Time Series Analysis Of Primary Productivity Along The East Coast Of India Using Oceansat-2 Ocean Colour Monitor (O cm)

Lakshmi, E.; Pratap, Deva; Nagamani, P. V.; Rao, K. H.; Latha, T. Preethi; Choudhury, S. B.

doi:10.5194/isprsarchives-xl-8-1049-2014

Cited by 8 publications

(7 citation statements)

References 12 publications

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“…Phytoplankton, being both a primary producer and important component of aquatic ecosystems, can create fresh organic matter, carbon dioxide (CO 2 ), and energy for the usage of other trophic levels (Deines, Bunnell, & Rogers, 2015;Deng, Zhang, Li, Shi, & Zhang, 2017;Lakshmi et al, 2014), thus playing a fundamental role in aquatic food chains (Wu, He, Cai, Zhang, & Chen, 2014;Cao, Chu, Du, Hou, & Wang, 2016), material circulation, energy flow, and information transmission (Cai, Zhu, & Li, 2013). Phytoplankton community characteristics and primary productivity (PP), which reflect the ecological and nutritional status of water, are all important indicators for the estimation of the productive capacity and the evaluation of eutrophication, trophic level, and the health status of water environments (Islam, Alfasane, & Khondker, 2013;Patil & Chavan, 2010).…”

Section: Introductionmentioning

confidence: 99%

Characteristics of phytoplankton community and water net primary productivity response to the nutrient status of the Poyang Lake and Gan River, China

et al. 2019

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Phytoplankton community characteristics and associative primary productivity, which reflect the ecological and nutritional status of water, are sensitive to environmental change. Particularly, nutrient inputs have a significant effect on phytoplankton growth and development as well as the biogeochemical cycle of watersheds. We investigated the phytoplankton community and nutrient status downstream from the Gan River into Poyang Lake. On a catchment scale, the phytoplankton communities and associative primary productivity from these two water bodies differed. The Poyang Lake phytoplankton community is composed of seven phyla of algae, whereas the Gan River is composed of six, the dominant phyla of phytoplankton being Bacillariophyta and Cryptophyta in Poyang Lake and Gan River, respectively. Phytoplankton abundance and primary productivity were significantly higher in Poyang Lake. Lower nitrogen (N) and phosphorous (P) concentrations and higher carbon (C) and silicon (Si) concentrations significantly affected the phytoplankton communities and primary productivity distribution in the entire Poyang Lake Basin. In this regard, we found a significant correlation between the phytoplankton community of the Gan River and P and N, whereas N and Si primarily regulated the phytoplankton community structure of Poyang Lake. Moreover, we found a significant correlation between DTN, Si/P, DIC/P, and primary productivity in the Gan River, whereas NH4+ jointly controlled primary productivity in Poyang Lake. Furthermore, the Margalef Richness Index (0.84–2.41) can be indicative of the environmental water quality status; and we determined that the most area of Poyang Lake and Gan River both were P restriction and moderately polluted, whereas the entrance of the Gan River into Poyang Lake was seriously polluted, which confirms that the Gan River is a main and crucial source of Poyang Lake pollution. Nanjishan Nature Reserve was already slightly eutrophic due to the high nutrient content and a large number of algae in the south‐east of Poyang Lake, but the Gan River had good river fluidity, so some areas of the Gan River were oligotrophic.

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Section: Introductionmentioning

confidence: 99%

Characteristics of phytoplankton community and water net primary productivity response to the nutrient status of the Poyang Lake and Gan River, China

et al. 2019

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“…When either system is employed, phytoplankton creates organic matter from inorganic compounds and carbon dioxide, which is called phytoplankton primary production [1,2]. The rate of phytoplankton primary production is a fundamental property of aquatic system and measurements of primary production are critical to our understanding of the carbon cycle [3].…”

Section: Introductionmentioning

confidence: 99%

Temporal and Spatial Dynamics of Phytoplankton Primary Production in Lake Taihu Derived from MODIS Data

