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Bering Sea Sub Network (BSSN): International Community-based Environmental Observation Alliance for the Arctic Observing Network, Lessons Learned in the Pilot Phase of the Project

Bering Sea Sub Network (BSSN): International Community-based Environmental Observation Alliance for the Arctic Observing Network, Lessons Learned in the Pilot Phase of the Project
Abstract Category: 
1.1. Advances in Understanding Arctic System Components
Type: 
Poster
Lilian Alessa1, Victoria Gofman2, Andy Kliskey3
1Resilience and Adaptive Management Group, University of Alaska, Anchorage, 3211 Providence Drive, Anchorage, AK, 99508, USA, afla [at] uaa [dot] alaska [dot] edu
2Aleut International Association, 333 W. 4th Ave., Suite 301, Anchorage, AK, 99501, USA, victoriag [at] alaska [dot] net
3Resilience and Adaptive Management Group, University of Alaska Anchorage, 311 Providence Drive, Anchorage, AK

BSSN is a formalized network of Bering Sea coastal communities created for systematic gathering of local observations regarding the environment and harvest of selected fish and marine mammals. BSSN is a 2008-09 IPY project and its pilot phase was completed in 2009. Collaborators include: the University of Alaska, Alaska Native Science Commission, United Nations Environment Programme—Global Resource Databank Arendal, and the Conservation of Arctic Flora and Fauna working group of the Arctic Council. The participating communities are Gambell (St. Laurence Island Yupik), Togiak (Central Yup'ik), Sand Point (Unangan/Eastern Aleut) in Alaska, U.S. and Kanchalan (Chukchi), Tymlat (Koryak), and Nikolskoye (Unangas/ Western Aleut) in the Russian Federation.

The overall goal of BSSN is to increase our understanding and knowledge of pan-Arctic processes, thereby enhancing the ability of communities, scientists and governments to predict plan, and respond to environmental changes and their subsequent socio-economic effects. The aim of the pilot phase was to devise an organizational and methodological base for the work of the network.

The poster discusses how various components of the research process were developed and the challenges encountered by the research team. Successful communication between the project scientists, local research assistants and communities in multi cultural environment is a key to an effective work. Observations were gathered by interviewing local harvesters utilizing purposive non-random sampling. In four out of six communities local residents were trained to conduct interviews. A comparison between local interviewers and visiting researches helps better understand pros and cons of using both. BSSN is community centred and adapting the survey process to the needs and educational levels of the local research assistants is very important for BSSN.

A snap shot of the pilot phase data will be presented as well.

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National Science Foundation | Division of Arctic Sciences
National Science Foundation
National Oceanic and Atmospheric Administration
National Oceanic and Atmospheric Administration
International Arctic Systems for Observing the Atmosphere
International Arctic Systems for Observing the Atmosphere
Study of Environmental Arctic Change
Study of Environmental Arctic Change
Arctic System Science Program
Arctic System Science Program
US Arctic Research Commission
US Arctic Research Commission
North Slope Science Initiative
North Slope Science Initiative
International Arctic Science Committee
International Arctic Science Committee
Arctic Ocean Sciences Board
Arctic Ocean Sciences Board
Alaska Ocean Observing System
Alaska Ocean Observing System
Department of Energy
Department of Energy
National Aeronautics and Space Administration
National Aeronautics and Space Administration
World Wildlife Fund
WWF
Association of Polar Early Career Scientists
Association of Polar Early Career Scientists
Bureau of Land Management
Bureau of Land Management
International Study of Arctic Change
International Study of Arctic Change
ArcticNet
ArcticNet
DAMOCLES
Developing Arctic Modeling and Observing Capabilities for Long-term Environmental Studies

This work is supported by the National Science Foundation (NSF) under the ARCUS Cooperative Agreement ARC-0618885. Any opinions, findings, and conclusions or recommendations expressed do not necessarily reflect the views of the NSF.