Spatial pattern analysis of zooplankton community of Bakreswar reservoir, India
Abstract Rural populations often depend on small reservoirs for their water supply. These reservoirs are engineered systems designed to serve specific purposes. Water from these sources is not only utilized for drinking purposes, but also for commercial and industrial use. Thus, a thorough limnologi...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Chakrabarty, Moitreyee [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017 |
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| Schlagwörter: |
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| Anmerkung: |
© Joint Center on Global Change and Earth System Science of the University of Maryland and Beijing Normal University and Springer-Verlag Berlin Heidelberg 2017 |
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| Übergeordnetes Werk: |
Enthalten in: Energy, ecology and environment - Berlin : Springer, 2016, 2(2017), 3 vom: 31. März, Seite 198-206 |
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| Übergeordnetes Werk: |
volume:2 ; year:2017 ; number:3 ; day:31 ; month:03 ; pages:198-206 |
| Links: |
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| DOI / URN: |
10.1007/s40974-017-0057-8 |
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SPR038023318 |
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| 245 | 1 | 0 | |a Spatial pattern analysis of zooplankton community of Bakreswar reservoir, India |
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| 520 | |a Abstract Rural populations often depend on small reservoirs for their water supply. These reservoirs are engineered systems designed to serve specific purposes. Water from these sources is not only utilized for drinking purposes, but also for commercial and industrial use. Thus, a thorough limnological study is essential. The present study is carried out at Bakreswar reservoir in Birbhum district, which was created by the dam, built on Bakreswar River. The major purpose of the reservoir is to supply drinking water to the surrounding villages and to use Bakreswar Thermal Power Station for cooling their power plant. A previous study on this reservoir has shown temporal variation of environmental factors as well as good assemblage of zooplankton. In order to get a more detailed preview on zooplankton groups, seasonal diversity is calculated for four major groups of zooplanktons (Cladocera, Ostracoda, Copepoda and Rotifera) with the software PAST. Spatial pattern analysis of zooplankton community is also performed to propose possible hypotheses explaining reasons underlying the causal factors for any such variation. Moreover, community ordination is done using SPSS 20 to understand the overall ecosystem functioning of the reservoir. The results show that Station I and Station III are more diversified in all the seasons compared to Station II. The mode of distribution is clumped, and the degree of clumping varied with different functional groups of studied zooplankton as seen in the two methods used. So it can be concluded that the zooplankton community of this reservoir is diverse and shows horizontal clumped distribution pattern and niche separation among the groups to avoid competition. The results help in formulating proper strategies for advanced water quality management and conservation of reservoir ecosystem. | ||
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| 700 | 1 | |a Banerjee, Arnab |4 aut | |
| 700 | 1 | |a Mukherjee, Joyita |4 aut | |
| 700 | 1 | |a Rakshit, Nabyendu |4 aut | |
| 700 | 1 | |a Ray, Santanu |4 aut | |
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10.1007/s40974-017-0057-8 doi (DE-627)SPR038023318 (SPR)s40974-017-0057-8-e DE-627 ger DE-627 rakwb eng Chakrabarty, Moitreyee verfasserin aut Spatial pattern analysis of zooplankton community of Bakreswar reservoir, India 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Joint Center on Global Change and Earth System Science of the University of Maryland and Beijing Normal University and Springer-Verlag Berlin Heidelberg 2017 Abstract Rural populations often depend on small reservoirs for their water supply. These reservoirs are engineered systems designed to serve specific purposes. Water from these sources is not only utilized for drinking purposes, but also for commercial and industrial use. Thus, a thorough limnological study is essential. The present study is carried out at Bakreswar reservoir in Birbhum district, which was created by the dam, built on Bakreswar River. The major purpose of the reservoir is to supply drinking water to the surrounding villages and to use Bakreswar Thermal Power Station for cooling their power plant. A previous study on this reservoir has shown temporal variation of environmental factors as well as good assemblage of zooplankton. In order to get a more detailed preview on zooplankton groups, seasonal diversity is calculated for four major groups of zooplanktons (Cladocera, Ostracoda, Copepoda and Rotifera) with the software PAST. Spatial pattern analysis of zooplankton community is also performed to propose possible hypotheses explaining reasons underlying the causal factors for any such variation. Moreover, community ordination is done using SPSS 20 to understand the overall ecosystem functioning of the reservoir. The results show that Station I and Station III are more diversified in all the seasons compared to Station II. The mode of distribution is clumped, and the degree of clumping varied with different functional groups of studied zooplankton as seen in the two methods used. So it can be concluded that the zooplankton community of this reservoir is diverse and shows horizontal clumped distribution pattern and niche separation among the groups to avoid competition. The results help in formulating proper strategies for advanced water quality management and conservation of reservoir ecosystem. Diversity (dpeaa)DE-He213 Paired-quadrat variance method (dpeaa)DE-He213 Principal component analysis (dpeaa)DE-He213 Index of dispersion (dpeaa)DE-He213 Mean crowding (dpeaa)DE-He213 Banerjee, Arnab aut Mukherjee, Joyita aut Rakshit, Nabyendu aut Ray, Santanu aut Enthalten in Energy, ecology and environment Berlin : Springer, 2016 2(2017), 3 vom: 31. März, Seite 198-206 (DE-627)847584267 (DE-600)2846872-7 2363-8338 nnns volume:2 year:2017 number:3 day:31 month:03 pages:198-206 https://dx.doi.org/10.1007/s40974-017-0057-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 2 2017 3 31 03 198-206 |
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10.1007/s40974-017-0057-8 doi (DE-627)SPR038023318 (SPR)s40974-017-0057-8-e DE-627 ger DE-627 rakwb eng Chakrabarty, Moitreyee verfasserin aut Spatial pattern analysis of zooplankton community of Bakreswar reservoir, India 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Joint Center on Global Change and Earth System Science of the University of Maryland and Beijing Normal University and Springer-Verlag Berlin Heidelberg 2017 Abstract Rural populations often depend on small reservoirs for their water supply. These reservoirs are engineered systems designed to serve specific purposes. Water from these sources is not only utilized for drinking purposes, but also for commercial and industrial use. Thus, a thorough limnological study is essential. The present study is carried out at Bakreswar reservoir in Birbhum district, which was created by the dam, built on Bakreswar River. The major purpose of the reservoir is to supply drinking water to the surrounding villages and to use Bakreswar Thermal Power Station for cooling their power plant. A previous study on this reservoir has shown temporal variation of environmental factors as well as good assemblage of zooplankton. In order to get a more detailed preview on zooplankton groups, seasonal diversity is calculated for four major groups of zooplanktons (Cladocera, Ostracoda, Copepoda and Rotifera) with the software PAST. Spatial pattern analysis of zooplankton community is also performed to propose possible hypotheses explaining reasons underlying the causal factors for any such variation. Moreover, community ordination is done using SPSS 20 to understand the overall ecosystem functioning of the reservoir. The results show that Station I and Station III are more diversified in all the seasons compared to Station II. The mode of distribution is clumped, and the degree of clumping varied with different functional groups of studied zooplankton as seen in the two methods used. So it can be concluded that the zooplankton community of this reservoir is diverse and shows horizontal clumped distribution pattern and niche separation among the groups to avoid competition. The results help in formulating proper strategies for advanced water quality management and conservation of reservoir ecosystem. Diversity (dpeaa)DE-He213 Paired-quadrat variance method (dpeaa)DE-He213 Principal component analysis (dpeaa)DE-He213 Index of dispersion (dpeaa)DE-He213 Mean crowding (dpeaa)DE-He213 Banerjee, Arnab aut Mukherjee, Joyita aut Rakshit, Nabyendu aut Ray, Santanu aut Enthalten in Energy, ecology and environment Berlin : Springer, 2016 2(2017), 3 vom: 31. März, Seite 198-206 (DE-627)847584267 (DE-600)2846872-7 2363-8338 nnns volume:2 year:2017 number:3 day:31 month:03 pages:198-206 https://dx.doi.org/10.1007/s40974-017-0057-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 2 2017 3 31 03 198-206 |
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10.1007/s40974-017-0057-8 doi (DE-627)SPR038023318 (SPR)s40974-017-0057-8-e DE-627 ger DE-627 rakwb eng Chakrabarty, Moitreyee verfasserin aut Spatial pattern analysis of zooplankton community of Bakreswar reservoir, India 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Joint Center on Global Change and Earth System Science of the University of Maryland and Beijing Normal University and Springer-Verlag Berlin Heidelberg 2017 Abstract Rural populations often depend on small reservoirs for their water supply. These reservoirs are engineered systems designed to serve specific purposes. Water from these sources is not only utilized for drinking purposes, but also for commercial and industrial use. Thus, a thorough limnological study is essential. The present study is carried out at Bakreswar reservoir in Birbhum district, which was created by the dam, built on Bakreswar River. The major purpose of the reservoir is to supply drinking water to the surrounding villages and to use Bakreswar Thermal Power Station for cooling their power plant. A previous study on this reservoir has shown temporal variation of environmental factors as well as good assemblage of zooplankton. In order to get a more detailed preview on zooplankton groups, seasonal