Spatial distribution of greenhouse gas concentrations in arid and semi-arid regions : A case study in East Asia

Guo, M.; Wang, X.-F.; Li, J.; Yi, K.-P.; Zhong, G.-S.; Wang, H.-M.; Tani, H.

Spatial distribution of greenhouse gas concentrations in arid and semi-arid regions : A case study in East Asia

Guo, M.; Wang, X.-F.; Li, J. et al.

Journal of Arid Environments, 2013, 91, 119-128

Permalink : https://hdl.handle.net/2115/52602

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アクセス権	open access
URI	https://hdl.handle.net/2115/52602
タイトル	Spatial distribution of greenhouse gas concentrations in arid and semi-arid regions : A case study in East Asia
著者	Guo, M. ; Wang, X.-F. ; Li, J. ; Yi, K.-P. ; Zhong, G.-S. ; Wang, H.-M. ; Tani, H.
著者名 Guo, M.
著者名 Wang, X.-F.
著者名 Li, J.
著者名 Yi, K.-P.
著者名 Zhong, G.-S.
著者名 Wang, H.-M.
著者名 Tani, H.
言語	英語
キーワード	Climate change
	East Asia
	GHG concentrations
	Land degradation
	Spatial distribution
発行日	2013-04
出版者	Elsevier
収録物名	Journal of Arid Environments
巻(号)	91
ページ	119-128
抄録	Land degradation and global warming are currently highly active research topics. Land degradation can both change land cover and surface climate and significantly influence atmospheric circulation. Researches have verified that carbon dioxide (CO2) and methane (CH4) are major greenhouse gases (GHG) in the atmosphere and are directly affected by human activity. However, to date, there is no research on the spatial distribution of GHG concentrations and also no research on how land degradations affect GHG concentrations in arid and semi-arid regions. In this study, we used GHG data from the ENVIronment SATellite (ENVISAT) and the Greenhouse gases Observing Satellite (GOSAT), the Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST) data from the MODerate resolution Imaging Spectroradiometer (MODIS) and precipitation data from ground stations to analyze the way land degradation affects GHG concentrations in northern China and Mongolia, which exhibit the most serious land degradation process in East Asia. Our research revealed that the CO2 and CH4 concentrations (XCO2 and XCH4) increased from 2003 to 2009 and then decreased into 2011. We used geostatistics to predict and simulate the spatial distribution of XCO2 and XCH4 and found that the distribution of XCO2 displays a seasonal trend and is primarily affected by plant photosynthesis, soil respiration and precipitation. As the distribution of XCH4 is mainly affected by the sources' distribution, microbial processes, LST and submarine hydrate, the CH4 concentration presents no obvious seasonal changes and the high XCH4 values are primarily found in northeast and southeast China. Land degradation increases the concentration of GHG: the correlation coefficient between NDVI and XCO2 is R2 = 0.76 (P < 0.01) and the value between NDVI and XCH4 is R2 = 0.75 (P < 0.01).
資源タイプ	学術雑誌論文
出版タイプ	Accepted Manuscript
PISSN	0140-1963
関連情報 (isVersionOf)	出版社版DOI https://doi.org/10.1016/j.jaridenv.2013.01.001