دورية أكاديمية

PERFICT: A Re-imagined foundation for predictive ecology.

التفاصيل البيبلوغرافية
العنوان: PERFICT: A Re-imagined foundation for predictive ecology.
المؤلفون: McIntire EJB; Pacific Forestry Centre, Canadian Forest Service, Natural Resources Canada, Victoria, British Columbia, Canada.; Faculty of Forestry, Forest Resources Management, The University of British Columbia, Vancouver, British Columbia, Canada.; Département des sciences du bois et de la forêt, Pavillon Abitibi-Price, 2405, rue de la Terrasse, Université Laval, Québec City, Québec, Canada., Chubaty AM; Pacific Forestry Centre, Canadian Forest Service, Natural Resources Canada, Victoria, British Columbia, Canada.; Département des sciences du bois et de la forêt, Pavillon Abitibi-Price, 2405, rue de la Terrasse, Université Laval, Québec City, Québec, Canada.; FOR-CAST Research & Analytics, Calgary, Alberta, Canada., Cumming SG; Département des sciences du bois et de la forêt, Pavillon Abitibi-Price, 2405, rue de la Terrasse, Université Laval, Québec City, Québec, Canada., Andison D; Faculty of Forestry, Forest Resources Management, The University of British Columbia, Vancouver, British Columbia, Canada.; Bandaloop Landscape-Ecosystem Services Ltd., Nelson, British Columbia, Canada., Barros C; Faculty of Forestry, Forest Resources Management, The University of British Columbia, Vancouver, British Columbia, Canada., Boisvenue C; Pacific Forestry Centre, Canadian Forest Service, Natural Resources Canada, Victoria, British Columbia, Canada.; Faculty of Forestry, Forest Resources Management, The University of British Columbia, Vancouver, British Columbia, Canada., Haché S; Canadian Wildlife Service, Environment and Climate Change Canada, Yellowknife, Northwest Territories, Canada., Luo Y; Pacific Forestry Centre, Canadian Forest Service, Natural Resources Canada, Victoria, British Columbia, Canada.; Forest Analysis and Inventory Branch, BC Ministry of Forests, Victoria, British Columbia, Canada., Micheletti T; Faculty of Forestry, Forest Resources Management, The University of British Columbia, Vancouver, British Columbia, Canada., Stewart FEC; Pacific Forestry Centre, Canadian Forest Service, Natural Resources Canada, Victoria, British Columbia, Canada.; University of Victoria, School of Environmental Studies, Victoria, British Columbia, Canada.; Department of Biology, Wilfrid Laurier University, Waterloo, Ontario, Canada.
المصدر: Ecology letters [Ecol Lett] 2022 Jun; Vol. 25 (6), pp. 1345-1351. Date of Electronic Publication: 2022 Mar 22.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Blackwell Publishing Country of Publication: England NLM ID: 101121949 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1461-0248 (Electronic) Linking ISSN: 1461023X NLM ISO Abbreviation: Ecol Lett Subsets: MEDLINE
أسماء مطبوعة: Publication: Oxford, UK : Blackwell Publishing
Original Publication: Oxford, UK : [Paris, France] : Blackwell Science ; Centre national de la recherche scientifique, c1998-
مواضيع طبية MeSH: Ecology* , Models, Theoretical*
مستخلص: Making predictions from ecological models-and comparing them to data-offers a coherent approach to evaluate model quality, regardless of model complexity or modelling paradigm. To date, our ability to use predictions for developing, validating, updating, integrating and applying models across scientific disciplines while influencing management decisions, policies, and the public has been hampered by disparate perspectives on prediction and inadequately integrated approaches. We present an updated foundation for Predictive Ecology based on seven principles applied to ecological modelling: make frequent Predictions, Evaluate models, make models Reusable, Freely accessible and Interoperable, built within Continuous workflows that are routinely Tested (PERFICT). We outline some benefits of working with these principles: accelerating science; linking with data science; and improving science-policy integration.
(© 2022 Her Majesty the Queen in Right of Canada. Ecology Letters published by John Wiley & Sons Ltd. Reproduced with the permission of the Minister of Natural Resources Canada.)
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معلومات مُعتمدة: Environment and Climate Change Canada; Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; IT10289 Mitacs; IT12391 Mitacs; fRI Research
فهرسة مساهمة: Keywords: FAIR data; computational workflows; cross-disciplinary; ecological forecasting; open models; predictive ecology; predictive validation; science-policy integration
تواريخ الأحداث: Date Created: 20220322 Date Completed: 20220603 Latest Revision: 20220731
رمز التحديث: 20221213
مُعرف محوري في PubMed: PMC9310704
DOI: 10.1111/ele.13994
PMID: 35315961
قاعدة البيانات: MEDLINE
الوصف
تدمد:1461-0248
DOI:10.1111/ele.13994