An Assessment of Montserrat's Fisheries

This report provides an assessment of Montserrat's fisheries, and includes an estimate of the status of six species targeted by the fishery

Travel Behaviour Response to Major Transport System Disruptions: Implications for Smarter Resilience Planning

No abstract available

Shaping sustainable harvest boundaries for marine populations despite estimation bias

Biased estimates of population status are a pervasive conservation problem. This problem has plagued assessments of commercial exploitation of marine species and can threaten the sustainability of both populations and fisheries. We develop a computer-intensive approach to minimize adverse effects of persistent estimation bias in assessments by optimizing operational harvest measures (harvest control rules) with closed-loop simulation of resource–management feedback systems: management strategy evaluation. Using saithe (Pollachius virens), a bottom-water, apex predator in the North Sea, as a real-world case study, we illustrate the approach by first diagnosing robustness of the existing harvest control rule and then optimizing it through propagation of biases (overestimated stock abundance and underestimated fishing pressure) along with select process and observation uncertainties. Analyses showed that severe biases lead to overly optimistic catch limits and then progressively magnify the amplitude of catch fluctuation, thereby posing unacceptably high overharvest risks. Consistent performance of management strategies to conserve the resource can be achieved by developing more robust control rules. These rules explicitly account for estimation bias through a computational grid search for a set of control parameters (threshold abundance that triggers management action, Btrigger, and target exploitation rate, Ftarget) that maximize yield while keeping stock abundance above a precautionary level. When the biases become too severe, optimized control parameters– for saithe, raising Btrigger and lowering Ftarget–would safeguard against overharvest risk (<3.5% probability of stock depletion) and provide short-term stability in catch limit (<20% year-to-year variation), thereby minimizing disruption to fishing communities. The precautionary approach to fine-tuning adaptive risk management through management strategy evaluation offers a powerful tool to better shape sustainable harvest boundaries for exploited resource populations when estimation bias persists. By explicitly accounting for emergent sources of uncertainty our proposed approach ensures effective conservation and sustainable exploitation of living marine resources even under profound uncertainty.submittedVersio

Socio-economic impacts of alternative GIN control practices. Project deliverable 11 (WP4)

This report is a deliverable (WP4) from the EU-funded PrOPara project. The PrOPara project aspires to i) assess existing knowledge from research, development and benchmarking studies on alternatives to parasite control on organic ruminant farms, ii) collecting novel data on disease prevalence, risk assessment analysis and parasite control measures, through monitoring (farm surveys and stakeholder participation studies), iii) performing cost-benefit analysis on alternative parasite control measures and iv) developing and delivering technical innovation to facilitate implementation of sustainable parasite control strategies. A combined approach of modelling and focus groups for feedback was employed to assess the economic impacts of alternative GIN control strategies in South West France and North East Scotland. This two step method allowed results from the survey and farm modelling to be used during workshops, which also addressed social factors explaining the uptake and acceptance of GIN practices to control parasites. An existing excel based farm model was adapted in order to estimate the economic impacts of a range of alternative GIN practices. The model was adapted using data from a typical farm for organic goat system in France (Occitanie and Auvergne-Rhône-Alpes Regions) and two organic sheep systems (lowland and upland) in Scotland. A structured workshop approach was utilised to address both the social and economic factors related to adoption of alternative GIN practices by farmers. To this purpose, we adapted the Structured Decision Making (SDM) approach commonly used for decisions taking (Gregory and Keeney 1994, Conroy, Barker et al. 2008, Ogden and Innes 2009, Gregory 2012, Johnson, Eaton et al. 2015, Fatorić and Seekamp 2017). Overall, the modelling and farmer feedback showed that control of GIN needs to be farm specific, to suit the individual characteristics of both the farm but also the beliefs of the farmer. The extension of withdrawal periods combined with resistance issues in France have led to the adoption of TST by some farmers, but others are less convinced of its efficiency. The farmers in Scotland seem to have adopted multiple strategies such as use of arable land and mixed grazing to keep GIN levels from severely affecting their profits. However, the diversity of opinions and calls by the French farmers in particular for more trials, shows there is still further work to understand this problem and develop more effective, sustainable solutions

