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/N010221/1
负责人:
Owen Lewis
金额:
$51.43万
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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DOI:
10.1128/aem.00099-23
发表时间:
2023-05-31
期刊:
APPLIED AND ENVIRONMENTAL MICROBIOLOGY
影响因子:
4.4
作者:
[Brown, Joel J., Jandova, Anna, Jeffs, Christopher T., Higgie, Megan, Novakova, Eva, Lewis, Owen T., Hrcek, Jan]
通讯作者:
Hrcek, Jan
Limits to species distributions on tropical mountains shift from high temperature to competition as elevation increases
随着海拔的增加,热带山区物种分布的限制从高温转向竞争
DOI:
10.1002/ecm.1597
发表时间:
2023
期刊:
Ecological Monographs
影响因子:
6.1
作者:
[Chen J]
通讯作者:
Chen J
Climate and competition combine to set elevational distributions of tropical rainforest Drosophila
气候和竞争共同决定了热带雨林果蝇的海拔分布
DOI:
10.1101/2022.04.01.486700
发表时间:
2022
期刊:
影响因子:
--
作者:
[Chen J]
通讯作者:
Chen J
DROP: Molecular voucher database for identification of Drosophila parasitoids.
DROP:用于鉴定果蝇寄生蜂的分子凭证数据库。
DOI:
10.1111/1755-0998.13435
发表时间:
2021
期刊:
Molecular ecology resources
影响因子:
7.7
作者:
[Lue CH]
通讯作者:
Lue CH
DOI:
10.1101/2023.03.24.534073
发表时间:
2023-03
期刊:
bioRxiv
影响因子:
--
作者:
[Jinlin Chen;O. Lewis]
通讯作者:
Jinlin Chen;O. Lewis
共 6 条
The ecological and evolutionary legacy of extreme climatic events for food web resilience
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批准号:NE/X000117/1
-
项目类别:Research Grant
-
资助金额:$64.21万
-
财政年份:2023
-
负责人:Owen Lewis
-
依托单位:
Biodiversity, ecosystem functions and policy across a tropical forest modification gradient
-
批准号:NE/K016261/1
-
项目类别:Research Grant
-
资助金额:$86.04万
-
财政年份:2013
-
负责人:Owen Lewis
-
依托单位:
Natural enemies, climate, and the maintenance of tropical tree diversity
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批准号:NE/J011169/1
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项目类别:Research Grant
-
资助金额:$41.43万
-
财政年份:2012
-
负责人:Owen Lewis
-
依托单位:
Plant pathogens and tropical tree diversity
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批准号:NE/D010721/1
-
项目类别:Research Grant
-
资助金额:$59.45万
-
财政年份:2007
-
负责人:Owen Lewis
-
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: