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Contrasting Carbon–Water–Energy Dynamics in Perennial and Annual Bioenergy Agroecosystems Using Eddy Covariance and Interpretable Machine Learning

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Published in:Gcb Bioenergy
Format: Online Article RSS Article
Published: 2026
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container_title Gcb Bioenergy
description
discipline_display Energy
discipline_facet Energy
format Online Article
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institution FRELIP
journal_source_facet Gcb Bioenergy
last_indexed 2026-06-21T03:37:19.750Z
publishDate 2026
publishDateSort 2026
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spellingShingle Contrasting Carbon–Water–Energy Dynamics in Perennial and Annual Bioenergy Agroecosystems Using Eddy Covariance and Interpretable Machine Learning
Energy
General
Energy
sub_discipline_display General
sub_discipline_facet General
subject_display Energy
General
Energy
subject_facet Energy
General
Energy
title Contrasting Carbon–Water–Energy Dynamics in Perennial and Annual Bioenergy Agroecosystems Using Eddy Covariance and Interpretable Machine Learning
title_alt Dinámicas contrastantes de carbono-agua-energía en agroecosistemas de bioenergía perennes y anuales utilizando covarianza de remolinos y aprendizaje automático interpretable
Dynamiques contrastées carbone-eau-énergie dans les agroécosystèmes énergétiques pérennes et annuels utilisant la covariance de turbulence et l'apprentissage automatique interprétable
Dinâmica contrastante de carbono-água-energia em agroecossistemas de bioenergia perenes e anuais usando covariância de vórtices e aprendizado de máquina interpretável
title_auth Contrasting Carbon–Water–Energy Dynamics in Perennial and Annual Bioenergy Agroecosystems Using Eddy Covariance and Interpretable Machine Learning
title_es_txt Dinámicas contrastantes de carbono-agua-energía en agroecosistemas de bioenergía perennes y anuales utilizando covarianza de remolinos y aprendizaje automático interpretable
title_fr_txt Dynamiques contrastées carbone-eau-énergie dans les agroécosystèmes énergétiques pérennes et annuels utilisant la covariance de turbulence et l'apprentissage automatique interprétable
title_full Contrasting Carbon–Water–Energy Dynamics in Perennial and Annual Bioenergy Agroecosystems Using Eddy Covariance and Interpretable Machine Learning
title_fullStr Contrasting Carbon–Water–Energy Dynamics in Perennial and Annual Bioenergy Agroecosystems Using Eddy Covariance and Interpretable Machine Learning
title_full_unstemmed Contrasting Carbon–Water–Energy Dynamics in Perennial and Annual Bioenergy Agroecosystems Using Eddy Covariance and Interpretable Machine Learning
title_pt_txt Dinâmica contrastante de carbono-água-energia em agroecossistemas de bioenergia perenes e anuais usando covariância de vórtices e aprendizado de máquina interpretável
title_short Contrasting Carbon–Water–Energy Dynamics in Perennial and Annual Bioenergy Agroecosystems Using Eddy Covariance and Interpretable Machine Learning
title_sort contrasting carbon–water–energy dynamics in perennial and annual bioenergy agroecosystems using eddy covariance and interpretable machine learning
topic Energy
General
Energy
url https://onlinelibrary.wiley.com/doi/10.1111/gcbb.70156?af=R