Marine protected areas (MPAs) are implemented worldwide as an efficient tool to preserve biodiversity and protect ecosystems. We used food web models (Ecopath and EcoTroph) to assess the ability of MPAs to reduce fishing impacts on targeted resources and to provide biomass exports for adjacent fisheries. Three coastal MPAs: Bonifacio and Port-Cros (Mediterranean Sea), and Bamboung (Senegalese coast), were used as case studies. Pre-existing related Ecopath models were homogenized and ecosystem characteristics were compared based on network indices and trophic spectra analyses. Using the EcoTroph model, we simulated different fishing mortality scenarios and assessed fishing impacts on the three ecosystems. Lastly, the potential biomass that could be exported from each MPA was estimated. Despite structural and functional trophic differences, the three MPAs showed similar patterns of resistance to simulated fishing mortalities, with the Bonifacio case study exhibiting the highest potential catches and a slightly inferior resistance to fishing. We also show that the potential exports from our small size MPAs are limited and thus may only benefit local fishing activities. Based on simulations, their potential exports were estimated to be at the same order of magnitude as the amount of catch that could have been obtained inside the reserve. In Port Cros, the ban of fishing inside MPA could actually allow for improved catch yields outside the MPA due to biomass exports. This was not the case for the Bonifacio site, as its potential exports were too low to offset catch losses. This insight suggests the need for MPA networks and/or sufficiently large MPAs to effectively protect juveniles and adults and provide important exports. Finally, we discuss the effects of MPAs on fisheries that were not considered in food web models, and conclude by suggesting possible improvements in the analysis of MPA efficiency.
Protection of natural environments sought through management plans varies greatly between countries; characterizing these differences and what motivates them can inform future regional and international conservation efforts. This research builds on previous work addressing the spatial distribution of marine protected areas in the Mediterranean Sea. Particularly, it examines the relationship between a “protection level” (PL) score and a set of variables pertaining to each country's conservation efforts, economic conditions, and human impact along the coast using regression analysis. Four sets of models demonstrated country characteristics that correlate with higher protection levels within marine protected areas (MPAs). Certain contextual factors - economic dependence on the marine environment, efforts at terrestrial conservation and greater human impact - were found to be significantly associated with higher PLs among the northern littoral countries of the Mediterranean. Such findings can inform policy makers about where efforts and investments should be directed for marine conservation.
Estimating the value of entire ecosystems in monetary units is difficult because they are complex systems composed of non-linear, interdependent components and the value of the services they produce are interdependent and overlapping. Using the Great Barrier Reef (GBR) as a case study, this paper explores a new ‘whole ecosystem’ approach to assessing both the importance (to overall quality of life) and the monetary value of various community-defined benefits, some of which align with various ecosystem services. We find that provisioning services are considered, by residents, to be less important to their overall quality of life than other ecosystem services. But our analysis suggests that many community-defined benefits are overlapping. Using statistical techniques to identify and control for these overlapping benefits, we estimate that the collective monetary value of a broad range of services provided by the GBR is likely to be between $15 billion and $20 billion AUS per annum. We acknowledge the limitations of our methods and estimates but show how they highlight the importance of the problem, and open up promising avenues for further research. With further refinement and development, radically different ‘whole ecosystem’ valuation approaches like these may eventually become viable alternatives to the more common additive approaches.
We determine the effects of various management restrictions on adoption rates of marine Payments for Environmental Services (PES) schemes. Choice experiments are used in order to determine how fisher participation rates change under different marine PES programme designs. Various designs, with differing restriction rates, show different rates of adoption. However, fishers show a high utility loss associated with any move away from the current management situation, irrespective of restriction levels. This indicates that PES scheme costs may be high and creating an enabling environment could be important to reducing perceived losses, as could investment into conditional in-kind compensation mechanisms. The paper also shows choice experiments to be a useful tool in marine PES design.
Despite the potential of local knowledge (LK) to provide reliable, quick, and low cost data, its use has been limited due to the lack of understanding of the accuracy and biases. We compared fishers’ spatial LK data and fishery independent data from vessel monitoring systems (VMS) to analyse the concurrence between fisher derived and independently derived information. We examined the effect of sample size and scale on the match, to indicate the most appropriate approaches for future studies. Whilst LK provided a reasonable estimate of fishing extent, the estimated intensity of fishing was less well correlated with the VMS data. The agreement between LK and VMS data was significantly affected by the sample size from which LK knowledge was derived. There can be considerable variation in the accuracy of individual LK samples, therefore the sample size must be maximised to buffer for unreliable LK samples. A finer grid provided a more accurate representation of fishing extent; however, fishing intensity was more accurate when a coarser grid resolution was used. The use of a larger grid could also buffer some of the inaccuracy of a small sample size when determining intensity. Local knowledge can provide data of a similar accuracy to conventional scientific data, which is of particular use in data poor situations, e.g. in developing countries and for inshore fisheries that have no current mandatory VMS recording systems. However, the proportion of the community sampled should be maximised to minimise inaccuracy between individual fishers.
