Mitigation Actions Research Articles

Elements and Processes Required for the Development of a Spring-Breakup Ice-Jam Flood Forecasting System (Churchill River, Atlantic Canada)

Spring-breakup ice-jam floods are a major hazard for many rivers in cold regions. They can cause severe damage to infrastructure, property, and ecosystems along riverbanks. To reduce the risk and impact of these events, it is essential to develop reliable and timely forecasting systems that can provide early warning and guidance for mitigation actions. In this paper, we highlight the elements and processes required for the successful development of a spring-breakup ice-jam flood forecasting system, using the lower Churchill River in Labrador, Canada as a case study. We review the existing forecasting methodologies and systems for spring-breakup ice-jam floods and discuss their strengths and limitations. We then describe the case study of the lower Churchill River, where a large ice-jam flood occurred in May 2017, triggering an independent review and a series of recommendations for improving the flood preparedness and response. We present the main components and features of the forecasting system that was developed for the lower Churchill River, based on the recommendations from the independent review. We also discuss the improvements that were made to the forecasting system, such as parallelization, adaptation, and determination of ice-jam prone areas. Finally, we provide some conclusions and recommendations for future research and development of spring-breakup ice-jam flood forecasting systems, focusing on the requirements for a technical framework that incorporates community engagement and special considerations for regulated rivers.

Food fraud threats in UK post-harvest seafood supply chains; an assessment of current vulnerabilities.

Seafood fraud is commonly reported on food fraud databases and deceptive practices are highlighted by numerous studies, with impacts on the economy, health and marine conservation. Food fraud assessments are a widely accepted fraud mitigation and prevention activity undertaken to identify possible points of deception within a supply chain. This study aims to understand the food fraud vulnerability of post-harvest seafood supply chains in the UK and determine if there are differences according to commodity, supply chain node, business size and certification status. The SSAFE food fraud vulnerability assessment tool was used to assess 48 fraud factors relating to opportunities, motivations and controls. The analysis found seafood supply chains to have a medium vulnerability to food fraud, with the highest perceived vulnerability in technical opportunities. Certification status was a stronger determinant of vulnerability than any other factor, particularly in the level of controls, a factor that also indicated a higher perceived level of vulnerability in smaller companies and the food service industry. This paper also reviews historic food fraud trends in the sector to provide additional insights and the analysis indicates that certain areas of the supply chain, including uncertified prawn supply chains, salmon supply chains and food service companies, may be at higher risk of food fraud. This study conducts an in-depth examination of food fraud vulnerability relating to the UK and for seafood supply chains and contributes to a growing body of literature identifying areas of vulnerability and resilience to food related criminality within the global food system.

Porojen talviruokinta ja sen vaikutukset porojen käyttäytymiseen, poronhoitokäytäntöihin ja ympäristöön

This report is based on the results from a Nordic network project funded by The Nordic Joint Committee for Agricultural and Food Research (NKJ) during the years 2021-2022. This network was created to encourage further cross-border discussions about the prospects of winter feeding of reindeer. In reindeer husbandry winter feeding has increased during the last decades due to competing land use activities and climate change. Herders in Norway, Sweden and Finland have previously raised concerns about the benefits and risks associated to the increasing need of winter feeding of reindeer in all three countries. The report, published in Swedish, Norwegian, Finnish and North Sámi, and covers the main findings from a series of preparatory workshops within each country and a main workshop in Arvidsjaur 8-9 June 2022. During the network activities, reindeer herders, researchers and managers discussed the effects of feeding on reindeer behaviour, herding practices and the environment. The two main topics discussed at the preparatory workshops were 1) the short- and long-term effects of winter feeding on reindeer behaviour, and 2) local to large scale effects of feeding on the environment and the natural pastures. During the main workshop, discussions were held about reasons for feeding of reindeer, the preconditions of feeding in the three countries, how winter feeding is usually performed, and best practices in relation to reindeer behaviour and the environment. The work aimed at promoting knowledge exchange on winter feeding of reindeer among all participants to help find solutions and mitigation actions to avoid changes in reindeer behaviour and negative effects of feeding on reindeer, reindeer herding and the environment. The report is aimed at herders, managers, as well as other land users, authorities and policymakers to give information on what was discussed and a summary of the challenges related to winter feeding and effects on reindeer behaviour and reindeer husbandry, and the environment. Rangifer Report No 19 is the Finnish version of the report. The Swedish version has been published (Rangifer Report No 18) and reports in Norwegian and North Sámi are published as following numbers of Rangifer Report.

