Environmental risk analysis of pharmaceuticals on freshwater phytoplankton assemblage: effects on alpha, beta, and taxonomic diversity
Abstract Antibiotics and nonsteroidal anti-inflammatory drugs (NSAIDs) have a wide range of bioactivities and are released into the ecosystem in large amounts. Heretofore, little information is available regarding their potential risk to the phytoplankton assemblage. Different alpha, taxonomic, and...
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| Autor*in: |
Gomaa, Mohamed [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2020 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer-Verlag GmbH Germany, part of Springer Nature 2020 |
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| Übergeordnetes Werk: |
Enthalten in: Environmental science and pollution research - Springer Berlin Heidelberg, 1994, 28(2020), 8 vom: 07. Nov., Seite 9954-9964 |
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| Übergeordnetes Werk: |
volume:28 ; year:2020 ; number:8 ; day:07 ; month:11 ; pages:9954-9964 |
| Links: |
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| DOI / URN: |
10.1007/s11356-020-11542-0 |
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OLC2123688401 |
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| 520 | |a Abstract Antibiotics and nonsteroidal anti-inflammatory drugs (NSAIDs) have a wide range of bioactivities and are released into the ecosystem in large amounts. Heretofore, little information is available regarding their potential risk to the phytoplankton assemblage. Different alpha, taxonomic, and beta diversity measures were investigated and linked to the spatial variation of nine drugs. Distance-based redundancy analysis (dbRDA) indicated that pharmaceutical pollution had adverse effects on both phytoplankton diversity and taxonomic structure leading to the existence of congeneric taxa. However, different phytoplankton groups respond differently to different pharmaceuticals and Cyanoprokaryotes was suggested as the most sensitive group. According to the $ EC_{50} $ value and the detected concentration for each drug, a hazard index (Hq) was calculated for each polluted site to investigate environmental risk analysis. Increasing Hq values exhibited negative effects on phytoplankton diversity. Phytoplankton community was characterized by high beta diversity values, which suggested that microalgae were able to disperse and select suitable environmental conditions. High beta diversity values were driven by species difference rather than species replacement due to the disappearance of most sensitive taxa from highly polluted sites. Additionally, microalgae were classified into different morpho-functional groups (FGs), and principal component analysis (PCA) indicated that different FGs had different responses to pharmaceutical pollution. A laboratory toxicity experiment was also conducted to identify the negative effects of short-term exposure to low doses of paracetamol and ciprofloxacin. | ||
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10.1007/s11356-020-11542-0 doi (DE-627)OLC2123688401 (DE-He213)s11356-020-11542-0-p DE-627 ger DE-627 rakwb eng 570 360 333.7 VZ 690 333.7 540 VZ BIODIV DE-30 fid Gomaa, Mohamed verfasserin (orcid)0000-0003-1544-3042 aut Environmental risk analysis of pharmaceuticals on freshwater phytoplankton assemblage: effects on alpha, beta, and taxonomic diversity 2020 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2020 Abstract Antibiotics and nonsteroidal anti-inflammatory drugs (NSAIDs) have a wide range of bioactivities and are released into the ecosystem in large amounts. Heretofore, little information is available regarding their potential risk to the phytoplankton assemblage. Different alpha, taxonomic, and beta diversity measures were investigated and linked to the spatial variation of nine drugs. Distance-based redundancy analysis (dbRDA) indicated that pharmaceutical pollution had adverse effects on both phytoplankton diversity and taxonomic structure leading to the existence of congeneric taxa. However, different phytoplankton groups respond differently to different pharmaceuticals and Cyanoprokaryotes was suggested as the most sensitive group. According to the $ EC_{50} $ value and the detected concentration for each drug, a hazard index (Hq) was calculated for each polluted site to investigate environmental risk analysis. Increasing Hq values exhibited negative effects on phytoplankton diversity. Phytoplankton community was characterized by high beta diversity values, which suggested that microalgae were able to disperse and select suitable environmental conditions. High beta diversity values were driven by species difference rather than species replacement due to the disappearance of most sensitive taxa from highly polluted sites. Additionally, microalgae were classified into different morpho-functional groups (FGs), and principal component analysis (PCA) indicated that different FGs had different responses to pharmaceutical pollution. A laboratory toxicity experiment was also conducted to identify the negative effects of short-term exposure to low doses of paracetamol and ciprofloxacin. Morpho-functional groups Hazard quotient index SDR-simplex analysis NSAIDs Taxonomic diversity Zien-Elabdeen, Ayat aut Hifney, Awatief F. aut Adam, Mahmoud S. aut Enthalten in Environmental science and pollution research Springer Berlin Heidelberg, 1994 28(2020), 8 vom: 07. Nov., Seite 9954-9964 (DE-627)171335805 (DE-600)1178791-0 (DE-576)038875101 0944-1344 nnns volume:28 year:2020 number:8 day:07 month:11 pages:9954-9964 https://doi.org/10.1007/s11356-020-11542-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-FOR GBV_ILN_252 GBV_ILN_267 GBV_ILN_2018 GBV_ILN_4277 AR 28 2020 8 07 11 9954-9964 |
