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1.
该文在综合分析已有光能利用率模型的基础上,构建了一个净初级生产力(NPP)遥感估算模型,该模型体现了3方面的特色:1)将植被覆盖分类引入模型,并考虑植被覆盖分类精度对 NPP 估算的影响,由它们共同决定不同植被覆盖类型的归一化植被指数(NDVI)最大值;2)根据误差最小的原则,利用中国的NPP实测数据,模拟出各植被类型的最大光能利用率,使之更符合中国的实际情况;3)根据区域蒸散模型来模拟水分胁迫因子,与土壤水分子模型相比,这在一定程度上对有关参数实行了简化,使其实际的可操作性得到加强。模拟结果表明,1989~1993年中国陆地植被NPP平均值为3.12 Pg C (1 Pg=1015 g),NPP模拟值与观测值比较接近,690个实测点的平均相对误差为4.5%;进一步与其它模型模拟结果以及前人研究结果的比较表明,该文所构建的NPP遥感估算模型具有一定的可靠性,说明在区域及全球尺度上,利用地 理信息系统技术将遥感数据和各种观测数据集成在一起,并对NPP模型进行参数校正, 基本上可以实现全球范围不同生态系统NPP的动态监测。 相似文献
2.
菌根是由土壤中的菌根菌与植物根系形成的互惠共生体, 在植物生产力和生态系统碳循环过程中发挥着重要的作用。该文基于全球森林数据库, 建立了包括全球森林菌根类型、净初级生产力(net primary productivity, NPP)和年平均气温等指标的新数据库。在此基础上, 分析了6种菌根类型(丛枝菌根(arbuscular mycorrhiza, AM)、AM +外生菌根(ectomycorrhiza, ECM)、AM + ECM +内外生菌根(ectendomycorrhiza, EEM)、ECM、ECM + EEM和ECM + EEM +无菌根(nonmycorrhiza, NM)) 森林的总NPP、地上和地下NPP、树木主干NPP、树叶NPP, 以及树木细根NPP对年平均气温变化的响应。结果表明, 不同菌根类型的森林总NPP、地上和地下NPP虽然都随气温的升高呈现上升的趋势, 但其响应程度因菌根类型的不同而有所差异。除AM和AM + ECM + EEM类型的森林外, 其他4种菌根类型的森林总NPP都随年平均气温的增加而显著增加; 随着菌根类型的不同, 地上和地下NPP对年平均气温变化的响应程度也存在差异, 在AM + ECM类型的森林中, 气温对地上NPP变异的解释率最高, 达到57.27%, 而地下NPP仅在ECM类型和ECM + EEM类型的森林中呈现出与年平均气温显著的回归关系。树木主干、树叶和细根的NPP则随菌根类型的不同而变化, 与气温变化呈现正、负相关关系。从AM与ECM类型的森林的NPP来看, 无论是总NPP还是各个组成部分的NPP, ECM类型的森林的NPP对气温的响应总是较AM类型更为敏感。可见, 不同类型的菌根通过影响森林不同部分的NPP对气温变化的响应程度而影响到森林NPP对气温变化的响应。这表明菌根类型是预测气温变化对森林NPP影响的重要指标。 相似文献
3.
为了采用广义加法模型整合数字高程模型和遥感数据进行植被分布的预测, 并探索耦合环境变量和遥感数据作为预测变量是否能够有效地提高植被分布预测的精度, 选择海拔、坡度、至黄河最近距离、至海岸线最近距离, 以及从SPOT5遥感影像中提取的光谱变量作为预测变量, 采用广义加法模型整合环境变量和光谱变量, 建立植被分布预测模型。研究设置3种建模情景(以环境变量作为预测变量, 以光谱变量作为预测变量, 综合使用环境变量与光谱变量作为预测变量)对黄河三角洲的优势植被类型的分布进行了预测, 并对预测结果采用偏差分析、受试者工作特征曲线和野外采样点对比等3种方法进行了验证。结果表明: (1)基于广义加法模型的植被分布预测方法具有一定的实用性, 可以较为准确地预测植被的分布; 盖度较高的植被类型预测精度较高, 盖度较低的植被类型预测精度较低, 植物群落结构的特点是出现这些差异的主要原因; 综合使用环境变量和光谱变量作为预测变量的模型, 预测精度高于单独以环境变量或者光谱变量作为预测变量的模型。(2)环境变量、光谱变量大多被选入模型, 二者均对植被分布预测有重要的作用; 同一预测变量在不同植被类型的预测模型中的贡献不同, 这与植被的光谱、环境特征差异有关; 同一预测变量在不同的建模情景下对模型的贡献不同, 环境变量与光谱变量的耦合效应可能是导致预测变量对模型的贡献出现变化的原因。 相似文献
4.