diversity is calculated for four major groups of zooplanktons (Cladocera, Ostracoda, Copepoda and Rotifera) with the software PAST. Spatial pattern analysis of zooplankton community is also performed to propose possible hypotheses explaining reasons underlying the causal factors for any such variation. Moreover, community ordination is done using SPSS 20 to understand the overall ecosystem functioning of the reservoir. The results show that Station I and Station III are more diversified in all the seasons compared to Station II. The mode of distribution is clumped, and the degree of clumping varied with different functional groups of studied zooplankton as seen in the two methods used. So it can be concluded that the zooplankton community of this reservoir is diverse and shows horizontal clumped distribution pattern and niche separation among the groups to avoid competition. The results help in formulating proper strategies for advanced water quality management and conservation of reservoir ecosystem. Diversity (dpeaa)DE-He213 Paired-quadrat variance method (dpeaa)DE-He213 Principal component analysis (dpeaa)DE-He213 Index of dispersion (dpeaa)DE-He213 Mean crowding (dpeaa)DE-He213 Banerjee, Arnab aut Mukherjee, Joyita aut Rakshit, Nabyendu aut Ray, Santanu aut Enthalten in Energy, ecology and environment Berlin : Springer, 2016 2(2017), 3 vom: 31. März, Seite 198-206 (DE-627)847584267 (DE-600)2846872-7 2363-8338 nnns volume:2 year:2017 number:3 day:31 month:03 pages:198-206 https://dx.doi.org/10.1007/s40974-017-0057-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 2 2017 3 31 03 198-206 |
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10.1007/s40974-017-0057-8 doi (DE-627)SPR038023318 (SPR)s40974-017-0057-8-e DE-627 ger DE-627 rakwb eng Chakrabarty, Moitreyee verfasserin aut Spatial pattern analysis of zooplankton community of Bakreswar reservoir, India 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Joint Center on Global Change and Earth System Science of the University of Maryland and Beijing Normal University and Springer-Verlag Berlin Heidelberg 2017 Abstract Rural populations often depend on small reservoirs for their water supply. These reservoirs are engineered systems designed to serve specific purposes. Water from these sources is not only utilized for drinking purposes, but also for commercial and industrial use. Thus, a thorough limnological study is essential. The present study is carried out at Bakreswar reservoir in Birbhum district, which was created by the dam, built on Bakreswar River. The major purpose of the reservoir is to supply drinking water to the surrounding villages and to use Bakreswar Thermal Power Station for cooling their power plant. A previous study on this reservoir has shown temporal variation of environmental factors as well as good assemblage of zooplankton. In order to get a more detailed preview on zooplankton groups, seasonal diversity is calculated for four major groups of zooplanktons (Cladocera, Ostracoda, Copepoda and Rotifera) with the software PAST. Spatial pattern analysis of zooplankton community is also performed to propose possible hypotheses explaining reasons underlying the causal factors for any such variation. Moreover, community ordination is done using SPSS 20 to understand the overall ecosystem functioning of the reservoir. The results show that Station I and Station III are more diversified in all the seasons compared to Station II. The mode of distribution is clumped, and the degree of clumping varied with different functional groups of studied zooplankton as seen in the two methods used. So it can be concluded that the zooplankton community of this reservoir is diverse and shows horizontal clumped distribution pattern and niche separation among the groups to avoid competition. The results help in formulating proper strategies for advanced water quality management and conservation of reservoir ecosystem. Diversity (dpeaa)DE-He213 Paired-quadrat variance method (dpeaa)DE-He213 Principal component analysis (dpeaa)DE-He213 Index of dispersion (dpeaa)DE-He213 Mean crowding (dpeaa)DE-He213 Banerjee, Arnab aut Mukherjee, Joyita aut Rakshit, Nabyendu aut Ray, Santanu aut Enthalten in Energy, ecology and environment Berlin : Springer, 2016 2(2017), 3 vom: 31. März, Seite 198-206 (DE-627)847584267 (DE-600)2846872-7 2363-8338 nnns volume:2 year:2017 number:3 day:31 month:03 pages:198-206 https://dx.doi.org/10.1007/s40974-017-0057-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 2 2017 3 31 03 198-206 |
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10.1007/s40974-017-0057-8 doi (DE-627)SPR038023318 (SPR)s40974-017-0057-8-e DE-627 ger DE-627 rakwb eng Chakrabarty, Moitreyee verfasserin aut Spatial pattern analysis of zooplankton community of Bakreswar reservoir, India 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Joint Center on Global Change and Earth System Science of the University of Maryland and Beijing Normal University and Springer-Verlag Berlin Heidelberg 2017 Abstract Rural populations often depend on small reservoirs for their water supply. These reservoirs are engineered systems designed to serve specific purposes. Water from these sources is not only utilized for drinking purposes, but also for commercial and industrial use. Thus, a thorough limnological study is essential. The present study is carried out at Bakreswar