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Wu N, Liu G, Qi X, Lin Z, Wang Y, Wang Y, Li Y, Oduro C, Khan S, Zhou S, Chu T. Different facets of alpha and beta diversity of benthic diatoms along stream watercourse in a large near-natural catchment. Ecol Evol 2024; 14:e11577. [PMID: 38873020 PMCID: PMC11169757 DOI: 10.1002/ece3.11577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 05/30/2024] [Indexed: 06/15/2024] Open
Abstract
Understanding the processes and mechanisms that shape the distribution patterns and variations of biodiversity along spatial gradients continues to be a priority for ecological research. We focused on the biodiversity of benthic diatom communities within a large near-natural watershed. The objectives are: (1) to explore the overall spatial patterns of benthic diatom biodiversity; (2) to investigate the effects associated with watercourse position and environmental variables, as well as both common and rare species on two facets (i.e., taxonomic and functional) of alpha and beta diversity; and (3) to unveil the mechanisms underlying their spatial variations. Alpha diversity indices along the stream watercourse showed a clear increasing trend from upstream to downstream sites. Results of random forest regression identified conductivity as the primary factor influencing functional alpha diversity, while elevation emerged as the predominant factor for taxonomic alpha diversity. Beta diversity partitioning revealed that taxonomic beta diversity generally exceeded functional beta diversity. These diversity measures exhibited different patterns along the watercourse position: taxonomic beta diversity remained relatively consistent along the watercourse, whereas functional total beta diversity and its two components of middle stream sites were lower than those of upstream and downstream sites. Functional beta diversity was sustained by dominant and common species, while rare species made significant contributions to taxonomic beta diversity. Both taxonomic and functional beta diversity and its components displayed a stronger influence from spatial factors than from local environmental, geo-climatic, and nutrient variables. Collectively, taxonomic and functional alpha and beta diversity demonstrated distinct responses to the main environmental gradients and spatial factors within our catchment, highlighting their different insights into diatom diversity. Furthermore, research is required to assess the generalizability of our findings to similar ecosystems. In addition, this study presents opportunities for expansion to include other taxa (e.g., macroinvertebrates and fish) to gain a comprehensive understanding of the driving mechanisms behind stream biodiversity.
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Affiliation(s)
- Naicheng Wu
- Department of Geography and Spatial Information TechniquesNingbo UniversityNingboChina
| | - Guohao Liu
- Department of Geography and Spatial Information TechniquesNingbo UniversityNingboChina
| | - Xinxin Qi
- Department of Geography and Spatial Information TechniquesNingbo UniversityNingboChina
| | - Zongwei Lin
- Department of Geography and Spatial Information TechniquesNingbo UniversityNingboChina
| | - Yixia Wang
- Department of Geography and Spatial Information TechniquesNingbo UniversityNingboChina
| | - Yaochun Wang
- Department of Geography and Spatial Information TechniquesNingbo UniversityNingboChina
| | - Yuying Li
- Henan International Joint Laboratory of Watershed Ecological Security in the Water Source Area of the Middle Route of South‐to‐North Water Diversion Project, College of Water Resource and Modern AgricultureNanyang Normal UniversityNanyangChina
| | - Collins Oduro
- Department of Geography and Spatial Information TechniquesNingbo UniversityNingboChina
- Ningbo University Donghai InstituteNingbo UniversityNingboChina
| | - Sangar Khan
- Department of Geography and Spatial Information TechniquesNingbo UniversityNingboChina
- Ningbo University Donghai InstituteNingbo UniversityNingboChina
| | - Shuchan Zhou
- Ningbo University Library (Journal Editorial Department)Ningbo UniversityNingboChina
| | - Tianjiang Chu
- Hangzhou Academy of Agricultural SciencesHangzhouChina
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Carraro L, Blackman RC, Altermatt F. Modelling environmental DNA transport in rivers reveals highly resolved spatio-temporal biodiversity patterns. Sci Rep 2023; 13:8854. [PMID: 37258598 DOI: 10.1038/s41598-023-35614-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 05/21/2023] [Indexed: 06/02/2023] Open
Abstract
The ever-increasing threats to riverine ecosystems call for novel approaches for highly resolved biodiversity assessments across taxonomic groups and spatio-temporal scales. Recent advances in the joint use of environmental DNA (eDNA) data and eDNA transport models in rivers (e.g., eDITH) allow uncovering the full structure of riverine biodiversity, hence elucidating ecosystem processes and supporting conservation measures. We applied eDITH to a metabarcoding dataset covering three taxonomic groups (fish, invertebrates, bacteria) and three seasons for a catchment sampled for eDNA at 73 sites. We upscaled eDNA-based biodiversity predictions to approximately 1900 reaches, and assessed α- and β-diversity patterns across seasons and taxonomic groups over the whole network. Genus richness predicted by eDITH was generally higher than values from direct eDNA analysis. Both predicted α- and β-diversity varied depending on season and taxonomic group. Predicted fish α-diversity increased downstream in all seasons, while invertebrate and bacteria α-diversity either decreased downstream or were unrelated to network position. Spatial β-diversity mostly decreased downstream, especially for bacteria. The eDITH model yielded a more refined assessment of freshwater biodiversity as compared to raw eDNA data, both in terms of spatial coverage, diversity patterns and effect of covariates, thus providing a more complete picture of freshwater biodiversity.
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Affiliation(s)
- Luca Carraro
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, 8057, Zürich, Switzerland.
- Department of Aquatic Ecology, Swiss Federal Institute of Aquatic Science and Technology, Eawag, 8600, Dübendorf, Switzerland.
| | - Rosetta C Blackman
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, 8057, Zürich, Switzerland
- Department of Aquatic Ecology, Swiss Federal Institute of Aquatic Science and Technology, Eawag, 8600, Dübendorf, Switzerland
| | - Florian Altermatt
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, 8057, Zürich, Switzerland
- Department of Aquatic Ecology, Swiss Federal Institute of Aquatic Science and Technology, Eawag, 8600, Dübendorf, Switzerland
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Qin C, Ge Y, Gao J, Zhou S, Yu J, Wang B, Datry T. Ecological drivers of macroinvertebrate metacommunity assembly in a subtropical river basin in the Yangtze River Delta, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 837:155687. [PMID: 35525362 DOI: 10.1016/j.scitotenv.2022.155687] [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: 01/02/2022] [Revised: 04/05/2022] [Accepted: 04/30/2022] [Indexed: 06/14/2023]
Abstract
Identifying the underlying ecological drivers of macroinvertebrate community assembly is fundamental to metacommunity ecology. Comparably, determining the influence of different drivers on beta diversity patterns can provide insight into processes governing community organization. Exploring the ecological drivers of metacommunity and beta diversity are major avenues to improve bioassessment, restoration, and river management, which are still poorly explored in China, especially in subtropical highly developed river networks. To address this gap, we use a dataset (macroinvertebrate communities and environmental variables) collected from the Yangtze River Delta, China to test the above ideas. We used the K-means clustering method to divide 405 river sites into three anthropogenic impacted groups, nearly pristine sites, moderately impacted sites, and heavily impacted sites, and subsequently used partial Mantel tests to investigate how species sorting and dispersal shaped the metacommunity that varied with the levels of anthropogenic impacts and to explore the responses of different components of beta diversity to environmental and spatial distances among sites for each group. Our results revealed that both species sorting and dispersal shape communities, but the importance of species sorting and dispersal varied with the levels of anthropogenic impacts. Nearly pristine sites were mostly shaped only by species sorting, while heavily impacted sites were shaped by dispersal. We also found that turnover was by far the dominant component of beta diversity across all levels of impact. Therefore, we encourage that environmental variables and spatial processes should be considered in bioassessment approaches. In addition, it is essential to focus on maintaining habitat heterogeneity and identifying and protecting regional species pools that could improve local biodiversity through dispersal for ecosystem management of the Yangtze River Delta of China.
