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当前全球的种群规模、捕鲸后的趋势以及抹香鲸的历史轨迹。

Current global population size, post-whaling trend and historical trajectory of sperm whales.

机构信息

Department of Biology, Dalhousie University, Halifax, NS, B3H 4R2, Canada.

出版信息

Sci Rep. 2022 Nov 14;12(1):19468. doi: 10.1038/s41598-022-24107-7.

Abstract

The sperm whale lives in most deep ice-free waters of the globe. It was targeted during two periods of whaling peaking in the 1840's and 1960's. Using a habitat suitability model, we extrapolated estimates of abundance from visual and acoustic surveys to give a global estimate of 736,053 sperm whales (CV = 0.218) in 1993. Estimates of trends in the post-whaling era suggest that: whaling, by affecting the sex ratio and/or the social cohesion of females, reduced recovery rates well after whaling ceased; preferentially-targeted adult males show the best evidence of recovery, presumably due to recruitment from breeding populations; several decades post-whaling, sperm whale populations not facing much human impact are recovering slowly, but populations may be declining in areas with substantial anthropogenic footprint. A theta-logistic population model enhanced to simulate spatial structure and the non-removal impacts of whaling indicated a pre-whaling population of 1,949,698 (CV = 0.178) in 1710 being reduced by whaling, and then then recovering a little to about 844,761 (CV = 0.209) in 2022. There is much uncertainty about these numbers and trends. A larger population estimate than produced by a similar analysis in 2002 is principally due to a better assessment of ascertainment bias.

摘要

抹香鲸生活在全球大多数无冰的深海区域。在捕鲸的两个高峰期,即 19 世纪 40 年代和 20 世纪 60 年代,它们成为了被捕猎的目标。我们利用栖息地适宜性模型,根据视觉和声学调查的数据外推丰度估计值,得出 1993 年全球抹香鲸数量为 736053 头(CV=0.218)。对捕鲸后时代趋势的估计表明:捕鲸通过影响雌雄比例和/或雌性的社会凝聚力,在停止捕鲸后很长一段时间内降低了恢复速度;优先被捕猎的成年雄性表现出最佳的恢复迹象,大概是因为从繁殖种群中招募了新成员;在停止捕鲸几十年后,没有受到人类活动影响的抹香鲸种群恢复缓慢,但在人类足迹较大的地区,种群可能在下降。一个经过改进以模拟空间结构和捕鲸非移除影响的θ-logistic 种群模型表明,1710 年的种群数量为 1949698 头(CV=0.178),由于捕鲸而减少,然后又略有恢复,到 2022 年达到约 844761 头(CV=0.209)。这些数字和趋势存在很大的不确定性。与 2002 年进行的类似分析相比,这次的估计种群数量更大,主要是因为对确定偏差的评估更好。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f1e1/9663694/fa4e4d7b2733/41598_2022_24107_Fig1_HTML.jpg

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