A study led by BTO uses data from GPS tracking and other research to identify the likelihood of seabirds of 27 species interacting with areas off sea earmarked for 41 new offshore wind farms around the UK.

Although the Woodcock is one of the world’s most abundant wading birds, Britain’s resident population has been declining since at least the end of the 1960s. Periodic Woodcock surveys began in 2003 and have been repeated in 2013 and 2023. This paper reports on the latest of these surveys.

Collaborative research involving BTO examines the effects of the conflict in Ukraine on the migration of the endangered Greater Spotted Eagle.

This is the 29th annual report of the BTO/JNCC/RSPB Breeding Bird Survey (BBS) and Waterways Breeding Bird Survey (WBBS), documenting the population trends of widespread UK breeding bird species during the periods 1994–2023 and 1998–2023 respectively. These are the main schemes for monitoring the population changes of the UK’s widespread breeding birds, providing an important indicator of the health of the countryside. The results are published annually as Official Statistics and used widely by Defra and the Statutory Nature Conservation Bodies (SNCBs, e.g. Natural England and NatureScot) to set priorities and to inform conservation action, and as the evidence base against which the UK’s biodiversity targets are measured. BBS data are also routinely used in research, with recent examples including peer-reviewed papers published in 2022 and 2024 which measured the efficacy of the UK’s network of protected areas in supporting wildlife. The 2023 Breeding Bird Survey Report celebrates the 30-year anniversary of fieldwork for the scheme, in particular the amazing commitment and dedication of its volunteers. It is a mixed picture for birds: Swift and Swallow show widespread decline, whereas some species are faring better, particularly in Scotland where species of scrub and woodland are doing better than in England. Download the 2023 report >Browse all editions of the Breeding Bird Survey Report >Press releases UKNorthern IrelandScotlandWales

The last few decades have seen large-scale changes in the landscapes of the UK, with most land being managed more intensively and increasingly little left for wildlife. There are some positive changes though, with habitat restoration initiatives and a greater focus on ‘landscape conservation’. This recognises that small patches of habitat, such as are found in many nature reserves, are unlikely to be enough – they need to be bigger and better connected. But in today’s crowded landscape how can this be achieved? One way to determine where habitat restoration might most usefully occur is to use computer models to predict how changing landscapes in particular areas might best benefit different wildlife groups. This collaborative paper involving BTO, led by colleagues at UKCEH, attempted to do just that by developing a computer model that can be adapted to suit different groups, including bees, bats and birds. The family of models is called the ‘4pop’ models, and that for birds is known as the ‘bird4pop’ model. These models work by simulating how individuals move, forage and breed over time, so birth (i.e. number of chicks hatched) and death rates can be estimated. This allows researchers to investigate how populations might change over time under different landscape scenarios. The bird models were set up based on the expert knowledge of authors, together with information gleaned from the published literature. The models looked specifically at three groups of birds (woodland specialists, woodland generalists and edge-nesting farmland passerines) and four individual species. The researchers then tested exactly how well the models predicted actual bird counts from BTO/JNCC/RSPB Breeding Bird Survey, based just on the habitat features present in the squares. The models did a reasonable job and, perhaps unsurprisingly, did a slightly better job for the individual species than for the multispecies groups. There is still work to be done before these models can be used in real-world decision-making situations, but they form a firm foundation, filling a gap by offering a flexible approach that can be adapted to mimic the needs of multiple species. They also allow the integration of different forms of knowledge (data from field studies, expert opinion, citizen science and standardised monitoring, alongside landcover data) to help address the challenge of promoting landscapes that are better for wildlife.