Over 70 million cage‐birds are kept across 12 million households on the island of Java, Indonesia, fuelling serious concerns for the health of regional wild bird populations. Understanding the behaviours, preferences and demographic profiles of bird‐keepers will guide attempts to reduce demand for wild birds and hence the impact of trade on wild populations and their host ecosystems. We profile three songbird‐keeping user‐groups based on interviews of nearly one thousand people across Java: hobbyists, who own birds primarily as pets; contestants, who own birds to enter in singing contests; and breeders, who own birds to breed and train for resale or as a pastime. User‐groups diverged in their bird‐keeping habits and preferences. Hobbyists tended to own small numbers of inexpensive and typically native birds, while contestants and breeders owned larger numbers of often valuable birds. Hobbyists were far less likely to consider origin when buying a bird, owned a larger proportion of both potentially wild‐caught and globally threatened birds, but showed no preference for any taxon. By contrast, owning relatively large numbers of lovebirds Agapornis spp. and Zebra Doves Geopelia striata were key characteristics of contestants, while breeders owned the largest number of birds and species, in particular White‐rumped Shamas Kittacincla malabarica. Within a 2‐year period, user‐group membership was fluid, with much transitioning between non‐bird ownership and hobbyists, recruitment of non‐bird owners to contestants and movement both in and out of the breeder group. Our study provides behavioural change efforts with demographic and geographic profiles to target bird‐keepers, who tended to be more affluent and urban and to live in the eastern provinces. Among bird‐keepers, hobbyists tended to be middle‐aged and lived in the western provinces, contestants were younger urban bird‐keepers employed in business and breeders were commoner in the eastern provinces, reflecting the cultural importance of bird‐keeping among the Javanese. Efforts to increase the sustainability of bird‐keeping in Java should focus on emphasizing the importance of captive‐bred birds, in particular to hobbyists, the largest user‐group, whose bird‐keeping behaviour poses the biggest threat to wild bird populations, whilst also incentivizing legitimate breeding enterprises among contestants and breeders.

The COVID-19 pandemic led to unparalleled pressure on healthcare services. Improved healthcare planning in relation to diseases affecting the respiratory system has consequently become a key concern. We investigated the value of integrating sales of non-prescription medications commonly bought for managing respiratory symptoms, to improve forecasting of weekly registered deaths from respiratory disease at local levels across England, by using over 2 billion transactions logged by a UK high street retailer from March 2016 to March 2020. We report the results from the novel AI (Artificial Intelligence) explainability variable importance tool Model Class Reliance implemented on the PADRUS model (Prediction of Amount of Deaths by Respiratory disease Using Sales). PADRUS is a machine learning model optimised to predict registered deaths from respiratory disease in 314 local authority areas across England through the integration of shopping sales data and focused on purchases of non-prescription medications. We found strong evidence that models incorporating sales data significantly out-perform other models that solely use variables traditionally associated with respiratory disease (e.g. sociodemographics and weather data). Accuracy gains are highest (increases in R² (coefficient of determination) between 0.09 to 0.11) in periods of maximum risk to the general public. Results demonstrate the potential to utilise sales data to monitor population health with information at a high level of geographic granularity.

Demand for cage birds is highly prevalent and increasing across Indonesia, as wild bird populations across Asia decline. To find ways to reduce demand, it is important to understand the motivations and psychographic drivers to keep (or not keep) birds, and how demographic characteristics and public attitudes influence such decisions. Based on surveys with over 3,000 people, we found few people citing health, sanitary, or welfare concerns as reasons for not keeping birds, whereas most people started keeping birds to enjoy their beauty or song, or to keep up with peers. Pet‐keepers (“Hobbyists”) commonly started doing so opportunistically; song contest participants (“Contestants”) and breeders and trainers (“Breeders”) did so for financial gain. Bird‐keepers and non‐bird‐keepers disagreed on birds' environmental importance, longevity in captivity, and endangerment by trade. Older respondents were less concerned that keeping birds endangers them and few felt birds to be an important part of the environment. Hobbyists were least likely to consider wild bird population health a major concern. Efforts to dissuade potential bird‐keepers should focus on public concern for the environment and the threat bird‐keeping poses to wild populations. The importance of peer pressure among bird‐keepers presents an opportunity to promote sustainable bird‐keeping activities among key groups.

The role of Earth observation (EO) data in addressing societal problems from environmental through to humanitarian should not be understated. Recent innovation in EO means provision of analysis ready data and data cubes, which allows for rapid use of EO data. This in combination with processing technologies, such as Google Earth Engine and open source algorithms/software for EO data integration and analyses, has afforded an explosion of information to answer research questions and/or inform policy making. However, there is still a need for both training and validation data within EO projects – often this can be challenging to obtain. It has been suggested that citizen science can help here to provide these data, yet there is some perceived hesitancy in using citizen science within EO projects. This paper reports on the Citizen Science 4 EO (Citizens4EO) project that aimed to obtain an in-depth understanding of researchers’ and practitioners’ experiences with citizen science data in EO within the UK. Through a mixed methods approach (online and in-depth surveys and a spotlight case study) it was found that although the benefits of using citizen science data in EO projects were many (and highlighted in the spotlighted “Slavery from Space” case study), there were a number of common concerns around using citizen science. These were around the mechanics of deploying citizen science and the unreliability of a potentially misinformed or undertrained citizen base. As such, comparing the results of this study with those of a similar survey undertaken in 2016, it is apparent that progress towards optimizing citizen science use in EO has been incremental but positive with evidence of the realization of the benefits of citizen science for EO (Citizens4EO). As such, we conclude by offering priority action areas to support further use of citizen science by the EO community within the UK, which ultimately should be adopted further afield.

Compensation schemes are important tools to counteract crop or livestock loss caused by wildlife of conservation concern. We adopted a research action approach that focused on local actors’ knowledge and evaluations of a compensation scheme for carnivore depredation on livestock in Mexico. We conducted 165 questionnaires with livestock producers in the Calakmul region, who rated criteria covering various aspects of the scheme’s functioning. Three-quarters of participants had heard of the scheme, but only half of those knew the scheme beyond its name. Satisfaction with the scheme’s operation was associated with ease of contacting staff, whereas satisfaction with the result of application related to trust in staff. Using local actors’ perceptions allowed us to reveal criteria used for shaping evaluations. Results were presented during participatory workshops that generated targeted recommendations such as focusing efforts on information reaching areas where producers are less aware of the scheme and vulnerable to predation.