Improving stream management using ecological modelling and DNA barcodes

河流和溪流提供了宝贵的生态系统服务，但通常因人类活动而退化：气候变化改变了热流状况，可能会加剧这一问题。河流生物多样性是生态健康的价值和指标：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响应。通过使用新的DNA元条形码编制大型无脊椎动物物种数据集，建模其分布，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尺度决策支持：这是全球河流管理者的迫切需要。

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.