupt shifts of the rate. A Bayesian network involving three layers—data, par...
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ژورنال
عنوان ژورنال: Plant, Cell & Environment
سال: 2014
ISSN: 0140-7791
DOI: 10.1111/pce.12417