Food tourism to revitalize the Basque Country

The research examines the impacts of sensory experiences, taste, and destination food imagery on tourists' attitude. This study changes risks into positive attributes like safety and security, which significantly shape tourist decision-making processes. It underscores the significance of emotional well-being and safety concerns impacting tourists' visiting intentions. Employing Partial Least Squares Structural Equation Modelling, the study focuses on exploring the relationships among food tourism motivators, destination food image, safety perceptions, and the pandemic's impact on tourists' behavioural intentions within the Basque region. With a sample of 601 participants, this research emphasizes the importance of integrating risk mitigation actions and managing emotional states to design strategies for the sustained growth of the tourism industry.

Overlaps of indigenous knowledge and climate change mitigation: evidence from a systematic review

There is now increasing acknowledgement of the role of indigenous and local people (ILP) in climate change, particularly in impact assessment, mitigation and adaptation. However, the methods and ways on how exactly indigenous and local knowledge (ILK) can be used in climate change action largely remain fragmented. While a growing share of scholarship has addressed the overlaps between ILK and adaptation, limited attention has been given on practical ways of working with indigenous communities to enhance knowledge of implementing mitigation actions. Without clearly articulated indigenous-sensitive methods for ILK integration in mitigation science, holders and users of this knowledge may remain at the boundaries of climate change action. Their knowledge and experiences may not be used to guide effective greenhouse gas (GHG) emission reduction activities. There are also fears that hurriedly and poorly developed mitigation projects that ignore indigenous and local communities may infringe their customary rights and livelihoods. To contribute to improved guidance on meaningful involvement of ILP in climate change mitigation, this study used the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) to systematically review literature that links ILK and climate mitigation. We do this by (a) Identifying case studies that examine the overlaps of ILK and climate change mitigation from Scopus and Web of Science databases (n = 43); (b) analysing the methods used for engaging indigenous people in these studies; (c) determining the knowledge, ways, practices and experiences of ILP that show mitigation benefits; and (d) highlighting the direction for participatory engagement of ILP in mitigation research and practice. We have added to the emerging but fast growing knowledge on the overlaps of ILK and climate change mitigation. This intersection is evident in three ways: (a) Validation and application of concepts used to understand carbon sequestration; (b) GHG emission reduction mainly from natural resource dependent livelihoods involving ILP; and (c) the application of participatory methodologies in research and the practice of climate change mitigation. We conclude that studies that focus on the intersection of ILK and climate mitigation need to use indigenous-sensitive methodologies to give more benefits for climate mitigation objectives while recognising the rights of ILP.

How corporate climate change mitigation actions affect the cost of capital

AbstractJapan has been at the forefront of global efforts to accelerate climate change mitigation. Japanese firms have led in the development of decarbonization technologies and have positively disclosed climate change‐related information based on the Task Force on Climate‐related Financial Disclosures recommendations to address climate change. We explore the relationship between corporate climate change mitigation actions and the cost of capital for 2100 Japanese listed companies from 2017 to 2021. The results reveal that a higher carbon intensity correlates with an increased cost of equity, debt, and weighted average cost of capital. Interestingly, although climate‐related information disclosure is associated with an increased cost of debt, it concurrently lowers the cost of equity and overall capital. This research recommends strategic approaches for firms to reduce their costs of capital while proactively combating climate change, highlighting the divergent responses of equity and bond markets to decarbonization initiatives.

