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Influence of population connectivity on depth-dependent diversity of deep-sea marine benthic biota

Influence of population connectivity on depth-dependent diversity of deep-sea marine benthic biota
种群连通性对深海海洋底栖生物群深度依赖性多样性的影响
批准号:
NE/K011855/1
负责人:
Kerry Howell
金额:
$57.4万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2015
资助国家:
英国
项目状态:
已结题
起止时间:
2015 至 --

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中文摘要
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英文摘要
Species populations are connected to each other through both movement of adults (migration) and eggs, larvae and juveniles (dispersal). If populations become isolated from one another (i.e. are no longer connected), then through genetic mutation, drift and natural selection, they may become so different that they evolve into new biological species. Understanding how populations become isolated is critical to understanding the process of speciation. In the marine environment many species do not move as adults (e.g. corals) or move very slowly (sea urchins). This means that for different adult populations to remain connected they rely on dispersal of early life history stages. Most marine species have a larval stage that lives in the plankton for a period of time, moving with the currents, before settling in a new area. It is larval dispersal that keeps distant populations connected. So understanding patterns of larval dispersal is important to understanding connectivity. In the deep-sea (>200m) the bathyal region of the continental slope has been identified as supporting high species richness and being an area where the rate of origination of new species may also be high. The reasons for this are not clear, but given the importance of connectivity to population isolation and speciation, it follows that the key to understanding patterns of species diversity in this region lies in understanding connectivity. New research has suggested that because the speed of the currents that carry larvae decreases as you go deeper, larvae might not be able to travel as far, leading to a greater tendency for populations at bathyal depths to become isolated over a given distance, and thus increasing the chances of speciation. This study aims to test this theory by investigating how patterns of connectivity vary with depth. This will be done in 3 ways: 1) using genetic analysis (similar to DNA fingerprinting) to compare how related distant populations are and if they become less closely related as you go deeper, 2) using a model of ocean currents to simulate the movement of larvae between sites, and 3) to look at the range and abundance of species present at distant locations to see if those at shallower depths are more similar to each-other than those at bathyal depths.This research has important implications for the sustainable management of the marine environment. Humans increasingly rely on the marine environment to supply us with food, building materials, fuel, and to soak up carbon slowing the progress of human induced climate change. However, our increasing use of this environment is starting to affect is 'normal' functioning, affecting the processes that allow it to provide us with food, fuel, etc. To try to help protect and sustain these 'ecosystem functions', Governments all over the world are setting up networks of Marine Protected Areas (MPAs) to ensure against serious ecosystem disturbance and cascade effects resulting from overexploitation that ultimately impair ecosystem function. There are many questions to be answered when trying to set up an MPA network, but one important question is where to put them to make sure that the populations that live within them are not isolated from each other but are connected. This research will help answer this question in the deep sea, and thus help managers, governments and society ensure the long term health of the ocean.
期刊论文(8)
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科研奖励(0)
会议论文
DOI: 10.3354/meps12925
发表时间: 2019-04
期刊: Marine Ecology Progress Series
影响因子: 2.5
作者: [Nils Piechaud;Christopher Hunt;P. Culverhouse;N. Foster;K. Howell]
通讯作者: Nils Piechaud;Christopher Hunt;P. Culverhouse;N. Foster;K. Howell
DOI: 10.1016/j.ecoinf.2022.101786
发表时间: 2022-11-01
期刊: ECOLOGICAL INFORMATICS
影响因子: 5.1
作者: [Piechaud, Nils, Howell, Kerry L.]
通讯作者: Howell, Kerry L.
World Seas: An Environmental Evaluation, Vol III: Ecological Issues and Environmental Impacts.
世界海洋:环境评估,第三卷:生态问题和环境影响。
DOI: --
发表时间: 2018
期刊:
影响因子: --
作者: [Rogers AD]
通讯作者: Rogers AD
Combining Distribution and Dispersal Models to Identify a Particularly Vulnerable Marine Ecosystem
结合分布和扩散模型来识别特别脆弱的海洋生态系统
DOI: 10.3389/fmars.2019.00574
发表时间: 2019
期刊: Frontiers in Marine Science
影响因子: 3.7
作者: [Ross R]
通讯作者: Ross R
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