结合地理信息系统和遥感技术, 研究了黄河三角洲植被指数NDVI与一系列地形要素间的尺度依赖关系, 从而检验在较大尺度上滨海生态系统植被分布格局是否存在水分再分配的调控作用。结果表明: 1)NDVI值在4种主要群落类型间差异显著, 这种显著差异是由滨海盐生植物的生境特点决定的; 2)地表高程在所有的10个粒度尺度上均与NDVI相关关系显著, 这种显著关系在小尺度上与地下水埋深有关, 而在大尺度上可能参与水分再分配过程; 3)在750 m粒度尺度附近存在水分再分配的调控作用, 在该尺度附近地形湿润度指数(TWI)和坡度与NDVI相关达到极显著, 而且其Moran’s I指数突然增大。黄河三角洲的植被地形关系表现为不同尺度上对土壤水分和盐分的调控, 在小尺度上地形因素通过土壤表面蒸发过程影响土壤水分与盐分, 而在大尺度上地形因素主要通过地表径流对土壤水分与盐分进行再分配。 相似文献
5.
植被的动态变化及其与环境的关系已成为全球变化研究的热点问题。陆地样带是进行全球变化驱动因素梯度分析的有效途径。该研究依托中国东部南北样带(NSTEC), 对南北样带不同时间尺度的气候因子和植被活动变化特征进行了分析, 并重点阐述了具有代表性的12种植被类型对气候因子的响应方式。研究结果表明: 南北样带植被的归一化植被指数(NDVI)的变化同时受控于气温和降水, 但是在不同的空间和时间尺度上植被NDVI的响应方式各异。在年时间尺度上, 只有温带落叶
灌丛(TDS)的NDVI受气温控制; 而温带禾草草原(TGS)和亚热带和热带针叶林(STCF)的NDVI同时受气温和降水调控。其他植被类型的年NDVI与年平均气温和年总降水量没有直接显著的联系, 而受年内气温变化和降水分配状况的影响更大。在月时间尺度上, NDVI与气温的关系在不同类型植被之间存在很大差异。一般而言, 植被NDVI与前4个月内的气温关系最为密切, 并且从1月份到4月份气温的滞后时长在缩短。其中, 温带针叶林(TCF)、温带落叶阔叶林(TDBF)、TDS、STCF和亚热带热带草丛(STG)等植被类型, 5–8月的NDVI与气温普遍呈负相关关系。草原和灌丛植被类型当月NDVI与当月降水量主要以正相关为主, 而森林类型当月NDVI与当月降水量主要以负相关为主。 相似文献
6.
基于2005年玉米(Zea mays)生长季土壤呼吸作用及其影响因子的动态观测资料,分析了玉米地土壤呼吸作用的日和季动态及其对土壤温度和生物因子协同作用的响应。结果表明 ,玉米地土壤呼吸作用的日变化为不对称的单峰型,其最小值和最大值分别出现在6∶00~7∶00和13∶00左右;玉米生长季中,土壤呼吸速率波动较大,其均值为3.16 μmolCO2·m-2·s-1,最大值为4.87μmolCO2·m-2·s-1,出现在7月28 日,最小值为1.32μmolCO2·m-2·s-1,出现在5月4日。在土壤呼吸作用日变化中,土壤呼吸速率(SR)与10 cm深度土壤温度(T)呈显著的线性关系:SR=αT+β。在整个生长季节中,玉米净初级生产力(NPP)与直线斜率(α)呈显著正相关,生物量(B)也明显影响直线的截距(β)。基于此,建立了玉米地土壤呼吸作用动态模型SR=(aNPP+b)T+cB2+dB+e。土壤呼吸作用季节变化的大部分(97%)可以由土壤温度、NPP和生物量的季节变化来解释。当仅考虑土壤温度对土壤呼吸作用的影响时,指数方程会过大或过小地估计了土壤呼吸强度。该文的结果强调了生物因子在土壤呼吸作用季节变化中的重要作用,同时指出土壤呼吸作用模型不仅要考虑土壤温度的影响,在生物因子影响土壤呼吸作用的温度敏感性时,还应该把生物因子纳入模型。 相似文献
7.
