基于葉綠素熒光的植被總初級生產力估算
[Abstract]:The total primary productivity of vegetation (Gross Primary Production, GPP) reflects the ecological system level. The amount of organic carbon fixed by the terrestrial plants through photosynthesis is the largest carbon flux in the world. It is also the driving force of multiple ecosystem functions. The precise grasp of the spatial and temporal dynamic characteristics of the terrestrial ecosystem GPP can not only deepen the ecology of the ecological system, but also deepen the ecology of the ecosystem. The mutual feedback interaction between the system and the climate system is of great significance for a comprehensive understanding of the carbon cycle and the formulation of climate change related policies. The sunlight induced chlorophyll fluorescence (Suninduced Chlorophyll Fluorescence, SIF), as a companion product of photosynthesis, is considered to be more suitable for photosynthesis than the traditional vegetation index. Active "indicator". Based on the SIF data set retrieved from satellite remote sensing data, it has been found that there is a strong linear relationship between GPP and SIF in different flora. It can provide a more direct remote sensing method for GPP estimation. However, the correlation of canopy scale GPP and SIF will be subjected to environmental stress, canopy structure and plant work. In view of the influence of energy type and other factors, there are still great uncertainties in the GPP-SIF remote sensing estimation model. In view of this, this paper has carried out the sensitivity analysis of the GPP-SIF correlation to the photosynthetic physiological response to the important basic scientific problems of the SIF based GPP remote sensing estimation model and uncertainty, and the capacity ratio of the different band fluorescence estimation of GPP. Compared with three aspects of global GPP simulation and evaluation based on SIF satellite remote sensing signals, the main research contents and conclusions are as follows: 1) this paper first explored the potential of SIF detection of photosynthetic carbon sequestration and the difference characteristics of the coupling relationship between different photosynthetic functional GPPSIF. Based on the GPP and SIF760 data of synchronous observation, we found that in the crop canopy G The daily variation of PP, SIF760 is in accordance with the effective radiation of incident light, which shows a trend of high noon, early and late, and SIF760 signals can track the diurnal variation of plant photosynthesis. In winter wheat (C3 crop) and summer corn (C4 crop) canopy, GPP and SIF760 have a significant linear correlation, and further affirms that SIF remote sensing signals can be used. The ability of GPP is estimated directly. However, because of C3, the fluorescence quantum yield of C4 crops is close to _F, but the light energy utilization ratio is quite different, which makes the linear slope of GPP-SIF760 in the C4 crop is 2.16 times that of C3 crops (if the C3 crop photosynthesis noon break is removed, the C4 slope is 1.82 times C3). Therefore, the empirical model based on SIF is applied. F) when estimating crop canopy GPP, we should first consider the differentiation of plant photosynthesis, establish the GPP estimation model of C3, C4 crop canopy,.2). The estimation potential of SIF to GPP in red and far red light bands is explored by combining simulation and observation experiments. Many theoretical research and observation experiments have found that red and far red light bands are found. There is a certain difference in the characterization of photosynthetic physiological state by green fluorescence, and there is a great difference in the absorption and scattering characteristics of the radiation transmission in the canopy, but at present, the chlorophyll fluorescence of these two bands is different for the estimation potential of GPP. We first use SCOPE (Soil-Canopy-Observation of Photosynthesis and the Energy balan). CE) simulated diurnal variation data sets of GPP, SIF760, SIF688 of winter wheat canopy with different chlorophyll density Cab and leaf area index LAI. The statistical analysis shows that the correlation between GPP and SIF760 can still be expressed with the same linear model with the changes of Cab and LAI, but the GPP-SIF688 linear relationship is more sensitive to Cab and SIF760. The deformation of the vegetation index (especially NDVI_ (rededge), CI_ (rededge) and NDVI * WDRVI_ (rededge)) can be used as a good approximation of the red light escape ratio f_ (ESC) (688), which inhibits the sensitivity of GPP-SIF688 correlation to Cab and LAI, and makes the estimation ability of the linear model of winter wheat canopy. P-SIF760 is equivalent. However, considering the inaccurate inversion of red light fluorescence and the strong reabsorption of the canopy, far red fluorescence can provide a more reliable method for monitoring ecosystem photosynthesis. This paper has carried out a global GPP estimation study based on SIF satellite remote sensing. Many studies have shown that chlorophyll fluorescence remote sensing can be used directly as a direct method. A new method for estimating GPP, but the global scale GPP estimation based on SIF satellite remote sensing is still very weak. Based on the shared data of GOME-2 SIF740 and FLUXNET, this paper establishes a GPP-SIF regression model in