Chromophoric dissolved organic matter (CDOM) absorption characteristics in relation to fluorescence in Lake Taihu,China, a large shallow subtropical lake

Absorption measurements from chromophoric dissolved organic matter (CDOM) and their relationships with dissolved organic carbon (DOC) and fluorescence were studied in Lake Taihu, a large, shallow, subtropical lake in China. Absorption spectra of lake water samples were measured from 240 nm to 800 nm. Highest values of a(λ), DOC and F _n (355) occurred near the river inflow to Meiliang Bay and decreased towards the central lake basin. A significant spatial difference was found between Meiliang Bay and the central lake basin in absorption coefficient, DOC-specific absorption coefficient, exponential slope coefficient, DOC concentration and fluorescence value. The spatial distribution of CDOM suggested that a major part of CDOM in the lake was from river input. CDOM absorption coefficients were correlated with DOC over the wavelength range 280–500 nm, and a(355) was also correlated with F _n (355), which showed that CDOM absorption could be inferred from DOC and fluorescence measurement. The coefficient of variation between a(λ) and DOC concentration decreased with increase in wavelength from 240 nm to 800 nm. Furthermore, a significant negative linear relationship was recorded between S value and CDOM absorption coefficient, as well as DOC-specific absorption coefficient. S value and DOC-specific absorption coefficient were used as a proxy for CDOM composition and source. Accurate CDOM absorption measurements are very useful in explaining UV attenuation and in developing, validating remote sensing model of water quality in Lake Taihu.     

Modeled Effects of Dissolved Organic Carbon and Solar Spectra on Photobleaching in Lake Ecosystems

Dissolved organic matter (DOM) contains molecules that absorb light at various wavelengths. This chromophoric DOM (CDOM) influences the transmission of both visible and ultraviolet energy through water. The absorption of light by CDOM often causes structural changes that reduce its capacity to further absorb light, a process termed ‘photobleaching‘. A model was designed to assess photobleaching through the entire water column of lake ecosystems. The model uses lake morphometry and dissolved organic carbon (DOC) concentration in conjunction with a defined solar spectrum and experimentally measured photobleaching rates to compute the total water columm photobleaching. The model was initially applied to a theoretical ‘average‘ lake using solar spectra for both the north (N) and south (S) temperate western hemispheres and variable DOC from 0.3 to 30 mg L⁻¹. The consequences of varying waveband-specific photobleaching coefficients and lake morphometry were explored in a second set of simulations. Finally, the model was also applied to four temperate northern lakes for which we had prior measurements of CDOM photobleaching rates. The model demonstrates that all three wavebands of solar radiation (UVB, UVA, and PAR) contribute significantly to total water column photobleaching, with UVA being most important. The relative contributions of the three wavebands were invariant for DOC more than 3 mg L⁻¹. Total water column photobleaching at 440 nm was three to five times faster under the UV-enriched solar spectrum of the southern hemisphere. Increasing the lake’s mean depth (from 0.37 to 9.39 m) resulted in five- or 15-fold slower rates of total water column photobleaching for DOC concentrations of 1 or 10 mg L⁻¹, respectively. Varying the waveband-specific photobleaching coefficients by 10-fold resulted in a similar change in total water column photobleaching rates. Applying the model to four specific lakes revealed that photobleaching for the entire water column would reduce CDOM light absorption by 50% in 18–44 days under summer conditions. Received 17 November 1998; accepted 27 June 2000.     

Variation of chromophoric dissolved organic matter and possible attenuation depth of ultraviolet radiation in Yunnan Plateau lakes

The increase of ultraviolet radiation (UVR, 280–400 nm) caused by stratospheric ozone depletion has profound effects on aquatic ecosystems. High-altitude lakes in the Yunnan Plateau are exposed to high intensities of UVR and contain low concentrations of chromophoric dissolved organic matter (CDOM). Thirty-eight lakes in the Yunnan Plateau with elevations from 1291 to 3809 m above sea level were investigated to study CDOM concentrations and possible effects of UVR on the lake ecosystem. The attenuation of UVR in the Yunnan Plateau lakes was calculated from the absorption coefficient of CDOM based on an empirical relationship from lakes in the Alps and Pyrenees mountains. Absorption coefficients [α(λ)] at 320 nm [α(320)] ranged from 0.52 to 14.05 m⁻¹ (mean ± standard deviation, 4.40 ± 3.85 m⁻¹) and at 380 nm [α(380)] from 0.05 to 4.51 m⁻¹ (1.40 ± 1.30 m⁻¹). The exponential slope coefficient for the relationship of wavelength to α(λ) ranged from 16.2 to 41.4 μm⁻¹ (21.74 ± 4.93 μm⁻¹) over the 280–400 nm interval. Normalized fluorescence emission (NFLU) at 450 nm from an excitation wavelength of 355 nm, F _n(355), averaged 7.93 ± 3.22 NFLU. A significant positive relationship was found between α(355) and F _n(355). The estimated diffuse attenuation coefficients of UV-B (320 nm) and UV-A (380 nm) ranged from 0.55 to 15.77 m⁻¹ and from 0.24 to 6.73 m⁻¹; the corresponding 1% attenuation depths ranged from 0.29 to 8.44 m and from 0.68 to 19.12 m. Twenty-five of 38 lakes had 1% UV-B attenuation depths of 1.5 m or more. The median 1% attenuation depth was 28.8% of the sampling depth for UV-B radiation and 60% for UV-A. In addition to CDOM, chlorophyll α (Chla) and total suspended matter (TSM) also may contribute to attenuation of UVR.     

Length–mass relationships for lake macroinvertebrates corrected for back-transformation and preservation effects

Coloured dissolved organic matter (CDOM) modifies the light penetration into water bodies due to stronger absorbance of UV and short wavelengths of light. Therefore, in natural waters with high CDOM concentration, the spectrum of sunlight is shifted towards brown, also referred to as brownification. Here, the relation between the spectrophotometrically measured water colour (CDOM) and landscape properties is examined. These properties explained at best > 40% of the CDOM variability among the study lakes larger than 10 km². The key “permanent” landscape variables were lake percentage (Lake_%) in the uppermost catchment area, and the peat land coverage (Peat_%) of the catchment, which indeed was strongly correlated with lake elevation above the sea level. High Lake % indicated low CDOM concentration, while high Peat_% indicated the opposite. Relative to the Peat_% of the catchment, the CDOM concentrations were, on average, slightly higher in medium-size lakes (area 10–100 km²) than in large lakes (area > 100 km²), while relative to Lake_% the concentrations declined more in medium-size lakes.     

Direct and indirect effects of additions of chromophoric dissolved organic matter on zooplankton during large‐scale mesocosm experiments in an oligotrophic lake

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Role of terrestrial carbon in aquatic UV exposure and photoprotective pigmentation of meiofauna in subarctic lakes

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洱海CDOM吸收光谱特征变化及其影响因素

为了解溶解性有机质(CDOM)光学特性及影响因素, 在2018年11月至2019年10月期间采集了洱海120个表层水样本, 利用紫外吸收光谱解析了CDOM的组成及来源, 主成分分析法(PCA)阐明光学特性与环境因子之间的相关性。结果表明: CDOM吸收系数[a(440)]范围为0.22—0.90/m, 随时间变化显著(P<0.01), 营养水平差异较小(P=0.97)。[a(440)]与溶解性有机碳(DOC)关系显著(P<0.01), 有利于建立遥感模型监测CDOM时空分布特征。基于芳香度(SUVA₂₅₄)、斜率比值(S_R)、分子量参数(M)和吸收光谱斜率(S_275—295)等吸收特征参数发现CDOM光学特性随季节变化差异显著, 由非度量多维尺度(NMDS)分析可分为以下2个时期: 2018年11月至2019年7月和2019年8—10月, 后者CDOM的SUVA₂₅₄显著低于前者。吸收特征参数表明洱海CDOM分子量较小, 主要为内源产生。在不同时期, 水温、pH和TP始终对CDOM吸收特征产生较大影响。文章阐明了洱海表层水体CDOM分布特征及影响因素, 为洱海水体污染治理提供理论依据。     

A study of absorption characteristics of chromophoric dissolved organic matter and particles in Lake Taihu,China

