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Amazonian avian biogeography: Broadscale patterns, microevolutionary processes, and habitat-specific models revealed by multidisciplinary approaches 亚马逊鸟类生物地理学:由多学科方法揭示的大尺度模式、微观进化过程和栖息地特定模型
Pub Date : 2023-11-25 DOI: 10.1093/ornithology/ukad051
João Marcos Guimarães Capurucho, Lukas J Musher, Alexander Lees, Marco A Rego, Glaucia Del-Rio, Alexandre Aleixo, Vanessa E Luzuriaga-Aveiga, Mateus Ferreira, Camila C Ribas, Gregory Thom
Our understanding of Amazonian biogeography is quickly increasing, catalyzed by the growing use of genomic datasets, improved knowledge of species distributions, and the accumulation of new data on the geological and climatic history of the region. The high number of species in Amazonia and their intricate patterns of geographic distribution triggered the development of many diversification hypotheses that shaped historical biogeography as a discipline. Here, we present a historical overview of avian biogeographic studies in Amazonia, their recent advances, outstanding questions, and future directions. We focus on how new approaches have led to novel understandings of the distribution patterns and diversification processes that underpin avian diversity. We show how genomic tools are being used to establish new hypotheses about the drivers of diversification and highlight the importance of recent studies of birds in previously overlooked environments, such as floodplains and open vegetation enclaves. We emphasize the importance of gene flow, species traits, and habitat affinities in studying diversification processes to fully acknowledge the complexity of Amazonian ecosystems and their history. We then discuss the current gaps in Amazonian taxonomic and biogeographic knowledge, with a focus on the issues that we believe hinder our understanding of the field. Amazonia has been facing increasing levels of forest loss due to agricultural expansion, infrastructure development, mining, climate change, and illegal activities catalyzed by weak governance. To halt biodiversity loss, it is crucial to increase our knowledge of the natural history and biogeography of Amazonian species. We suggest increasing incentives for research and training at institutions based in the region, as well as the establishment of partnerships with governments, local communities, NGOs, and international institutions to bring diverse communities together to address crucial questions.
我们对亚马逊生物地理的了解正在迅速增加,这得益于越来越多的基因组数据集的使用,物种分布知识的提高,以及该地区地质和气候历史新数据的积累。亚马逊地区的物种数量之多及其复杂的地理分布模式引发了许多多样化假说的发展,这些假说将历史生物地理学塑造成了一门学科。本文介绍了亚马逊地区鸟类生物地理学研究的历史概况、最新进展、有待解决的问题和未来发展方向。我们关注新方法如何导致对鸟类多样性的分布模式和多样化过程的新理解。我们展示了基因组工具如何被用来建立关于多样化驱动因素的新假设,并强调了在以前被忽视的环境(如洪泛平原和开放植被飞地)中最近对鸟类研究的重要性。我们强调基因流动、物种特征和生境亲和性在研究多样化过程中的重要性,以充分认识亚马逊生态系统及其历史的复杂性。然后,我们讨论了目前在亚马逊分类学和生物地理知识方面的差距,重点是我们认为阻碍我们对该领域理解的问题。由于农业扩张、基础设施建设、采矿、气候变化以及治理不力引发的非法活动,亚马逊地区正面临着日益严重的森林损失。为了阻止生物多样性的丧失,增加我们对亚马逊物种的自然历史和生物地理的了解至关重要。我们建议增加对该地区机构的研究和培训的激励措施,并与政府、当地社区、非政府组织和国际机构建立伙伴关系,将不同的社区聚集在一起,解决关键问题。
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引用次数: 0
Magnolia Warbler flight calls demonstrate individuality and variation by season and recording location 白玉兰莺的飞行叫声表现出个性和随季节和记录地点的变化
Pub Date : 2023-11-15 DOI: 10.1093/ornithology/ukad056
Elliott M Ress, Andrew Farnsworth, Sara R Morris, Michael Lanzone, Benjamin M Van Doren
Flight calls are short vocalizations frequently associated with migratory behavior that may maintain group structure, signal individual identity, and facilitate intra- and interspecific communication. In this study, Magnolia Warbler (Setophaga magnolia) flight call characteristics varied significantly by season and recording location, but not age or sex, and an individual’s flight calls were significantly more similar to one another than to calls of other individuals. To determine if flight calls encode traits of the signaling individual during migration, we analyzed acoustic characteristics of the calls from the nocturnally migrating Magnolia Warbler. Specifically, we analyzed calls recorded from temporarily captured birds across the northeastern United States, including Appledore Island in Maine, Braddock Bay Bird Observatory in New York, and Powdermill Avian Research Center in Pennsylvania to quantify variation attributable to individual identity, sex, age, seasonality, and recording location. Overall, our findings suggest that Magnolia Warbler flight calls may show meaningful individual variation and exhibit previously undescribed spatiotemporal variation, providing a basis for future research.
