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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/109564 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/109564 http://eprints.org/relation/ismediumThumbnailVersionOf https://pure.iiasa.ac.at/id/document/109564 109571 2 332322 document 109571 small.jpg image/png 4830f42a1c178b49a68b446e4bbf8954 MD5 2296 2025-04-28 10:11:46 https://pure.iiasa.ac.at/id/eprint/20536/6/small.jpg 20536 6 6 image/png other Thumbnails conversion from text to thumbnail_small en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/109564 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/109564 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/109564 archive 353 disk0/00/02/05/36 2025-04-28 10:03:00 2026-02-18 11:18:22 2025-04-28 10:03:00 article show Groner V.P. Cook J. Orme C.D.L. Amarasekare P. Comyn-Platt E. Rallings T. Joshi J. 8895 Ewers R.M. pub ASA EM ecosystem modeling, multiple timescales, transdisciplinary challenge Modeling complex, nonlinear ecosystem processes across different timescales presents a significant challenge. We identify two key issues: selecting a representative timestep that captures interconnected processes across various timescales, and simulating these processes in an appropriate sequence. By synthesizing existing ecosystem frameworks, we find shared compromises between biological realism and computational performance. For the representative timestep, these include ‘selective elimination of timescales’, ‘biting the bullet’, ‘each in their own time’, and ‘capture the unseen’. For processing order, we identify hierarchical, logical, iterative, and random approaches. Similar challenges exist in other disciplines, and we show how transferring methods from multiple fields, along with smarter computing, can improve timescale integration. Overcoming these challenges requires innovative transdisciplinary solutions, and we outline directions for future research. 2025-06 published Elsevier doi:10.1016/j.tree.2025.03.011 3189 public Trends in Ecology & Evolution 40 6 575-585 TRUE 1872-838 info:eu-repo/semantics/article