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In the context of global degradation and loss of natural wetlands, waterbirds have been increasingly using artificial wetlands as alternative habitats. However, waterbirds are facing various threats in these artificial wetlands, due to dramatic environmental changes induced by anthropogenic activities. Exploring the effects of these changes on the temporal dynamics of the waterbird communities can help understand how waterbirds adapt to environmental changes and thus formulate effective management and conservation plans. In this study, we carried out field surveys on waterbirds and environmental factors across 20 subsidence wetlands created by underground coal mining in the Huainan coal mining area in the breeding seasons of 2016 and 2021. We predicted that the waterbird assemblages (i.e., number of individuals, species richness, Shannon–Wiener diversity, Pielou evenness and species composition) differed between the two years, and that these differences were correlated with the temporal changes in environmental factors. Across the surveyed wetlands, we recorded 26 waterbird species in 2016 and 23 in 2021. For individual wetlands, the number of waterbird individuals and species richness increased by 71.6% and 20.1%, respectively, over the five years, with no changes in Shannon–Wiener diversity and Pielou evenness. The overall increase in the number of bird individuals was mainly caused by an increase in vegetation gleaners and gulls that adapt well to anthropogenic activities. The species composition was significantly different between the two years, which was mainly caused by changes in the number of individuals of dominant species under influence of changes in human activities. For most wetlands, the temporal pairwise β-diversities could be explained by species turnover rather than nestedness, probably due to high mobility of waterbird species and dramatic changes in local environments. Our study suggests that waterbird communities could respond to environmental changes in subsidence wetlands, providing important implications for waterbird conservation in human-dominated artificial wetlands.


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Responses of breeding waterbird communities to environmental changes in subsidence wetlands in the North China Plain

Show Author's information Guangyao WangaJinming ZhaobWeiqiang LiaXiangrong SongaYong ZhangcChunlin Lia,d( )Willem F. de Boere
School of Resources and Environmental Engineering, Anhui University, Hefei, 230601, China
School of Life Science, Huaibei Normal University, Huaibei, 235000, China
College of Biology and the Environment, Nanjing Forestry University, Nanjing, 210037, China
Anhui Province Key Laboratory of Wetland Ecosystem Protection and Restoration, Anhui University, Hefei, 230601, China
Wildlife Ecology and Conservation Group, Wageningen University & Research, 6708PB, Wageningen, the Netherlands

Abstract

In the context of global degradation and loss of natural wetlands, waterbirds have been increasingly using artificial wetlands as alternative habitats. However, waterbirds are facing various threats in these artificial wetlands, due to dramatic environmental changes induced by anthropogenic activities. Exploring the effects of these changes on the temporal dynamics of the waterbird communities can help understand how waterbirds adapt to environmental changes and thus formulate effective management and conservation plans. In this study, we carried out field surveys on waterbirds and environmental factors across 20 subsidence wetlands created by underground coal mining in the Huainan coal mining area in the breeding seasons of 2016 and 2021. We predicted that the waterbird assemblages (i.e., number of individuals, species richness, Shannon–Wiener diversity, Pielou evenness and species composition) differed between the two years, and that these differences were correlated with the temporal changes in environmental factors. Across the surveyed wetlands, we recorded 26 waterbird species in 2016 and 23 in 2021. For individual wetlands, the number of waterbird individuals and species richness increased by 71.6% and 20.1%, respectively, over the five years, with no changes in Shannon–Wiener diversity and Pielou evenness. The overall increase in the number of bird individuals was mainly caused by an increase in vegetation gleaners and gulls that adapt well to anthropogenic activities. The species composition was significantly different between the two years, which was mainly caused by changes in the number of individuals of dominant species under influence of changes in human activities. For most wetlands, the temporal pairwise β-diversities could be explained by species turnover rather than nestedness, probably due to high mobility of waterbird species and dramatic changes in local environments. Our study suggests that waterbird communities could respond to environmental changes in subsidence wetlands, providing important implications for waterbird conservation in human-dominated artificial wetlands.

