RESUMO
Numerous studies have focused on the need to expand production of 'blue foods', defined as aquatic foods captured or cultivated in marine and freshwater systems, to meet rising population- and income-driven demand. Here we analyze the roles of economic, demographic, and geographic factors and preferences in shaping blue food demand, using secondary data from FAO and The World Bank, parameters from published models, and case studies at national to sub-national scales. Our results show a weak cross-sectional relationship between per capita income and consumption globally when using an aggregate fish metric. Disaggregation by fish species group reveals distinct geographic patterns; for example, high consumption of freshwater fish in China and pelagic fish in Ghana and Peru where these fish are widely available, affordable, and traditionally eaten. We project a near doubling of global fish demand by mid-century assuming continued growth in aquaculture production and constant real prices for fish. Our study concludes that nutritional and environmental consequences of rising demand will depend on substitution among fish groups and other animal source foods in national diets.
Assuntos
Peixes/crescimento & desenvolvimento , Abastecimento de Alimentos/estatística & dados numéricos , Alimentos , Renda/estatística & dados numéricos , Alimentos Marinhos/estatística & dados numéricos , África , Animais , Aquicultura/métodos , Ásia , Europa (Continente) , Abastecimento de Alimentos/métodos , Água Doce , Geografia , Saúde Global , Humanos , Modelos Teóricos , América do Norte , Alimentos Marinhos/provisão & distribuição , América do SulRESUMO
The release of classified documents in the past years have offered a rare glimpse into the opaque world of tax havens and their role in the global economy. Although the political, economic and social implications related to these financial secrecy jurisdictions are known, their role in supporting economic activities with potentially detrimental environmental consequences have until now been largely ignored. Here, we combine quantitative analysis with case descriptions to elaborate and quantify the connections between tax havens and the environment, both in global fisheries and the Brazilian Amazon. We show that while only 4% of all registered fishing vessels are currently flagged in a tax haven, 70% of the known vessels implicated in illegal, unreported and unregulated fishing are, or have been, flagged under a tax haven jurisdiction. We also find that between October 2000 and August 2011, 68% of all investigated foreign capital to nine focal companies in the soy and beef sectors in the Brazilian Amazon was transferred through one, or several, known tax havens. This represents as much as 90-100% of foreign capital for some companies investigated. We highlight key research challenges for the academic community that emerge from our findings and present a set of proposed actions for policy that would put tax havens on the global sustainability agenda.
Assuntos
Agricultura , Conservação dos Recursos Naturais , Impostos , Animais , BrasilRESUMO
We show how land-use change can affect fisher-harvesting behavior. We test whether fisher harvesting behavior can be predicted by landscape change patterns at local (~200km) and regional (~1200km) levels. Our data suggest that fishers harvesting in areas near tree plantations reduced benthic-invertebrate harvests in favor of demersal and pelagic finfish that are usually located further offshore. Fishers' management areas, which were near tree plantations, had higher chlorophyll-a values, and contained shellfish with more endobionts. Technology (owning a boat) and experience (age, years fishing, and alternative livelihoods) explained little in fisher-harvesting behavior. The flagship Chilean fisheries management program and seafood companies sourcing from these areas will need to respond to these new challenges. Despite complexities in designing cross-scale, social-ecological studies, we can no longer ignore the interconnectedness of commodities in the biosphere.