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10.1007/s11356-020-11542-0 doi (DE-627)OLC2123688401 (DE-He213)s11356-020-11542-0-p DE-627 ger DE-627 rakwb eng 570 360 333.7 VZ 690 333.7 540 VZ BIODIV DE-30 fid Gomaa, Mohamed verfasserin (orcid)0000-0003-1544-3042 aut Environmental risk analysis of pharmaceuticals on freshwater phytoplankton assemblage: effects on alpha, beta, and taxonomic diversity 2020 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2020 Abstract Antibiotics and nonsteroidal anti-inflammatory drugs (NSAIDs) have a wide range of bioactivities and are released into the ecosystem in large amounts. Heretofore, little information is available regarding their potential risk to the phytoplankton assemblage. Different alpha, taxonomic, and beta diversity measures were investigated and linked to the spatial variation of nine drugs. Distance-based redundancy analysis (dbRDA) indicated that pharmaceutical pollution had adverse effects on both phytoplankton diversity and taxonomic structure leading to the existence of congeneric taxa. However, different phytoplankton groups respond differently to different pharmaceuticals and Cyanoprokaryotes was suggested as the most sensitive group. According to the $ EC_{50} $ value and the detected concentration for each drug, a hazard index (Hq) was calculated for each polluted site to investigate environmental risk analysis. Increasing Hq values exhibited negative effects on phytoplankton diversity. Phytoplankton community was characterized by high beta diversity values, which suggested that microalgae were able to disperse and select suitable environmental conditions. High beta diversity values were driven by species difference rather than species replacement due to the disappearance of most sensitive taxa from highly polluted sites. Additionally, microalgae were classified into different morpho-functional groups (FGs), and principal component analysis (PCA) indicated that different FGs had different responses to pharmaceutical pollution. A laboratory toxicity experiment was also conducted to identify the negative effects of short-term exposure to low doses of paracetamol and ciprofloxacin. Morpho-functional groups Hazard quotient index SDR-simplex analysis NSAIDs Taxonomic diversity Zien-Elabdeen, Ayat aut Hifney, Awatief F. aut Adam, Mahmoud S. aut Enthalten in Environmental science and pollution research Springer Berlin Heidelberg, 1994 28(2020), 8 vom: 07. Nov., Seite 9954-9964 (DE-627)171335805 (DE-600)1178791-0 (DE-576)038875101 0944-1344 nnns volume:28 year:2020 number:8 day:07 month:11 pages:9954-9964 https://doi.org/10.1007/s11356-020-11542-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-FOR GBV_ILN_252 GBV_ILN_267 GBV_ILN_2018 GBV_ILN_4277 AR 28 2020 8 07 11 9954-9964 |
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10.1007/s11356-020-11542-0 doi (DE-627)OLC2123688401 (DE-He213)s11356-020-11542-0-p DE-627 ger DE-627 rakwb eng 570 360 333.7 VZ 690 333.7 540 VZ BIODIV DE-30 fid Gomaa, Mohamed verfasserin (orcid)0000-0003-1544-3042 aut Environmental risk analysis of pharmaceuticals on freshwater phytoplankton assemblage: effects on alpha, beta, and taxonomic diversity 2020 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2020 Abstract Antibiotics and nonsteroidal anti-inflammatory drugs (NSAIDs) have a wide range of bioactivities and are released into the ecosystem in large amounts. Heretofore, little information is available regarding their potential risk to the phytoplankton assemblage. Different alpha, taxonomic, and beta diversity measures were investigated and linked to the spatial variation of nine drugs. Distance-based redundancy analysis (dbRDA) indicated that pharmaceutical pollution had adverse effects on both phytoplankton diversity and taxonomic structure leading to the existence of congeneric taxa. However, different phytoplankton groups respond differently to different pharmaceuticals and Cyanoprokaryotes was suggested as the most sensitive group. According to the $ EC_{50} $ value and the detected concentration for each drug, a hazard index (Hq) was calculated for each polluted site to investigate environmental risk analysis. Increasing Hq values exhibited negative effects on phytoplankton diversity. Phytoplankton community was characterized by high beta diversity values, which suggested that microalgae were able to disperse and select suitable environmental conditions. High beta diversity values were driven by species difference rather than species replacement due to the disappearance of most sensitive taxa from highly polluted sites. Additionally, microalgae were classified into different morpho-functional groups (FGs), and principal component analysis (PCA) indicated that different FGs had different responses to pharmaceutical pollution. A laboratory toxicity experiment was also conducted to identify the negative effects of short-term exposure to low doses of paracetamol and ciprofloxacin. Morpho-functional groups Hazard quotient index SDR-simplex analysis NSAIDs Taxonomic diversity Zien-Elabdeen, Ayat aut Hifney, Awatief F. aut Adam, Mahmoud S. aut Enthalten in Environmental science and pollution research Springer Berlin Heidelberg, 1994 28(2020), 8 vom: 07. Nov., Seite 9954-9964 (DE-627)171335805 (DE-600)1178791-0 (DE-576)038875101 0944-1344 nnns volume:28 year:2020 number:8 day:07 month:11 pages:9954-9964 https://doi.org/10.1007/s11356-020-11542-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-FOR GBV_ILN_252 GBV_ILN_267 GBV_ILN_2018 GBV_ILN_4277 AR 28 2020 8 07 11 9954-9964 |
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environmental risk analysis of pharmaceuticals on freshwater phytoplankton assemblage: effects on alpha, beta, and taxonomic diversity |
