亚热带典型常绿阔叶树种叶片叶绿素含量与其高光谱特征间的关系

叶绿素在植物的生理生态过程中非常重要.利用高光谱数据,揭示光谱反射率上特征光谱与叶绿素含量间的关系将有助于理解叶绿素光谱反射特征的规律.选取了6种亚热带常绿阔叶树种,抽取一定数量的叶片样品,分别测量了叶片的光谱反射率及其叶绿素含量,并建立了光谱反射率曲线上的红边位置附近的光谱反射率和叶绿素总量间的回归模型.结果显示:对所研究的树种而言,红边位置处一窄波长范围内的平均光谱反射率与叶绿素总量间的相关性普遍较高,回归效果显著.从高光谱遥感的角度结合植物的生理生态特点分析了其机理.建立的有关红边位置处的光谱反射率与叶绿素总量间的回归模型普遍具有较高的拟合度,其应用前景较好.     

冠层水平互花米草叶片光合色素含量的高光谱遥感估算模型

以闽江河口鳝鱼滩湿地互花米草(Spartina alterniflora)的实测冠层高光谱反射率和叶片光合色素含量(LPPC)为数据源,在分析LPPC与原始光谱反射率、一阶导数光谱反射率、22种已报道光谱指数和14种新构建的植被指数相关性的基础上,利用直线回归、指数回归、对数回归以及乘幂回归方法,系统地比较了36种植被指数在估算互花米草LPPC中的表现。研究表明:(1)一阶导数光谱反射率组合的植被指数用于估算互花米草的LPPC优于原始光谱反射率;(2)红边区域一阶导数光谱是估测互花米草LPPC的最佳波段;(3)对于单一色素含量的估算,叶绿素a(Chla)的最佳估算指数为FDNDVI[723,703];叶绿素b(Chlb)的最佳估算指数为FDRVI[723,525];类胡萝卜素(Cars)的最佳估算指数为FDNDVI[723,703];(4)对于使用统一参量同时估算Chla、Chlb、Cars,由FDRVI[723,703]建立的对数估算模型效果最佳。研究成果可为湿地植物生化参量反演提供参考,也可为闽江河口湿地入侵种互花米草的动态监测和生态评估管理提供有力的科学依据。     

芦苇粉大尾蚜虫害下芦苇叶绿素高光谱反演估算

叶绿素含量是表征芦苇虫害胁迫状态的一个重要指示因子。选取遭受芦苇粉大尾蚜(Hyalopterus pruni)虫害的芦苇(Phragmites australis)作为研究对象,用便携式地物光谱仪ASD FieldSpec 4测定其叶片反射率光谱,同时用SPAD-502 Plus叶绿素测量仪测定其叶绿素相对含量(SPAD),分析健康和虫害芦苇叶片高光谱反射率与叶绿素含量间的相关关系,采用一元线性回归和偏最小二乘法回归方法,建立芦苇叶绿素含量红边位置和全波段高光谱反演估算模型。结果表明:健康芦苇叶片反射率高于虫害叶片,两种叶片叶绿素含量与高光谱的相关性存在显著差异,尤其在绿光波段和近红外波段部分区域(1400~2500nm)表现明显;全波段高光谱估算模型具有较高的准确性,健康叶片回归模型的决定系数(R2)为0.965,均方根误差(RMSE)为0.813,预测偏差比率(RPD)为3.940;虫害叶片回归模型的R2为0.966,RMSE为0.989,RPD为3.855;异地验证结果进一步表明,通过高光谱数据全波段反演能较好地估算芦苇粉大尾蚜虫害下芦苇叶绿素相对含量,这也预示着利用高光谱全波段数据估算虫害植被叶绿素相对含量是可行的。     

淹水胁迫下棉花叶片高光谱特征及叶绿素含量估算模型

为即时监测淹水胁迫下棉花功能叶叶绿素含量,确立叶绿素含量与单叶光谱特征参数的定量关系,本文以遮雨棚内蕾期淹水胁迫下的盆栽棉花为研究对象,淹水后每 3 d对棉花叶片进行测定、取样,综合分析叶绿素含量与高光谱特征参数的相关性,并构建和验证叶绿素含量的估算模型.结果表明: 随着淹水胁迫程度的加重,叶片叶绿素含量下降;叶片原始光谱反射率、一阶微分光谱反射率分别在580、697 nm波段附近与叶绿素含量呈显著负相关;利用差值指数和归一化指数建立的估算模型优于单波段线性模型,其中以植被指数(DR₆₉₇-DR₇₃₈)/(DR₆₉₇+DR₇₃₈)为自变量建立的模型棉花单叶叶绿素含量估算值与实测值拟合度最好,拟合系数为0.814,可用于淹水胁迫下棉花单叶叶绿素含量的估测.     

