Climate Change Data Portal
DOI | 10.3354/meps14535 |
Advancing bioenergetics-based modeling to improve climate change projections of marine ecosystems | |
发表日期 | 2024 |
ISSN | 0171-8630 |
EISSN | 1616-1599 |
起始页码 | 732 |
卷号 | 732 |
英文摘要 | Climate change has rapidly altered marine ecosystems and is expected to continue to push systems and species beyond historical baselines into novel conditions. Projecting responses of organisms and populations to these novel environmental conditions often requires extrapolations beyond observed conditions, challenging the predictive limits of statistical modeling capabilities. Bioenergetics modeling provides the mechanistic basis for projecting climate change effects on marine living resources in novel conditions, has a long history of development, and has been applied widely to fish and other taxa. We provide our perspective on 4 opportunities that will advance the ability of bioenergetics-based models to depict changes in the productivity and distribution of fishes and other marine organisms, leading to more robust projections of climate impacts. These are (1) improved depiction of bioenergetics processes to derive realistic individual-level response(s) to complex changes in environmental conditions, (2) innovations in scaling individual-level bioenergetics to project responses at the population and food web levels, (3) more realistic coupling between spatial dynamics and bioenergetics to better represent the local- to regional-scale differences in the effects of climate change on the spatial distributions of organisms, and (4) innovations in model validation to ensure that the next generation of bioenergetics-based models can be used with known and sufficient confidence. Our focus on specific opportunities will enable critical advancements in bioenergetics modeling and position the modeling community to make more accurate and robust projections of the effects of climate change on individuals, populations, food webs, and ecosystems. |
英文关键词 | Bioenergetics; Modeling; Climate change; Fish; Projections; Challenges; Agent-based |
语种 | 英语 |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Oceanography |
WOS类目 | Ecology ; Marine & Freshwater Biology ; Oceanography |
WOS记录号 | WOS:001200232200011 |
来源期刊 | MARINE ECOLOGY PROGRESS SERIES
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/286344 |
作者单位 | University System of Maryland; University of Maryland Center for Environmental Science; National Oceanic Atmospheric Admin (NOAA) - USA; University of North Carolina; University of North Carolina Chapel Hill; Universidade de Sao Paulo; Universidade de Vigo; CIM UVIGO; University of Quebec; Universite du Quebec a Rimouski; Commonwealth Scientific & Industrial Research Organisation (CSIRO); Consolidated Safety Services, Inc. (CSS); Ifremer; Institut Agro; INRAE; University of Tokyo; National Oceanic Atmospheric Admin (NOAA) - USA; University of California System; University of California Santa Cruz; National Oceanic Atmospheric Admin (NOAA) - USA; Bedford Institute of Oceanography; Fisheries & Oceans Canada; National Oceanic Atmospheric Admin (NOAA) - USA; Universidade de Lisboa; Universidade de Lisboa; Universidade de Lisboa; University of Hawaii System; University of Hawaii Manoa; National Oceanic Atmospheric Admin (NOAA) - USA; National Aeronautics & Space Administration (NASA); Institute of Marine Resea... |
推荐引用方式 GB/T 7714 | . Advancing bioenergetics-based modeling to improve climate change projections of marine ecosystems[J],2024,732. |
APA | (2024).Advancing bioenergetics-based modeling to improve climate change projections of marine ecosystems.MARINE ECOLOGY PROGRESS SERIES,732. |
MLA | "Advancing bioenergetics-based modeling to improve climate change projections of marine ecosystems".MARINE ECOLOGY PROGRESS SERIES 732(2024). |
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