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Affiliation(s)
- Chunyan Qin
- Department of Entomology, College of Plant Protection, Nanjing Agricultural University, Nanjing 210095, PR China; INRAE, UR RiverLy, Centre de Lyon-Villeurbanne, 69626 Villeurbanne Cedex, France
| | - Yifei Ge
- Department of Entomology, College of Plant Protection, Nanjing Agricultural University, Nanjing 210095, PR China
| | - Jin Gao
- Department of Entomology, College of Plant Protection, Nanjing Agricultural University, Nanjing 210095, PR China
| | - Shengli Zhou
- Zhejiang Ecological and Environmental Monitoring Center, Zhejiang 310012, PR China
| | - Jian Yu
- Zhejiang Ecological and Environmental Monitoring Center, Zhejiang 310012, PR China
| | - Beixin Wang
- Department of Entomology, College of Plant Protection, Nanjing Agricultural University, Nanjing 210095, PR China.
| | - Thibault Datry
- INRAE, UR RiverLy, Centre de Lyon-Villeurbanne, 69626 Villeurbanne Cedex, France
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Liu D, Yu H, Lu K, Guan Q, Wu H. Freshwater Releases Into Estuarine Wetlands Change the Determinants of Benthic Invertebrate Metacommunity Structure. Front Ecol Evol 2021. [DOI: 10.3389/fevo.2021.721628] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
In recent years, the relative importance of the processes driving metacommunity composition has aroused extensive attention and become a powerful approach to identify community patterns and their regulatory mechanisms. We investigated variations in the composition of benthic community in restored wetlands and natural wetlands in the Yellow River Delta (Shandong Province, China). First, spatial structures within each wetland were modeled with Moran eigenvector maps. Next, the variation in community structure among local environmental and spatial variables was partitioned using constrained ordination, and the “elements of metacommunity structure” analysis was used to determine the patterns of best fit for species distributions within metacommunities. Finally, the null model was used to analyze non-random patterns of species co-occurrence. The community structure of benthic invertebrates in restored wetlands and natural wetlands differed significantly. The benthic invertebrate metacommunity structure showed a nested distribution in restored wetlands and a quasi-Clementsian structure in natural wetlands. Pure environmental fractions and pure spatial fractions were critical in regulating benthic invertebrate metacommunities of restored wetlands. In natural wetlands, pure spatial fractions and the interaction between environmental and spatial factors (shared fractions) played a major role in the metacommunity. A species co-occurrence analysis showed that species co-occurred more frequently than expected by chance, demonstrating that biotic interactions were not the main driver of metacommunity structures in both wetland types. Accordingly, the benthic invertebrate metacommunity in estuarine wetlands following freshwater releases was mostly determined by environmental and spatial effects, which resulted in a metacommunity with nested distribution. These results are important for biodiversity protection and ecosystem management of estuarine wetlands in the Yellow River Delta.
