The impact of hurricane disturbances on a tropical forest: implementing a palm plant functional type and hurricane disturbance module in ED2-HuDi V1.0
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July 2022 |
Forest regeneration within Earth system models: current process representations and ways forward
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April 2022 |
Niche filtering rather than partitioning shapes the structure of temperate forest ant communities
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January 2014 |
Identifying Key Drivers of Wildfires in the Contiguous US Using Machine Learning and Game Theory Interpretation
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June 2021 |
Assessing uncertainties in a second-generation dynamic vegetation model caused by ecological scale limitations
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July 2010 |
Building a machine learning surrogate model for wildfire activities within a global Earth system model
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March 2022 |
Evaluation of ecosystem dynamics, plant geography and terrestrial carbon cycling in the LPJ dynamic global vegetation model
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February 2003 |
Drought-induced mortality patterns and rapid biomass recovery in a terra firme forest in the Colombian Amazon
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August 2017 |
Comparison of Machine Learning Methods for Estimating Mangrove Above-Ground Biomass Using Multiple Source Remote Sensing Data in the Red River Delta Biosphere Reserve, Vietnam
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April 2020 |
Inclusion of a cold hardening scheme to represent frost tolerance is essential to model realistic plant hydraulics in the Arctic–boreal zone in CLM5.0-FATES-Hydro
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December 2022 |
An insight into machine-learning algorithms to model human-caused wildfire occurrence
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July 2014 |
A continental‐scale assessment of variability in leaf traits: Within species, across sites and between seasons
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April 2018 |
A review of machine learning applications in wildfire science and management
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December 2020 |
Not the Same Old Chestnut
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January 2020 |
Global evaluation of the Ecosystem Demography model (ED v3.0)
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March 2022 |
Game theory interpretation of digital soil mapping convolutional neural networks
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August 2020 |
An individual-based forest model to jointly simulate carbon and tree diversity in Amazonia: description and applications
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September 2017 |
A comprehensive review of deep learning applications in hydrology and water resources
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August 2020 |
Using Deep Neural Networks as Cost‐Effective Surrogate Models for Super‐Parameterized E3SM Radiative Transfer
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June 2019 |
Benchmarking and parameter sensitivity of physiological and vegetation dynamics using the Functionally Assembled Terrestrial Ecosystem Simulator (FATES) at Barro Colorado Island, Panama
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January 2020 |
Capturing functional strategies and compositional dynamics in vegetation demographic models
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July 2021 |
A machine learning approach to emulation and biophysical parameter estimation with the Community Land Model, version 5
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January 2020 |
Predicting and understanding forest dynamics using a simple tractable model
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October 2008 |
Scaling from Trees to Forests: Tractable Macroscopic Equations for Forest Dynamics
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November 2008 |
Asynchronous carbon sink saturation in African and Amazonian tropical forests
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March 2020 |
machine.
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October 2001 |
Recent advances in ecosystem-atmosphere interactions: an ecological perspective
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June 2003 |
Vegetation demographics in Earth System Models: A review of progress and priorities
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journal
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October 2017 |
Optimisation of photosynthetic carbon gain and within-canopy gradients of associated foliar traits for Amazon forest trees
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January 2010 |
Parameterization of Canopy Structure and Leaf-Level Gas Exchange for an Eastern Amazonian Tropical Rain Forest (Tapajós National Forest, Pará, Brazil)
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October 2005 |
Changes in coexistence mechanisms along a long-term soil chronosequence revealed by functional trait diversity: Functional diversity along ecological gradients
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March 2012 |
The Energy Balance Closure Problem: an Overview
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September 2008 |
Functional tradeoffs determine species coexistence via the storage effect
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July 2009 |
The DOE E3SM Coupled Model Version 1: Overview and Evaluation at Standard Resolution
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July 2019 |
Linking plant hydraulics and the fast–slow continuum to understand resilience to drought in tropical ecosystems
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March 2021 |
Interannual variation of terrestrial carbon cycle: Issues and perspectives
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November 2019 |
The world-wide ‘fast-slow’ plant economics spectrum: a traits manifesto
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February 2014 |
Terrestrial models and global change: challenges for the future
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June 1998 |
A global meta-analysis of the relative extent of intraspecific trait variation in plant communities
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September 2015 |
Amazon forest carbon dynamics predicted by profiles of canopy leaf area and light environment
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September 2012 |
Assessing the generality of global leaf trait relationships
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February 2005 |
Architecture of 53 rain Forest tree Species Differing in Adult Stature and Shade Tolerance
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March 2003 |
Predictive modeling of wildfires: A new dataset and machine learning approach
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March 2019 |
Modeling the topographic influence on aboveground biomass using a coupled model of hillslope hydrology and ecosystem dynamics
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October 2022 |
Large model structural uncertainty in global projections of urban heat waves
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June 2021 |
A plant growth form dataset for the New World
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November 2016 |
Taking off the training wheels: the properties of a dynamic vegetation model without climate envelopes, CLM4.5(ED)
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January 2015 |
Incorporation of plant traits in a land surface model helps explain the global biogeographical distribution of major forest functional types: Plant traits explain biogeographical variation in forest types
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November 2016 |
Opposing assembly mechanisms in a Neotropical dry forest: implications for phylogenetic and functional community ecology
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August 2009 |
Using dynamic vegetation models to simulate plant range shifts
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March 2014 |
The FLUXCOM ensemble of global land-atmosphere energy fluxes
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May 2019 |
Dominance of the suppressed: Power-law size structure in tropical forests
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January 2016 |
The role of gap phase processes in the biomass dynamics of tropical forests
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September 2007 |
The Community Land Model Version 5: Description of New Features, Benchmarking, and Impact of Forcing Uncertainty
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December 2019 |
From local explanations to global understanding with explainable AI for trees
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January 2020 |
Tropical tree mortality has increased with rising atmospheric water stress
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May 2022 |
Linking hydraulic traits to tropical forest function in a size-structured and trait-driven model (TFS v.1-Hydro)
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January 2016 |
A stand‐alone tree demography and landscape structure module for Earth system models
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October 2013 |
An evaluation of adaptive surrogate modeling based optimization with two benchmark problems
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October 2014 |
Machine learning for hydrologic sciences: An introductory overview
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May 2021 |
LPJ-GUESS/LSMv1.0: a next-generation land surface model with high ecological realism
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September 2022 |
Effective and efficient global optimization for conceptual rainfall-runoff models
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April 1992 |
Amazonia as a carbon source linked to deforestation and climate change
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July 2021 |
Pervasive shifts in forest dynamics in a changing world
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May 2020 |
Environmental Filtering, Niche Construction, and Trait Variability: The Missing Discussion
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December 2017 |
Interpreting machine learning prediction of fire emissions and comparison with FireMIP process-based models
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March 2022 |
Random forests for global sensitivity analysis: A selective review
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February 2021 |
Components of leaf‐trait variation along environmental gradients
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April 2020 |
Responses of leaf traits to climatic gradients: adaptive variation versus compositional shifts
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January 2015 |
The Central Amazon Biomass Sink Under Current and Future Atmospheric CO 2 : Predictions From Big‐Leaf and Demographic Vegetation Models
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March 2020 |
The other side of tropical forest drought: do shallow water table regions of Amazonia act as large‐scale hydrological refugia from drought?
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January 2022 |
Investigating Parametric Dependence of Climate Feedbacks in the Atmospheric Component of CNRM‐CM6‐1
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May 2022 |
Influence of landscape heterogeneity on water available to tropical forests in an Amazonian catchment and implications for modeling drought response: Water Available to Tropical Forest
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August 2017 |
Analysing Amazonian forest productivity using a new individual and trait-based model (TFS v.1)
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January 2014 |
SEIB–DGVM: A new Dynamic Global Vegetation Model using a spatially explicit individual-based approach
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January 2007 |
An integrated biosphere model of land surface processes, terrestrial carbon balance, and vegetation dynamics
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December 1996 |
A parallelization framework for calibration of hydrological models
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May 2012 |
Patterns of water and heat flux across a biome gradient from tropical forest to savanna in Brazil
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January 2009 |
A Transdisciplinary Review of Deep Learning Research and Its Relevance for Water Resources Scientists
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November 2018 |
Energy balance closure at FLUXNET sites
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December 2002 |
Improving predictions of evapotranspiration by integrating multi-source observations and land surface model
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October 2022 |
Leaf and stem economics spectra drive diversity of functional plant traits in a dynamic global vegetation model
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April 2015 |
An Evaluation of Eight Machine Learning Regression Algorithms for Forest Aboveground Biomass Estimation from Multiple Satellite Data Products
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December 2020 |
Resilience of Amazon forests emerges from plant trait diversity
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August 2016 |
XGBoost: A Scalable Tree Boosting System
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conference
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January 2016 |
Forest aboveground biomass estimation using Landsat 8 and Sentinel-1A data with machine learning algorithms
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June 2020 |
Linking big models to big data: efficient ecosystem model calibration through Bayesian model emulation
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January 2018 |
How Many Species Are There on Earth and in the Ocean?
