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Species and environment representation: selecting reserves for theretention of avian diversity in KwaZulu-Natal, South Africa

机译:物种和环境代表:在南非夸祖鲁-纳塔尔省,为保留鸟类多样性而选择保护区

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Multivariate analyses and complementarity-based reserve selection algorithms were used as tools for delimiting representative conservation areas in KwaZulu-Natal, South Africa, based on environmental variables and records for 566 breeding and nonbreeding birds. The relationships between species assemblages and 20 environmental variables were investigated; including climate, topography, vegetation, landscape attributes, and land-use. Detrended correspondence analysis, canonical correspondence analysis, and hierarchical classification suggested that the major gradients of bird species variation are primarily related to climatic variables such as growing season temperature and seasonality of precipitation, reflecting the strong;east-west gradient in oceanicity in KwaZulu-Natal, and water balance, reflecting a strong north-south gradient in aridity. Hierarchical classification was applied to the ordination data and revealed five representative types of bird communities. Four of the five bird communities and 37 species are under-represented in the existing reserve system, and the environmental processes required for long-term maintenance of birds have not been adequately sampled, showing that additional reserves are needed to ensure a more functional representative system. As an alternative, the inclusion of species spatial turnover structure together with associated environmental gradients were employed in both rarity and richness-based complementary reserve selection algorithms to provide a better representation of birds and environmental processes. Improvements on the current generation of reserve selection techniques derived by including ordination analysis and spatial structure are discussed.
机译:基于环境变量和566种繁殖和非繁殖鸟类的记录,将多变量分析和基于互补性的储量选择算法用作界定南非夸祖鲁-纳塔尔省代表性保护区的工具。研究了物种组成与20个环境变量之间的关系;包括气候,地形,植被,景观属性和土地利用。趋势去趋势对应分析,典范对应分析和层次分类表明,鸟类物种变化的主要梯度主要与气候变量有关,例如生长季节温度和降水季节,反映了夸祖鲁-纳塔尔省海洋性的强的东西向梯度。和水平衡,反映出干旱地区南北梯度强烈。将等级分类应用于排序数据,并揭示了五种代表性的鸟类群落。在现有的保护区系统中,五个鸟类群落中的四个和37个物种的代表性不足,对鸟类的长期维护所需的环境过程没有得到足够的采样,这表明需要更多的保护区来确保更具功能性的代表性系统。作为一种替代方案,在基于稀有度和丰富度的补充保护区选择算法中都采用了物种空间周转结构以及相关的环境梯度,以更好地表示鸟类和环境过程。讨论了通过包括排序分析和空间结构得出的对当前储量选择技术的改进。

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