Abstract
Wetland vegetation plays a crucial role in wetland conservation policy formulation and global climate change research. This study analyzed remotely sensed images of West Dongting Lake (DTL) Wetland from 1994 to 2020. This wetland is one of the most important wetlands in the world. At the pixel scale, we applied the histogram comparison approach, the range variability analysis (RVA) method, and the structural equation model (SEM) to quantify spatial changes in the hydrological conditions of wetland lakes and the ecological effects of environmental factors (precipitation, temperature, nutrients, water coverage) on vegetation. We propose a climate (C) — hydrological status (S) — vegetation response (R) (CSR) framework to elucidate the propagation relationships between climate, hydrology, and wetland vegetation conditions. The study found that the hydrological degradation promotes the succession of vegetation into the lake, and the distribution is concentrated in the northern Yangtze River inflow area. And the extent of hydrological changes in the West DTL region reached 34.5% during the flood period. In addition, the post-dam period showed a high degree of hydro-ecological failure, accounting for 65% of the total. Within the wetland area, there was a significant negative correlation between water coverage nutrient levels and bare vegetation within the lake area. Nutrient levels were also significantly negatively correlated with wetland vegetation conditions. Rainfall and temperature influence wetland vegetation by affecting the condition of the water body. This research provides valuable insights into managing wetland water resources and ecological restoration under the influence of climate change and human activities and provides a basis for decision-making.
Similar content being viewed by others
Data availability
Data will be made available on request.
References
Ban K, Liu J, Meng B, Sun B (2019) The effects of hydrological conditions on eco-exergy of food webs in Momoge National Nature Reserve, China. Wetlands 39(3):601–617. https://doi.org/10.1007/s13157-018-1111-9
Banerjee BP, Raval S, Timms W (2016) Evaluation of rainfall and wetland water area variability at Thirlmere Lakes using Landsat time-series data. Int J Environ Sci Technol 13(7):1781–1792. https://doi.org/10.1007/s13762-016-1018-z
Bertassello LE, Jawitz JW, Aubeneau AF, Botter G, Rao PSC (2019) Stochastic dynamics of wetlandscapes: ecohydrological implications of shifts in hydro-climatic forcing and landscape configuration. Sci Total Environ 694:133765. https://doi.org/10.1016/j.scitotenv.2019.133765
Chaomin O, Jingbao L, Yongqiang Z, Weiyan C, Yan Y, Zhonghua Z (2014) Evolution characters of water exchange abilities between Dongting Lake and Yangtze River. J Geogr Sci 24(4):731–745. https://doi.org/10.1007/s11442-014-1116-0
Chen L, Michishita R, Xu B (2014) Abrupt spatiotemporal land and water changes and their potential drivers in Poyang Lake, 2000–2012. ISPRS J Photogramm Remote Sens 98:85–93. https://doi.org/10.1016/j.isprsjprs.2014.09.014
Cheng FY, Basu NB (2017) Biogeochemical hotspots: role of small water bodies in landscape nutrient processing. Water Resour Res 53(6):5038–5056. https://doi.org/10.1002/2016WR020102
Clarke RT (2013) How should trends in hydrological extremes be estimated? Water Resour Res 49(10):6756–6764. https://doi.org/10.1002/wrcr.20485
Coops H, Beklioglu M, Crisman TL (2003) The role of water-level fluctuations in shallow lake ecosystems – workshop conclusions. Hydrobiologia 506(1):23–27. https://doi.org/10.1023/B:HYDR.0000008595.14393.77
Daniel J, Rooney RC (2021) Wetland hydroperiod predicts community structure, but not the magnitude of cross-community congruence. Sci Rep 11(1):1. https://doi.org/10.1038/s41598-020-80027-4
Davidson NC (2014) How much wetland has the world lost? Long-term and recent trends in global wetland area. Mar Freshw Res 65(10):934. https://doi.org/10.1071/MF14173
Deng F, Wang X, Cai X, Li E, Jiang L, Li H, Yan R (2014) Analysis of the relationship between inundation frequency and wetland vegetation in Dongting Lake using remote sensing data. Ecohydrology 7(2):717–726. https://doi.org/10.1002/eco.1393