Supply Chain Risk Mitigation Using the House of Risk Approach: Evidence in an Indonesian Catering Company

A company that operates in the culinary business certainly requires a supply chain function for raw materials. However, supply chain activities may involve risks that can hamper the business. This research aimed to identify risks that might occur in the supply chain at PT AU, carry out a risk assessment, and recommend mitigation actions. In this research, the researcher have used the initial method, namely SCOR, to map existing activities, then identify risk events and their severity values, identify the causes of risks and their occurrence values, calculate the ARP value with the help of Microsoft Excel, and see the highest ranking. Next, HOR phase 2 is to provide recommendations for mitigation actions that are suitable for implementation by the company, which will then be calculated to determine the priority ranking for implementing the mitigation actions that have been given. Keywords: supply chain, SCOR, HOR, risk, mitigation

An evaluation of air quality impact prediction performance undertaken as part of environmental impact assessment (EIA) in India

Effective implementation of the Environmental Impact Assessment (EIA) is recognised as a global issue, in particular the impact prediction stage, which is the ‘core’ of EIA. Consisting of four stages: impact identification, impact assessment, significance evaluation, and mitigation measures on the possible environmental repercussions of project developmental activities, the efficacy of impact prediction can define the quality of the EIA process, which will better align environmental decision-making to sustainable development. The weakness of impact prediction in EIA demands more study to enhance practice. Although this is widely explored in the context of developed countries such as the UK, it is particularly concerning in India. A specialised review package built from several sources is utilised to assess the efficacy of air quality impact prediction, based on Lee & Colley (1991). 20 EIA reports of Category A (mega-scale projects causing significant environmental impacts) are reviewed. This study's evaluation indicates that significance evaluation and mitigation actions are the weakest phases and a major concern while assessing air quality studies conducted as a part of EIA. Recommendations to improve the process include prioritising the cumulative impact assessment within the regulatory framework, enhancing capacity building, embedding public participation and instilling accountability among stakeholders, which can be adopted globally. Additional recommendations specifically for India are revising the National Ambient Air Quality Standards (NAAQS), restructuring the EIA review mechanism by EAC and improving mitigation measures by adopting GIS and remote sensing technologies.

SAFE – A risk management tool to protect both people and pets in residential aged care facilities

Abstract Pet ownership has known health and well-being benefits for people of all ages. Most previous research on pet ownership among older people has focussed on older people with pets living independently in their own homes or the effects of visiting pet programs in residential aged care. With structural ageing of populations globally, the number of humans living into old age is increasing. Even with home support and care policies, an increasing number will need to live in communal aged care settings. Currently, pets rarely accompany older persons into communal residential aged care. This article presents a risk management tool – Safe Animal Friendly Environments (SAFE) – designed to facilitate and maintain private pet ownership among older people living in residential aged care facilities. SAFE was developed to identify best practice for both human and animal well-being in residential aged care. The tool supports both human and animal well-being during a human stage of life with many losses and pains while reducing the number of pet animals needlessly relinquished or even euthanised when owners need to ‘go into care’. It was developed using a Delphi process with multidisciplinary expert input. We identify the different types of risks for stakeholders (residents with pets, aged care facility staff and pets), including physical, zoonotic and psychological risks. None of the identified risks of pets in aged care are unmanageable. SAFE reduces risks to acceptable levels and directs how to remove them where possible. SAFE has a summative table listing 17 general risks: from animals to humans, humans to animals and animals to animals. Each identified risk has a pre-mitigation risk assessment (low, medium or high), recommended mitigation actions and a post-mitigation risk rating (low, medium or high). Post-mitigation risk is reduced to ‘low’ in almost all scenarios. SAFE has separate tables for dogs, cats, small mammals, birds and fish, each preceded by a best practice case study. The discussion links the Ottawa Charter for (human) health promotion and use of SAFE. SAFE contributes to the inclusion of residential aged care as a context for the personal human-animal bond.