Absorptions by non-phytoplankton particles and phytoplankton, and chromophoric dissolved organic matter (CDOM) were measured at 50 sites in large, shallow, Lake Taihu in winter and summer 2006 to study their seasonal and spatial variations, and their relative contributions to total absorption. The CDOM absorption was significantly higher in winter than in summer, due to degradation and release of fixed carbon in phytoplankton and submerged aquatic vegetation (SAV). The hyperbolic model was used to model the spectral absorption of CDOM, and the mean spectral slope of 6.38 nm⁻¹ was obtained. At most sites, the spectral absorption of non-phytoplankton particles was similar to that of the total particles, demonstrating that the absorption of the total particles is dominated by the absorption of non-phytoplankton particles. In summer, phytoplankton absorption increased markedly, due to frequent algal blooms especially in Meiliang Bay. In winter, the significant increase in non-phytoplankton particle absorption resulted from the increase of inorganic particulate matter caused by sediment resuspension. Strong linear relationships were found between a _d(440) and total suspended matter (TSM), organic suspended matter (OSM), and inorganic suspended matter (ISM). Strong linear relationships were also found between a _ph(440), a _ph(675) and chlorophyll a (Chl-a) concentration. The total relative contributions of non-phytoplankton particles over the range of photosynthetically active radiation (PAR) (400–700 nm) were 48.4 and 79.9% in summer and winter respectively. Non-phytoplankton particle absorption dominated the total absorption, especially in winter, in Lake Taihu, due to frequent sediment resuspension in the large shallow lake as a result of strong windy conditions. The results indicate that strong absorption by CDOM and non-phytoplankton particles at the blue wavelength has an impact on the spectral availability, and acts as a selection factor for the composition of the phytoplankton community, with cyanobacteria being the dominate species in Lake Taihu. Handling editor: L. Naselli-Flores     

Light absorption by phytoplankton and chromophoric dissolved organic matter in the drainage basin and estuary of the Neuse River, North Carolina (U.S.A.)

1. We examined the absorption of solar radiation by phytoplankton and chromophoric dissolved organic matter (CDOM) taking into account riparian shading in the rivers, reservoirs, swamps of the Neuse River Estuary and its drainage basin. 2. In the streams, CDOM typically absorbed 55 and 64% of photons in the spectral range of 400–700 nm (photosynthetically active radiation, PAR) and 500–600 nm, respectively. The large proportion of photons absorbed by CDOM indicates high potential for abiotic photochemial reactions in the 500–600 nm region. 3. Despite the high concentration of nutrients, phytoplankton contributed little (2%) to the total absorption of PAR in the streams. Small (<30 m wide) streams typically received only 7% of incident PAR that impinged onto the more exposed reservoirs and estuary. Riparian shading and the low contribution of phytoplankton to the total absorption resulted in conditions where phytoplankton absorbed nearly two orders of magnitude less PAR in the streams than in the estuary and reservoirs. 4. The results indicated that riparian shading and non‐algal absorbing components can significantly restrict phytoplankton production in nutrient‐rich streams with a high concentration of CDOM flowing throughout forested catchments.     

Remote sensing as a tool for assessing water quality in Loosdrecht lakes

The underwater light field in 7 lakes in the Loosdrecht lake area was measured in situ. Subsurface upwelling irradiance and irradiance reflectance, together with estimations of scattering and laboratory measurements of absorption by aquatic humus and particulate matter, enabled an analysis of the spectral signature of these waters. Aircraft imaging spectrometer measurements of upwelling radiance at 1 km altitude were used to simulate the PMI Chlorophyll #1, the CAESAR Inland Water Mode spectral bandsets and the Thematic Mapper bands 1 to 4. This made it possible to compare the effects of spectral band width and selection on the estimation of water quality parameters. Correlations increased to r > 0.94, at a significance level of 1% for the simulated C-IWM data with the 6 water quality parameters. Images of the PMI Chlorophyll #1 and of the TM were analysed and found to be in accordance with the statistical modelling results.A significant increase in correlation of remote sensing data with water quality parameters can be achieved through the selective use of 10 to 20 nm wide bands in the spectral range of 500 to 720 nm in these eutrophic waters. Sum of chlorophyll a and phaeopigments, seston dry weight, Secchi disc transparency, and coefficients for vertical attenuation of light, absorption and scattering can be estimated accurately. TM image data for water quality assessment is of limited use due to the relatively low spectral and radiometric resolution. However, the revisit capability and relatively low price per area are positive aspects of these satellite images.Abbreviations CAESAR = CCD Airborne Experimental Scanner for Applications in Remote sensing - C-IWM = CAESAR Inland Water Mode - CCD = charge coupled device - EOS-A = Earth Observation System Platform A - PAR = photosynthetically active radiation from 400–700 nm. - PMI = Programmable Multispectral Imager - RSLL = Remote Sensing Loosdrecht Lakes Project - SPOT = Systeme Pour l'Observation de la Terre - SPOT-HRV = Sensor on board of the SPOT satellite - TM = Thematic Mapper instrument aboard the Landsat 5 satellite     

