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Community-based resource management is a key approach to achieve successful small-scale fisheries and marine conservation. Many local management initiatives worldwide have been successfully managing aquatic resources and livelihoods of communities depending on them. Community-based management is particularly prevalent in small tropical islands where communities are frequently heavily dependent on coral reef ecosystems and small-scale reef fisheries for their livelihoods. Community-based management is, however, not always a panacea since there are inherit trade-offs among multiple objectives which are sometimes accentuated by community heterogeneity. It is well recognized that perceived and real evidence of community benefits are key to attributing success to local community-based management. However, broader understanding of community-based management objectives and how fishers' perceived personal objectives and characteristics affect management outcomes remains limited. We apply a non-linear Principle Component Analysis (PCA) to explore variations in personally held community-based management objectives, based on local surveys for fishing communities in the Kei Islands in Indonesia. We then examine whether these variations also explain their perceptions of environmental and economic outcomes that are achieved by this management systems. In this study important differences are found in the perceptions fishers have of the relative importance of different community management objectives. The value people attribute to aspects of community management can be related to their socio-demographic characteristics and experienced fishers tend to focus more on environmental objectives. Given that strong links were found between community management outcomes and terrestrially based activities there is an opportunity to link in the terrestrial and coastal systems management and achieve multiple objective outcomes

This article was published in GCB (2016/22:2462–2474). The authors of the paper ‘Modelling marine community responses to climate-driven species redistribution to guide monitoring and adaptive ecosystem-based management’ would like to inform readers that the R code supplied as online Supporting Information (SI2), includes an error that affects the colour scaling of the response signs of model variables to long-term perturbations, as shown in Figures 4 and 5. Specifically, in both the figures, a greater proportion of predicted responses ought to be interpreted as ‘ambiguous’ (shown in grey). The overall message of the paper and the general interpretation of the results remain unchanged, as only the visualisation of predicting ambiguity is affected by this error and not the direction and overall patterns of predicted model responses. The authors would like to apologize for the erroneous R code, and for any confusion it may have caused.

A theoretical basis is required for comparing key features and critical elements in wild fisheries and aquaculture supply chains under a changing climate. Here we develop a new quantitative metric that is analogous to indices used to analyse food-webs and identify key species. The Supply Chain Index (SCI) identifies critical elements as those elements with large throughput rates, as well as greater connectivity. The sum of the scores for a supply chain provides a single metric that roughly captures both the resilience and connectedness of a supply chain. Standardised scores can facilitate cross-comparisons both under current conditions as well as under a changing climate. Identification of key elements along the supply chain may assist in informing adaptation strategies to reduce anticipated future risks posed by climate change. The SCI also provides information on the relative stability of different supply chains based on whether there is a fairly even spread in the individual scores of the top few key elements, compared with a more critical dependence on a few key individual supply chain elements. We use as a case study the Australian southern rock lobster Jasus edwardsii fishery, which is challenged by a number of climate change drivers such as impacts on recruitment and growth due to changes in large-scale and local oceanographic features. The SCI identifies airports, processors and Chinese consumers as the key elements in the lobster supply chain that merit attention to enhance stability and potentially enable growth. We also apply the index to an additional four real-world Australian commercial fishery and two aquaculture industry supply chains to highlight the utility of a systematic method for describing supply chains. Overall, our simple methodological approach to empirically-based supply chain research provides an objective method for comparing the resilience of supply chains and highlighting components that may be critical.

A theoretical basis is required for comparing key features and critical elements in wild fisheries and aquaculture supply chains under a changing climate. Here we develop a new quantitative metric that is analogous to indices used to analyse food-webs and identify key species. The Supply Chain Index (SCI) identifies critical elements as those elements with large throughput rates, as well as greater connectivity. The sum of the scores for a supply chain provides a single metric that roughly captures both the resilience and connectedness of a supply chain. Standardised scores can facilitate cross-comparisons both under current conditions as well as under a changing climate. Identification of key elements along the supply chain may assist in informing adaptation strategies to reduce anticipated future risks posed by climate change. The SCI also provides information on the relative stability of different supply chains based on whether there is a fairly even spread in the individual scores of the top few key elements, compared with a more critical dependence on a few key individual supply chain elements. We use as a case study the Australian southern rock lobster Jasus edwardsii fishery, which is challenged by a number of climate change drivers such as impacts on recruitment and growth due to changes in large-scale and local oceanographic features. The SCI identifies airports, processors and Chinese consumers as the key elements in the lobster supply chain that merit attention to enhance stability and potentially enable growth. We also apply the index to an additional four real-world Australian commercial fishery and two aquaculture industry supply chains to highlight the utility of a systematic method for describing supply chains. Overall, our simple methodological approach to empirically-based supply chain research provides an objective method for comparing the resilience of supply chains and highlighting components that may be critical.

A theoretical basis is required for comparing key features and critical elements in wild fisheries and aquaculture supply chains under a changing climate. Here we develop a new quantitative metric that is analogous to indices used to analyse food-webs and identify key species. The Supply Chain Index (SCI) identifies critical elements as those elements with large throughput rates, as well as greater connectivity. The sum of the scores for a supply chain provides a single metric that roughly captures both the resilience and connectedness of a supply chain. Standardised scores can facilitate cross-comparisons both under current conditions as well as under a changing climate. Identification of key elements along the supply chain may assist in informing adaptation strategies to reduce anticipated future risks posed by climate change. The SCI also provides information on the relative stability of different supply chains based on whether there is a fairly even spread in the individual scores of the top few key elements, compared with a more critical dependence on a few key individual supply chain elements. We use as a case study the Australian southern rock lobster Jasus edwardsii fishery, which is challenged by a number of climate change drivers such as impacts on recruitment and growth due to changes in large-scale and local oceanographic features. The SCI identifies airports, processors and Chinese consumers as the key elements in the lobster supply chain that merit attention to enhance stability and potentially enable growth. We also apply the index to an additional four real-world Australian commercial fishery and two aquaculture industry supply chains to highlight the utility of a systematic method for describing supply chains. Overall, our simple methodological approach to empirically-based supply chain research provides an objective method for comparing the resilience of supply chains and highlighting components that may be critical.