Detecting, Attributing, and Projecting Global Marine Ecosystem and Fisheries Change: FishMIP 2.0

IF 7.3 1区 地球科学 Q1 ENVIRONMENTAL SCIENCES Earths Future Pub Date : 2024-12-21 DOI:10.1029/2023EF004402
Julia L. Blanchard, Camilla Novaglio, Olivier Maury, Cheryl S. Harrison, Colleen M. Petrik, Denisse Fierro-Arcos, Kelly Ortega-Cisneros, Andrea Bryndum-Buchholz, Tyler D. Eddy, Ryan Heneghan, Kelsey Roberts, Jacob Schewe, Daniele Bianchi, Jerome Guiet, P. Daniel van Denderen, Juliano Palacios-Abrantes, Xiao Liu, Charles A. Stock, Yannick Rousseau, Matthias Büchner, Ezekiel O. Adekoya, Cathy Bulman, William Cheung, Villy Christensen, Marta Coll, Leonardo Capitani, Samik Datta, Elizabeth A. Fulton, Alba Fuster, Victoria Garza, Matthieu Lengaigne, Max Lindmark, Kieran Murphy, Jazel Ouled-Cheikh, Sowdamini S. Prasad, Ricardo Oliveros-Ramos, Jonathan C. Reum, Nina Rynne, Kim J. N. Scherrer, Yunne-Jai Shin, Jeroen Steenbeek, Phoebe Woodworth-Jefcoats, Yan-Lun Wu, Derek P. Tittensor
{"title":"Detecting, Attributing, and Projecting Global Marine Ecosystem and Fisheries Change: FishMIP 2.0","authors":"Julia L. Blanchard,&nbsp;Camilla Novaglio,&nbsp;Olivier Maury,&nbsp;Cheryl S. Harrison,&nbsp;Colleen M. Petrik,&nbsp;Denisse Fierro-Arcos,&nbsp;Kelly Ortega-Cisneros,&nbsp;Andrea Bryndum-Buchholz,&nbsp;Tyler D. Eddy,&nbsp;Ryan Heneghan,&nbsp;Kelsey Roberts,&nbsp;Jacob Schewe,&nbsp;Daniele Bianchi,&nbsp;Jerome Guiet,&nbsp;P. Daniel van Denderen,&nbsp;Juliano Palacios-Abrantes,&nbsp;Xiao Liu,&nbsp;Charles A. Stock,&nbsp;Yannick Rousseau,&nbsp;Matthias Büchner,&nbsp;Ezekiel O. Adekoya,&nbsp;Cathy Bulman,&nbsp;William Cheung,&nbsp;Villy Christensen,&nbsp;Marta Coll,&nbsp;Leonardo Capitani,&nbsp;Samik Datta,&nbsp;Elizabeth A. Fulton,&nbsp;Alba Fuster,&nbsp;Victoria Garza,&nbsp;Matthieu Lengaigne,&nbsp;Max Lindmark,&nbsp;Kieran Murphy,&nbsp;Jazel Ouled-Cheikh,&nbsp;Sowdamini S. Prasad,&nbsp;Ricardo Oliveros-Ramos,&nbsp;Jonathan C. Reum,&nbsp;Nina Rynne,&nbsp;Kim J. N. Scherrer,&nbsp;Yunne-Jai Shin,&nbsp;Jeroen Steenbeek,&nbsp;Phoebe Woodworth-Jefcoats,&nbsp;Yan-Lun Wu,&nbsp;Derek P. Tittensor","doi":"10.1029/2023EF004402","DOIUrl":null,"url":null,"abstract":"<p>There is an urgent need for models that can robustly detect past and project future ecosystem changes and risks to the services that they provide to people. The Fisheries and Marine Ecosystem Model Intercomparison Project (FishMIP) was established to develop model ensembles for projecting long-term impacts of climate change on fisheries and marine ecosystems while informing policy at spatio-temporal scales relevant to the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) framework. While contributing FishMIP models have improved over time, large uncertainties in projections remain, particularly in coastal and shelf seas where most of the world's fisheries occur. Furthermore, previous FishMIP climate impact projections have been limited by a lack of global standardized historical fishing data, low resolution of coastal processes, and uneven capabilities across the FishMIP community to dynamically model fisheries. These features are needed to evaluate how reliably the FishMIP ensemble captures past ecosystem states - a crucial step for building confidence in future projections. To address these issues, we have developed FishMIP 2.0 comprising a two-track framework for: (a) Model evaluation and attribution of past changes and (b) future climate and socioeconomic scenario projections. Key advances include improved historical climate forcing, which captures oceanographic features not previously resolved, and standardized global fishing forcing to test fishing effects systematically across models. FishMIP 2.0 is a crucial step toward a detection and attribution framework for changing marine ecosystems and toward enhanced policy relevance through increased confidence in future ensemble projections. Our results will help elucidate pathways toward achieving sustainable development goals.</p>","PeriodicalId":48748,"journal":{"name":"Earths Future","volume":"12 12","pages":""},"PeriodicalIF":7.3000,"publicationDate":"2024-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2023EF004402","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Earths Future","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1029/2023EF004402","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

