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Geographical characteristics of China’s wetlands derived from remotely sensed data

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Abstract

In this paper, we report the first wetland mapping of the entire China using Landsat enhanced thematic mapper plus (ETM+) data. These data were obtained from the Global Land Cover Facility at the University of Maryland spanning from 1999 to 2002. A total of 597 scenes of Landsat images were georeferenced and mosaiced. Manual image interpretation of satellite images was aided with elevation data, soil data, land cover/land use data and Google Earth. The minimum mapping unit is 10 pixel × 10 pixel, equivalent to 9 ha. The aim of our first round of mapping was only targeted at the boundary delineation of any type of wetland except those wetlands that are under agricultural use (i.e., paddy fields), which has already been well mapped by others. Our interpretation results indicate that a total of 359478 km2 of wetlands are of non-agricultural use. Among our preliminarily mapped wetland, 339353 km2 are inland wetland, 2786 km2 are non-agricultural artificial wetland, and 17609 km2 are coastal wetland. Because low-tide is rarely captured in satellite images, an under-estimation of coastal wetland is inevitable. We conducted some statistics based on our mapped wetlands and compared them with those previously obtained from a number of sources including a land cover/land use map made with satellite images during the late 1990s and early 2000s, a marshland map developed in approximately the same period, survey data of coastal wetland in early 1980s, and area data for approximately 400 larger patches of marshland in China compiled in 1996. Because some inconsistencies exist in the guidelines of those different wetland surveys, difference in area is expected. Some further comparison indicates that the wetland distributions derived from the preliminary wetland map are reasonable and more objective than other sources. The mapping process also indicated that the method adopted by us was efficient and cost-effective. We also found that in order to ensure comparability of the wetland maps developed at different times, a set of standard guidelines on the wetland categories to be mapped, and the mapping methods to be used must be well conceived, developed and effectively employed. We carried out some initial geographical analysis on the distribution of wetlands.

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References

  1. Mitsch W J, Gosselink, J G. Wetlands. New York: John Wiley & Sons, 1993

    Google Scholar 

  2. Brinson M M, Malvarez A I. Temperate freshwater wetlands: Types, status, and threats. Environ Cons, 2002, 29(2): 115–133

    Google Scholar 

  3. Dahl T E. Wetlands Losses in the United States 1780’s to 1980’s. US Department of the Interior. Washington, D.C: Fish and Wildlife Service, 1990

    Google Scholar 

  4. Davidson N C, Laffoley D, Doody J P, et al. Nature Conservation and Estuaries in Great Britain. Peterborough Nature Conservancy Council, 1991

  5. Hou W, Kuang W H, Zhang S W, et al. Analysis of cultivated land reclamation process and the ecological effects in north of Sanjiang Plain from 1950’s (in Chinese). Ecol Environ, 2006, 15(4): 752–756

    Google Scholar 

  6. Johnson R M, Barson M M. Remote-sensing of Australian wetlands: An evaluation of Landsat TM data for inventory and clas- sification. Australian J Mar Freshwater Res, 1993, 44(2): 235–252

    Article  Google Scholar 

  7. Toyra J, Pietroniro A. Towards operational monitoring of a northern wetland using geomatics-based techniques. Remote Sens Environ, 1997, (2): 174–191

  8. Wright C, Gallant A. Improved wetland remote sensing in Yellowstone National Park using classification trees to combine TM imagery and ancillary environmental data. Remote Sens Environ, 2007, 107(4): 582–605

    Article  Google Scholar 

  9. Liu H Y, Lue X G. Study on classification system of middle scale landscape ecology mapping in the Sanjiang Plain (in Chinese). Sci Geogr Sin, 1999, 19: 432–436

    Google Scholar 

  10. Zhang B. Application of remote sensing technology on research of the wetland in China (in Chinese). Remote Sens Tech Appl, 1996, 11: 68–711

    Google Scholar 

  11. Wilen B O, Bates M K. The US-Fish-and-Wildlife Services National Wetland Inventory Project. Vegetatio, 1995, 118(1–2): 153–169

    Article  Google Scholar 

  12. Zhang S Q. Introduction of marsh database in China (in Chinese). Geogr Sci, 2002, (2): 189

  13. Ramsar Convention Implementing Office of State Forestry Administration, P. R. China. Guide on Implementing Ramsar Convention in China (in Chinese). Beijing: China Forestry Press, 2001. 16–17

    Google Scholar 

  14. Semeniuk C A, Semeniuk V. A geomorphic approach to global classification for inland wetlands. Vegetatio, 1995, 118: 103–124

    Article  Google Scholar 

  15. Cowardin L M, Carter V, Golet F C, et al. Classification of wetlands and deepwater habitats of the United States. U. S. Department of the Interior, Fish and Wildlife Service, Washington, D.C. Jamestown, ND: Northern Prairie Wildlife Research Center Home Page. http://www.npwrc.usgs.gov/resource/1998/classwet/classwet.htm (Version 04DEC98)

  16. Cowardin L M, Golet F C. US-Fish-and-Wildlife-Service 1979 Wetland Classification-A Review. Plant Ecol, 1995, 118(1–2): 139–152

