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Knowledge behind conservation status decisions: Data basis for 'Data Deficient' Brazilian plant species

机译:保护状态决策背后的知识:“数据不足”的巴西植物物种的数据基础

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摘要

Methods for evaluating risk of biodiversity loss are linked closely to decisions about species' conservation status, which in turn depend on data documenting species' distributions, population status, and natural history. In Brazil, the scientific community and government have differing points of view regarding which plant species have insufficient data to be accorded a formal threat category, with the official list of threatened flora published by the Brazilian Ministry of Environment listing many fewer species as Data Deficient than a broader list prepared by a large, knowledgeable group of taxonomists. This paper aims to evaluate, using diverse analyses, whether "Digital Accessible Knowledge" is genuinely lacking or insufficient for basic characterization of distributions for 934 angiosperm species classified as Data Deficient on Brazil's official list. Analyses were based on large-scale databases of information associated with herbarium specimens, as part of the speciesLink network. Evaluating these species in terms of completeness of geographic range knowledge accumulated through time, our results show that at least 40.9% of species listed as Data Deficient do not appear genuinely to be particularly lacking in data, but rather may be knowledge-deficient: data exist that can provide rich information about the species, but such data remain unanalyzed and dormant for conservation decision-making. Such approaches may be useful in identifying cases in which data are genuinely lacking regarding conservation status of species, as well as in moving species out of Data Deficient categories and into appropriate threat status classifications
机译:评估生物多样性丧失风险的方法与有关物种保护状况的决策紧密相关,而决策又取决于记录物种分布,种群状况和自然历史的数据。在巴西,科学界和政府对于哪些植物物种的数据不足以被归类为正式威胁类别有不同的观点,巴西环境部公布的官方受威胁植物名单列出的数据不足的物种少于由大量知识渊博的分类学家编写的更广泛的清单。本文旨在通过各种分析来评估“数字无障碍知识”是否真正缺乏或不足,无法对巴西官方名录上被分类为“数据不足”的934个被子植物的分布进行基本表征。分析是基于与物种标本馆网络有关的,与标本室标本有关的大型信息的数据库。根据随时间积累的地理范围知识的完整性评估这些物种,我们的结果表明,至少有40.9%的列为数据不足的物种似乎并不是真正地特别缺乏数据,而可能是知识不足的:存在数据可以提供有关该物种的丰富信息,但是对于保护决策而言,此类数据仍然未经分析且处于休眠状态。此类方法可能有助于识别真正缺乏有关物种保护状况的数据的案例,以及将物种从数据不足类别中移出并转移到适当的威胁状态分类中

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