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The power of forecasts to advance ecological theory

Authors :
Abigail S. L. Lewis
Christine R. Rollinson
Andrew J. Allyn
Jaime Ashander
Stephanie Brodie
Cole B. Brookson
Elyssa Collins
Michael C. Dietze
Amanda S. Gallinat
Noel Juvigny‐Khenafou
Gerbrand Koren
Daniel J. McGlinn
Hassan Moustahfid
Jody A. Peters
Nicholas R. Record
Caleb J. Robbins
Jonathan Tonkin
Glenda M. Wardle
Source :
Methods in Ecology and Evolution, Vol 14, Iss 3, Pp 746-756 (2023)
Publication Year :
2023
Publisher :
Wiley, 2023.

Abstract

Abstract Ecological forecasting provides a powerful set of methods for predicting short‐ and long‐term change in living systems. Forecasts are now widely produced, enabling proactive management for many applied ecological problems. However, despite numerous calls for an increased emphasis on prediction in ecology, the potential for forecasting to accelerate ecological theory development remains underrealized. Here, we provide a conceptual framework describing how ecological forecasts can energize and advance ecological theory. We emphasize the many opportunities for future progress in this area through increased forecast development, comparison and synthesis. Our framework describes how a forecasting approach can shed new light on existing ecological theories while also allowing researchers to address novel questions. Through rigorous and repeated testing of hypotheses, forecasting can help to refine theories and understand their generality across systems. Meanwhile, synthesizing across forecasts allows for the development of novel theory about the relative predictability of ecological variables across forecast horizons and scales. We envision a future where forecasting is integrated as part of the toolset used in fundamental ecology. By outlining the relevance of forecasting methods to ecological theory, we aim to decrease barriers to entry and broaden the community of researchers using forecasting for fundamental ecological insight.

Details

Language :
English
ISSN :
2041210X
Volume :
14
Issue :
3
Database :
Directory of Open Access Journals
Journal :
Methods in Ecology and Evolution
Publication Type :
Academic Journal
Accession number :
edsdoj.9051fed63e7499bb97b4e4fd3b061fb
Document Type :
article
Full Text :
https://doi.org/10.1111/2041-210X.13955