Abstract
Conservation and restoration of wetlands have become a global priority as awareness of their importance increases. At present, efforts to restore wetlands have primarily focused on enhancing water quality and biodiversity, with little attention paid to analyzing the recovery of the food web. We investigated the differences in food web attributes between natural and restored wetlands in Qingtongxia wetlands on the upper reaches of the Yellow River, China. Our results showed that there were no significant differences in the community structure of aquatic organism (fish, macroinvertebrates, zooplankton, phytoplankton and macrophytes) and water parameters (TP, TN, DO, et al.) between natural and restored wetlands. Restored wetlands had higher total system throughput and primary productivity compared to natural wetlands, which increased the proportion of the detritus food chain in the energy supply. However, energy transfer at the system level was less efficient than in natural wetlands. Indices of cycling, path length and network analysis showed that the restored wetland was less mature but more stable than the natural wetland. Given the inconsistency of food web recovery with water variables and aquatic assemblages, integrating community and food web approaches in future wetland restoration will be critical to refining restoration goals and enhancing conservation efforts.
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References
Abobi, S. M., L. C. Kluger & M. Wolff, 2021. Comparative assessment of food web structure and fisheries productivity of three reservoirs in Ghana. Fisheries Management and Ecology 28: 573–591. https://doi.org/10.1111/fme.12506.
Albert, J. S., G. Destouni, S. M. Duke-Sylvester, A. E. Magurran, T. Oberdorff, R. E. Reis, K. O. Winemiller & W. J. Ripple, 2021. Scientists’ warning to humanity on the freshwater biodiversity crisis. Ambio 50: 85–94. https://doi.org/10.1007/S13280-020-01318-8.
Alp, M. & J. Cucherousset, 2022. Food webs speak of human impact: Using stable isotope-based tools to measure ecological consequences of environmental change. Food Webs. https://doi.org/10.1016/j.fooweb.2021.e00218.
Bakhtiyar, Y., M. Y. Arafat, S. Andrabi & H. I. Tak, 2020. Zooplankton: the significant ecosystem service provider in aquatic environment. Bioremediation and Biotechnology 3: 227–244. https://doi.org/10.1007/978-3-030-46075-4_10/TABLES/1.
Belfiore, A. P., R. P. Buley, E. G. Fernandez-Figueroa, M. F. Gladfelter & A. E. Wilson, 2021. Zooplankton as an alternative method for controlling phytoplankton in catfish pond aquaculture. Aquaculture Reports 21: 100897. https://doi.org/10.1016/J.AQREP.2021.100897.
Brown, L. E., S. J. Ramchunder, J. M. Beadle & J. Holden, 2016. Macroinvertebrate community assembly in pools created during peatland restoration. The Science of the Total Environment 569–570: 361–372. https://doi.org/10.1016/J.SCITOTENV.2016.06.169.
Cai, Y., J. Liang, P. Zhang, Q. Wang, Y. Wu, Y. Ding, H. Wang, C. Fu & J. Sun, 2021. Review on strategies of close-to-natural wetland restoration and a brief case plan for a typical wetland in northern China. Chemosphere 285: 131534. https://doi.org/10.1016/j.chemosphere.2021.131534.
Christensen, V., 1995. Ecosystem maturity - towards quantification. Ecological Modelling 77: 3–32. https://doi.org/10.1016/0304-3800(93)E0073-C.
Christensen, V. & D. Pauly, 1992. ECOPATH II-a software for balancing steady-state ecosystem models and calculating network characteristics. Ecological Modelling 61: 169–185. https://doi.org/10.1016/0304-3800(92)90016-8.
Christensen, V. & C. J. Walters, 2004. Ecopath with Ecosim: Methods, capabilities and limitations. Ecological Modelling 172: 109–139. https://doi.org/10.1016/j.ecolmodel.2003.09.003.
Christensen, V., C. J. Walters, R. Ahrens, J. Alder, J. Buszowski, L. B. Christensen, W. W. L. Cheung, J. Dunne, R. Froese, V. Karpouzi, K. Kaschner, K. Kearney, S. Lai, V. Lam, M. L. D. Palomares, A. Peters-Mason, C. Piroddi, J. L. Sarmiento, J. Steenbeek, R. Sumaila, R. Watson, D. Zeller & D. Pauly, 2009. Database-driven models of the world’s Large Marine Ecosystems. Ecological Modelling 220: 1984–1996. https://doi.org/10.1016/j.ecolmodel.2009.04.041.
Corrales, X., E. Ofir, M. Coll, M. Goren, D. Edelist, J. J. Heymans & G. Gal, 2017. Modeling the role and impact of alien species and fisheries on the Israeli marine continental shelf ecosystem. Journal of Marine Systems 170: 88–102. https://doi.org/10.1016/j.jmarsys.2017.02.004.
D’Alelio, D., S. Libralato, T. Wyatt & M. Ribera D’Alcalà, 2016. Ecological-network models link diversity, structure and function in the plankton food-web. Scientific Reports 6: 21806. https://doi.org/10.1038/srep21806.
Estes, J. A., J. Terborgh, J. S. Brashares, M. E. Power, J. Berger, W. J. Bond, S. R. Carpenter, T. E. Essington, R. D. Holt, J. B. C. Jackson, R. J. Marquis, L. Oksanen, T. Oksanen, R. T. Paine, E. K. Pikitch, W. J. Ripple, S. A. Sandin, M. Scheffer, T. W. Schoener, J. B. Shurin, A. R. E. Sinclair, M. E. Soulé, R. Virtanen & D. A. Wardle, 2011. Trophic downgrading of planet Earth. Science 333: 301–306. https://doi.org/10.1126/science.1205106.
Feng, K., W. Deng, Y. Zhang, K. Tao, J. Yuan, J. Liu, Z. Li, S. Lek, Q. Wang & B. Hugueny, 2023. Eutrophication induces functional homogenization and traits filtering in Chinese lacustrine fish communities. Science of the Total Environment 857: 159651. https://doi.org/10.1016/J.SCITOTENV.2022.159651.
Fluet-Chouinard, E., B. D. Stocker, Z. Zhang, A. Malhotra, J. R. Melton, B. Poulter, J. O. Kaplan, K. K. Goldewijk, S. Siebert, T. Minayeva, G. Hugelius, H. Joosten, A. Barthelmes, C. Prigent, F. Aires, A. M. Hoyt, N. Davidson, C. M. Finlayson, B. Lehner, R. B. Jackson & P. B. McIntyre, 2023. Extensive global wetland loss over the past three centuries. Nature 614: 281–286. https://doi.org/10.1038/s41586-022-05572-6.
Fu, H., P. Gaüzère, J. G. Molinos, P. Zhang, H. Zhang, M. Zhang, Y. Niu, H. Yu, L. E. Brown & J. Xu, 2021. Mitigation of urbanization effects on aquatic ecosystems by synchronous ecological restoration. Water Research 204: 117587. https://doi.org/10.1016/j.watres.2021.117587.
Giralt Paradell, O., B. Díaz López, S. Methion & E. Rogan, 2020. Food-web interactions in a coastal ecosystem influenced by upwelling and terrestrial runoff off North-West Spain. Marine Environmental Research 157: 104933. https://doi.org/10.1016/j.marenvres.2020.104933.
Guan, Q., L. Wang, B. Pan, W. Guan, X. Sun & A. Cai, 2016. Distribution features and controls of heavy metals in surface sediments from the riverbed of the Ningxia-Inner Mongolian reaches, Yellow River, China. Chemosphere 144: 29–42. https://doi.org/10.1016/j.chemosphere.2015.08.036.
Guan, Q., H. Wu, X. Xu, Z. Zhang & Z. Xue, 2023. Geographical and climate-dependent patterns in spatial distributions of snail (Mollusca: Gastropoda) assemblages in freshwater wetlands across Northeast China. Freshwater Biology 68: 1066–1078. https://doi.org/10.1111/FWB.14086.
Haak, D. M., B. D. Fath, V. E. Forbes, D. R. Martin & K. L. Pope, 2017. Coupling ecological and social network models to assess “transmission” and “contagion” of an aquatic invasive species. Journal of Environmental Management 190: 243–251. https://doi.org/10.1016/j.jenvman.2016.12.012.
Hoeinghaus, D. J., K. O. Winemiller, A. A. Agostinho, D. J. Hoeinghaus & K. O. Winemiller, 2008. Hydrogeomorphology and river impoundment affect food-chain length of diverse Neotropical food webs. Oikos 117: 984–995. https://doi.org/10.1111/j.2008.0030-1299.16459.x.
Iram, N., D. T. Maher, C. E. Lovelock, T. Baker, C. Cadier & M. F. Adame, 2022. Climate change mitigation and improvement of water quality from the restoration of a subtropical coastal wetland. Ecological Applications: A Publication of the Ecological Society of America 32: e2620. https://doi.org/10.1002/EAP.2620.
James, W. R., J. S. Lesser, S. Y. Litvin & J. A. Nelson, 2020. Assessment of food web recovery following restoration using resource niche metrics. Science of the Total Environment 711: 134801. https://doi.org/10.1016/J.SCITOTENV.2019.134801.
Janjua, M. Y., R. Tallman & K. Howland, 2014. Elucidation of ecosystem attributes of two Mackenzie great lakes with trophic network analysis. Aquatic Ecosystem Health and Management 17: 151–160. https://doi.org/10.1080/14634988.2014.910428.
Kuiper, J. J., C. Van Altena, P. C. De Ruiter, L. P. A. Van Gerven, J. H. Janse & W. M. Mooij, 2015. Food-web stability signals critical transitions in temperate shallow lakes. Nature Communications 6: 1–7. https://doi.org/10.1038/ncomms8727.
Lamers, L. P. M., M. A. Vile, A. P. Grootjans, M. C. Acreman, R. van Diggelen, M. G. Evans, C. J. Richardson, L. Rochefort, A. M. Kooijman, J. G. M. Roelofs & A. J. P. Smolders, 2015. Ecological restoration of rich fens in Europe and North America: From trial and error to an evidence-based approach. Biological Reviews of the Cambridge Philosophical Society 90: 182–203. https://doi.org/10.1111/brv.12102.
Li, B., Y. Wang, W. Tan, N. Saintilan, G. Lei & L. Wen, 2021. Land cover alteration shifts ecological assembly processes in floodplain lakes: Consequences for fish community dynamics. Science of the Total Environment 782: 146724. https://doi.org/10.1016/J.SCITOTENV.2021.146724.
Li, C., Y. Xian, C. Ye, Y. Wang, W. Wei, H. Xi & B. Zheng, 2019. Wetland ecosystem status and restoration using the Ecopath with Ecosim (EWE) model. Science of the Total Environment 658: 305–314. https://doi.org/10.1016/j.scitotenv.2018.12.128.
Libralato, S., V. Christensen & D. Pauly, 2006. A method for identifying keystone species in food web models. Ecological Modelling 195: 153–171. https://doi.org/10.1016/J.ECOLMODEL.2005.11.029.
Link, J. S., 2010. Adding rigor to ecological network models by evaluating a set of pre-balance diagnostics: a plea for PREBAL. Ecological Modelling 221: 1580–1591. https://doi.org/10.1016/j.ecolmodel.2010.03.012.
Liu, T., L. Yu, X. Chen, H. Wu, H. Lin, C. Li & J. Hou, 2023. Environmental laws and ecological restoration projects enhancing ecosystem services in China: a meta-analysis. Journal of Environmental Management 327: 116810. https://doi.org/10.1016/j.jenvman.2022.116810.
Lomartire, S., J. C. Marques & A. M. M. Gonçalves, 2021. The key role of zooplankton in ecosystem services: a perspective of interaction between zooplankton and fish recruitment. Ecological Indicators 129: 107867. https://doi.org/10.1016/J.ECOLIND.2021.107867.