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Kurthen AL, He F, Dong X, Maasri A, Wu N, Cai Q, Jähnig SC. Metacommunity Structures of Macroinvertebrates and Diatoms in High Mountain Streams, Yunnan, China. Front Ecol Evol 2020. [DOI: 10.3389/fevo.2020.571887] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023] Open
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González‐Trujillo JD, Donato‐Rondon JC, Muñoz I, Sabater S. Historical processes constrain metacommunity structure by shaping different pools of invertebrate taxa within the Orinoco basin. DIVERS DISTRIB 2019. [DOI: 10.1111/ddi.12996] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Affiliation(s)
- Juan David González‐Trujillo
- Departamento de Biología Universidad Nacional de Colombia Bogotá Colombia
- Catalan Institute for Water Research (ICRA) Girona Spain
- Universitat de Girona Girona Spain
| | | | - Isabel Muñoz
- Department of Ecology University of Barcelona Barcelona Spain
| | - Sergi Sabater
- Catalan Institute for Water Research (ICRA) Girona Spain
- Universitat de Girona Girona Spain
- Faculty of Sciences Institute of Aquatic Ecology Universitat de Girona Girona Spain
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Disturbance disrupts the relation between community similarity and environmental distance at small spatial scale. Ecol Res 2017. [DOI: 10.1007/s11284-017-1539-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Muenich RL, Chaubey I, Pyron M. Evaluating potential water quality drivers of a fish regime shift in the Wabash River using the SWAT model. Ecol Modell 2016. [DOI: 10.1016/j.ecolmodel.2016.09.010] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Heino J, Soininen J, Alahuhta J, Lappalainen J, Virtanen R. Metacommunity ecology meets biogeography: effects of geographical region, spatial dynamics and environmental filtering on community structure in aquatic organisms. Oecologia 2016; 183:121-137. [PMID: 27714463 DOI: 10.1007/s00442-016-3750-y] [Citation(s) in RCA: 87] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2016] [Accepted: 09/29/2016] [Indexed: 11/29/2022]
Abstract
Metacommunity patterns and underlying processes in aquatic organisms have typically been studied within a drainage basin. We examined variation in the composition of six freshwater organismal groups across various drainage basins in Finland. We first modelled spatial structures within each drainage basin using Moran eigenvector maps. Second, we partitioned variation in community structure among three groups of predictors using constrained ordination: (1) local environmental variables, (2) spatial variables, and (3) dummy variable drainage basin identity. Third, we examined turnover and nestedness components of multiple-site beta diversity, and tested the best fit patterns of our datasets using the "elements of metacommunity structure" analysis. Our results showed that basin identity and local environmental variables were significant predictors of community structure, whereas within-basin spatial effects were typically negligible. In half of the organismal groups (diatoms, bryophytes, zooplankton), basin identity was a slightly better predictor of community structure than local environmental variables, whereas the opposite was true for the remaining three organismal groups (insects, macrophytes, fish). Both pure basin and local environmental fractions were, however, significant after accounting for the effects of the other predictor variable sets. All organismal groups exhibited high levels of beta diversity, which was mostly attributable to the turnover component. Our results showed consistent Clementsian-type metacommunity structures, suggesting that subgroups of species responded similarly to environmental factors or drainage basin limits. We conclude that aquatic communities across large scales are mostly determined by environmental and basin effects, which leads to high beta diversity and prevalence of Clementsian community types.
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Affiliation(s)
- Jani Heino
- Natural Environment Centre, Biodiversity, Finnish Environment Institute, Paavo Havaksen Tie 3, P.O. Box 413, 90014, Oulu, Finland.
| | - Janne Soininen
- Department of Geosciences and Geography, University of Helsinki, P.O. Box 64, 00014, Helsinki, Finland
| | - Janne Alahuhta
- Geography Research Unit, University of Oulu, P.O. Box 3000, 90014, Oulu, Finland.,Freshwater Centre, State of Surface Waters, Finnish Environment Institute, P.O. Box 413, 90014, Oulu, Finland
| | - Jyrki Lappalainen
- Department of Environmental Sciences, University of Helsinki, P.O. Box 65, 00014, Helsinki, Finland
| | - Risto Virtanen
- Department of Physiological Diversity, Helmholtz Center for Environmental Research, UFZ, Permoserstr. 15, 04318, Leipzig, Germany.,German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, 04103, Leipzig, Germany.,Department of Ecology, University of Oulu, P.O. Box 3000, 90014, Oulu, Finland
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Tonkin JD, Stoll S, Jähnig SC, Haase P. Elements of metacommunity structure of river and riparian assemblages: Communities, taxonomic groups and deconstructed trait groups. ECOLOGICAL COMPLEXITY 2016. [DOI: 10.1016/j.ecocom.2015.12.002] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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