Deng

Zhang

et al. 2017

Remote Sensing

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Abstract:We investigated the long-term variations in primary production in Lake Taihu using Moderate Resolution Imaging Spectroradiometer (MODIS) data, based on the Vertically Generalized Production Model (VGPM). We firstly test the applicability of VGPM in Lake Taihu by comparing the results between the model-derived and the in situ results, and the results showed that a strong significant correlation (R 2 = 0.753, p < 0.001, n = 63). Then, VGPM was used to map temporal-spatial distributions of primary production in Lake Taihu. The annual mean daily primary production of Lake Taihu from 2003 to 2013 was 1094.06 ± 720.74 mg·C·m −2 ·d −1 . Long-term primary production maps estimated from the MODIS data demonstrated marked temporal and spatial variations. Spatially, the primary production in bays, especially in Zhushan Bay and Meiliang Bay, was consistently higher than that in the open area of Lake Taihu, which was caused by chlorophyll-a concentrations resulting from high nutrient concentrations. Temporally, the seasonal variation of primary production from 2003 to 2013 was: summer > autumn > spring > winter, with significantly higher primary production found in summer and autumn than in winter (p < 0.005, t-test), primarily caused by seasonal variations in water temperature. On a monthly scale, the primary production exerts a clear character of bimodality, increasing from January to May, decreasing in June or July, and finally reaching its highest value during August or September. Wind is another important factor that could affect the spatial variations of primary production in the large, eutrophic and shallow Lake Taihu.

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“…Besides that, primary productivity is the base of the food web in marine ecosystems, and it influences the nature of marine food webs and the abundance of marine organisms. It is the ultimate source of energy for all organisms in an ecosystem [4,5]. However, long-term variability in PP has not been explored [6].…”

Section: Introductionmentioning

confidence: 99%

Assessing the distribution and variation characteristics of marine primary productivity in the coastal marine area of Vietnam South Centre

Hieu

Huan

Thi

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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Primary production (PP) of phytoplankton plays an essential role in food web dynamics, biogeochemical cycles and marine fisheries. It is used as one of the basic information for evaluating marine ecosystems. In this paper, monthly composite PP data on a 4 km x 4 km grid for the period 2003-2020 was used to evaluate the distributional characteristics of PP in the coastal marine area of Vietnam South Centre. The statistical results show that the climatological average of PP in 18 years reached 449.2 mgC/m2/day, ranged from 272.1 to 14,205.4 mgC/m2/day. The PP has seasonal and spatial variations. In time, the lowest value of PP was in spring, and the highest was in winter; in space, PP tended to decrease from shore to offshore, PP was higher in coastal areas than in the open sea areas. During the northeast monsoon season, PP increased by more than 1000 mgC/m2/day in the coastal area. Meanwhile, in the southwest monsoon season, due to the ecological influence of the upwelling phenomenon, PP increased with a value greater than 1500 mgC/m2/day, distributed along the coastline of Ninh Thuan - Binh Thuan. Primary productivity positively correlated with chlorophyll content but negatively correlated with sea surface temperature with correlation coefficients of 0.9 and -0.6, respectively. There was a weak correlation between PP and ONI with correlation coefficients of -0.23. The temporal-spatial variation of PP was affected by the ENSO (El Niño-Southern Oscillation) phenomenon, the positive phase of ENSO (El Niño conditions) corresponded to lower PP, and the negative phase of ENSO (La Niña conditions) corresponded to higher PP. The research results from this paper can be used as a reference in marine ecosystem management.

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Time Series Analysis Of Primary Productivity Along The East Coast Of India Using Oceansat-2 Ocean Colour Monitor (O cm)

Cited by 8 publications

References 12 publications

Characteristics of phytoplankton community and water net primary productivity response to the nutrient status of the Poyang Lake and Gan River, China

Characteristics of phytoplankton community and water net primary productivity response to the nutrient status of the Poyang Lake and Gan River, China

Temporal and Spatial Dynamics of Phytoplankton Primary Production in Lake Taihu Derived from MODIS Data

Assessing the distribution and variation characteristics of marine primary productivity in the coastal marine area of Vietnam South Centre

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