基于光谱指数的植物叶片叶绿素含量的估算模型

叶绿素是光合作用能力和植被发育阶段的指示器,是监测湿地植被生长健康状况的重要指标之一;高光谱遥感技术可以为植物叶绿素含量的定量化诊断提供简便有效、非破坏性的数据采集和处理方法。为保证被探测叶片面积相同,消除背景反射、叶片表面弯曲造成的光谱波动及叶片内部变异造成的影响,研究采用Field Spec 3光谱仪加载手持叶夹式叶片光谱探测器,测定野鸭湖湿地典型植物的叶片高光谱反射率数据,同时通过分光光度计室内测定相应叶片的叶绿素含量。采用相关性及单变量线性拟合分析技术,建立二者的关系模型,包括叶绿素含量与"三边"参数的相关模型以及比值光谱指数(SR)模型和归一化差值光谱指数(ND)模型,并采用交叉检验中的3K-CV方法对估算模型进行模型精度检验。结果表明:植物叶片叶绿素含量与"三边"参数大多都呈极显著相关,相关系数最大达到0.867;计算光谱反射率组成的比值(SR)和归一化(ND)光谱指数与叶绿素含量的决定系数,总体相关性比较高,较好的波段组合均为550—700nm与700—1400nm以及550—700nm与1600—1900nm,与叶绿素含量相关性最好的指数分别是SR(565nm,740nm)和ND(565nm,735nm)。并通过选取相关性最佳的光谱特征参数,分别基于"三边"参数和ND模型指数构建了植物叶片叶绿素含量的估算模型。其中,基于红边位置(WP_r)光谱特征参数和ND(565nm,735nm)光谱指数建立的叶绿素含量估算模型,取得了较好的测试效果,检验拟合方程的决定系数(R2)都达到0.8以上,估算模型分别为y=0.113x-78.74,y=5.5762x+4.4828。通过3K-CV方法进行测试和检验,植物叶绿素含量估算模型均取得了较为理想的预测精度,预测精度的分别为93.9%及90.7%。高光谱遥感技术对植被进行微弱光谱差异的定量分析,在植被遥感研究与应用中表现出强大优势,为植物叶绿素含量诊断中的实际应用提供了重要的理论依据和技术支持。     

不同灌溉量夏玉米叶绿素含量的高光谱特征及其反演

植物叶绿素含量直接影响其光合作用,并与植物的光谱特征密切相关。以夏玉米为研究对象,采用人工控水方法研究了夏玉米七叶期不同灌溉量下冠层叶绿素含量特征及其与光谱特征之间的关系。结果表明：灌溉量越少,夏玉米叶片叶绿素含量越低,冠层光谱反射率越高,绿峰位置"红移",而红边位置"蓝移"。叶绿素含量与光谱特征参数、植被光谱指数之间存在极显著相关关系,据此建立了冠层叶绿素含量高光谱估算模型,且基于植被指数模型较基于单一光谱特征参数模型模拟效果更好。研究结果可为夏玉米叶绿素含量的快速无损测定以及夏玉米干旱监测提供依据。     

