This paper discusses the future of the Marine Stewardship Council (MSC), a market-based certification program, in developing countries and exposes the challenges and opportunities for fish producers. The MSC needs to attract the interest of more fishing enterprises from these regions to increase its global presence. Because most fisheries in developing countries cannot meet the MSC standards, or afford the certification process costs, it is suggested that there is a need for developing different levels within the MSC system and additional third-party assessing organizations. MSC certification may mean adoption of improvements in fisheries management and approving fishing regimes in developing countries. However, post-certification benefits may decrease as more fisheries become certified.

To investigate economies of scale, we use the
Cobb-Douglas production function, while we examine the structure of the fish-farming by computing the HHI
indicator over different years. We find that the market concentration level is high in Greece in both relative, to
Norway, and in absolute terms. From the other part, Norway, the leader of the fish farming of Atlantic salmon
and Rainbow trout globally, suffers from economies of scale in the examined period. Given the fact that both
Greek and Norwegian production is targeting large markets in Europe (UK, France, Italy) both the findings in
Greece and Norway may be worrying signals, that large M&A activity may lead to decreasing competition
and increasing returns to scale in the industry, as previously happened in the food retail industry. Given the
important contribution of fish farming to poverty alleviation, food security and social well being, European
regulators should investigate whether it is optimal to exercise policies that enhance technology transfer and
limit further market concentration.

"Networks are mathematically directed (in practical applications also undirected) graphs and a graph is a one-dimensional abstract complex, i.e., a topological space. Network theory focuses on various topological structures and properties, dynamic properties, and functionality-topology relationship, etc. There are some common mathematical foundations, theories and methodology for network analysis, in which graph theory, statistics, and operational research, etc., are the fundamental sciences of network analysis. Various emerging biological networks, at both micro- and macro- levels, will provide numerous sources for the development of general network theory and methodology and also facilitate the development of theory and methodology of biological networks.

Biological network analysis is a fast moving science. Many core scientific issues, for example, ecological structure, co-evolution, co-extinction and biodiversity conservation in ecology, and cancer development and metabolic regulation in health science, etc., are expected to be addressed by network approaches and network analysis. Network analysis is becoming the core methodology to treat complex biological systems. As the fast development of this area, more and more papers on biological networks are published.

At present explosive numbers of quality papers on biological networks are being published each year. The initiation of the journal, Network Biology, will provide a public and unified platform for the publication of these studies. From this integrated and unique journal, researchers, university teachers and students will thoroughly have an in-depth and complete insight on knowledge, methodology and recent advances of biological networks.

In the view of system dynamics, biological networks are always self-organized systems with emergent, autonomous and adaptive properties. Their dynamics can be represented by agent-based modeling, individual-based modeling and some other methodologies like neural network modeling. Therefore, agent-based modeling, individual-based modeling, self-organization of biological systems, and neural network modeling, etc., fall into the aims and scope of the journal, Network Biology.

The NETWORK BIOLOGY (ISSN 2220-8879) is an open access, peer-reviewed online journal that considers scientific articles in all different areas of network biology. It is the transactions of the International Society of Network Biology.It dedicates to the latest advances in network biology. The goal of this journal is to keep a record of the state-of-the-art research and promote the research work in these fast moving areas. The topics to be covered by Network Biology include, but are not limited to:

•Theories, algorithms and programs of network analysis
•Innovations and applications of biological networks
•Dynamics, optimization and control of biological networks
•Ecological networks, food webs and natural equilibrium
•Co-evolution, co-extinction, biodiversity conservation
•Metabolic networks, protein-protein interaction networks, biochemical reaction networks, gene networks, transcriptional regulatory networks, cell cycle networks, phylogenetic networks, network motifs
•Physiological networks
•Network regulation of metabolic processes, human diseases and ecological systems
•Social networks, epidemiological networks
•System complexity, self-organized systems, emergence of biological systems, agent-based modeling, individual-based modeling, neural network modeling, and other network-based modeling, etc.
We are also interested in short communications that clearly address a specific issue or completely present a new ecological network, food web, or metabolic or gene network, etc.

Authors can submit their works to the email box of this journal, networkbiology@iaees.org. All manuscripts submitted to this journal must be previously unpublished and may not be considered for publication elsewhere at any time during review period of this journal. Authors are asked to read Author Guidelines before submitting manuscripts.

In addition to free submissions from authors around the world, special issues are also accepted. The organizer of a special issue can collect submissions (yielded from a research project, a research group, etc.) on a specific research topic, or submissions of a scientific conference for publication of special issue.

Network Biology 
ISSN 2220-8879
URL: http://www.iaees.org/publications/journals/nb/online-version.asp
RSS feed: http://www.iaees.org/publications/journals/nb/rss.xml
E-mail: networkbiology@iaees.org
Editor-in-Chief: WenJun Zhang"

This study characterizes precipitation and temperature variability for the whole region of Gilgit-Baltistan (GB),
covering winter dominated high mountain region. Trend analyses of the historical data for the period 1955-2010
show that winter season temperatures have increased in this region during the past 55 years. Relatively higher
increase in maximum winter temperatures was observed, whereas minimum temperatures during winter showed a slight decline which is negligible. These results suggest that days have become warmer whereas nights have become cooler during the winter season in the high mountain areas. Monsoon temperatures have also decreased in this region. More interestingly, average temperatures in the transitional periods “October- November” and “April-May” are at a rising trend. The results indicate that the maximum temperatures have
increased all around the year last 55 years. Precipitation has also increased in GB. The paper included an annual and seasonal analysis for the periods 1955-2000 & 2001-2010 to compare variability in climate parameters in previous century (available data) to the recent decade of 21st century. This showed that recent decade is 0.33oC warmer than that of previous half century, and precipitation trend is much greater, i.e. 5.013mm per year than that of previous rate 1.045mm per year. However, these rising temperature trends may increase the melting of glaciers and snow, reduce snow accumulation during winter and enhance the overall de-glaciations process and therefore could well endanger the country’s sustained sources of fresh water from glaciers and snow melting.

There is increasing recognition of the significance of how traditional knowledges (TKs) can inform our understanding of the impacts of climate change and strategies for adaptation and mitigation. And yet there are potential risks to indigenous peoples in sharing TKs in federal and other non-indigenous climate change initiatives. We intend the term indigenous peoples to designate the diverse populations in the U.S. who could interact with federal and non-indigenous climate change initiatives in ways that involve TKs, whether in the U.S. they are federally-recognized, state-recognized, or unrecognized. We refer to “indigenous peoples” and “tribes” interchangeably in this document, unless we are talking about a specific group or a specific status related to recognition. These guidelines are intended to examine the significance of TKs in relation to climate change and the potential risks to indigenous peoples in the U.S. for sharing TKs in federal and other non-indigenous climate change initiatives. Although it is common to refer to "traditional knowledge(s)" as individual pieces of information, this term also refers to traditional “knowledge systems" that are deeply embedded in indigenous ways of life. These guidelines use the phrase "traditional knowledges" deliberately in plural form because knowledges are emergent from the symbiotic relationship of indigenous peoples and places - a nature-culture nexus. Tribes and indigenous peoples use “knowledges” to emphasize that there are diverse forms of traditional knowledge and knowledge systems that must be recognized as unique to each tribe and knowledge holder. These guidelines should be used to inform the development of specific protocols in direct and close consultation with indigenous peoples. [http://climatetkw.wordpress.com/] Federal agencies and national climate change initiatives are recognizing the significance of TKs, and are proposing and funding collaborative efforts between indigenous communities and federal and non-indigenous climate change entities in ways that involve TKs. This interaction requires an understanding of how individual tribes and knowledge holders choose to share or not to share TKs.

No-take marine protected areas (MPAs) are commonly applied in community-based management schemes to sustain and enhance coral-reef fisheries. However, many MPAs in Fiji and the South Pacific are relatively small (≤1 km2), and few data exist regarding the effects of these MPAs on populations of exploited species. We used hook-and-line fishing surveys to assess whether 4 relatively small (<1 km2) community-based MPAs in Fiji (3 current, 1 former) were providing any commonly sought benefits to exploited reef-fish stocks. All of the MPAs had maintained no-take status for over 4 yr, although the former MPA was opened to fishing 4 mo before this study. The current MPAs exhibited significantly greater catch and biomass per unit effort, individual fish biomass, and/or percentage of reproductive-size fish than paired, adjacent fished areas, while this was not the case with the former MPA. Sites with intact MPAs also exhibited greater catch diversity than the former MPA site. Additionally, tag and recapture data from the 17 recaptured of 2650 tagged fish suggest site fidelity of these fishes, although fishes initially captured in the MPA at all 4 sites were later caught in fished areas, indicating that there is movement of fishes from the MPAs to fished areas. While the combination of these findings supports the utility of even relatively small MPAs as effective tools for the conservation of certain target species, it also suggests that MPA benefits may be quickly depleted and that even closures of extended duration may be insufficient for long-term fisheries management if the MPAs are not maintained.

The Regional Organization for the Protection of the Marine Environment (ROPME) Sea Area (RSA) in the northern Indian Ocean, which comprises the Gulf, the Gulf of Oman and the northern Arabian Sea, already experiences naturally extreme environmental conditions and incorporates one of the world’s warmest seas. There is growing evidence that climate change is already affecting the environmental conditions of the RSA, in areas including sea temperature, salinity, dissolved oxygen, pH, and sea level, which are set to continue changing over time. The cumulative impacts of these changes on coastal and marine ecosystems and dependent societies are less well documented, but are likely to be significant, especially in the context of other human stressors. This review represents the first regional synthesis of observed and predicted climate change impacts on marine and coastal ecosystems across the ROPME Sea Area and their implications for dependent societies. Climate-driven ecological changes include loss of coral reefs due to bleaching and the decline of fish populations, while socio-economic impacts include physical impacts from sea-level rise and cyclones, risk to commercial wild capture fisheries, disruption to desalination systems and loss of tourism. The compilation of this review is aimed to support the development of targeted adaptation actions and to direct future research within the RSA