Mapping Out the Yields of Energy Crops With Data‐Driven Global Models, Including Climate and Soil Predictors

ABSTRACT Lignocellulosic crops such as Miscanthus, Eucalyptus, Poplar, Willow, and Switchgrass are gaining attention as promising feedstocks for renewable energy and carbon‐mitigation strategies, especially on marginal lands. Assessing their global yield potentials requires models that go beyond cli...

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Detalhes bibliográficos

Principais autores:	Siwar Saadaoui, David Makowski, Benoît Gabrielle, Thierry Brunelle
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Wiley 2025-10-01
coleção:	GCB Bioenergy
Assuntos:	bioenergy energy crops global maps lignocellulosic crops machine learning modeling
Acesso em linha:	https://doi.org/10.1111/gcbb.70078
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