Keywords: Artificial wetlands, Environmental changes, Subsidence wetlands, Waterbird community

References(59)

Akinwande, M.O., Dikko, H.G., Samson, A., 2015. Variance inflation factor: as a condition for the inclusion of suppressor variable(s) in regression analysis. Open J. Stat. 5, 754–767. https://doi.org/10.4236/ojs.2015.57075.

Baselga, A., 2010. Partitioning the turnover and nestedness components of beta diversity. Global Ecol. Biogeogr. 19, 134–143. https://doi.org/10.1111/j.1466-8238.2009.00490.x.

Baselga, A., Bonthoux, S., Balent, G., 2015. Temporal beta diversity of bird assemblages in agricultural landscapes: land cover change vs. stochastic processes. PLoS One 10, e0127913. https://doi.org/10.1371/journal.pone.0127913.

Bielańska-Grajner, I., GŁadysz, A., 2010. Planktonic rotifers in mining lakes in the Silesian Upland: relationship to environmental parameters. Limnologica 40, 67–72. https://doi.org/10.1016/j.limno.2009.05.003.

Blandón, A.C., Perelman, S.B., Ramírez, M., López, A., Javier, O., Robbins, C.S., 2016. Temporal bird community dynamics are strongly affected by landscape fragmentation in a Central American tropical forest region. Biodivers. Conserv. 25, 311–330. https://doi.org/10.1007/s10531-016-1049-2.

Blondel, J., 2003. Guilds or functional groups: does it matter? Oikos 100, 223–231. https://doi.org/10.1034/j.1600-0706.2003.12152.x.

Brandt, J.S., Haynes, M.A., Kuemmerle, T., Waller, D.M., Radeloff, V.C., 2013. Regime shift on the roof of the world: alpine meadows converting to shrublands in the southern Himalayas. Biol. Conserv. 158, 116–127. https://doi.org/10.1016/j.biocon.2012.07.026.

Château, P.A., Wunderlich, R.F., Wang, T.W., Lai, H.T., Chen, C.C., Chang, F.J., 2019. Mathematical modelling suggests high potential for the deployment of floating photovoltaic on fish ponds. Sci. Total Environ. 687, 654–666. https://doi.org/10.1016/j.scitotenv.2019.05.420.

Cintra, R., 2019. Waterbird community composition in relation to lake physical traits and wetland limnological conditions in the Amazon basin. Hydrobiologia 826, 43–65. https://doi.org/10.1007/s10750-018-3676-y.

Clarke, K.R., 1993. Non-parametric multivariate analyses of changes in community structure. Aust. J. Ecol. 18, 117–143. https://doi.org/10.1111/j.1442-9993.1993.tb00438.x.

Davidson, N.C., 2014. How much wetland has the world lost? Long-term and recent trends in global wetland area. Mar. Freshw. Res. 65, 934–941. https://doi.org/10.1071/MF14173.

Delany, S., 2005. Guidelines for Participants in the International Waterbird Census (IWC). Wetlands International, Wageningen.

Fandos, G., Rotics, S., Sapir, N., Fiedler, W., Kaatz, M., Wikelski, M., et al., 2020. Seasonal niche tracking of climate emerges at the population level in a migratory bird. Proc. R. Soc. B 287, 20201799. https://doi.org/10.1098/rspb.2020.1799.

Gianuca, A.T., Declerck, S.A.J., Lemmens, P., de Meester, L., 2017. Effects of dispersal and environmental heterogeneity on the replacement and nestedness components of beta-diversity. Ecology 98, 525–533. https://doi.org/10.1002/ecy.1666.

Giosa, E., Mammides, C., Zotos, S., 2018. The importance of artificial wetlands for birds: a case study from Cyprus. PLoS One 13, e0197286. https://doi.org/10.1371/journal.pone.0197286.

