更真实的浮游生物模拟模型将改善海洋生态系统对全球变化反应的预测

IF 13.9 1区 生物学 Q1 ECOLOGY
Kevin J. Flynn, Angus Atkinson, John Beardall, John A. Berges, Maarten Boersma, Christophe Brunet, Albert Calbet, Dave A. Caron, Hans G. Dam, Patricia M. Glibert, Per Juel Hansen, Peng Jin, Christian Lønborg, Daniel J. Mayor, Susanne Menden-Deuer, Thomas Mock, Margaret R. Mulholland, David M. Needham, Luca Polimene, Alex J. Poulton, Carol Robinson, Sebastian D. Rokitta, Björn Rost, Enric Saiz, David J. Scanlan, Katrin Schmidt, Evelyn Sherr, Diane K. Stoecker, Camilla Svensen, Stefan Thiele, Tron F. Thingstad, Selina Våge
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引用次数: 0

摘要

浮游生物模型构成了海洋生态系统模拟器的核心,其用途从区域资源和生态系统管理到气候变化预测。在这方面,我们建议将模型与浮游生物生理学、多样性和营养作用的经验知识更强地结合起来,将提高模型的效用和它们在生物多样性、生态生理学、营养动力学和生物地球化学方面的输出的可靠性。我们建议采取关键步骤来解决实证研究和模拟模型之间的脱节,这些模型说明了已建立的浮游生物过程,目的是增加这些模型在应用中的效用。一个主要的挑战是,以适合模型整合的方式来描述浮游生物多样性和活动的复杂性。我们认为,经验科学专家最适合为下一代模型的开发提供建议,以应对这些挑战,我们提出了一系列行动来实现这种参与,包括让这些专家参与浮游生物数字双胞胎的设计和开发。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

More realistic plankton simulation models will improve projections of ocean ecosystem responses to global change

More realistic plankton simulation models will improve projections of ocean ecosystem responses to global change

Plankton models form the core of marine ecosystem simulators, with uses from regional resource and ecosystem management to climate change projections. In this Perspective, we suggest that stronger alignment of models with empirical knowledge about plankton physiology, diversity and trophic roles will improve model utility and the reliability of their outputs regarding biodiversity, ecophysiology, trophic dynamics and biogeochemistry. We recommend key steps to resolve the disconnect between empirical research and simulation models accounting for well-established plankton processes with an aim to increase the utility of such models for applied uses. A central challenge is characterizing the complexity of plankton diversity and activity in ways that are amenable to model incorporation. We argue that experts in empirical science are best placed to advise the development of next-generation models to address these challenges, and we propose a series of actions to achieve that engagement, including involvement of these experts in the design and exploitation of plankton digital twins.

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来源期刊
Nature ecology & evolution
Nature ecology & evolution Agricultural and Biological Sciences-Ecology, Evolution, Behavior and Systematics
CiteScore
22.20
自引率
2.40%
发文量
282
期刊介绍: Nature Ecology & Evolution is interested in the full spectrum of ecological and evolutionary biology, encompassing approaches at the molecular, organismal, population, community and ecosystem levels, as well as relevant parts of the social sciences. Nature Ecology & Evolution provides a place where all researchers and policymakers interested in all aspects of life's diversity can come together to learn about the most accomplished and significant advances in the field and to discuss topical issues. An online-only monthly journal, our broad scope ensures that the research published reaches the widest possible audience of scientists.
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