Assessing and predicting green gentrification susceptibility using an integrated machine learning approach

ABSTRACT Greenery initiatives, such as green infrastructures (GIs), create sustainable and climate-resilient environments. However, they can also have unintended consequences, such as displacement and gentrification in low-income areas. This paper proposes an integrated machine learning (ML) approach that combines both unsupervised and supervised ML algorithms. First, 35 indicators that contribute to green gentrification were identified and categorised into 7 categories: social, economic, demographic, housing, household, amenities, and GIs. Second, data was collected for all census tracts in New York City. Third, the green gentrification susceptibility was modelled into 6 levels using k-means clustering analysis, which is an unsupervised ML model. Fourth, the Technique for Order of Preference by Similarity to the Ideal Solution (TOPSIS) was used to map the census tracts to their green gentrification susceptibility level. Finally, different supervised ML algorithms were trained and tested to predict the green gentrification susceptibility. The results showed that the artificial neural network (ANN) model is the most accurate in classifying and predicting the green gentrification susceptibility with an overall accuracy of 96%. Moreover, the outcomes showed that the Normal Difference Vegetation Index (NDVI), the proximity to GIs, the GIs frequency, and the total area of GIs were identified as the most important indicators to predict green gentrification susceptibility. Ultimately, the proposed approach allows practitioners and researchers to perform micro-level (i.e. on the census-tracts level) predictions and inferences about green gentrification susceptibility. This allows more focused and targeted mitigation actions to be designed and implemented in the most affected communities, thus promoting environmental justice.

A pathway to urban resilience: investigating green open space priority areas to mitigate the urban heat island phenomenon in Samarinda City, Indonesia

PurposeThe potential for massive economic growth exists in Samarinda City due to the intensification of activities in built-up areas. This suggests the potential for increased urban disease in the relocation of Indonesia’s new capital city to a location adjacent to Samarinda. One of the most striking impacts is the urban heat island (UHI). The increase in this phenomenon can be addressed effectively and efficiently through the provision and arrangement of appropriate vegetation-based actions. Therefore, this study aims to identify priority areas of green open space (GOS) based on UHI levels. In addition, this study also aims to present alternative mitigation measures to reduce the risk of disasters due to UHI.Design/methodology/approachA mixed-method approach was used in this research, involving an initial land surface temperature analysis to identify the UHI class. This analysis was complemented by quantitative spatial analyses, such as scoring, overlay and intersect methods, to determine the priority level class and the typology of GOS priority. A qualitative analysis was also conducted through data triangulation or comparison methods, such as examining existing land use, GOS priority maps and spatial plan policies.FindingsThe findings show that the total UHI area in Samarinda City was 6,936.4 ha in 2019 and is divided into three classifications. In Class 1, the UHI area is very dominant, reaching 87% of the total area. Meanwhile, the main results identified two priority classes of GOS in Samarinda, namely, the medium and high categories with an area of 960.43 ha and 113.57 ha, respectively. The results also showed that there were 17 typologies associated with five alternative mitigation measures: green industry, greening parking lots, improving urban green infrastructure and buildings, urban greening and mining restoration.Research limitations/implicationsSpecific to assessing UHI, image data were available only in medium spatial resolution, leading to a consequence of detailed accuracy. In addition, since the determination of mitigation considered local policies, the method should be used in other locations requiring adjustments to existing regulations, specifically those related to spatial planning.Originality/valueThis study makes a significant contribution to the understanding of the UHI phenomenon in Indonesia, especially in the urban areas of Kalimantan Island. In addition, the study presents new insights into alternative mitigation actions to reduce the risk of UHI. Innovatively, this study introduces a typology of regions associated with appropriate alternative mitigation actions, making it an important achievement for the first time in the context of this study.

