Determining the marine ecosystem response to global change: Lessons from the past using a new Earth system model
确定海洋生态系统对全球变化的响应:使用新的地球系统模型吸取过去的教训
基本信息
- 批准号:NE/J019062/1
- 负责人:
- 金额:$ 30.3万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Fellowship
- 财政年份:2012
- 资助国家:英国
- 起止时间:2012 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The marine ecosystem can significantly impact on our planet, sustaining the ocean food chain and strongly regulating the climate through the activity of the phytoplankton. Phytoplankton are microscopic plants that live at the surface of the ocean, use sunlight as source of energy to grow via photosynthesis. Thanks to this reaction, phytoplankton consume today as much CO2 from the atmosphere as all the trees on the planet.Phytoplankton in the ocean are in fact many thousands of different organisms, some bigger, some smaller, others protected with shells. Each of these organisms have a specific function in the marine ecosystem and hence the climate. For instance, coccolithophores produce calcium carbonate in form of beautiful shells that fall easily at the bottom of the ocean once they die. Their shells are at the origin of the famous White Cliffs of Dover, in the South-East of England. Other important marine phytoplankton are the diatoms, bigger in size forming a silica shell, or the cyanobacteria which are smaller in size and populate most tropical and subtropical ocean waters.Today our climate is getting warmer due to large release of carbon to the atmosphere, causing our marine ecosystem to change. We however do not know exactly how the ecosystem will response to the change in climate, mainly because the ocean is a complex system where organisms keep interacting with each other and their environment. One way to understand better these interactions is to look at significant climate events in the past. The plan of this project is to look at both the Last Glacial Maximum (LGM) of 20 thousand years ago, which was a time when great ice sheets were covering our continent, and the Paleocene-Eocene thermal maximum (PETM) of 55 million years ago, which is a good analogue to today's climatic perturbations. The project will 1) compare the distribution and the diversity of the phytoplankton living in the ocean today with the ones of the LGM which had a much colder, more stratified and less acidic ocean, and 2) investigate the changes in the marine ecosystem due to the fast PETM warming event analogous to today. The outcome will help us to understand more how the marine ecosystem functions and reacts to changes in the climate.The challenge for this project is that we do not have enough observations to reproduce the phytoplankton distribution and diversity of the global ocean in the past. Computer models can help solve this filling in the missing information. These models need to represent all the important factors that determine where different phytoplankton species prefer to live, such as a diverse population of organisms. In this project, we are taking an exciting approach and use a particularly sophisticated model called a self-assembling ecosystem model.What is a self-assembling ecosystem model? Usually models represent only a couple of different sorts of phytoplankton, based on modern species which have been grown in the laboratory. Unfortunately there have not been enough experiments to realistically reproduce the wide diversity of phytoplankton of the real ocean. Our model therefore generates randomly a hundred phytoplankton 'characters', each with different abilities and properties to live. A diverse ecosystem then forms in the model while the diverse phytoplankton compete for nutrients and light. This model has already been very successful in representing most of the marine ecosystem of today, but has not been used to represent coccolithophores nor it has been applied to past climates. This project will be the first time either of these things will be done.The core of the research will be done at the University of Bristol which has a strong group of research experts in climate observations and modelling. In addition close collaborations will be carried out with different experts: with the university of MIT in the US and with coccolithophore and diatom experts in London, Cardiff and Southampton.