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Environmental risk analysis of pharmaceuticals on freshwater phytoplankton assemblage: effects on alpha, beta, and taxonomic diversity |
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Abstract Antibiotics and nonsteroidal anti-inflammatory drugs (NSAIDs) have a wide range of bioactivities and are released into the ecosystem in large amounts. Heretofore, little information is available regarding their potential risk to the phytoplankton assemblage. Different alpha, taxonomic, and beta diversity measures were investigated and linked to the spatial variation of nine drugs. Distance-based redundancy analysis (dbRDA) indicated that pharmaceutical pollution had adverse effects on both phytoplankton diversity and taxonomic structure leading to the existence of congeneric taxa. However, different phytoplankton groups respond differently to different pharmaceuticals and Cyanoprokaryotes was suggested as the most sensitive group. According to the $ EC_{50} $ value and the detected concentration for each drug, a hazard index (Hq) was calculated for each polluted site to investigate environmental risk analysis. Increasing Hq values exhibited negative effects on phytoplankton diversity. Phytoplankton community was characterized by high beta diversity values, which suggested that microalgae were able to disperse and select suitable environmental conditions. High beta diversity values were driven by species difference rather than species replacement due to the disappearance of most sensitive taxa from highly polluted sites. Additionally, microalgae were classified into different morpho-functional groups (FGs), and principal component analysis (PCA) indicated that different FGs had different responses to pharmaceutical pollution. A laboratory toxicity experiment was also conducted to identify the negative effects of short-term exposure to low doses of paracetamol and ciprofloxacin. © Springer-Verlag GmbH Germany, part of Springer Nature 2020 |
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Abstract Antibiotics and nonsteroidal anti-inflammatory drugs (NSAIDs) have a wide range of bioactivities and are released into the ecosystem in large amounts. Heretofore, little information is available regarding their potential risk to the phytoplankton assemblage. Different alpha, taxonomic, and beta diversity measures were investigated and linked to the spatial variation of nine drugs. Distance-based redundancy analysis (dbRDA) indicated that pharmaceutical pollution had adverse effects on both phytoplankton diversity and taxonomic structure leading to the existence of congeneric taxa. However, different phytoplankton groups respond differently to different pharmaceuticals and Cyanoprokaryotes was suggested as the most sensitive group. According to the $ EC_{50} $ value and the detected concentration for each drug, a hazard index (Hq) was calculated for each polluted site to investigate environmental risk analysis. Increasing Hq values exhibited negative effects on phytoplankton diversity. Phytoplankton community was characterized by high beta diversity values, which suggested that microalgae were able to disperse and select suitable environmental conditions. High beta diversity values were driven by species difference rather than species replacement due to the disappearance of most sensitive taxa from highly polluted sites. Additionally, microalgae were classified into different morpho-functional groups (FGs), and principal component analysis (PCA) indicated that different FGs had different responses to pharmaceutical pollution. A laboratory toxicity experiment was also conducted to identify the negative effects of short-term exposure to low doses of paracetamol and ciprofloxacin. © Springer-Verlag GmbH Germany, part of Springer Nature 2020 |
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Abstract Antibiotics and nonsteroidal anti-inflammatory drugs (NSAIDs) have a wide range of bioactivities and are released into the ecosystem in large amounts. Heretofore, little information is available regarding their potential risk to the phytoplankton assemblage. Different alpha, taxonomic, and beta diversity measures were investigated and linked to the spatial variation of nine drugs. Distance-based redundancy analysis (dbRDA) indicated that pharmaceutical pollution had adverse effects on both phytoplankton diversity and taxonomic structure leading to the existence of congeneric taxa. However, different phytoplankton groups respond differently to different pharmaceuticals and Cyanoprokaryotes was suggested as the most sensitive group. According to the $ EC_{50} $ value and the detected concentration for each drug, a hazard index (Hq) was calculated for each polluted site to investigate environmental risk analysis. Increasing Hq values exhibited negative effects on phytoplankton diversity. Phytoplankton community was characterized by high beta diversity values, which suggested that microalgae were able to disperse and select suitable environmental conditions. High beta diversity values were driven by species difference rather than species replacement due to the disappearance of most sensitive taxa from highly polluted sites. Additionally, microalgae were classified into different morpho-functional groups (FGs), and principal component analysis (PCA) indicated that different FGs had different responses to pharmaceutical pollution. A laboratory toxicity experiment was also conducted to identify the negative effects of short-term exposure to low doses of paracetamol and ciprofloxacin. © Springer-Verlag GmbH Germany, part of Springer Nature 2020 |
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