1986—2019年新疆湖泊变化时空特征及趋势分析

干旱区湖泊是区域水资源系统的重要组成部分,不仅在维系区域生态系统平衡上发挥重要支撑作用,而且也对区域气候变化和人类活动具有重要的指示意义。基于Google Earth Engine(GEE)遥感云计算平台,以Landsat 5/7/8卫星遥感影像为主要数据源,分析了1986—2019年新疆维吾尔自治区湖泊数量以及面积变化的时空特征,并从气候要素变化、人类活动干扰等方面初步探讨了新疆湖泊变化的主要原因。结果表明：1986—2019年间,气温升高使得冰川积雪融水增加,新疆湖泊整体上呈现出扩张趋势。然而受人类活动的干扰程度以及地形海拔等因素,这种趋势存在显著的空间差异。全球变暖背景下,由于受到丰富稳定的雪冰融水的补给,受人为干扰较小的青藏高原北部地区湖泊呈现显著扩张。相反由于环天山地区强烈的人类活动以及冰川加速退缩影响,该区域湖泊面积持续高位波动状态。     

Alternate Stable States and the Shape of the Lake Trophic Distribution

Ecological theory applied to small and shallow lakes suggests that water clarity and primary productivity may be bimodal, reflecting alternate stable states. This hypothesis was tested using remote sensing data. We used estimated Secchi disk transparency derived from reflected light measured by Landsat satellite photosensors. Lake trophic state indices (TSI) were estimated from the transparency estimates. Because alternate stable state theory is typically applied to productive lakes, we predicted that planktonic primary productivity would be especially bimodal in the small and shallow eutrophic lakes of southern Wisconsin. We found that overall, trophic state for over 8000 lakes in Wisconsin was multimodal (at least bimodal). Frequency distributions for lake size categories appeared to be distinctly bimodal. The largest and smallest lakes for all of Wisconsin had significantly bimodal curves, and southern (more productive) lakes had a more distinct multimodal curve than northern lakes. These results support the basic predictions of alternate stable state theory. The significantly trimodal distribution for southern lakes suggests that they may exist in more than just two alternate stable states.     

Climate and landscape influence on indicators of lake carbon cycling through spatial patterns in dissolved organic carbon

Freshwater ecosystems are strongly influenced by both climate and the surrounding landscape, yet the specific pathways connecting climatic and landscape drivers to the functioning of lake ecosystems are poorly understood. Here, we hypothesize that the links that exist between spatial patterns in climate and landscape properties and the spatial variation in lake carbon (C) cycling at regional scales are at least partly mediated by the movement of terrestrial dissolved organic carbon (DOC) in the aquatic component of the landscape. We assembled a set of indicators of lake C cycling (bacterial respiration and production, chlorophyll a, production to respiration ratio, and partial pressure of CO₂), DOC concentration and composition, and landscape and climate characteristics for 239 temperate and boreal lakes spanning large environmental and geographic gradients across seven regions. There were various degrees of spatial structure in climate and landscape features that were coherent with the regionally structured patterns observed in lake DOC and indicators of C cycling. These different regions aligned well, albeit nonlinearly along a mean annual temperature gradient; whereas there was a considerable statistical effect of climate and landscape properties on lake C cycling, the direct effect was small and the overall effect was almost entirely overlapping with that of DOC concentration and composition. Our results suggest that key climatic and landscape signals are conveyed to lakes in part via the movement of terrestrial DOC to lakes and that DOC acts both as a driver of lake C cycling and as a proxy for other external signals.     

