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A multidiversity approach to investigate the impact of mining exploitation on spider diversity in the abandoned mine district of Montevecchio-Ingurtosu (Sardinia, Italy)

机译:一种探讨矿业剥削对蒙特维奇奥町废弃矿区蜘蛛多样性影响的多大型方法,(撒丁岛,意大利)

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The impact of mining activities on spider (Araneae) diversity and assemblages was studied in two abandoned mine sites in Sardinia (Italy), where mining activities started in the middle of the nineteenth century and closed down over a century later. Spider community composition was analysed in dumps, undisturbed forests and scrublands which represent the natural chronosequence following the abandonment of the mining district. The identification of spiders was performed at the lowest taxonomic level possible and differences in abundance, species richness (SR), and functional diversity (FD) were analysed. Nonmetric multidimensional scaling (NMDS) and a permutated multivariate analysis of variance (PERMANOVA) routine were conducted to evaluate the relationships of spider assemblages with land cover, and the indicator species analysis was performed to identify the typifying species. During the entire sampling period, 2312 spiders were captured, and approximately 80% of the total were identified at the species level (79 spider species belonging to 28 different families). No differences in abundance and SR were found, whereas FD, which showed the highest values in forests, significantly differed among sites. A distinct separation among assemblages and a significant effect of the land use on spider assemblages were found (PERMANOVA, R-2 = 0.59, p < 0.001). Twelve species were selected as indicator species. Our results underlined the possibility to consider ground-dwelling spiders as a valuable target group for biomonitoring programmes supporting projects of near-natural restoration and/or technical reclamation of mining sites.
机译:在撒丁岛(意大利)的两个被遗弃的矿山位于撒丁岛(意大利)的两个被遗弃的矿山地区研究了采矿活动对蜘蛛(Araneae)多样性和组合的影响,其中挖掘活动在十九世纪中叶开始,并在一个世纪之后关闭。分析蜘蛛群落组成在倾倒,未受干扰的森林和灌木丛中,这代表了矿区遗弃后的自然时计程度。在最低分类级别可能与丰度差异,品种丰富(SR),进行蜘蛛的识别,和功能多样性(FD)进行了分析。非度量多维尺度(NMDS)和方差(PERMANOVA)例程的置换多变量分析,以评价用土地覆盖蜘蛛组合之间的关系,并进行指示种分析,找出典型化物种。在整个采样期间,捕获2312个蜘蛛,在物种水平上鉴定了大约80%的总量(属于28种不同的家庭的79种蜘蛛物种)。没有发现丰富和SR的差异,而FD显示出森林中最高值,在地点之间显着不同。发现组件中的独特分离和土地使用对蜘蛛组合的显着效果(alperova,R-2 = 0.59,p <0.001)。选择十二种物种作为指示物种。我们的结果强调了将地居蜘蛛视为有价值的目标群体,以支持近乎自然恢复和/或技术填写矿业地区的技术回收项目的生物监测计划。

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