Information on species' distributions, abundances, and how they change over time is central to the study of the ecology and conservation of animal populations. This information is challenging to obtain at landscape scales across range-wide extents for two main reasons. First, landscape-scale processes that affect populations vary throughout the year and across species' ranges, requiring high-resolution, year-round data across broad, sometimes hemispheric, spatial extents. Second, while citizen science projects can collect data at these resolutions and extents, using these data requires appropriate analysis to address known sources of bias. Here, we present an analytical framework to address these challenges and generate year-round, range-wide distributional information using citizen science data. To illustrate this approach, we apply the framework to Wood Thrush (Hylocichla mustelina), a long-distance Neotropical migrant and species of conservation concern, using data from the citizen science project eBird. We estimate occurrence and abundance across a range of spatial scales throughout the annual cycle. Additionally, we generate intra-annual estimates of the range, intra-annual estimates of the associations between species and characteristics of the landscape, and interannual trends in abundance for breeding and non-breeding seasons. The range-wide population trajectories for Wood Thrush show a close correspondence between breeding and non-breeding seasons with steep declines between 2010 and 2013 followed by shallower rates of decline from 2013 to 2016. The breeding season range-wide population trajectory based on the independently collected and analyzed North American Breeding Bird Survey data also shows this pattern. The information provided here fills important knowledge gaps for Wood Thrush, especially during the less studied migration and non-breeding periods. More generally, the modeling framework presented here can be used to accurately capture landscape scale intra- and interannual distributional dynamics for broadly distributed, highly mobile species.

中文翻译：

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使用公民科学数据对禽类的年度完整周期分布和人口趋势进行建模。

有关物种分布，丰度及其随时间变化的信息对于研究生态和保护动物种群至关重要。出于两个主要原因，要在跨范围范围的景观尺度上获取此信息具有挑战性。首先，影响种群的景观尺度过程在全年和物种范围内变化，因此需要在广阔的，有时是半球形的空间范围内提供高分辨率的全年数据。其次，尽管公民科学项目可以在这些分辨率和范围内收集数据，但使用这些数据需要进行适当的分析以解决已知的偏见。在这里，我们提供了一个分析框架来应对这些挑战，并使用公民科学数据生成全年范围内的分布信息。为了说明这种方法，我们使用来自公民科学项目eBird的数据，将框架应用于长距离新热带移民和自然保护物种Wood Thrush（Hylocichla mustelina）。我们估算了整个年度周期内各种空间尺度上的发生和丰度。此外，我们生成范围内的年度内估计值，景观物种与特征之间的关联的年度内估计值以及繁殖季节和非繁殖季节的年际趋势。Wood Thrush的范围内的人口轨迹显示出繁殖季节与非繁殖季节之间有着密切的对应关系，2010年至2013年间急剧下降，其后2013年至2016年的下降速度较浅。基于独立收集和分析的北美种鸟调查数据的整个繁殖季节范围内的人口轨迹也显示了这种模式。此处提供的信息填补了画眉鸟的重要知识空白，尤其是在研究较少的迁徙和非繁殖时期。更一般而言，此处介绍的建模框架可用于为广泛分布，高度移动的物种准确捕获景观尺度的年内和年际分布动态。