The value of community-based monitoring in marine protected areas

There is an increasing realisation of the importance of community or volunteer collected data for management programs that are otherwise limited by the availability of funds or resources. However, there are concerns regarding the reliability of scientific data collected by inexperienced people. We investigated the potential for community-based monitoring in Victoria’s newly established system of Marine Protected Areas. The main objectives for the study were to 1) develop a template for the scientific monitoring of marine habitats suitable for community groups, 2) assess data quality and data integrity collected by community volunteers and 3) determine a sustainable model for ongoing community participation in monitoring marine habitats. Three different habitats (subtidal, intertidal, and seagrass) were investigated and data collected by volunteers across these habitats was compared to that collected by scientists. Reliability of data collected by volunteers was dependent on habitat type and the type of measurement the volunteers were required to make. Qualitative estimates made by volunteers were highly variable across all three habitat sites, compared to quantitative data collection. Subtidal monitoring had the greatest inaccuracy for data collection, whereas intertidal reef monitoring was most reliable. Sustainability of community-based monitoring programs is dependent on adequate training for volunteers and the development of partnerships to foster greater community engagement.

Using community-based monitoring with GIS to create habitat maps for a marine protected area in Australia

In recent years there has been an increase in community-based monitoring programmes developed and implemented worldwide. This paper describes how the data collected from such a programme could be integrated into a Geographic Information System (GIS) to create temperate subtidal marine habitat maps. A differential Global Positioning System was utilized to accurately record the location of the trained community-based SCUBA diver data. These georeferenced data sets were then used to classify benthic habitats using an aerial photograph and digitizing techniques. This study demonstrated that trained community-based volunteers can collect data that can be utilized within a GIS to create reliable and cost-effective maps of shallow temperate subtidal rocky reef systems.

Negative beliefs about low back pain are associated with high pain intensity and high level disability in community-based women

Background Although previous studies have investigated beliefs about back pain in clinical and employed populations, there is a paucity of data examining the beliefs of the broader community. We aimed to characterize the beliefs that community-dwelling women have about back pain and its consequences, and to determine whether those with varying levels of pain intensity and disability differ in their beliefs. Methods 542 community-dwelling women, aged 24 to 80 years, were recruited from a research database. Participants completed a self-administered questionnaire that included detailed demographic information, the Chronic Pain Grade Questionnaire (CPG) and the Back Beliefs Questionnaire (BBQ). The CPG examined individuals' levels of pain intensity and disability, and the BBQ investigated their beliefs about back pain and its consequences. Results 506 (93.4%) women returned the study questionnaire. The mean (SD) BBQ score for the cohort was 30.7 (6.0), indicating generally positive beliefs about back pain. However, those women with high intensity pain and high level disability had a mean (SD) score of 28.5 (5.7) and 24.8 (5.7) respectively, which reflects greater negativity about back pain and its consequences. There was an association between negative beliefs and high pain intensity (OR = 0.94 (95% CI: 0.90, 0.99), p = 0.01) and high level disability (OR = 0.93 (95% CI: 0.89, 0.97), p = 0.001), after adjusting for confounders. Conclusion This study highlights that although women living in the community were generally positive about back pain, subgroups of women with high pain intensity and high level disability were identified who had more pessimistic views. While a causal relationship cannot be inferred from these cross-sectional data, the results suggest that negative beliefs individuals have about back pain may be predictive of chronic, disabling spinal pain.