穿透雨减少下锐齿栎叶片光合色素季节动态及其反射光谱响应

通过林地穿透雨排除的方法模拟降雨减少,测定河南宝天曼自然保护区锐齿栎叶片光合色素含量与反射光谱的季节变化,对减雨处理造成的光合色素变化及其反射光谱的变化进行了定量分析,并探讨了水分控制条件下反射光谱对叶片光合色素变化的响应机制.结果表明: 锐齿栎叶片的光合色素含量和色素比率均呈现明显的季节变化.减雨样地与对照样地叶片的光合色素含量和比率在生长季的各个时期存在差异,其中,叶片叶绿素b(Chl b)含量的差异显著,说明Chl b对减雨处理的敏感性最高,叶片类胡萝卜素(Car)含量的差异较小,说明Car对减雨处理的敏感性相对较弱.550 nm处的光谱反射率对色素季节变化的响应最敏感,以其构造的简单比值指数(SR_750,550)与叶片Chl a、Chl b、总Chl和Car含量的正相关关系显著,光化学反射指数(PRI)与叶片Car/Chl的负相关关系显著.550 nm处的光谱反射率对减雨处理造成的色素变化响应最为敏感.SR_750,550对减雨处理造成的叶片Chl a、Chl b和总Chl的含量变化表现敏感(P<0.01),对Chl a/b的变化不敏感.PRI对减雨处理造成的叶片Car/Chl变化表现敏感(P<0.01).     

互花米草与芦苇光合色素含量对淹水措施的响应

以上海崇明东滩入侵植物互花米草与本地种芦苇为研究对象,研究持续淹水胁迫对两种植物光合色素含量的影响.结果表明：互花米草与芦苇叶片的光合色素基本组成与含量不同,对持续淹水的响应也不同.在持续淹水胁迫下,互花米草叶绿素a、叶绿素b及类胡萝卜素含量降低,叶绿素a／b、类胡萝卜素／叶绿素值提高;芦苇各色素含量升高,叶绿素a／b、类胡萝卜素/叶绿素值基本保持稳定.解除持续淹水胁迫后,互花米草各色素含量逐渐升高,叶绿素a／b、类胡萝卜素／叶绿素值降低,并逐渐接近对照水平;而芦苇各色素含量显著高于对照.两种植物均表现出一定的补偿效应,但芦苇比互花米草更能适应同等程度的持续淹水胁迫.应用持续淹水措施治理互花米草时,可采用本地种芦苇作为治理后湿地恢复的替代植物.     

臭氧胁迫冬小麦叶片高光谱特征和叶绿素含量估算

为无损、快速监测臭氧胁迫下冬小麦叶片叶绿素含量，建立叶绿素含量与光谱指标的定量关系，基于自由式臭氧浓度增加系统平台观测了臭氧浓度升高下拔节期、开花期及灌浆期冬小麦叶片的叶绿素含量和光谱特征。通过线性回归、人工神经网络(ANN)以及偏最小二乘回归(PLSR)模型对臭氧胁迫下叶片高光谱特征进行了叶绿素含量的估算。结果表明：臭氧胁迫冬小麦叶片的光谱曲线特征出现绿峰“红移”和红边位置“蓝移”现象。相比于拔节期和开花期，小麦叶片在灌浆期受到臭氧的影响更大。臭氧胁迫下叶绿素含量与部分光谱特征参数及遥感植被指数存在显著相关关系，所有模型均取得了较高的估算精度(R²>0.8),其中以光谱特征参数为建模参量的偏最小二乘回归模型精度最高。该方法可用于臭氧胁迫下冬小麦叶片叶绿素含量的估测，动态监测作物的臭氧胁迫。     

基于机载高光谱影像的植被冠层叶绿素反演

利用黑龙江省伊春市带领区凉水国家级自然保护区机载高光谱数据,提取了红边面积、三角形植被指数、归一化植被指数等15个光谱参数,结合坡度、坡向、海拔、郁闭度和植被总盖度5个地理参数,并利用叶绿素计SPAD-502对研究区植被冠层叶绿素相对含量进行同步测量,分析了叶片光谱反射率、反射率的一阶导数及其他变形分别与SPAD值的相关性,采用基于核变换的偏最小二乘原理建立了叶绿素相对含量的估测模型,用该模型对研究区植被冠层叶绿素相对含量进行定量估算.结果表明:当分段数为3、提取的主成分数为10时,所建模型的效果较好,模型决定系数达到0.855,平均绝对百分误差为9.6％,预测精度为89.7％.     

