Effect of Stream Acidification on Periphyton Composition, Chlorophyll, and Productivity

1986 ◽  
Vol 43 (10) ◽  
pp. 1846-1858 ◽  
Author(s):  
Patrick J. Mulholland ◽  
J. W. Elwood ◽  
A. V. Palumbo ◽  
R. J. Stevenson

We determined periphyton community composition, cell number and biovolume, chlorophyll a density, and areal and chlorophyll-specific primary productivity along a pH (4.5–6.4) and total monomeric aluminum (0.018–0.242 mg∙L−1) gradient in high-elevation streams in the Great Smoky Mountains National Park (eastern Tennessee). The periphyton community was generally dominated by small chrysophytes and blue-green algae at sites with baseflow pH ≥ 5.5 and by diatoms and, to a lesser extent, green algae at sites with pH ≤ 5. Total cell biovolume, chlorophyll a density, and areal primary productivity were greatest at the most acidic sites. Chlorophyll-specific rates of primary production were not significantly different among sites, although the most acidic site was lowest. Experiments involving short-term manipulation of pH, inorganic carbon, PO4, and aluminum concentrations resulted in some statistically significant changes in chlorophyll-specific productivity, indicating that inorganic carbon concentrations at sites with pH < 6 and increased aluminum concentrations at sites with pH ≤ 5 may limit productivity at times. Studies of phosphatase activity and PO4 turnover indicated that the least acidic sites were the most phosphorus limited, perhaps the result of coprecipitation of aluminum and PO4 as pH increased downstream from acidified reaches. However, the low cell biovolume, Chlorophyll a density, and areal primary productivity at the second-order sites with pH ≥ 5.7, compared with the highly acidic second- and third-order sites (pH ≤ 5), appear to be the result of increased density of scraper/grazer macro-invertebrates at the higher pH sites. Low chlorophyll a density and areal primary productivity at the much larger fourth-order site (pH 6.4) may be the result of physical factors, such as increased scouring of the streambed, rather than chemical or biological factors.

2017 ◽  
Vol 19 (2) ◽  
pp. 113
Author(s):  
Kusuma Wardani Laksitaningrum ◽  
Wirastuti Widyatmanti

<p align="center"><strong>ABSTRAK</strong></p><p class="abstrak">Waduk Gajah Mungkur (WGM) adalah bendungan buatan yang memiliki luas genangan maksimum 8800 ha, terletak di Desa Pokoh Kidul, Kecamatan Wonogiri, Kabupaten Wonogiri. Kondisi perairan WGM dipengaruhi oleh faktor klimatologis, fisik, dan aktivitas manusia yang dapat menyumbang nutrisi sehingga mempengaruhi status trofiknya. Tujuan dari penelitian ini adalah mengkaji kemampuan citra Landsat 8 OLI untuk memperoleh parameter-parameter yang digunakan untuk menilai status trofik, menentukan dan memetakan status trofik yang diperoleh dari citra Landsat 8 OLI, dan mengevaluasi hasil pemetaan dan manfaat citra penginderaan jauh untuk identifikasi status trofik WGM. Identifikasi status trofik dilakukan berdasarkan metode <em>Trophic State Index</em> (TSI) Carlson (1997) menggunakan tiga parameter yaitu kejernihan air, total fosfor, dan klorofil-a. Model yang diperoleh berdasar pada rumus empiris dari hasil uji regresi antara pengukuran di lapangan dan nilai piksel di citra Landsat 8 OLI. Model dipilih berdasarkan nilai koefisien determinasi (R<sup>2</sup>) tertinggi. Hasil penelitian merepresentasikan bahwa nilai R<sup>2</sup> kejernihan air sebesar 0,813, total fosfor sebesar 0,268, dan klorofil-a sebesar 0,584. Apabila nilai R<sup>2 </sup>mendekati 1, maka semakin baik model regresi dapat menjelaskan suatu parameter status trofik. Berdasarkan hasil kalkulasi diperoleh distribusi yang terdiri dari kelas eutrofik ringan, eutrofik sedang, dan eutrofik berat yaitu pada rentang nilai indeks 50,051 – 80,180. Distribusi terbesar adalah eutrofik sedang. Hal tersebut menunjukkan tingkat kesuburan perairan yang tinggi dan dapat membahayakan makhluk hidup lain.</p><p><strong>Kata kunci: </strong>Waduk Gajah Mungkur, citra Landsat 8 OLI, regresi, TSI, status trofik</p><p class="judulABS"><strong>ABSTRACT</strong></p><p class="Abstrakeng">Gajah Mungkur Reservoir is an artificial dam that has a maximum inundated areas of 8800 ha, located in Pokoh Kidul Village, Wonogiri Regency. The reservoir’s water conditions are affected by climatological and physical factors, as well as human activities that can contribute to nutrients that affect its trophic state. This study aimed to assess the Landsat 8 OLI capabilities to obtain parameters that are used to determine its trophic state, identifying and mapping the trophic state based on parameters derived from Landsat 8 OLI, and evaluating the results of the mapping and the benefits of remote sensing imagery for identification of its trophic state. Identification of trophic state is based on Trophic State Index (TSI) Carlson (1997), which uses three parameters there are water clarity, total phosphorus, and chlorophyll-a. The model is based on an empirical formula of regression between measurements in the field and the pixel values in Landsat 8 OLI. Model is selected on the highest value towards coefficient of determination (R<sup>2</sup>). The results represented that R<sup>2</sup> of water clarity is 0.813, total phosphorus is 0.268, and chlorophyll-a is 0.584. If R<sup>2</sup> close to 1, regression model will describe the parameters of the trophic state better. Based on the calculation the distribution consists of mild eutrophic, moderate eutrophic, and heavy eutrophic that has index values from 50.051 to 80.18. The most distribution is moderate eutrophication, and it showed the high level of trophic state and may harm other living beings.</p><p><strong><em>Keywords: </em></strong><em>Gajah Mungkur Reservoir, </em><em>L</em><em>andsat 8 OLI satellite imagery, regression, TSI, trophic state</em></p>


Author(s):  
Sina Keller ◽  
Philipp Maier ◽  
Felix Riese ◽  
Stefan Norra ◽  
Andreas Holbach ◽  
...  

Inland waters are of great importance for scientists as well as authorities since they are essential ecosystems and well known for their biodiversity. When monitoring their respective water quality, in situ measurements of water quality parameters are spatially limited, costly and time-consuming. In this paper, we propose a combination of hyperspectral data and machine learning methods to estimate and therefore to monitor different parameters for water quality. In contrast to commonly-applied techniques such as band ratios, this approach is data-driven and does not rely on any domain knowledge. We focus on CDOM, chlorophyll a and turbidity as well as the concentrations of the two algae types, diatoms and green algae. In order to investigate the potential of our proposal, we rely on measured data, which we sampled with three different sensors on the river Elbe in Germany from 24 June–12 July 2017. The measurement setup with two probe sensors and a hyperspectral sensor is described in detail. To estimate the five mentioned variables, we present an appropriate regression framework involving ten machine learning models and two preprocessing methods. This allows the regression performance of each model and variable to be evaluated. The best performing model for each variable results in a coefficient of determination R 2 in the range of 89.9% to 94.6%. That clearly reveals the potential of the machine learning approaches with hyperspectral data. In further investigations, we focus on the generalization of the regression framework to prepare its application to different types of inland waters.


1998 ◽  
Vol 32 (7) ◽  
pp. 2220-2223 ◽  
Author(s):  
David Simon ◽  
Stuart Helliwell
Keyword(s):  

2014 ◽  
Vol 11 (4) ◽  
pp. 1077-1084 ◽  
Author(s):  
E. M. Thaysen ◽  
S. Jessen ◽  
P. Ambus ◽  
C. Beier ◽  
D. Postma ◽  
...  

Abstract. Dissolved inorganic carbon (DIC) fluxes across the vadose zone are influenced by a complex interplay of biological, chemical and physical factors. A novel soil mesocosm system was evaluated as a tool for providing information on the mechanisms behind DIC percolation to the groundwater from unplanted soil. Carbon dioxide partial pressure (pCO2), alkalinity, soil moisture and temperature were measured with depth and time, and DIC in the percolate was quantified using a sodium hydroxide trap. Results showed good reproducibility between two replicate mesocosms. The pCO2 varied between 0.2 and 1.1%, and the alkalinity was 0.1–0.6 meq L−1. The measured cumulative effluent DIC flux over the 78-day experimental period was 185–196 mg L−1 m−2 and in the same range as estimates derived from pCO2 and alkalinity in samples extracted from the side of the mesocosm column and the drainage flux. Our results indicate that the mesocosm system is a promising tool for studying DIC percolation fluxes and other biogeochemical transport processes in unsaturated environments.


Author(s):  
T. K. Kalenik ◽  
E. V. Dobrynina ◽  
V. M. Ostapenko ◽  
Y. Torii ◽  
J. Hiromi

The article presents a study of the process of isolation of natural blue pigment – phycocyanin from the biomass of blue-green algae Spirulina platensis by water extraction, followed using its water solution as a natural food colorant in the production of milk chocolate. Recently, modern food enterprises are pursuing their policy towards expanding the range of products, which is closely related to the increasing needs of the population in food of a new kind. One of the solutions to this problem is the use of food additives of both natural and synthetic origin. Among the similar components widespread found dyes synthetic origin, which have high coverage rates and relatively low cost. However, many of the permitted in our country synthetic food dyes are banned in several developed countries as potentially dangerous to health. Synthetic dyes of red, yellow and green color have many natural analogues – carotenoids, lutein, chlorophyll, etc., except for the blue dye, the analogue of which is only anthocyanins, which are unstable depending on the pH conditions. In this article were identified phycobiliproteins and chlorophyll a in a water extract of spirulina. The mass concentration of phycobiliproteins and chlorophyll a was determined by spectrophotometric method before and after the addition of ammonium sulfate. A comparative analysis of the effect of fractionation (salting out) on the degree of purification of the phycocyanin solution. Presented and described the technological scheme of extraction of phycocyanin which allows to use it in food technologies as an extract or a dry powder. Established the concentration of phycocyanin extract from blue-green algae spirulina to produce milk blue chocolate. Determined organoleptic and hygienic characteristics of the finished product