利用光谱反射率测量的光化学植被指数(PRI)估算植被光合作用的光能利用效率(LUE),能够更好地为生态系统总初级生产力的估算及尺度扩展提供重要的技术支撑.本研究以中国通量网(ChinaFLUX)千烟洲通量观测站为研究区域,2013年9月和12月在通量塔上测量了中亚热带人工针叶林的植被反射光谱,并获取了通量塔上同步观测的气象数据和涡度相关通量数据,对两者进行回归分析.结果表明: PRI-LUE相关关系(R2=0.20,P<0.001)优于NDVI LUE.在整个观测期内,土壤水分含量(SWC)与PRI组合的二元回归模型能够提高LUE的估算精度(日间观测R2=0.29,P<0.001;正午观测R2=0.30,P<0.01),而在秋季,饱和水汽压差(VPD)与PRI组合的二元回归模型能较好地估算正午LUE(R2=0.448, P<0.001),表明环境因子SWC和VPD是影响PRI-LUE关系的重要因素,不同季节的二元回归模型所选择的最佳环境变量有所不同. 相似文献
8.
泾河流域土地开发历史悠久, 是黄土高原水土流失的典型区域。研究气候变化和人类活动影响下泾河流域的植被覆盖变化及其原因, 对黄土高原的植被恢复、水土保持和景观管理等都具有重要意义。该研究应用GIMMS归一化植被指数NDVI、土地覆盖分类数据和气候数据, 采用趋势分析和相关分析方法, 研究了泾河流域1982–2005年植被覆盖变化趋势及其驱动因素。研究表明: 泾河流域24年间79.64%的区域NDVI无显著变化趋势, NDVI趋势显著增加的区域占16.33%, 主要集中在流域中部和南部, NDVI趋势显著减小的区域占4.03%, 主要集中在流域北部。流域所有气象站点的降水量均无显著变化趋势, 气温均呈显著升高趋势。分析发现气候变化不能很好地解释NDVI趋势的空间分异, 人为因素更为重要。从土地利用分析结果来看, NDVI不同趋势下各土地利用类型比例无明显变化, 但NDVI显著增加区以耕地为主, 显著减小区以草地为主, 由此推断NDVI的显著增加趋势主要由耕地NDVI增加引起, 显著减小趋势可能与林地减少和草地退化有关。通过分析不同分区的土地利用数据和社会经济资料, 着重探讨了造成植被覆盖显著变化趋势的人为因素。 相似文献
9.
《植物生态学报》2016,(10)
光能利用率(LUE)是陆地生态系统总初级生产力(GPP)估算的一个重要参数。LUE的准确估算对于在区域甚至全球尺度上使用LUE模型估算GPP是非常重要的。一个基于通量塔的观测视场与通量观测足迹在时空上相匹配的自动多角度遥感平台为LUE在站点尺度上的准确估算提供了一个好方法。该文基于通量塔涡度相关(EC)和自动多角度高光谱连续观测获取的连续30 min的数据,在站点空间尺度和0.5 h与日时间尺度上,探讨了城市绿地生态系统秋季光化学反射植被指数(PRI)与LUE之间的关系。研究发现,反映植被叶面积和色素变化的植被绿度指数在秋季呈现逐渐下降的趋势,表征了植被冠层的状态与结构变化,叶片从绿色逐渐变黄凋落,植被冠层叶片的叶绿素逐渐减少,裸露的枝干增多;用空气温度和代表物候过程的绝对绿度指数(2G_RB)做线性回归分析,得到回归系数(R2)为0.60(p0.001)。说明在城市绿地生态系统中,空气温度是决定植被物候过程的主要驱动因素,随着植被物候变化,叶片的凋落导致的裸露土壤的增多以及随时间变化的色素含量和其比例的变化将影响PRI和LUE的关系;采用植被生长模型(logistic曲线),拟合时间与2G_RB,得到曲率变化最快的点,确定为秋季植被落叶期的初日,即第290天。在0.5 h和日时间尺度上,PRI都可以捕捉LUE的变化。但是日尺度上不同物候期,PRI和LUE的关系发生了急剧的变化。在秋季植被正常生长期,PRI和LUE之间的关系最密切(R2=0.70,p0.001)。当土壤温度大于15℃、光合有效辐射(PAR)大于300μmol·m~(–2)·s~(–1)以及饱和水汽压差(VPD)大于700 Pa的情况下,PRI能够更好地预测LUE。基于通量塔尺度上时空尺度相匹配,利用半经验的核驱动二向反射分布函数模型得到的高光谱PRI和通量观测得到的LUE在不同环境条件下的关系以及考虑到在植被的不同物候期对PRI和LUE的关系的优化,将会更加准确地估算城市绿地生态系统的LUE。 相似文献
10.
