The influence of the monsoon climate on phytoplankton in the Shibpukur pool of Shiva temple in Burdwan, West Bengal, India

Barınova, Sophia; Keshri, Jai Prakash; Ghosh, Sumon; Sikdar, J K

doi:10.2478/v10194-011-0044-y

Cited by 11 publications

(6 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Environmental cues are certain predictable factors (e.g. photoperiod, temperature, precipitation) providing reliable signals to anticipate optimal agricultural options 12 13 , breeding conditions 14 , succession 15 , wildlife adaptation strategies 16 as well as human system infrastructure 17 . In a perturbed climate, such as those simulated under various RCP greenhouse gas scenarios, precipitation stochasticity and cyclicity will likely change, resulting in altered precipitation predictability from present.…”

mentioning

confidence: 99%

Predictability of Precipitation Over the Conterminous U.S. Based on the CMIP5 Multi-Model Ensemble

Jiang

Felzer

Sahagian

2016

Sci Rep

View full text Add to dashboard Cite

Characterizing precipitation seasonality and variability in the face of future uncertainty is important for a well-informed climate change adaptation strategy. Using the Colwell index of predictability and monthly normalized precipitation data from the Coupled Model Intercomparison Project Phase 5 (CMIP5) multi-model ensembles, this study identifies spatial hotspots of changes in precipitation predictability in the United States under various climate scenarios. Over the historic period (1950–2005), the recurrent pattern of precipitation is highly predictable in the East and along the coastal Northwest, and is less so in the arid Southwest. Comparing the future (2040–2095) to the historic period, larger changes in precipitation predictability are observed under Representative Concentration Pathways (RCP) 8.5 than those under RCP 4.5. Finally, there are region-specific hotspots of future changes in precipitation predictability, and these hotspots often coincide with regions of little projected change in total precipitation, with exceptions along the wetter East and parts of the drier central West. Therefore, decision-makers are advised to not rely on future total precipitation as an indicator of water resources. Changes in precipitation predictability and the subsequent changes on seasonality and variability are equally, if not more, important factors to be included in future regional environmental assessment.

show abstract

mentioning

confidence: 99%

Predictability of Precipitation Over the Conterminous U.S. Based on the CMIP5 Multi-Model Ensemble

Jiang

Felzer

Sahagian

2016

Sci Rep

View full text Add to dashboard Cite

show abstract

“…During the monsoon period the concentration of TP had been increasing in the reservoirs due to intense rainfall, and a decreased concentration of TN is due to higher dilution [36]. The same scenario is being frequently observed in other tropical and subtropical Asian reservoirs, including those of Bangladesh [37], India [38], Nepal [39], and Sri Lanka [40].…”

Section: Introductionmentioning

confidence: 58%

Roles of Nutrient Regime and N:P Ratios on Algal Growth in 182 Korean Agricultural Reservoirs

Mamun¹,

Lee²,

An³

2018

Pol. J. Environ. Stud.

View full text Add to dashboard Cite

The principal aim of this study was to evaluate how nutrient regime and TN:TP ratios regulate algal chlorophyll in Korean agricultural reservoirs. We developed empirical models of log-transformed CHL-TN:TP ratio based on seasonality. Winter algal chlorophyll was highly influenced by the ratio of TN:TP (R 2 = 0.78, p<0.01) compared to chlorophyll-a in the spring (R 2 = 0.38, p<0.01), summer (R 2 = 0.50, p<0.01), and autumn (R 2 = 0.44, p<0.01), respectively. Regression analysis of log-transformed TN:TP ratios-TP and TN:TP ratios-TN on CHL-a showed that the ratio of TN:TP are highly influenced by the concentration of TP rather than TN. The ambient nutrient concentrations of the agricultural reservoirs showed positive linear relationships with water quality parameters of water temperature, pH, BOD, COD, DO, and TSS. Summer monsoon is an important factor that determines the nutrient regime, algal chlorophyll, and suspended solids in the reservoirs. Nutrient enrichment bioassays (NEBs) suggest that phosphorus was the primary limiting nutrient for algae production in the agricultural reservoirs. Analysis of trophic state index deviation (TSID) showed that P-limitation and biogenic turbidity (non-algal light limitation) were key regulating factors for algal growth in the reservoirs. Overall, our study suggested that the TN:TP ratio was the key regulating factor for algal biomass in the reservoirs.

show abstract

“…And, if in the boreal region of algal development has three peaks during free of ice-period [10], in the more southern areas it is about two [6], or southern up to one [11,12].…”

Section: Resultsmentioning

confidence: 99%

“…Material for this study comes from the last twenty years of research in the rivers and lakes of Eurasia [6][7][8][9][10][11][12][13][14][15][16][17].…”

Section: Study Area and Methodsmentioning

confidence: 99%

Algal Indication of Climatic Gradients

Barınova¹

2015

AJEP

Self Cite

View full text Add to dashboard Cite

Bio-indication is only possible because algal communities respond to environmental changes in a consistent way. In particular, the vectors of algal changes over latitudes and altitudes are well correlated with respective climatic gradients. The relationships between biotic and climatic changes are insufficiently studied so far, but regularities are analyzable provided the adequate geographic scale. Thus the impact of seasonality requires ecological study of the aquatic object as a whole or a considerable part of it. For the gradient analysis of altitudinal changes the sampling data must cover a region of diverse relief, whereas latitudinal gradients are traceable of sizeable parts of continents encompassing different climatic zones. In our studies, the impact of temperature changes is invariably significant when revealed with the help of bio-indication analysis. In the boreal realm, algal development most typically show three seasonal peaks correlated with the dynamics of ice cover, whereas two to single peak are distinguished down the latitudes. The latitudinal dynamics is fairly obvious in the quantitative relationships between diatoms, green, golden algae, and Infraspecies-Species variability. With climatic stress ascending to the north, the role of diatoms, but in the high Arctic regions drops significantly. The Infraspecific variability index increases from 1.09 up to 1.42. To the south, over the mountainous areas of Tajikistan, Georgia, Mediterranean and India, diatoms consistently decrease over the altitudinal range 200 -2500 meters, while the other algal groups betray a less significant variation. Such regularities are more obvious with statistical correlation of climatic variables and freshwater algal diversity. Thus the distribution of phytoplankton species in the rivers of Yakutia and Chukotka over the gradient of DHI index and the duration of the ice free period is controlled by sun light intensity in the first place, but also reflects variation in the climatic stress resistance, the most prominent in the case of diatom algae.

show abstract

The influence of the monsoon climate on phytoplankton in the Shibpukur pool of Shiva temple in Burdwan, West Bengal, India

Cited by 11 publications

References 21 publications

Predictability of Precipitation Over the Conterminous U.S. Based on the CMIP5 Multi-Model Ensemble

Predictability of Precipitation Over the Conterminous U.S. Based on the CMIP5 Multi-Model Ensemble

Roles of Nutrient Regime and N:P Ratios on Algal Growth in 182 Korean Agricultural Reservoirs

Algal Indication of Climatic Gradients

Contact Info

Product

Resources

About