A quantitative approach for conservation of endangered and endemic plants from Kosovo, SE Europe

Pub Date : 2020-04-01 DOI:10.2478/foecol-2020-0007
Naim Berisha, E. Krasniqi, F. Millaku
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引用次数: 8

Abstract

Abstract Basic patterns of most priority biodiversity areas of Kosovo that shall be considered for conservation studies are offered here. On this work, all plant taxa that are included in the Kosovarian Red list are analysed and their analogy is interpreted to conservation priority hotspots. Kosovo represents an important centre for Balkan biodiversity; therefore a quantitative evaluation of the importance of different priority areas for conserving plant diversity of Kosovo is very much needed. This study provides a detailed quantitative approach concerning the identification of priority areas for biodiversity conservation, using threatened and endangered plant taxa in well-known grid squares system. Used grid squares (20 × 20 km) were classified into four different groups in terms of their conservation importance. Valuation factors taken into account are IUCN based risk category, endemism as well as ecological and distributional attributes. The results indicated that there are four grid squares – D4 (0.4300), G7 (0.3910), G8 (0.2750) and E4 (0.2860), that have remarkable conservation importance. These grid squares are all located along mostly high-elevation areas of two National Parks in Kosovo. These national scale data should prove to be very appropriate and easy to follow evidence for environmental decision-making bodies as well as be used for further research.
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东南欧科索沃濒危和特有植物保护的定量方法
摘要这里提供了应考虑进行保护研究的科索沃最优先生物多样性地区的基本模式。在这项工作中,对科索夫红名单中的所有植物分类群进行了分析,并将它们的相似性解释为保护优先热点。科索沃是巴尔干生物多样性的重要中心;因此,非常需要对不同优先领域对保护科索沃植物多样性的重要性进行定量评估。这项研究提供了一种详细的定量方法来确定生物多样性保护的优先区域,使用著名的网格正方形系统中的受威胁和濒危植物分类群。根据其保护重要性,将使用过的网格正方形(20×20km)分为四组。考虑的评估因素包括基于国际自然保护联盟的风险类别、特有性以及生态和分布属性。结果表明,有四个网格正方形——D4(0.4300)、G7(0.3910)、G8(0.2750)和E4(0.2860),具有显著的保护重要性。这些网格广场都位于科索沃两个国家公园的大部分高海拔地区。这些国家规模的数据应该被证明是环境决策机构非常合适和易于遵循的证据,并用于进一步的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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