Estrategias de pesca y Aproximación Ecosistémica de Pesquerías en el Mediterráneo oriental

The sustainable use of aquatic living resources is the cornerstone of the ecosystem approach to fisheries management (EAF). Excess fishing effort leading to the degradation of fishery resources and significant economic waste is globally recognized by resource managers as a major problem for the implementation of the EAF and European’s Union Common Fisheries Policy (CFP). Knowledge of how fishers allocate their fishing effort in space and time is essential to understand how a fishery develops. Understanding fishing strategies is also vital for predicting how a fishery might respond to proposed management changes such as effort/area restrictions and introduction of a marine protected area, and for drawing up a management policy. Random utility models were used to examine the factors affecting fishers’ behaviour in the NE Mediterranean. The probability of selecting a specific fishing rectangle was estimated using monthly purse seine data. The predictive inputs concerned both subjective behavioural and objective seasonal and technical-economic characteristics. The present study provided direct evidence of the important role that the strategic decision-making behaviour of fishers could play in understanding the way the industry will respond to changes in resource availability, market conditions and management measures under the EAF principle.El uso sostenible de los recursos vivos acuáticos es la piedra angular del enfoque ecosistémico en la gestión de pesquerías (EAF). El exceso de esfuerzo pesquero, responsable de la degradación de los recursos pesqueros y pérdidas econocómicas significativas, es generalmente reconocido por los gestores pesqueros como el principal problema para la implementación del EAF y de la Política Pesquera Común Europea (PPC). El conocimiento de la forma en la que los pescadores localizan su esfuerzo pesquero en espacio y tiempo es esencial para comprender como se desarrolla una pesquería. Entender las estrategias pesqueras es vital también para predecir como una pesquería puede responder en función de cambios de gestión propuestos como restricciones esfuerzo/área, introducción de Áreas Marinas Protegidas (MPA) y en la aplicación de la política de gestión. Para examinar los factores que afectan el comportamiento de la elección de los pescadores del Mediterráneo oriental se han utilizado Modelos de Utilidad Aleatorios (RUMs). La probabilidad de seleccionar un rectángulo específico de pesca fue estimada utilizando datos mensuales de cerqueros. Los datos predictivos de entrada incluían ambos comportamientos, tanto subjetivos como objetivos, estacionales y características técnico-económicas. El presente estudio proporciona indicios claros de la importancia que puede tener la estrategia en la toma de decisiones de los pescadores en la forma en que la industria responderá a los cambios en la disponibilidad de los recursos, condiciones del mercado y medidas de gestión basadas en el principio del EAF

El boliche en Grecia: Perfiles de descargas e identificación de potenciales artes menores

Although boat seines have a significant share in the total fish landings in Greece, there is little information on boat seine fisheries. The present study aims to identify boat seine métiers on a national level and contribute to a better understanding of their operation in Greece. We used boat seine landings data collected from a large number of ports in the Aegean and east Ionian Sea between 2002 and 2006. The landings profiles were grouped with a two-step procedure: the first step involved a factorial analysis of the log-transformed landings profiles, and the second step was a classification of the factorial coordinates (hierarchical agglomerative clustering). Six métiers were identified in the Aegean Sea, and three in the Ionian Sea. The ‘picarel-bogue’ métier was the most important in both seas, accounting for 54% and 88% of the fishing trips of the sample in the Aegean and Ionian Seas respectively. Apart from picarel and bogue, other important target species were red mullet, European squid, common pandora, chub mackerel, and European pilchard. Varying spatial (within the Aegean and Ionian Seas) and seasonal patterns were evident for the identified métiers.Aunque la flota de boliche contribuya en una cantidad significativa en las descargas totales de pescado en Grecia, la información que trata de la pesca con boliche es escasa. El presente estudio pretende identificar el arte (métier) del boliche en un nivel nacional y contribuir a una mejor comprensión de su operación en Grecia. Se han utilizado los datos de las descargas de la pesca con boliche, recogidos entre 2002 y 2006 en un gran número de puertos en la costa del Mar Egeo y Mar Jónico oriental. Los perfiles de las descargas fueron agrupados siguiendo un procedimiento en dos etapas: el primer paso consistió en un análisis factorial de los perfiles de descargas transformados logarítmicamente, y el segundo paso en una clasificación de las coordenadas factoriales (agrupamiento aglomerativo jerárquico). Se identificaron seis artes menores en el Mar Egeo, y tres en el mar Jónico. El arte menor “caramel-boga” ha sido el principal en ambos mares, alcanzándose valores del 54% y del 88% respecto al número total de las jornadas de pesca muestreadas en el Mar Egeo y Mar Jónico respectivamente. Aparte de caramel y boga, otras especies objetivo de importancia fueron los salmonetes, el calamar, la breca, el estorino y la sardina. Los artes menores identificados han mostrado unos patrones espaciales (dentro de ambos Mar Egeo y Mar Ionio) y estacionales

Closed-Loop Scheduling for Cost Minimization in HVAC Central Plants

In this paper, we examine closed-loop operation of an HVAC central plant to demonstrate that closed-loop receding-horizon scheduling provides robustness to inaccurate forecasts, and that economic performance is not seriously impaired by shortened prediction horizons or inaccurate forecasts when feedback is employed. Using a general mixed-integer linear programming formulation for the scheduling problem, we show that optimization can be performed in real time. Furthermore, we demonstrate that closed-loop operation with a moderate prediction horizon is not significantly worse than a long-horizon implementation in the nominal case, and that closed-loop operation can correct for inaccurate long-term forecasts without significant cost increase. In addition, we show that terminal constraints can be employed to ensure recursive feasibility. The end result is that forecasts of demand need not be extremely accurate over long times, indicating that closed-loop scheduling can be implemented in new or existing central plants

Identifying four phytoplankton functional types from space: An ecological approach

Deriving maps of phytoplankton taxa based on remote sensing data using bio-optical properties of phytoplankton alone is challenging. A more holistic approach was developed using artificial neural networks, incorporating ecological and geographical knowledge together with ocean color, bio-optical characteristics, and remotely sensed physical parameters. Results show that the combined remote sensing approach could discriminate four major phytoplankton functional types (diatoms, dinoflagellates, coccolithophores, and silicoflagellates) with an accuracy of more than 70%. Models indicate that the most important information for phytoplankton functional type discrimination is spatio-temporal information and sea surface temperature. This approach can supply data for large-scale maps of predicted phytoplankton functional types, and an example is shown

A Case Study of Economic Optimization of HVAC Systems based on the Stanford University Campus Airside and Waterside Systems

Commercial buildings account for $200 billion per year in energy expenditures, with heating, ventilation, and air conditioning (HVAC) systems accounting for most of these costs. In energy markets with time-varying prices and peak demand charges, a significant potential for cost savings is provided by using thermal energy storage to shift energy loads. Since most implementations of HVAC control systems do not optimize energy costs, they have become a primary focus for new strategies aimed at economic optimization. Model predictive control (MPC) has emerged as one popular method to achieve this load shifting, while respecting system constraints. MPC uses a model of the system to make predictions and to solve an optimization problem. Much research has shown the benefits of MPC over alternative strategies for HVAC control [1]. However, some industrial applications, such as large research centers or university campuses, are too large to be solved in a single MPC instance. Decompositions have been proposed in the literature, but it is difficult to evaluate and to compare decompositions against one another when using different systems. In this paper, we present a large-scale relevant case study where solving a single MPC optimization problem is neither desirable nor feasible for real-time implementations. The study is modeled after the Stanford University campus, consisting of both an airside and waterside system [2]. The airside system includes 500 zones spread throughout 25 campus buildings along with the air handler units and regulatory building automation system used for temperature regulation. The waterside system includes the central plant equipment, such as chillers, that is used to meet the load from the buildings. Active thermal energy storage is available to the campus in addition to the passive thermal energy storage present in the form of building mass. The airside models describe the temperature dynamics in each of the 500 zones, and the waterside models describe the power consumption of the central plant equipment. The aim of the control system is to minimize costs in the presence of time-varying electricity prices and a peak demand charge as well as environmental disturbances such as weather while meeting constraints on comfort and equipment. We perform an economic optimization of the entire campus using a hierarchical system with distributed airside controllers to demonstrate the potential savings. The models from this case study are made publicly available for other researchers interested in designing alternative control strategies for managing chilled water production to meet airside loads. The aim of the case study release is to provide a standardized problem for the research community. A benchmark is provided for evaluating performance. References [1] A. Afram and F. Janabi-Sharifi. Theory and applications of HVAC control systems—A review of model predictive control (MPC). Building and Environment, 72:343–355, February 2014. [2] J. B. Rawlings, N. R. Patel, M. J. Risbeck, C. T. Maravelias, M. J. Wenzel, and R. D. Turney. Economic MPC and real-time decision making with application to large-scale HVAC energy systems. Computers & Chemical Engineering, 2017. In Press

