Solomon Islands national situation analysis

The CGIAR Research Program on Aquatic Agricultural Systems (CRP AAS) was approved by the CGIAR Fund Council in July, 2011. Solomon Islands, one of five countries targeted by the program, began its rollout with a five month planning phase between August and December of 2011. Subsequent steps of the Program rollout include scoping, diagnosis and design. This report is the first to be produced during the scoping phase in Solomon Islands; it addresses the national setting and provides basic information on the context within which the AAS Program will operate. The macro level subjects of analysis provide initial baselines of national level indicators, policy context, power relationships and other factors relevant to the Program

Solomon Islands: Malaita Hub scoping report

The CGIAR Research Program (CRP) Aquatic Agricultural Systems (AAS) will target five countries, including Solomon Islands. The proposed hubs for Solomon Islands were to cover most provinces, referencing the Western, Central and Eastern regions. Scoping of the initial ‘Central’ hub was undertaken in Guadalcanal, Malaita and Central Islands provinces and this report details findings from all three. As scoping progressed however, it was agreed that, based on the AAS context and priority needs of each province and the Program’s capacity for full implementation, the Central Hub would be restricted to Malaita Province only and renamed “Malaita Hub”. Consistent in each AAS country, there are four steps in the program rollout: planning, scoping, diagnosis and design. Rollout of the Program in Solomon Islands began with a five month planning phase between August and December 2011, and scoping of the first hub began in January 2012. This report, the second to be produced during rollout, describes the findings from the scoping process between January and June 2012. This report marks the transition from the scoping phase to the diagnosis phase in which output from scoping was used to develop a hub level theory of change for identifying research opportunities. Subsequent reports detail in-depth analyses of gender, governance, nutrition and partner activities and discuss Program engagement with community members to identify grass-roots demand for research

Solomon Islands: Essential aspects of governance for Aquatic Agricultural Systems in Malaita Hub

In late 2012, a governance assessment was carried out as part of the diagnosis phase of rollout of the CGIAR Aquatic Agricultural Systems Program in Malaita Hub in Solomon Islands. The purpose of the assessment was to identify and provide a basic understanding of essential aspects of governance related to Aquatic Agricultural Systems in general, and more specifically as a case study in natural resource management. The underlying principles of the approach we have taken are drawn from an approach known as “Collaborating for Resilience” (CORE), which is based on bringing all key stakeholders into a process to ensure that multiple perspectives are represented (a listening phase), that local actors have opportunities to influence each other’s understanding (a dialogue phase), and that ultimately commitments to action are built (a choice phase) that would not be possible through an outsider’s analysis alone. This report begins to address governance from an AAS perspective, using input from AAS households and other networked stakeholders. We attempt to summarize governance issues that are found not only within the community but also, and especially, those that are beyond the local level, both of which may need to be addressed by the AAS program

Livelihoods and fisheries governance in a contemporary Pacific Island setting

This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Inshore marine resources play an important role in the livelihoods of Pacific Island coastal communities. However, such reliance can be detrimental to inshore marine ecosystems. Understanding the livelihoods of coastal communities is important for devising relevant and effective fisheries management strategies. Semi-structured household interviews were conducted with householders in Langalanga Lagoon, Solomon Islands, to understand household livelihoods and resource governance in fishing-dependent communities. Households were engaged in a diverse range of livelihoods. Fishing, shell money production and gardening were the most important livelihoods. Proximity to an urban centre influenced how households accessed some livelihoods. Perceptions of management rules varied and different reasons were cited for why rules were broken, the most common reason being to meet livelihood needs. Current models of inshore small-scale fisheries management that are based on the notion of community-based resource management may not work in locations where customary management systems are weak and livelihoods are heavily reliant on marine resources. An important step for fisheries management in such locations should include elucidating community priorities through participatory development planning, taking into consideration livelihoods as well as governance and development aspirations

Distribution of livelihood activities across family members.

<p>Multinomial logistic regression plot of the probability of involvement in the six most common livelihood activities, and all other livelihood activities combined, as a function of household members and proximity to Auki.</p

Map of Langalanga Lagoon, Solomon Islands.

<p>(A) Solomon Islands are located in the Western Pacific. (B) Langalanga lagoon is situated on the west coast of Malaita Province. (C) Many communities in the lagoon live on the high-water mark on artificial islands. (D) The lagoon extends south of the provincial capital Auki; twelve communities were included in the study.</p

Categories of different resource management rules according to type and level of compliance (%); n = number of responses given in each category (not number of respondents).

<p>Categories of different resource management rules according to type and level of compliance (%); n = number of responses given in each category (not number of respondents).</p

Frequency distribution of mean weekly income.

<p>Reported household mean weekly income, in USD.</p