Preview

GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY

Advanced search

AGRICULTURAL CHANGE IN THE RUSSIAN GRAIN BELT: A CASE STUDY OF SAMARA OBLAST

https://doi.org/10.24057/2071-9388-2012-5-2-95-110

Full Text:

Abstract

Change in agricultural land use in Samara Oblast is analyzed on the basis of agricultural statistics, field observations, and satellite imagery. Besides the general decline in animal husbandry, three drivers of spatial change are uncovered—accessibility to the major urban areas, natural setting, and ethnic mix. Land surface phenology metrics are in line with these drivers. In particular, satellite imagery confirms the large amount of fallowed land in Samara. Overall, land abandonment reached its peak in the late 1990s, and was subsequently reversed but the amount of land used in crop farming has not reached the 1990 level. Spatial differentiation is also analyzed across three types of farms—former collective and state farms, household farms, and registered family businesses.

About the Authors

Kirsten de Beurs

United States
Department of Geography and Environmental Sustainability, The University of Oklahoma, Norman, OK, USA


Grigory Ioffe

United States
Radford University, Radford, VA, USA


Tatyana Nefedova

Russian Federation
Institute of Geography, Russian Academy of Sciences, Moscow, Russia


References

1. Agriculture Samara.(2008). State statistics for the Samara Oblast. In Federal State Statistics

2. Service / Regional office of the federal service, eds. N.N. Prozhivina, N. Merkulov & O.M.

3. Bayadina. Samara.

4. de Beurs, K.M. & G.M. Henebry (2004). Land surface phenology, climatic variation, and

5. institutional change: analyzing agricultural land cover change in Kazakhstan. Remote

6. Sensing of Environment, 89, 497–509; doi:10.1016/j.rse.2003.11.006.

7. de Beurs, K.M. & G.M. Henebry (2005a). Land surface phenology and temperature variation

8. in the IGBP High-Latitude transects. Global Change Biology, 11, 779–790.

9. de Beurs, K.M. & G.M. Henebry (2005b). A statistical framework for the analysis of long

10. image time series. International Journal of Remote Sensing, 26, 151–1573.

11. de Beurs, K. M. & G. M. Henebry (2008). Northern Annular Mode effects on the Land

12. Surface Phenologies of Northern Eurasia. Journal of Climate, 21, 4257–4279.

13. de Beurs, K.M. & G.M. Henebry. (2010). Spatio-temporal statistical methods for modeling

14. land surface phenology. In Phenological Research: Methods for Environmental and Climate

15. Change Analysis, eds. I.L. Hudson & M.R. Keatley, submitted. Springer.

16. Dronin, N. & A. Kirilenko (2011). Climate change, food stress, and security in Russia. Regional

17. Environmental Change, 11, s. 167–178.

18. Fay, M. & H. Patel (2008). Adapting to climate change in Eastern Europe and Central Asia.

19. World Bank Publications.

20. Ioffe, G. (2005). The downsizing of Russian agriculture. Europe-Asia Studies, 57, 179–208.

21. Ioffe, G., T. Nefedova & K.M. de Beurs (2011). Change in Russia’s agricultural land use:

22. Merging fieldwork and satellite imagery. Tijdschrift for economische en sociale geografie,

23. submitted August 2011.

24. Ioffe, G., T. Nefedova & I. Zaslavsky (2004). From spatial continuity to fragmentation: The case

25. of Russian farming. Annals of the Association of American Geographers, 94, 913–943.

26. Ioffe, G., T. Nefedova & I. Zaslavsky. (2006). The end of peasantry? The disintegration of rural

27. Russia. Pittsburg, PA: University of Pittsburg Press.

28. Lerman, Z. & N. Shagaida (2007). Land policies and agricultural land markets in Russia.

29. Land Use Policy, 24, 14–23.

30. Lucht, W., C.B. Schaaf & A.H. Strahler (2000). An Algorithm for retrieval of albedo from space

31. using semiemperical BRDF models. IEEE Transactions of Geoscience and Remote Sensing,

32. , 977–998.

33. Morisette J.T., A.D. Richardson, A.K. Knapp, J.I. Fisher, E. Graham, J. Abatzoglou, B.E. Wilson,

34. D.D. Breshears, G.M. Henebry, J.M. Hanes, and L. Liang. (2008). Unlocking the rhythm of

35. the seasons in the face of global change: Challenges and opportunities for phenological

36. research in the 21st Century. Frontiers in Ecology and the Environment, 5(7): 253–260; DOI:

37. 1890/070217.

38. Myneni, R.B., C.D. Keeling, C.J. Tucker, G. Asrar & R.R. Nemani (1997) Increased plant growth

39. in the northern high latitudes from 1981 to 1991. Nature, 386, 698–702.

40. Nefedova T. (2003). Rural Russia on the crossroad. Moscow: Novoe izdatel’stvo (in

41. Russian).

42. Nefedova T.G. (2005) Agrarian development of the Samara region in new market

43. conditions // Regional development: the view from the Samara region – leader among

44. Russian regions. Moscow, 165–174 (in Russian).

45. Olesen, J.E. & M. Bindi (2002). Consequences of climate change for European agricultural

46. productivity, land use and policy. European Journal of Agronomy, 16, 239–262.

47. Pallot, J. & T. Nefedova. (2007). Russia’s unknown agriculture: household production in

48. Post-Soviet Russia. Oxford: Oxford University Press.

49. Samara oblast’: from the industrial to the postindustrial economy. (2006) / eds. Grigoriev

50. L.M., Poletaev A.V., Titov K.A., Khasaev G.R. Moscow. Agriculrute (Nefedova T.G.), 285–317

51. (in Russian).

52. Schaaf, C., F. Gao, A. Strahler, W. Lucht, X. Li & T. Tsang (2002) First operational BRDF, albedo

53. and nadir reflectance product from MODIS. Remote Sensing of Environment, 83.

54. Tucker, C. J. (1979). Red and photographic infrared linear combinations for monitoring

55. vegetation. Remote Sensing of Environment, 8, 127–150.


For citation:


de Beurs K., Ioffe G., Nefedova T. AGRICULTURAL CHANGE IN THE RUSSIAN GRAIN BELT: A CASE STUDY OF SAMARA OBLAST. GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY. 2012;5(2):95-110. https://doi.org/10.24057/2071-9388-2012-5-2-95-110

Views: 222


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2071-9388 (Print)
ISSN 2542-1565 (Online)