生态学中的自动化近实时监测:现状与前进方向

IF 5.8 2区 环境科学与生态学 Q1 ECOLOGY
Anna Marie Davison , Koen de Koning , Franziska Taubert , Jan-Kees Schakel
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引用次数: 0

摘要

在当前生物多样性迅速下降的时代,监测生态系统和栖息在其中的物种变得越来越重要。近乎实时的生态监测方法有助于在快速变化的系统中做出决策和及时干预。尽管快速发展的技术进步使得近乎实时的生态监测所需的自动化工作流程成为可能,但它们的使用非常有限,目前还没有对它们的创建能力进行审查。本文总结了目前可用于创建此类工作流的方法和技术,以及在决策系统中建立这些工作流的考虑因素。我们确定了跨地域和不同生态学研究领域采用NRT方法的主要障碍。我们还强调需要与技术专家和利益攸关方合作,建立有效和持久的NRT工作流程,为循证决策提供信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automated near real-time monitoring in ecology: Status quo and ways forward
In the current epoch of rapid biodiversity decline, monitoring of ecosystems and the species which inhabit them has become increasingly important. A near real-time approach to ecological monitoring facilitates decision making and timely interventions within rapidly changing systems. Despite fast-paced technological advancements making the automated workflows required for near real-time ecological monitoring possible, their use is highly limited and there is yet to be a review of the current capacity for their creation. This paper summarises the current methods and technologies which could be used to create such workflows and the considerations for establishing them in decision-making systems. We identify key barriers to the adoption of a NRT approach across geographies and different fields of study in ecology. We also highlight the need to work collaboratively with technologists and stakeholders to establish efficient and long-lasting NRT workflows which can inform evidence-based decision making.
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来源期刊
Ecological Informatics
Ecological Informatics 环境科学-生态学
CiteScore
8.30
自引率
11.80%
发文量
346
审稿时长
46 days
期刊介绍: The journal Ecological Informatics is devoted to the publication of high quality, peer-reviewed articles on all aspects of computational ecology, data science and biogeography. The scope of the journal takes into account the data-intensive nature of ecology, the growing capacity of information technology to access, harness and leverage complex data as well as the critical need for informing sustainable management in view of global environmental and climate change. The nature of the journal is interdisciplinary at the crossover between ecology and informatics. It focuses on novel concepts and techniques for image- and genome-based monitoring and interpretation, sensor- and multimedia-based data acquisition, internet-based data archiving and sharing, data assimilation, modelling and prediction of ecological data.
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