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太阳辐射对稻田甲烷排放的影响
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  • 英文篇名:Effects of solar radiation on CH_4 emission in paddy field
  • 作者:马莉 ; 娄运生 ; 李君 ; 李睿 ; 张震
  • 英文作者:MA Li;LOU Yun-sheng;LI Jun;LI Rui;ZHANG Zhen;Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology;Jiangsu Key Laboratory of Agricultural Meteorology, Nanjing University of Information Science and Technology;
  • 关键词:CH_4排放通量 ; 遮阴 ; 高光谱估算 ; 植被指数 ; 水稻
  • 英文关键词:CH_4 flux;;shading;;hyperspectral estimation;;vegetation index;;rice
  • 中文刊名:应用生态学报
  • 英文刊名:Chinese Journal of Applied Ecology
  • 机构:南京信息工程大学气象灾害预报预警与评估协同创新中心;南京信息工程大学江苏省农业气象重点实验室;
  • 出版日期:2019-08-15
  • 出版单位:应用生态学报
  • 年:2019
  • 期:08
  • 基金:国家自然科学基金项目(41875177,41375159);; 中国地质调查局地质调查项目(DD20190305)资助~~
  • 语种:中文;
  • 页:207-218
  • 页数:12
  • CN:21-1253/Q
  • ISSN:1001-9332
  • 分类号:S181
摘要
太阳辐射减弱是气候变化的主要特征之一,而太阳辐射减弱对稻田甲烷(CH_4)排放的影响尚不明确,且缺少高光谱遥感用于估算稻田CH_4排放的研究.通过田间模拟试验,研究了不同遮阴强度对稻田CH_4排放和水稻冠层光谱特征的影响,并基于冠层高光谱数据估算了CH_4排放通量.采用单因子试验设计,遮阴强度设3个水平,即对照(不遮阴,CK)、轻度遮阴(S_1,单层遮阴,遮阴率为60%)和重度遮阴(S_2,双层遮阴,遮阴率为84%).结果表明:与对照相比,遮阴明显降低了稻田CH_4排放,但重度遮阴下CH_4排放高于轻度遮阴;近红外波段水稻冠层反射率表现为CK>S_2>S_1;水稻冠层光谱反射率(699~1349 nm)与CH_4排放通量呈极显著正相关,最高相关系数达0.64,6种植被指数与CH_4排放通量也呈极显著相关,其中比值植被指数(RVI)与CH_4排放通量的相关系数最大,达0.84;建立了以RVI、归一化植被指数(NDVI)和507 nm原始反射率(ρ_(507))为参数估算CH_4排放通量的逐步回归模型,决定系数R~2分别为0.86和0.85,利用该模型可为开展区域稻田温室气体排放的遥感监测提供试验依据.
        Decrease in solar radiation is one of the main components of climate change. Studies aimed at examining the effects of decreased solar radiation on CH_4 emission and estimation of CH_4 emission based on hyperspectral data in paddy fields are still scarce. A field simulation experiment was conducted to investigate the effects of shading intensity on CH_4 emission in a paddy field and rice canopy hyperspectral properties. CH_4 emission flux was estimated with rice canopy hyperspectral data. The shading intensities were set at three levels, i.e. control(CK, no shading), light shading(S_1, 60% of shading rate), and heavy shading(S_2, 84% of shading rate). The results showed that shading significantly reduced CH_4 emission. However, CH_4 emission under heavy shading(S_2) was higher than that under light shading(S_1). The reflectance of the near-infrared spectrum on rice canopy from the jointing stage to grain filling stage was in the sequence of CK>S_2>S_1. The spectral reflectance on rice canopy was significantly and positively correlated with CH_4 flux in the near-infrared band(699-1349 nm), with a correlation coefficient of 0.64(P<0.01). The six vegetation indices were significantly correlated with CH_4 flux. The correlation coefficient between Ratio Vegetation Index(RVI) and CH_4 flux was the largest, with R~2=0.84(P<0.01). The stepwise regression model with RVI, Normalized Difference Vegetation Index(NDVI), and 507 nm original reflectance(ρ_(507)) parameters was the best one(fitting model R~2=0.86, prediction model R~2=0.85) for estimating CH_4 emission.
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