Matthews, J. W., G. Spyreas & A. G. Endress, 2009. Trajectories of vegetation-based indicators used to assess wetland restoration progress. Ecological Applications 19: 2093–2107. https://doi.org/10.1890/08-1371.1.
May, R. M., 1973. Stability and complexity in model ecosystems. Monographs in Population Biology 6: 1–235. https://doi.org/10.2307/3743.
McCann, K. & A. Hastings, 1997. Reevaluating the omnivorystability relationship in food webs. Proceedings of the Royal Society of London Series b: Biological Sciences 264: 1249–1254. https://doi.org/10.1098/RSPB.1997.0172.
McHugh, P. A., A. R. McIntosh & P. G. Jellyman, 2010. Dual influences of ecosystem size and disturbance on food chain length in streams. Ecology Letters 13: 881–890. https://doi.org/10.1111/j.1461-0248.2010.01484.x.
Moreno-Mateos, D., A. Alberdi, E. Morriën, W. H. van der Putten, A. Rodríguez-Uña & D. Montoya, 2020. The long-term restoration of ecosystem complexity. Nature Ecology and Evolution 4: 676–685. https://doi.org/10.1038/s41559-020-1154-1.
Nelson, J. A., J. M. Harris, J. S. Lesser, W. R. James, G. M. Suir & W. P. Broussard, 2020. New mapping metrics to test functional response of food webs to coastal restoration. Food Webs 25: e00179. https://doi.org/10.1016/J.FOOWEB.2020.E00179.
Newsome, T. M., A. C. Greenville, D. Ćirović, C. R. Dickman, C. N. Johnson, M. Krofel, M. Letnic, W. J. Ripple, E. G. Ritchie, S. Stoyanov & A. J. Wirsing, 2017. Top predators constrain mesopredator distributions. Nature Communications 8: 15469. https://doi.org/10.1038/ncomms15469.
Niiranen, S., J. Yletyinen, M. T. Tomczak, T. Blenckner, O. Hjerne, B. R. Mackenzie, B. Müller-Karulis, T. Neumann & H. E. M. Meier, 2013. Combined effects of global climate change and regional ecosystem drivers on an exploited marine food web. Global Change Biology 19: 3327–3342. https://doi.org/10.1111/gcb.12309.
Odum, E. P., 1969. The strategy of ecosystem development. Science 164: 262–270. https://doi.org/10.1126/SCIENCE.164.3877.262.
Pérez-Españ, H. & F. Arreguín-Sánchez, 2001. An inverse relationship between stability and maturity in models of aquatic ecosystems. Ecological Modelling 145: 189–196. https://doi.org/10.1016/S0304-3800(01)00390-8.
Pimm, S. L. & J. H. Lawton, 1977. Number of trophic levels in ecological communities. Nature 268: 329–331. https://doi.org/10.1038/268329a0.
Pimm, S. L. & J. H. Lawton, 1978. On feeding on more than one trophic level. Nature 275: 542–544. https://doi.org/10.1038/275542a0.
Post, D. M., M. L. Pace & N. G. Halrston, 2000. Ecosystem size determines food-chain length in lakes. Nature 405: 1047–1049. https://doi.org/10.1038/35016565.
Qu, Y., G. Sun, C. Luo, X. Zeng, H. Zhang, N. Murray & N. Xu, 2019. Identifying restoration priorities for wetlands based on historical distributions of biodiversity features and restoration suitability. Journal of Environmental Management 231: 1222–1231. https://doi.org/10.1016/j.jenvman.2018.10.057.
Saint-Béat, B., D. Baird, H. Asmus, R. Asmus, C. Bacher, S. R. Pacella, G. A. Johnson, V. David, A. F. Vézina & N. Niquil, 2015. Trophic networks: How do theories link ecosystem structure and functioning to stability properties? A review. Ecological Indicators 52: 458–471. https://doi.org/10.1016/j.ecolind.2014.12.017.
