MPA network design based on graph network theory and emergent properties of larval dispersal

Despite the recognised effectiveness of networks of Marine Protected Areas (MPAs) as a biodiversity conservation instrument, nowadays MPA network design frequently disregards the importance of connectivity patterns. In the case of sedentary marine populations, connectivity stems not only from the stochastic nature of the physical environment that affects early-life stages dispersal, but also from the spawning stock attributes that affect the reproductive output (e.g., passive eggs and larvae) and its survivorship. Early-life stages are virtually impossible to track in the ocean. Therefore, numerical ocean current simulations coupled to egg and larval Lagrangian transport models remain the most common approach for the assessment of marine larval connectivity. Inferred larval connectivity may be different depending on the type of connectivity considered; consequently, the prioritisation of sites for marine populations' conservation might also differ. Here, we introduce a framework for evaluating and designing MPA networks based on the identification of connectivity hotspots using graph theoretic analysis. We use as a case of study a network of open-access areas and MPAs, off Mallorca Island (Spain), and test its effectiveness for the protection of the painted comber Serranus scriba. Outputs from network analysis are used to: (1) identify critical areas for improving overall larval connectivity; (2) assess the impact of species' biological parameters in network connectivity; and (3) explore alternative MPA configurations to improve average network connectivity. Results demonstrate the potential of graph theory to identify non-trivial egg/larval dispersal patterns and emerging collective properties of the MPA network which are relevant for increasing protection efficiency.Comment: 8 figures, 3 tables, 1 Supplementary material (including 4 table; 3 figures and supplementary methods

Exploring Engagement Characteristics and Behaviours of Environmental Volunteers

Environmental volunteering and environmental citizen science projects both have a pivotal role in civic participation. However, one of the common challenges is recruiting and retaining an adequate level of participant engagement to ensure the sustainability of these projects. Thus, understanding patterns of participation is fundamental to both types of projects. This study uses and builds on existing quantitative approaches used to characterise the nature of volunteer engagement in online citizen science projects, to see whether similar participatory patterns exist in offline environmental volunteering projects. The study uses activity records of environmental volunteers from a UK environmental charity “The Conservation Volunteers,” and focuses on three characteristics linked to engagement: longevity, frequency, and distance travelled. Findings show differences in engagement patterns and contributor activity between the three UK regions of Greater London, Greater Manchester, and Yorkshire. Cluster analysis revealed three main types of volunteer engagement profiles which are similar in scale across all regions, namely participants can be grouped into “One-Session,” “Short-Term,” and “Long-Term” volunteer. Of these, the “One-Session” volunteer accounted for the largest group of volunteers

Workforce Development in the South West Voluntary and Community Sectors:Skill Shortages Study

The Voluntary Sector National Training Organisation, now the National  Workforce Development Hub, describes the Voluntary and Community  Sector  as  diverse  and  covering  a  variety  of  different  organisations.  Organisations range from traditional charities, to companies that trade to  support their social aims, through to informal community organisations.  The sector also includes federations, or networks of local groups working  under national umbrellas.  Voluntary and community sector organisations  provide  a  wide  range  of  services  and  activities  and  many  of  the  organisations are involved in the delivery of learning, whether through  accredited training or informal learning.  The Government has increasingly recognised the importance of Voluntary  and  community  sector  organisations  and  the  key  role  that  they  play  nationally,  regionally  and  locally.    Initiatives  to  support  the  sector,  underpinned by funding, have been undertaken and the Government has  been  active  in  encouraging  and  commissioning  research  and  strategic  planning  in  the  sector,  in  particular  emphasising  the  importance  of  developing the skills, capacities and potential of the workforce.  Sector organisations generally display a strong commitment to training  and workforce development.  However, in spite of this commitment and  the presence of a high proportion of well‐qualified workers, skills gaps,  that is skills lacking in the current workforce, and skills shortages caused  by recruitment difficulties, are present in the sector.  There are also skills  gaps and shortages in the volunteer workforce

The impact of product designations on innovation : the case of breweries in the United Kingdom

The European Union has a number of interventions which are designed to encourage diverse agricultural production, to protect product names from misuse and imitation, and to help consumers by giving them information concerning the specific character of the products. The three schemes, collectively known as Protected Geographical Status (PGS) are Protected Designation of Origin (PDO), Protected Geographical Indication (PGI), and Traditional Speciality Guaranteed (TSG). [...] However, there has been limited analysis as to the possible impact of such interventions on the ability of enterprises to enhance their competitiveness through investment in innovation. The aim of the present work is to gain a better understanding of the impact of such policies on the types and levels of innovative activity in firms using PGS schemes

Employee turnover prediction and retention policies design: a case study

This paper illustrates the similarities between the problems of customer churn and employee turnover. An example of employee turnover prediction model leveraging classical machine learning techniques is developed. Model outputs are then discussed to design \& test employee retention policies. This type of retention discussion is, to our knowledge, innovative and constitutes the main value of this paper