Preview

Proceedings of the Russian Geographical Society

Advanced search

Trajectories of land cover transformation in zonal types of landscapes of Indochina

https://doi.org/10.31857/S0869-607115141-14

Abstract

The article deals with the study of the land cover change of Indochina based on the MODIS Land Cover database for 2001-2012. Geospatial land cover data, which are objectively recorded land surface characteristics, are widely used for small-scale mapping of landscapes and ecological systems. The case region of Indochina was selected for the analysis of land cover transformation. In recent decades it has been undergoing active transformation of land use, associated with rapid economic development, substantial population growth, and reorientation of the agricultural sector to foreign markets. The processes of land cover change were studied within the boundaries of zonal types of landscapes, altitudinal zonality spectra, and groups of intrazonal landscapes. The density of changes is uneven in different zonal types of landscapes, the greatest range of transformations is characteristic to the deciduous monsoon forests, semi-evergreen forests (in the subequatorial belt), and within river valleys. The main trajectories of land cover change for 2001-2012 are as follows: 1) expansion of arable areas due to the reduction of forests, savannas and grasslands; 2) the likely increase in the area of perennial plantations (mainly rubber trees and oil palm); 3) forest degradation and spread of savannas; 4) fluctuations of land under shifting cultivation. Since the 2000s commercial production of perennial cash crops is the main cause of deforestation in the region. Land clearing for these needs could have a greater impact on forest cover than logging. The revealed features of land cover change for Indochina made it possible to specify the regional characteristics of the transformation processes as compared to global typology of land cover changes.

About the Authors

N. N. Alekseeva
Lomonosov Moscow State University
Russian Federation


O. A. Klimanova
Lomonosov Moscow State University
Russian Federation


D. A. Tretyachenko
Lomonosov Moscow State University
Russian Federation


A. I. Bancheva
Lomonosov Moscow State University
Russian Federation


References

1. Алексеева Н. Н., Климанова О. А. Современные ландшафтно-геоэкологические особенности тропиков и их глобальное значение // Изв. РГО. 2012. T. 144, вып. 3. С. 9-16.

2. Алексеева Н Н., Климанова О. А., Хазиева Е. С. Глобальные базы данных земельного покрова и перспективы их использования для картографирования современных ландшафтов // Известия РАН. Серия географическая. 2017. № 1. С. 110-123.

3. Войтунг Б., Алексеева Н. Н. Современное обезлесение горных районов Таиланда на основе изучения динамики землепользования // Вестник МГУ. Серия 5. География. 2015. № 3. C. 86-92.

4. Геоэкологическое состояние ландшафтов суши // География, общество, окружающая среда. Т. 2. Функционирование и современное состояние ландшафтов. Ч. 2. М.: Издательский дом «Городец», 2004.

5. Исаченко А. Г. Ландшафтная структура Земли, расселение, природопользование. СПб.: Изд-во Санкт-Петербургского университета., 2008. 320 с.

6. Исаченко А. Г. Методология ландшафтоведения и ландшафтно-географический научный метод // Изв. РГO. 2016. Т. 148, вып. 1. C. 15-30.

7. Климанова О. А., Третьяченко Д. А., Алексеева Н. Н., Аршинова М. А., Колбовский Е. Ю. Трансформация земельного покрова на глобальном уровне в 2001-2012 гг.: картографирование и анализ изменений // География и природные ресурсы. 2018. № 3. C. 5-13.

8. ArcAtlas «Our Earth». Электронный атлас «Наша Земля» (На компакт-диске CD-ROM). Redlands: 1996.

9. Channan S., Collins K., Emanuel W. R. Global mosaics of the standard MODIS land cover type data. Data Set. University of Maryland and the Pacific Northwest National Laboratory, College Park, Maryland, USA. 2014.

10. The World Factbook. [сайт]. CIA. URL: https://www.cia.gov/library/publications/the-world-factbook/geos/vm.html (дата обращения: 20.05.18).

11. Ellis E. C., Goldewijk K. K., Siebert S., Lightman D., Ramankutty N. Anthropogenic transformation of the biomes, 1700 to 2000 // Global Ecology and Biogeography. 2010. No. 19. P. 589-606.

12. Friedl M. A., McIver D. K., et al. Global land cover mapping from MODIS: Algorithms and early results // Remote Sensing of Environment. 2002. No. 1-2 (83). Р. 287-302.

