Network of Leading European AQUAtic MesoCOSM Facilities Connecting Mountains to Oceans from the Arctic to the Mediterranean (AQUACOSM)

Experimentation in mesocosms is arguably the single most powerful approach to obtain a mechanistic quantitative understanding of ecosystem-level impacts of stressors in complex systems, especially when embedded in long-term observations, theoretical models and experiments conducted at other scales. AQUACOSM builds on an established European network of mesocosm research infrastructures (RI), the FP7 Infra project MESOAQUA (2009-2012), where 167 users successfully conducted 74 projects. AQUACOSM greatly enhances that network on pelagic marine systems in at least 3 ways: first by expanding it to 10 freshwater (rivers and lakes), 2 brackish and 2 benthic marine facilities, and by involving 2 SMEs and reaching out to more, thereby granting effective transnational access to world-leading mesocosm facilities to >340 users on >11500 days; second, by integrating scattered know-how between freshwater and marine RI; and third, by uniting aquatic mesocosm science in an open network beyond the core consortium, with industry involved in an ambitious innovation process, to promote ground-breaking developments in mesocosm technology, instrumentation and data processing. A new dimension of experimental ecosystem science will be reached by coordinated mesocosm experiments along transects from the Mediterranean to the Arctic and beyond salinity boundaries. These efforts will culminate in a joint research activity (JRA) to assess aquatic ecosystem responses across multiple environmental gradients to a selected climate-related key stressor with repercussions for ecosystem services. Overall, AQUACOSM will fill a global void by forging an integrated freshwater and marine research infrastructure network. Long-term sustainability is sought through assessing governance models based on science priorities and economic innovation opportunities. Linkages to and synergies with ESFRI RI and other large initiatives are ensured by AQUACOSM partners and Advisory Board members in those programs.


A New Mathematical Approach in Environmental and Life Sciences: Gene-Environment Networks and Their Dynamics
Weber, Gerhard Wilhelm; Alparslan-Gok, S. Z.; Soyler, B. (Springer Science and Business Media LLC, 2009-04-01)
An important research area in life sciences is devoted to modeling, prediction, and dynamics of gene-expression patterns. As clearly understood in these days, this enterprise cannot become satisfactory without acknowledging the role of the environment. To a representation of past, present, and most likely future states, we also encounter measurement errors and uncertainties. This paper surveys and improves recent advances in understanding the foundations and interdisciplinary implications of the newly intro...
Computational representation of protein sequences for homology detection and classification
Oğul, Hasan; Mumcuoğlu, Ünal Erkan; Department of Information Systems (2006)
Machine learning techniques have been widely used for classification problems in computational biology. They require that the input must be a collection of fixedlength feature vectors. Since proteins are of varying lengths, there is a need for a means of representing protein sequences by a fixed-number of features. This thesis introduces three novel methods for this purpose: n-peptide compositions with reduced alphabets, pairwise similarity scores by maximal unique matches, and pairwise similarity scores by...
Numerical simulation of solidification kinetics in A356/SiCp composites for assessment of as-cast particle distribution
CETIN, Arda; Kalkanlı, Ali (Elsevier BV, 2009-06-01)
The present work is aimed at studying the effect of solidification rate on reinforcement clustering in particle reinforced metal matrix composites (PMMCs) through numerical simulations and experimental studies. A macrotransport-solidification kinetics (MTSK) model was used to simulate the solidification kinetics of the PMMCs. The experimental validation of the numerical model was achieved through the Newtonian and Fourier thermal analysis methods. Results reveal that the MTSK model can be successfully used ...
Cyclic Large Strain and Induced Pore Pressure Models for Saturated Clean Sands
Çetin, Kemal Önder (American Society of Civil Engineers (ASCE), 2012-03-01)
Semiempirical probabilistic models are described to assess cyclic large strain and induced excess pore-water pressure responses of fully saturated clean sands. For this purpose, available cyclic simple shear and triaxial tests were compiled and studied. The resulting r(u) versus gamma, and gamma versus N databases are composed of 101 and 84 cyclic test data, respectively. Key parameters of the proposed r(u) and gamma models are defined as critical shear strain, relative density, effective confining stress, ...
Adoption and utilization of information systems in an emerging Turkish industrial rown : a case study on Gaziantep
Salihoğlu, Yasemin; Bilgen, Semih; Department of Information Systems (2003)
This thesis analyzes factors motivating and inhibiting the adoption of information systems in enterprises in Gaziantep by a scale generated on Rogers̕ theory of diffusion of innovation. These factors are grouped into four as administrative, technological, environmental, and organizational characteristics in the scale built. Structured interview method was used while collecting the data. It was interviewed with 20 firms, operating in various sectors in Gaziantep. Results of the study showed that, within the ...
Citation Formats
M. Beklioğlu, “Network of Leading European AQUAtic MesoCOSM Facilities Connecting Mountains to Oceans from the Arctic to the Mediterranean (AQUACOSM),” 2021. Accessed: 00, 2020. [Online]. Available: