估算布氏鲸小种群的丰度:航测与船基机会平台的比较

IF 2.8 2区 环境科学与生态学 Q1 BIODIVERSITY CONSERVATION
O. N. P. Hamilton, R. M. Fewster, P. Low, F. Johnson, C. Lea, K. A. Stockin, K. van der Linde, R. Constantine
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引用次数: 0

摘要

准确的丰度估算对于制定有效的保护管理策略至关重要,但对于在其分布范围内难以捉摸且分布稀少的小种群来说,却很难进行估算。对于这些种群来说,收集一个足以对可探测性和丰度进行可靠估计的代表性数据集是一项挑战。在为期一年的研究中,我们使用了两种方法来估算新西兰奥特亚罗瓦豪拉基湾(Hauraki Gulf)一个国家重点保护的、分布广泛的布氏鲸种群的丰度;(i) 通过系统的线描航测进行距离采样(n = 22 次航测,9944 公里,共发现 21-24 头鲸鱼),以及 (ii) 通过机会平台和小船航测收集的照片识别图像进行标记再捕获(MR)(218 次采样,27 头鲸鱼)。通过空中调查,我们估计任何时候海面上平均有 15 头鲸鱼(95% CI = 6, 30; CV = 37%)。对于船基调查,我们开发了一个定制的磁共振模型,以解决捕获概率中的季节性和个体异质性问题,并估计种群中有 72 头不同的鲸鱼(95% CI = 38, 106; CV = 24%)。这两种方法从不同的角度反映了布氏鲸的数量和动态。航测估计的是同一时间出现的平均个体数量,而 MR 模型估计的是研究期间使用海湾的动物总数。虽然这两种取样方法都不是估算这种小型、分散种群数量的最佳方法,但使用两种互补的方法可以让保护管理人员了解不同时间和空间尺度上的数量和分布模式。在无法满足模型假设的情况下,海洋研究资源有限是很常见的。在此,我们将重点介绍一些实用的策略,展示如何根据相关种群的情况定制模型,以帮助监测受保护的物种。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Estimating abundance of a small population of Bryde's whales: a comparison between aerial surveys and boat-based platforms of opportunity

Estimating abundance of a small population of Bryde's whales: a comparison between aerial surveys and boat-based platforms of opportunity

Estimating abundance of a small population of Bryde's whales: a comparison between aerial surveys and boat-based platforms of opportunity

Accurate abundance estimates are essential for the development of effective conservation management strategies, yet they are difficult to produce for small populations that are elusive and sparsely distributed throughout their range. For such populations it is challenging to collect a representative dataset sufficient for robust estimation of detectability and abundance. Over a one-year study, we used two methods to estimate abundance of a Nationally Critical, widely dispersed Bryde's whale population in the Hauraki Gulf, Aotearoa/New Zealand; (i) distance sampling from systematic line-transect aerial surveys (n = 22 surveys, 9,944 km, total sightings 21–24 whales), and (ii) mark-recapture (MR) using photo-identification images collected from a platform-of-opportunity and small-boat surveys (218 sampling occasions, 27 whales). From the aerial surveys, we estimated an average of 15 whales (95% CI = 6, 30; CV = 37%) at the sea-surface at any time. For the boat-based surveys, we developed a custom MR model to address seasonal and individual heterogeneity in capture probabilities and obtained an estimate of 72 distinct whales (95% CI = 38, 106; CV = 24%) in the population. These two approaches provide different perspectives on the abundance and dynamics of Bryde's whales. The aerial surveys estimate the average number of individuals present at any one time, whereas the MR model estimates the total number of animals that used the Gulf during the study. Although neither sampling method is optimal for estimating the abundance of this small, dispersed population, the use of two complementary approaches informs conservation managers about patterns of abundance and distribution over different temporal and spatial scales. It is common to have limited resources for marine research where model assumptions cannot be met. Here, we highlight pragmatic strategies showing how models can be customized to the population of interest to assist with monitoring species of conservation concern.

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来源期刊
Animal Conservation
Animal Conservation 环境科学-生态学
CiteScore
7.50
自引率
5.90%
发文量
71
审稿时长
12-24 weeks
期刊介绍: Animal Conservation provides a forum for rapid publication of novel, peer-reviewed research into the conservation of animal species and their habitats. The focus is on rigorous quantitative studies of an empirical or theoretical nature, which may relate to populations, species or communities and their conservation. We encourage the submission of single-species papers that have clear broader implications for conservation of other species or systems. A central theme is to publish important new ideas of broad interest and with findings that advance the scientific basis of conservation. Subjects covered include population biology, epidemiology, evolutionary ecology, population genetics, biodiversity, biogeography, palaeobiology and conservation economics.
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