Predicting the ecological and societal impact of species on the move with climate change in the UK
Predicting the ecological and societal impact of species on the move with climate change in the UK
批准号:
2438413
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:
2020
资助国家:
英国
项目状态:
未结题
起止时间:
2020 至 --
中文摘要
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英文摘要
There is a growing recognition that the redistribution of species driven by a changing climate is creating profound challenges for societies and regional economies around the globe. As well as having serious consequences for economic development, livelihoods, food security, human health and culture, species' redistribution is testing the limit of our understanding of ecological systems, highlighting key knowledge gaps in our ability to predict biodiversity's response to global environmental change.The global reshuffle of biodiversity distribution can be witnessed in countries like the UK, where a recent study found that at least 55 species have arrived in the country in the past decade, likely due to climate change; around 20% of these species are suspected to impact positively or negatively on recipient ecosystems, or nearby human communities. These numbers are expected to be a gross underestimate of the likely impacts of species movements on ecosystems and society, given (a) the likely underrepresentation of invertebrates in the dataset, and (b) the fact that it only focused on new arrivals, disregarding, for example, unusual blooms and mass abundances linked to climate change and known to negatively impact ecosystems and/or society.Sadly, our current ability to predict which species are altering their distribution with climate change, and what the impacts of these redistributions may be, is limited. Interdisciplinary work is critically needed to enable the quick identification of species likely to be problematic (or beneficial) and locations likely to experience significant ecological and societal positive or negative impacts from biodiversity's redistribution under a changing climate; this information is key to identify, prioritize and then mitigate or prevent future risks. Certain geographic locations may indeed be more likely to experience a higher level of societal and/or ecological pressure with the arrival of new species (e.g. those near the coast or with higher human population densities). One might also hypothesize that specific traits are associated with larger redistributions (e.g. highly mobile species) or more damaging impacts (e.g. species that are vectors for disease).This PhD project will combine unique datasets on UK climatic conditions, species ecology and distribution as well as landcover attributes with state-of-the-art quantitative approaches to understand and predict how the landscape, climate, and other factors such as individual traits speed or slow species' spread. Its outcome will provide the first comprehensive and spatially-explicit picture of how climate change may impact UK society through its impact on biodiversity in the near future, while exploring for the first time whether the ecological traits that make species likely to be good invaders are also the traits that make species likely to redistribute more efficiently in response to climate change. The developed framework will provide a demonstration of how countries can enhance their ability to mitigate the consequences of a global redistribution of biodiversity underpinned by climate change.
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国内基金
海外基金
黄土高原半城镇化农民非农生计可持续性及农地流转和生态效应
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批准号:41171449
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项目类别:面上项目
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资助金额:60.0万元
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批准年份:2011
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负责人:徐勇
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依托单位:
脆弱生态约束下岩溶山区乡村可持续发展的导向模式研究
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批准号:40561006
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项目类别:地区科学基金项目
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资助金额:23.0万元
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批准年份:2005
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负责人:苏维词
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依托单位: