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利用生命史理论诊断蝠鲼种群的危险状况。

Diagnosing the dangerous demography of manta rays using life history theory.

机构信息

Earth to Ocean Research Group, Department of Biological Sciences, Simon Fraser University , Burnaby, British Columbia , Canada.

Centre for Sustainable Tropical Fisheries and Aquaculture & School of Earth and Environmental Sciences, James Cook University , Townsville , Australia.

出版信息

PeerJ. 2014 May 27;2:e400. doi: 10.7717/peerj.400. eCollection 2014.

Abstract

Background. The directed harvest and global trade in the gill plates of mantas, and devil rays, has led to increased fishing pressure and steep population declines in some locations. The slow life history, particularly of the manta rays, is cited as a key reason why such species have little capacity to withstand directed fisheries. Here, we place their life history and demography within the context of other sharks and rays. Methods. Despite the limited availability of data, we use life history theory and comparative analysis to estimate the intrinsic risk of extinction (as indexed by the maximum intrinsic rate of population increase r max) for a typical generic manta ray using a variant of the classic Euler-Lotka demographic model. This model requires only three traits to calculate the maximum intrinsic population growth rate r max: von Bertalanffy growth rate, annual pup production and age at maturity. To account for the uncertainty in life history parameters, we created plausible parameter ranges and propagate these uncertainties through the model to calculate a distribution of the plausible range of r max values. Results. The maximum population growth rate r max of manta ray is most sensitive to the length of the reproductive cycle, and the median r max of 0.116 year(-1) 95th percentile [0.089-0.139] is one of the lowest known of the 106 sharks and rays for which we have comparable demographic information. Discussion. In common with other unprotected, unmanaged, high-value large-bodied sharks and rays the combination of very low population growth rates of manta rays, combined with the high value of their gill rakers and the international nature of trade, is highly likely to lead to rapid depletion and potential local extinction unless a rapid conservation management response occurs worldwide. Furthermore, we show that it is possible to derive important insights into the demography extinction risk of data-poor species using well-established life history theory.

摘要

背景。有针对性地捕捞蝠鲼和魟鱼的鳃板,并进行全球贸易,这导致了一些地方捕捞压力的增加和种群数量的急剧下降。缓慢的生命史,尤其是蝠鲼的生命史,被认为是这些物种几乎没有能力承受有针对性渔业的关键原因。在这里,我们将它们的生命史和种群动态置于其他鲨鱼和鳐鱼的背景下。

方法。尽管数据有限,我们还是利用生命史理论和比较分析,使用经典的欧拉-洛特卡人口模型的变体,使用典型的蝠鲼通用种来估计其灭绝的内在风险(由最大内在种群增长率 r max 来表示)。该模型只需要三个特征来计算最大内在种群增长率 r max :von Bertalanffy 生长率、每年幼鱼的产量和成熟年龄。为了说明生命史参数的不确定性,我们创建了合理的参数范围,并通过模型传播这些不确定性,以计算 r max 值的合理范围的分布。

结果。蝠鲼的最大种群增长率 r max 对生殖周期的长度最为敏感,其中位数 r max 为 0.116 年(95%置信区间为 0.089-0.139),是我们有可比的人口统计数据的 106 种鲨鱼和鳐鱼中已知的最低增长率之一。

讨论。与其他未受保护、未管理、高价值的大型无脊椎动物一样,蝠鲼的种群增长率非常低,再加上其鳃耙的高价值以及贸易的国际性,这极有可能导致其迅速枯竭和潜在的局部灭绝,除非在全球范围内迅速采取保护管理措施。此外,我们还表明,利用成熟的生命史理论,从数据较少的物种中获取有关种群动态灭绝风险的重要见解是可能的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ac4/4045333/6e714f9f91a6/peerj-02-400-g001.jpg

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