Agriculture Development-induced Surface Albedo Changes and Climatic Implications Across Northeastern China
- Publish Date: 2012-04-30
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Key words:
- surface albedo /
- land cover change /
- climatic effects /
- last 300 years /
- northeastern China
Abstract: To improve the understandings on regional climatic effects of past human-induced land cover changes, the surface albedo
changes caused by conversions from natural vegetation to cropland were estimated across northeastern China over the last 300 years,
and its climatic effects were simulated by using the Weather Research and Forecasting (WRF) model. Essential natural vegetation records
compiled from historical documents and regional optimal surface albedo dataset were used. The results show that the surface albedo
decreased by 0.01–0.03 due to conversions from grassland to cropland in the Northeast China Plain and it increased by 0.005–0.015 due
to conversions from forests to cropland in the surrounding mountains. As a consequence, in the Northeast China Plain, the surface net
radiation increased by 4–8 W/m2, 2–5 W/m2, and 1–3 W/m2, and the climate was therefore warmed by 0.1℃–0.2℃、0.1℃–0.2℃、0.1
℃–0.3℃ in the spring, autumn and winter, respectively. In the surrounding mountain area, the net radiation decreased by less than 1.5
W/m2, and the climate was therefore cooled too slight to be detected. In summer, effects of surface albedo changes on climate were
closely associated with moisture dynamics, such as evapotranspiration and cloud, instead of being merely determined by surface radiation
budget. The simulated summer climatic effects have large uncertainties. These findings demonstrate that surface albedo changes
resulted in warming climate effects in the non-rainy seasons in Northeast China Plain through surface radiation processes while the
climatic effects in summer could hardly be concluded so far.
Citation: | ZHANG Xuezhen, WANG Wei-Chyung, FANG Xiuqi, et al.. Agriculture Development-induced Surface Albedo Changes and Climatic Implications Across Northeastern China[J]. Chinese Geographical Science, 2012, 22(3): 264-277. |