This is a methodological paper aimed at comparing methods to assess regional biodiversity. In more detail we compared the effectiveness of hotspots of species richness, of rarity and complementarity in evaluating local animal diversity. Species distributions were sampled over a 10 x 10 km UTM grid across the Italian territory. We considered 471 species of zygaenids, butterflies, carabines, amphibians and reptiles. Hotspots were analysed at national and regional levels and considered taxa either all together, or separately. To test the predictive value of complementarity analysis, we initially excluded zygaenids. At national level, of 3218 10 x 10 km UTM quadrats sampled, 161 (5% of total) had highest species richness. Islands included only 1 hotspot (Sicily). Sixty-eight species (14.4%) were not represented. They were mainly endemic (65%), insular (73.5%), or rare (25%). Working taxon by taxon, hotspots numbered 433. Only 85 (19.6%) were hotspots contemporaneously for two taxa and only 9 were hotspots for 3 taxa. Missing species were fundamentally insular species. The regional-level approach generated 467 hotspots. Eleven species were not represented (2.3%). They had marginal distributions, or were insular endemites. Hotspots of rarity numbered 235 and 10 species were not included. Results demonstrated that hotspots are poor predictors of overall biodiversity. The complementarity method identified 67 quadrats. By definition, these quadrats accounted for all species investigated. They failed, however, to predict the occurrence of three zygaenids. As expected, complementarity provided better results than hotspots analysis. Combining the two methods assures that areas having the highest biodiversity are identified, even working with incomplete databases. Regional or rarity hotspots should generally be preferred to hotspots of species richness.
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机译:这是一份方法论论文,旨在比较评估区域生物多样性的方法。更详细地,我们比较了物种丰富度,稀有性和互补性热点在评估当地动物多样性方面的有效性。物种分布是在整个意大利领土的10 x 10 km UTM网格上采样的。我们考虑了471种zynaenids,蝴蝶,carabines,两栖动物和爬行动物。在国家和地区级别分析了热点,并一起或分别考虑了分类单元。为了测试互补性分析的预测价值,我们最初排除了合子类。在国家一级,对3218个10 x 10 km的UTM样方进行采样,其中161个(占总数的5%)物种丰富度最高。群岛仅包括1个热点(西西里岛)。没有代表68种(14.4%)。它们主要是地方性的(65%),岛状的(73.5%)或罕见的(25%)。按分类单元的工作分类单元,热点数为433。只有85个(19.6%)是两个分类单元的同期热点,只有9个是三个分类单元的热点。缺少的物种基本上是孤立的物种。区域级方法产生了467个热点。 11种没有被代表(2.3%)。它们具有边缘分布,或者是岛屿特有种。稀有的235个热点和10个物种不包括在内。结果表明,热点是整体生物多样性的不良预测指标。互补方法确定了67个四边形。根据定义,这些四足动物占所有调查的物种。但是,他们未能预测出三种合子虫的发生。不出所料,互补性提供了比热点分析更好的结果。结合使用这两种方法,即使使用不完整的数据库,也可以确保确定生物多样性最高的地区。通常应优先选择区域或稀有热点,而不是物种丰富的热点。
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