different vegetation types, and estimates the global GPPSIF data set for 2007-2014 years. By comparing with MODIS GPP products, two data sets are found. The GPPSIF product algorithm is simple and does not require the introduction of auxiliary meteorological data and vegetation index data. However, GPPSIF is subject to the availability of data quality and flux data, while GPPMOD is limited to the accuracy of the model input data. Two products are in evergreen broad-leaved forests, tropical savage trees There was a certain degree of uncertainty in the grassland and shrub forest area. In addition, we also compared the correlation between C3, C4 crop GPPEC and SIF satellite remote sensing signals on the landscape scale, and found that the linear slope of the C4 crop is 1.81 times the slope of the C3 crop, which is basically consistent with the ground experimental results. The GPP-SIF linear model of the landscape scale has the function of plant photosynthesis. It is also sensitive and further confirms that the spatial and temporal distribution of C3, C4 plants is very important for accurate estimation of global GPP. The main innovative contributions of this paper include: 1) the difference characteristics of GPP-SIF coupling relationship between C3 and C4 crops are clarified for the first time by theoretical deduction and experimental observation. The response to photosynthetic physiological response to GPP-SIF correlation is uncertain. The theoretical calculation method based on the photosynthetic electron transfer rate (ETR) model for the response difference between C3 and C4 vegetation GPP-SIF was established. It was found that the C4 crop GPP was 1 times higher than that of the C3 crop under the same fluorescence production, and the synchronous observation experiment of the GPP and SIF daily changes and the GOME-2 satellite temporal remote sensing experiment were carried out, and the SIF quantitative analysis of SIF was made. The application potential and difference characteristics in the GPP estimation of C3 and C4 crops, the experimental measurement and the theoretical derivation are in agreement with.2). The potential of estimating GPP in different bands of SIF is studied for the first time through the combination of model simulation and field experiment. Because the red light fluorescence is difficult to obtain, the applications of fluorescence remote sensing mainly focus on the far red fluorescence. Based on the diurnal data of the SCOPE simulated data and the spectral resolution of the QE Pro spectrometer with a spectral resolution of 0.3 nm, this paper evaluates the ability of red and far red fluorescence to estimate winter wheat canopy GPP. The results show that the effect of the far red light on the canopy structure is relatively small, and is more suitable for the estimation of GPP and the physiological monitoring of photosynthetic physiology that should be used for satellite scale. .3) established the GPP-SIF remote sensing estimation model of different vegetation cover types on satellite scale, and developed the GPP estimation product directly driven by SIF satellite remote sensing data for the first time. Although the method of direct estimation of GPP based on SIF has attracted much attention, there is no GPP product based on chlorophyll fluorescence in all sphere terrestrial ecosystem. 2007-2 The 014 year global terrestrial ecosystem GPPSIF data set has a high consistency with the spatio-temporal pattern of the MOD17 GPP products. Moreover, the algorithm is simple and the mechanism is clear. It does not need the aid of meteorological data and vegetation index products. It can avoid the uncertainty of the introduction of auxiliary data to a certain extent. This study is to better understand the different time and space scale G The correlation mechanism between PP and SIF provides a theoretical basis, the experimental basis and model method, and the terrestrial ecosystem GPP products based on SIF satellite remote sensing data can be used to analyze the photosynthetic function state and ecological service ability of different types of ecosystems, which will be of great significance to the global carbon cycle research.
【學位授予單位】:中國科學院大學(中國科學院遙感與數(shù)字地球研究所)
【學位級別】:博士
【學位授予年份】:2017
【分類號】:S127
【相似文獻】
相關期刊論文 前10條
1 蔡麗敏;董麗;;葉綠素熒光技術在園林植物中的應用[J];北方園藝;2007年03期
2 賢;用葉綠素熒光法預測作物寒害[J];福建農業(yè)科技;1987年06期
3 M. Havaux ,R. Lannoye ,周寬余;用葉綠素熒光試驗快速測定硬粒小麥栽培品種的抗旱性[J];麥類作物學報;1987年02期
4 陳貽竹;劉鴻先;;橡膠樹葉片在常溫和低溫(77K)下葉綠素熒光的研究[J];熱帶作物學報;1988年02期
5 李欽夫;李征明;紀建偉;鄒秋瀅;于輝;;葉綠素熒光動力學及在植物抗逆生理研究中的應用[J];湖北農業(yè)科學;2013年22期
6 趙會杰,鄒琦,于振文;葉綠素熒光分析技術及其在植物光合機理研究中的應用[J];河南農業(yè)大學學報;2000年03期
7 徐德聰;呂芳德;劉小陽;錢玉梅;袁維風;;葉綠素熒光測定技術的研究[J];安徽農業(yè)科學;2007年35期
8 王立豐;王紀坤;;葉綠素熒光動力學原理及在熱帶作物研究中的應用[J];熱帶農業(yè)科學;2013年11期
9 馮永軍,史寶勝,董桂敏,張芹;葉綠素熒光動力學在植物抗逆性及水果保鮮中的應用[J];河北農業(yè)大學學報;2003年S1期
10 溫國勝;田海濤;張明如;蔣文偉;;葉綠素熒光分析技術在林木培育中的應用[J];應用生態(tài)學報;2006年10期
相關會議論文 前10條
1 鐘傳飛;高志奎;姚洪軍;高榮孚;;植物穩(wěn)態(tài)葉綠素熒光動力學研究[A];紀念殷宏章先生百年誕辰暨全國光合作用學術研討會論文摘要匯編[C];2008年
2 毛大璋;林世青;翟小京;;活體葉綠素熒光測定術泛議[A];西部地區(qū)第二屆植物科學與開發(fā)學術討論會論文摘要集[C];2001年
3 葉濟宇;米華玲;;藍藻Synechocystis PCC6803在作用光關閉后葉綠素熒光發(fā)射的振蕩[A];全國植物光合作用、光生物學及其相關的分子生物學學術研討會論文摘要匯編[C];2001年
4 鄒琦;;逆境光合研究中的葉綠素熒光動力學技術——原理、應用及問題[A];2006年中國植物逆境生理生態(tài)與分子生物學學術研討會論文摘要匯編[C];2006年
5 司繼播;孫明;劉良云;;葉綠素熒光分析技術綜述[A];2007年中國農業(yè)工程學會學術年會論文摘要集[C];2007年
6 武寶s,
本文編號:2134535
本文鏈接:http://www.sikaile.net/wenyilunwen/huanjingshejilunwen/2134535.html