Henry, D.A., Cumming, G.S., 2017. Can waterbirds with different movement, dietary and foraging functional traits occupy similar ecological niches? Landsc. Ecol. 32, 265–278. https://doi.org/10.1007/s10980-016-0449-8.

Hu, B., Guo, W., 2018. Mining subsidence area status, syntheses governance model and governance recommendation. Coal Mining Technol. 23, 1–4 (in Chinese).

Hu, Z., Xiao, W., Fu, Y., 2014. Introduction to concurrent mining and reclamation for coal mines in China. In: Drebenstedt, C., Singhal, R. (Eds.), Mine Planning and Equipment Selection: Proceedings of the 22nd MPES Conference, Dresden, Germany, 14th–19th October 2013. Springer, Cham, pp. 781–789.
DOI

Jackson, M.V., Choi, C.Y., Amano, T., Estrella, S.M., Lei, W., Moores, N., et al., 2020. Navigating coasts of concrete: pervasive use of artificial habitats by shorebirds in the Asia-Pacific. Biol. Conserv. 247, 108591. https://doi.org/10.1016/j.biocon.2020.108591.

Kloskowski, J., Green, A.J., Polak, M., Bustamante, J., Krogulec, J., 2009. Complementary use of natural and artificial wetlands by waterbirds wintering in Doñana, south-west Spain. Aquat. Conserv. 19, 815–826. https://doi.org/10.1002/aqc.1027.

Kruskal, J.B., 1964. Nonmetric multidimensional scaling: a numerical method. Psychometrika 29, 115–129.

Kunte, K., 2008. Competition and species diversity: removal of dominant species increases diversity in Costa Rican butterfly communities. Oikos 117, 69–76. https://doi.org/10.1111/j.2007.0030-1299.16125.x.

Lantz, S.M., Gawlik, D.E., Cook, M.I., 2011. The effects of water depth and emergent vegetation on foraging success and habitat selection of wading birds in the Everglades. Waterbirds 34, 439–447. https://doi.org/10.1675/063.034.0406.

Lewin, I., Spyra, A., Krodkiewska, M., Strzelec, M., 2015. The importance of the mining subsidence reservoirs located along the trans-regional highway in the conservation of the biodiversity of freshwater molluscs in industrial areas (Upper Silesia, Poland). Water Air Soil Pollut. 226, 1–12. https://doi.org/10.1007/s11270-015-2445-z.

Li, C., Yang, S., Zha, D., Zhang, Y., de Boer, W.F., 2019a. Waterbird communities in subsidence wetlands created by underground coal mining in China: effects of multi-scale environmental and anthropogenic variables. Environ. Conserv. 46, 67–75. https://doi.org/10.1017/S0376892918000292.

Li, C., Zhang, Y., Zha, D., Yang, S., Huang, Z.Y., de Boer, W.F., 2019b. Assembly processes of waterbird communities across subsidence wetlands in China: a functional and phylogenetic approach. Divers. Distrib. 25, 1118–1129. https://doi.org/10.1111/ddi.12919.

Li, C., Zhao, B., Wang, Y., 2019c. Nestedness of waterbird assemblages in the subsidence wetlands recently created by underground coal mining. Curr. Zool. 65, 155–163. https://doi.org/10.1093/cz/zoy034.

Li, C., Wang, X., Zhang, B., Cui, P., Feng, G., Svenning, J.C., 2021a. Decomposing multiple β-diversity reveals non-random assembly of the waterbird communities across anthropogenic subsidence wetlands. Divers. Distrib. 28, 1694–1705. https://doi.org/10.1111/ddi.13396.

Li, X., Anderson, C.J., Wang, Y., Lei, G., 2021b. Waterbird diversity and abundance in response to variations in climate in the Liaohe Estuary, China. Ecol. Indicat. 132, 108286. https://doi.org/10.1016/j.ecolind.2021.108286.

Liu, H., Zhang, M., Su, L., Chen, X., Liu, C., Sun, A., 2021. A boundary model of terrain reconstruction in a coal-mining subsidence waterlogged area. Environ. Earth Sci. 80, 1–15. https://doi.org/10.1007/s12665-021-09508-7.