树干呼吸是森林生态系统碳平衡的重要组成部分,它每年消耗碳同化总量(NPP)的11%~33%。受测定技术所限,过去对树干呼吸的研究未能引起足够的重视。近十几年来,由于大气CO2温室气体浓度的持续升高,树干呼吸已成为研究的热点。测定树干呼吸的方法较多,早期一般采用气体交换法和密闭方法,最近利用便携式光合测定系统(Li-Cor6400)或土壤碳通量测量系统(Li-8100)对树干呼吸采用开路系统测定方法。大量研究结果表明 :1)树干呼吸的日变化呈双峰型曲线,即从早晨开始,树干呼吸速率随温度的上升而增加,到午间有所降低,之后逐渐增加,达到峰值后又逐渐降低。2)树干呼吸的季节动态为:生长季的树干呼吸速率明显高于非生长季,即从春季到夏季树干呼吸速率呈持续升高态势,高峰值出现在7或8月,尔后逐渐下降。树干呼吸活动是一个复杂的生物学过程,其影响因子较多。直接影响因子有气象因子(如温度、湿度和CO2浓度)和生物因子(如树种、树龄、径阶、边材积和树干氮含量等);而纬度、海拔和地形因子通过影响气象因子或生物因子而间接影响树干呼吸。诸多因子中,树干温度对树干呼吸的贡献最大(Q10可描述树干呼吸对温度升高的敏感性)。树干呼吸机理及其影响因子乃是今后研究的主要内容,一方面要采用统一的测量方法和技术,另一方面要综合考虑影响树干呼吸的内外因素,建立树干呼吸的相关模型,为构建森林生态系统碳循环模型、了解森林生态系统碳收支状况及其对大气CO2浓度变化的贡献和对全球变化的响应提供理论依据。 相似文献
11.
Deconvolution of pigment and physiologically related photochemical reflectance index variability at the canopy scale over an entire growing season 下载免费PDF全文
The sensitivity of the photochemical reflectance index (PRI) to leaf pigmentation and its impacts on its potential as a proxy for light‐use efficiency (LUE) have recently been shown to be problematic at the leaf scale. Most leaf‐to‐leaf and seasonal variability can be explained by such a confounding effect. This study relies on the analysis of PRI light curves that were generated at the canopy scale under natural conditions to derive a precise deconvolution of pigment‐related and physiologically related variability in the PRI. These sources of variability were explained by measured or estimated physiologically relevant variables, such as soil water content, that can be used as indicators of water availability and canopy chlorophyll content. The PRI mainly reflected the variability in the pigment content of the canopy. However, the corrected PRI, which was obtained by subtracting the pigment‐related seasonal variability from the PRI measurement, was highly correlated with the upscaled LUE measurements. Moreover, the sensitivity of the PRI to the leaf pigment content may mask the PRI versus LUE relationship or result in an artificial relationship that reflects the relationship of chlorophyll versus LUE, depending on the species phenology. 相似文献
12.
The use of the photochemical reflectance index (PRI) as a promising proxy of light use efficiency (LUE) has been extensively studied, and some issues have been identified, notably the sensitivity of PRI to leaf pigment composition and the variability in PRI response to LUE because of stress. In this study, we introduce a method that enables us to track the short‐term PRI response to LUE changes because of photosynthetically active radiation (PAR) changes. The analysis of these short‐term relationships between PRI and LUE throughout the growing season in two species (Quercus robur L. and Fagus sylvatica L.) under two different soil water statuses showed a clear change in PRI response to LUE, which is related to leaf pigment content. The use of an estimated or approximated PRI0, defined as the PRI of perfectly dark‐adapted leaves, allowed us to separate the PRI variability due to leaf pigment content changes and the physiologically related PRI variability over both daily (PAR‐related) and seasonal (soil water content‐related) scales. The corrected PRI obtained by subtracting PRI0 from the PRI measurements showed a good correlation with the LUE over both of the species, soil water statuses and over the entire growing season. 相似文献
13.
