Mapping wetland changes in China between 1978 and 2008

Niu, Zhenguo; Zhang, Haiying; Wang, Xianwei; Yao, Wenbo; Zhou, Demin; Zhao, Kun; Zhao, Hui; Li, Nana; Huang, Huabing; Li, CongCong; Yang, Jun; Liu, Caixia; Liu, Shuang; Wang, Lin; Zhan, Li; Yang, Zhenzhong; Qiao, Fei; Zheng, Yunpu; Chen, Yan-Lei; Sheng, Yongwei; Gao, Xinliang; Zhu, Wei; Wang, Wenqing; Wang, Hong; Weng, YongLing; Zhuang, Dafang; Liu, Jiyuan; Luo, Zhicai; Cheng, Xiao; Guo, Zhifang; Gong, Peng

doi:10.1007/s11434-012-5093-3

Cited by 264 publications

(183 citation statements)

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“…Based on the studies of Niu et al and Shangguan et al, the soil profiles, soil area data and the method of carbon density measurement have been supplemented and improved in this paper. The "1 : 100000-250000 China wetland remote sensing map" was updated to 2008 as the base year which contained 1442 pieces of CBERS (01/02B) images as a data source, and the accuracy reached 98% after artificial interpretation and field verification [45]. The soil organic carbon density measurement was carried out through the method of classification and layering.…”

Section: The Comparative Analysis Of Wetland Soil Organic Carbon Poolmentioning

confidence: 99%

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Preliminary estimation of the organic carbon pool in China’s wetlands

et al. 2012

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Section: The Comparative Analysis Of Wetland Soil Organic Carbon Poolmentioning

confidence: 99%

“…Thus the effects of spatial heterogeneity of wetland soils were ignored. Also, wetlands have been subject to different levels of human disturbance in the past 30 years [3,45].…”

Section: Uncertainty Issuesmentioning

confidence: 99%

Preliminary estimation of the organic carbon pool in China’s wetlands

et al. 2012

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“…We used the remote sensing data of Niu, who developed gridded wetland maps for 1978,1990,2000, and 2008 with a resolution of 1 km × 1 km [15]. The initial gridded wetland map for 1950 was estimated based on remote sensing data from 1978 [15] and the census The gridded input data sets for the model framework are related to climate, soil, vegetation, and hydrology. For the TEM model, climate datasets from 1950 to 2010 were developed using the latest monthly air temperature, precipitation, vapor pressure, and cloudiness datasets from the Climatic Research Unit (CRU TS 3.10) of the University of East Anglia in the United Kingdom [50].…”

Section: Data Sourcesmentioning

confidence: 99%

Modeling CH4 Emissions from Natural Wetlands on the Tibetan Plateau over the Past 60 Years: Influence of Climate Change and Wetland Loss

Zhang

Zou

et al. 2016

Atmosphere

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Abstract:The natural wetlands of the Tibetan Plateau (TP) are considered to be an important natural source of methane (CH 4 ) to the atmosphere. The long-term variation in CH 4 associated with climate change and wetland loss is still largely unknown. From 1950 to 2010, CH 4 emissions over the TP were analyzed using a model framework that integrates CH4MOD wetland , TOPMODEL, and TEM models. Our simulation revealed a total increase of 15% in CH 4 fluxes, from 6.1 g m´2 year´1 to 7.0 g m´2 year´1. This change was primarily induced by increases in temperature and precipitation. Although climate change has accelerated CH 4 fluxes, the total amount of regional CH 4 emissions decreased by approximately 20% (0.06 Tg-i.e., from 0.28 Tg in the 1950s to 0.22 Tg in the 2000s), due to the loss of 1.41 million ha of wetland. Spatially, both CH 4 fluxes and regional CH 4 emissions showed a decreasing trend from the southeast to the northwest of the study area. Lower CH 4 emissions occurred in the northwestern Plateau, while the highest emissions occurred in the eastern edge. Overall, our results highlighted the fact that wetland loss decreased the CH 4 emissions by approximately 20%, even though climate change has accelerated the overall CH 4 emission rates over the last six decades.

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“…Along the line of wetland mapping, Niu et al [50] Soon a large number of wetland protection areas have been established. The wetland change data set enabled the assessment of protection efficacy of 91 national wetland reserves [51].…”

Section: Progress In Remote Sensing Of Environmental Change Over Chinamentioning

confidence: 99%

“…This needs to be strengthened. Papers in this special collection have strong implication with environmental policy making and terrestrial planning [49,50,53,54,65].…”

Section: Perspectivesmentioning

confidence: 99%