Editorial: Challenges and Opportunities for the EU Common Fisheries Policy Application in the Mediterranean and Black Sea

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Habitat Selection and Temporal Abundance Fluctuations of Demersal Cartilaginous Species in the Aegean Sea (Eastern Mediterranean)

Predicting the occurrence of keystone top predators in a multispecies marine environment, such as the Mediterranean Sea, can be of considerable value to the long-term sustainable development of the fishing industry and to the protection of biodiversity. We analysed fisheries independent scientific bottom trawl survey data of two of the most abundant cartilaginous fish species (Scyliorhinus canicula, Raja clavata) in the Aegean Sea covering an 11-year sampling period. The current findings revealed a declining trend in R. clavata and S. canicula abundance from the late ′90 s until 2004. Habitats with the higher probability of finding cartilaginous fish present were those located in intermediate waters (depth: 200–400 m). The present results also indicated a preferential species' clustering in specific geographic and bathymetric regions of the Aegean Sea. Depth appeared to be one of the key determining factors for the selection of habitats for all species examined. With cartilaginous fish species being among the more biologically sensitive fish species taken in European marine fisheries, our findings, which are based on a standardized scientific survey, can contribute to the rational exploitation and management of their stocks by providing important information on temporal abundance trends and habitat preferences

Large-Scale Bi-Level Strain Design Approaches and Mixed-Integer Programming Solution Techniques

The use of computational models in metabolic engineering has been increasing as more genome-scale metabolic models and computational approaches become available. Various computational approaches have been developed to predict how genetic perturbations affect metabolic behavior at a systems level, and have been successfully used to engineer microbial strains with improved primary or secondary metabolite production. However, identification of metabolic engineering strategies involving a large number of perturbations is currently limited by computational resources due to the size of genome-scale models and the combinatorial nature of the problem. In this study, we present (i) two new bi-level strain design approaches using mixed-integer programming (MIP), and (ii) general solution techniques that improve the performance of MIP-based bi-level approaches. The first approach (SimOptStrain) simultaneously considers gene deletion and non-native reaction addition, while the second approach (BiMOMA) uses minimization of metabolic adjustment to predict knockout behavior in a MIP-based bi-level problem for the first time. Our general MIP solution techniques significantly reduced the CPU times needed to find optimal strategies when applied to an existing strain design approach (OptORF) (e.g., from ∼10 days to ∼5 minutes for metabolic engineering strategies with 4 gene deletions), and identified strategies for producing compounds where previous studies could not (e.g., malate and serine). Additionally, we found novel strategies using SimOptStrain with higher predicted production levels (for succinate and glycerol) than could have been found using an existing approach that considers network additions and deletions in sequential steps rather than simultaneously. Finally, using BiMOMA we found novel strategies involving large numbers of modifications (for pyruvate and glutamate), which sequential search and genetic algorithms were unable to find. The approaches and solution techniques developed here will facilitate the strain design process and extend the scope of its application to metabolic engineering

Estimating Trends of Population Decline in Long-Lived Marine Species in the Mediterranean Sea Based on Fishers' Perceptions

We conducted interviews of a representative sample of 106 retired fishers in Italy, Spain and Greece, asking specific questions about the trends they perceived in dolphin and shark abundances between 1940 and 1999 (in three 20 year periods) compared to the present abundance. The large marine fauna studied were not target species of the commercial fleet segment interviewed (trawl fishery). The fishers were asked to rank the perceived abundance in each period into qualitative ordinal classes based on two indicators: frequency of sightings and frequency of catches (incidental or intentional) of each taxonomic group. The statistical analysis of the survey results showed that both incidental catches and the sighting frequency of dolphins have decreased significantly over the 60+ years of the study period (except for in Greece due to the recent population increase). This shows that fishers' perceptions are in agreement with the declining population trends detected by scientists. Shark catches were also perceived to have diminished since the early 1940s for all species. Other long-lived Mediterranean marine fauna (monk seals, whales) were at very low levels in the second half of the 20th century and no quantitative data could be obtained. Our study supports the results obtained in the Mediterranean and other seas that show the rapid disappearance (over a few decades) of marine fauna. We show that appropriately designed questionnaires help provide a picture of animal abundance in the past through the valuable perceptions of fishers. This information can be used to complement scientific sources or in some cases be taken as the only information source for establishing population trends in the abundance of sensitive species