| Literature DB >> 32005872 |
Linus Hasselström1,2, Jean-Baptiste Thomas3, Jonas Nordström4, Gunnar Cervin5, Göran M Nylund5, Henrik Pavia5, Fredrik Gröndahl3.
Abstract
Seaweed cultivation is a large industry worldwide, but production in Europe is small compared to production in Asian countries. In the EU, the motivations for seaweed farming may be seen from two perspectives; one being economic growth through biomass production and the other being the provisioning of ecosystem services such as mitigating eutrophication. In this paper, we assess the economic potential of large-scale cultivation of kelp, Saccharina latissima, along the Swedish west coast, including the value of externalities. The findings suggest that seaweed farming has the potential of becoming a profitable industry in Sweden. Furthermore, large-scale seaweed farming can sequester a significant share of annual anthropogenic nitrogen and phosphorus inflows to the basins of the Swedish west coast (8% of N and 60% of P). Concerning the valuation of externalities, positive values generated from sequestration of nitrogen and phosphorus are potentially counteracted by negative values from interference with recreational values. Despite the large N and P uptake, the socioeconomic value of this sequestration is only a minor share of the potential financial value from biomass production. This suggests that e.g. payment schemes for nutrient uptake based on the socioeconomic values generated is not likely to be a tipping point for the industry. Additionally, seaweed cultivation is not a cost-efficient measure in itself to remove nutrients. Policy should thus be oriented towards industry development, as the market potential of the biomass will be the driver that may unlock these bioremediation opportunities.Entities:
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Year: 2020 PMID: 32005872 PMCID: PMC6994625 DOI: 10.1038/s41598-020-58389-6
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Summary table for the variables used in the analysis.
| Variable | Unit | Midpoint value | Worst | Best | Reference |
|---|---|---|---|---|---|
| Long line | Km per hectare | 2.34 | Case data. | ||
| Production: wet weight | Tons per km long line/year | 8 | 7.5 | 15 | Case data. |
| Dried seaweed as share of wet weight | 0.1789 | 0.1737 | 0.1842 | Based on 18.5% moisture content in dried product, midpoint of a 15–22% interval, where 15% is considered a conservative lower end of interval and 22% is max recommended[ | |
| Dry weight share of wet weight (i.e. no water at all left) | 0.151 | [ | |||
| Production: dried seaweed | Tons per hectare | 3.3497 | 3.1403 | 6.2806 | Calculations from above. |
| Material every year | EUR per 2 ha | 31 657 | 32 126 | 31 187 | Case data. |
| every 5th year | EUR per 2 ha | 7 192 | 7 192 | 7 192 | Case data. |
| every 10th year | EUR per 2 ha | 46 731 | 54 240 | 39 223 | Case data. |
| Labour every year | EUR per 2 ha | 54 451 | 61 653 | 47 249 | Case data. |
| every 10th year | EUR per 2 ha | 6 695 | 8 123 | 5 268 | Case data. |
| Energy every year | EUR per 2 ha | 1 089 | 2 119 | 58 | Case data. |
| Sales value (dried seaweed) | EUR per kg dried seaweed | 31 | 10 | 52 | Conservative estimate based on[ |
| Productivity growth | 2.4% | See supplementary material for details. | |||
| N content | Kg per ton dwt | 16 | [ | ||
| Economic value of N | EUR per kg N | 7.6 | 3.6 | 11.5 | [ |
| P content, kilo/ton dry weight | Kg per ton dwt | 2.4 | [ | ||
| Economic value of P | EUR per kg P | 86.5 | 0 | 172.9 | [ |
| Total recreational values west coast (“Consumer Surplus”) | Thousand EUR | 1 805 800 | Calculations based on[ | ||
| Share of Consumer Surplus loss at max potential scale | 6% | 10% | 2% | Assumption. | |
| Discount rate | 4% | 6% | 2% | Assumption.[ | |
Figure 1Net present values for single-firm 2 ha scenario and scale-up scenario where 338 km2 is used for seaweed cultivation (thousands of Euros). Error bars represent results when all variables are simultaneously at their worst case vis-à-vis best case values according to assumptions in Table 1.
Figure 2Net present values of externalities for scale-up scenario where 338 km2 is used for seaweed cultivation (thousands of Euros). Error bars represent results when all variables are simultaneously at their worst case vis-à-vis best case values according to assumptions in Table 1.
Figure 3Value pyramid for the seaweed industry. Source:[34], adapted from[35].