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Studying the vegetation response to simulated leakage of sequestered CO_2 using spectral vegetation indices

机译:利用光谱植被指数研究CO 2隔离泄漏对植被的响应

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Measurement of spectral reflectance provides a fast and nondestructive method of stress detection in vegetation. In this shallow subsurface CO_2 release experiment to simulate CO_2 leakage of geologically sequestered CO_2, the radiometric responses of plants to elevated soil CO_2 concentration were monitored using a spectroradiometer. Spectral responses included increased reflectance in the visible spectral region and decreased reflectance in the near-infrared region and thus an altered spectral pattern of vegetation. Visible responses of vegetation include purple discoloration and eventual death of leaves at sites where the soil CO_2 concentration was very high. Derivative analysis identified two features (minimum and maximum) in the 575-580nm and 720-723nm spectral regions. The normalized difference first derivative index (NFDI) was defined based on the spectral derivative at the two bands. Four vegetation indices were analyzed with the accumulated soil CO_2 concentration to assess the accumulated impact of high soil CO_2 concentration on vegetation. Results show that with increased soil CO_2 concentration due to the surface CO_2 leakage, (1) the structural independent pigment index (SIPI) increased, indicating a high carotenoid to chlorophyll ratio; (2) the chlorophyll normalized difference vegetation index (Chl NDI) decreased, suggesting a decrease in chlorophyll content with time; (3) pigment specific simple ratios (both PSSRa and PSSRb) were reduced for stressed vegetation compared to that at the control site, indicating a reduction in both chlorophyll a and chlorophyll b; and (4) NFDI was low where plants were stressed. Changes in NFDI during the experiment were 36% and 1% for stressed and control plants, respectively. All four indices were found to be sensitive to stress in vegetation induced by high soil CO_2 concentration.
机译:光谱反射率的测量提供了一种快速而无损的植被压力检测方法。在此模拟CO_2地质隔离的CO_2泄漏的浅地下CO_2释放实验中,使用分光辐射计监测了植物对土壤CO_2浓度升高的辐射响应。光谱响应包括可见光谱区域的反射率增加和近红外区域的反射率下降,从而改变了植被的光谱模式。可见的植被反应包括紫色变色和土壤CO_2浓度很高的地方最终叶片死亡。导数分析确定了575-580nm和720-723nm光谱区域的两个特征(最小和最大)。基于两个频带的光谱导数定义归一化差分一阶导数索引(NFDI)。利用累积的土壤CO_2浓度分析了四个植被指数,以评估高土壤CO_2浓度对植被的累积影响。结果表明,随着土壤CO_2浓度的增加,由于表面CO_2的泄漏,(1)结构独立色素指数(SIPI)升高,表明类胡萝卜素与叶绿素的比例较高; (2)叶绿素归一化植被指数(Chl NDI)下降,表明叶绿素含量随时间降低; (3)与对照相比,受胁迫的植被的色素特异性简单比率(PSSRa和PSSRb)均降低,表明叶绿素a和叶绿素b均降低; (4)在有植物胁迫的地方,NFDI较低。在实验过程中,胁迫植物和对照植物的NFDI变化分别为36%和1%。发现所有这四个指数对土壤CO_2浓度高诱导的植被胁迫敏感。

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