The influence of Holocene sea-ice variability on Arctic biota: using the past to predict the future
The influence of Holocene sea-ice variability on Arctic biota: using the past to predict the future
批准号:
1929306
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2017
资助国家:
英国
项目状态:
已结题
起止时间:
2017 至 --
中文摘要
海冰为许多北极物种提供了重要的季节性或常年性栖息地和扩散走廊,并成为其他物种的主要地理障碍;因此,它影响着海洋和陆地生物群的分布、基因流动和物种相互作用。由于气候变化,预计北冰洋在本世纪将季节性地无冰。这种变化的生态和进化后果仍然知之甚少,尽管高度依赖海冰完成其生命史的物种可能特别脆弱。我们量化海冰损失影响的能力受到我们对物种如何应对海冰长期空间和时间变化的有限理解的阻碍。这是由于缺乏许多物种的历史和现代观测数据,以及关于末次冰盛期以来海冰自然变化的数据稀少,尽管高分辨率的海冰重建正在出现。另一个挑战是改进海冰作为物种动态主要驱动力的归因,因为由于缺乏适当的海冰和/或生物数据,许多关联仍然是推测性的,在许多情况下甚至根本没有使用海冰数据。在全新世(11,700年至今),海冰的变化如何影响北极生物群。研究的三个主要领域是:i。在全新世,与冰有关的物种的时空历史是什么?二.全新世海冰与北极物种动态之间的关系是什么?三.海冰如何继续影响北极的植物扩散,现代植物扩散途径与重建的扩散途径相比如何?分析前系统审查哪些物种最依赖海冰,因此最有可能受到海冰损失的风险,将有助于为重点物种的选择提供信息,并有助于产生假设。该项目将使用新出现的高分辨率基于漂流木的全新世北极海冰重建(Hole & Macias-Fauria,2017),这将提供有关海冰动态自然变化的详细信息。对于问题(i),将汇编来自化石的古代DNA和现代分子数据,利用种群遗传分析(人口变化、种群连通性和遗传多样性)和物种分布建模(范围转移和扩散事件)重建物种动态并建立模型。对于(iii)该项目将把海冰和物种动态的联合收割机重建结合起来,从协变的时空模式评估因果关系。分析还将考虑物种动态变化的其他可能来源,例如:气候,地理和生物相互作用的其他方面。此外,由于北极的可达性越来越大,人类驱动的北极压力也可能对物种动态产生影响。问题(四)将需要进行实地工作,分析斯瓦尔巴特群岛海滩沿海海冰沉积的植物材料。这将涉及收集,鉴定和繁殖体的活力测试,确定可能的源区,并分析现代传播途径是否与研究植物的时空历史相一致。有可能与斯瓦尔巴特总督环境部合作开发一个公民科学项目,该项目的结果将揭示海冰在历史上对北极生物群的影响程度,并使人们深入了解当前海冰丧失可能产生的生态和进化反应,从而能够更准确地预测北极气候变化的影响。
英文摘要
Sea ice provides an important seasonal or perennial habitat and dispersal corridor for many Arctic species and acts as a major geographic barrier for others; it therefore influences the distributions, gene flow, and species interactions of marine and terrestrial biota. The Arctic Ocean is predicted to become seasonally ice-free this century as a result of climate change. The ecological and evolutionary consequences of this change remain poorly understood, although species with a high reliance on sea ice to complete their life histories are likely to be particularly vulnerable. Our ability to quantify the impacts of sea ice loss is hampered by our limited understanding of how species respond to long-term spatial and temporal variation in sea ice. This is due to a shortage of historic and modern observational data for many species, as well as sparse data on the natural variability of sea ice since the Last Glacial Maximum, although high-resolution sea ice reconstructions are emerging. Another challenge is to improve attribution of sea ice as the primary driver of species dynamics, as many associations remain speculative due to lack of appropriate sea ice and/or biotic data, in many cases not even using sea ice data at all.This project aims to advance predictions of impacts of current sea ice loss by improving our understanding of the long-term interactions between sea ice and Arctic species, specifically: how sea ice variability influenced Arctic biota during the Holocene (11,700 years - present). The three main areas of study are:i. What is the spatiotemporal history of selected ice-associated species during the Holocene?ii. What is the relationship between sea ice and Arctic species dynamics in the Holocene?iii. How does sea ice continue to influence plant dispersal in the Arctic, and how do modern plant dispersal pathways compare with reconstructed dispersal pathways?A pre-analysis systematic review of which species are most dependent on sea ice, and which are therefore most likely to be at risk from sea ice loss, will help inform selection of focal species and help generate hypotheses. The project will use emerging high-resolution driftwood-based reconstructions of Holocene Arctic sea ice (Hole & Macias-Fauria, 2017) which will give detailed information on the natural variability of sea ice dynamics. For question (i), ancient DNA from fossils and modern molecular data will be compiled to reconstruct and model species dynamics using: population genetic analysis (demographic change, population connectivity, and genetic diversity) and species distribution modelling (range shifts and dispersal events). For (iii) the project will combine reconstructions of sea ice and species dynamics to assess causality from the spatiotemporal patterns of covariability. The analysis will also account for other possible sources of variation in species dynamics, for example: other aspects of climate, geography, and biotic interactions. In addition, species dynamics may also be impacted by increasing human-driven pressures in the Arctic, as a result of its increasing accessibility. Question (iv) will entail fieldwork analysing plant material that is deposited by coastal sea ice on Svalbard beaches. This will involve collection, identification, and viability-testing of propagules, identification of possible source regions, and an analysis of whether modern dispersal pathways agree with the spatiotemporal histories of the study plants. There is potential to develop a citizen-science project in collaboration with the Environment Department of the Svalbard Governor.The results from this project will reveal the extent to which sea-ice has historically influenced Arctic biota, and give insights into potential ecological and evolutionary responses to current sea ice loss; thereby enabling more accurate predictions of the impacts of climate change in the Arctic.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
Genetic legacies of past climate change on Arctic species: how past responses shape future impacts
过去气候变化对北极物种的遗传遗产:过去的反应如何塑造未来的影响
DOI:
10.5287/ora-1r4okkydz
发表时间:
2023
期刊:
影响因子:
--
作者:
[Dance M]
通讯作者:
Dance M
海外基金