Ding Y, Xu J, Wang X, Cai H, Zhou Z, Sun Y, Shi H (2021) Propagation of meteorological to hydrological drought for different climate regions in China. J Environ Manag 283:111980. https://doi.org/10.1016/j.jenvman.2021.111980
Donnelly JP, Naugle DE, Collins DP, Dugger BD, Allred BW, Tack JD, Dreitz VJ (2019) Synchronizing conservation to seasonal wetland hydrology and waterbird migration in semi-arid landscapes. Ecosphere 10(6):e02758. https://doi.org/10.1002/ecs2.2758
Emi Fergus C, Soranno PA, Cheruvelil KS, Bremigan MT (2011) Multiscale landscape and wetland drivers of lake total phosphorus and water color. Limnol Oceanogr 56(6):2127–2146. https://doi.org/10.4319/lo.2011.56.6.2127
Fink G, Burke S, Simis SGH, Kangur K, Kutser T, Mulligan M (2020) Management options to improve water quality in Lake Peipsi: insights from large scale models and remote sensing. Water Resour Manag 34(7):2241–2254. https://doi.org/10.1007/s11269-018-2156-5
Gao B (1996) NDWI—a normalized difference water index for remote sensing of vegetation liquid water from space. Remote Sens Environ 58(3):257–266. https://doi.org/10.1016/S0034-4257(96)00067-3
Gell PA, Finlayson CM, Davidson NC (2016) Understanding change in the ecological character of Ramsar wetlands: perspectives from a deeper time - synthesis. Mar Freshw Res 67(6):869–879. https://doi.org/10.1071/MF16075
Geng M, Wang K, Yang N, Li F, Zou Y, Chen X, Deng Z, Xie Y (2021) Evaluation and variation trends analysis of water quality in response to water regime changes in a typical river-connected lake (Dongting Lake), China. Environ Pollut 268:115761. https://doi.org/10.1016/j.envpol.2020.115761
Guo W, Yang H, Zhou H, Wang H (2023) Synergistic changes in river-lake runoff systems in the Yangtze River basin and their driving force differences. Ecol Inform 75:102069. https://doi.org/10.1016/j.ecoinf.2023.102069
Guo Z, Liu W, Zhang M, Zhang Y, Li X (2020) Transforming the wetland conservation system in China. Mar Freshw Res 71(11):1469–1477. https://doi.org/10.1071/MF19383
Herlihy AT, Kentula ME, Magee TK, Lomnicky GA, Nahlik AM, Serenbetz G (2019) Striving for consistency in the National Wetland Condition Assessment: Developing a reference condition approach for assessing wetlands at a continental scale. Environ Monit Assess 191(1):327. https://doi.org/10.1007/s10661-019-7325-3
Hu C (2009) A novel ocean color index to detect floating algae in the global oceans. Remote Sens Environ 113(10):2118–2129. https://doi.org/10.1016/j.rse.2009.05.012
Huang F, Li F, Zhang N, Chen Q, Qian B, Guo L, Xia Z (2017) A histogram comparison approach for assessing hydrologic regime alteration: assessing hydrologic regime alteration. River Res Appl 33(5):809–822. https://doi.org/10.1002/rra.3130
Huang L, Luo M, Jiang X, Zhang P, Wang H, Hong F, He N, Guo W, Niu Y (2023) Quantifying the potential vegetation distribution under climate change: the case of Cryptomeria fortunei in Dongting Lake Watershed, China. Forests 14(3):614. https://doi.org/10.3390/f14030614
Lai X, Liang Q, Jiang J, Huang Q (2014) Impoundment effects of the Three-Gorges-Dam on flow regimes in two China’s largest freshwater lakes. Water Resour Manag 28(14):5111–5124. https://doi.org/10.1007/s11269-014-0797-6
Lawniczak AE, Zbierska J, Choiński A, Szczepaniak W (2010) Response of emergent macrophytes to hydrological changes in a shallow lake, with special reference to nutrient cycling. Hydrobiologia 656(1):243–254. https://doi.org/10.1007/s10750-010-0436-z
Lefcheck JS (2016) PIECEWISESEM: Piecewise structural equation modelling in R for ecology, evolution, and systematics. Methods Ecol Evol 7(5):573–579. https://doi.org/10.1111/2041-210X.12512
Lei T, Middleton B (2021) A U.S.-China EcoPartnership study of disturbed wetland vegetation in West Dongting Lake, China. Environ Prog Sustain Energy 40(5):e13673. https://doi.org/10.1002/ep.13673
Li H, Zhang G, Sun G (2012) Simulation and evaluation of the water purification function of Zhalong Wetland based on a combined water quantity-quality model. Sci China Technol Sci 55(7):1973–1981. https://doi.org/10.1007/s11431-012-4887-5
Li Z, Sun W, Chen H, Xue B, Yu J, Tian Z (2021) Interannual and seasonal variations of hydrological connectivity in a large shallow wetland of North China estimated from Landsat 8 images. Remote Sens 13(6):1214. https://doi.org/10.3390/rs13061214
