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Shen Z, Cui J, Li J, Peng Y, Li J, Liang Y, Zhou Y, Zhang Z, Sun L, Yao D. Typical alien invasive aquatic-plant species changed the stability rather than the diversity of plankton community in fresh water. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 951:175490. [PMID: 39147044 DOI: 10.1016/j.scitotenv.2024.175490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2024] [Revised: 08/09/2024] [Accepted: 08/11/2024] [Indexed: 08/17/2024]
Abstract
Alien invasive aquatic-plant (AIA) species are severely threatening the aquatic ecosystems worldwide, especially biodiversity. Although plankton have been used to monitor and address biodiversity, some gaps remain in understanding of the relationships between plankton communities and AIA species. Here, the effects of two typical AIA species (Pistia stratiotes and Eichhornia crassipes) on plankton communities in freshwater with a native plant Vallisneria natans were investigated using a 50-d microcosm experiment. Results showed that AIA species significantly decreased water pH and dissolved oxygen while increased oxidation-reduction potential (p < 0.05). AIA species, especially P. stratiotes, significantly inhibited dry biomass accumulation in V. natans by an average rate of 39.0 %, decreased water pH by up to 14.62 %, and increased aboveground lengths and chlorophyll contents of V. natans by up to 36.2 % and 63.7 % (p < 0.05), respectively. These species further modified the growth strategy of V. natans from dry biomass accumulation to aboveground elongation. Although the AIA species did not alter plankton diversity (p > 0.05), but they changed their dominant species, functional communities (e.g., Groups D and TB), and co-occurrence networks. P. stratiotes decreased the average degree of the networks by 12.37-19.02 % and the graph density by 10.53-14.47 %, while E. crassipes decreased the modularity of the networks by 10.24 % compared with the control (without AIA species), respectively. Overall, AIA species inhibited the growth of V. natans and decreased the stability of plankton communities and their resistance to environmental disturbances. These findings enhance our understanding of how AIA species affect the growth of native plants and variations in plankton communities, thereby providing a theoretical basis for improving the ecological function and safety of freshwater.
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Affiliation(s)
- Ziyao Shen
- Institute of Botany, Jiangsu Province and Chinese Academy of Sciences (Nanjing Botanical Garden Mem. Sun Yat-Sen), Nanjing 210014, China; Jiangsu Key Laboratory for the Research and Utilization of Plant Resources, Nanjing 210014, China
| | - Jian Cui
- Institute of Botany, Jiangsu Province and Chinese Academy of Sciences (Nanjing Botanical Garden Mem. Sun Yat-Sen), Nanjing 210014, China; Jiangsu Key Laboratory for the Research and Utilization of Plant Resources, Nanjing 210014, China.
| | - Jinfeng Li
- Institute of Botany, Jiangsu Province and Chinese Academy of Sciences (Nanjing Botanical Garden Mem. Sun Yat-Sen), Nanjing 210014, China; Jiangsu Key Laboratory for the Research and Utilization of Plant Resources, Nanjing 210014, China
| | - Ying Peng
- School of Environmental Science, Nanjing Xiaozhuang University, Nanjing 211171, China
| | - Jian Li
- School of the Environment and Safety Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Yu Liang
- Institute of Botany, Jiangsu Province and Chinese Academy of Sciences (Nanjing Botanical Garden Mem. Sun Yat-Sen), Nanjing 210014, China; Jiangsu Key Laboratory for the Research and Utilization of Plant Resources, Nanjing 210014, China
| | - Yang Zhou
- Institute of Botany, Jiangsu Province and Chinese Academy of Sciences (Nanjing Botanical Garden Mem. Sun Yat-Sen), Nanjing 210014, China; Jiangsu Key Laboratory for the Research and Utilization of Plant Resources, Nanjing 210014, China
| | - Zhen Zhang
- School of the Environment and Safety Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Linhe Sun
- Institute of Botany, Jiangsu Province and Chinese Academy of Sciences (Nanjing Botanical Garden Mem. Sun Yat-Sen), Nanjing 210014, China; Jiangsu Key Laboratory for the Research and Utilization of Plant Resources, Nanjing 210014, China
| | - Dongrui Yao
