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Microbes to Megafauna Modelling of Arctic Seas (MiMeMo)

Microbes to Megafauna Modelling of Arctic Seas (MiMeMo)
北冰洋微生物到巨型动物模型 (MiMeMo)
批准号:
NE/R012571/1
负责人:
Michael Heath
金额:
$39.31万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2018
资助国家:
英国
项目状态:
已结题
起止时间:
2018 至 --

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中文摘要
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英文摘要
Marine ecosystems are under pressure from a range of human activities as well climate change, and there is a need to develop more integrated plans to maximise their value to society in a sustainable way. These pressures are peaking in the polar regions, especially the Arctic, where the well documented progressive reductions in extent of sea-ice cover represent a rapid, massive and fundamental change in the environmental conditions to which the species which make up Arctic marine food webs have, for millennia, been adapted: it is possible that the pace of change in the Arctic is now more rapid than the pace at which life can evolve. We already know that the shrinking of ice-cover is resulting in increased primary production in the Arctic seas. However, the way and extent to which this increased production at the base of the food web propagates up to the higher trophic levels and charismatic megafauna such as whales, seals and polar bears, is extremely uncertain and hard to predict. Other features of the habitat than sea-ice such as currents and waves, seabed topography and sediments, and land-based freshwater and nutrient inputs, also dictate patterns of production and suitability for individual species.In this project we will employ mathematics and computer science to predict the likely flows of nutrient through the marine food web, from microbes to megafauna, as the physical environment in the Atlantic Arctic changes, as it is expected to do over the coming decades. The mathematics will be incorporated into computer models which describe the complex network of interactions between living components of the food web and the dissolved and particulate, inorganic and organic nutrients. This whole complex web is driven by the seasonal fluctuations in sunlight arriving at the sea surface, and coupled to the physical circulation and three-dimensional mixing of the marine environment by winds, tides and freshwater-driven currents, which transport all the components of the food web around in space. To accomplish this we need to summarize scientific information from across the whole range biology, chemistry and physics and represent it in our models.We start the project with the legacy of two different working models of marine ecosystems developed for temperate shelf seas, which include most of the basic elements that we need to model the food webs in the Barents Sea, Fram Strait, and the wider Atlantic-Arctic in this project. We will be working with researchers in all of the already-funded Changing Arctic Ocean projects to develop the models, so as to best represent the special features that are needed to simulate high-latitude ecosystems, especially the role of sea-ice on the ecology.By the end of the project we will be able to quantify the extent to which climate change may affect the potential fishery yields of fish and invertebrates from the Atlantic Arctic, and also the trade-offs that exploiting these resources may entail with respect to the culturally important abundances of Arctic megafauna which rely on fish and invertebrates for their survival.
期刊论文(5)
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科研奖励(0)
会议论文
Modelling the effects of changes in sea-ice extent on Arctic marine food webs
模拟海冰范围变化对北极海洋食物网的影响
DOI: --
发表时间: 2018
期刊:
影响因子: --
作者: [Heath M]
通讯作者: Heath M
DOI: 10.3389/fenvs.2020.548013
发表时间: 2020-11-10
期刊: FRONTIERS IN ENVIRONMENTAL SCIENCE
影响因子: 4.6
作者: [Benkort, Deborah, Daewel, Ute, Schrum, Corinna]
通讯作者: Schrum, Corinna
Synthetic shelf sediment maps for the Greenland Sea and Barents Sea
格陵兰海和巴伦支海的合成陆架沉积物图
DOI: 10.1002/gdj3.154
发表时间: 2022
期刊: Geoscience Data Journal
影响因子: 3.2
作者: [Laverick J]
通讯作者: Laverick J
DOI: 10.1007/s13280-021-01616-9
发表时间: 2022-03
期刊: Ambio
影响因子: 6.5
作者: [Heath MR, Benkort D, Brierley AS, Daewel U, Laverick JH, Proud R, Speirs DC]
通讯作者: Speirs DC
Integrating Macroecology and Modelling to Elucidate Regulation of Services from Ecosystems (IMMERSE)
  • 批准号:
    NE/L003120/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $34.86万
  • 财政年份:
    2014
  • 负责人:
    Michael Heath
  • 依托单位:
SGER: Acquisition & Operation of an Experimental Testbed for System-Level Research to Support Data-Intensive Computing Applications
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