Quantifying the response of aquatic biodiversity to variations in river hydrology and water quality in a healthy water ecology pilot city, China
C. S. Zhao A B C , T. L. Pan B , S. T. Yang A B F , Y. Sun D , Y. Zhang B , Y. R. Ge D , B. E. Dong E , Z. S. Zhang D and H. M. Zhang E
+ Author Affiliations
- Author Affiliations
A College of Water Sciences, Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing Normal University, 19 Xinjiekouwai Street, Beijing, 100875, PR China.
B School of Geography, Faculty of Geographical Science, Beijing Normal University, 19 Xinjiekouwai Street, Beijing, 100875, PR China.
C ICube, UdS, CNRS (UMR 7357), 300 Boulevard Sebastien Brant, CS 10413, F-67412 Illkirch, France.
D Jinan Survey Bureau of Hydrology and Water Resources, 2 Shanshi North Street, Jinan City, 250013, PR China.
E Dongying Survey Bureau of Hydrology and Water Resources, 40 Zibo Road, Dongying District, Dongying City, 257000, PR China.
F Corresponding author. Email: yangshengtian@bnu.edu.cn
Marine and Freshwater Research 70(5) 670-681 https://doi.org/10.1071/MF18385
Submitted: 4 October 2018 Accepted: 13 February 2019 Published: 12 April 2019
Abstract
Prediction and assessment of the effects of habitat change on aquatic biodiversity remain a hot issue globally. This paper developed a practical methodology based on ecosystem models to comprehensively assess the effects of habitat changes on aquatic biodiversity. The partial least-squares (PLS) method was used to analyse the key hydrological and water quality factors influencing riverine aquatic organisms. The biomass of aquatic organisms under undisturbed conditions was simulated using the food web model Ecosim. Based on the relationship between habitat factors variation and biodiversity variation, a multidimensional river hydrology–water quality–biodiversity response model was established. Application and testing of the methodologies in the first water ecology pilot city in China, namely Jinan City, showed that four water quality factors (total phosphorus, total nitrogen, ammonia nitrogen and dissolved oxygen) significantly affected aquatic biodiversity. For hydrological factors, water depth had a strong effect on fish diversity, whereas flow velocity largely affected fish and algal diversity. The application suggested that response model was practical in modelling the effects of habitat variation on biodiversity. It is anticipated that this model will help assess the effects of changes due to climate- and human-induced stress on aquatic ecosystems and provide a scientific basis for river management decisions.
Additional keywords: food web modelling, river ecosystems.
References
Abdi, H., and Williams, L. J. (2010). Principal component analysis. Wiley Interdisciplinary Reviews: Computational Statistics 2, 433–459.| Principal component analysis.Crossref | GoogleScholarGoogle Scholar |
Acuña, V., Hunter, M., and Ruhí, A. (2017). Managing temporary streams and rivers as unique rather than second-class ecosystems. Biological Conservation 211, 12–19.
| Managing temporary streams and rivers as unique rather than second-class ecosystems.Crossref | GoogleScholarGoogle Scholar |
Arthington, Á. H., Naiman, R. J., Mcclain, M. E., and Nilsson, C. (2010). Preserving the biodiversity and ecological services of rivers: new challenges and research opportunities. Freshwater Biology 55, 1–16.
| Preserving the biodiversity and ecological services of rivers: new challenges and research opportunities.Crossref | GoogleScholarGoogle Scholar |
Carpenter, S. R., Stanley, E. H., and Vander Zanden, M. J. (2011). State of the world’s freshwater ecosystems: physical, chemical, and biological changes. Annual Review of Environment and Resources 36, 75–99.
| State of the world’s freshwater ecosystems: physical, chemical, and biological changes.Crossref | GoogleScholarGoogle Scholar |
Chun, H., and Keleş, S. (2010). Sparse partial least squares regression for simultaneous dimension reduction and variable selection. Journal of the Royal Statistical Society – B. Statistical Methodology 72, 3–25.
| Sparse partial least squares regression for simultaneous dimension reduction and variable selection.Crossref | GoogleScholarGoogle Scholar | 20107611PubMed |
Colvin, M. E., Pierce, C. L., and Stewart, T. W. (2015). A food web modeling analysis of a Midwestern, USA eutrophic lake dominated by non-native common carp and zebra mussels. Ecological Modelling 312, 26–40.
| A food web modeling analysis of a Midwestern, USA eutrophic lake dominated by non-native common carp and zebra mussels.Crossref | GoogleScholarGoogle Scholar |
Cui, B., Wang, C., Tao, W., and You, Z. (2009). River channel network design for drought and flood control: a case study of Xiaoqinghe River basin, Jinan City, China. Journal of Environmental Management 90, 3675–3686.
| River channel network design for drought and flood control: a case study of Xiaoqinghe River basin, Jinan City, China.Crossref | GoogleScholarGoogle Scholar | 19683855PubMed |
Deng, X., Xu, Y., Han, L., Yu, Z., Yang, M., and Pan, G. (2015). Assessment of river health based on an improved entropy-based fuzzy matter-element model in the Taihu Plain, China. Ecological Indicators 57, 85–95.
| Assessment of river health based on an improved entropy-based fuzzy matter-element model in the Taihu Plain, China.Crossref | GoogleScholarGoogle Scholar |
Du, J., Cheung, W. W., Zheng, X., Chen, B., Liao, J., and Hu, W. (2015). Comparing trophic structure of a subtropical bay as estimated from mass-balance food web model and stable isotope analysis. Ecological Modelling 312, 175–181.
| Comparing trophic structure of a subtropical bay as estimated from mass-balance food web model and stable isotope analysis.Crossref | GoogleScholarGoogle Scholar |
Dukes, J. S. (2001). Biodiversity and invasibility in grassland microcosms. Oecologia 126, 563–568.
| Biodiversity and invasibility in grassland microcosms.Crossref | GoogleScholarGoogle Scholar | 28547241PubMed |
Fornell, C., and Larcker, D. (1987). A second generation of multivariate analysis: classification of methods and implications for marketing research. Review of Marketing 51, 407–450.
Fu, B. J., Yu, D. D., and Lv, N. (2017). An indicator system for biodiversity and ecosystem services evaluation in China. Acta Ecologica Sinica 37, 341–348.
Gallardo, B., Clavero, M., Sánchez, M. I., and Vilà, M. (2016). Global ecological impacts of invasive species in aquatic ecosystems. Global Change Biology 22, 151–163.
| Global ecological impacts of invasive species in aquatic ecosystems.Crossref | GoogleScholarGoogle Scholar | 26212892PubMed |
Hong, Q., Meng, Q., Wang, P., Wang, H. Y., and Liu, R. (2010). Regional aquatic ecological security assessment in Jinan, China. Aquatic Ecosystem Health & Management 13, 319–327.
| Regional aquatic ecological security assessment in Jinan, China.Crossref | GoogleScholarGoogle Scholar |
Karatayev, A. Y., Burlakova, L. E., and Dodson, S. I. (2005). Community analysis of Belarusian lakes: relationship of species diversity to morphology, hydrology and land use. Journal of Plankton Research 27, 1045–1053.
| Community analysis of Belarusian lakes: relationship of species diversity to morphology, hydrology and land use.Crossref | GoogleScholarGoogle Scholar |
Khaledian, Y., Kiani, F., Ebrahimi, S., Brevik, E. C., and Aitkenhead‐Peterson, J. (2017). Assessment and monitoring of soil degradation during land use change using multivariate analysis. Land Degradation & Development 28, 128–141.
| Assessment and monitoring of soil degradation during land use change using multivariate analysis.Crossref | GoogleScholarGoogle Scholar |
Krishnan, A., Williams, L. J., McIntosh, A. R., and Abdi, H. (2011). Partial least squares (PLS) methods for neuroimaging: a tutorial and review. NeuroImage 56, 455–475.
| Partial least squares (PLS) methods for neuroimaging: a tutorial and review.Crossref | GoogleScholarGoogle Scholar | 20656037PubMed |
Lavorel, S., Prieur‐Richard, A. H., and Grigulis, K. (1999). Invasibility and diversity of plant communities: from patterns to processes. Diversity & Distributions 5, 41–49.
| Invasibility and diversity of plant communities: from patterns to processes.Crossref | GoogleScholarGoogle Scholar |
Li, X., Wang, C., Fan, W., and Lv, X. (2013). Optimization of the spatiotemporal parameters in a dynamical marine ecosystem model based on the adjoint assimilation. Mathematical Problems in Engineering 2013, 1–12.
Mansour, H. A., Shaaban, A. M., and Saber, A. A. (2015). Effect of some environmental factors on the distributions and chlorophyll contents of fresh water phytoplankton of the River Nile before El-Qanater El-Khairia Barrage. Egyptian Journal of Botany 55, 45–60.
| Effect of some environmental factors on the distributions and chlorophyll contents of fresh water phytoplankton of the River Nile before El-Qanater El-Khairia Barrage.Crossref | GoogleScholarGoogle Scholar |
Marzin, A., Delaigue, O., Logez, M., Belliard, J., and Pont, D. (2014). Uncertainty associated with river health assessment in a varying environment: the case of a predictive fish-based index in France. Ecological Indicators 43, 195–204.
| Uncertainty associated with river health assessment in a varying environment: the case of a predictive fish-based index in France.Crossref | GoogleScholarGoogle Scholar |
Mitrovic, S. M., Hardwick, L., and Dorani, F. (2011). Use of flow management to mitigate cyanobacterial blooms in the Lower Darling River, Australia. Journal of Plankton Research 33, 229–241.
| Use of flow management to mitigate cyanobacterial blooms in the Lower Darling River, Australia.Crossref | GoogleScholarGoogle Scholar |
Muir, A. M., Hansen, M. J., Bronte, C. R., and Krueger, C. C. (2016). If Arctic charr Salvelinus alpinus is ‘the most diverse vertebrate’, what is the lake charr Salvelinus namaycush? Fish and Fisheries 17, 1194–1207.
| If Arctic charr Salvelinus alpinus is ‘the most diverse vertebrate’, what is the lake charr Salvelinus namaycush?Crossref | GoogleScholarGoogle Scholar |
Naeem, S., and Li, S. (1997). Biodiversity enhances ecosystem reliability. Nature 390, 507–509.
| Biodiversity enhances ecosystem reliability.Crossref | GoogleScholarGoogle Scholar |
Oliva-Teles, A. (2012). Nutrition and health of aquaculture fish. Journal of Fish Diseases 35, 83–108.
| Nutrition and health of aquaculture fish.Crossref | GoogleScholarGoogle Scholar | 22233511PubMed |
Paerl, H. W., Gardner, W. S., Havens, K. E., Joyner, A. R., McCarthy, M. J., Newell, S. E., Qin, B., and Scott, J. T. (2016). Mitigating cyanobacterial harmful algal blooms in aquatic ecosystems impacted by climate change and anthropogenic nutrients. Harmful Algae 54, 213–222.
| Mitigating cyanobacterial harmful algal blooms in aquatic ecosystems impacted by climate change and anthropogenic nutrients.Crossref | GoogleScholarGoogle Scholar | 28073478PubMed |
Phillips, J. D. (2003). Toledo Bend Reservoir and geomorphic response in the lower Sabine River. River Research and Applications 19, 137–159.
| Toledo Bend Reservoir and geomorphic response in the lower Sabine River.Crossref | GoogleScholarGoogle Scholar |
Quinlan, E., Gibbins, C. N., Batalla, R. J., and Vericat, D. (2015). Impacts of small scale flow regulation on sediment dynamics in an ecologically important upland river. Environmental Management 55, 671–686.
| Impacts of small scale flow regulation on sediment dynamics in an ecologically important upland river.Crossref | GoogleScholarGoogle Scholar | 25526848PubMed |
Rigdon, E. E. (2016). Choosing PLS path modeling as analytical method in European management research: a realist perspective. European Management Journal 34, 598–605.
| Choosing PLS path modeling as analytical method in European management research: a realist perspective.Crossref | GoogleScholarGoogle Scholar |
Sear, D. A. (1996). Sediment transport processes in pool–riffle sequences. Earth Surface Processes and Landforms 21, 241–262.
| Sediment transport processes in pool–riffle sequences.Crossref | GoogleScholarGoogle Scholar |
Sell, K. S. (2003). Temporal influences of seasonal hypoxia on sediment biogeochemistry in coastal sediments. Geological Society of America 12, 138–151.
Shannon, C. E. (1948). A mathematical theory of communication. The Bell System Technical Journal 27, 379–423.
| A mathematical theory of communication.Crossref | GoogleScholarGoogle Scholar |
Silvano, R. A., Ramires, M., and Zuanon, J. (2009). Effects of fisheries management on fish communities in the floodplain lakes of a Brazilian Amazonian Reserve. Ecology Freshwater Fish 18, 156–166.
| Effects of fisheries management on fish communities in the floodplain lakes of a Brazilian Amazonian Reserve.Crossref | GoogleScholarGoogle Scholar |
Steinacher, M., Joos, F., Frolicher, T. L., Bopp, L., Cadule, P., Cocco, V., Gehlen, M., Moore, J. K., Schneider, B., and Segschneider, J. (2010). Projected 21st century decrease in marine productivity: a multi-model analysis. Biogeosciences 7, 979–1005.
| Projected 21st century decrease in marine productivity: a multi-model analysis.Crossref | GoogleScholarGoogle Scholar |
Suding, K., Higgs, E., Palmer, M., Callicott, J. B., Anderson, C. B., Baker, M., Gutrich, J. T., Hondule, K. L., LaFevor, M. C., Larson, B. M., Randall, A., Ruhl, J. B., and Schwarts, K. Z. S. (2015). Committing to ecological restoration. Science 348, 638–640.
| Committing to ecological restoration.Crossref | GoogleScholarGoogle Scholar | 25953995PubMed |
Vera-Mendoza, R. R., and Salas-de-León, D. A. (2014). Effect of environmental factors on zooplankton abundance and distribution in river discharge influence areas in the southern Gulf of Mexico. In ‘Fisheries Management of Mexican and Central American Estuaries’. (Eds F. Amezcua and B. Bellgraph.) pp. 93–112. (Springer: Dordrecht, Netherlands.)
Wenger, S. J., Isaak, D. J., Luce, C. H., Neville, H. M., Fausch, K. D., Dunham, J. B., Dauwalter, D. C., Young, M. K., Elsner, M. M., Rieman, R. E., Hamlet, A. F., and Willams, J. E. (2011). Flow regime, temperature, and biotic interactions drive differential declines of trout species under climate change. Proceedings of the National Academy of Sciences of the United States of America 108, 14175–14180.
| Flow regime, temperature, and biotic interactions drive differential declines of trout species under climate change.Crossref | GoogleScholarGoogle Scholar | 21844354PubMed |
Wold, S., Esbensen, K., and Geladi, P. (1987). Principal component analysis. Chemometrics and Intelligent Laboratory Systems 2, 37–52.
| Principal component analysis.Crossref | GoogleScholarGoogle Scholar |
Zhang, W., Zhang, X., Li, L., and Zhang, Z. (2007). Urban forest in Jinan City: distribution, classification and ecological significance. Catena 69, 44–50.
| Urban forest in Jinan City: distribution, classification and ecological significance.Crossref | GoogleScholarGoogle Scholar |
Zhang, Z. G., Shao, Y. S., and Xu, Z. X. (2010). Prediction of urban water demand on the basis of Engel’s coefficient and Hoffmann index: case studies in Beijing and Jinan, China. Water Science and Technology 62, 410–418.
| Prediction of urban water demand on the basis of Engel’s coefficient and Hoffmann index: case studies in Beijing and Jinan, China.Crossref | GoogleScholarGoogle Scholar |
Zhao, C. S., Sun, C. L., Xia, J., Hao, X. P., Li, G. F., Rebensburg, K., and Liu, C. M. (2010). An impact assessment method of dam/sluice on instream ecosystem and its application to the Bengbu Sluice of China. Water Resources Management 24, 4551–4565.
| An impact assessment method of dam/sluice on instream ecosystem and its application to the Bengbu Sluice of China.Crossref | GoogleScholarGoogle Scholar |
Zhao, C., Liu, C., Xia, J., Zhang, Y., Yu, Q., and Eamus, D. (2012). Recognition of key regions for restoration of phytoplankton communities in the Huai River basin, China. Journal of Hydrology 420–421, 292–300.
| Recognition of key regions for restoration of phytoplankton communities in the Huai River basin, China.Crossref | GoogleScholarGoogle Scholar |
Zhao, C. S., Sun, C. L., Liu, C. M., Xia, J., Yang, G., Liu, X. M., Zhang, D., Dong, B. E., and Sobkowiak, L. (2014). Analysis of regional zoobenthos status in the Huai River Basin, China, using two new ecological niche clustering approaches. Ecohydrology 7, 91–101.
| Analysis of regional zoobenthos status in the Huai River Basin, China, using two new ecological niche clustering approaches.Crossref | GoogleScholarGoogle Scholar |
Zhao, C. S., Yang, S. T., Liu, C. M., Dou, T. W., Yang, Z. L., Yang, Z. Y., Liu, X. L., Xiang, H., Nie, S. Y., Zhang, J. L., Mitrovic, S. M., Yu, Q., and Lim, R. P. (2015). Linking hydrologic, physical and chemical habitat environments for the potential assessment of fish community rehabilitation in a developing city. Journal of Hydrology 523, 384–397.
| Linking hydrologic, physical and chemical habitat environments for the potential assessment of fish community rehabilitation in a developing city.Crossref | GoogleScholarGoogle Scholar |
Zhao, C., Zhang, Y., Yang, S., Xiang, H., Sun, Y., Yang, Z., Yu, Q., and Lim, R. P. (2018a). Quantifying effects of hydrological and water quality disturbances on fish with food-web modeling. Journal of Hydrology 560, 1–10.
| Quantifying effects of hydrological and water quality disturbances on fish with food-web modeling.Crossref | GoogleScholarGoogle Scholar |
Zhao, C., Yang, S., Liu, J., Liu, C., Hao, F., Wang, Z., Zhang, H., Song, J., Mitrovic, S. M., and Lim, R. P. (2018b). Linking fish tolerance to water quality criteria for the assessment of environmental flows: a practical method for streamflow regulation and pollution control. Water Research 141, 96–108.
| Linking fish tolerance to water quality criteria for the assessment of environmental flows: a practical method for streamflow regulation and pollution control.Crossref | GoogleScholarGoogle Scholar | 29778871PubMed |
Zheng, W., Shi, H., Fang, G., Hu, L., Peng, S., and Zhu, M. (2012). Global sensitivity analysis of a marine ecosystem dynamic model of the Sanggou Bay. Ecological Modelling 247, 83–94.
| Global sensitivity analysis of a marine ecosystem dynamic model of the Sanggou Bay.Crossref | GoogleScholarGoogle Scholar |
Zhu, W., Cao, G., Li, Y., Xu, W., Shi, M., and Qin, L. (2015). Research on the health assessment of river ecosystem in the area of Tumen River Basin. Acta Ecologica Sinica 34, 3969–3977.