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August 2011 |
The global spectrum of plant form and function
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December 2015 |
Improving assessment and modelling of climate change impacts on global terrestrial biodiversity
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May 2011 |
Demographic trade-offs predict tropical forest dynamics
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April 2020 |
An Introduction to the E3SM Special Collection: Goals, Science Drivers, Development, and Analysis
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November 2020 |
Plant phenotypic plasticity in a changing climate
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December 2010 |
Explainable machine-learning predictions for the prevention of hypoxaemia during surgery
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October 2018 |
HETEROFOR 1.0: a spatially explicit model for exploring the response of structurally complex forests to uncertain future conditions – Part 1: Carbon fluxes and tree dimensional growth
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March 2020 |
A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code
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February 2000 |
A data-conditioned stochastic parameterization of temporal plant trait variability in an ecohydrological model and the potential for plasticity
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August 2019 |
Functional Traits and Niche-Based Tree Community Assembly in an Amazonian Forest
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October 2008 |
Modeling the Joint Effects of Vegetation Characteristics and Soil Properties on Ecosystem Dynamics in a Panama Tropical Forest
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January 2022 |
Hydraulically‐vulnerable trees survive on deep‐water access during droughts in a tropical forest
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July 2021 |
Impacts of Degradation on Water, Energy, and Carbon Cycling of the Amazon Tropical Forests
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August 2020 |
What Role Does Hydrological Science Play in the Age of Machine Learning?
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March 2021 |
Should Environmental Filtering be Abandoned?
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June 2017 |
Towards a New Generation of Trait-Flexible Vegetation Models
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March 2020 |
Quantifying the structural uncertainty of the aerosol mixing state representation in a modal model
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December 2021 |
Deep learning and process understanding for data-driven Earth system science
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February 2019 |
Functional trade-offs increase species diversity in experimental plant communities
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August 2012 |
The use of machine learning methods to estimate aboveground biomass of grasslands: A review
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November 2021 |
Assessing impacts of selective logging on water, energy, and carbon budgets and ecosystem dynamics in Amazon forests using the Functionally Assembled Terrestrial Ecosystem Simulator
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journal
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January 2020 |
Woody Aboveground Biomass Mapping of the Brazilian Savanna with a Multi-Sensor and Machine Learning Approach
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August 2020 |
Next-generation dynamic global vegetation models: learning from community ecology
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March 2013 |
Model calibration using ESEm v1.1.0 – an open, scalable Earth system emulator
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December 2021 |
Climate variability has a stabilizing effect on the coexistence of prairie grasses
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August 2006 |
Community assembly, coexistence and the environmental filtering metaphor
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October 2014 |
Scaling from individual trees to forests in an Earth system modeling framework using a mathematically tractable model of height-structured competition
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January 2015 |
Dynamic responses of terrestrial ecosystem carbon cycling to global climate change
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May 1998 |
The tropical forest carbon cycle and climate change
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July 2018 |
Forests and Climate Change: Forcings, Feedbacks, and the Climate Benefits of Forests
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June 2008 |
Trait similarity, shared ancestry and the structure of neighbourhood interactions in a subtropical wet forest: implications for community assembly: Traits, phylogeny, neighbourhood interactions
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November 2010 |
The return of the variance: intraspecific variability in community ecology
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April 2012 |
The biophysics, ecology, and biogeochemistry of functionally diverse, vertically and horizontally heterogeneous ecosystems: the Ecosystem Demography model, version 2.2 – Part 1: Model description
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January 2019 |
A Method for Scaling Vegetation Dynamics: the Ecosystem Demography Model (ed)
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November 2001 |
From calibration to parameter learning: Harnessing the scaling effects of big data in geoscientific modeling
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October 2021 |
Mechanisms of woody-plant mortality under rising drought, CO2 and vapour pressure deficit
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journal
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March 2022 |
Mechanistic scaling of ecosystem function and dynamics in space and time: Ecosystem Demography model version 2
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January 2009 |
Niche partitioning and niche filtering jointly mediate the coexistence of three closely related spider species (Araneae, Philodromidae)
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journal
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October 2014 |
Trait-based tests of coexistence mechanisms
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August 2013 |
Random Forests
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journal
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January 2001 |
Estimating Submicron Aerosol Mixing State at the Global Scale With Machine Learning and Earth System Modeling
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journal
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February 2021 |
Machine-learning methods for stream water temperature prediction
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journal
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January 2021 |
Machine Learning Accelerates Parameter Optimization and Uncertainty Assessment of a Land Surface Model
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journal
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October 2020 |
Representation of Plant Hydraulics in the Noah‐MP Land Surface Model: Model Development and Multiscale Evaluation
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April 2021 |