Lorenzón, R.E., Ronchi-Virgolini, A.L., Blake, J.G., 2020. Wetland dependency drives temporal turnover of bird species between high- and low-water years in floodplain wetlands of the Paraná River. Ecohydrology 13, e2179. https://doi.org/10.1002/eco.2179.

Ludwig, J.A., Reynolds, J.F., 1988. Statistical Ecology: A Primer in Methods and Computing. John Wiley and Sons, New York.

Ma, Z., Li, B., Zhao, B., Jing, K., Tang, S., Chen, J., 2004. Are artificial wetlands good alternatives to natural wetlands for waterbirds? – a case study on Chongming island, China. Biodivers. Conserv. 13, 333–350. https://doi.org/10.1023/B:BIOC.0000006502.96131.59.

Ma, Z., Cai, Y., Li, B., Chen, J., 2010. Managing wetland habitats for waterbirds: an international perspective. Wetlands 30, 15–27. https://doi.org/10.1007/s13157-009-0001-6.

MacKinnon, J., Phillipps, K., Nong, Y., Hua, L., Yao, X., Zhi, G., et al., 2022. Guide to the Birds of China. Oxford University Press, Oxford.

McCune, B., Grace, J.B., Urban, D.L., 2002. Analysis of Ecological Communities. MJM Software Design, Oregon.

Meng, L., Feng, Q., Zhou, L., Lu, P., Meng, Q., 2009. Environmental cumulative effects of coal underground mining. Proc. Earth Planet. Sci. 1, 1280–1284. https://doi.org/10.1016/j.proeps.2009.09.198.

Mundava, J., Caron, A., Gaidet, N., Couto, F.M., Couto, J.T., de Garine-Wichatitsky, M., et al., 2012. Factors influencing long-term and seasonal waterbird abundance and composition at two adjacent lakes in Zimbabwe. Ostrich 83, 69–77. https://doi.org/10.2989/00306525.2012.692726.

Ouyang, Z., Gao, L., Yang, C., 2018. Distribution, sources and influence factors of polycyclic aromatic hydrocarbon at different depths of the soil and sediments of two typical coal mining subsidence areas in Huainan, China. Ecotoxicol. Environ. Saf. 163, 255–265. https://doi.org/10.1016/j.ecoenv.2018.07.024.

Pielou, E.C., 1966. The measurement of diversity in different types of biological collections. J. Theor. Biol. 13, 131–144. https://doi.org/10.1016/0022-5193(66) 90013-0.

Quan, R., Wen, X., Yang, X., 2002. Effects of human activities on migratory waterbirds at Lashihai Lake, China. Biol. Conserv. 108, 273–279. https://doi.org/10.1016/S0006-3207(02)00125-8.

R Core Team, 2020. R: a Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna. https://www.R-project.org/. (Accessed 11 May 2020).

Rajpar, M.N., Ahmad, S., Zakaria, M., Ahmad, A., Guo, X., Nabi, G., et al., 2022. Artificial wetlands as alternative habitat for a wide range of waterbird species. Ecol. Indicat. 138, 108855. https://doi.org/10.1016/j.ecolind.2022.108855.

Sahu, A., Yadav, N., Sudhakar, K., 2016. Floating photovoltaic power plant: a review. Renew. Sustain. Energy Rev. 66, 815–824. https://doi.org/10.1016/j.rser.2016.08.051.

Si, X., Baselga, A., Ding, P., 2015. Revealing beta-diversity patterns of breeding bird and lizard communities on inundated land-bridge islands by separating the turnover and nestedness components. PLoS One 10, e0127692. https://doi.org/10.1371/journal.pone.0127692.

Soininen, J., Heino, J., Wang, J., 2017. A meta-analysis of nestedness and turnover components of beta diversity across organisms and ecosystems. Global Ecol. Biogeogr. 27, 96–109. https://doi.org/10.1111/geb.12660.

Sun, C., Wang, Y., Sun, S., Zhang, F., 2006. Analysis dynamics of phytoplankton community characteristics in Daya Bay. Acta Ecol. Sin. 26, 3948–3958 (in Chinese).

Tavares, D.C., Guadagnin, D.L., de Moura, J.F., Siciliano, S., Merico, A., 2015. Environmental and anthropogenic factors structuring waterbird habitats of tropical coastal lagoons: implications for management. Biol. Conserv. 186, 12–21. https://doi.org/10.1016/j.biocon.2015.02.027.

Tourenq, C., Bennetts, R.E., Kowalski, H., Vialet, E., Lucchesi, J.L., Kayser, Y., et al., 2001. Are ricefields a good alternative to natural marshes for waterbird communities in the Camargue, southern France? Biol. Conserv. 100, 335–343. https://doi.org/10.1016/S0006-3207(01)00037-4.

Wang, H., Shi, R., Lu, C., Jiang, Y., Deng, D., Zhang, D., 2019. Investigation of sudden faults instability induced by coal mining. Saf. Sci. 115, 256–264. https://doi.org/10.1016/j.ssci.2019.01.019.

Wang, X., Kuang, F., Tan, K., Ma, Z., 2018. Population trends, threats, and conservation recommendations for waterbirds in China. Avian Res. 9, 14. https://doi.org/10.1186/s40657-018-0106-9.

Wang, X., Li, X., Ren, X., Jackson, M.V., Fuller, R.A., Melville, D.S., et al., 2022. Effects of anthropogenic landscapes on population maintenance of waterbirds. Conserv. Biol. 36, e13808. https://doi.org/10.1111/cobi.13808.

Węsławski, J.M., Kendall, M.A., Włodarska-Kowalczuk, M., Iken, K., Kędra, M., Legezynska, J., et al., 2011. Climate change effects on Arctic fjord and coastal macrobenthic diversity – observations and predictions. Mar. Biodivers. 41, 71–85. https://doi.org/10.1007/s12526-010-0073-9.

Wu, L., Si, X., Didham, R.K., Ge, D., Ding, P., 2017. Dispersal modality determines the relative partitioning of beta diversity in spider assemblages on subtropical land-bridge islands. J. Biogeogr. 44, 2121–2131. https://doi.org/10.1111/jbi.13007.

Xu, P., Zhang, X., Zhang, F., Bempah, G., Lu, C., Lv, S., et al., 2020. Use of aquaculture ponds by globally endangered red-crowned crane (Grus japonensis) during the wintering period in the Yancheng national nature reserve, a ramsar wetland. Glob. Ecol. Conserv. 23, e01123. https://doi.org/10.1016/j.gecco.2020.e01123.

Xu, Z., Wang, Y., Chen, Y., Shen, H., 1995. An ecological study on zooplankton in maximum turbid zone of estuarine area of Changjiang (Yangtze) River. J. Fish. Sci. China 2, 39–48 (in Chinese).

Zeng, Q., Reid, J., Saintilan, N., Colloff, M.J., Lei, G., Wen, L., 2019. Contrasting diversity patterns of breeding anatidae in the Northern and Southern Hemispheres. Ecol. Evol. 9, 9990–10003. https://doi.org/10.1002/ece3.5540.

Zhang, G., Yuan, X., Wang, K., 2019. Biodiversity and temporal patterns of macrozoobenthos in a coal mining subsidence area in North China. PeerJ 7, e6456. https://doi.org/10.7717/peerj.6456.

Zhou, J., Zhou, L., Xu, W., 2020. Diversity of wintering waterbirds enhanced by restoring aquatic vegetation at Shengjin Lake, China. Sci. Total Environ. 737, 140190. https://doi.org/10.1016/j.scitotenv.2020.140190.

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Received: 14 March 2023
Revised: 15 May 2023
Accepted: 21 May 2023
Published: 01 June 2023
Issue date: September 2023

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