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首页> 外文期刊>Marine ecology >Stationary underwater cameras assess more efficiently clear-water mangrove fish assemblages: A comparison of non-extractive techniques
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Stationary underwater cameras assess more efficiently clear-water mangrove fish assemblages: A comparison of non-extractive techniques

机译：固定的水下相机评估更有效的清水红树鱼组合：非提取技术的比较

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Research in aquatic ecology requires adequate sampling designs if the underlying processes that govern population and community dynamics are to be understood. Adequate sampling design is particularly important for organisms inhabiting environments such as mangroves. Thus, collecting quantitative ecological data remains a major challenge. Here, we analysed the structural and temporal dynamics of a tidal cycle and mangrove fish assemblages at 15 sites along the Brazilian central coast. Specifically, we used two non-extractive sampling techniques, which included stationary underwater visual census (s-UVC) and stationary underwater wide-camera census (s-UWC). Our results showed that by reducing potential observer effects, the s-UWC protocol maximized fish counts, yielding more accurate and precise estimates. In contrast, although the s-UVC technique was a useful approach, this technique did not yield precise density and richness estimates. Furthermore, the negative effect associated with the presence of an observer (i.e., diver) was a significant constraint to the observer-based technique. Furthermore, the methods were more similar for the high tide samples and more divergent for the flood tide and ebb tide samples. These pronounced divergences among tidal periods allowed the application of a temporal mixed-sampling protocol (i.e., unbalanced temporal samples) based on s-UWC without the loss of statistical power. Methodological gains also were felt with a reduction in the costs associated with the presence of a trained observer in water and overcoming of constraints positively related to depth limitations. Overall, the s-UWC protocol adequately captures species using different stages of the tide to enter the mangroves.
机译：如果要理解人口和社区动态的潜在流程，水生生态学的研究需要适当的抽样设计。适当的采样设计对于居住在诸如红树林之类的环境中的生物尤为重要。因此，收集量化生态数据仍然是一个重大挑战。在这里，我们分析了沿巴西中央海岸的15个地点的潮汐周期和红树鱼组合的结构和时间动态。具体地，我们使用了两个非提取采样技术，包括静止水下视觉人口普查（S-UVC）和固定水下宽相机人口普查（S-UWC）。我们的研究结果表明，通过减少潜在观察者效应，S-UWC协议最大化的鱼类计数，产生更准确和精确的估计。相比之下，虽然S-UVC技术是一种有用的方法，但这种技术没有产生精确的密度和丰富度估计。此外，与观察者（即，潜水员）的存在相关的负面影响是对基于观察者的技术的显着限制。此外，对于洪水潮和退潮样品的高潮样本和更分散的方法，这些方法更相似。在潮汐时段之间的这些明显的分歧允许基于S-UWC应用时间混合采样协议（即，不平衡的时间样本）而不会损失统计功率。也认为方法的收益随着与水中观察者的存在相关的成本和克服与深度限制的限制相关的成本减少。总的来说，S-UWC协议使用不同潮汐的不同阶段充分捕获物种来进入红树林。

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