| Autor: |
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 |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Methods in Ecology and Evolution, Vol 14, Iss 3, Pp 746-756 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2041-210X |
| DOI: |
10.1111/2041-210X.13955 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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