Fine scale prediction of ecological community composition using a two-step sequential Machine Learning ensemble

Fine scale prediction of ecological community composition using a two-step sequential Machine Learning ensemble

Prediction is one of the last frontiers in ecology. Indeed, predicting fine-scale species composition in natural systems is a complex challenge as multiple abiotic and biotic processes operate simultaneously to determine local species abundances. On the one hand, species intrinsic performance and th...

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Bibliographic Details
Main Authors: Bartomeus, I. (Author), Civantos-Gómez, I. (Author), Galeano, J. (Author), García-Algarra, J. (Author), García-Callejas, D. (Author), Godoy, O. (Author)
Format: Article
Language:English
Published: Public Library of Science 2021
Subjects:
algorithm
Algorithms
Article
biological model
biology
biota
Biota
community
Computational Biology
controlled study
ecological diversity
ecology
environmental change
interspecific competition
machine learning
Machine Learning
Models, Biological
nonhuman
physiology
plant
plant community
Plants
population abundance
precipitation
prediction
regression analysis
soil
species composition
time series analysis
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