飞行叫声是一种短的叫声,通常与迁徙行为有关,可以维持群体结构,表明个体身份,促进种内和种间的交流。在本研究中,白玉兰莺(Setophaga Magnolia)的飞行呼叫特征随季节和记录地点而显著变化,但不受年龄和性别的影响,个体的飞行呼叫彼此之间的相似性明显高于其他个体的呼叫。为了确定飞行呼叫是否编码了迁徙过程中发出信号的个体的特征,我们分析了夜间迁徙的白玉兰林莺呼叫的声学特征。具体来说,我们分析了美国东北部临时捕获的鸟类的呼叫记录,包括缅因州的Appledore岛,纽约的Braddock湾鸟类天文台和宾夕法尼亚州的Powdermill鸟类研究中心,以量化归因于个体身份,性别,年龄,季节性和记录地点的变化。综上所述,我们的研究结果表明,白玉兰莺的飞行叫声可能表现出有意义的个体差异,并表现出以前未描述的时空差异,为未来的研究提供了基础。
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引用次数: 0
Considerations for fitting occupancy models to data from eBird and similar volunteer-collected data 将入住率模型拟合到eBird数据和类似志愿者收集的数据的考虑
Pub Date : 2023-07-21 DOI: 10.1093/ornithology/ukad035
Wesley M Hochachka, Viviana Ruiz Gutierrez, Alison Johnston
An occupancy model makes use of data that are structured as sets of repeated visits to each of many sites, in order estimate the actual probability of occupancy (i.e., proportion of occupied sites) after correcting for imperfect detection using the information contained in the sets of repeated observations. We explore the conditions under which preexisting, volunteer-collected data from the citizen science project eBird can be used for fitting occupancy models. Because the majority of eBird’s data are not collected in the form of repeated observations at individual locations, we explore two ways in which the single-visit records could be used in occupancy models. First, we assess the potential for space-for-time substitution: aggregating single-visit records from different locations within a region into pseudo-repeat visits. On average, eBird’s observers did not make their observations at locations that were representative of the habitat in the surrounding area, which would lead to biased estimates of occupancy probabilities when using space-for-time substitution. Thus, the use of space-for-time substitution is not always appropriate. Second, we explored the utility of including data from single-visit records to supplement sets of repeated-visit data. In a simulation study we found that inclusion of single-visit records increased the precision of occupancy estimates, but only when detection probabilities are high. When detection probability was low, the addition of single-visit records exacerbated biases in estimates of occupancy probability. We conclude that subsets of data from eBird, and likely from similar projects, can be used for occupancy modeling either using space-for-time substation or supplementing repeated-visit data with data from single-visit records. The appropriateness of either alternative will depend on the goals of a study and on the probabilities of detection and occupancy of the species of interest.
占用模型使用数据,这些数据被结构为对许多站点中的每个站点的重复访问集,以便在使用重复观察集中包含的信息纠正不完善的检测后估计占用的实际概率(即占用站点的比例)。我们探索了公民科学项目eBird中预先存在的志愿者收集的数据可以用于拟合占用模型的条件。由于大多数eBird的数据不是以在单个地点重复观察的形式收集的,因此我们探索了两种将单次访问记录用于占用模型的方法。首先,我们评估了空间-时间替代的潜力:将来自一个区域内不同位置的单次访问记录聚合为伪重复访问。平均而言,eBird的观测者并没有在周围地区具有代表性的栖息地进行观测,这将导致在使用空间-时间替代时对占用概率的估计有偏差。因此,使用空间替换时间的方法并不总是合适的。其次,我们探索了将单次访问记录中的数据用于补充重复访问数据集的效用。在模拟研究中,我们发现单次访问记录的包含增加了入住率估计的精度,但只有在检测概率很高的情况下。当检测概率较低时,单次就诊记录的增加加剧了入住概率估计的偏差。我们得出的结论是,来自eBird的数据子集,以及可能来自类似项目的数据子集,可以用于占用建模,或者使用时空变电站,或者用单次访问记录的数据补充重复访问数据。任何一种选择的适当性将取决于研究的目标以及感兴趣的物种被发现和占有的概率。
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引用次数: 0
100 Years Ago in the American Ornithologists’ Union 100年前在美国鸟类学家联盟
Pub Date : 2022-03-15 DOI: 10.1093/ornithology/ukac011
Leesia C Marshall
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引用次数: 0
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