Distribution maps of cetacean and seabird populations in the North‐East Atlantic
Distribution maps of cetacean and seabird populations in the North‐East Atlantic
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东北大西洋鲸目动物和海鸟种群分布图
DOI：
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
André E. Punt
中科院分区：
文献类型：
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作者：
J. Waggitt;P. Evans;J. B. Andrade;Alex N. Banks;O. Boisseau;M. Bolton;Gareth Bradbury;T. Brereton;C. J. Camphuysen;J. Durinck;T. Felce;R. Fijn;I. García‐Barón;S. Garthe;S.C.V. Geelhoed;A. Gilles;Martin Goodall;J. Haelters;S. Hamilton;L. Hartny;N. Hodgins;Kathy James;M. Jessopp;A. Kavanagh;M. Leopold;Katrin Lohrengel;M. Louzao;N. Markones;J. Martínez;Oliver Ó Cadhla;Sarah L. Perry;G. Pierce;V. Ridoux;K. Robinson;M. Santos;C. Saavedra;H. Skov;E. Stienen;S. Sveegaard;P. Thompson;N. Vanermen;D. Wall;A. Webb;Jared Wilson;S. Wanless;J. Hiddink;André E. Punt
1.养护和海洋管理需要流域和月尺度的鲸目动物和海鸟分布图。这些通常是从标准化和系统的航空和船舶调查中创建的，并在研究区域内插入记录的动物密度。然而，以前不可能绘制流域和月尺度的分布图，因为单独的调查限制了空间和时间的覆盖范围。这项研究开发了一种替代方法，包括：（a）整理不同的调查数据，以最大限度地提高空间和时间的覆盖范围，（B）使用检测功能，以估计这些调查中覆盖的表面积（平方公里）的变化，标准化的努力和动物密度的测量，以及（c）开发物种分布模型（SDM），克服异质性和不均匀的覆盖范围的问题。3. 2.68对1980年至2018年东北大西洋数百万公里的调查数据进行了整理和标准化。SDM使用广义线性模型和一般估计方程的跨栏方法。然后绘制了12种鲸目动物和12种海鸟的分布图，分辨率为10公里，每月一次。定性和定量评价表明模型性能良好.合成与应用。这项研究提供了有史以来最大的鲸目动物和海鸟的各种调查数据的整理和标准化，以及东北大西洋这些分类群最全面的分布图。这些分布图有许多应用，包括确定需要保护的重要地区，以及量化脆弱物种和人类活动之间的重叠。这项研究表明，如何分析现有的和不同的调查数据可以满足保护和海洋管理的需要。
1. Distribution maps of cetaceans and seabirds at basin and monthly scales are needed for conservation and marine management. These are usually created from standardized and systematic aerial and vessel surveys, with recorded animal densities interpolated across study areas. However, distribution maps at basin and monthly scales have previously not been possible because individual surveys have restricted spatial and temporal coverage.2. This study develops an alternative approach consisting of: (a) collating diverse survey data to maximize spatial and temporal coverage, (b) using detection functions to estimate variation in the surface area covered (km2) among these surveys, standardizing measurements of effort and animal densities, and (c) developing species distribution models (SDM) that overcome issues with heterogeneous and uneven coverage. 3. 2.68 million km of survey data in the North‐East Atlantic between 1980 and 2018 were collated and standardized. SDM using Generalized Linear Models and General Estimating Equations in a hurdle approach were developed. Distribution maps were then created for 12 cetacean and 12 seabird species at 10 km and monthly resolution. Qualitative and quantitative assessment indicated good model performance.4. Synthesis and applications. This study provides the largest ever collation and standardization of diverse survey data for cetaceans and seabirds, and the most comprehensive distribution maps of these taxa in the North‐East Atlantic. These distribution maps have numerous applications including the identification of important areas needing protection, and the quantification of overlap between vulnerable species and anthropogenic activities. This study demonstrates how the analysis of existing and diverse survey data can meet conservation and marine management needs.