Relationship of trophic and chemical conditions to photobleaching of dissolved organic matter in lake ecosystems

Dissolved organic matter (DOM) is a major light-absorbing substance, responsible for much of the color in water bodies. When sunlight energy is absorbed by DOM, some color can be lost by the process of photobleaching. We measured rates of DOM photobleaching in thirty lakes that varied greatly in color, trophic status and ionic composition. Loss of color (measured as absorbance at 440 nm and expressed as absorption coefficients) was a first order function of sunlight dose, and rates were nearly identical for 0.2m- and GF/F-filtered samples suggesting that the process was predominantly abiotic. Photobleaching rates were rapid (color loss of 1–19% d^–1) and varied about seven-fold among lakes. Our method under-estimated the actual rate by 15–20% based on comparisons between the glass bottles we used in the survey and quartz containers. The large variation in photobleaching rates was examined in relation to lake trophy and chemical conditions. The best predictor of this variability was acid-neutralizing capacity (ANC) (r ²=0.94;p<0.001) such that photobleaching was most rapid in the most alkaline lakes. The relationship between ANC and photobleaching suggests that differences in ionic conditions among lakes may influence the solubility and configuration of humic and fulvic acids and hence their susceptibility to photobleaching.     

Differential effects of changes in spectral irradiance on photoacclimation,primary productivity and growth in Rhodomonas salina (Cryptophyceae) and Skeletonema costatum (Bacillariophyceae) in simulated blackwater environments

The underwater light field in blackwater environments is strongly skewed toward the red end of the electromagnetic spectrum due to blue light absorption by colored dissolved organic matter (CDOM). Exposure of phytoplankton to full spectrum irradiance occurs only when cells are mixed up to the surface. We studied the potential effects of mixing‐induced changes in spectral irradiance on photoacclimation, primary productivity and growth in cultures of the cryptophyte Rhodomonas salina and the diatom Skeletonema costatum. We found that these taxa have very different photoacclimation strategies. While S. costatum showed classical complementary chromatic adaption, R. salina showed inverse chromatic adaptation, a strategy previously unknown in the cryptophytes. Transfer of R. salina to periodic full spectrum light (PFSL) significantly enhanced growth rate (μ) by 1.8 times and primary productivity from 0.88 to 1.35 mg C · (mg Chl^?1) · h^?1. Overall, R. salina was less dependent on PFSL than was S. costatum, showing higher μ and net primary productivity rates. In the high‐CDOM simulation, carbon metabolism of the diatom was impaired, leading to suppression of growth rate, short‐term ¹⁴C uptake and net primary production. Upon transfer to PFSL, μ of the diatom increased by up to 3‐fold and carbon fixation from 2.4 to 6.0 mg C · (mg Chl^?1) · h^?1. Thus, a lack of PFSL differentially impairs primarily CO₂‐fixation and/or carbon metabolism, which, in turn, may determine which phytoplankton dominate the community in blackwater habitats and may therefore influence the structure and function of these ecosystems.     

Global change‐driven effects on dissolved organic matter composition: Implications for food webs of northern lakes

Northern ecosystems are experiencing some of the most dramatic impacts of global change on Earth. Rising temperatures, hydrological intensification, changes in atmospheric acid deposition and associated acidification recovery, and changes in vegetative cover are resulting in fundamental changes in terrestrial–aquatic biogeochemical linkages. The effects of global change are readily observed in alterations in the supply of dissolved organic matter (DOM)—the messenger between terrestrial and lake ecosystems—with potentially profound effects on the structure and function of lakes. Northern terrestrial ecosystems contain substantial stores of organic matter and filter or funnel DOM, affecting the timing and magnitude of DOM delivery to surface waters. This terrestrial DOM is processed in streams, rivers, and lakes, ultimately shifting its composition, stoichiometry, and bioavailability. Here, we explore the potential consequences of these global change‐driven effects for lake food webs at northern latitudes. Notably, we provide evidence that increased allochthonous DOM supply to lakes is overwhelming increased autochthonous DOM supply that potentially results from earlier ice‐out and a longer growing season. Furthermore, we assess the potential implications of this shift for the nutritional quality of autotrophs in terms of their stoichiometry, fatty acid composition, toxin production, and methylmercury concentration, and therefore, contaminant transfer through the food web. We conclude that global change in northern regions leads not only to reduced primary productivity but also to nutritionally poorer lake food webs, with discernible consequences for the trophic web to fish and humans.     

