Scaling up uncertain predictions to higher levels of organisation tends to underestimate change
Abstract Uncertainty is an irreducible part of predictive science, causing us to over‐ or underestimate the magnitude of change that a system of interest will face. In a reductionist approach, we may use predictions at the level of individual system components (e.g. species biomass), and combine the...
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Main Authors: | James A. Orr, Jeremy J. Piggott, Andrew L. Jackson, Jean‐François Arnoldi |
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Format: | Article |
Language: | English |
Published: |
Wiley
2021-08-01
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Series: | Methods in Ecology and Evolution |
Subjects: | |
Online Access: | https://doi.org/10.1111/2041-210X.13621 |
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