reservoir in Birbhum district, which was created by the dam, built on Bakreswar River. The major purpose of the reservoir is to supply drinking water to the surrounding villages and to use Bakreswar Thermal Power Station for cooling their power plant. A previous study on this reservoir has shown temporal variation of environmental factors as well as good assemblage of zooplankton. In order to get a more detailed preview on zooplankton groups, seasonal diversity is calculated for four major groups of zooplanktons (Cladocera, Ostracoda, Copepoda and Rotifera) with the software PAST. Spatial pattern analysis of zooplankton community is also performed to propose possible hypotheses explaining reasons underlying the causal factors for any such variation. Moreover, community ordination is done using SPSS 20 to understand the overall ecosystem functioning of the reservoir. The results show that Station I and Station III are more diversified in all the seasons compared to Station II. The mode of distribution is clumped, and the degree of clumping varied with different functional groups of studied zooplankton as seen in the two methods used. So it can be concluded that the zooplankton community of this reservoir is diverse and shows horizontal clumped distribution pattern and niche separation among the groups to avoid competition. The results help in formulating proper strategies for advanced water quality management and conservation of reservoir ecosystem. Diversity (dpeaa)DE-He213 Paired-quadrat variance method (dpeaa)DE-He213 Principal component analysis (dpeaa)DE-He213 Index of dispersion (dpeaa)DE-He213 Mean crowding (dpeaa)DE-He213 Banerjee, Arnab aut Mukherjee, Joyita aut Rakshit, Nabyendu aut Ray, Santanu aut Enthalten in Energy, ecology and environment Berlin : Springer, 2016 2(2017), 3 vom: 31. März, Seite 198-206 (DE-627)847584267 (DE-600)2846872-7 2363-8338 nnns volume:2 year:2017 number:3 day:31 month:03 pages:198-206 https://dx.doi.org/10.1007/s40974-017-0057-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 2 2017 3 31 03 198-206 |
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Chakrabarty, Moitreyee @@aut@@ Banerjee, Arnab @@aut@@ Mukherjee, Joyita @@aut@@ Rakshit, Nabyendu @@aut@@ Ray, Santanu @@aut@@ |
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These reservoirs are engineered systems designed to serve specific purposes. Water from these sources is not only utilized for drinking purposes, but also for commercial and industrial use. Thus, a thorough limnological study is essential. The present study is carried out at Bakreswar reservoir in Birbhum district, which was created by the dam, built on Bakreswar River. The major purpose of the reservoir is to supply drinking water to the surrounding villages and to use Bakreswar Thermal Power Station for cooling their power plant. A previous study on this reservoir has shown temporal variation of environmental factors as well as good assemblage of zooplankton. In order to get a more detailed preview on zooplankton groups, seasonal diversity is calculated for four major groups of zooplanktons (Cladocera, Ostracoda, Copepoda and Rotifera) with the software PAST. Spatial pattern analysis of zooplankton community is also performed to propose possible hypotheses explaining reasons underlying the causal factors for any such variation. Moreover, community ordination is done using SPSS 20 to understand the overall ecosystem functioning of the reservoir. The results show that Station I and Station III are more diversified in all the seasons compared to Station II. The mode of distribution is clumped, and the degree of clumping varied with different functional groups of studied zooplankton as seen in the two methods used. So it can be concluded that the zooplankton community of this reservoir is diverse and shows horizontal clumped distribution pattern and niche separation among the groups to avoid competition. 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spatial pattern analysis of zooplankton community of bakreswar reservoir, india |
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Spatial pattern analysis of zooplankton community of Bakreswar reservoir, India |
| abstract |
Abstract Rural populations often depend on small reservoirs for their water supply. These reservoirs are engineered systems designed to serve specific purposes. Water from these sources is not only utilized for drinking purposes, but also for commercial and industrial use. Thus, a thorough limnological study is essential. The present study is carried out at Bakreswar reservoir in Birbhum district, which was created by the dam, built on Bakreswar River. The major purpose of the reservoir is to supply drinking water to the surrounding villages and to use Bakreswar Thermal Power Station for cooling their power plant. A previous study on this reservoir has shown temporal variation of environmental factors as well as good assemblage of zooplankton. In order to get a more detailed preview on zooplankton groups, seasonal diversity is calculated for four major groups of zooplanktons (Cladocera, Ostracoda, Copepoda and Rotifera) with the software PAST. Spatial pattern analysis of zooplankton community is also performed to propose possible hypotheses explaining reasons underlying the causal factors for any such variation. Moreover, community ordination is done using