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Comparability and complementarity of reef fish measures from underwater visual census (UVC) and baited remote underwater video stations (BRUVS)

机译:来自水下视觉人口普查(UVC)和诱饵远程水下视频站(BRUV)的礁鱼措施的可比性和互补性

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The much-publicized threats to coral reef systems necessitate a considered management response based on comprehensive ecological data. However, data from large reef systems commonly originate from multiple monitoring programs that use different methods, each with distinct biases that limit united assessments of ecological status. The effective integration of data from different monitoring methods would allow better assessment of system status and hence, more informed management. Here we examine the scope for comparability and complementarity of fish data from two different methods used on Australia's Great Barrier Reef (GBR): underwater visual census (UVC) and baited remote underwater video stations (BRUVS). We compared commonly reported reef fish measures from UVC and BRUVS on similar reef slope habitats of three central GBR reefs. Both methods recorded similar estimates of total species richness, although ~30% of recorded species were not common to both methods. There were marked differences between methods in sub-group species richness, frequency of species occurrences, relative abundances of taxa and assemblage structure. The magnitude and orientation of inter-method differences were often inconsistent among taxa. However, each method better categorized certain components of fish communities: BRUVS sampled more predatory species in higher numbers while UVC was similarly better at sampling damselfishes (Pomacentridae). Our results suggest limited scope for direct or adjusted comparisons of data from UVC and BRUVS. Conversely, complementary aspects of the two methods confirm that their integration in monitoring programs will provide a more complete and extensive assessment of reef fish status for managers than from either method alone.
机译:对珊瑚礁系统的众多宣传威胁需要基于综合生态数据进行考虑的管理响应。然而,来自大型礁系统的数据通常来自使用不同方法的多个监控程序,每个程序都有不同的偏见,这些偏差限制了对生态状态的联合评估。来自不同监控方法的数据的有效集成将更好地评估系统状态,从而更好地评估,更明智的管理。在这里,我们从澳大利亚的大堡礁(GBR)中使用的两种不同方法检查鱼类数据的可比性和互补性的范围:水下视觉人口普查(UVC)和诱饵远程水下视频站(BRUV)。我们将常见报道的珊瑚礁鱼措施与三个中央GBR礁相似的礁石坡栖息地进行了普通的UVC和BRUV。两种方法记录了具有物种的估计的估计,虽然〜30%的记录物种对两种方法都不常见。分组物种丰富性,物种频率,种类频率,分类率和组合结构的相对丰富之间存在明显差异。分类群之间的方法间差异的幅度和定向通常不一致。然而,每种方法都更好地分类了鱼群的某些组件:BRUV在更高的数量上采样更多的捕食性物种,而UVC在采样叶逸(Pomacentridae)上同样更好地更好。我们的结果表明,来自UVC和BRUV的直接或调整数据的直接或调整的数据的范围有限。相反,两种方法的补充方面证实,他们在监测方案中的整合将为管理者提供比单独的方法更完整和广泛的珊瑚鱼地位评估。

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