Riverscape approaches in practice: perspectives and applications

Riverscape approaches in practice: perspectives and applications
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实践中的河流景观方法:视角和应用

DOI:
10.1111/brv.12810
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发表时间:
2022
期刊:
影响因子:
10
通讯作者:
Bergeron, Normand E.
Bergeron, Normand E.
中科院分区:
生物学1区
文献类型:
--
作者:
Torgersen, Christian E.;Le Pichon, Céline;Fullerton, Aimee H.;Dugdale, Stephen J.;Duda, Jeffrey J.;Giovannini, Floriane;Tales, Évelyne;Belliard, Jérôme;Branco, Paulo;Bergeron, Normand E.

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在过去的30年里,河流生态学的景观观点越来越多地被采用,导致水生生态学家开发出一套不同的方法来概念化,映射和理解“河流景观”。河流及其生物区系嵌套在社会生态景观的时空明确的观点,现在提供了内陆渔业和流域管理的指导原则和方法。在过去二十年中,关于河流景观的科学文献迅速增加,表明该术语和相关方法在淡水科学和管理中发挥着重要作用。我们追溯河景的观点和方法的起源和理论基础,并在已发表的文献中研究趋势,以评估科学的状态,并展示它们如何被应用于解决河流生态系统管理中的最新挑战。我们专注于研究和可视化河流和溪流的方法,遥感,建模和采样设计,使模式检测从上面看到的(如河道,河漫滩和河岸区),但也进入水本身(如水生生物和水环境)。景观生态学的关键概念是河流景观方法的核心,是异质性,尺度(分辨率,范围和范围)和连通性(结构和功能),这是研究设计,数据收集和分析的空间和时间方面的基础。利用高分辨率、空间密集型技术绘制河流和洪泛区的物理和生物特征图,可以提高对多尺度空间格局的原因和生态后果的理解。这些信息对于管理河流生态系统至关重要,特别是对于成功实施保护,恢复和监测计划。遥感、实地采样方法和地理空间技术的最新进展使得在更大的空间和时间尺度上收集高分辨率数据变得越来越可行。我们强调了挑战和机遇,并讨论了未来的研究途径与新兴的工具,可以帮助克服收集,分析和显示这些数据的障碍。本综述旨在帮助研究人员和资源管理人员理解并应用这些概念和方法来解决淡水管理中的真实的世界问题。
Landscape perspectives in riverine ecology have been undertaken increasingly in the last 30 years, leading aquatic ecologists to develop a diverse set of approaches for conceptualizing, mapping and understanding ‘riverscapes’. Spatiotemporally explicit perspectives of rivers and their biota nested within the socio‐ecological landscape now provide guiding principles and approaches in inland fisheries and watershed management. During the last two decades, scientific literature on riverscapes has increased rapidly, indicating that the term and associated approaches are serving an important purpose in freshwater science and management. We trace the origins and theoretical foundations of riverscape perspectives and approaches and examine trends in the published literature to assess the state of the science and demonstrate how they are being applied to address recent challenges in the management of riverine ecosystems. We focus on approaches for studying and visualizing rivers and streams with remote sensing, modelling and sampling designs that enable pattern detection as seen from above (e.g. river channel, floodplain, and riparian areas) but also into the water itself (e.g. aquatic organisms and the aqueous environment). Key concepts from landscape ecology that are central to riverscape approaches are heterogeneity, scale (resolution, extent and scope) and connectivity (structural and functional), which underpin spatial and temporal aspects of study design, data collection and analysis. Mapping of physical and biological characteristics of rivers and floodplains with high‐resolution, spatially intensive techniques improves understanding of the causes and ecological consequences of spatial patterns at multiple scales. This information is crucial for managing river ecosystems, especially for the successful implementation of conservation, restoration and monitoring programs. Recent advances in remote sensing, field‐sampling approaches and geospatial technology are making it increasingly feasible to collect high‐resolution data over larger scales in space and time. We highlight challenges and opportunities and discuss future avenues of research with emerging tools that can potentially help to overcome obstacles to collecting, analysing and displaying these data. This synthesis is intended to help researchers and resource managers understand and apply these concepts and approaches to address real‐world problems in freshwater management.
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