- Institute of Botany, Jiangsu Province and Chinese Academy of Sciences (Nanjing Botanical Garden Mem. Sun Yat-Sen), Nanjing 210014, China; Jiangsu Key Laboratory for the Research and Utilization of Plant Resources, Nanjing 210014, China
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Trophic Patterns of Bighead Carp and Silver Carp Follow the Seasonality of Resource Availability. WATER 2019. [DOI: 10.3390/w11071429] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The influence of seasonality of the aquatic environment on food web has been notoriously understudied in empirical ecology. In this study, we focus on seasonal changes in one key attribute of a food web, the trophic level. We determine whether seasonal variations of fish trophic levels could be indicated by the change in food resources. Silver carp (Hypophthalmichthys molitrix) and bighead carp (H. nobilis) were used to explore the responses of trophic levels of the filter-feeding fish to seasonal variations of food resources. Combined stable isotopic analysis and dietary analysis revealed that filter-feeding fish tended to have a higher trophic level in spring (May) and autumn (September and October). This may result from the abundant density of food resources (zooplankton and phytoplankton) and fish flexible foraging strategy, as we predicted that the trophic level follows the seasonality of food availability. Pearson’ correlation analysis and a structural equation model showed that seasonal variation of total phosphorus and water temperature could indirectly affect trophic levels of silver carp and bighead carp by mediating the abundance of phytoplankton and zooplankton directly and indirectly along the food chain. According to these findings, the seasonal variation of food resources could be an important indicator of the temporal dynamics of the food web trophic pattern in freshwater ecosystems.
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Zuo J, Fan W, Wang X, Ren J, Zhang Y, Wang X, Zhang Y, Yu T, Li X. Trophic transfer of Cu, Zn, Cd, and Cr, and biomarker response for food webs in Taihu Lake, China. RSC Adv 2018; 8:3410-3417. [PMID: 35542949 PMCID: PMC9077756 DOI: 10.1039/c7ra11677b] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2017] [Accepted: 01/11/2018] [Indexed: 11/21/2022] Open
Abstract
Water, sediments, and aquatic organism samples were collected from Taihu Lake in China. Four types of typical heavy metal (Cu, Zn, Cd, and Cr) were analyzed to evaluate their concentrations and trophic transfer in food webs. The stable nitrogen isotope δ15N was used to investigate the trophic interactions. The concentrations of Cd and Zn in the sediments of Taihu Lake exceeded Level I of the China National Quality Standards for Soil. Zn accumulation was identified to increase with the trophic level. The bioconcentration of the four heavy metals in aquatic organisms was evident, with the invertebrates showing the highest bioconcentration factor in the food webs. Several biomarkers were investigated, including metallothionein (MT), malondialdehyde, and Na+/K+-adenosine triphosphatase activity. A positive correlation relationship was found between the MT content and heavy metal accumulation in organism tissues. Samples were analyzed from Taihu Lake, the bioconcentration of metals was evident and MTs were used to monitor the heavy metal pollution.![]()
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Affiliation(s)
- Jinxing Zuo
- School of Space and Environment
- Beihang University
- Beijing 100191
- PR China
| | - Wenhong Fan
- School of Space and Environment
- Beihang University
- Beijing 100191
- PR China
| | - Xiaolong Wang
- School of Space and Environment
- Beihang University
- Beijing 100191
- PR China
| | - Jinqian Ren
- School of Space and Environment
- Beihang University
- Beijing 100191
- PR China
| | - YiLin Zhang
- School of Space and Environment
- Beihang University
- Beijing 100191
- PR China
| | - Xiangrui Wang
- School of Space and Environment
- Beihang University
- Beijing 100191
- PR China
| | - Yuan Zhang
- Chinese Research Academy of Environmental Sciences
- Beijing 100012
- PR China
| | - Tao Yu
- Chinese Research Academy of Environmental Sciences
- Beijing 100012
- PR China
| | - Xiaomin Li
- School of Space and Environment
- Beihang University
- Beijing 100191
- PR China
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