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Forecasting Tree Water Deficit and Forest Drought Using Explainable Deep Learning

https://doi.org/10.2139/ssrn.7384228
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/bf00390086openalex-snapshot
The effect of atmospheric humidity on photosynthesis, transpiration and water use efficiency of leaves of several plant species
inferredcites →https://doi.org/10.1007/bf02532251openalex-snapshot
Fitting autoregressive models for prediction
inferredcites →https://doi.org/10.1007/s10115-013-0679-xopenalex-snapshot
Explaining prediction models and individual predictions with feature contributions
inferredcites →https://doi.org/10.1016/0022-5193(65)90077-9openalex-snapshot
An analysis of irreversible plant cell elongation
inferredcites →https://doi.org/10.1016/j.agrformet.2012.08.002openalex-snapshot
Climatic drivers of hourly to yearly tree radius variations along a 6°C natural warming gradient
inferredcites →https://doi.org/10.1016/j.ijforecast.2019.07.001openalex-snapshot
DeepAR: Probabilistic forecasting with autoregressive recurrent networks
inferredcites →https://doi.org/10.1016/j.ijforecast.2021.03.012openalex-snapshot
Temporal Fusion Transformers for interpretable multi-horizon time series forecasting
inferredcites →https://doi.org/10.1016/j.tplants.2014.10.008openalex-snapshot
Global satellite monitoring of climate-induced vegetation disturbances
inferredcites →https://doi.org/10.1016/j.tplants.2020.10.002openalex-snapshot
Modeling Ambitions Outpace Observations of Forest Carbon Allocation
inferredcites →https://doi.org/10.1016/s0165-232x(99)00022-1openalex-snapshot
snowpack model calculations for avalanche warning based upon a new network of weather and snow stations
inferredcites →https://doi.org/10.1023/a:1010933404324openalex-snapshot
Random Forests
inferredcites →https://doi.org/10.1038/323533a0openalex-snapshot
Learning representations by back-propagating errors
inferredcites →https://doi.org/10.1038/s41586-025-09005-yopenalex-snapshot
A foundation model for the Earth system
inferredcites →https://doi.org/10.1086/690946openalex-snapshot
Lagged Explanatory Variables and the Estimation of Causal Effect
inferredcites →https://doi.org/10.1093/forestscience/24.s1.a0001openalex-snapshot
Temporal and Spatial Variations in the Water Status of Forest Trees
inferredcites →https://doi.org/10.1093/treephys/25.2.147openalex-snapshot
Modeling tree water deficit from microclimate: an approach to quantifying drought stress
inferredcites →https://doi.org/10.1093/treephys/26.3.257openalex-snapshot
A mathematical model linking tree sap flow dynamics to daily stem diameter fluctuations and radial stem growth
inferredcites →https://doi.org/10.1093/treephys/tpy023openalex-snapshot
Daily stem diameter variations can predict the canopy water status of mature temperate trees
inferredcites →https://doi.org/10.1111/ele.13933openalex-snapshot
Number of growth days and not length of the growth period determines radial stem growth of temperate trees
inferredcites →https://doi.org/10.1111/gcb.15170openalex-snapshot
Continental‐scale tree‐ring‐based projection of Douglas‐fir growth: Testing the limits of space‐for‐time substitution
inferredcites →https://doi.org/10.1111/gcb.15872openalex-snapshot
Detecting forest response to droughts with global observations of vegetation water content
inferredcites →https://doi.org/10.1111/nph.17552openalex-snapshot
Why trees grow at night
inferredcites →https://doi.org/10.1111/nph.17767openalex-snapshot
Drought reduces water uptake in beech from the drying topsoil, but no compensatory uptake occurs from deeper soil layers
inferredcites →https://doi.org/10.1111/pce.12613openalex-snapshot
Radial stem variations – a source of tree physiological information not fully exploited yet
inferredcites →https://doi.org/10.1111/pce.12863openalex-snapshot
An empirical method that separates irreversible stem radial growth from bark water content changes in trees: theory and case studies
inferredcites →https://doi.org/10.1126/science.aaz5492openalex-snapshot
On the essentials of drought in a changing climate
inferredcites →https://doi.org/10.1126/science.abn6301openalex-snapshot
A global transition to flash droughts under climate change
inferredcites →https://doi.org/10.1126/science.adi2336openalex-snapshot
Learning skillful medium-range global weather forecasting
inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot
Long Short-Term Memory
inferredcites →https://doi.org/10.2307/1913643openalex-snapshot
Regression Quantiles
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