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Reserve selection in the Succulent Karoo, South Africa: coping with highcompositional turnover

机译:南非多肉植物Karoo的储量选择:应对高组合周转率

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The Succulent Karoo biome is home to the world's richest succulent flora. It has approximately 1954 endemic plant species, and is the only semi-arid region to qualify as a hotspot of global significance. Despite its importance, only 2% of the biome is currently protected. Based on its flora, the biome can be divided into 12 bioregions, reflecting its high compositional turnover in relation to environmental and geographical gradients. Only three of these bioregions (the Gariep Centre, the Namaqualand Rocky Hills and the Tanqua Karoo) contain National Parks, and three contain large (over 10 000 ha) provincial reserves (the Gariep Centre, the Namaqualand Rocky Hills and the Little Karoo). The current reserve system does little to conserve biodiversity, with only one reserve significantly conserving Red Data Book (RDB) plant diversity. Using a RDB plant species database of 3874 records at a quarter degree scale (QDS = 15'x15'), we used hotspot analyses and iterative reserve selection algorithms to identify possible locations for future reserves. The hotspot analysis and iterative analyses yielded similar results for the top 11 QDS, mainly due to very high local endemism. Also because of the local endemism and the high species turnover within the biome, the real-world iterative algorithm (starting with the seven already reserved QDS) selected a very large total number of QDS (59% of the total in the biome) to conserve all RDB species. As a possible alternative to conservation planning based on QDS, we also assessed priorities at the scale of bioregions, but showed that representation at this geographic level misses important areas defined at a finer scale. We suggest that if the objective is to maximise the retention of RDB species in the landscape (to pre-empt extinction by scheduling the allocation of limited conservation resources), at least the top 5% of QDS (n=11) selected by the iterative procedure, and identified as the core conservation sequence by analysis of endemicity and threat, should be given priority for reservation. Less extensive and, in some cases, less formal conservation action can be applied to QDS later in the sequence, based on species-specific monitoring and action plans. Of the 11 core areas, four fall in a node centred on the Vanrhynsdorp Centre, two fall in a node centred on the Kamiesberg, and the remaining five are isolated. With existing reserves, the core areas capture 50% of the RDB flora in 8% of the biome.
机译:Karoo多肉植物群系是世界上最丰富的多肉植物群的所在地。它拥有大约1954种特有植物物种,并且是唯一一个具有全球重要性的热点地区的半干旱地区。尽管具有重要意义,目前只有2%的生物群落受到了保护。根据其菌群,该生物群落可分为12个生物区域,反映了其相对于环境和地理梯度的高成分转换。这些生物区域中只有三个(加里耶普中心,纳马夸兰洛矶山和坦夸卡鲁)拥有国家公园,而三个则拥有大型(超过10000公顷)的省级保护区(加里耶普中心,纳马夸兰洛基山和小卡鲁)。当前的保护区系统对保护生物多样性几乎无济于事,只有一个保护区可以大大保护《红色数据手册》(RDB)植物多样性。使用四分之一度尺度(QDS = 15'x15')的RDB植物物种数据库,记录了3874条记录,我们使用了热点分析和迭代保护区选择算法来确定未来保护区的可能位置。热点分析和迭代分析对前11个QDS产生了相似的结果,这主要是由于本地特有度很高。同样由于生物群落内部的地方特有性和高物种周转率,现实世界中的迭代算法(从七个已经保留的QDS开始)选择了非常大量的QDS(占生物群落总数的59%)所有RDB物种。作为基于QDS的保护计划的一种可能替代方案,我们还评估了生物区域范围内的优先级,但表明在此地理级别上的代表性错过了在更精细的范围内定义的重要区域。我们建议,如果目标是最大程度地保留RDB物种在景观中的位置(通过安排有限的保护资源来避免灭绝),则至少要通过迭代选择QDS的前5%(n = 11)程序,并通过对地方性和威胁的分析确定为核心保护序列,应优先保留。基于特定于物种的监测和行动计划,可以在序列的后期将不太广泛的保护行动,在某些情况下可以将不太正式的保护行动应用于QDS。在这11个核心区域中,有四个落在以Vanrhynsdorp中心为中心的节点上,两个落在以Kamiesberg为中心的节点上,其余五个则是孤立的。有了现有的保护区,核心区域将在8%的生物群落中捕获RDB植物区系的50%。

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