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A fuzzy logic decision support model for climate-driven biomass loss risk in western Oregon and Washington
Dynamic global vegetation model (DGVM) projections are often put forth to aid resource managers in climate change-related decision making. However, interpreting model results and understanding their uncertainty can be difficult. Sources of uncertainty include embedded assumptions about atmospheric C...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6814215/ https://www.ncbi.nlm.nih.gov/pubmed/31652268 http://dx.doi.org/10.1371/journal.pone.0222051 |