Causes and consequences of spatio-temporal variation of species interactions at the community scale

群落尺度物种相互作用时空变化的原因和后果

基本信息

  • 批准号:
    RGPIN-2015-06280
  • 负责人:
  • 金额:
    $ 1.89万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Discovery Grants Program - Individual
  • 财政年份:
    2018
  • 资助国家:
    加拿大
  • 起止时间:
    2018-01-01 至 2019-12-31
  • 项目状态:
    已结题

项目摘要

Interactions between species are key both to the properties of ecosystems, and to the well-being of human populations. Pollination of agricultural crops by insects allows the provision of food, grazing of algae by sea urchins prevents algal blooms in coastal areas, and the presence of predators keep the population size of their preys in check. Yet, it has often been assumed that interactions between species are constant, or in other words, that the same two species will interact in the same ways in different contexts. Recent analysis of field observations show that this is not the case; much in the same way that species vary in their geographical range, so too do interactions. My research program seeks to provide explanations to this variation, and building on this new knowledge, to establish predictions about how we expect ecosystem properties to change in time or space. One of the most important predicted output of this research program is the ability to predict, based on measured data, the probability that two species will interact in a given environment. I will use tools from the relatively new field of computational ecology, which builds on high-performance simulations and statistical methods designed to analyse extremely large datasets, to address these questions. Although my research activities are theoretical, I will work in close association with empirical scientists. This collaboration will allow me to have access to high-quality observations backed by robust knowledge of the natural history of the different systems. This close collaborations will also ensure that the theoretical advances I will make, and in particular the new tools and methods I will develop, are grounded in the questions and observations of researchers with first-hand knowledge of natural systems. In particular, I will make sure that all the students I train have the opportunity to spend some time working on an empirical system, so that they can contribute to bridging the gap between theoretical and empirical science. In addition to providing new mechanisms and theoretical propositions for fundamental scientists to build upon, I expect that my work will appeal to managers and stakeholders, as it will provide a new way to forecast the structure of ecological communities. This will allow better predictions of the effects of species invasions and environmental changes, for example, on ecosystem properties in need of preservation.**
物种之间的相互作用对生态系统的特性和人类的福祉都至关重要。昆虫对农作物的破坏使食物得以供应,海胆对藻类的摄食防止了沿海地区的藻类大量繁殖,捕食者的存在也控制了猎物的数量。然而,人们经常假设物种之间的相互作用是恒定的,或者换句话说,相同的两个物种在不同的环境中会以相同的方式相互作用。最近对实地观察的分析表明,情况并非如此;这与物种在其地理范围内的变化非常相似,相互作用也是如此。我的研究计划旨在为这种变化提供解释,并在此新知识的基础上,建立关于我们如何期望生态系统属性在时间或空间上发生变化的预测。该研究计划最重要的预测结果之一是能够根据测量数据预测两个物种在给定环境中相互作用的概率。我将使用相对较新的计算生态学领域的工具来解决这些问题,该领域建立在高性能模拟和统计方法的基础上,旨在分析超大型数据集。虽然我的研究活动是理论性的,但我将与经验科学家密切合作。这种合作将使我能够获得高质量的观测结果,这些观测结果得到了不同系统自然历史的强大知识的支持。这种密切的合作也将确保我将取得的理论进展,特别是我将开发的新工具和方法,都是基于对自然系统有第一手了解的研究人员的问题和观察。特别是,我将确保我培养的所有学生都有机会花一些时间研究一个经验系统,这样他们就可以为弥合理论科学和经验科学之间的差距做出贡献。除了为基础科学家提供新的机制和理论主张外,我希望我的工作将吸引管理者和利益相关者,因为它将提供一种新的方式来预测生态群落的结构。这将有助于更好地预测物种入侵和环境变化的影响,例如,对需要保护的生态系统特性的影响。

项目成果

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Poisot, Timothée其他文献

Poisot, Timothée的其他文献

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{{ truncateString('Poisot, Timothée', 18)}}的其他基金

The many paths to ecological network inference: reconciling machine learning, empirical data, and ecological knowledge
生态网络推理的多种途径:协调机器学习、经验数据和生态知识
  • 批准号:
    RGPAS-2021-00015
  • 财政年份:
    2022
  • 资助金额:
    $ 1.89万
  • 项目类别:
    Discovery Grants Program - Accelerator Supplements
The many paths to ecological network inference: reconciling machine learning, empirical data, and ecological knowledge
生态网络推理的多种途径:协调机器学习、经验数据和生态知识
  • 批准号:
    RGPIN-2021-03112
  • 财政年份:
    2022
  • 资助金额:
    $ 1.89万
  • 项目类别:
    Discovery Grants Program - Individual
The many paths to ecological network inference: reconciling machine learning, empirical data, and ecological knowledge
生态网络推理的多种途径:协调机器学习、经验数据和生态知识
  • 批准号:
    RGPAS-2021-00015
  • 财政年份:
    2021
  • 资助金额:
    $ 1.89万
  • 项目类别:
    Discovery Grants Program - Accelerator Supplements
The many paths to ecological network inference: reconciling machine learning, empirical data, and ecological knowledge
生态网络推理的多种途径:协调机器学习、经验数据和生态知识
  • 批准号:
    RGPIN-2021-03112
  • 财政年份:
    2021
  • 资助金额:
    $ 1.89万
  • 项目类别:
    Discovery Grants Program - Individual
Causes and consequences of spatio-temporal variation of species interactions at the community scale
群落尺度物种相互作用时空变化的原因和后果
  • 批准号:
    RGPIN-2015-06280
  • 财政年份:
    2019
  • 资助金额:
    $ 1.89万
  • 项目类别:
    Discovery Grants Program - Individual
Causes and consequences of spatio-temporal variation of species interactions at the community scale
群落尺度物种相互作用时空变化的原因和后果
  • 批准号:
    RGPIN-2015-06280
  • 财政年份:
    2017
  • 资助金额:
    $ 1.89万
  • 项目类别:
    Discovery Grants Program - Individual
Causes and consequences of spatio-temporal variation of species interactions at the community scale
群落尺度物种相互作用时空变化的原因和后果
  • 批准号:
    RGPIN-2015-06280
  • 财政年份:
    2016
  • 资助金额:
    $ 1.89万
  • 项目类别:
    Discovery Grants Program - Individual
Causes and consequences of spatio-temporal variation of species interactions at the community scale
群落尺度物种相互作用时空变化的原因和后果
  • 批准号:
    RGPIN-2015-06280
  • 财政年份:
    2015
  • 资助金额:
    $ 1.89万
  • 项目类别:
    Discovery Grants Program - Individual

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