Combining energetic profitability and cover effects to evaluate salmonid habitat quality.
Combining energetic profitability and cover effects to evaluate salmonid habitat quality.
复制标题
结合积极的盈利能力和覆盖效应来评估鲑鱼栖息地质量。
DOI：
10.1007/s10641-013-0217-4
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发表时间：
2014
影响因子：
1.4
通讯作者：
F.
中科院分区：
文献类型：
--
作者：
Kawai;H.;Nagayama;S.;Urabe;H;Akasaka;T. and Nakamura;F.
最近的研究表明，能量的盈利能力（净能量摄入潜力; NEI潜力）的栖息地，这是计算的总能量收益从觅食减去游泳的能量支出在一个焦点，可能是一个有用的工具，用于预测鲑鱼生物量。NEI潜力的有效性应该在各种系统中进行测试。即使NEI潜力得到验证，其预测的准确性和可转移性可能是有限的，如果不考虑覆盖栖息地，这是已知的是一个重要因素，确定鲑鱼丰度。我们测试了NEI潜力是否是有效的预测鲑鱼生物量，即使在一个流与丰富的覆盖，以及是否结合NEI潜力和覆盖效应可以提高鱼类生物量的可预测性，使用广义线性模型。我们的研究结果表明，NEI潜力一般可以预测鱼类生物量（解释的偏差百分比= 79.9%），并且将NEI潜力和覆盖率相结合的模型提高了预测精度（解释的偏差百分比= 88.5%）。这些结果表明，精力充沛的盈利能力可以是一个有效的指标，用于评估栖息地质量和相对转移到其他系统。此外，当考虑覆盖效应时，栖息地质量更准确地表示，因此，结合精力充沛的盈利能力和覆盖效应可能会提高跨栖息地的评估的可转移性。
Recent studies have demonstrated that the energetic profitability (net energy intake potential; NEI potential) of a habitat, which is calculated as the gross energy gain from foraging minus the energy expenditure from swimming at a focal point, may be a useful tool for predicting the salmonid biomass. The effectiveness of the NEI potential should be tested in various systems. Even if the NEI potential is validated, its predictive accuracy and transferability could be limited if the cover habitat, which is known to be an important factor for determining salmonid abundance, is not considered. We tested whether the NEI potential is effective for predicting the salmonid biomass even in a stream with abundant cover and whether combining the NEI potential and cover effects can improve the predictability of fish biomass using a generalized linear model. Our results demonstrated that the NEI potential could generally predict the fish biomass (percent deviance explained = 79.9 %), and the model that incorporated both the NEI potential and the cover ratio improved the predictive accuracy (percent deviance explained = 88.5 %). These results suggest that energetic profitability can be an effective indicator for assessing habitat quality and is relatively transferable to other systems. Furthermore, when cover effects are considered, the habitat quality is more accurately represented; thus, combining the energetic profitability and the cover effects might improve the transferability of the assessment across habitats.