Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/36737
Appears in Collections:Aquaculture Journal Articles
Peer Review Status: Refereed
Title: The power of forecasts to advance ecological theory
Author(s): Lewis, Abigail S L
Rollinson, Christine R
Allyn, Andrew J
Ashander, Jaime
Brodie, Stephanie
Brookson, Cole B
Collins, Elyssa
Dietze, Michael C
Gallinat, Amanda S
Juvigny‐Khenafou, Noel
Koren, Gerbrand
McGlinn, Daniel J
Moustahfid, Hassan
Peters, Jody A
Record, Nicholas R
Contact Email: noel.juvigny-khenafou@stir.ac.uk
Keywords: ecological forecast
ecological theory
forecast cycle
forecast synthesis
hypothesis testing
modelling
predictability
transferability
Issue Date: Mar-2023
Date Deposited: 17-Feb-2025
Citation: Lewis ASL, Rollinson CR, Allyn AJ, Ashander J, Brodie S, Brookson CB, Collins E, Dietze MC, Gallinat AS, Juvigny‐Khenafou N, Koren G, McGlinn DJ, Moustahfid H, Peters JA & Record NR (2023) The power of forecasts to advance ecological theory. <i>Methods in Ecology and Evolution</i>, 14 (3), pp. 746-756. https://doi.org/10.1111/2041-210x.13955
Abstract: 1. 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. 2. 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. 3. 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. 4. 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.
DOI Link: 10.1111/2041-210x.13955
Rights: © 2022 The Authors. Methods in Ecology and Evolution published by John Wiley & Sons Ltd on behalf of British Ecological Society. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Notes: Additional authors: Caleb J. Robbins, Jonathan Tonkin, Glenda M. Wardle
Licence URL(s): http://creativecommons.org/licenses/by/4.0/

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