Improving stream management using ecological modelling and DNA barcodes

使用生态建模和 DNA 条形码改进河流管理

• 批准号: LP200100381
• 负责人: A/Prof Christopher Walsh
• 金额: $ 34.79万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2021
• 资助国家: 澳大利亚
• 起止时间: 2021-04-28 至 2025-04-27
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP200100381
• 关键词: Improving; stream; management; using; ecological

Rivers and streams provide invaluable ecosystem services, yet are commonly degraded by human activities: a problem likely to be exacerbated by thermal and flow regimes being altered by climate change. Stream biodiversity is both a value and an indicator of ecological health: effective stream management requires prediction of biodiversity responses to natural environmental and human-impact gradients. By compiling a dataset of macroinvertebrate species using new DNA metabarcoding, modelling their distributions, and ranking biodiversity by reach, we will develop molecular and quantitative spatial tools to provide data-driven, landscape-scale decision support for protecting and restoring streams: an urgent need for stream managers globally.

河流和溪流提供了宝贵的生态系统服务，但通常会因人类活动而退化：气候变化改变的热力和流量状况可能会加剧这一问题。河流生物多样性既是生态健康的价值也是指标：有效的河流管理需要预测生物多样性对自然环境和人类影响梯度的反应。通过使用新的DNA元条形码编译大型无脊椎动物物种的数据集，对其分布进行建模，并按范围对生物多样性进行排名，我们将开发分子和定量空间工具，为保护和恢复河流提供数据驱动的景观规模决策支持：这是全球河流管理者的迫切需求。