The Breeding Bird Survey of the United Kingdom

IF 6.3 1区环境科学与生态学 Q1 ECOLOGY

Global Ecology and Biogeography Pub Date : 2024-12-13 DOI:10.1111/geb.13943

Dario Massimino, Stephen R. Baillie, Dawn E. Balmer, Richard I. Bashford, Richard D. Gregory, Sarah J. Harris, James J. N. Heywood, Leah A. Kelly, David G. Noble, James W. Pearce-Higgins, Michael J. Raven, Kate Risely, Paul Woodcock, Simon R. Wotton, Simon Gillings

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引用次数: 0

Abstract

Motivation

Information 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 Contained

The 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 Grain

Grid 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 Grain

Data 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 Measurement

Bird species.

Software Format

Data are supplied as comma-separated text files.

Abstract Image

查看原文本刊更多论文

物种种群趋势信息对于评估物种保护状况、做出明智的环境决策以及最终减少生物多样性损失至关重要。稳健的种群趋势需要长期的监测计划，通常需要公民科学家的参与，最好能从研究区域生成具有代表性且无偏见的数据。在此，我们介绍了 "繁殖鸟类调查 "的数据集，该调查是监测英国常见和广泛繁殖鸟类种群变化的主要计划，通过随机抽样计划和明确的实地方法实现了这一目标。我们还介绍了用于计算种群趋势的建模方法，种群趋势是调查的主要结果。

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来源期刊

Global Ecology and Biogeography 环境科学-生态学

CiteScore

12.10

自引率

3.10%

发文量

170

审稿时长

3 months

期刊介绍： Global Ecology and Biogeography (GEB) welcomes papers that investigate broad-scale (in space, time and/or taxonomy), general patterns in the organization of ecological systems and assemblages, and the processes that underlie them. In particular, GEB welcomes studies that use macroecological methods, comparative analyses, meta-analyses, reviews, spatial analyses and modelling to arrive at general, conceptual conclusions. Studies in GEB need not be global in spatial extent, but the conclusions and implications of the study must be relevant to ecologists and biogeographers globally, rather than being limited to local areas, or specific taxa. Similarly, GEB is not limited to spatial studies; we are equally interested in the general patterns of nature through time, among taxa (e.g., body sizes, dispersal abilities), through the course of evolution, etc. Further, GEB welcomes papers that investigate general impacts of human activities on ecological systems in accordance with the above criteria.