Article

Machine learning improves global models of plant diversity

2022-04-09

Abstract excerpt

Despite the paramount role of plant diversity for ecosystem functioning, biogeochemical cycles, and human welfare, knowledge of its global distribution is incomplete, hampering basic research and biodiversity conservation. Here, we used machine learning (random forests, extreme gradient boosting, neural networks) and conventional statistical methods (generalised linear models, generalised additive models) to model...

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Literature Corpus work: 52626286-04c4-513e-b8ab-339a87424636
DOI: 10.1101/2022.04.08.487610

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