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A coupled human-Earth model perspective on long-term trends in the global marine fishery

AbstractThe global wild marine fish harvest increased fourfold between 1950 and a peak value near the end of the 20th century, reflecting interactions between anthropogenic and ecological forces. Here, we examine these interactions in a bio-energetically constrained, spatially and temporally resolved model of global fisheries. We conduct historical hindcasts with the model, which suggest that technological progress can explain most of the 20th century increase of fish harvest. In contrast, projections extending this rate of technological progress into the future under open access suggest a long-term decrease in harvest due to over-fishing. Climate change is predicted to gradually decrease the global fish production capacity, though our model suggests that this is of secondary importance to social and economic factors. Our study represents a novel way to integrate human-ecological interactions within a single model framework for long-term simulations.
- Autonomous University of Barcelona Spain
- University of Chicago United States
- University of California, Los Angeles United States
- University of California System United States
- Institució Catalana de Recerca i Estudis Avançats Spain
570, 550, Earth, Planet, Science, Climate Change, Fisheries, Models, Biological, 333, Article, Theoretical, Models, Humans, Seawater, Life Below Water, International and Comparative Law, Q, Law and Legal Studies, Earth, Models, Theoretical, Biological, Environmental Management, Planet, Environmental Sciences, Forecasting
570, 550, Earth, Planet, Science, Climate Change, Fisheries, Models, Biological, 333, Article, Theoretical, Models, Humans, Seawater, Life Below Water, International and Comparative Law, Q, Law and Legal Studies, Earth, Models, Theoretical, Biological, Environmental Management, Planet, Environmental Sciences, Forecasting
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).65 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