水稻氮素营养高光谱遥感诊断模型

对水稻氮素含量与原始光谱反射率、一阶微分光谱以及高光谱特征参数间的相关性进行了分析,并构建和验证了以遥感参数为自变量的水稻氮素营养诊断模型.结果表明：氮素含量在水稻各器官中总的变化趋势为茎<鞘<穗<叶;各器官在可见光波段的光谱反射能力为叶<穗<鞘<茎,在近红外波段则与此相反.以波长796.7 nm处的光谱反射率和738.4 nm处的一阶微分光谱反射率为自变量的线性模型和指数模型的决定系数（R²）分别为0.7996和0.8606,二者均能较好地诊断水稻氮素营养,但最适合诊断水稻氮素含量的拟合模型是以植被指数的归一化变量（SD_r-SD_b）/（SD_r+SD_b）为自变量构建的水稻氮素营养高光谱遥感诊断模型［y=365871+639323（SD_r-SD_b）/（SD_r+SD_b）,R₂＝0.8755,RMSE＝0.2372,相对误差＝11.36％］,该模型可定量诊断水稻氮素营养.     

基于高光谱遥感的小麦冠层叶片色素密度监测

作物叶片色素状况是评价植株光合效率和营养胁迫的重要指标,冠层叶片色素密度（单位土地面积叶片色素总量）的实时无损监测对作物生长诊断、产量估算及氮素管理具有重要意义。以包括不同品质类型（高蛋白、中蛋白和低蛋白）的多个小麦品种在不同施氮水平下的连续2a大田试验为基础,研究了小麦叶片色素密度与冠层高光谱参数的定量关系。结果表明,叶片色素（叶绿素a、叶绿素b、叶绿素a＋b和类胡萝卜素）密度随施氮水平增加而提高,不施氮处理的叶片色素密度随生育进程而下降,施氮处理的叶片色素密度呈单峰曲线,品种间存在明显差异。群体叶片色素密度的敏感波段主要分布在可见光区,而红边区域导数光谱表现更显著。光谱参数VOG2、VOG3、RVI（810,560）、SRE／SBE和SDr／SDb等与叶绿素密度关系较为密切,线性方程决定系数R^2均在0．858以上,而与类胡萝卜素密度关系减弱,决定系数R^2低于0．780,且参数间差异较小。经独立试验资料的检验表明,VOG2、VOG3、SRE／SBE和SDr／SDb对不同色素的估测结果较好,预测相对误差RE低于17．6％,虽然对叶绿素b的准确性稍低。总体上,光谱参数VOG2、VOG3、SRE／SBE和SDr／SDb与小麦群体叶片色素密度关系密切,特别是对叶片叶绿素a和叶绿素a＋b的密度可以进行准确可靠的实时监测。     

Association Mapping of Total Carotenoids in Diverse Soybean Genotypes Based on Leaf Extracts and High-Throughput Canopy Spectral Reflectance Measurements

Carotenoids are organic pigments that are produced predominantly by photosynthetic organisms and provide antioxidant activity to a wide variety of plants, animals, bacteria, and fungi. The carotenoid biosynthetic pathway is highly conserved in plants and occurs mostly in chromoplasts and chloroplasts. Leaf carotenoids play important photoprotective roles and targeted selection for leaf carotenoids may offer avenues to improve abiotic stress tolerance. A collection of 332 soybean [Glycine max (L.) Merr.] genotypes was grown in two years and total leaf carotenoid content was determined using three different methods. The first method was based on extraction and spectrophotometric determination of carotenoid content (eCaro) in leaf tissue, whereas the other two methods were derived from high-throughput canopy spectral reflectance measurements using wavelet transformed reflectance spectra (tCaro) and a spectral reflectance index (iCaro). An association mapping approach was employed using 31,253 single nucleotide polymorphisms (SNPs) to identify SNPs associated with total carotenoid content using a mixed linear model based on data from two growing seasons. A total of 28 SNPs showed a significant association with total carotenoid content in at least one of the three approaches. These 28 SNPs likely tagged 14 putative loci for carotenoid content. Six putative loci were identified using eCaro, five loci with tCaro, and nine loci with iCaro. Three of these putative loci were detected by all three carotenoid determination methods. All but four putative loci were located near a known carotenoid-related gene. These results showed that carotenoid markers can be identified in soybean using extract-based as well as by high-throughput canopy spectral reflectance-based approaches, demonstrating the utility of field-based canopy spectral reflectance phenotypes for association mapping.     

Comparative analysis of field and laboratory spectral reflectances of benthic diatoms with a modified Gaussian model approach

Benthic diatom biomass on an intertidal mudflat was estimated by field spectrometry, a non-intrusive optical method operating in the visible-infrared wavelength range. Spectral reflectance (400-900 nm) of natural assemblages was related to the amount of principal photosynthetic and accessory pigments measured by high-performance liquid chromatography (HPLC) in the top 2 mm of sediment. Relationships established in situ were compared with those obtained in the laboratory with monospecific cultures. However, to compare both types of reflectance spectra differing in their overall shape (continuum) and to isolate the pigment absorption features from other effects, we applied hyperspectral data processing, the Modified Gaussian Model (MGM), to remove the continuum and model the main absorption bands by a succession of Gaussian curves. The Gaussian band depths associated with the absorption by chlorophyll a and the pigments specific to diatoms (chlorophyll c, fucoxanthine, diadinoxanthin) displayed linear relationships with the logarithm of chlorophyll a.The most relevant spectral feature to quantify the microalgal biomass in situ was the 632 nm absorption band associated with chlorophyll c. A significant but equivocal statistical relationship was obtained at 675 nm, due to the overlapping absorption by chlorophyll breakdown products (pheophytine a and pheophorbide a) present in all the samples analyzed in the field. Fucoxanthin absorption at 550 nm can become an indicator of chlorophyll a biomass for benthic diatoms, but the effect of seasonal photophysiological adaptation should be considered. The comparative analysis of field and laboratory reflectance showed that the chlorophyll a present in the top 2 mm was not a good estimator of the photosynthetic active biomass (PAB) and that a shallower depth should be sampled in muddy sediments colonized by microphytobenthos. The approach of MGM band depth retrieval offers the possibility of quantifying PAB and has the potential to characterize (by accessory pigments) microalgae present in the photic zone of different sediment types, removing albedo variability due to grain-size scattering effects or sediment moisture content. Its accuracy relies, however, on an appropriate ground-truth sampling, excluding the contribution of redundant pigments not detected by the sensor.     

Effects of iron on growth and reflectance spectrum of the bloom‐forming cyanobacterium Microcystis viridis

Iron is an important factor in algal blooms because it is involved in cyanobacterial pigment biosynthesis and therefore has the ability to influence the pigment status of algal cells. This role in pigment biosynthesis offers the opportunity for rapid monitoring of iron availability to cyanobacteria through spectral reflectance characterization. In the present study, the freshwater cyanobacterium Microcystis viridis was cultured with different levels of iron. Cell density, cellular content of iron and photosynthetic pigments, and spectral reflectivity of M. viridis were determined daily during the course of the culture experiment. The results showed that at the lowest iron concentration (0.01 μM) the growth of M. viridis was seriously limited, and the maximal cell density was only approximately 6.4% of the density observed with an iron concentration of 18 μM. Iron availability dramatically affected chlorophyll a, carotenoid and phycocyanin content, with the greatest impact on chlorophyll a. The iron‐induced changes in content and ratios of pigments were detectable through spectral reflectance. Eleven spectral indices previously developed for the estimation of concentrations and/or ratios of pigments and a newly proposed chlorophyll a/phycocyanin index were found to be suitable for generating sensitive regression models between cellular iron content and spectral parameters. The comprehensive application of key sensitive spectral indices and regression equations should help to support monitoring and diagnosis of iron availability to cyanobacteria via remote sensing.     

超氧阴离子对水稻幼苗光合色素含量的影响

分别用不同浓度的铜试剂和百草枯对水稻幼苗进行叶面喷施后,于４,２４,４８,７２ｈ分别测定叶片中叶绿素和类胡萝卜素含量的动态变化．结果表明,处理后叶片中光合色素含量降低．铜试剂及百草枯对叶绿素和类胡萝卜素含量的影响有相似的规律．在处理后的４ｈ,光合色素含量开始发生变化,铜试剂处理后幼苗叶片中光合色素含量在７２ｈ最低,百草枯处理后幼苗叶片光合色素含量在４８ｈ达最低,降低的幅度与铜试剂及百草枯的浓度成正相关．     

