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Weekly predictions of North Atlantic right whale Eubalaena glacialis habitat reveal influence of prey abundance and seasonality of habitat preferences

机译:对北大西洋右鲸Eubalaena glacialis生境的每周预测揭示了猎物丰富度和生境偏好的季节性的影响

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Primary sources of mortality and serious injury to endangered North Atlantic right whales Eubalaena glacialis are vessel strikes and entanglement in fishing gear. All management plans depend on knowing when and where right whales are likely to be present. We tested the feasibility of a system designed to predict potential right whale habitat on a weekly time scale. The system paired right whale occurrence records with a collection of data layers including: results from a coupled biological?physical model of Calanus finmarchicus (the primary prey of right whales), satellite-derived sea surface temperature and chlorophyll, and bathymetry. Using these data, we trained seasonal habitat models and projected them onto environmental data for each 8 d period from January to June, 2002 to 2006. Two hypotheses were tested: (1) that right whale environmental preferences change from season to season and (2) that modeled prey concentration is an important predictor of the distribution of right whales. To test H_1, we trained, tested, and compared models for 3 time periods: winter, spring, and winter and spring combined. To test H_2, we trained and tested models with and without C. finmarchicus. Predictions of habitat suitability were highly dynamic within and across years. Our results support the hypothesis that right whale environmental preferences change between winter and spring. The inclusion of modeled C. finmarchicus abundance improved the accuracy of habitat suitability predictions.
机译:濒临灭绝的北大西洋右鲸Eubalaena glacialis的死亡和重伤的主要来源是船只罢工和渔具纠缠。所有管理计划都取决于了解正确的鲸鱼何时何地出现。我们测试了一种系统的可行性,该系统旨在每周一次地预测潜在的右鲸栖息地。该系统将右鲸的发生记录与数据层集合配对,这些数据层包括:finalachicus(右鲸的主要猎物)的耦合生物物理模型的结果,源自卫星的海面温度和叶绿素以及测深法。利用这些数据,我们训练了季节性栖息地模型,并将其投影到2002年1月至6月的每8 d期间的环境数据中。对两个假设进行了检验:(1)露脊鲸的环境偏好因季节而异;(2 )建模的猎物集中度是正确的鲸鱼分布的重要预测指标。为了测试H_1,我们训练,测试并比较了3个时间段的模型:冬季,春季以及冬季和春季的组合。为了测试H_2,我们训练和测试了带有和不带有C. finmarchicus的模型。栖息地适宜性的预测在几年内以及多年来都是高度动态的。我们的结果支持这样一个假说,即正确的鲸鱼环境偏好在冬季和春季之间会发生变化。包括建模的C. finmarchicus丰度提高了栖息地适宜性预测的准确性。

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