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首页> 外文期刊>Journal of Biogeography >Parsimony analysis of endemicity and its application to animal and plant geographical distributions in the Ibero-Balearic region (western Mediterranean)
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Parsimony analysis of endemicity and its application to animal and plant geographical distributions in the Ibero-Balearic region (western Mediterranean)

机译:流行性的简约分析及其在伊比利亚-巴利阿里地区(地中海西部)的动植物地理分布中的应用

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Aim The geographical distributions of animal and plant species endemic to the Iberian Peninsula and Balearic Islands were analysed to locate and designate areas of endemicity. Location The Iberian Peninsula and the three largest Balearic Islands (Mallorca, Menorca and Ibiza) in the western Mediterranean, West Palaearctic region. Methods The information analysed consisted of presence/absence data of animal and plant species, recorded on a 100 * 100 km grid based on the UTM projection system. From a larger initial data set, a simplified matrix of 480 species present in at least two quadrats was obtained, and processed to estimate the overall similarity patterns across land squares, and the areas of endemism. Two methods were employed to detect areas of endemism: Wagner Parsimony (PAE, or parsimony analysis of endemicity) and compatibility. A modification of PAE, PAE-PCE (Parsimony analysis of endemicity with progressive character elimination) was applied to overcome some of the potential shortcomings of the method. Results The results represent the first attempt for a combined analysis of animal and plant distributions in the western Mediterranean. The proposed PAE-PCE procedure proved useful to identify areas of endemism that would have been otherwise overlooked. Up to thirty-six different areas of endemisms were identified. Some of these represent concentric (hierarchically nested) structures, while other are partly overlapping sectors. The endemism areas, as derived from parsimony and compatibility analyses, generally fit within the frame of the overall similarity approach. Main conclusions The areas of endemicity identified often coincide with mountain sectors, and this may be of incidental interest for conservation policies as most natural preserves in the study area are located in mountain ranges. The conclusions are of interest for large scale approaches to the biogeography of the Mediterranean Basin, facilitating the selection of endemism areas for operative purposes. However, most of the best supported areas of endemism detected are relatively small, or overlap with neighbouring endemism areas. Hence, adopting large area units such as 'Iberia' for historical analysis at a wider geographical scale may be risky, because such units may actually represent composite sectors of an heterogeneous nature. The distribution of the areas of endemism, as well as the results of the overall similarity classification, share a number of features with previous sectorizations from independent, mostly phytogeographical, approaches. Parsimony analysis of endemicity is a potentially useful tool for identifying areas designated by species with congruent distributions, but (1) the results have no direct historical implications (for phylogenetic information is not incorporated), and (2) unless modifications such as the PAE-PCE procedure are applied, the number of potential areas of endemism (in the sense stated above) will often be underestimated. It is also shown that, in a PAE, a 'total evidence' approach is to be preferred to a consensus of partial (taxon-specific) results.
机译:目的分析伊比利亚半岛和巴利阿里群岛特有的动植物物种的地理分布,以定位和指定地方性地区。地点伊比利亚半岛和地中海西部,西帕拉雷克蒂克地区的三个最大的巴利阿里群岛(马洛卡岛,梅诺卡岛和伊维萨岛)。方法分析的信息包括动植物物种的有无数据,这些数据基于UTM投影系统记录在100 * 100 km的网格上。从一个更大的初始数据集中,获得了至少两个四足动物中存在的480种物种的简化矩阵,并对矩阵进行了处理,以估计整个土地平方和特有区域的总体相似性模式。两种方法被用来检测地方病领域:Wagner简约(PAE,或流行的简约分析)和兼容性。为了克服该方法的一些潜在缺点,对PAE进行了修改,即PAE-PCE(流行性的简约分析,并进行了渐进式字符消除)。结果结果代表了对地中海西部动植物分布进行综合分析的首次尝试。事实证明,拟议的PAE-PCE程序对于识别原本会被忽视的地方性疾病很有用。查明了多达36个不同的地方特有领域。其中一些代表同心(分层嵌套)结构,而另一些则部分重叠。从简约性和兼容性分析中得出的地方性领域通常适合于整体相似性方法的框架。主要结论确定的地方性地区通常与山区一致,这对于保护政策可能是偶然的,因为研究区域中的大多数自然保护区都位于山区。这些结论对于地中海盆地生物地理学的大规模研究是有意义的,这有利于为操作目的选择地方性地区。但是,检测到的大多数地方病流行的最佳支持地区相对较小,或与邻近的地方病流行区域重叠。因此,在较大的地理范围内采用大面积单位(例如“伊比利亚”)进行历史分析可能是有风险的,因为此类单位实际上可能代表不同性质的复合部门。地方特有区域的分布以及总体相似性分类的结果与以前采用独立方法(主要是植物地理方法)的部门划分具有许多特征。稀有度的简约分析是一种潜在的有用工具,可用来确定由物种指定的区域具有一致的分布,但是(1)结果没有直接的历史意义(不包含系统发育信息),并且(2)除非进行了诸如PAE-应用PCE程序,可能会低估潜在的地方性流行区域的数量(在上述意义上)。还表明,在PAE中,相对于部分(特定于分类群)结果的共识,应首选“全部证据”方法。

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