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Forecasting ecosystem collapse and recovery by tracking networks of species

Forecasting ecosystem collapse and recovery by tracking networks of species
通过跟踪物种网络来预测生态系统崩溃和恢复
批准号:
DE170100599
负责人:
Dr Ayesha Tulloch
金额:
$25.78万
依托单位:
依托单位国家:
澳大利亚
项目类别:
Discovery Early Career Researcher Award
财政年份:
2017
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2017-09-30 至 2021-10-30

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中文摘要
翻译
该项目旨在通过测量相互作用物种网络的变化来评估和预测生态系统的衰退。防止生态系统崩溃的努力正在失败。关注单个物种的管理忽略了生态系统的功能,因为物种之间和环境之间有着复杂的联系。该项目将使用社会网络、食物网理论和网络搜索行为的方法,发现生态系统衰退的症状,并找到诊断共生物种网络变化的可靠指标。目的是阐明物种相互作用、共生和生态系统衰退之间的关系,以及对生态系统恢复至关重要的知识。
英文摘要
This project aims to assess and predict ecosystem decline by measuring change in networks of interacting species. Efforts to prevent ecosystem collapse are failing. A focus on managing individual species ignores the fact that ecosystems function because species have complex associations with one another and the environment. This project will use methods from social networks, food-web theory and web-searching behaviour, to discover symptoms of declining ecosystems and find robust metrics that diagnose change in networks of co-occurring species. The intended outcome is to clarify the relationship between species interactions, co-occurrence and ecosystem decline, knowledge critical to ecosystem recovery.
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Pathways to agri-food supply chains that co-benefit people and nature
  • 批准号:
    FT210100655
  • 项目类别:
    ARC Future Fellowships
  • 资助金额:
    $57.66万
  • 财政年份:
    2021
  • 负责人:
    Dr Ayesha Tulloch
  • 依托单位:
海外基金