Porcar-Castell A Garcia-Plazaola JI Nichol CJ Kolari P Olascoaga B Kuusinen N Fernández-Marín B Pulkkinen M Juurola E Nikinmaa E 《Oecologia》2012,170(2):313-323
The photochemical reflectance index (PRI) is regarded as a promising proxy to track the dynamics of photosynthetic light use efficiency (LUE) via remote sensing. The implementation of this approach requires the relationship between PRI and LUE to scale not only in space but also in time. The short-term relationship between PRI and LUE is well known and is based on the regulative process of non-photochemical quenching (NPQ), but at the seasonal timescale the mechanisms behind the relationship remain unclear. We examined to what extent sustained forms of NPQ, photoinhibition of reaction centres, seasonal changes in leaf pigment concentrations, or adjustments in the capacity of alternative energy sinks affect the seasonal relationship between PRI and LUE during the year in needles of boreal Scots pine. PRI and NPQ were highly correlated during most of the year but decoupled in early spring when the foliage was deeply downregulated. This phenomenon was attributed to differences in the physiological mechanisms controlling the seasonal dynamics of PRI and NPQ. Seasonal adjustments in the pool size of the xanthophyll cycle pigments, on a chlorophyll basis, controlled the dynamics of PRI, whereas the xanthophyll de-epoxidation status and other xanthophyll-independent mechanisms controlled the dynamics of NPQ at the seasonal timescale. We conclude that the PRI leads to an underestimation of NPQ, and consequently overestimation of LUE, under conditions of severe stress in overwintering Scots pine, and most likely also in species experiencing severe drought. This severe stress-induced decoupling may challenge the implementation of the PRI approach. 相似文献
14.
Angela Harris Susan Margaret Owen Darren Sleep Maria da Glória dos Santos Pereira 《Physiologia plantarum》2016,156(2):190-200
The photochemical reflectance index (PRI), through its relationship with light use efficiency (LUE) and xanthophyll cycle activity, has recently been shown to hold potential for tracking isoprene emissions from vegetation. However, both PRI and isoprene emissions can also be influenced by changes in carotenoid pigment concentrations. Xanthophyll cycle activity and changes in carotenoid concentrations operate over different timescales, but the importance of constitutive changes in pigment concentrations for accurately estimating isoprene emissions using PRI is unknown. To clarify the physiological mechanisms behind the PRI–isoprene relationship, the light environment of potted Salix viminalis (osier willow) trees was modified to induce acclimation in photosynthetic rates, phytopigments, isoprene emissions and PRI. Acclimation resulted in differences in pigment concentrations, isoprene emissions and PRI. Constitutive changes in carotenoid concentration were significantly correlated with both isoprene emissions and PRI, suggesting that the relationship between PRI and isoprene emissions is significantly influenced by constitutive pigment changes. Consequently knowledge regarding how isoprene emissions are affected by both longer term changes in total carotenoid concentrations and shorter term dynamic adjustments of LUE is required to facilitate interpretation of PRI for monitoring isoprene emissions. 相似文献
15.
This study aimed to evaluate the photochemical reflectance index (PRI) for assessing plant photosynthetic performance throughout the plant life cycle. The relationships between PRI, chlorophyll fluorescence parameters, and leaf pigment indices in Solanum melongena L. (aubergine; eggplant) were studied using photosynthetic induction curves both in short-term (diurnal) and long-term (seasonal) periods under different light intensities. We found good correlations between PRI/non-photochemical quenching (NPQ) and PRI/electron transport rate (ETR) in the short term at the same site of a single leaf but these relationships did not hold throughout the life of the plant. In general, changes in PRI owing to NPQ or ETR variations in the short term were <20?% of those that occurred with leaf aging. Results also showed that PRI was highly correlated to plant pigments, especially chlorophyll indices measured by spectral reflectance. Moreover, relationships of steady-state PRI/ETR and steady-state PRI/photochemical yield of photosystem II (Φ(PSII)) measured at uniform light intensity at different life stages proved that overall photosynthesis capacity and steady-state PRI were better correlated through chlorophyll content than NPQ and xanthophylls. The calibrated PRI index accommodated these pigments effects and gave better correlation with NPQ and ETR than PRI. Further studies of PRI indices based on pigments other than xanthophylls, and studies on PRI mechanisms in different species are recommended. 相似文献
16.
光能利用率(LUE)直接影响植被各层中的能量分布和光合速率,在确定环境对光合和地上部生长分配的综合限制上十分有价值,是衡量系统功能的一个重要指标。本研究以遥感图像(TM)作为数据源,获取了影响植被LUE的重要变量——叶面积指数(LAI);用程序语言编写了描述系统碳循环和水循环的景观尺度生态系统生产力过程模型(EPPML),对长白山自然保护区的太阳总辐射、净初级生产力(NPP)和LUE等的季节动态和空间分布进行了模拟;并用地理信息系统(GIS)手段对空间数据进行处理、分析和显示,从而实现了将植物生理生态研究的结果从小尺度向中尺度进行拓展和转换。EPPML可以比较准确地模拟长白山自然保护区景观尺度上主要植被类型的NPP和太阳总辐射,对LUE的模拟结果也大多在我国森林的LUE范围之内,但对不同植被类型LUE的验证因实测数据不足,仅做了初步比较。模拟结果表明,长白山植被的LUE与NPP的季节进程十分近似,7月可达2.9%。春、夏、秋、冬四个季节植被LUE的模拟平均值分别为0.551%、2.680%、0.551%和0.047%。植被年LUE的模拟值平均为1.075%,在-3.272%~3.556%之间变化,阔叶红松(Pinus koraiensis)林最大(1.653%),高山流砾滩草类最小(0.146%)。阔叶红松林的LUE虽然较高,但仍有很大的增长潜力。 相似文献
17.
Moss samples from the Fluxnet-Canada western peatland flux station in the Boreal Region of Alberta were measured in the laboratory
to obtain the net photosynthesis rate and chlorophyll fluorescence of the moss under controlled environmental conditions,
including the regulation of moss water content, simultaneously with measurements of moss spectral reflectance. One objective
was to test whether the photochemical reflectance index (PRI) detected changes in moss photosynthetic light-use efficiency
that were consistent with short-term (minutes to hours) changes in xanthophyll cycle pigments and associated changes in non-photochemical
quenching (NPQ), as recorded by chlorophyll fluorescence. The rate of net photosynthesis was strongly inhibited by water content
at values exceeding approximately 9 (fresh weight/dry weight) and declined as the water content fell below values of approximately
8. Chlorophyll fluorescence measurements of maximum photosystem II efficiency generally remained high until the water content
was reduced from the maximum of about 20 to values of approximately 10–11, and then declined with further reductions in moss
water content. A significant linear decline in NPQ was observed as moss water content was reduced from maximum to low water
content values. There was a strong negative correlation between changes in NPQ and PRI. These data suggest that PRI measurements
are a good proxy for short-term shifts in photosynthetic activity in Sphagnum moss. A second objective was to test how accurately the water band index (WBI, ratio of reflectance at 900 and 970 nm) recorded
changes in moss water content during controlled laboratory studies. Strong linear relationships occurred between changes in
moss water content and the WBI, although the slopes of the linear relationships were significantly different among sample
replicates. Therefore, WBI appeared to be a useful tool to determine sample-specific water content without destructive measurements. 相似文献
18.
Located at northern latitudes and subject to large seasonal temperature fluctuations, boreal forests are sensitive to the changing climate, with evidence for both increasing and decreasing productivity, depending upon conditions. Optical remote sensing of vegetation indices based on spectral reflectance offers a means of monitoring vegetation photosynthetic activity and provides a powerful tool for observing how boreal forests respond to changing environmental conditions. Reflectance-based remotely sensed optical signals at northern latitude or high-altitude regions are readily confounded by snow coverage, hampering applications of satellite-based vegetation indices in tracking vegetation productivity at large scales. Unraveling the effects of snow can be challenging from satellite data, particularly when validation data are lacking. In this study, we established an experimental system in Alberta, Canada including six boreal tree species, both evergreen and deciduous, to evaluate the confounding effects of snow on three vegetation indices: the normalized difference vegetation index (NDVI), the photochemical reflectance index (PRI), and the chlorophyll/carotenoid index (CCI), all used in tracking vegetation productivity for boreal forests. Our results revealed substantial impacts of snow on canopy reflectance and vegetation indices, expressed as increased albedo, decreased NDVI values and increased PRI and CCI values. These effects varied among species and functional groups (evergreen and deciduous) and different vegetation indices were affected differently, indicating contradictory, confounding effects of snow on these indices. In addition to snow effects, we evaluated the contribution of deciduous trees to vegetation indices in mixed stands of evergreen and deciduous species, which contribute to the observed relationship between greenness-based indices and ecosystem productivity of many evergreen-dominated forests that contain a deciduous component. Our results demonstrate confounding and interacting effects of snow and vegetation type on vegetation indices and illustrate the importance of explicitly considering snow effects in any global-scale photosynthesis monitoring efforts using remotely sensed vegetation indices. 相似文献
19.
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(SR750,550)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.SR750,550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). 相似文献