    Article  Google Scholar 

  17. Scott D A, Jones T A. Classification and inventory of wetlands: A global overview. Vegetatio, 1995, 118: 3–16

    Article  Google Scholar 

  18. Kwi-Gon, Mi-Young Park, Hee-Sun Choi. Developing a wetland-type classification system in the Republic of Korea. Landscape Ecol Eng, 2006, 2: 93–110

    Article  Google Scholar 

  19. Pressey R L, Adam R. A review of wetland inventory and classification in Australia. Vegetatio, 1995, 118: 81–101

    Article  Google Scholar 

  20. Shaw S P. Fredine C G. Wetlands of the United States Their Extent, and Their Value for Waterfowl and Other Wildlife. U.S. Department of Interior. Washington D C: Fish and Wildlife Service, circular 39, 1956. 67

    Google Scholar 

  21. Gopal B, Sah M. Inventory and classification of wetlands in India. Vegetatio, 1995, 118: 39–48

    Article  Google Scholar 

  22. Liu H T. Definition and types of wetland (in Chinese). Chinese J Ecol, 1995, 14: 73–77

    Google Scholar 

  23. National Wetlands Working Group. The Canadian Wetland Classification System, 2nd ed. Wetlands Research Centre. Ontario: University of Waterloo, 1997

    Google Scholar 

  24. Ni J R, Yin K Q, Zhao Z J. Comprehensive classification for wetlands: I classification (in Chinese). J Nat Res, 1998, 13

  25. Tang X P, Huang G L. Study on classification system for wetland types in China (in Chinese). Forest Res, 2003, 16: 531–539

    Google Scholar 

  26. Liu Z G, Ma X H. Classification of wetland (in Chinese). Wetland Sci Manag, 2006, 2: 60–63

    Google Scholar 

  27. Chen J W, Huang G L. Research of wetland classification system and indexes in China (in Chinese). Manag Forestry Res, 1995, (5): 65–71

  28. Ozesmi S L, Bauer M. Satellite remote sensing of wetlands. Wetlands Ecol Manag, 2002, 10: 381–402

    Article  Google Scholar 

  29. Yang B G, Wang Y, Zhu D K. The tidal flat resource of China (in Chinese). J Nat Res, 1997, 12(4): 307–316

    Google Scholar 

  30. Lei K, Zhang M X. The wetland resources in China and the conservation Advices (in Chinese). Wetland Sci, 2005, 3(2): 81–86

    Google Scholar 

  31. Lu J J. Ecological significance and classification of Chinese wetlands. Vegetatio, 1995, 118: 49–56

    Article  Google Scholar 

  32. Zhao K Y. Chinese Marshes (in Chinese). Beijing: Science Press, 1999

    Google Scholar 

  33. Lu J J. China Wetland. Shanghai: East China Normal University Press, 1990

    Google Scholar 

  34. Chen J, Lu L Y. Ining status and the resources sustainable using Discuss of the tidal flat in Jiangsu (in Chinese). Mar Sci, 2001, 25(10): 23–25

    Article  Google Scholar 

  35. Liu Y Z, Wu C L, Ma X. Studies on the development and utilization of shoal land in Jiangsu province (in Chinese). J China Agricul Res Reg Plan, 2004, 25(3): 6–9

    Google Scholar 

  36. Chen J W, Mei A X, Yuan J H. Using of land resources in Shanghai in consideration of seashore beach changes (in Chinese). Shanghai Geol, 2005, (9): 18–21

  37. Shi X Z, Yu D S, Warner E D, et al. A framework for the 1:1000000 Soil Database of China. In: Proceedings of the 17th World Congress of Soil Science, Bangkok. 2002, 1757(1–5)

  38. International Panel on Climate Change. Land-use, land-use change, and forestry. In: Watson R T, Noble I R, Bolin B, et al, eds. Land-use, Land-use Change, and Forestry: A Special Report of the Intergovernmental Panel on Climate Change (IPCC). Cambridge: Cambridge University Press, 2000. 1–51

    Google Scholar 

  39. Wang S Q, Zhou C H. Estimating soil carbon reservoir of terrestrial ecosystem in China (in Chinese). Geogr Res, 1999, 18(4): 349–356

    Google Scholar 

  40. Yu D S, Shi X Z, Wang H J, et al. Regional patterns of soil organic carbon stocks in China. J Environ Manag, 2007, 85: 680–689

    Article  Google Scholar 

  41. Liu Y H, Niu Z. Regional land cover image classification and accuracy evaluation using MODIS data. Remote Sens Tech Appl, 2004, (25): 217–224

  42. Shi X Z, Yu D S, Warner E D. Cross-Reference System for Translating Between Genetic Soil Classification of China and Soil Taxonomy. Soil Sci Soc Am J, 2006, 70: 78–83

    Article  Google Scholar 

  43. Hou X Y. Vegetation Atlas of China (in Chinese). Beijing: Science Press, 2001

    Google Scholar 

Download references

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Correspondence to Peng Gong.

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Supported by National High-Tech Research and Development Plan (Grant No. 2006AA12Z112) and the National Science & Technology Pillar Program (Grant No. 2006BAJ10B02)

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Niu, Z., Gong, P., Cheng, X. et al. Geographical characteristics of China’s wetlands derived from remotely sensed data. Sci. China Ser. D-Earth Sci. 52, 723–738 (2009). https://doi.org/10.1007/s11430-009-0075-2

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