Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Fish provision in a changing environment: The buffering effect of regional trade networks
Stockholm University, Faculty of Science, Stockholm Resilience Centre.ORCID iD: 0000-0001-8322-1586
Stockholm University, Faculty of Science, Stockholm Resilience Centre.ORCID iD: 0000-0003-1546-0934
Stockholm University, Faculty of Science, Stockholm Resilience Centre.ORCID iD: 0000-0002-8218-1153
Show others and affiliations
Number of Authors: 52021 (English)In: PLOS ONE, E-ISSN 1932-6203, Vol. 16, no 12, article id e0261514Article in journal (Refereed) Published
Abstract [en]

Local and regional trade networks in small-scale fisheries are important for food security and livelihoods across the world. Such networks consist of both economic flows and social relationships, which connect different production regions to different types of fish demand. The structure of such trade networks, and the actions that take place within them (e.g., people fishing, buying, selling), can influence the capacity of small-scale fisheries to provide sufficient fish in a changing social and ecological context. In this study, we aim to understand the importance of networks between different types of traders that access spatially-distinct fish stocks for the availability and variability of fish provision. We deployed a mixed-methods approach, combining agent-based modelling, network analysis and qualitative data from a small-scale fishery in Baja California Sur, Mexico. The empirical data allowed us to investigate the trade processes that occur within trade networks; and the generation of distinct, empirically-informed network structures. Formalized in an agent-based model, these network structures enable analysis of how different trade networks affect the dynamics of fish provision and the exploitation level of fish stocks. Model results reveal how trade strategies based on social relationships and species diversification can lead to spillover effects between fish species and fishing regions. We found that the proportion of different trader types and their spatial connectivity have the potential to increase fish provision. However, they can also increase overexploitation depending on the specific connectivity patterns and trader types. Moreover, increasing connectivity generally leads to positive outcomes for some individual traders, but this does not necessarily imply better outcomes at the system level. Overall, our model provides an empirically-grounded, stylized representation of a fisheries trading system, and reveals important trade-offs that should be considered when evaluating the potential effect of future changes in regional trade networks.

Place, publisher, year, edition, pages
2021. Vol. 16, no 12, article id e0261514
National Category
Earth and Related Environmental Sciences
Identifiers
URN: urn:nbn:se:su:diva-202901DOI: 10.1371/journal.pone.0261514ISI: 000755188900048PubMedID: 34929001OAI: oai:DiVA.org:su-202901DiVA, id: diva2:1645248
Available from: 2022-03-16 Created: 2022-03-16 Last updated: 2022-08-02Bibliographically approved
In thesis
1. Harvesting from land and sea: Social relationships, trade networks, and spatial connectivity in changing social-ecological systems
Open this publication in new window or tab >>Harvesting from land and sea: Social relationships, trade networks, and spatial connectivity in changing social-ecological systems
2022 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

In the era of global change, the connectivity of aquatic and terrestrial food production systems across spatial scales is increasing. At the same time, diverse actors that participate in food systems, from production to consumption, face the need to adapt their daily activities to an increasingly changing context. This thesis aims to better understand actors’ responses to social or environmental changes in food systems that are characterized by their cross-scale dynamics and social-ecological interactions. The four papers that constitute this thesis address this overarching aim by investigating two processes that are important in responding to changes and creating spatial connectivity between geographical locations: trade (Papers I-III), and spatial diversification or actor’s geographical mobility (Paper IV). The papers analyze fisheries and agricultural systems in Mexico and South Africa, using interview-based data collection and analysis, network analysis, agent-based modeling, and combinations of these methods. Papers I-III specifically examine how trade networks, which are embedded in social relationships and networks that operate across spatial scales, can influence the responses of food system actors to multiple types of changes. Paper I shows that trade relationships across fisheries and agricultural systems are generally embedded in stable business relationships characterized by reciprocity. Paper II finds that different trade network structures in a multi-species Mexican fishery can buffer changes in fish availability and create cascading effects between different species and geographical regions. Paper III describes four types of social networks consisting of relationships within and across scales that enable responding to multiple types of changes in a South African agricultural trade network. Paper IV identifies potential factors, such as environmental changes, that could influence changes in fisheries actors’ spatial diversification observed in Mexico. The thesis contributes to social-ecological systems research with theoretical insights regarding the embeddedness of trade networks in multidimensional social relationships within and across scales, where diverse types of social relationships and networks can influence fishing and farming practices. In addition, it highlights that spatial and temporal heterogeneity can have a key role in responses to changes based on spatial connectivity. Finally, the mixed-method methodology applied in this thesis enables simultaneously analyzing networks and processes in social-ecological systems, while illustrating the challenges and opportunities of method integration.

Place, publisher, year, edition, pages
Stockholm: Stockholm Resilience Centre, Stockholm University, 2022. p. 53
Keywords
social-ecological systems, food, trade, networks, embeddedness, supply chain, diversification, mobility, fisheries, agriculture, mixed-methods
National Category
Environmental Sciences Social Sciences Interdisciplinary Agricultural Science, Forestry and Fisheries
Research subject
Sustainability Science
Identifiers
urn:nbn:se:su:diva-207639 (URN)978-91-7911-938-6 (ISBN)978-91-7911-939-3 (ISBN)
Public defence
2022-09-15, hörsal 6, hus 4, Campus Albano, Albanovägen 12 and online via Zoom, Stockholm, 14:00 (English)
Opponent
Supervisors
Funder
EU, European Research Council, 682472
Note

At the time of the doctoral defense, the following papers were unpublished and had a status as follows: Paper 1: Submitted. Paper 3: Manuscript.

Available from: 2022-08-23 Created: 2022-08-02 Last updated: 2022-08-16Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPubMed

Authority records

González-Mon, BlancaLindkvist, EmilieBodin, ÖrjanSchlüter, Maja

Search in DiVA

By author/editor
González-Mon, BlancaLindkvist, EmilieBodin, ÖrjanSchlüter, Maja
By organisation
Stockholm Resilience Centre
In the same journal
PLOS ONE
Earth and Related Environmental Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 53 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf