Developing scenario-based, near-term iterative forecasts to inform water management
Near-term, iterative ecosystem forecasts with scenarios representing alternate management decisions have high potential for providing valuable insights on how different decisions may impact future ecological conditions. For freshwater ecosystems, whic
Authors
- Claire Sims (ORCID: https://orcid.org/0009-0003-2717-0739)
- R. Quinn Thomas (ORCID: https://orcid.org/0000-0003-1282-7825)
- Matthew R. Hipsey (ORCID: https://orcid.org/0000-0001-8386-4354)
- Cayelan C. Carey (ORCID: https://orcid.org/0000-0001-8835-4476)
- Austin Delany (ORCID: https://orcid.org/0000-0002-2266-6300)
- Freya Olsson (ORCID: https://orcid.org/0000-0002-0483-4489)
- Adrienne Rumbelow
Institutions
- The University of Western Australia (AU)
- Virginia Tech (US)
Publication Details
- Published
- 2025-09-25
- DOI
- https://doi.org/10.22541/essoar.175105660.07388971/v2
- Primary Topic
- Water resources management and optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation
- Commonwealth Scientific and Industrial Research Organisation
- Griffith University
- Melbourne Water
- Department of Environment and Water
- Office of International Science and Engineering