Accounting for littoral primary production by periphyton shifts a highly humic boreal lake towards net autotrophy

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表观反射率及其在植被遥感中的应用

 由于植被遥感应用定量化和监测等的需求,光学遥感数据的辐射校正更加受到重视。该文论述了辐射校正,辐射定标和大气校正的概念以及它们之间的区别及关系。特别对辐射定标的结果之一,大气层顶表观反射率,简称表观反射率(Apparent reflectance)的定义、概念、计算和它在植被遥感中的应用等方面,进行了详细的论述。     

2000-2014年我国西北地区湖泊面积的时空变化

以2000-2014年Landsat TM、ETM+以及OLI影像为基础,通过人工目视解译方法提取我国西北地区111个面积10.0 km²以上湖泊矢量数据,并对湖泊面积变化总体趋势、空间分异特征以及成因进行分析。结果表明：（1）2000-2014年期间,西北地区湖泊总面积呈整体增加的态势,由1.58×10⁴ km²增加为1.74×10⁴ km²。（2）在研究时段内,我国西北地区湖泊面积在整体增加的同时也表现出明显的空间差异。根据湖泊面积变化不同,研究区可以被划分为稳定、扩张、萎缩3种类型和5个区域：新疆维吾尔自治区北部与青海省南部为湖泊面积稳定区;塔里木盆地、昆仑山北麓、阿尔金山、柴达木盆地、可可西里地区、祁连山南麓至三江源北部大片区域为湖泊面积扩张区;由准噶尔盆地和吐鲁番盆地组成的北疆中部地区和喀喇昆仑山北坡山区为湖泊萎缩区。（3）受研究区复杂的自然人文环境影响,在不同区域引起湖泊面积变化的原因不尽相同：总体而言,降水增加、气温上升导致的冰川融水增加和冻土水分释放是湖泊面积呈现扩张趋势地区的最主要原因;在湖泊面积稳定区,湖泊所处的地形条件以及湖泊与河流间强烈的水量交换起着关键作用;日益增强的人类活动是湖泊萎缩区的主要影响要素,但在喀喇昆仑山北坡地区,冰川物质平衡状态的变化也可能发挥着重要作用。     

基于小波理论的干旱区内陆湖泊叶绿素a的TM影像遥感反演

叶绿素a(Chl-a)是衡量湖泊富营养化的重要指标,利用遥感技术动态监测面积较大的湖区水体中Chl-a浓度对了解湖区水质具有重要意义。以内蒙古乌梁素海为例,提出利用TM影像中的水体实测光谱进行小波去噪和光谱信号重构,并结合水质采样实测数据进行神经网络拟合,建立光谱反射率比值与Chl-a浓度的反演模型的方法。结果显示:小波理论和神经网络相结合的模型可以适用于估算乌梁素海Chl-a浓度,去噪后Chl-a浓度与光谱信号的相关系数(-0.575)较去噪前(-0.417)明显增强,去噪后的采样点光谱信号与Chl-a浓度之间表现出比原始信号更强的负相关性,证明了去噪后的观测值可进一步减弱随机误差的干扰和去除噪声,使观测数据更加逼近Chl-a浓度的真实情况,图像去噪重构结果显示重构后的光谱范围较之前有所缩窄,部分信号点得到了增强,但基本剖面结构并没有产生较大变化,反演模型的平均相对误差为0.142,与其他研究相比差别不大。反演得出的乌梁素海Chl-a浓度分布反映了污染源的分布,同时说明了乌梁素海Chl-a浓度在时空分布上呈现一定的差异,表现为丰水期呈现浅水区Chl-a浓度值高于湖心区,来水区高于其他湖区的分布趋势,枯水期乌梁素海中部呈现由西向东Chl-a浓度逐步降低的分布规律,西部呈均一化分布。反演模型基本可以满足实际预测的需要。但模型在具体应用中在影像数据采集、数据量及算法方面还有很大的改进空间,该方法的提出为干旱区大型内陆水体富营养化的实时定量遥感监测提供了新的解决方案。