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Methodology of socially-oriented observations and the possibilities of their implementation in the Arctic resilience assessment.

Published online by Cambridge University Press:  01 May 2013

Tatiana Vlasova
Affiliation:
Institute of Geography, Russian Academy of Science, Staromonetny per.29, Moscow, Russia (tatiana.vlsv@gmail.com)
Sergey Volkov
Affiliation:
Institute of Agricultural Economy, Russian Academy of Agricultural Sciences, Horoshovskoye highway, 35, Moscow, Russia

Abstract

The methodology of socially-oriented observations (SOO) started to be developed within the International Polar Year (IPY) 2007–2008 PPS Arctic project. The main objective of SOO is to increase knowledge and observation of changes in quality of life conditions and to reveal trends in human capital and capacities. SOO are needed also to assess and monitor trends in resilience and sustainability of coupled socio-ecological systems and to predict changes. Moreover they should help to identify and monitor the implementation of local plans and adaptation strategies that will stimulate human capital improvement and act not only as the agent of economic modernisation, but as important directions for building resilient socio-ecological systems. The first experiments to implement SOO methodology were carried out in the municipal regions of the Russian north in different biomes (from coastal tundra to southern taiga zone) of Murmansk, Arkhangelsk Oblast and the Republic of Komi. SOO approaches, based both on local people's perceptions and statistics, help to identify the main issues and targets for life quality, human capital and environment improvement and thus to distinguish the most important changes and trends for further monitoring. Key issues were identified in the state of human capital and quality of life conditions: depopulation, increasing unemployment, aging, declining physical and mental health, quality of education, loss of traditional knowledge, marginalisation etc. Human induced disturbances such as uncontrolled forests cuttings and poaching are increasing while observed changes in climate and biota have become additional factors influencing land use and overall sustainability. The main aim of this paper is to show how the methodology of SOO may help to delineate main thresholds arising within socio-ecological systems for their resilience assessment.

Type
Research Article
Copyright
Copyright © Cambridge University Press 2013 

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References

ARR (Arctic Resilience Report). 2012. Fact sheet Arctic, March 2012. URL: http://www.arctic-council.org/arr/documents/arrfactsheet.pdf (accessed 1 March 2012).Google Scholar
Donaldson, S., Doubleday, N., Harper, K., McIntyre, N. and Vlasova, T.K.. 2008. Section IV. Common protocols for regional socioeconomic and cultural observations. In: Hofgaard, A. and G. Rees. Common protocols for field measurements and handling of collected material. Tromsø: PPS. (2nd annual meeting of PPS in Tromsø, March 2007): 29–39. URL: http://pps-arctic.sres.management.dal.ca/pps_Manual.pdf (accessed 26 May 2008).Google Scholar
Nilsson, A.E., Cornell, S., Wilkinson, C. and Vlasova, T.K.. 2012. Arctic resilience report. Arctic Herald 4: 5261. URL: http://www.arctic-herald.ru/ (accessed 29 December 2012).Google Scholar
Nilsson, A.E. and Olsson, M. (editors). 2011. Report on Arctic resilience report scoping workshop. Stockholm: Stockholm Environment Institute. (Stockholm, Sweden. 26–28 September 2011).Google Scholar
Oleinik, G.D. (editor). 2011. ‘Conservation and sustainable development of the Arctic: the legal aspects. Moscow: Russian People's Friendship University (International Arctic Legal Forum, 26–29 October 2011, Salekhard, Yamal-Nenets Autonomous District): 4–11. [In Russian].Google Scholar
Resilience Alliance, 2010. Assessing resilience in social-ecological systems: workbook for practitioners. Version 2.0. URL: http://www.resalliance.org/index.php/resilience_assessment (accessed 10 April 2012).Google Scholar
Vlasova, T.K., Doubleday, N.C. and Hofgaard, A.. 2008. Approaches, means and methods of socially-oriented observations network construction within PPS Arctic project. Environmental Planning and Management 3–4 (8–9): 4958 [in Russian with abstract in English].Google Scholar
Vlasova, T.K. 2009. Experience in developing approaches and methods for socially-oriented observations of the North: the integration of interdisciplinary science and public opinion. In: Chereshnev, V.A.Russian northern innovation strategy. Social development of northern regions. Moscow: Galeria: 6779 [in Russian].Google Scholar
Vlasova, T.K. 2010a. Integrated Arctic socially-oriented observation system (IASOS) network. In: Arctic Observing Networks–Russia. Russia country report. Chapter 14): 53–55. URL: http://www.arcticobserving.org/images/stories/Preparatory/inventory_reports/Inventory_of_Arctic_Russia_En.pdf (accessed 15 December 2010).Google Scholar
Vlasova, T.K. 2010b. Strategic approach for socially-oriented observations of coupled human-nature changes in the Russian Arctic: from quality of life issues recognition to solutions. Miami. (Oral presentation at the State of the Arctic Conference. 16–19 March 2010. Miami, USA. URL: http://soa.arcus.org/sites/soa.arcus.org/files/sessions/4–1-defining-solution-space/pdf/4–1-1-vlasova-tatiana.pdf (accessed 17 August 2010).Google Scholar
Volkov, S.G. and Vlasova, T.K.. 2010. Issues of agricultural production in marginal regions of the Russian North. In: Agricultural Production: experience, problems and trends of development. Vol. 1. Moscow: Russian Academy of Agricultural Science. Russian Research Institute of Agricultural Science: 45–63 [in Russian].Google Scholar