9 November 2004 Land-cover change, greenhouse gas emission, and climate change: a case study in the Three-River-Plain region of the Northeast China
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Abstract
Human-induced land-cover and land-use change (LCLUC) has a profound impact on the magnitude and dynamics of spatial and temporal patterns of greenhouse gas emissions and regional climate change in a wetland-dominated Amur River Basin, henceforth referred to as the Three-River-Plain (TRP) region, in Northeast China. The TRP region has the largest natural wetland extent in China. Drainage of wetlands and conversion from wetland into agriculture land use may be one of the primary reasons for the regional climate change. The region's temperature experienced two sudden increases in early 1970s and late 1980s and those changes were coincident with the time frames of large-scale agricultural reclamations. The TRP region warrants a significant regional study to answer questions such as “were human-induced LCLUC significant to affect the magnitude and spatial temporal greenhouse gas emissions and further responsible for regional climate change?” Integration of satellite remotely sensed land surface conditions and in situ measurements of greenhouse gas fluxes provide a reliable information source to study the spatial-temporal patterns of greenhouse gas emissions. Integration of remote sensing detected land-cover change and patterns of greenhouse gas fluxes associated with different land-cover types allows quantification of regional greenhouse gas emission and further studies the driving factors of regional climate change. Landsat and Moderate Resolution Imaging Spectroradiometer (MODIS) remote sensing data are necessary toward this effort.
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Yeqiao Wang, Yeqiao Wang, Shuwen Zhang, Shuwen Zhang, Ying Li, Ying Li, Xianguo Lu, Xianguo Lu, Dexuan Wang, Dexuan Wang, Jiansheng Yang, Jiansheng Yang, } "Land-cover change, greenhouse gas emission, and climate change: a case study in the Three-River-Plain region of the Northeast China", Proc. SPIE 5544, Remote Sensing and Modeling of Ecosystems for Sustainability, (9 November 2004); doi: 10.1117/12.563272; https://doi.org/10.1117/12.563272
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