Suppr超能文献

与东南极洲海上雪鹱目击事件相关的环境特征

Environmental Features Associated With At-Sea Sightings of Snow Petrel in East Antarctica.

作者信息

Viola Benjamin, Halpin Luke, Fierro-Arcos Denisse, Travers Toby, Emmerson Louise, Southwell Colin, Virtue Patti, Kelly Natalie, Corney Stuart

机构信息

Institute for Marine and Antarctic Studies University of Tasmania Hobart Tasmania Australia.

Department of Climate Change, Energy, the Environment, and Water Australian Antarctic Division Kingston Tasmania Australia.

出版信息

Ecol Evol. 2025 Aug 5;15(8):e71871. doi: 10.1002/ece3.71871. eCollection 2025 Aug.

Abstract

Over the last 70 years, seabird populations have declined by up to 70%, and represent the most endangered group of birds globally. When compared to other seabird species, there is little known about the Snow Petrel () and its marine habitat use-especially in East Antarctica. To better understand what drives Snow Petrel presence within this region, we modeled vessel-based observations of the Snow Petrel against remotely sensed environmental data using binomial generalized additive models (GAMs). Throughout the 16-year study period (1991-2006), Snow Petrel presence was associated with areas exhibiting shallower bathymetry, increasing sea-ice coverage, decreasing sea-surface height, and increasing wind speed. We then used a subset of the Snow Petrel data to generate a population density map and compare model outputs when data recording methods differ. Specifically, we tested how outputs change when inputs are binomial (presence/absence) versus when inputs include count and effort data. The outputs from both effort-quantified and presence/absence models identified similar environmental drivers of Snow Petrel presence. However, the effort-quantified models were more robust, yielding higher deviance explained values and narrower confidence intervals around the environmental variables associated with Snow Petrel presence. Snow Petrel interactions with the tested environmental variables may be driven by associated biological processes-specifically, foraging strategies that target niche areas of high biological productivity in the Southern Ocean. Our study provides an important baseline to compare the likely future distribution of Snow Petrels under different climate change scenarios.

摘要

在过去70年里,海鸟数量减少了多达70%,是全球最濒危的鸟类群体。与其他海鸟物种相比,人们对南极雪海燕()及其海洋栖息地利用情况知之甚少,尤其是在东南极地区。为了更好地了解是什么因素促使南极雪海燕出现在该区域,我们使用二项广义相加模型(GAMs),将基于船只观测的南极雪海燕数据与遥感环境数据进行建模。在整个16年的研究期(1991 - 2006年)内,南极雪海燕的出现与地形较浅、海冰覆盖增加、海面高度降低以及风速增加的区域相关。然后,我们使用南极雪海燕数据的一个子集生成种群密度图,并比较数据记录方法不同时模型的输出结果。具体而言,我们测试了输入为二项式(存在/不存在)与输入包括计数和工作量数据时输出结果的变化。工作量量化模型和存在/不存在模型的输出都识别出了南极雪海燕出现的类似环境驱动因素。然而,工作量量化模型更稳健,在与南极雪海燕出现相关的环境变量周围产生了更高的偏差解释值和更窄的置信区间。南极雪海燕与所测试环境变量之间的相互作用可能是由相关生物过程驱动的,特别是针对南大洋高生物生产力生态位区域的觅食策略。我们的研究提供了一个重要的基线,用于比较不同气候变化情景下南极雪海燕未来可能的分布情况。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验