2021 ◽  
Vol 118 (52) ◽  
pp. e2115283118
Author(s):  
Heng Huang ◽  
Salvatore Calabrese ◽  
Ignacio Rodriguez-Iturbe

Soil heterotrophic respiration (Rh) represents an important component of the terrestrial carbon cycle that affects whether ecosystems function as carbon sources or sinks. Due to the complex interactions between biological and physical factors controlling microbial growth, Rh is uncertain and difficult to predict, limiting our ability to anticipate future climate trajectories. Here we analyze the global FLUXNET 2015 database aided by a probabilistic model of microbial growth to examine the ecosystem-scale dynamics of Rh and identify primary predictors of its variability. We find that the temporal variability in Rh is consistently distributed according to a Gamma distribution, with shape and scale parameters controlled only by rainfall characteristics and vegetation productivity. This distribution originates from the propagation of fast hydrologic fluctuations on the slower biological dynamics of microbial growth and is independent of biome, soil type, and microbial physiology. This finding allows us to readily provide accurate estimates of the mean Rh and its variance, as confirmed by a comparison with an independent global dataset. Our results suggest that future changes in rainfall regime and net primary productivity will significantly alter the dynamics of Rh and the global carbon budget. In regions that are becoming wetter, Rh may increase faster than net primary productivity, thereby reducing the carbon storage capacity of terrestrial ecosystems.


2007 ◽  
Vol 20 (1) ◽  
Author(s):  
M. A. TOYUB ◽  
S.R. AHMED ◽  
M. I. MIAH ◽  
M. A. B. HABIB

The growth performance of green alga, Chlorella ellipsoidea was studied in a laboratory in different concentrations of fertilizer factory effluent media (FFEM). Five different concentrations viz. 40, 45, 50, 55 and 60% of FFEM and bold basal medium (BBM) (control) were used with three replications for a period of three months. Each trial was done for a period of 16 days. The initial cell density of C. ellipsoidea was 2.5×105 cells.ml-1 which attained a maximum density of 198.49x105 cells.ml-1 in BBM followed by 182.07, 157.41, 142.34, 137.57 and 121.35 (x105 cells. ml-1) in 50, 55, 45, 60 and 40 % FFEM, respectively on the 10th day of culture. A similar trend was observed in the case of chlorophyll a content and the range was 5.85 to 9.39 mg.l-1. The specific growth rate (SGR, μ.day-1) on the basis of cell number and chlorophyll a were found at 0.40 to 0.44 and 0.41 to 0.45, respectively and was significantly (p<0.05) higher in BBM. The total biomass was found at 629.13 and 541.36 mg.l-1 in BBM and 50% FFEM, respectively. The overall growth performance of C. ellipsoidea was significantly (p<0.05) higher in 50% FFEM than in other concentrations of FFEM. The cultured microalga was found nutritionally rich.


2020 ◽  
Vol 12 (5) ◽  
pp. 840 ◽  
Author(s):  
Dabin Lee ◽  
SeungHyun Son ◽  
HuiTae Joo ◽  
Kwanwoo Kim ◽  
Myung Joon Kim ◽  
...  

In recent years, the change of marine environment due to climate change and declining primary productivity have been big concerns in the East/Japan Sea, Korea. However, the main causes for the recent changes are still not revealed clearly. The particulate organic carbon (POC) to chlorophyll-a (chl-a) ratio (POC:chl-a) could be a useful indicator for ecological and physiological conditions of phytoplankton communities and thus help us to understand the recent reduction of primary productivity in the East/Japan Sea. To derive the POC in the East/Japan Sea from a satellite dataset, the new regional POC algorithm was empirically derived with in-situ measured POC concentrations. A strong positive linear relationship (R2 = 0.6579) was observed between the estimated and in-situ measured POC concentrations. Our new POC algorithm proved a better performance in the East/Japan Sea compared to the previous one for the global ocean. Based on the new algorithm, long-term POC:chl-a ratios were obtained in the entire East/Japan Sea from 2003 to 2018. The POC:chl-a showed a strong seasonal variability in the East/Japan Sea. The spring and fall blooms of phytoplankton mainly driven by the growth of large diatoms seem to be a major factor for the seasonal variability in the POC:chl-a. Our new regional POC algorithm modified for the East/Japan Sea could potentially contribute to long-term monitoring for the climate-associated ecosystem changes in the East/Japan Sea. Although the new regional POC algorithm shows a good correspondence with in-situ observed POC concentrations, the algorithm should be further improved with continuous field surveys.


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