Hostname: page-component-74656f9884-c52kr Total loading time: 0 Render date: 2026-11-06T13:05:45.368Z Has data issue: false hasContentIssue false

Traditional foods, corporate controls: networks of household access to key marine species in southern Bering Sea villages

Published online by Cambridge University Press:  27 May 2014

Katherine Reedy
Affiliation:
Department of Anthropology and Idaho Museum of Natural History, 921 S. 8th Ave, Idaho State University, Pocatello, Idaho 83209, USA (reedkath@isu.edu)
Herbert Maschner
Affiliation:
Department of Anthropology and Idaho Museum of Natural History, 921 S. 8th Ave, Idaho State University, Pocatello, Idaho 83209, USA (reedkath@isu.edu)
Rights & Permissions [Opens in a new window]

Abstract

Southern Bering Sea fishermen are vulnerable to losing access to key fisheries due largely to policy changes, permit loss, and the expense of fishing operations. Local residents generally do not have fishing rights in many of the high value commercial fisheries. They must continuously shape policy and explore alternative economies in order to stay fishermen. We were contracted by the U.S. Bureau of Ocean Energy Management to study the role of subsistence and commercial fisheries, land use, socioeconomics, and sharing networks in Alutiiq and Aleut/Unangan villages. Through an exploration of these data using innovative social network analysis that presents relationships, social stratification, commercialisation, and other dependencies in the maintenance of fisheries, sharing, trading, and revenue streams, this paper shows that in two of the most socioeconomically valuable fisheries, king crab (Paralithodes sp. and Lithodes sp) and cod (Gadidae), local peoples have had to gain access to these foods by using means outside of what are academically perceived as their traditional subsistence and commercial allocation, resulting in adaptive networks of distribution. This work shows the range of networks surrounding these key foods and their associated vulnerabilities and resilience. Those sharing networks that demonstrate greater interconnectedness are much more stable and resilient.

Information

Type
Northern fisheries
Copyright
Copyright © Cambridge University Press 2014 
Figure 0

Fig. 1. Map of the study region showing the communities surveyed, the boundaries of the potential North Aleutian Basin development, and other features

Figure 1

Fig. 2. Shellfish networks for households in the study region. Presented are nine independent networks that include all shellfish species included in transactions during this study. The size of the nodes is scaled by the numbers of network connections. Households are identified as H (and are inside a ring to reflect multiple individuals), canneries and other businesses as E (Entity). Colours are random for ease of visualisation of different nodes and connections. Numbers are random identifications for surveyed households. Spatial distance between nodes is also for easier visual presentation.

Figure 2

Fig. 3. Rank order of household shellfish network distribution based on the numbers of transactions in each network. Numbers correspond to rank order of the networks on Figure 4. These data show that most shellfish transactions within, between, and outside the surveyed communities are connected into one large network, with one middle sized network, and eight small networks.

Figure 3

Fig. 4. Rank order of the most important shellfish species in all regional transactions based on the number of nodes (individuals) involved in those transactions. Octopus and king crab dominate these transactions, with chitons a distant third, and all others much lower.

Figure 4

Fig. 5. King crab networks are all based on access to crab from canneries, labelled as E (Entity) in networks 1 and 2, from the large wholesale retailer Costco in Anchorage (E in network 3), or from a local seafood store in Anchorage (E in network 4). These star pattern networks are extremely vulnerable to perturbations because the loss of a cannery, for example, means a significant loss of access to this social resource. The sizes of the nodes are scaled on the numbers of transactions, the arrows indicate direction of transaction, colour is for identification only.

Figure 5

Fig. 6. Marine fish distribution networks for households in the study region. Presented are ten independent networks that include all marine fish species with transactions during this study. H = Household; E = Entity, such as a processor or other business.

Figure 6

Fig. 7. Rank order of household marine fish network distribution based on the numbers of transactions in each network. Numbers correspond to networks identifiers in Fig. 7. These data show that most marine transactions within, between, and outside the surveyed communities are connected into one large network, with two smaller networks, and seven small networks with only 1–3 transactions.

Figure 7

Fig. 8. Rank order of the most important marine fish species in all regional transactions based on the number of nodes (individuals) involved in those transactions. Halibut and Pacific cod dominate these transactions, all others play a very small role in the marine fish networks.

Figure 8

Fig. 9. Pacific cod networks are centred on a variety of distribution points. The largest network (network 1) revolves around Peter Pan Seafoods, a cannery in King Cove, Alaska. The second largest network (network 2) is a non-indigenous local resident who provides considerable resources to regional households, labelled P (Person) because this individual was not one of the surveyed households (H). These star pattern networks are extremely vulnerable to perturbations because the loss of a cannery, or if individual 3220 were to leave the area, for example, means a complete loss of access to this recourse. The sizes of the nodes are scaled on the numbers of transactions, the arrows indicate direction of transaction, and colour is for identification only.