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Belowground carbon balance and carbon accumulation rate in the successional series of monsoon evergreen broad-leaved forest

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science China Earth sciences 2006年第3期49卷 311-321页

作者： ZHOu Guoyi1, ZHOu Cunyu1, LIu.s.uguang2. TANG Xuli1, OuYANG Xuejun1, ZHANG Deqiang1, LIu.s.izhong1, LIu Juxiu1, YAN Junhua1, ZHOu Chuanyan1, LuO Yan1, GuAN Lili1 & LIu Yan1 1. Dinghushan Forest Ecosystem Research station, Chinese Academy of sciences, Guangzhou 510650, China {2., {4. data Center, u.s. geological survey, sioux falls, sd 57198, usa 1. Dinghushan Forest Ecosystem Research station Chinese Academy of Sciences Guangzhou 510650 China 2. saic EROS Data Center U.S. Geological Survey Sioux Falls SD 57198 USA

The balance, accumulation rate and temporal dynamics of belowground carbon in the successional series of monsoon evergreen broadleaved forest are obtained in this paper, based on long-term observations to the soil organic matter, input and standing biomass of litter and coarse woody debris, and dissolved organic carbon carried in the hydrological process of subtropical climax forest ecosystem—monsoon evergreen broad-leaved forest, and its two successional forests of natural restoration—coniferous and broad-leaved mixed forest and Pinus massoniana forest, as well as data of root biomass obtained once every five years and respiration measurement of soil, litter and coarse woody debris respiration for 1 year. The major results include: the belowground carbon pools of monsoon evergreen broad-leaved forest, coniferous and broad-leaved mixed forest, and Pinus massoniana forest are 2.191 ± 2.38 g·m?2. 16889 ± 1936 g·m?2.and 12.80 ± 1854.g·m?2. respec- tively, in 2.02. Mean annual carbon accumulation rates of the three forest types during the 2.a from 1978 to 2.02.are 383 ± 97 g·m?2.a?1, 193 ± 85 g·m?2.a?1 and 2.3 ± 86 g·m?2.a?1, respectively. The belowground carbon pools in the three forest types keep increasing during the observation period, suggesting that belowground carbon pools are carbon sinks to the atmosphere. There are seasonal variations, namely, they are strong carbon sources from April to June, weak carbon sources from July to september; while they are strong carbon sinks from October to November, weak carbon sinks from December to March.

关键词： monsoon evergreen broad-leaved forest, successional series of restoration, belowground, carbon pool, accumulation rate.

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A spectral Index for Estimating soil salinity in the Yellow River Delta Region of China using EO-1 Hyperion data

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Pedosphere 2010年第3期20卷 378-388页

作者： WENG Yong-Ling GONG Peng ZHu Zhi-Liang Department of surveying and Mapping Engineering College of Transportation Southeast University Nanjing 210096(China) state Key Laboratory of Remote sensing science Institute of Remote Sensing Applications of the Chinese Academy ofSciences and Beijing Normal University Beijing 100101 (China) Department of Environment science Policy and Management University of California Berkeley CA 94720 (USA) eros data Center U.S. Geological Survey Sioux Falls SD 57198 (USA)

soil salinization is one of the most common land degradation processes. In this study, spectral measurements of saline soil samples collected from the Yellow River Delta region of China were conducted in laboratory and hyperspectral data were acquired from an EO-1 Hyperion sensor to quantitatively map soil salinity in the region. A soil salinity spectral index (ssI) was constructed from continuum-removed reflectance (CR-reflectance) at 2.52.and 2.03 nm, to analyze the spectral absorption features of the salt-affected soils. There existed a strong correlation (r = 0.91) between the ssI and soil salt content (ssC). Then, a model for estimation of ssC with ssI was established using univariate regression and validation of the model yielded a root mean square error (RMsE) of 0.986 and an R2.of 0.873. The model was applied to a Hyperion reflectance image on a pixel-by-pixel basis and the resulting quantitative salinity map was validated successfully with RMsE = 1.92. and R2.= 0.62.. These suggested that the satellite hyperspectral data had the potential for predicting ssC in a large area.

关键词： hyperspectral reflectance soil salt content spectral absorption features

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