Simulating soil carbon sequestration from long term fertilizer and manure additions under continuous wheat using the DailyDayCent model

Bangabandhu Fellowship on Science and ICT project, Ministry of Science and Technology, People’s Republic of Bangladesh. Open Access via Springer Compact AgreementPeer reviewedPublisher PD

A Novel Business Model for Aggregating the Values of Electricity Storage

Electricity storage is considered a valuable source of flexibility whose applications cover the whole electricity value chain. However, most of the existing evaluation methods for electricity storage are conceived for only one specific use of the storage, which often leads to the conclusion that the investment on storage does not pay off. We think that the value of storage cannot be properly estimated without taking into account the possibility of aggregating the services that storage can offer to different actors. In this paper, we propose a new business model that allows aggregating multiple revenue streams of electricity storage in a systematic way. The main idea of the business model is to coordinate a series of auctions in which the right to utilize the storage unit is auctioned in different time horizons. The model consists of an optimization module and a coordination mechanism. The former simulates the optimal strategy of a certain actor using the available storage capacities in a certain auction, while the latter ensures non-conflicting uses of storage by actors in different auctions. The functioning of the model is demonstrated by a case study. The results show that a storage unit can achieve a higher return on investment in the manner proposed in the business model.electricity storage; business model; optimization

Flood risk mapping worldwide : a flexible methodology and toolbox

Flood risk assessments predict the potential consequences of flooding, leading to more effective risk management and strengthening resilience. However, adequate assessments rely on large quantities of high-quality input data. Developing regions lack reliable data or funds to acquire them. Therefore, this research has developed a flexible, low-cost methodology for mapping flood hazard, vulnerability and risk. A generic methodology was developed and customized for freely available data with global coverage, enabling risk assessment worldwide. The default workflow can be enriched with region-specific information when available. The practical application is assured by a modular toolbox developed on GDAL and PCRASTER. This toolbox was tested for the catchment of the river Moustiques, Haiti, for which several flood hazard maps were developed. Then, the toolbox was used to create social, economic and physical vulnerability maps. These were combined with the hazard maps to create the three corresponding flood risk maps. After creating these with the default data, more detailed information, gathered during field work, was added to verify the results of the basic workflow. These first tests of the developed toolbox show promising results. The toolbox allows policy makers in developing countries to perform reliable flood risk assessments and generate the necessary maps

Editorial: Coronavirus Disease (COVID-19): The Mental Health, Resilience, and Communication Resources for the Short- and Long-term Challenges Faced by Healthcare Workers

During the early phases of the COVID-19 pandemic, the world initially focused on measures to suppress COVID-19 transmission and protect their populations by developing vaccines and drug treatments for the most vulnerable and a host of social actions, including implementing social distancing, working from home, travel restrictions, lockdowns, and face coverings. Nearly 2 years after the initial outbreak, at the time of writing this editorial, and through research conducted as part of this Research Topic, it is clear that the mental health impacts of COVID-19 on healthcare workers (HCW) are significant. There is an urgent need to understand and address these impacts (Greenberg et al., 2020). This is particularly true given the World Health Organisation has outlined a series of mental health and psychosocial considerations aimed explicitly at HCWs (World Health Organisation, 2020). The present Research Topic on Coronavirus Disease (COVID-19) and HCWs has added to the scientific knowledge in several main areas, including barriers and enablers to healthcare delivery, understanding HCWs' mental health and well-being, resilience, coordination and communication within the workforce, and specific interventions to promote mental health and well-being

Editorial: Coronavirus Disease (COVID-19): The Mental Health, Resilience, and Communication Resources for the Short- and Long-term Challenges Faced by Healthcare Workers.

From Europe PMC via Jisc Publications RouterHistory: ppub 2022-01-01, epub 2022-04-18Publication status: Publishe