Shurin, J. B., D. S. Gruner & H. Hillebrand, 2006. All wet or dried up? Real differences between aquatic and terrestrial food webs. Proceedings of the Royal Society B: Biological Sciences 273: 1–9. https://doi.org/10.1098/rspb.2005.3377.
Sreekanth, G. B., S. Mujawar, D. M. Lal, T. Mayekar, J. Stephen, R. Raghavan, A. B. Kumar & B. S. Ingole, 2022. Modelling the mixed impacts of multiple invasive alien fish species in a closed freshwater ecosystem in India. Environmental Science and Pollution Research 29: 58278–58296. https://doi.org/10.1007/s11356-022-19794-8.
Stock, A., C. C. Murray, E. J. Gregr, J. Steenbeek, E. Woodburn, F. Micheli, V. Christensen & K. M. A. Chan, 2023. Exploring multiple stressor effects with Ecopath, Ecosim, and Ecospace: Research designs, modeling techniques, and future directions. Science of the Total Environment 869: 161719. https://doi.org/10.1016/j.scitotenv.2023.161719.
Pimm, Stuart L., 1979. Complexity and stability: another look at MacArthur’s original hypothesis. Oikos 33: 351–357. https://doi.org/10.2307/3544322.
Suding, K., 2011. Toward an era of restoration in ecology: Successes, failures, and opportunities ahead. Annual Review of Ecology, Evolution, and Systematics 42: 465–487. https://doi.org/10.1146/ANNUREV-ECOLSYS-102710-145115.
Sueltenfuss, J. P. & D. J. Cooper, 2019. A new approach for hydrologic performance standards in wetland mitigation. Journal of Environmental Management 231: 1154–1163. https://doi.org/10.1016/j.jenvman.2018.11.001.
Susini, I. & V. L. G. Todd, 2021. Predictive capacity of Ecopath with Ecosim: Model performance and ecological indicators’ response to imprecision. Environmental Modelling and Software 143: 105098. https://doi.org/10.1016/j.envsoft.2021.105098.
Suweis, S., F. Simini, J. R. Banavar & A. Maritan, 2013. Emergence of structural and dynamical properties of ecological mutualistic networks. Nature 500: 449–452. https://doi.org/10.1038/nature12438.
Takimoto, G. & D. M. Post, 2013. Environmental determinants of food-chain length: a meta-analysis. Ecological Research 28: 675–681. https://doi.org/10.1007/s11284-012-0943-7.
Tanaka, Y. & H. Mano, 2012. Functional traits of herbivores and food chain efficiency in a simple aquatic community model. Ecological Modelling 237–238: 88–100. https://doi.org/10.1016/J.ECOLMODEL.2012.04.021.
Thompson, R. M., U. Brose, J. A. Dunne, R. O. Hall, S. Hladyz, R. L. Kitching, N. D. Martinez, H. Rantala, T. N. Romanuk, D. B. Stouffer & J. M. Tylianakis, 2012. Food webs: Reconciling the structure and function of biodiversity. Trends in Ecology and Evolution 27: 689–697. https://doi.org/10.1016/j.tree.2012.08.005.
Trzcinski, M. K., D. S. Srivastava, B. Corbara, O. Dézerald, C. Leroy, J. F. Carrias, A. Dejean & R. Céréghino, 2016. The effects of food web structure on ecosystem function exceeds those of precipitation. Journal of Animal Ecology 85: 1147–1160. https://doi.org/10.1111/1365-2656.12538.
Ulanowicz, R. E., 2003. Some steps toward a central theory of ecosystem dynamics. Computational Biology and Chemistry 27: 523–530. https://doi.org/10.1016/S1476-9271(03)00050-1.
Ulanowicz, R. E., S. J. Goerner, B. Lietaer & R. Gomez, 2009. Quantifying sustainability: Resilience, efficiency and the return of information theory. Ecological Complexity 6: 27–36. https://doi.org/10.1016/J.ECOCOM.2008.10.005.
Ulanowlcz, R. E. & J. S. Norden, 1990. Symmetrical overhead in flow networks. International Journal of Systems Science 21: 429–437. https://doi.org/10.1080/00207729008910372.
Valls, A., M. Coll, V. Christensen & A. M. Ellison, 2015. Keystone species: toward an operational concept for marine biodiversity conservation. Ecological Monographs 85: 29–47. https://doi.org/10.1890/14-0306.1.
Van Asselen, S., P. H. Verburg, J. E. Vermaat & J. H. Janse, 2013. Drivers of wetland conversion: a global meta-analysis. PLoS ONE 8: e81292. https://doi.org/10.1371/journal.pone.0081292.
Vilas, D., J. Buszowski, S. Sagarese, J. Steenbeek, Z. Siders & D. Chagaris, 2023. Evaluating red tide effects on the West Florida Shelf using a spatiotemporal ecosystem modeling framework. Scientific Reports 13: 2541. https://doi.org/10.1038/s41598-023-29327-z.
Wang, S., L. Wang, Y. Zheng, Z. B. Chen, Y. Yang, H. J. Lin, X. Q. Yang & T. T. Wang, 2019. Application of mass-balance modelling to assess the effects of ecological restoration on energy flows in a subtropical reservoir, China. Science of the Total Environment 664: 780–792. https://doi.org/10.1016/j.scitotenv.2019.01.334.
Wang, S., T. T. Wang, H. J. Lin, S. D. Stewart, G. Cheng, W. Li, F. J. Yang, W. Da Huang, Z. B. Chen & S. G. Xie, 2021. Impacts of environmental factors on the food web structure, energy flows, and system attributes along a subtropical urban river in southern China. Science of the Total Environment 794: 148673. https://doi.org/10.1016/j.scitotenv.2021.148673.
Ward, C. L. & K. S. McCann, 2017. A mechanistic theory for aquatic food chain length. Nature Communications 8: 2028. https://doi.org/10.1038/s41467-017-02157-0.
Wilson, E. E. & E. M. Wolkovich, 2011. Scavenging: How carnivores and carrion structure communities. Trends in Ecology and Evolution 26: 129–135. https://doi.org/10.1016/j.tree.2010.12.011.
Wortley, L., J. M. Hero & M. Howes, 2013. Evaluating ecological restoration success: a review of the literature. Restoration Ecology 21: 537–543. https://doi.org/10.1111/rec.12028.
Yang, S., Z. Yuan, B. Ye, F. Zhu, Z. Chu & X. Liu, 2024. Impacts of landscape pattern on plants diversity and richness of 20 restored wetlands in Chaohu Lakeside of China. Science of the Total Environment 906: 167649. https://doi.org/10.1016/J.SCITOTENV.2023.167649.
Acknowledgements
This work was supported by the Science and Technology Development Program of Jilin Province (Nos. 20230101348JC; JL2022-12, 20210509037RQ), National Key R&D Program of China (No. 2022YFF1300900), the National Natural Science Foundation of China (No. U20A2083), and the Professional Association of the Alliance of International Science Organizations (No. ANSO-PA-2020-14).
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Lei Xu: Conceptualization, Formal analysis, Investigation, Methodology, Writing – original draft, Visualization. Manhong Liu: Conceptualization, Methodology, Supervision, Writing – review & editing. Haitao Wu: Data curation, Conceptualization, Methodology, Supervision, Writing – review & editing. Jiamin Liu: Investigation, validation. Qiang Guan: Methodology, Writing – review & editing. Kangle Lu: Methodology, Writing – review & editing. Xiaoyang Ming: Investigation.
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Xu, L., Guan, Q., Lu, K. et al. Food web restoration lags behind biological communities: a case study from a floodplain wetland. Hydrobiologia 851, 2609–2626 (2024). https://doi.org/10.1007/s10750-024-05474-w
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DOI: https://doi.org/10.1007/s10750-024-05474-w