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Improving spatial prioritisation for remote marine regions: optimising biodiversity conservation and sustainable development trade-offs

机译:改善偏远海洋区域的空间优先次序:优化生物多样性保护和可持续发展的权衡

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Creating large conservation zones in remote areas, with less intense stakeholder overlap and limited environmental information, requires periodic review to ensure zonation mitigates primary threats and fill gaps in representation, while achieving conservation targets. Follow-up reviews can utilise improved methods and data, potentially identifying new planning options yielding a desirable balance between stakeholder interests. This research explored a marine zoning system in north-west Australia-a biodiverse area with poorly documented biota. Although remote, it is economically significant (i.e. petroleum extraction and fishing). Stakeholder engagement was used to source the best available biodiversity and socio-economic data and advanced spatial analyses produced 765 high resolution data layers, including 674 species distributions representing 119 families. Gap analysis revealed the current proposed zoning system as inadequate, with 98.2% of species below the Convention on Biological Diversity 10% representation targets. A systematic conservation planning algorithm Maxan provided zoning options to meet representation targets while balancing this with industry interests. Resulting scenarios revealed that conservation targets could be met with minimal impacts on petroleum and fishing industries, with estimated losses of 4.9% and 7.2% respectively. The approach addressed important knowledge gaps and provided a powerful and transparent method to reconcile industry interests with marine conservation.
机译:在边远地区建立大型保护区,减少利益相关者的重叠,限制环境信息,需要定期检查以确保分区减轻主要威胁并填补代表性方面的空白,同时实现保护目标。后续审查可以利用改进的方法和数据,从而潜在地确定新的计划选择,从而在利益相关者的利益之间取得理想的平衡。这项研究探索了澳大利亚西北部的一个海洋分区系统,这是一个生物多样性较少的生物多样性地区。虽然很遥远,但在经济上意义重大(例如石油开采和捕鱼)。利益相关者的参与被用来获取最佳的生物多样性和社会经济数据,而先进的空间分析产生了765个高分辨率数据层,包括代表119个科的674种物种。差距分析表明,目前提议的分区制度不完善,低于《生物多样性公约》的物种的98.2%代表了10%的指标。系统的养护规划算法Maxan提供了分区选项,以满足代表性目标,同时又与行业利益保持平衡。结果表明,保护目标可以实现,而对石油和渔业的影响却最小,估计损失分别为4.9%和7.2%。该方法解决了重要的知识空白,并提供了一种强大而透明的方法来协调行业利益与海洋保护。

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