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大洋岛屿上鸟类面临的威胁。

Threats to avifauna on oceanic islands.

作者信息

Trevino Heather S, Skibiel Amy L, Karels Tim J, Dobson F Stephen

机构信息

Department of Biological Sciences, Auburn University, Auburn, AL 36849, USA.

出版信息

Conserv Biol. 2007 Feb;21(1):125-32. doi: 10.1111/j.1523-1739.2006.00581.x.

Abstract

Results of the study by Blackburn et al. (2004a) of avifauna on oceanic islands suggest that distance from the mainland and time since European colonization have major influences on species extinctions and that island area is a significant but secondary contributing factor. After augmenting the data of the study on geographical properties for some of the islands they examined, we used a causal analysis approach with structural equation modeling to reexamine their conclusions. In our model geographical properties of islands, such as island area and isolation, were considered constraints on biological factors, such as the number of introduced mammalian predators and existing number of avifauna, that can directly or indirectly influence extinction. Of the variables we tested, island area had the greatest total influence on the threat of extinction due to its direct and indirect effects on the size of island avifauna. Larger islands had both a greater number of threatened bird species and more avifauna, increasing the number of species that could become threatened with extinction. Island isolation also had a significant, positive, and direct effect on threats to island avifauna because islands farther from the mainland had fewer current extant avifauna. Time since European colonization had a significant negative, but relatively weaker, influence on threats compared with the traditional biogeographic factors of island area and distance to the mainland. We also tested the hypothesis that the amount of threat is proportionally lower on islands that have had more extinctions (i.e., there is a "filter effect"). Because the proportion of bird extinctions potentially explained only 2.3% of the variation in the proportion of threatened species on islands, our results did not support this hypothesis. Causal modeling provided a powerful tool for examining threat of extinction patterns of known and hypothesized pathways of influence.

摘要

布莱克本等人(2004年a)对大洋岛屿鸟类的研究结果表明,与大陆的距离以及自欧洲殖民以来的时间对物种灭绝有重大影响,而岛屿面积是一个重要但次要的促成因素。在扩充了他们所考察的一些岛屿的地理属性研究数据后,我们使用结构方程模型的因果分析方法重新审视了他们的结论。在我们的模型中,岛屿的地理属性,如岛屿面积和隔离度,被视为对生物因素的限制,这些生物因素,如引入的哺乳动物捕食者数量和现有的鸟类数量,可直接或间接影响灭绝。在我们测试的变量中,岛屿面积因其对岛屿鸟类数量的直接和间接影响,对灭绝威胁的总体影响最大。较大的岛屿既有更多受威胁的鸟类物种,也有更多的鸟类,增加了可能面临灭绝威胁的物种数量。岛屿隔离对岛屿鸟类的威胁也有显著的、积极的直接影响,因为离大陆较远的岛屿现存鸟类较少。与岛屿面积和到大陆距离等传统生物地理因素相比,自欧洲殖民以来的时间对威胁有显著的负面影响,但相对较弱。我们还测试了这样一个假设,即在灭绝次数较多的岛屿上,威胁程度按比例较低(即存在“过滤效应”)。由于鸟类灭绝比例仅可能解释了岛屿上受威胁物种比例变化的2.3%,我们的结果不支持这一假设。因果模型为检验已知和假设的影响途径的灭绝模式威胁提供了一个强大的工具。

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