MotivationInformation on species' population trends is essential to assess species' conservation status, make informed environmental decisions and ultimately reduce biodiversity loss. Robust population trends require a long‐term monitoring programme, often using citizen scientists, that ideally generates representative and unbiased data from the study area. Here we present the dataset of the Breeding Bird Survey, the main scheme for monitoring the population changes of common and widespread breeding birds in the United Kingdom, which achieves this through a randomised sampling scheme and defined field methodology. We also describe the modelling approach used to calculate the population trends, which are the main output of the survey.Main Types of Variable ContainedThe main published dataset contains 7,070,577 records detailing counts of 217 bird species in 7010 grid cells over 30 years. Data for 78 species that are currently regarded as too sensitive to be released at fine resolution are omitted. As an illustration of the main use of this dataset, we provide population change estimates for 119 bird species.Spatial Location and GrainGrid squares (1 × 1 km) are randomly selected using a stratified sampling scheme throughout the United Kingdom, Isle of Man and Channel Islands. Data in a grid square are collected along two 1‐km‐long transects which are subdivided into 200‐m‐long sections.Time Period and GrainData have been collected every year since 1994, with two major disruptions in 2001 and 2020, when people's movements were nationally restricted. Grid squares are surveyed twice a year during the main breeding season (April to June). Here we present the data collected from 1994 to 2023.Major Taxa Studied and Level of MeasurementBird species.Software FormatData are supplied as comma‐separated text files.

中文翻译：

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英国繁殖鸟类调查局


动机有关物种种群趋势的信息对于评估物种的保护状况、做出明智的环境决策并最终减少生物多样性的丧失至关重要。稳健的种群趋势需要一个长期的监测计划，通常使用公民科学家，理想情况下，该计划会从研究区域生成具有代表性和公正的数据。在这里，我们展示了繁殖鸟类调查的数据集，这是监测英国常见和广泛繁殖鸟类种群变化的主要方案，它通过随机抽样方案和定义的现场方法来实现这一点。我们还描述了用于计算人口趋势的建模方法，这是调查的主要结果。包含的主要变量类型主要发布的数据集包含 7,070,577 条记录，详细说明了 30 年内 7010 个网格单元中 217 种鸟类的计数。目前被认为太敏感而无法以精细分辨率发布的 78 个物种的数据被省略了。作为该数据集主要用途的说明，我们提供了 119 种鸟类的种群变化估计。空间位置和 GrainGrid 方块（1 × 1 公里）是在整个英国、马恩岛和海峡群岛使用分层抽样方案随机选择的。网格方块中的数据是沿着两个 1 公里长的横断面收集的，这些横断面被细分为 200 米长的部分。自 1994 年以来，我们每年都会收集 Time Period 和 GrainData，其中 2001 年和 2020 年发生了两次重大中断，当时人们的行动在全国范围内受到限制。网格方块在主要繁殖季节（4 月至 6 月）每年进行两次调查。在这里，我们展示了从 1994 年到 2023 年收集的数据。软件格式Data 以逗号分隔的文本文件形式提供。