增强UV-B辐射和氮对谷子叶光合色素及非酶促保护物质的影响

以谷子(Setaria italica(L)Beauv.)为对象,从拔节期开始持续给予低氮(1.875 mmol/L)和高氮(15 mmol/L)两种氮供应条件并从抽穗期开始进行26 d两种强度(4.29、7.12 kJ·m-2·d-1)的增强UV-B辐射处理,研究了谷子叶中光合色素含量、类黄酮含量和苯丙氨酸解氨酶(PAL)活性的变化.结果表明:与高氮供应条件相比,低氮供应条件明显降低了谷子叶中光合色素含量但提高了类胡萝卜素/叶绿素含量比值;在开花期中段和灌浆期中段,高氮供应条件下谷子叶中光合色素含量对增强UV-B辐射比低氮供应条件下的谷子更敏感.从灌浆期开始到处理结束,两种影响因子对谷子叶中类黄酮含量均有显著影响,增强UV-B辐射导致谷子叶中类黄酮含量逐渐升高,且相同增强UV-B辐射强度下低氮供应条件下的谷子叶中类黄酮含量明显高于高氮供应条件下的谷子.谷子叶中PAL活性对两种影响因子的响应较类黄酮含量更加敏感,低氮供应条件使谷子叶中PAL活性明显提高.结合上述指标的相关性分析结果可知,低氮供应条件加强了处于繁殖期主要阶段的谷子叶中类黄酮的积累,并使谷子叶中的类胡萝卜素/叶绿素含量比值明显提高,进而有助于维持谷子叶中光合色素含量在增强UV-B辐射条件下的相对稳定性,对植株抵抗UV-B辐射伤害有利.     

Bio-optical modeling of photosynthetic pigments in corals

The spectral reflectance of coral is inherently related to the amounts of photosynthetic pigments present in the zooxanthellae. There are no studies, however, showing that the suite of major photosynthetic pigments can be predicted from optical reflectance spectra. In this study, we measured cm-scale in vivo and in situ spectral reflectance for several colonies of the massive corals Porites lobata and Porites lutea, two colonies of the branching coral Porites compressa, and one colony of the encrusting coral Montipora flabellata in Kaneohe Bay, Oahu, Hawaii. For each reflectance spectrum, we collected a tissue sample and utilized high-performance liquid chromatography to quantify six major photosynthetic pigments, located in the zooxanthellae. We used multivariate multiple regression analysis with cross-validation to build and test an empirical linear model for predicting pigment concentrations from optical reflectance spectra. The model accurately predicted concentrations of chlorophyll a, chlorophyll c ₂, peridinin, diadinoxanthin, diatoxanthin and β-carotene, with correlation coefficients of 0.997, 0.941, 0.995, 0.996, 0.980 and 0.984, respectively. The relationship between predicted and actual concentrations was 1:1 for each pigment, except chlorophyll c ₂. This simple empirical model demonstrates the potential for routine, rapid, non-invasive monitoring of coral-zooxanthellae status, and ultimately for remote sensing of reef biogeochemical processes.     

PIGMENT AND PHOTOSYNTHETIC RESPONSES OF OSCILLATORIA AGARDHII (CYANOPHYTA) TO PHOTON FLUX DENSITY AND SPECTRAL QUALITY1

The effects of photon flux density (PFD) and spectral quality on biomass, pigment content and composition, and the photosynthetic activity of Oscillatoria agardhii Gomont were investigated in steady-state populations. For alterations of PFD, chemostat populations were exposed to 50, 130 and 230 μmol photons·m^?2·s^?1 of photosynthetic active radiation (PAR). Decreases in biomass, chlorophyll a (Chl a) and c-phycocyanin (CPC) contents, and CPC: Chl a and CPC: carotenoid content was not altered. Increases in the relative abundances of myxoxanthophyll and zeaxanthin and deceases in the relative abundances of echinenone and β-carotene within the carotenoid pigments coincided with increasing PFD. Increases in Chl a-specific photosynthetic rates and maxima and decreases in biomass-specific photosynthetic rates and maxima with increasing PFD were attributed to increased light harvesting by carotenoids per unit Chl a and reduction in total pigment content, respectively. Responses to spectral quality were tested by exposing chemostat populations to a gradient of spectral transmissions at 50 μmol photons·m^?2·s^?1 PAR. Biomass differences among populations were likely attributable to the distinct absorption of the PAR spectrum by Chl a, CPC, and carotenoids. Although pigment contents were not altered by spectral quality, relative abundances of zeaxanthin and echinenone in the carotenoid pigments increased in populations exposed to high-wavelength PAR. The population adapted to green light possessed a greater photosynthetic maximum than populations adapted to other spectral qualities.