13. Global Forest Assessment. Rome: FAO, 2015. Р. 253.

14. Greater Mekong Subregion. Core environment program [сайт]. URL: http://www.gms-eoc.org (дата обращения: 20.10.2017).

15. Hansen M. C., P. V. Potapov R. Moore M. Hancher et al. High-Resolution Global Maps of 21st-Century Forest Cover Change // Science. 2013, 342 (15 November). Р. 850-853.

16. Herold M., Mayaux P., Woodcock C. E., Baccini A., Schmullius C. Some challenges in global land cover mapping: An assessment of agreement and accuracy in existing 1 km datasets // Remote Sensing of Environment. 2008. No. 112. P. 2538-2556.

17. Klimanova O., Naumov F., Greenfieldt Yu., Prado R. B., Tretyachenko D. Recent regional trends of land use and land cover transformations in Brazil // Geography Environment Sustainability. 2017. V. 10, No. 4. P. 98-116.

18. Levers C., Müller D., Erb K. et al. Archetypical patterns and trajectories of land systems in Europe // Regional Environmental Change. 2018, March. Vol. 18. No. 3. Р. 715-732.

19. Metzger M. J., Bru D. J., Care P. D., Gonzalve J., Honrad J. P., Jongma R. H. G., Trabucco A., Zomer R. J. et al. Environmental stratifications as the basis for national, European and global ecological monitoring // Biodiversity Monitoring. 2012. http://dx.doi.org/10.1016/j.ecolind.2012.11.009.

20. Milleniun Ecosystems Assessment. Ecosystems and Human Well-being: Synthesis. Island Press, Washington, DC. 2005. 153 p.

21. Modelling land use change in Cameroon 2000-2030. A Report by the REDD-PAC project. 2010. 12 p.

22. MODIS Land Cover [сайт]. URL: http://glcf.umd.edu/data/lc/ (дата обращения: 20.06.2016).

23. Mucher C. A., Klijn J. A., Wascher D. M., Schamineʼe J. H. J. A new European Landscape Classification (LANMAP): A transparent, flexible and user-oriented methodology to distinguish landscapes // Ecological Indicators. 2010. No. 10. Р. 87-103.

24. Sayre R., Dangermond J., Frye C., et al. A New Map of Global Ecological Land Units - An Ecophysiographic Stratification Approach. Washington, DC: Association of American Geographers. 2014. 46 p.

25. Thailand. Global Forest Watch [сайт]. URL: (дата обращения: 20.06.2018).

26. Trisurat Y., Alkemade R., Verburg P. H. Projecting Land-Use Change and its Consequences for Biodiversity in Northern Thailand // Environmental Management. 2010. No. 45. Р. 626-639.

27. Tropek R., Sedláček O., Beck J., Keil P., Musilová Z., Šímová I., Storch D. Comment on «High-resolution global maps of 21st-century forest cover change» // Science. 30 May 2014. Vol. 344, Issue 6187.

28. Van Eetvelde V., Antrop M. A stepwise multi-scaled landscape typology and characterisation for trans-regional integration, applied on the federal state of Belgium // Landscape and Urban Planning. 2009. No. 91. P. 160-170.

29. Van T. T., Wilson N., Tung H. T., Quisthoudt K., Minh V. Q., Tuan L. X., Guebas F. D., Koedam N. Changes in mangrove vegetation area and character in a war and land use change affected region of Vietnam (Mui Ca Mau) over six decades // Acta Oecol. 2015. Vol. 63. Р. 71-81.

30. Zhang J., Pham Т., Kalacskac M., Turner S. Using Landsat Thematic Mapper records to map land cover change and the impacts of reforestation programmes in the borderlands of southeast Yunnan, China: 1990-2010 // Int. J. of Applied Earth Observation and Geoinformation. 2014. No. 31. Р. 25-36.

31. Zomer R. J., Trabucco A., Wang M., et al. Environmental stratification to model climate change impacts on biodiversity and rubber production in Xishuangbanna, Yunnan, China // Biological Conservation. 2014. No. 170. Р. 264-273.


Review

For citations:


Alekseeva N.N., Klimanova O.A., Tretyachenko D.A., Bancheva A.I. Trajectories of land cover transformation in zonal types of landscapes of Indochina. Proceedings of the Russian Geographical Society. 2019;151(4):1-14. (In Russ.) https://doi.org/10.31857/S0869-607115141-14

Views: 136


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


ISSN 0869-6071 (Print)