FISHING GREEN. Richard H. Parrish PhD Fisheries Biologist. December 2, 2013

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FISHING GREEN Richard H. Parrish PhD Fisheries Biologist December 2, 2013 The use and perceived misuse of natural resources utilized for food production have become major issues in many places in the world, and California is among the leaders in public awareness and regulation. Sustainable harvesting and processing, and avoiding foods that have high energy consumpton in their production and/or transportation, are all coming under increased attention. Fishing green implies that fisheries are harvested at a sustainable level, and many are now advocating harvesting fisheries resources at levels below the maximum sustainable level (i.e lower than the economic maximum long-term yield). For example, federal management now includes buffers that set annual quotas less than the maximum biological yield. Other elements of fishing green can be achieved in three major ways: (1) reduce the harvest of foods that have high energy costs in their production, capture or transportation, (2) reduce harvest of high trophic level species that require a large amount of primary production to replace their numbers, (3) support efficiency in the production of fishery resources. The metric for this new way of measuring sustainability is calories in vs. calories out. Although not well known, purse-seine fisheries for small pelagic species have energy costs that are comparable to those found in the most energy-efficient food crops. Recent studies clearly show that the energy required in the production of foods from fisheries, farming and animal husbandry is highly varible (Pelletier et al 2011, Woods et al 2010). Tyedmers (2008) showed that the energy required in the transport of seafoods was more dependent upon the mode of transport than the miles transported; transport by sea being far more efficient than trucking or air tranport. Tyedmers (2001) analysis of the energy used in a wide range of North Atlantic fisheries demonstrated that purse-seine fisheries are by far the most energy efficient. Evidence presented here shows that the California purse-seine fishery for coastal pelagic species (squid, sardine, mackerels and anchovy) is among the most energy efficient food production systems in the world. Reduce Harvest of Foods with High Energy Costs in Their Production: Direct fuel energy inputs to fisheries account for between 75 and 90% of the total energy input required in the harvest of marine species (Tyedmers 2001). The remaining 10 to 25% includes direct and indirect energy inputs associated with vessel construction and maintenance, providing fishing gear, and labor. There is a wide range of energy costs in different fisheries. Fisheries for benthic species and high trophic level pelagic species tend to be more energy intensive than targeted pelagic trawling or purseseining for small or mid-sized pelagic species. More passive techniques such as gillnetting, hook-andline and trapping tend to have somewhat lower energy costs than trawling, but long-lining for high seas species such as tunas and billfishes requires relatively high energy costs (Tyedmers 2001). To demonstrate the wide range of energy inputs needed to harvest different species using different fishing gear types, I have extracted a number of examples from the literature and have included a number of examples taken from local California fisheries (Figure 1,Table 1). For comparative purposes, 1

the fuel consumption of a number of mostly European and North American fisheries is expressed in common units (i.e. gallons of fuel used to land one metric ton (gal/mt) of fish or shellfish). Fisheries for lobsters have very high fuel usage, with landings averaging 717 gallons of fuel per metric ton landed. Shrimp trawl fisheries are also very inefficient fuel consumers (271 gal/mt). Tyedmers (2002) points out that the 5 low-bycatch shrimp fisheries he examined burned a total of 136 million liters of fuel in the process of landing 149,000 tonnes of shrimp. Groundfish fisheries have a wide variety of gear types, including otter trawl, long-line, gillnets, and landings in these fisheries: trawl fisheries consumed an average of 176 gal/mt and non-trawl fisheries consumed (213 gal/mt). Hook and line fisheries for large pelagic species, salmon, tunas and billfish also have very high fuel usage varying from 95 to 460 gal/mt with an average of 258 gal/mt. In contrast, fisheries for small and medium sized pelagic species that commonly school or shoal are much more fuel-efficient. Mid-water and pelagic trawl fisheries used an average of 20 gal/mt of fish. The most efficient of these fisheries (Pacific hake) used only 9 gal/mt of hake.. Purse-seine fisheries for small pelagic fishes and squid are the most fuel-efficient of all the fisheries averaging only 13 gal/mt caught. An example is from a representative sample of California purse-seiners that target coastal pelagic species: these boats used only 6 gal/mt. (Table 2). Gallons per ton of -ish or shell-ish 1000 900 800 700 600 500 400 300 200 Lobster (trap) Shrimp (trawl) GroundEish (otter trawl) GroundEish (other gear) Large Pelagics (all gear) Small Pelagics (mid- water trawl) Small Pelagics (purse- seine) California 6 gal. 100 0 0 Fisheries 35 Figure 1. Gallons of fuel burned to land a metric ton of fish or shellfish in a range of fisheries targeting different species and using different fishing gear. 2

In comparing the fuel required to produce field crops vs fish and shellfish, it is clear that terrestrial food production systems have as wide a range of fuel usage as fisheries (Table 1). The most efficient field crops corn, soybeans, wheat and potatoes have comparable fuel efficiency ( i.e. 8-24 gal/mt ) to the pelagaic trawl and purse-seine fisheries for small pelagic species. Energy useage to produce pork (108 gal/mt) and beef (179 gal/mt) in the UK are comparable to trawl fisheries for bottomfish. Hothouse tomato production in the UK requires 787 gal/mt which is greater than the average fuel usage for lobster fisheries. Reduce Consumption of Foods with High Transportation Costs. Food miles are often used as an example of the energy use of the transportation segment of the food delivery system. However, Tyedmers (2008) states that transport often makes a small contribution to overall emissions related to seafood production, and the mode of transport is more important than the miles (Figure from Tyedmers (2008). Transport Modes & Emissions GHG emission intensity of alternate modes of freight transport (including infrastructure) (European data) GHG Emissions (kg CO 2 eq./t*km) 2 1.5 1 0.5 0 Ship (long haul) Rail Tractor trailer Delivery van Air (long haul) Air (short haul) One example given by Tyedmers (2008) describes the differences in the emissions due to the air transport of fresh Alaska salmon to San Francisco and the surface transport of Alaska frozen/smoked salmon to San Francisco. The transport emissions from the fresh salmon was nearly 20 times that from the transport of frozen/smoked salmon. Tyedmers study also found the greenhouse gas emissions (GHG) for long haul shipping were by far the lowest of any transport method. In the California squid fishery, where much of the landings are transported by sea to Asia for processing and then some are returned to the US for consumption, the carbon footprint is among the lowest of global fisheries. In contrast, emissions from air transport of live California lobster to consumers in Asia are likely to be similar to those in the air transport of fresh Alaska salmon to San Francisco. Summary: Combining the two major sources of energy usage and carbon emission, production and transport, it is clear that California s purse-seine fishery has extremely low energy usage for production and low energy usage for transport. California s trawl fisheries have average energy usage for both production and transport, while California s lobster fishery has very high energy usage for both production and transport. 3

References: Pelletier, N., E. Audsley, S. Brodt, T. Garnett, P. Henriksson, A. Kendall,K. Kramer, D. Murphy,T. Nemecek, and M. Troell. 2011. Energy Intensity of Agriculture and Food Systems. Annu. Rev. Environ. Resour. 2011. 36:7.1 7.24 Philbin, C.W. 1980. Three different delivery modes ford fresh-caught Pacific whiting, Merluccius productus. Mar Fish Rev. Feb 1980 30-6. Tyedmers P. 2001. Energy consumed by North Atlantic fisheries. In Fisheries impacts on North Atlantic ecosystems: catch, effort and national/regional datasets (Eds D. Zeller, R. Watson, and D. Pauly). Fisheries Centre Research Reports, 2001, vol. 9(3), pp. 12 34 (Fisheries Centre, University of British Columbia, Vancouver, British Columbia). Tyedmers, P., 2004. Fisheries and energy use. Encyclopedia of Energy, Volume 2. Elsevier Inc. p. 683-93 Tyedmers, P. and R. Parker. 2012. Fuel consumption and greenhouse gas emissions from global tuna fisheries: A preliminary assessment. ISSF Technical Report 2012-03. International Seafood Sustainability Foundation, McLean, Virginia, USA. Tyedmers, P., 2008. The role of food miles in the carbon intensity of seafood. Wiviott D.J., and S.B. Mathews. 1975. Energy efficiency comparison between the Washington and Japanese otter trawl fisheries in the northeast Pacific. Mar. Fish. Rev. Vol. 37 (4): 21-24. Woods, J., A. Williams, J.K. Hughes, M. Black, R. Murphy. 2010. Energy and the food system. Philos.Trans. R. Soc. B 365:2991 3006 Ziesemer, J., 2007. Energy use in organic food systems. FAO. Natural Resources Management and Environment Department Food and Agriculture Organization of the United Nations. 28p. http://www.fao.org/docs/eims/upload/233069/energy-use-oa.pdf 4

Table 1. Fuel consumption of fishing vessels in relation to landings (gallons of fuel per metric ton of fish or shellfish). Country Gear Species gal/mt TRAWL (SHRIMP) Canada Trawl shrimp 166 Norway Trawl shrimp 381 Iceland Trawl shrimp 267 Average 271 TRAWL (FISHES) Canada 1999 1 Trawl redfish, flatfish, cod 109 Norway 1998 1 Trawl cod, saithe, haddock 135 Iceland 1997 1 Trawl cod, redfish, saithe 131 Germany 1998 1 Trawl cod, plaice, haddock 411 Japan (in USA) 1971 2 Trawl rockfish, pollock, blackcod 273 Washington 1971 2 Trawl rockfish, cod, hake 50 Monterey 2000-3 3 Trawl rockfish, blackcod, flatfish 104 Monterey 2010-2 3 Trawl flatfish, sandabs, halibut 197 Average 176 OTHER BOTTOM GEAR Canada 1999 1 Dredge scallops 90 Canada 1999 1 Long-line cod, haddock, hake 129 Canada 1999 1 Gillnet cod, saithe, halibut 378 Norway 1998 1 Long-line cod, haddock, ling 126 Iceland 1997 1 Long-line cod, haddock, dab 158 Iceland 1997 1 Hand-line cod, saithe, redfish 161 Average 213 LOBSTER Norway 1 Trap lobster 987 California 3 Trap lobster (Santa Cruz Is.) 689 California 3 Trap lobster (Point Loma) 474 Average 717 LARGE PELAGICS Canada 1999 1 Long-line swordfish, tuna 460 NE Pacific 1990s 4 Troll salmon 219 NE Pacific 1990s 4 Purse-seine salmon 95 Global 5 Purse-seine tuna 97 Global 5 Long-line tuna 283 Global 5 Pole and line tuna 394 Average 258 PELAGIC TRAWL (pelagic fishes) Iceland `1997 1 Pelagic trawl capelin, herring, whiting 21 Germany 1998 1 Pelagic trawl mackerel, herring, sardine 30 USA Oregon 6 Pelagic trawl hake 9 Average 20 5

PURSE SEINE (small pelagic fishes and squid) Norway1998 1 Purse-seine herring, whiting, mackerel 27 Iceland 1997 1 Purse-seine herring, capelin 15 Canada 1999 1 Purse-seine herring, capelin, mackerel 8 USA East Coast 1999 1 Purse-seine menhaden 8 USA California 3 Purse-seine squid, sardine, mackerel 6 Average 13 COMPARATIVE FIELD CROPS AND MEAT PRODUCTION USA 7 corn 16 USA 7 soybean 24 UK 8 milling wheat 16 UK 8 potatoes 8 UK 8 carrots 11 UK 8 milk 16 UK 8 pork 108 UK 8 beef 179 tomato (hot-house) 787 1 Tredmers (2001); 2 Wiviott and Mathews (1975); 3 unpublished data; 4 Tredmers (2004) 5 Tyedmers and Parker (2012), 6 Philbin (1980). 7 Woods et al 2010. 8 Ziesmer 2007. Table 2. Fuel usage, landings in lbs. of fish per pound of fuel for 10 Southern California CPS purseseiners in 2010. Boat Fuel (Gal) Squid Sardine Mackerel Anchovy Total lbs gal/mt 1 36,000 5,867,880 5,041,322 202,771 11,111,973 7.14 2 20,868 4,400,000 4,400,000 10.46 3 26,650 9,381,360 2,560,759 891,798 12,833,917 4.58 4 15,039 6,218,158 578,470 613,357 7,409,985 4.47 5 35,557 6,493,596 7,496,542 478,111 5,905 14,474,154 5.42 6 19,101 6,111,121 336,430 6,447,551 6.53 7 20,911 6,606,189 5,823,135 411,620 16,855 12,857,799 3.59 9 23,035 3,155,841 937,370 43,617 4,136,828 12.28 10 26,577 1,980,247 3,461,362 584,060 6,025,669 9.72 12 24,000 7,000,000 960,000 300,000 250,000 8,510,000 6.22 Total 247,738 57,214,392 27,195,390 2,020,179 1,777,915 88,207,876 6.19 6