Essential biodiversity variables for mapping and monitoring species populations
Essential biodiversity variables for mapping and monitoring species populations
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DOI：
10.1038/s41559-019-0826-1
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发表时间：
2019-04-01
影响因子：
16.8
通讯作者：
Turak, Eren
中科院分区：
文献类型：
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作者：
Jetz, Walter;McGeoch, Melodic A.;Turak, Eren
物种分布和丰度在世界范围内正在发生迅速变化。这突出表明，可靠的综合信息对于指导和评估旨在管理和维持物种的多种功能和利益的行动和政策具有重要意义。在这里，我们综合了实现这种整合所需的数据和方法的类型，并将“基本生物多样性变量”（EBVs）概念化，以便在空间和时间上统一捕获全球物种种群。原始生物多样性数据固有的异质性和稀疏性通过使用模型和遥感协变量来克服，以便为在空间和时间上连续的全球范围的预测提供信息。我们将物种种群EBVs定义为一个空间-时间-物种-gram（立方体），它同时处理多个物种的分布或丰度，其分辨率经过调整以代表可用的证据和可接受的不确定性水平。这一基本信息使得能够在与研究和决策相关的尺度上监测单个或总体空间或分类单位。当与辅助环境或物种数据相结合时，这一基本的物种种群信息直接支持一系列生物多样性和生态系统功能指标。我们提出的统一概念将不同的数据与下游用途联系起来，并为物种种群监测提供了一个愿景，其中数据收集与模型和基础设施紧密结合，以支持有效的生物多样性评估。
Species distributions and abundances are undergoing rapid changes worldwide. This highlights the significance of reliable, integrated information for guiding and assessing actions and policies aimed at managing and sustaining the many functions and benefits of species. Here we synthesize the types of data and approaches that are required to achieve such an integration and conceptualize 'essential biodiversity variables' (EBVs) for a unified global capture of species populations in space and time. The inherent heterogeneity and sparseness of raw biodiversity data are overcome by the use of models and remotely sensed covariates to inform predictions that are contiguous in space and time and global in extent. We define the species population EBVs as a space-time-species-gram (cube) that simultaneously addresses the distribution or abundance of multiple species, with its resolution adjusted to represent available evidence and acceptable levels of uncertainty. This essential information enables the monitoring of single or aggregate spatial or taxonomic units at scales relevant to research and decision-making. When combined with ancillary environmental or species data, this fundamental species population information directly underpins a range of biodiversity and ecosystem function indicators. The unified concept we present links disparate data to downstream uses and informs a vision for species population monitoring in which data collection is closely integrated with models and infrastructure to support effective biodiversity assessment.