Liu J, Engel BA, Dai L, Wang Y, Wu Y, Yan G, Cong L, Zhai J, Zhang Z, Zhang M (2019) Capturing hydrological connectivity structure of wetlands with indices based on graph theory: a case study in Yellow River Delta. J Clean Prod 239:118059. https://doi.org/10.1016/j.jclepro.2019.118059
Liu J, Liang J, Yuan X, Zeng G, Yuan Y, Wu H, Huang X, Liu J, Hua S, Li F, Li X (2015) An integrated model for assessing heavy metal exposure risk to migratory birds in wetland ecosystem: a case study in Dongting Lake Wetland, China. Chemosphere 135:14–19. https://doi.org/10.1016/j.chemosphere.2015.03.053
Liu Q, Liu J, Liu H, Liang L, Cai Y, Wang X, Li C (2020) Vegetation dynamics under water-level fluctuations: implications for wetland restoration. J Hydrol 581:124418. https://doi.org/10.1016/j.jhydrol.2019.124418
Liu W, Cui L, Guo Z, Wang D, Zhang M (2023) Wetland ecosystem health improvement from ecological conservation and restoration offset the decline from socio-economic development. Land Degrad Dev 34(1):283–295. https://doi.org/10.1002/ldr.4459
Mosanghini D, Oriolo G, Boscutti F (2023) Different ways to success: plant community trajectories over time and a soil moisture gradient in restored wetlands. J Appl Ecol 60(1):29–40. https://doi.org/10.1111/1365-2664.14308
Musasa T, Marambanyika T (2020) Threats to sustainable utilization of wetland resources in ZIMBABWE: a review. Wetlands Ecol Manag 28(4):681–696. https://doi.org/10.1007/s11273-020-09732-1
Nilsson JE, Liess A, Ehde PM, Weisner SEB (2020) Mature wetland ecosystems remove nitrogen equally well regardless of initial planting. Sci Total Environ 716:137002. https://doi.org/10.1016/j.scitotenv.2020.137002
Okruszko T, Duel H, Acreman M, Grygoruk M, Flörke M, Schneider C (2011) Broad-scale ecosystem services of European wetlands—overview of the current situation and future perspectives under different climate and water management scenarios. Hydrol Sci J 56(8):1501–1517. https://doi.org/10.1080/02626667.2011.631188
Pal S, Chowdhury P, Singha P, Let M (2023) Role of tie channel on wetland hydrological security and sustenance. J Clean Prod 418:138162. https://doi.org/10.1016/j.jclepro.2023.138162
Pal S, Sarda R (2021) Measuring the degree of hydrological variability of riparian wetland using hydrological attributes integration (HAI) histogram comparison approach (HCA) and range of variability approach (RVA). Ecol Indic 120:106966. https://doi.org/10.1016/j.ecolind.2020.106966
Peng D, Chen M, Su X, Liu C, Zhang Z, Middleton BA, Lei T (2023) Mercury accumulation potential of aquatic plant species in West Dongting Lake, China. Environ Pollut 324:121313. https://doi.org/10.1016/j.envpol.2023.121313
Richter B, Baumgartner J, Wigington R, Braun D (1997) How much water does a river need? Freshw Biol 37(1):231–249. https://doi.org/10.1046/j.1365-2427.1997.00153.x
Rosseel Y (2012) lavaan: an R package for structural equation modeling. J Stat Softw 48:1–36. https://doi.org/10.18637/jss.v048.i02
Sarkar B, Islam A, Datta D (2023) Characterising topophilic behaviour in the wake of river decay and pollution through structural equation modelling. Environ Dev Sustain 25(12):15043–15074. https://doi.org/10.1007/s10668-022-02701-z
Semeniuk CA, Semeniuk V (2019) Geoheritage values of consanguineous wetland suites on the Swan Coastal Plain, Western Australia. Aust J Earth Sci 66(6):837–853. https://doi.org/10.1080/08120099.2019.1566177
Singh KV, Setia R, Sahoo S, Prasad A, Pateriya B (2015) Evaluation of NDWI and MNDWI for assessment of waterlogging by integrating digital elevation model and groundwater level. Geocarto Int 30(6):650–661. https://doi.org/10.1080/10106049.2014.965757
Sun G, Lei G, Qu Y, Zhang C, He K (2020) The operation of the Three Gorges Dam alters wetlands in the middle and lower reaches of the Yangtze River. Front Environ Sci 8:576307. https://doi.org/10.3389/fenvs.2020.576307
Talukdar S, Pal S (2019) Effects of damming on the hydrological regime of Punarbhaba river basin wetlands. Ecol Eng 135:61–74. https://doi.org/10.1016/j.ecoleng.2019.05.014
Wang H, Huang L, Guo W, Zhu Y, Yang H, Jiao X, Zhou H (2022a) Evaluation of ecohydrological regime and its driving forces in the Dongting Lake, China. J Hydrol: Reg Stud 41:101067. https://doi.org/10.1016/j.ejrh.2022.101067
