Forecasting biodiversity in breeding birds using best practices
David J. Harris; Shawn D. Taylor; Ethan P. White · 2018 · PeerJ
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
Biodiversity forecasts are important for conservation, management, and evaluating how well current models characterize natural systems. While the number of forecasts for biodiversity is increasing, there is little information available on how well these forecasts work. Most biodiversity forecasts are not evaluated to determine how well they predict future diversity, fail to account for uncertainty, and do not use time-series data that captures the actual dynamics being studied. We addressed these limitations by using best practices to explore our ability to forecast the species richness of bre
Abstract by David J. Harris; Shawn D. Taylor; Ethan P. White, PeerJ (2018) — licensed CC BY 4.0.
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Metadata source: DOAJ · DOI 10.7717/peerj.4278