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首页> 外文期刊>The Italian Journal of Zoology >Landscape of amphibian diversity in Latium Region: peaks, valleys and gaps of conservation priority
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Landscape of amphibian diversity in Latium Region: peaks, valleys and gaps of conservation priority

机译:t地区的两栖动物多样性景观:高峰,低谷和保护重点的差距

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摘要

Faunistic inventories of particular regions would provide essential datasets for conservation and resource management, but often data are not evenly distributed through the space and time as a consequence of an unequal sampling effort. Therefore, to accurately estimate species diversity it is necessary to minimize this potential confounding effect embedded within most existing datasets. In this study, we identified as high-priority conservation targets areas of high-value species diversity of amphibians in Latium (Central Italy), by illustrating a methodology to generate biodiversity patterns from very heterogeneous datasets, which accounts for the relationships between species richness and sampling effort. We analyzed 6656 data records collected from 1991-2011, which were assigned to the corresponding 10x10 km cell of the UTM grid. In order to remove the bias introduced by the differential field effort across cells, we used regression analyses after applying a curve estimation procedure. Then, wevalidated the best regression model by comparing species richness estimated using this model against that obtained using rarefaction curves. Our results show that the use of residuals can be a suitable approach for controlling the influence of sampling effort on the observed species richness except in a very unequal distribution of the records. Indeed, residuals can be calculated for any cells, irrespective of the observation effort, while when using rarefaction curves a relatively high number of records per cell is required. Finally, when contrasting the amphibian diversity pattern with the existing network of protected areas, several conservation gaps are identified in Latium, especially in mountainous areas.
机译:特定区域的动物主义清单将为保护和资源管理提供必要的数据集,但由于抽样工作不平等,数据往往无法在空间和时间上均匀分布。因此,为了准确地估计物种多样性,有必要使嵌入在大多数现有数据集中的这种潜在的混杂效应最小化。在这项研究中,我们通过举例说明了从非常异类的数据集生成生物多样性模式的方法,从而确定了物种丰富度与生态系统之间的关系,从而确定了Latium(意大利中部)两栖动物高价值物种多样性的高度优先保护目标区域。抽样工作。我们分析了1991-2011年收集的6656个数据记录,这些记录被分配给了UTM网格的相应10x10 km单元。为了消除跨单元的差分场力引入的偏差,我们在应用曲线估计程序后使用了回归分析。然后,通过将使用该模型估算的物种丰富度与使用稀疏曲线获得的物种丰富度进行比较,我们验证了最佳回归模型。我们的结果表明,使用残差可能是控制采样工作对观察到的物种丰富度影响的合适方法,除非记录的分配非常不均。确实,可以为任何单元计算残差,而与观察工作无关,而在使用稀疏曲线时,每个单元需要相对大量的记录。最后,当将两栖动物多样性模式与现有保护区网络进行对比时,在t中,特别是在山区,存在几个保护空白。

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