Ecological and evolutionary effects of climate change on rainforest food webs
Ecological and evolutionary effects of climate change on rainforest food webs
批准号:
NE/N01037X/1
负责人:
Jonathan Bridle
金额:
$28.11万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2016
资助国家:
英国
项目状态:
已结题
起止时间:
2016 至 --
中文摘要
生态群落是复杂的、相互作用的物种网络,通过竞争、互惠、捕食和寄生联系在一起。在《物种起源》中,查尔斯·达尔文写了一个著名的“纠缠的银行”,包括令人眼花缭乱的丰富物种和它们之间更复杂的联系网络。从根本上说,生态学家和进化生物学家试图解开这种复杂性,通过建立为什么物种会出现在它们所处的地方,为什么它们在某些条件下相互取代,以及组成生态系统的物种相互作用如何随着环境的变化而变化。随着气候变暖和极端事件变得更加频繁,物种之间现有的联系正在发生强度变化,或者完全被切断;随着物种数量的变化和分布的改变,新的联系正在形成(例如,在较冷的栖息地定居,而在较温暖的栖息地局部灭绝)。生物学家利用有关物种目前生长的温度范围的信息来预测物种在未来变暖的世界中将生长的地方。然而,如果我们也能考虑到物种之间不断变化的相互作用,以及物种进化以应对新条件的潜力,就有可能更好地预测气候变化的后果。我们迫切需要测试相互作用的物种的整个食物网是如何通过生物过程(例如竞争和捕食)和温度来构建的,以及这些生态网络将如何应对气候变化。同样重要的是,要测试当前跨物种地理范围的适应性差异将在多大程度上增加它们对未来气候变化的适应能力。为了实现这一目标,我们的项目将在一个受气候变化威胁的高多样性生态系统(澳大利亚热带雨林)中开发一个独特的模型系统(果蝇和与它们相关的寄生蜂,称为拟寄生蜂)。有了这个系统,我们将使用实地观察、实地移植实验和数学模型来测试:(1)是什么决定了物种在当地的分布和食物网结构;(ii)相互作用物种的自然网络和模拟网络对模拟气候变化的响应;(iii)驱动这些变化的潜在机制,包括物种内种群间遗传变异的影响以及对较暖温度的快速进化适应的潜力。其结果将是对气候变化将如何影响生物多样性特征和支撑自然生态系统功能和服务的生物相互作用的更好和更具预测性的理解。
英文摘要
Ecological communities are complex, interacting networks of species, linked by competition, mutualism, predation and parasitism. In the 'Origin of Species', Charles Darwin famously wrote of 'an entangled bank', comprising a bewildering richness of species and an even more complex web of connections among them. Fundamentally, ecologists and evolutionary biologists seek to unravel this complexity, by establishing why species occur where they do, why they replace each other under certain conditions, and how the species interactions that make up ecosystems will change as environments change. As the climate warms and extreme events become more frequent, existing connections between species are changing in strength, or being severed completely; and new connections are forming as species change in abundance and shift their distributions (e.g. colonising cooler habitats, while becoming locally extinct in warmer habitats). Biologists use information about the range of temperatures where species currently occur to predict where species will occur in a future, warmer world. However, better predictions about the consequences of climate change will be possible if we can also take into account changing interactions between species, as well as the potential for species to evolve to cope with new conditions.We urgently need to test how whole food webs of interacting species are structured by biological processes (e.g. competition and predation) and by temperature, and how these ecological networks will respond to climate change. It is also important to test the extent to which current adaptive divergence across species' geographical ranges will increase their resilience to future climate change. To achieve this, our project will exploit a unique model system (Drosophila fruit-flies and parasitic wasps that are associated with them, called parasitoids) in a high-diversity ecosystem threatened by climate change (Australian tropical rainforests). With this system we will use field observations, field transplant experiments and mathematical models to test: (i) what determines species' local distributions and food web structure; (ii) the responses of natural and simulated networks of interacting species to simulated climate change; and (iii) the underlying mechanisms driving these changes, including the effects of genetic variation among populations within species and the potential for rapid evolutionary adaptation to warmer temperatures. The outcome will be a better and more predictive understanding of how climate change will affect the biotic interactions that characterise biodiversity and underpin the functions and services of natural ecosystems.
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Discovering the limits of ecological resilience.
发现生态恢复力的极限。
DOI:
10.1126/science.aba6432
发表时间:
2020
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
[Bridle J]
通讯作者:
Bridle J
DOI:
10.1098/rstb.2021.0027
发表时间:
2022-04-11
期刊:
Philosophical transactions of the Royal Society of London. Series B, Biological sciences
影响因子:
--
作者:
[Bridle J, Hoffmann A]
通讯作者:
Hoffmann A
DOI:
10.1111/oik.08715
发表时间:
2021-10-12
期刊:
OIKOS
影响因子:
3.4
作者:
[Hoffmann, Ary A., Bridle, Jon]
通讯作者:
Bridle, Jon
DOI:
10.1016/j.anbehav.2020.09.002
发表时间:
2020-11-01
期刊:
ANIMAL BEHAVIOUR
影响因子:
2.5
作者:
[Churchill, Emily R., Bridle, Jon R., Thom, Michael D. F.]
通讯作者:
Thom, Michael D. F.
Longer photoperiods through range shifts and artificial light lead to a destabilizing increase in host-parasitoid interaction strength.
通过范围变化和人造光延长光周期会导致宿主与寄生蜂相互作用强度的不稳定增加。
DOI:
10.1111/1365-2656.13328
发表时间:
2020
期刊:
The Journal of animal ecology
影响因子:
--
作者:
[Kehoe R]
通讯作者:
Kehoe R
共 8 条
The ecological and evolutionary legacy of extreme climatic events for food web resilience
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批准号:NE/X000451/1
-
项目类别:Research Grant
-
资助金额:$18.31万
-
财政年份:2023
-
负责人:Jonathan Bridle
-
依托单位:
Evolutionary rescue and the limits to phenotypic plasticity: testing theory in the field
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批准号:NE/P001793/1
-
项目类别:Research Grant
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资助金额:$52.07万
-
财政年份:2017
-
负责人:Jonathan Bridle
-
依托单位:
The velocity of evolutionary responses of species to ecological change: testing adaptive limits in time and space
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批准号:NE/N015843/1
-
项目类别:Research Grant
-
资助金额:$41.64万
-
财政年份:2016
-
负责人:Jonathan Bridle
-
依托单位:
Testing the limits to evolution: when and why does adaptation fail in response to ecological change?
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批准号:NE/G007039/1
-
项目类别:Research Grant
-
资助金额:$61.79万
-
财政年份:2010
-
负责人:Jonathan Bridle
-
依托单位:
Predicting ecological and evolutionary responses to climate change in habitat and ecological networks: the impact of variation within species
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批准号:NE/H018468/1
-
项目类别:Training Grant
-
资助金额:$9.86万
-
财政年份:2010
-
负责人:Jonathan Bridle
-
依托单位:
国内基金
海外基金
经济复杂系统的非稳态时间序列分析及非线性演化动力学理论
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批准号:70471078
-
项目类别:面上项目
-
资助金额:15.0万元
-
批准年份:2004
-
负责人:陈平
-
依托单位: