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Forio MAE, Goethals PLM, Lock K, Nguyen THT, Damanik-Ambarita MN, Dominguez-Granda L, Thas O. Determining Tipping Points and Responses of Macroinvertebrate Traits to Abiotic Factors in Support of River Management. BIOLOGY 2023; 12:biology12040593. [PMID: 37106793 PMCID: PMC10135673 DOI: 10.3390/biology12040593] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 04/06/2023] [Accepted: 04/10/2023] [Indexed: 04/29/2023]
Abstract
Although the trait concept is increasingly used in research, quantitative relations that can support in determining ecological tipping points and serve as a basis for environmental standards are lacking. This study determines changes in trait abundance along a gradient of flow velocity, turbidity and elevation, and develops trait-response curves, which facilitate the identification of ecological tipping points. Aquatic macroinvertebrates and abiotic conditions were determined at 88 different locations in the streams of the Guayas basin. After trait information collection, a set of trait diversity metrics were calculated. Negative binomial regression and linear regression were applied to relate the abundance of each trait and trait diversity metrics, respectively, to flow velocity, turbidity and elevation. Tipping points for each environmental variable in relation to traits were identified using the segmented regression method. The abundance of most traits increased with increasing velocity, while they decreased with increasing turbidity. The negative binomial regression models revealed that from a flow velocity higher than 0.5 m/s, a substantial increase in abundance occurs for several traits, and this is even more substantially noticed at values higher than 1 m/s. Furthermore, significant tipping points were also identified for elevation, wherein an abrupt decline in trait richness was observed below 22 m a.s.l., implying the need to focus water management in these altitudinal regions. Turbidity is potentially caused by erosion; thus, measures that can reduce or limit erosion within the basin should be implemented. Our findings suggest that measures mitigating the issues related to turbidity and flow velocity may lead to better aquatic ecosystem functioning. This quantitative information related to flow velocity might serve as a good basis to determine ecological flow requirements and illustrates the major impacts that hydropower dams can have in fast-running river systems. These quantitative relations between invertebrate traits and environmental conditions, as well as related tipping points, provide a basis to determine critical targets for aquatic ecosystem management, achieve improved ecosystem functioning and warrant trait diversity.
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Affiliation(s)
- Marie Anne Eurie Forio
- Department of Animal Sciences and Aquatic Ecology, Ghent University, Coupure Links 653, 9000 Ghent, Belgium
| | - Peter L M Goethals
- Department of Animal Sciences and Aquatic Ecology, Ghent University, Coupure Links 653, 9000 Ghent, Belgium
| | - Koen Lock
- Department of Animal Sciences and Aquatic Ecology, Ghent University, Coupure Links 653, 9000 Ghent, Belgium
| | - Thi Hanh Tien Nguyen
- Department of Animal Sciences and Aquatic Ecology, Ghent University, Coupure Links 653, 9000 Ghent, Belgium
- Faculty of Biotechnology, Chemistry and Environmental Engineering, Phenikaa University, Yen Nghia, Ha Dong, Hanoi 10000, Vietnam
- Bioresource Research Center, Phenikaa University, Yen Nghia, Ha Dong, Hanoi 10000, Vietnam
| | | | - Luis Dominguez-Granda
- Department of Chemical and Environmental Sciences, Escuela Superior Politécnica del Litoral (ESPOL), Km 30.5, Via Perimetral, Guayaquil P.O. Box 09-01-5863, Ecuador
| | - Olivier Thas
- Data Science Institute, I-Biostat, Hasselt University, Agoralaan-Gebouw D, 3590 Diepenbeek, Belgium
- National Institute for Applied Statistics Research Australia (NIASRA), University of Wollongong, Wollongong, NSW 2522, Australia
- Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Krijgslaan 281, 9000 Ghent, Belgium
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Everaert G, De Neve J, Boets P, Dominguez-Granda L, Mereta ST, Ambelu A, Hoang TH, Goethals PLM, Thas O. Comparison of the abiotic preferences of macroinvertebrates in tropical river basins. PLoS One 2014; 9:e108898. [PMID: 25279673 PMCID: PMC4184827 DOI: 10.1371/journal.pone.0108898] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2014] [Accepted: 08/03/2014] [Indexed: 11/18/2022] Open
Abstract
We assessed and compared abiotic preferences of aquatic macroinvertebrates in three river basins located in Ecuador, Ethiopia and Vietnam. Upon using logistic regression models we analyzed the relationship between the probability of occurrence of five macroinvertebrate families, ranging from pollution tolerant to pollution sensitive, (Chironomidae, Baetidae, Hydroptilidae, Libellulidae and Leptophlebiidae) and physical-chemical water quality conditions. Within the investigated physical-chemical ranges, nine out of twenty-five interaction effects were significant. Our analyses suggested river basin dependent associations between the macroinvertebrate families and the corresponding physical-chemical conditions. It was found that pollution tolerant families showed no clear abiotic preference and occurred at most sampling locations, i.e. Chironomidae were present in 91%, 84% and 93% of the samples taken in Ecuador, Ethiopia and Vietnam. Pollution sensitive families were strongly associated with dissolved oxygen and stream velocity, e.g. Leptophlebiidae were only present in 48%, 2% and 18% of the samples in Ecuador, Ethiopia and Vietnam. Despite some limitations in the study design, we concluded that associations between macroinvertebrates and abiotic conditions can be river basin-specific and hence are not automatically transferable across river basins in the tropics.
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Affiliation(s)
- Gert Everaert
- Aquatic Ecology Research Unit, Department Applied Ecology and Environmental Biology, Ghent University, Ghent, Belgium
- Environmental Toxicology Research Group, Department Applied Ecology and Environmental Biology, Ghent University, Ghent, Belgium
- * E-mail:
| | - Jan De Neve
- Department of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Ghent, Belgium
| | - Pieter Boets
- Aquatic Ecology Research Unit, Department Applied Ecology and Environmental Biology, Ghent University, Ghent, Belgium
| | - Luis Dominguez-Granda
- Department of Chemical and Environmental Sciences, Escuela Superior Politécnica del Litoral (ESPOL), Guayaquil, Ecuador
| | - Seid Tiku Mereta
- Department of Environmental Health Science and Technology, Jimma University, Jimma, Ethiopia
| | - Argaw Ambelu
- Department of Environmental Health Science and Technology, Jimma University, Jimma, Ethiopia
| | - Thu Huong Hoang
- School of Environmental Science and Technology, Hanoi University of Science and Technology, Hanoi, Vietnam
| | - Peter L. M. Goethals
- Aquatic Ecology Research Unit, Department Applied Ecology and Environmental Biology, Ghent University, Ghent, Belgium
| | - Olivier Thas
- Department of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Ghent, Belgium
- National Institute for Applied Statistics Research Australia (NIASRA), School of Mathematics and Applied Statistics, University of Wollongong, Wollongong, Australia
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