Morten D. Skogen, Johanna M. Aarflot, Luz María García-García, Rubao Ji, Manuel Ruiz-Villarreal, Elin Almroth-Rosell, Andrea Belgrano, Déborah Benkort, Ute Daewel, Moa Edman, René Friedland, Shuang Gao, Mariana Hill-Cruz, Solfrid Sætre Hjøllo, Martin Huret, Julie B. Kellner, Sonja van Leeuwen, Ane Lopez de Gamiz-Zearra, Marie Maar, Erik Askov Mousing, Myron A. Peck, Ane Pastor Rollan, Sévrine F. Sailley, Sofia Saraiva, Cassie Speakman, Tineke Troost, Veli Çağlar Yumruktepe
{"title":"Bridging the gap: integrating models and observations for better ecosystem understanding","authors":"Morten D. Skogen, Johanna M. Aarflot, Luz María García-García, Rubao Ji, Manuel Ruiz-Villarreal, Elin Almroth-Rosell, Andrea Belgrano, Déborah Benkort, Ute Daewel, Moa Edman, René Friedland, Shuang Gao, Mariana Hill-Cruz, Solfrid Sætre Hjøllo, Martin Huret, Julie B. Kellner, Sonja van Leeuwen, Ane Lopez de Gamiz-Zearra, Marie Maar, Erik Askov Mousing, Myron A. Peck, Ane Pastor Rollan, Sévrine F. Sailley, Sofia Saraiva, Cassie Speakman, Tineke Troost, Veli Çağlar Yumruktepe","doi":"10.3354/meps14616","DOIUrl":null,"url":null,"abstract":"ABSTRACT: Our understanding of complex marine ecosystem dynamics is often hindered by significant uncertainties and issues of representativeness associated with models and observations. Both observations and models provide a limited view of real-world complexities depending on what is specifically measured or simulated. When used together, they provide the ability to gain a broader understanding of important ecological processes. How to properly integrate models and observations while utilizing the advantages of both approaches remains a challenge. In this paper, we draw attention to commonly overlooked limitations of both observations and models, and use examples to illustrate potential strategies to mitigate bias, properly interpret results, and help improve both models and observations. We emphasize that proper validation of all data sources (models and observations) is necessary in all marine ecosystem studies, with a careful assessment of the spatio-temporal scales that the data represent.","PeriodicalId":18193,"journal":{"name":"Marine Ecology Progress Series","volume":"47 1","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Marine Ecology Progress Series","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.3354/meps14616","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
ABSTRACT: Our understanding of complex marine ecosystem dynamics is often hindered by significant uncertainties and issues of representativeness associated with models and observations. Both observations and models provide a limited view of real-world complexities depending on what is specifically measured or simulated. When used together, they provide the ability to gain a broader understanding of important ecological processes. How to properly integrate models and observations while utilizing the advantages of both approaches remains a challenge. In this paper, we draw attention to commonly overlooked limitations of both observations and models, and use examples to illustrate potential strategies to mitigate bias, properly interpret results, and help improve both models and observations. We emphasize that proper validation of all data sources (models and observations) is necessary in all marine ecosystem studies, with a careful assessment of the spatio-temporal scales that the data represent.
期刊介绍:
The leading journal in its field, MEPS covers all aspects of marine ecology, fundamental and applied. Topics covered include microbiology, botany, zoology, ecosystem research, biological oceanography, ecological aspects of fisheries and aquaculture, pollution, environmental protection, conservation, and resource management.