Conceptual model of global plants entrapping plastics

Aquatic plants, seagrasses, macrophytes, mangroves, and riparian vegetation are responsible for some of the most important ecosystem services provided on the Earth. Given their role in trapping plastics along rivers, we propose a new ecosystem service of plastic entrapment by global plants. Although research started recently to study vegetation trapping plastics, little is known about the global patterns of plastic retention and remobilization by vegetation through different habitats. Given those gaps, we synthesize global data on plastic entrapment in plants providing a conceptual model to describe processes for plastic retention by vegetation. Our results demonstrate how vegetation has a pivotal role in entrapping plastics across spatial and temporal scales, finding the higher density of plastics on plants rather than in the adjacent water area. Furthermore, we proposed a conceptual model (i.e., Plant Plastic Pathway) of plants entrapping plastics, highlighting spatial and temporal scales of plastic retention and release processes in different habitats. Thus, we anticipate our conceptual model to be a starting point for more sophisticated future studies, putting effort into looking at plastic–vegetation dynamics. Our conceptual model may have a crucial effect if applied to plastic hotspot area detection with clean-up and mitigation actions in riverine ecosystems.

Influence of BIM and Lean on mitigating delay factors in building projects

Building projects are affected by various phenomena that can affect their success and continuity and, in the worst cases, can lead to project abandonment. The delay has been identified as one of the phenomena with the most significant impact and recurrence; therefore, mitigation actions are required. BIM and Lean Construction are two approaches with great potential to mitigate delay-generating factors. However, more studies need to be conducted to analyze their influence on mitigating schedule delays. Considering this gap, this paper focuses on analyzing the influence of Lean Construction tools, and BIM uses that favor mitigating the main factors that generate variations in the construction schedules of residential buildings. The research method was divided into five main stages: (1) delay factors identification; (2) BIM uses identification; (3) Lean tools identification; (4) questionnaire design, validation, and application; and (5) influence quantitative analysis. A total of 20 delay factors, eight BIM uses, and eight Lean tools were selected. Next, a consultation was conducted with 50 building project managers and two residential building projects were analyzed. The findings show that implementing BIM and Lean tools greatly influences mitigating delay factors such as errors and deficiencies in design documents, inefficient project planning and scheduling, and poor communication and coordination with designers. BIM uses that have a strong influence on reducing delays include 4D construction planning and 4D construction analysis and optimization. In the Lean domain, the Last Planner System (LPS) and collaborative meetings have a high influence on mitigating delays. This study provides valuable insights for construction project managers to improve overall project efficiency by optimizing the implementation of BIM uses and Lean tools.

Bayesian Inference for Multiple Datasets

Estimating parameters for multiple datasets can be time consuming, especially when the number of datasets is large. One solution is to sample from multiple datasets simultaneously using Bayesian methods such as adaptive multiple importance sampling (AMIS). Here, we use the AMIS approach to fit a von Mises distribution to multiple datasets for wind trajectories derived from a Lagrangian Particle Dispersion Model driven from 3D meteorological data. A posterior distribution of parameters can help to characterise the uncertainties in wind trajectories in a form that can be used as inputs for predictive models of wind-dispersed insect pests and the pathogens of agricultural crops for use in evaluating risk and in planning mitigation actions. The novelty of our study is in testing the performance of the method on a very large number of datasets (>11,000). Our results show that AMIS can significantly improve the efficiency of parameter inference for multiple datasets.

Population health implications of exposure to pervasive military aircraft noise pollution.

