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首页> 外文期刊>Annual review of marine science >New Approaches to Marine Conservation Through the Scaling Up of Ecological Data
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New Approaches to Marine Conservation Through the Scaling Up of Ecological Data

机译：通过扩大生态数据的新方法

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In an era of rapid global change, conservation managers urgently need improved tools to track and counter declining ecosystem conditions. This need is particularly acute in the marine realm, where threats are out of sight, inadequately mapped, cumulative, and often poorly understood, thereby generating impacts that are inefficiently managed. Recent advances in macroecology, statistical analysis, and the compilation of global data will play a central role in improving conservation outcomes, provided that global, regional, and local data streams can be integrated to produce locally relevant and interpretable outputs. Progress will be assisted by (a) expanded rollout of systematic surveys that quantify species patterns, including some carried out with help from citizen scientists; (b) coordinated experimental research networks that utilize large-scale manipulations to identify mechanisms underlying these patterns; (c) improved understanding of consequences of threats through the application of recently developed statistical techniques to analyze global species' distributional data and associated environmental and socioeconomic factors; (d) development of reliable ecological indicators for accurate and comprehensible tracking of threats; and (e) improved data-handling and communication tools.
机译：在全球化快速变革时代，保护管理人员迫切需要改进的工具来跟踪和抵消生态系统条件下降。在海洋领域中，这种需求特别严重，其中威胁不受影响，映射，累积，且经常理解，从而产生效率低下的影响。宏观学中的最新进展，统计分析和全球数据的汇编将在改善保护成果方面发挥着核心作用，只要全球，区域和本地数据流可以集成以产生当地相关和可解释的产出。 （a）将促进进展的进展（a）展开的系统调查，这些推出量化物种模式，包括一些与公民科学家帮助的帮助; （b）协调的实验研究网络，利用大规模操纵来识别这些模式的基础机制; （c）通过应用最近开发的统计技术来分析全球物种分配数据和相关环境和社会经济因素，改善了对威胁后果的理解; （d）制定可靠的生态指标，以准确和理解的威胁跟踪; （e）改进了数据处理和通信工具。

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