Spatial and Temporal Variation in the Fish Diversity in Dianchi Lake and the Influencing Factors
The survey of fish diversity is an important part of the protection of the ecological health of rivers and lakes. Environmental DNA technology is a new tool to improve the accuracy of traditional morphological surveys of biodiversity and to monitor the amount of diversity. At present, there are few...
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MDPI AG
2023-12-01
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| Series: | Water |
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| Online Access: | https://www.mdpi.com/2073-4441/15/24/4244 |
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| author | Kaisong Zhao Xiaoqin Li Han Meng Yuanyuan Lin Liang Shen Zhen Ling Xiaowei Zhang Shan Xu |
| author_facet | Kaisong Zhao Xiaoqin Li Han Meng Yuanyuan Lin Liang Shen Zhen Ling Xiaowei Zhang Shan Xu |
| author_sort | Kaisong Zhao |
| collection | DOAJ |
| description | The survey of fish diversity is an important part of the protection of the ecological health of rivers and lakes. Environmental DNA technology is a new tool to improve the accuracy of traditional morphological surveys of biodiversity and to monitor the amount of diversity. At present, there are few studies on monitoring fish diversity in lake inlets using eDNA technology. In this study, we used various types of estuaries in the Dianchi basin as the research object, used environmental DNA technology to monitor the fish diversity in typical estuaries, and analyzed the temporal and spatial changes and the relationship between environmental factors and fish diversity. In the Dianchi basin, we identified a total of 63 fish species belonging to 8 different orders, 21 families, and 51 genera across two seasons. The Carpidae family had the highest number of species, with <i>Carassius auratus</i> being the most prevalent species. The Shannon index analysis yielded a <i>p</i>-value of 0.0018 (<0.05), suggesting significant seasonal variations in the fish community structure within the typical estuaries of the Dianchi basin. Furthermore, the β-diversity accounted for 59.6% and 57% of the variations in fish communities among the various estuary types in March and July, respectively. Fish species varied considerably between estuaries, with <i>Carassius auratus</i>, <i>Cyprinus carpio</i>, <i>Rhodeus sinensis</i>, <i>Acheilognathus chankaensis</i>, and <i>Coilia nasus</i> all occurring at various points. The agricultural estuary differed substantially from the urban, suburban, and lake areas. Redundancy analysis revealed that the fish community structure during the dry period was primarily influenced by total phosphorus, pH, total nitrogen (TN), and chlorophyll. Conversely, during the rich period, the fish community structure was mainly influenced by dissolved oxygen and TN. This study demonstrated the utilization of environmental DNA technology in assessing the ecological health of rivers and lakes, specifically highlighting its effectiveness in exposing the ecological condition of a representative Dianchi estuary. |
| first_indexed | 2024-03-08T20:16:59Z |
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| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-03-08T20:16:59Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
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| series | Water |
| spelling | doaj.art-4c9c1d5a75724dfd961f13e171d1717e2023-12-22T14:49:48ZengMDPI AGWater2073-44412023-12-011524424410.3390/w15244244Spatial and Temporal Variation in the Fish Diversity in Dianchi Lake and the Influencing FactorsKaisong Zhao0Xiaoqin Li1Han Meng2Yuanyuan Lin3Liang Shen4Zhen Ling5Xiaowei Zhang6Shan Xu7College of Agronomy and Life Sciences, Kunming University, Kunming 650214, ChinaCollege of Agronomy and Life Sciences, Kunming University, Kunming 650214, ChinaFaculty of Geography, Yunnan Normal University, Kunming 650500, ChinaCollege of Agronomy and Life Sciences, Kunming University, Kunming 650214, ChinaCollege of Agronomy and Life Sciences, Kunming University, Kunming 650214, ChinaCollege of Architecture and Civil Engineering, Kunming University, Kunming 650214, ChinaState Key Laboratory of Pollution Control & Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, ChinaCollege of Agronomy and Life Sciences, Kunming University, Kunming 650214, ChinaThe survey of fish diversity is an important part of the protection of the ecological health of rivers and lakes. Environmental DNA technology is a new tool to improve the accuracy of traditional morphological surveys of biodiversity and to monitor the amount of diversity. At present, there are few studies on monitoring fish diversity in lake inlets using eDNA technology. In this study, we used various types of estuaries in the Dianchi basin as the research object, used environmental DNA technology to monitor the fish diversity in typical estuaries, and analyzed the temporal and spatial changes and the relationship between environmental factors and fish diversity. In the Dianchi basin, we identified a total of 63 fish species belonging to 8 different orders, 21 families, and 51 genera across two seasons. The Carpidae family had the highest number of species, with <i>Carassius auratus</i> being the most prevalent species. The Shannon index analysis yielded a <i>p</i>-value of 0.0018 (<0.05), suggesting significant seasonal variations in the fish community structure within the typical estuaries of the Dianchi basin. Furthermore, the β-diversity accounted for 59.6% and 57% of the variations in fish communities among the various estuary types in March and July, respectively. Fish species varied considerably between estuaries, with <i>Carassius auratus</i>, <i>Cyprinus carpio</i>, <i>Rhodeus sinensis</i>, <i>Acheilognathus chankaensis</i>, and <i>Coilia nasus</i> all occurring at various points. The agricultural estuary differed substantially from the urban, suburban, and lake areas. Redundancy analysis revealed that the fish community structure during the dry period was primarily influenced by total phosphorus, pH, total nitrogen (TN), and chlorophyll. Conversely, during the rich period, the fish community structure was mainly influenced by dissolved oxygen and TN. This study demonstrated the utilization of environmental DNA technology in assessing the ecological health of rivers and lakes, specifically highlighting its effectiveness in exposing the ecological condition of a representative Dianchi estuary.https://www.mdpi.com/2073-4441/15/24/4244Dianchienvironmental DNAestuarine fishenvironmental factorsspatial and temporal variation |
| spellingShingle | Kaisong Zhao Xiaoqin Li Han Meng Yuanyuan Lin Liang Shen Zhen Ling Xiaowei Zhang Shan Xu Spatial and Temporal Variation in the Fish Diversity in Dianchi Lake and the Influencing Factors Water Dianchi environmental DNA estuarine fish environmental factors spatial and temporal variation |
| title | Spatial and Temporal Variation in the Fish Diversity in Dianchi Lake and the Influencing Factors |
| title_full | Spatial and Temporal Variation in the Fish Diversity in Dianchi Lake and the Influencing Factors |
| title_fullStr | Spatial and Temporal Variation in the Fish Diversity in Dianchi Lake and the Influencing Factors |
| title_full_unstemmed | Spatial and Temporal Variation in the Fish Diversity in Dianchi Lake and the Influencing Factors |
| title_short | Spatial and Temporal Variation in the Fish Diversity in Dianchi Lake and the Influencing Factors |
| title_sort | spatial and temporal variation in the fish diversity in dianchi lake and the influencing factors |
| topic | Dianchi environmental DNA estuarine fish environmental factors spatial and temporal variation |
| url | https://www.mdpi.com/2073-4441/15/24/4244 |
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