While the adverse health effects of civil aircraft noise are relatively well studied, impacts associated with more intense and intermittent noise from military aviation have been rarely assessed. In recent years, increased training at Naval Air Station Whidbey Island, USA has raised concerns regarding the public health and well-being implications of noise from military aviation. This study assessed the public health risks of military aircraft noise by developing a systematic workflow that uses acoustic and aircraft operations data to map noise exposure and predict health outcomes at the population scale. Acoustic data encompassing seven years of monitoring efforts were integrated with flight operations data for 2020-2021 and a Department of Defense noise simulation model to characterize the noise regime. The model produced contours for day-night, nighttime, and 24-h average levels, which were validated by field monitoring and mapped to yield the estimated noise burden. Established thresholds and exposure-response relationships were used to predict the population subject to potential noise-related health effects, including annoyance, sleep disturbance, hearing impairment, and delays in childhood learning. Over 74,000 people within the area of aircraft noise exposure were at risk of adverse health effects. Of those exposed, substantial numbers were estimated to be highly annoyed and highly sleep disturbed, and several schools were exposed to levels that place them at risk of delay in childhood learning. Noise in some areas exceeded thresholds established by federal regulations for public health, residential land use and noise mitigation action, as well as the ranges of established exposure-response relationships. This study quantified the extensive spatial scale and population health burden of noise from military aviation.We employed a novel GIS-based workflow for relating mapped distributions of aircraft noise exposure to a suite of public health outcomes by integrating acoustic monitoring and simulation data with a dasymetric population density map. This approach enables the evaluation of population health impacts due to past, current, and future proposed military operations. Moreover, itcanbemodified for application to other environmental noise sources and offers an improved open-sourcetool to assess the population health implications of environmental noise exposure, inform at-risk communities, and guide efforts in noise mitigation and policy governing noise legislation, urban planning, and land use.

Atmospheric black carbon observations and its valley-mountain dynamics: Eastern cordillera of the central Andes of Peru

Glacial bodies in the Peruvian Andes Mountains store and supply freshwater to hundreds of thousands of people in central Peru. Atmospheric black carbon (BC) is known to accelerate melting of snow and ice, in addition to contributing to air pollution and the health of people. Currently there is limited understanding on the sources and temporal variability of BC in valley and mountain environments in Peru. To address this problem, this study combined surface observations of BC collected during 2022–2023 with WRF model simulations and HYSPLIT trajectories to analyze the dispersion and sources of BC in valley and high elevation environments and the associated local atmospheric circulations. Results show high BC concentrations are associated with the valley-mountain wind system that occurs on both sides of the Huaytapallana mountain range. A pronounced circulation occurs on the western slopes of Huaytapallana when concentrations of BC increase during daylight hours, which transports atmospheric pollutants from cities in the Mantaro River Valley to the Huaytapallana mountain range. Low concentrations of BC are associated with circulations from the east that are channeled by the pronounced ravines of the Andes-Amazon transition. On average, during the season of highest BC concentrations (July–November), the relative contributions of fossil fuels are dominant to biomass burning at the valley observatory and are slightly lower at the Huaytapallana observatory. These results demonstrate the need to promote mitigation actions to reduce emissions of BC and air pollution associated with forest fires and local anthropogenic activity.

Dynamic Evaluation of Environmental Effects Associated with the Inclusion of Hydrogen-powered Vehicles in Colombia

Currently, the generation of CO2 emissions into the environment has increased due to the use of fossil fuels by the transportation sector and other economic sectors, motivating governments to propose mitigation actions. As a result, the search for zero-emission transportation alternatives has gained momentum, with Hydrogen technology being one of the promising solutions due to its clean and efficient energy source. In compliance with this, the Hydrogen roadmap was developed in Colombia, which seeks to encourage the use of hydrogen as a fuel and energy generator in the country. In this study, the current composition of the vehicle fleet was characterized, then a dynamic simulation model was constructed for the replacement of fossil fuel vehicles with zero-emission vehicles, considering the particularities of the country, to finally analyze the generation of CO2 in the vehicle fleet from different scenarios related to the policies proposed by the government of Colombia and stipulated in the roadmap of hydrogen. With this, it was possible to demonstrate the positive impact of taking measures for vehicle replacement in the long term. Additionally, the model could be employed in other countries, considering the particularities of the vehicle fleet and the regulations specific to the regions.