There is an urgent need for models that can robustly detect past and project future ecosystem changes and risks to the services that they provide to people. The Fisheries and Marine Ecosystem Model Intercomparison Project (FishMIP) was established to develop model ensembles for projecting long-term impacts of climate change on fisheries and marine ecosystems while informing policy at spatio-temporal scales relevant to the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) framework. While contributing FishMIP models have improved over time, large uncertainties in projections remain, particularly in coastal and shelf seas where most of the world's fisheries occur. Furthermore, previous FishMIP climate impact projections have been limited by a lack of global standardized historical fishing data, low resolution of coastal processes, and uneven capabilities across the FishMIP community to dynamically model fisheries. These features are needed to evaluate how reliably the FishMIP ensemble captures past ecosystem states - a crucial step for building confidence in future projections. To address these issues, we have developed FishMIP 2.0 comprising a two-track framework for: (a) Model evaluation and attribution of past changes and (b) future climate and socioeconomic scenario projections. Key advances include improved historical climate forcing, which captures oceanographic features not previously resolved, and standardized global fishing forcing to test fishing effects systematically across models. FishMIP 2.0 is a crucial step toward a detection and attribution framework for changing marine ecosystems and toward enhanced policy relevance through increased confidence in future ensemble projections. Our results will help elucidate pathways toward achieving sustainable development goals.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
检测、归因和预测全球海洋生态系统和渔业变化:FishMIP 2.0
目前迫切需要能够可靠地检测过去和预测未来生态系统变化及其为人类提供的服务的风险的模型。渔业和海洋生态系统模型比对项目(FishMIP)的建立是为了开发预测气候变化对渔业和海洋生态系统的长期影响的模型集,同时在与部门间影响模型比对项目(ISIMIP)框架相关的时空尺度上为政策提供信息。虽然随着时间的推移,fish - mip模式有所改进,但预测仍然存在很大的不确定性,特别是在世界上大多数渔业活动发生的沿海和大陆架海域。此外,由于缺乏全球标准化的历史渔业数据,沿海过程的分辨率低,以及FishMIP社区动态模拟渔业的能力不均衡,以往的FishMIP气候影响预测受到限制。需要这些特征来评估FishMIP集合捕获过去生态系统状态的可靠性,这是建立对未来预测信心的关键一步。为了解决这些问题,我们开发了FishMIP 2.0,包括一个双轨框架:(a)模型评估和过去变化的归因;(b)未来气候和社会经济情景预测。主要进展包括改进历史气候强迫,它捕捉了以前未解决的海洋特征,以及标准化全球捕捞强迫,以便系统地跨模式测试捕捞效应。FishMIP 2.0是朝着不断变化的海洋生态系统的探测和归因框架以及通过提高对未来总体预测的信心来增强政策相关性迈出的关键一步。我们的研究结果将有助于阐明实现可持续发展目标的途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Earths Future
Earths Future ENVIRONMENTAL SCIENCESGEOSCIENCES, MULTIDI-GEOSCIENCES, MULTIDISCIPLINARY
CiteScore
11.00
自引率
7.30%
发文量
260
审稿时长
16 weeks
期刊介绍: Earth’s Future: A transdisciplinary open access journal, Earth’s Future focuses on the state of the Earth and the prediction of the planet’s future. By publishing peer-reviewed articles as well as editorials, essays, reviews, and commentaries, this journal will be the preeminent scholarly resource on the Anthropocene. It will also help assess the risks and opportunities associated with environmental changes and challenges.
期刊最新文献
Detecting, Attributing, and Projecting Global Marine Ecosystem and Fisheries Change: FishMIP 2.0 Vegetation Greening Mitigates the Impacts of Increasing Extreme Rainfall on Runoff Events National Forest Restoration Projects in China: Cost-Efficiency, and Trade-Off Between Carbon Sequestration and Water Consumption Pan-Arctic Assessment of Coastal Settlements and Infrastructure Vulnerable to Coastal Erosion, Sea-Level Rise, and Permafrost Thaw Climate Warming Will Exacerbate Unequal Exposure to Compound Flood-Heatwave Extremes
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1