海洋生态系统可以对我们的星球产生重大影响,维持海洋食物链,并通过浮游植物的活动强烈调节气候。浮游植物是生活在海洋表面的微型植物,利用阳光作为能量来源通过光合作用生长。由于这种反应,浮游植物今天从大气中消耗的二氧化碳与地球上所有的树木一样多。海洋中的浮游植物实际上是成千上万种不同的生物体,有些更大,有些更小,其他的则受到外壳的保护。这些生物中的每一种在海洋生态系统中都有特定的功能,因此对气候也有影响。例如,颗石藻以美丽的贝壳的形式产生碳酸钙,一旦它们死亡,这些贝壳很容易落入海底。他们的贝壳是在著名的白色悬崖的多佛,在英格兰东南部的起源。其他重要的海洋浮游植物是硅藻,其体积较大,形成二氧化硅外壳,或蓝细菌,其体积较小,分布在大多数热带和亚热带海洋沃茨。今天,我们的气候变暖,由于大量的碳释放到大气中,导致我们的海洋生态系统发生变化。然而,我们并不确切地知道生态系统将如何应对气候变化,主要是因为海洋是一个复杂的系统,生物之间及其环境不断相互作用。更好地理解这些相互作用的一种方法是查看过去的重大气候事件。该项目的计划是研究2万年前的末次冰期最大值(LGM),这是一个巨大的冰盖覆盖我们大陆的时期,以及5500万年前的古新世-始新世热最大值(PETM),这是对今天气候扰动的一个很好的模拟。该项目将1)比较今天生活在海洋中的浮游植物的分布和多样性与LGM的分布和多样性,LGM具有更冷,更分层和更少酸性的海洋,2)调查由于与今天类似的快速PETM变暖事件导致的海洋生态系统的变化。研究结果将帮助我们更好地了解海洋生态系统的功能和对气候变化的反应。该项目的挑战是,我们没有足够的观测数据来重现过去全球海洋浮游植物的分布和多样性。计算机模型可以帮助解决这种填补缺失信息的问题。这些模型需要代表决定不同浮游植物物种喜欢生活的所有重要因素,例如生物的多样性。在这个项目中,我们采用了一种令人兴奋的方法,并使用了一种特别复杂的模型,称为自组装生态系统模型。什么是自组装生态系统模型?通常,模型只代表几种不同种类的浮游植物,基于在实验室中培养的现代物种。不幸的是,还没有足够的实验来真实地再现真实的海洋中浮游植物的广泛多样性。因此,我们的模型随机生成了100个浮游植物“角色”,每个角色都有不同的生存能力和属性。一个多样化的生态系统,然后在模型中形成,而不同的浮游植物竞争的营养物质和光。这个模型已经非常成功地代表了今天的大多数海洋生态系统,但还没有被用来代表颗石藻,也没有被应用到过去的气候。这项研究的核心将在布里斯托大学进行,该大学在气候观测和建模方面拥有强大的研究专家团队。此外,还将与不同的专家进行密切合作:与美国麻省理工大学以及与伦敦、卡迪夫和南安普顿的颗石藻和硅藻专家。
项目成果
期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
On nitrogen fixation and preferential remineralization of phosphorus
磷的固氮和优先再矿化
- DOI:10.1029/2012gl050897
- 发表时间:2012
- 期刊:
- 影响因子:5.2
- 作者:Monteiro F
- 通讯作者:Monteiro F
Investigating the benefits and costs of spines and diet on planktonic foraminifera distribution with a trait-based ecosystem model
- DOI:10.1016/j.marmicro.2021.102004
- 发表时间:2021-06-02
- 期刊:
- 影响因子:1.9
- 作者:Grigoratou, Maria;Monteiro, Fanny M.;Schmidt, Daniela N.
- 通讯作者:Schmidt, Daniela N.
Nutrients as the dominant control on the spread of anoxia and euxinia across the Cenomanian-Turonian oceanic anoxic event (OAE2): Model-data comparison
营养物质是塞诺曼期-土伦期海洋缺氧事件(OAE2)中缺氧和真氧传播的主要控制因素:模型数据比较
- DOI:10.1029/2012pa002351
- 发表时间:2012
- 期刊:
- 影响因子:0
- 作者:Monteiro F
- 通讯作者:Monteiro F
Antarctic ice sheet fertilises the Southern Ocean
- DOI:10.5194/bg-11-2635-2014
- 发表时间:2014-01-01
- 期刊:
- 影响因子:4.9
- 作者:Death, R.;Wadham, J. L.;Raiswell, R.
- 通讯作者:Raiswell, R.
A trait-based modelling approach to planktonic foraminifera ecology
基于性状的浮游有孔虫生态学建模方法
- DOI:10.5194/bg-2018-483
- 发表时间:2018
- 期刊:
- 影响因子:0
- 作者:Grigoratou M
- 通讯作者:Grigoratou M
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Fanny Monteiro其他文献
Fanny Monteiro的其他文献
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{{ truncateString('Fanny Monteiro', 18)}}的其他基金
Solving the Oligocene icehouse conundrum
解决渐新世冰室难题
- 批准号:
NE/V01823X/1 - 财政年份:2022
- 资助金额:
$ 30.3万 - 项目类别:
Research Grant
CoccoTrait: Revealing Coccolithophore Trait diversity and its climatic impacts
CoccoTrait:揭示颗石藻性状多样性及其气候影响
- 批准号:
NE/X001261/1 - 财政年份:2022
- 资助金额:
$ 30.3万 - 项目类别:
Research Grant
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