Wang H, Li Y, Zeng S, Cai X, Bi S, Liu H, Mu M, Dong X, Li J, Xu J, Lyu H, Zhu Y, Zhang Y (2022b) Recognition of aquatic vegetation above water using shortwave infrared baseline and phenological features. Ecol Indic 136:108607. https://doi.org/10.1016/j.ecolind.2022.108607
Wang S, Meng W, Jin X, Zheng B, Zhang L, Xi H (2015) Ecological security problems of the major key lakes in China. Environ Earth Sci 74(5):3825–3837. https://doi.org/10.1007/s12665-015-4191-3
Yang Q, Hu P, Wang J, Zeng Q, Yang Z, Liu H, Dong Y (2021b) The stereoscopic spatial connectivity of wetland ecosystems: evaluation method and regulation measures. Hydrol Process 35(5):e14074. https://doi.org/10.1002/hyp.14074
Yang S, Hao H, Liu B, Wang Y, Yang Y, Liang R, Li K (2021a) Influence of socioeconomic development on river water quality: a case study of two river basins in China. Environ Sci Pollut Res 28(38):53857–53871. https://doi.org/10.1007/s11356-021-14338-y
Yu X, Hawley-Howard J, Pitt AL, Wang J-J, Baldwin RF, Chow AT (2015) Water quality of small seasonal wetlands in the Piedmont ecoregion, South Carolina, USA: effects of land use and hydrological connectivity. Water Res 73:98–108. https://doi.org/10.1016/j.watres.2015.01.007
Zhan L, Chen J, Zhang S, Huang D, Li L (2015) Relationship between Dongting Lake and surrounding rivers under the operation of the Three Gorges Reservoir, China. Isot Environ Health Stud 51(2):255–270. https://doi.org/10.1080/10256016.2015.1020306
Zhang L, Yin J, Jiang Y, Wang H (2012) Relationship between the hydrological conditions and the distribution of vegetation communities within the Poyang Lake National Nature Reserve, China. Ecol Inform 11:65–75. https://doi.org/10.1016/j.ecoinf.2012.05.006
Zheng L, Xu J, Wang D, Xu G, Tan Z, Xu L, Wang X (2021) Acceleration of vegetation dynamics in hydrologically connected wetlands caused by dam operation. Hydrol Process 35(2):e14026. https://doi.org/10.1002/hyp.14026
Zhou Y, Zhao L, Li Z (2023) Wetland ecological restoration and payment for ecosystem service standard: a case study of Ganjiangyuan National Wetland Park. Wetlands 43(3):22. https://doi.org/10.1007/s13157-023-01657-8
Zhu Y, Wang H, Guo W (2021) The impacts of water level fluctuations of East Dongting Lake on habitat suitability of migratory birds. Ecol Indic 132:108277. https://doi.org/10.1016/j.ecolind.2021.108277
Acknowledgements
The authors thank their brothers at the North China University of Water Resources and Electric Power for their comments and help with this study.
Funding
This study was supported by Basic Research Project of Key Scientific Research Projects of the Colleges and Universities of Henan Province (23ZX012), and the National Natural Science Foundation of China (Grant No. 51779094).
Author information
Authors and Affiliations
Contributions
Xiangyu Bai conceived the study and wrote the first draft, the data collection and analysis was done by Xiangyu Bai and Weiqi Yuan, the methodology was analyzed with the help of Lintong Huang and Fengtian Hong, literature Wenxian Guo and Hongxiang Wang supervised the paper, and all authors provided comments and assistance on the first few versions of the manuscript. All authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Ethical approval
The scope of the work does not require any approval of the ethics committee. The ethical approval is not applicable for the present work.
Consent to participate
The scope of the work does not require participation of any candidate. The consent to participate does not apply for the present work.
Consent for publication
Consent of all the authors was taken before the communication of the manuscript in its present form.
Competing interests
The authors declare no competing interests.
Additional information
Responsible Editor: Alexandros Stefanakis
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Wang, H., Bai, X., Huang, L. et al. The spatial variation of hydrological conditions and their impact on wetland vegetation in connected floodplain wetlands: Dongting Lake Basin. Environ Sci Pollut Res 31, 8483–8498 (2024). https://doi.org/10.1007/s11356-023-31673-4
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11356-023-31673-4