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首页> 外文期刊>Frontiers in Marine Science >Local Biomass Baselines and the Recovery Potential for Hawaiian Coral Reef Fish Communities
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Local Biomass Baselines and the Recovery Potential for Hawaiian Coral Reef Fish Communities

机译:当地生物量基准和夏威夷珊瑚礁鱼类群落的恢复潜力

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Understanding the influence of multiple ecosystem drivers, both natural and anthropogenic, and how they vary across space is critical to the spatial management of coral reef fisheries. In Hawaii, as elsewhere, there is uncertainty with regards to how areas should be selected for protection, and management efforts prioritized. One strategy is to prioritize efforts based on an area’s biomass baseline, or natural capacity to support reef fish populations. Another strategy is to prioritize areas based on their recovery potential, or in other words, the potential increase in fish biomass from present-day state, should management be effective at restoring assemblages to something more like their baseline state. We used data from 717 fisheries-independent reef fish monitoring surveys from 2012-2015 around the main Hawaiian Islands as well as site-level data on benthic habitat, oceanographic conditions, and human population density, to develop a hierarchical, linear Bayesian model that explains spatial variation in: (1) herbivorous and (2) total reef fish biomass. We found that while human population density negatively affected fish assemblages at all surveyed areas, there was considerable variation in the natural capacity of different areas to support reef fish biomass. For example, some areas were predicted to have the capacity to support ten times as much herbivorous fish biomass as other areas. Overall, the model found human population density to have negatively impacted fish biomass throughout Hawaii, however the magnitude and uncertainty of these impacts varied locally. Results provide part of the basis for marine spatial planning and/or MPA-network design within Hawaii.
机译:了解自然和人为的多种生态系统驱动因素的影响,以及它们在空间上的变化方式,对珊瑚礁渔业的空间管理至关重要。在夏威夷和其他地方一样,在如何选择保护区域以及确定管理工作的优先次序方面存在不确定性。一种策略是根据某个地区的生物量基线或支持珊瑚鱼种群的自然能力来确定工作的优先级。另一个策略是,根据管理区域的恢复潜力,换句话说,鱼类生物量从当前状态的增长潜力来对区域进行优先排序,前提是管理人员能够有效地将组合恢复到更像其基线状态。我们使用了从2012年至2015年在夏威夷各主要岛屿进行的717次与渔业无关的珊瑚鱼监测调查数据以及底栖生境,海洋学条件和人口密度的站点级数据,以开发出一种分层的线性贝叶斯模型,该模型可以解释(1)草食性和(2)礁鱼总生物量的空间变化。我们发现,尽管人口密度对所有调查地区的鱼类种群均产生负面影响,但不同地区支持珊瑚礁鱼类生物量的自然能力存在很大差异。例如,据预测,某些地区有能力支持食草鱼类生物量,是其他地区的十倍。总体而言,该模型发现人口密度对整个夏威夷的鱼类生物量产生了负面影响,但是这些影响的程度和不确定性在当地各不相同。结果为夏威夷内的海洋空间规划和/或MPA网络设计提供了部分基础。

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