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Selecting zones in a marine park: Early systematic planning improves cost-efficiency; combining habitat and biotic data improves effectiveness

机译:在海岸公园中选择区域:早期的系统规划可提高成本效益;结合栖息地和生物数据提高有效性

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摘要

Systematic planning, using algorithm tools, can improve biodiversity representation in 'no-take' zones in a marine park while reducing costs of meeting conservation targets. The current zoning plan for the 870 km~2 Solitary Islands Marine Park (SIMP), designed without algorithm tools, provides an example to compare the efficiency of zoning scenarios that include or ignore the existing zoning scheme and to assess the utility of habitat and/or biotic data for planning. Marxan was used to compare representation of habitat categories and a selection of fish species using 3 scenarios for 'no-take' sanctuary zones: 1) clean slate; 2) building on the existing sanctuary zones; and 3) current sanctuary zones (2002 zone plan). Three target levels were considered (10%, 20% and 30% representation of habitats and fish species in sanctuary zones). The use of habitat and fish data combined was compared with results obtained using each dataset separately. The dean-slate option was the most cost-efficient. Extending the existing sanctuary zones to achieve equivalent representation required more area and longer boundaries. For both of these scenarios, a large cross-shelf sanctuary zone at the widest part of SIMP was an important requirement for achieving representation. Neither habitat categories nor reef fish assemblages were fully represented in the current zoning plan. Fish and habitat features combined were more effective than habitat alone at selecting areas known to have high conservation values in the SIMP. The fish data in isolation were too spatially constrained for systematic planning at this scale.
机译:使用算法工具的系统规划可以改善海岸公园“禁区”中生物多样性的代表性,同时降低实现保护目标的成本。在没有算法工具的情况下,当前的870 km〜2孤岛海洋公园(SIMP)分区计划提供了一个示例,可以比较包括或忽略现有分区方案的分区方案的效率,并评估栖息地和//或生物数据进行规划。使用“无采”保护区的3种方案,使用马克思来比较栖息地类别和鱼类种类的表示:1)干净的石板; 2)在现有保护区上建造; 3)当前的庇护区(2002年的区域计划)。考虑了三个目标水平(保护区的栖息地和鱼类物种的比例分别为10%,20%和30%)。将栖息地和鱼类数据组合的使用与分别使用每个数据集获得的结果进行比较。 dean-slate选项是最具成本效益的。扩展现有的保护区以实现同等的代表性需要更多的面积和更长的边界。对于这两种情况,在SIMP的最宽处都有一个较大的跨架保护区是实现代表性的重要要求。在目前的分区计划中,生境类别和礁鱼种类均未得到充分体现。在选择SIMP中具有较高保护价值的区域时,鱼类和栖息地特征的组合比单独的栖息地更有效。孤立的鱼类数据在空间上受限制,无法进行如此规模的系统规划。

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  • 来源
    《Ocean & coastal management》 |2012年第4期|p.1-12|共12页
  • 作者单位

    Solitary Islands Marine Park, NSW Marine Parks Authority, NSW Department of Primary Industries, PO Box 4297 Coffs Harbour Jetty, NSW 2450, Australia;

    Office of Environment and Heritage, PO Box A290, Sydney South NSW 1232, Australia;

    James Cook University, Townsville, OLD, Australia;

    NSW Marine Parks Authority, NSW Department of Primary Industries, Locked Bag 800, Nelson Bay, NSW 2315, Australia;

    Office of Environment and Heritage, PO Box A290, Sydney South NSW 1232, Australia;

    Office of Environment and Heritage, PO Box A290, Sydney South NSW 1232, Australia;

    Solitary Islands Marine Park, NSW Marine Parks Authority, NSW Department of Primary Industries, PO Box 4297 Coffs Harbour Jetty, NSW 2450, Australia;

    Solitary Islands Marine Park, NSW Marine Parks Authority, NSW Department of Primary Industries, PO Box 4297 Coffs Harbour Jetty, NSW 2450, Australia;

    National Marine Science Centre, Southern Cross University, PO Box 4321, Coffs Harbour, NSW 2450, Australia;

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