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Definition of critical summer and fall habitat for bowhead whales in the eastern Canadian Arctic

机译:加拿大东部北极地区bow鱼的关键夏季和秋季栖息地的定义

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Bowhead whale Balaena mysticetus critical habitat was identified as a key information gap by the Eastern Arctic Bowhead Whale Recovery Team. To fill this gap, data on eastern Canadian Arctic (ECA) bowhead whales and their habitat were collected and analyzed. We selected governmental, private, and historical whaling bowhead location datasets which differed in temporal and spatial extent, sample size, and quality. Sufficient data were available only for the 'reduced-ice' period (June to October) and pooled by month. Data for 6 ecogeographical variables (EGVs) were integrated into a geographical information system (GIS): sea surface temperature, chlorophyll, ice, depth, slope, and distance to shore. A monthly ecological niche factor analysis was performed for each whale and EGV dataset to determine habitat suitability in the ECA. Eleven habitat suitability models were produced, and a composite map of predicted high suitability habitat, for all 5 months, was developed. Twenty-one areas within the ECA were identified as highly suitable habitat and ranked according to analytical confidence. Six critical habitats were identified and are supported by recent scientific evidence and Inuit knowledge. Recently, the population estimate, conservation status, and management of the Eastern Canada-West Greenland bowhead population have changed dramatically (bowhead whales of this population also inhabit the ECA). In parallel, evidence of ecological change from climate warming has increased and associated loss of sea ice is anticipated to increase interactions between bowheads and anthropogenic activity. As envisioned by the recovery team, this study provides resource managers with a timely tool for population recovery, conservation, and protection.
机译:东部北极弓头鲸恢复小组将弓头鲸Balaena mysticetus关键栖息地确定为关键信息缺口。为了填补这一空白,收集并分析了加拿大东部北极(ECA)弓头鲸及其栖息地的数据。我们选择了政府,私人和历史上的捕鲸弓头位置数据集,这些数据集在时间和空间范围,样本大小和质量上都不同。仅在“降冰”时期(6月至10月)可获得足够的数据,并按月汇总。将6个生态地理变量(EGV)的数据集成到地理信息系统(GIS)中:海面温度,叶绿素,冰,深度,坡度和到海岸的距离。对每条鲸鱼和EGV数据集进行每月生态位生态因子分析,以确定ECA中的栖息地适宜性。制作了11个栖息地适宜性模型,并绘制了所有5个月预测的高适宜性栖息地的综合图。 ECA内有21个区域被确定为高度合适的栖息地,并根据分析可信度进行了排名。确定了六个关键栖息地,并得到了最新的科学证据和因纽特人的知识的支持。最近,加拿大东部和西格陵兰弓bow种群的种群估计,保护状况和管理发生了巨大变化(该种群的b鲸也居住在ECA中)。同时,气候变暖引起的生态变化的证据增加了,预计相关的海冰损失会增加弓头与人为活动之间的相互作用。根据恢复小组的设想,本研究为资源管理人员提供了及时的工具,以进行人口恢复,保护和保护。

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