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Cetacean conservation planning in a global diversity hotspot: dealing with uncertainty and data deficiencies

机译:全球多样性热点中的鲸类保护计划:处理不确定性和数据缺陷

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Many cetacean species are at risk from anthropogenic disturbances including climate change, pollution, and habitat degradation. Identifying cetacean hotspots for conservation management is therefore required. Aotearoa–New Zealand waters are used by 53% of the world’s cetacean species and are a global cetacean diversity hotspot. Using geographic predictions of cetacean taxa, we aimed to identify important areas within New Zealand waters using two methods: estimates of cetacean richness and a spatial prioritization analysis. For both methods, we investigated how varying levels of uncertainty in predictions of the taxa’ occurrence layers would affect our interpretation of cetacean hotspots. Despite some marked spatial differences in distribution of important areas for cetacean diversity, both methods, across all uncertainty scenarios, highlighted six distinct deep offshore regions as important habitat. Generally, inshore areas had lower richness estimates than offshore areas, but these remain important for conservation for species with limited ranges (e.g., the endemic Māui and Hector’s dolphins), and in some places had similar richness values to offshore hotspots. Furthermore, inshore hotspots had lower uncertainty in predicted taxa distribution and richness estimates. The use of two different uncertainty estimates allows the integration of distributional information from differing sources (different modeling methods with varying numbers of cetacean records) to be integrated in a robust and conservative way. Identification of cetacean hotspots with varying levels of uncertainty provides a robust and efficient step toward prioritizing areas for conservation management in a participatory process.
机译:许多鲸类物种面临人为紊乱的风险,包括气候变化,污染和栖息地降解。因此需要识别保护管理的Cetacean热点。 AOTearoa-New Zealand Waters由53%的鲸类物种使用,是全球鲸类多样性热点。利用鲸类分类的地理预测,我们旨在使用两种方法识别新西兰水域中的重要地区:缩短鲸类丰富和空间优先级分析。对于这两种方法,我们调查了分类群的预测中的不确定性水平如何影响我们对鲸类热点的解释。尽管有一些明显的空间差异,但鲸类多样性的重要领域的分布差异,这两种方法都跨越所有不确定性情景,突出了六个不同的深层离岸地区作为重要的栖息地。一般来说,近海地区的估计较低的估计比离岸地区较低,但这些对具有有限范围的物种的保护仍然很重要(例如,人权Māui和赫克隆的海豚),并且在某些地方对海上热点具有类似的丰富度值。此外,近孔热点在预测的分类群分配和丰富性估算中具有较低的不确定性。使用两个不同的不确定性估计允许将分配信息与不同源(具有不同数量的缩放记录数量的不同建模方法)集成,以稳健和保守的方式整合。鉴定具有不同不确定性水平的鲸类热点提供了一个稳健而有效的步骤,迈向参与过程中的保护管理领域优先考虑。

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