Vinterutfodring av renar - effekter på renarnas beteende, renskötseln och miljön

This report is based on the results from a Nordic network project funded by The Nordic Joint Committee for Agricultural and Food Research (NKJ) during the years 2021-2022. This network was created to encourage further cross-border discussions about the prospects of winter feeding of reindeer. In reindeer husbandry winter feeding has increased during the last decades due to competing land use activities and climate change. Herders in Norway, Sweden and Finland have previously raised concerns about the benefits and risks associated to the increasing need of winter feeding of reindeer in all three countries. The report, published in Swedish, Norwegian, Finnish and North Sámi, and covers the main findings from a series of preparatory workshops within each country and a main workshop in Arvidsjaur 8-9 June 2022. During the network activities, reindeer herders, researchers and managers discussed the effects of feeding on reindeer behaviour, herding practices and the environment. The two main topics discussed at the preparatory workshops were 1) the short- and long-term effects of winter feeding on reindeer behaviour, and 2) local to large scale effects of feeding on the environment and the natural pastures. During the main workshop, discussions were held about reasons for feeding of reindeer, the preconditions of feeding in the three countries, how winter feeding is usually performed, and best practices in relation to reindeer behaviour and the environment. The work aimed at promoting knowledge exchange on winter feeding of reindeer among all participants to help find solutions and mitigation actions to avoid changes in reindeer behaviour and negative effects of feeding on reindeer, reindeer herding and the environment. The report is aimed at herders, managers, as well as other land users, authorities and policymakers to give information on what was discussed and a summary of the challenges related to winter feeding and effects on reindeer behaviour and reindeer husbandry, and the environment. Rangifer Report No 18 is the Swedish version of the report. Reports in Norwegian, Finnish and North Sámi are published as following numbers of Rangifer Report.

Lead poisoning of raptors: state of the science and cross-discipline mitigation options for a global problem.

Lead poisoning is an important global conservation problem for many species of wildlife, especially raptors. Despite the increasing number of individual studies and regional reviews of lead poisoning of raptors, it has been over a decade since this information has been compiled into a comprehensive global review. Here, we summarize the state of knowledge of lead poisoning of raptors, we review developments in manufacturing of non-lead ammunition, the use of which can reduce the most pervasive source of lead these birds encounter, and we compile data on voluntary and regulatory mitigation options and their associated sociological context. We support our literature review with case studies of mitigation actions, largely provided by the conservation practitioners who study or manage these efforts. Our review illustrates the growing awareness and understanding of lead exposure of raptors, and it shows that the science underpinning this understanding has expanded considerably in recent years. We also show that the political and social appetite for managing lead ammunition appears to vary substantially across administrative regions, countries, and continents. Improved understanding of the drivers of this variation could support more effective mitigation of lead exposure of wildlife. This review also shows that mitigation strategies are likely to be most effective when they are outcome driven, consider behavioural theory, local cultures, and environmental conditions, effectively monitor participation, compliance, and levels of raptor exposure, and support both environmental and human health.

Not in the countryside please! Investigating UK residents’ perceptions of an introduced species, the ring-necked parakeet (Psittacula krameri)

Wildlife management can generate social conflict when stakeholder perceptions of the target species are not considered. Introduced Ring-necked Parakeets (RNP) are established in the UK and have been added to the ‘general licence’ of birds that can be killed to prevent serious economic damage. We aimed to better understand perceptions of RNPs on a nationwide scale to inform mitigation actions for potential future conflict over RNP management. We surveyed 3,947 UK residents to understand awareness of, knowledge of and attitudes towards the RNP across the UK. We found that most respondents (90.2%) were aware of the RNP. Almost half of respondents (45.9%) held negative opinions, particularly against the RNP in rural areas (64.7%), suggesting landscape contexts influence attitudes. Respondent preference for the RNP was low in local neighbourhoods (7.80%) although the species was considered aesthetically pleasing by most (83.0%). Many respondents knew the species’ name (54.9%), but underestimated current population numbers in the UK (82.6%) and few knew its full native range (10.0%). We identified respondents’ ecological interest, age, education, preference for, awareness of and knowledge of the RNP as significant factors associated with perceptions. Our findings suggest that the RNP presents a complex socio-environmental challenge, with respondent awareness, knowledge and attitudes each forming an important component of perceptions towards this species. We recommend that wildlife managers utilise our findings and cohesive approach to enhance future RNP perception research in the UK and abroad and towards the success of any proposed management initiatives under the UK general licence.