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Database records as a surrogate for sampling effort provide higher species richness estimations

机译:数据库记录作为抽样工作的替代品,提供了更高的物种丰富度估计

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The compilation of all the available taxonomic and distributional information on the species present in a territory frequently generates a biased picture of the distribution of biodiversity due to the uneven distribution of the sampling effort performed. Thus, quality protocol assessments such as those proposed by Hortal et al. (Conservation Biology 21:853–863, 2007) must be done before using this kind of information for basic and applied purposes. The discrimination of localities that can be considered relatively well-surveyed from those not surveyed enough is a key first step in this protocol and can be attained by the previous definition of a sampling effort surrogate and the calculation of survey completeness using different estimators. Recently it has been suggested that records from exhaustive databases can be used as a sampling-effort surrogate to recognize probable well-surveyed localities. In this paper, we use an Iberian dung beetle database to identify the 50 × 50 km UTM cells that appear to be reliably inventoried, using both data derived from standardized sampling protocols and database records as a surrogate for sampling effort. Observed and predicted species richness values in the shared cells defined as well-surveyed by both methods suggest that the use of database records provides higher species richness values, which are proportionally greater in the richest localities by the inclusion of rare species.
机译:由于所进行的抽样工作分布不均,对一个领土上存在的物种的所有现有分类学和分布信息的汇编经常产生生物多样性分布的偏见。因此,诸如Hortal等人提出的质量协议评估。 (Conservation Biology 21:853–863,2007)必须先进行此类操作,然后再将此类信息用于基本目的和应用目的。在本协议中,关键的第一步是区分可以被较好地调查的地方和未被调查的地方,这可以通过先前对抽样工作替代的定义以及使用不同估计量计算调查完整性来实现。最近,有人建议将穷举数据库中的记录用作一种抽样努力的替代方案,以识别可能情况良好的地点。在本文中,我们使用伊比利亚粪便甲虫数据库来识别50×50 km的UTM信元,这些信元使用标准化抽样协议和数据库记录中的数据作为抽样工作的替代品,可以可靠地进行盘点。通过两种方法定义良好调查的共享单元中观察到的和预测的物种丰富度值表明,数据库记录的使用提供了更高的物种丰富度值,在最丰富的地区中,通过包含稀有物种成比例地更大。

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