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Noise level and water distance drive resident and migratory bird species richness within a Neotropical megacity

机译:噪声水平和水距离驱动居民和迁徙鸟类在新巨大的巨型内的丰富性

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A large body of evidence indicates that urbanization profoundly affects ecological communities, but the extent to which patterns are generalizable across regions, such as in the Neotropics, remains unclear. We examined responses of migratory and resident birds to human disturbance and habitat attributes in Sao Paulo, Brazil, a tropical megacity in South America. In 2017-2018, we surveyed birds across 31 landscapes distributed across the urban landscape and evaluated competing models that included five non-correlated variables explaining variation in species richness: ambient noise level, distance to water, tree cover, human population size, and impervious surface. We recorded 142 bird species, 128 of which were resident and 14 migratory. Richness of both resident and migratory birds declined with increasing noise level and distance to water, which best explained variation in bird communities among the sampled landscapes. Although resident and migratory birds presented similar response patterns to local and landscape attributes, noise level was the best predictor of migratory species occurrence, whereas distance to water best explained the occurrence of resident species. Our results suggest that, although tree cover is important to biodiversity in urbanized landscapes, proper management of urban water bodies and reduction of noise levels are also essential to maintaining avian diversity within tropical urban areas and suggest novel avenues for future research in tropical urban ecology.
机译:大量证据表明,城市化深刻地影响了生态社区,但在地区概遍的程度仍然不清楚。我们检查了迁徙和居民鸟类对南美洲的热带巨大的迁徙和居民鸟类对人类骚动和栖息地属性的回应。在2017 - 2018年,我们在城市景观中分布了31个景观的鸟类,并评估了包含五种非相关变量的竞争模式,解释物种丰富的变化:环境噪音水平,水,树木覆盖,人口大小和不透水的距离表面。我们记录了142种鸟类,其中128种居民和14遍。居民和候鸟的丰富性随着噪音水平的增加和与水的距离而下降,这对采样的景观中的鸟类社区进行了最佳解释。虽然居民和迁徙的鸟类呈现出类似的响应模式,但景观属性相似,但噪声水平是迁徙物种的最佳预测因子,而与水的距离最佳地解释了居民物种的发生。我们的研究结果表明,尽管树木封面对城市化景观中的生物多样性重要,但对城市水域的适当管理以及降低噪音水平对维护热带城市地区的禽类多样性以及建议在热带城市生态学中的未来研究的新途径至关重要。

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