Large‐scale early‐wilting response of Central European forests to the 2018 extreme drought
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C. Ginzler | M. Zappa | N. Zimmermann | W. Thuiller | A. Psomas | P. Brun
[1] A. Rigling,et al. A first assessment of the impact of the extreme 2018 summer drought on Central European forests , 2020, Basic and Applied Ecology.
[2] A. Rammig,et al. Quantifying impacts of the 2018 drought on European ecosystems in comparison to 2003 , 2019, Biogeosciences.
[3] R. Garcia-Herrera,et al. The European 2016/17 Drought , 2019, Journal of Climate.
[4] L. Anderegg,et al. Testing early warning metrics for drought‐induced tree physiological stress and mortality , 2019, Global change biology.
[5] G. Decocq,et al. Environmental drivers interactively affect individual tree growth across temperate European forests , 2018, Global change biology.
[6] Andreas Uhl,et al. Improvement of the Fmask algorithm for Sentinel-2 images: Separating clouds from bright surfaces based on parallax effects , 2018, Remote Sensing of Environment.
[7] S. Pacala,et al. Tree carbon allocation explains forest drought-kill and recovery patterns. , 2018, Ecology letters.
[8] B. Choat,et al. Triggers of tree mortality under drought , 2018, Nature.
[9] C. Allen,et al. Research frontiers for improving our understanding of drought-induced tree and forest mortality. , 2018, The New phytologist.
[10] Christian Ginzler,et al. Wall-to-Wall Tree Type Mapping from Countrywide Airborne Remote Sensing Surveys , 2017, Remote. Sens..
[11] L. Iverson,et al. Competition amplifies drought stress in forests across broad climatic and compositional gradients , 2017 .
[12] S. Seneviratne,et al. Dependence of drivers affects risks associated with compound events , 2017, Science Advances.
[13] Olaf Conrad,et al. Climatologies at high resolution for the earth’s land surface areas , 2016, Scientific Data.
[14] Inácio T. Bueno,et al. A Simple Transformation for Visualizing Non-seasonal Landscape Change From Dense Time Series of Satellite Data , 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[15] C. Bigler,et al. Quantifying the effects of drought on abrupt growth decreases of major tree species in Switzerland , 2016, Ecology and evolution.
[16] Zuyuan Wang,et al. Wall-to-Wall Forest Mapping Based on Digital Surface Models from Image-Based Point Clouds and a NFI Forest Definition , 2015 .
[17] Nate G. McDowell,et al. On underestimation of global vulnerability to tree mortality and forest die-off from hotter drought in the Anthropocene , 2015 .
[18] Martina L. Hobi,et al. Countrywide Stereo-Image Matching for Updating Digital Surface Models in the Framework of the Swiss National Forest Inventory , 2015, Remote. Sens..
[19] Matthias J. R. Speich,et al. Application of bivariate mapping for hydrological classification and analysis of temporal change and scale effects in Switzerland , 2015 .
[20] Amanda M. Schwantes,et al. Global satellite monitoring of climate-induced vegetation disturbances. , 2015, Trends in plant science.
[21] Simon Dadson,et al. High-resolution global topographic index values for use in large-scale hydrological modelling. , 2015 .
[22] G. Tóth,et al. New generation of hydraulic pedotransfer functions for Europe , 2014, European journal of soil science.
[23] Giles M. Foody,et al. Good practices for estimating area and assessing accuracy of land change , 2014 .
[24] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[25] A. Jump,et al. Extreme drought alters competitive dominance within and between tree species in a mixed forest stand , 2013 .
[26] Hiederer Roland. Mapping Soil Properties for Europe – Spatial Representation of Soil Database Attributes , 2013 .
[27] Matthias Drusch,et al. Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services , 2012 .
[28] D. Easterling,et al. Changes in climate extremes and their impacts on the natural physical environment , 2012 .
[29] C. Field. Managing the risks of extreme events and disasters to advance climate change adaption , 2012 .
[30] Christian Körner,et al. Drought-sensitivity ranking of deciduous tree species based on thermal imaging of forest canopies , 2011 .
[31] S. Ganguly,et al. Widespread decline in greenness of Amazonian vegetation due to the 2010 drought , 2011 .
[32] S. Seneviratne,et al. Investigating soil moisture-climate interactions in a changing climate: A review , 2010 .
[33] N. McDowell,et al. A global overview of drought and heat-induced tree mortality reveals emerging climate change risks for forests , 2010 .
[34] Rolf Weingartner,et al. An introduction to the hydrological modelling system PREVAH and its pre- and post-processing-tools , 2009, Environ. Model. Softw..
[35] N. McDowell,et al. Mechanisms of plant survival and mortality during drought: why do some plants survive while others succumb to drought? , 2008, The New phytologist.
[36] W. Kurz,et al. Mountain pine beetle and forest carbon feedback to climate change , 2008, Nature.
[37] D. R. Cutler,et al. Utah State University From the SelectedWorks of , 2017 .
[38] Andy Liaw,et al. Classification and Regression by randomForest , 2007 .
[39] S. Wood. Generalized Additive Models: An Introduction with R , 2006 .
[40] P. Ciais,et al. Europe-wide reduction in primary productivity caused by the heat and drought in 2003 , 2005, Nature.
[41] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[42] H. Hager,et al. Spruce Monocultures in Central Europe - Problems and Prospects , 2000 .
[43] Stefan Sperlich,et al. Generalized Additive Models , 2014 .
[44] Peter E. Thornton,et al. Generating surfaces of daily meteorological variables over large regions of complex terrain , 1997 .
[45] H. Ellenberg,et al. Vegetation Ecology of Central Europe. , 1989 .
[46] K. Beven,et al. A physically based, variable contributing area model of basin hydrology , 1979 .
[47] G. Baader. Untersuchungen über Randschäden , 1952 .