Marine Protected Areas (MPAs) have been established over the world to protect marine resources from over-exploitation. Weh Island, Sabang, Indonesia, has two MPAs: Weh Island Marine Recreational Park (WMRP) and Weh Island Marine Protected Area (WMPA). The WMRP was established by the Government of Indonesia in 1982 and is managed by the Natural Resources Conservation Agency in the Ministry of Forestry. The other, WMPA, was established in 2010 and is managed by the Government of Sabang׳s Marine Affairs and Fisheries Agency. First, this study reviews the regulations of the two MPAs. There are 17 regulations related to the management of the two MPAs. WMRP is governed centrally based on Law No. 32, and the WMPA has shifted to a bottom-up system based on Fisheries Law No. 31. In addition, the customary management system called Panglima Laot, which literally translates to “Sea Commander” functions for local residents. Second, 185 questionnaires were completed by government offices, non-governmental organizations, fishermen, and marine tourism operators from January to September 2013. The survey showed all respondents support the development of MPAs. More respondents in the WMPA are familiar with the MPA and received benefits from MPAs. Fishermen of the WMRP considered their participation to be low and have lower trust in the government. The participants in the WMRP considered that “support of all stakeholders׳ awareness of the marine environment” is most important. On the other hand, “improved understanding of benefits from MPAs” was an influential factor in the WMPA. To further strengthen the management of MPAs, the stakeholders should work together to apply a bottom-up management system, clarify the zoning, set educational programs to inform public perceptions, ensure enforcement capacity, conduct scientific research on the resource, and develop a network of MPAs in the long term.
This paper presents the Biogeographic Assessment Framework (BAF), a decision support process for marine spatial planning (MSP), developed through two decades of close collaborations between scientists and marine managers. Spatial planning is a considerable challenge for marine stewardship agencies because of the need to synthesize information on complex socio-ecological patterns across geographically broad spatial scales. This challenge is compounded by relatively short time-frames for implementation and limited financial and technological resources. To address this pragmatically, BAF provides a rapid, flexible and multi-disciplinary approach to integrate geospatial information into formats and visualization tools readily useable for spatial planning. Central to BAF is four sequential components: (1) Planning; (2) Data Evaluation; (3) Ecosystem Characterization; and (4) Management Applications. The framework has been applied to support the development of several marine spatial plans in the United States and Territories. This paper describes the structure of the BAF framework and the associated analytical techniques. Two management applications are provided to demonstrate the utility of BAF in supporting decision making in MSP.
The Connecticut shoreline is one of the most intensively developed in the country. In many locations, development has relied on the buffering capacity of broad beaches for protection against storms. Much of this development is at risk due to an insufficient understanding of regional beach dynamics. The coast is commonly regarded as “protected” by the presence of Long Island. Nonetheless, Irene and Sandy imposed significant property losses on coastal cities. The most severe damages were due to wave impact in areas with narrow beaches. Small differences (as little as 21 m) in beach width proved to be significant during these storms. Sheltering by Long Island does not prevent coastal erosion during local storms. In the long run, it does prevent the rebuilding of the beach during fair weather by limiting the energy available for shoreward transport. This dynamic makes the beaches naturally erosive and their buffering capacity transient at best.
Recent evolutions in computing science and web technology provide the environmental community with continuously expanding resources for data collection and analysis that pose unprecedented challenges to the design of analysis methods, workflows, and interaction with data sets. In the light of the recent UK Research Council funded Environmental Virtual Observatory pilot project, this paper gives an overview of currently available implementations related to web-based technologies for processing large and heterogeneous datasets and discuss their relevance within the context of environmental data processing, simulation and prediction. We found that, the processing of the simple datasets used in the pilot proved to be relatively straightforward using a combination of R, RPy2, PyWPS and PostgreSQL. However, the use of NoSQL databases and more versatile frameworks such as OGC standard based implementations may provide a wider and more flexible set of features that particularly facilitate working with larger volumes and more heterogeneous data sources.
Cooperation between the social and natural sciences has become essential in order to encompass all the dimensions of coastal zone management. Socio-economic approaches are increasingly recommended to complement integrated assessment in support of these initiatives. A systematic review of the academic literature was carried out in order to analyze the main types of socio-economic assessments used to inform the coastal zone management process as well as their effectiveness. A corpus of 1682 articles published between 1992 and 2011 was identified by means of the representative coverage approach, from which 170 were selected by applying inclusion/exclusion criteria and then classified using a content analysis methodology. The percentage of articles that mention the use of socio-economic assessment in support of coastal zone management initiatives is increasing but remains relatively low. The review examines the links between the issues addressed by integrated assessments and the chosen analytical frameworks as well as the various economic assessment methods which are used in the successive steps of the coastal zone management process. The results show that i) analytical frameworks such as ‘risk and vulnerability’, ‘DPSIR’, ‘valuation’, ‘ecosystem services’ and ‘preferences’ are likely to lead to effective integration of social sciences in coastal zone management research while ‘integration’, ‘sustainability’ and ‘participation’ remain difficult to operationalize, ii) risk assessments are insufficiently implemented in developing countries, and iii) indicator systems in support of multi-criteria analyses could be used during more stages of the coastal zone management process. Finally, it is suggested that improved collaboration between science and management would require that scientists currently involved in coastal zone management processes further educate themselves in integrated assessment approaches and participatory methodologies.