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Understanding and addressing seabird bycatch in Alaska demersal longline fisheries

机译:了解和解决阿拉斯加延绳钓渔业中的海鸟兼捕问题

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The incidental catch of seabirds in longline fisheries is a global conservation concern. In Alaska, annual seabird bycatch in demersal longline fisheries ranged between 10,300 and 26,300 birds (1995-2001). We explore the relationship between four categories of potential forcing factors (temporal, spatial, environmental, and fisheries-related) and seabird bycatch rates in Alaska demersal longline fisheries to provide practical management alternatives that could significantly reduce seabird bycatch. Separate generalized linear or additive models (GLM or GAM, respectively) were created for several combinations of seabird group, fishery and large geographic region. Across nearly all models, vessel was the most influential factor explaining seabird bycatch rate variation. Rather than a single variable, vessel is an amalgam of unmeasured forcing factors many of which could not be separated out in this data set (e.g., longline sink rate, vessel setting speed, line deployment location relative to propeller direction). A separate vessel-specific analysis also supported the multivariate results that performance of an individual vessel is overwhelmingly important (i.e., some vessels have consistently high or low bycatch rates from year to year). Therefore, vessel-specific performance is a critical management option. The effects of temporal (annual, month, and breeding phenology) and spatial variables were also moderately influential on seabird bycatch rates. Our results suggest that seasonal adjustments in the Alaska longline fishery have potential for overall bycatch reductions, but vague seabird management objectives could have huge unintended and undesirable consequences when implementing temporal adjustments. Other variables (environmental and other fishing-related factors) were frequently significant but contributed a small amount to overall explained deviance. Based on this study, we conclude that a vessel-specific management approach would be the most effective and efficient means to reduce seabird bycatch in Alaska.
机译:延绳钓渔业中偶然捕获海鸟是全球性的保护问题。在阿拉斯加,延绳钓延年渔业中每年捕捞海鸟的数量在10,300到26,300只之间(1995-2001年)。我们探讨了阿拉斯加延绳钓渔业中四类潜在强迫因素(时间,空间,环境和渔业相关因素)与海鸟兼捕率之间的关系,以提供可显着减少海鸟兼捕的实际管理选择。针对海鸟群,渔业和大地理区域的几种组合创建了单独的广义线性模型或加性模型(分别为GLM或GAM)。在几乎所有模型中,船只都是解释海鸟兼捕率变化的最有影响力的因素。船只不是单一变量,而是不可测强迫因素的混合物,其中许多因素无法在此数据集中分离出来(例如,延绳钓沉没率,船只设置速度,相对于螺旋桨方向的管线部署位置)。单独的针对特定船舶的分析也支持多变量结果,即单个船舶的性能极为重要(即,某些船舶每年的副渔获率始终较高或较低)。因此,特定于船只的性能是关键的管理选择。时间(年度,月份和育种物候)和空间变量的影响对海鸟兼捕率也有中等影响。我们的结果表明,阿拉斯加延绳钓渔业的季节调整可能会减少总体副渔获物,但是模糊的海鸟管理目标在实施时间调整时可能会产生意想不到的巨大后果。其他变量(环境因素和其他与捕鱼有关的因素)通常也很重要,但对总体解释的偏差影响很小。根据这项研究,我们得出结论,针对特定船只的管理方法将是减少阿拉斯加海鸟副渔获物的最有效方法。

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