Crossing Eurasia: trans-regional Afghan trading networks in China and beyond

An expanding body of literature in the field of Central Asian studies has brought attention to the problems of considering the region's complex dynamics through the lens of its nation-states. Comparatively less attention has been paid to the role played by trans-regional circulations in connecting parts of Central Asia to the wider world. This paper situates ethnographic work on trans-regional networks of Afghan traders in China, Central Asia, Russia, Ukraine and the UK in relation to the literature on trans-regional connections and circulation societies. Ethnographically it demonstrates the multi-polar nature of these trans-regional networks, and the importance of trading nodes, especially the Chinese city of Yiwu, to their formation and ongoing vitality

Designing a survey to monitor multi-scale impacts of agri-environment schemes on mobile taxa

Agri-environment schemes (AES) are key mechanisms to deliver conservation policy, and include management to provide resources for target taxa. Mobile species may move to areas where resources are increased, without this necessarily having an effect across the wider countryside or on populations over time. Most assessments of AES efficacy have been at small spatial scales, over short timescales, and shown varying results. We developed a survey design based on orthogonal gradients of AES management at local and landscape scales, which will enable the response of several taxa to be monitored. An evidence review of management effects on butterflies, birds and pollinating insects provided data to score AES options. Predicted gradients were calculated using AES uptake, weighted by the evidence scores. Predicted AES gradients for each taxon correlated strongly, and with the average gradient across taxa, supporting the co-location of surveys across different taxa. Nine 1 × 1 km survey squares were selected in each of four regional blocks with broadly homogenous background habitat characteristics. Squares in each block covered orthogonal contrasts across the range of AES gradients at local and landscape scales. This allows the effects of AES on species at each scale, and the interaction between scales, to be tested. AES options and broad habitats were mapped in field surveys, to verify predicted gradients which were based on AES option uptake data. The verified AES gradient had a strong positive relationship with the predicted gradient. AES gradients were broadly independent of background habitat within each block, likely allowing AES effects to be distinguished from potential effects of other habitat variables. Surveys of several mobile taxa are ongoing. This design will allow mobile taxa responses to AES to be tested in the surrounding countryside, as well as on land under AES management, and potentially in terms of population change over time. The design developed here provides a novel, pseudo-experimental approach for assessing the response of mobile species to gradients of management at two spatial scales. A similar design process could be applied in other regions that require a standardized approach to monitoring the impacts of management interventions on target taxa at landscape scales, if equivalent spatial data are available

Landscape-scale species monitoring of agri-environment schemes (LandSpAES project). Final project report, 2022

In this project, we applied a novel, pseudo-experimental design in order to collect a baseline survey dataset of the responses of mobile taxa to local and landscape AES gradients over four years, from 54 survey squares across six regions (NCAs) in England. This is the first project to monitor the responses of multiple mobile taxa to generalised AES gradients across large spatial extents, which were applied to arable, grassland and upland agricultural systems, in order specifically to address impacts beyond AES option or agreement boundaries. This baseline dataset supported a spatial assessment of relationships between the AES gradients and taxon abundance (or activity), species richness and diversity. Strong evidence for relationships with local and / or landscape AES gradients were found for one or more response variable for butterflies, moths and bats. Little or no evidence of AES gradient relationships were found for either bees or hoverflies and weak evidence for associations with bird metrics. A future resurvey would allow analyses of the longer-term changes in target taxa in response to AES management, against this baseline. The identification of various spatial relationships is encouraging in terms of the likely power to detect AES effects on biodiversity change in the future

The benefits of citizen science and nature‐noticing activities for well‐being, nature connectedness and pro‐nature conservation behaviours

The current biodiversity crisis, extinction of experience of nature and rising concern about people's well-being and mental health require us to understand the benefits of activities supporting people's engagement with nature. We ran a 1-week randomised controlled experiment to test the impact of nature-focussed activities on people's connectedness to nature and well-being. This project, called ‘Nature Up Close and Personal: A Wellbeing Experiment’ recruited 500 people who completed the pre- and post-participation surveys which included seven psychometric outcome measures. People were randomly assigned to one of six groups. Those in non-control groups were asked to take part in one 10-min activity five times over 8 days; this could be done in any place with nature near to them. The activities were as follows: two different citizen science activities, a nature-noticing activity (asking people to note three good things in nature: 3GTiN) or a combination of citizen science and 3GTiN. Citizen science, 3GTiN and the combination of the two had significant positive effects on nature connectedness, happiness, sense of worthwhile life and satisfaction with life. 3GTiN (alone and in combination with citizen science) had significant positive effects on pro-nature conservation behaviours. All activities engaged the pathways to nature connectedness. Compared to 3GTiN, people doing citizen science scored lower at engaging with nature through their senses, and feeling calm or joyful, but higher for feeling that they made a difference. The combined activity engaged the pathways to nature connectedness at least as strongly as the highest scoring of citizen science or 3GTiN individually. This shows the potential to intentionally design citizen science to enhance the pathways to nature connectedness. Nature-based citizen science is more than just a way to gather environmental data: it benefits well-being and nature connectedness of participants, and (when in combination with noticing nature activities) pro-nature conservation behaviours. It adds to the range of activities already proven to enhanced human–nature interactions and nature connectedness. Public policy needs to develop a ‘one health’ approach to people's engagement with nature, supporting communities to both notice and monitor everyday biodiversity, recognising that human and nature's well-being is interdependent

Developing technologies for Agri-environment monitoring

Overview of the project Approximately £400 million is invested annually in agri environment schemes in England, designed to compensate farmers for loss of production (income foregone) and additional costs, to meet environmental objectives. A further £1.8 billion in subsidies is paid to comply with environmental conditions of cross compliance and greening. In December 2019, it was estimated there were ca. 50,000 agri-environment agreements covering 1.8 million hectares. Current and previous monitoring of agri-environment schemes is diverse and varied, and conducted at scales of specific management options, whole AES agreements and 1 km squares covering multiple agreements. The Monitoring and Evaluation Programme of these schemes aims to deliver evidence to achieve the following: • Evaluate the delivery of agri-environment schemes and their effectiveness in achieving their intended policy objectives; • Inform current and future agri-environment policy, scheme delivery and development; • Fulfil domestic and European reporting requirements. The existing Monitoring and Evaluation Programme (2015-2020) for Agri-environment schemes (AES) in England includes four elements: integrated monitoring, landscape scale, thematic, and evaluation and synthesis. To date, monitoring has been primarily based on tried-and-tested approaches, which provide widely recognised metrics of quality, condition and species-resolution biodiversity data, and that have counterfactuals often derived from national monitoring schemes to enable evaluation of AES. Developing technologies will need to integrate with existing tried-and-tested approaches but offer huge potential for more extensive and efficient evaluation of AES. In this project we focus on technologies with greatest potential to deliver enhanced and more cost-effective monitoring of environmental ‘outcomes’ of direct land management and interventions, in support of the Environmental Land Management Scheme (ELMS). The technology areas covered by this project are: bioacoustics, DNA-methods, Earth Observation, computer vision and machine learning. For each technology area, the objectives were to: • Carry out horizon scanning of developing technologies which may be relevant for agrienvironment monitoring; • Review how these developing technologies could be used for Agri-environment monitoring; • Review what outputs/outcomes are relevant for the developing technology; • Propose how developing technologies could be used in existing and future agrienvironment monitoring; • Pilot or proof of concept studies to demonstrate how technology could be used for agrienvironment monitoring