SPSS 20 to understand the overall ecosystem functioning of the reservoir. The results show that Station I and Station III are more diversified in all the seasons compared to Station II. The mode of distribution is clumped, and the degree of clumping varied with different functional groups of studied zooplankton as seen in the two methods used. So it can be concluded that the zooplankton community of this reservoir is diverse and shows horizontal clumped distribution pattern and niche separation among the groups to avoid competition. The results help in formulating proper strategies for advanced water quality management and conservation of reservoir ecosystem. © Joint Center on Global Change and Earth System Science of the University of Maryland and Beijing Normal University and Springer-Verlag Berlin Heidelberg 2017 |
| abstractGer |
Abstract Rural populations often depend on small reservoirs for their water supply. These reservoirs are engineered systems designed to serve specific purposes. Water from these sources is not only utilized for drinking purposes, but also for commercial and industrial use. Thus, a thorough limnological study is essential. The present study is carried out at Bakreswar reservoir in Birbhum district, which was created by the dam, built on Bakreswar River. The major purpose of the reservoir is to supply drinking water to the surrounding villages and to use Bakreswar Thermal Power Station for cooling their power plant. A previous study on this reservoir has shown temporal variation of environmental factors as well as good assemblage of zooplankton. In order to get a more detailed preview on zooplankton groups, seasonal diversity is calculated for four major groups of zooplanktons (Cladocera, Ostracoda, Copepoda and Rotifera) with the software PAST. Spatial pattern analysis of zooplankton community is also performed to propose possible hypotheses explaining reasons underlying the causal factors for any such variation. Moreover, community ordination is done using SPSS 20 to understand the overall ecosystem functioning of the reservoir. The results show that Station I and Station III are more diversified in all the seasons compared to Station II. The mode of distribution is clumped, and the degree of clumping varied with different functional groups of studied zooplankton as seen in the two methods used. So it can be concluded that the zooplankton community of this reservoir is diverse and shows horizontal clumped distribution pattern and niche separation among the groups to avoid competition. The results help in formulating proper strategies for advanced water quality management and conservation of reservoir ecosystem. © Joint Center on Global Change and Earth System Science of the University of Maryland and Beijing Normal University and Springer-Verlag Berlin Heidelberg 2017 |
| abstract_unstemmed |
Abstract Rural populations often depend on small reservoirs for their water supply. These reservoirs are engineered systems designed to serve specific purposes. Water from these sources is not only utilized for drinking purposes, but also for commercial and industrial use. Thus, a thorough limnological study is essential. The present study is carried out at Bakreswar reservoir in Birbhum district, which was created by the dam, built on Bakreswar River. The major purpose of the reservoir is to supply drinking water to the surrounding villages and to use Bakreswar Thermal Power Station for cooling their power plant. A previous study on this reservoir has shown temporal variation of environmental factors as well as good assemblage of zooplankton. In order to get a more detailed preview on zooplankton groups, seasonal diversity is calculated for four major groups of zooplanktons (Cladocera, Ostracoda, Copepoda and Rotifera) with the software PAST. Spatial pattern analysis of zooplankton community is also performed to propose possible hypotheses explaining reasons underlying the causal factors for any such variation. Moreover, community ordination is done using SPSS 20 to understand the overall ecosystem functioning of the reservoir. The results show that Station I and Station III are more diversified in all the seasons compared to Station II. The mode of distribution is clumped, and the degree of clumping varied with different functional groups of studied zooplankton as seen in the two methods used. So it can be concluded that the zooplankton community of this reservoir is diverse and shows horizontal clumped distribution pattern and niche separation among the groups to avoid competition. The results help in formulating proper strategies for advanced water quality management and conservation of reservoir ecosystem. © Joint Center on Global Change and Earth System Science of the University of Maryland and Beijing Normal University and Springer-Verlag Berlin Heidelberg 2017 |
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| title_short |
Spatial pattern analysis of zooplankton community of Bakreswar reservoir, India |
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https://dx.doi.org/10.1007/s40974-017-0057-8 |
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Banerjee, Arnab Mukherjee, Joyita Rakshit, Nabyendu Ray, Santanu |
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2024-07-03T15:47:10.836Z |
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| score |
7.4002256 |