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Original Articles

Remotely sensing the ecological influences of ditches in Zoige Peatland, eastern Tibetan Plateau

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Pages 5186-5197 | Received 17 Jan 2013, Accepted 06 Jun 2014, Published online: 17 Jul 2014
 

Abstract

Zoige Peatland in the eastern Tibetan Plateau, the largest alpine peatland in China, was widely ditched in 1970s for pasture expansion. The ditching is believed to have caused peatland degradation, but there is still no widespread agreement on this due to the absence of essential regional and temporal information about ditch drainage. Therefore, this study used both remote-sensing observations and field surveys to examine the ecological influences of ditching for this alpine peatland. In the study, ditch distribution was interpreted with remote-sensing imagery and the ecological responses were investigated with temporal observation by Moderate Resolution Imaging Spectroradiometer (MODIS) and field surveys. The results showed that there were ~1200 km ditches interpreted, mainly in three spatial patterns depending on hydro-geomorphologies. The MODIS enhanced vegetation index (EVI) was more sensitive to peatland surface water depth (R2 = 0.678, P < 0.001) than the normalized difference water index (NDWI) (R2 = 0.583, P < 0.001), because the latter would become saturated at a certain surface water depth (~50 cm in Zoige). The temporal MODIS imagery reflected the ecological responses of ditched peatland to drainage in terms of vegetation density and water conditions. This study indicated that ditching depressed the surface water depth of the Zoige Peatland in summer, but not to the extent of completely transforming peatland into steppe due to the recharging of local beneficial hydro-geomorphologies. The MODIS indices investigated in the study could be used to monitor the annual regional status of vegetation cover and surface water for Zoige peatland.

Funding

This work is financially supported by the National Key Basic Research Programme of China [grant number 2013CB036401], the National Natural Science Foundation of China [grant numbers 40801175, 40901022 and 41201214], and the Special Fund for Basic Scientific Research of Central Colleges, Sichuan University.

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