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Effect of Hydrological Connectivity on Soil Carbon Storage in the Yellow River Delta Wetlands of China

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Abstract

Hydrological connectivity has significant effects on the functions of estuarine wetland ecosystem. This study aimed to examine the dynamics of hydrological connectivity and its impact on soil carbon pool in the Yellow River Delta, China. We calculated the hydrological connectivity based on the hydraulic resistance and graph theory, and measured soil total carbon and organic carbon under four different hydrological connectivity gradients (I 0–0.03, II 0.03–0.06, III 0.06–0.12, IV 0.12–0.39). The results showed that hydrological connectivity increased in the north shore of the Yellow River and the south tidal flat from 2007 to 2018, which concentrated in the mainstream of the Yellow River and the tidal creek. High hydrological connectivity was maintained in the wetland restoration area. The soil total carbon storage and organic carbon storage significantly increased with increasing hydrological connectivity from I to I gradient and decreased in IV gradient. The highest soil total carbon storage of 0–30 cm depth was 5172.34 g/m2, and organic carbon storage 2764.31 g/m2 in III gradient. The hydrological connectivity changed with temporal and spatial change during 2007–2018 and had a noticeable impact on soil carbon storage in the Yellow River Delta. The results indicated that appropriate hydrological connectivity, i.e. 0.08, could effectively promote soil carbon storage.

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References

  • Ala-aho P, Soulsby C, Pokrovsky O S et al., 2018. Using stable isotopes to assess surface water source dynamics and hydrological connectivity in a high-latitude wetland and permafrost influenced landscape. Journal of Hydrology, 556: 279–293. doi: https://doi.org/10.1016/j.jhydrol.2017.11.024

    Article  Google Scholar 

  • Bai J H, Wang J J, Yan D H et al., 2012. Spatial and temporal distributions of soil organic carbon and total nitrogen in two marsh wetlands with different flooding frequencies of the Yellow River Delta, China. Clean-Soil Air Water, 40(10): 1137–1144. doi: https://doi.org/10.1002/clen.201200059

    Article  Google Scholar 

  • Bai J H, Zhang G L, Zhao Q Q et al., 2016. Depth-distribution patterns and control of soil organic carbon in coastal salt marshes with different plant covers. Scientific Reports, 6(1): 34835. doi: https://doi.org/10.1038/srep34835

    Article  Google Scholar 

  • Bracken L J, Wainwright J, Ali G A et al., 2013. Concepts of hydrological connectivity: research approaches, pathways and future agendas. Earth-Science Reviews, 119: 17–34. doi: https://doi.org/10.1016/j.earscirev.2013.02.001

    Article  Google Scholar 

  • Cao Lei, Song Jinming, Li Xuegang et al., 2013. Research progresses in carbon budget and carbon cycle of the coastal salt marshes in China. Acta Ecologica Sinica, 33(17): 5141–5152. (in Chinese)

    Article  Google Scholar 

  • Cao Zihao, Zhao Qinghe, Zuo Xianyu et al., 2018. Optimizing vegetation pattern for the riparian buffer zone along the lower yellow river based on slope hydrological connectivity. Chinese Journal of Applied Ecology, 29(3): 739–747. (in Chinese)

    Google Scholar 

  • Chen Xing, Xu Wei, Li Kunpeng et al., 2016. Evaluation of plain river network connectivity based on graph theory: a case study of Yanjingwei in Changshu city. Water Resources Protection, 32(2): 26–29, 34. (in Chinese)

    Google Scholar 

  • Connor-Streich G, Henshaw A J, Brasington J et al., 2018. Let’s get connected: a new graph theory-based approach and tool-box for understanding braided river morphodynamics. WIREs Water, 5(5): e1296. doi: https://doi.org/10.1002/wat2.1296

    Article  Google Scholar 

  • Conte P, Ferro V, 2020. Standardizing the use of fast-field cycling NMR relaxometry for measuring hydrological connectivity inside the soil. Magnetic Resonance in Chemistry, 58(1): 41–50. doi: https://doi.org/10.1002/mrc.4907

    Article  Google Scholar 

  • Covino T, McGlynn B, McNamara R, 2012. Land use/land cover and scale influences on in-stream nitrogen uptake kinetics. Journal of Geophysical Research, 117(G2): G02006. doi: https://doi.org/10.1029/2011JG001874

    Article  Google Scholar 

  • Covino T, 2017. Hydrologic connectivity as a framework for understanding biogeochemical flux through watersheds and along fluvial networks. Geomorphology, 277: 133–144. doi: https://doi.org/10.1016/j.geomorph.2016.09.030

    Article  Google Scholar 

  • Cui Baoshan, Cai Yanzi, Xie Tian et al., 2016a. Ecological effects of wetland hydrological connectivity: problems and prospects. Journal of Beijing Normal University (Natural Science), 52(6): 738–746. (in Chinese)

    Google Scholar 

  • Cui Lijuan, Ma Qiongfang, Song Hongtao et al., 2012. Estimation methods of wetland ecosystem carbon storage: a review. Chinese Journal of Ecology, 31(10): 2673–2680. (in Chinese)

    Google Scholar 

  • Cui Zhen, Shen Hong, Zhang Guangxin, 2016b. Changes of landscape patterns and hydrological connectivity of wetlands in Momoge National Natural Wetland Reserve and their driving factors for three periods. Wetland Science, 14(6): 866–873. (in Chinese)

    Google Scholar 

  • Deng X J, Xu Y P, Han L F, 2018. Impacts of human activities on the structural and functional connectivity of a river network in the Taihu Plain. Land Degradation & Development, 29(8): 2575–2588. doi: https://doi.org/10.1002/ldr.3008

    Article  Google Scholar 

  • Dou P, Cui B S, Xie T et al., 2016. Macrobenthos diversity response to hydrological connectivity gradient. Wetlands, 36(1): 45–55. doi: https://doi.org/10.1007/s13157-014-0580-8

    Article  Google Scholar 

  • Edmonds D A, Paola C, Hoyal D C J D et al., 2011. Quantitative metrics that describe river deltas and their channel networks. Journal of Geophysical Research, 116(F4): F04022. doi: https://doi.org/10.1029/2010JF001955

    Article  Google Scholar 

  • Gao Changjun, Gao Xiaocui, Jia Peng, 2017. Summary comments on hydrologic connectivity. Chinese Journal of Applied & Environmental Biology, 23(3): 586–594. (in Chinese)

    Google Scholar 

  • Gao M S, Liu S, Zhao G M et al., 2014. Vulnerability of eco-hydrological environment in the Yellow River Delta Wetland. Journal of Coastal Research, 30(2): 344–350. doi: https://doi.org/10.2112/JCOASTRES-D-13-00016.1

    Article  Google Scholar 

  • Guo Yutong, Cui Yuan, Wang Chen et al., 2019. Distribution characteristics of carbon and nitrogen stable isotopes in wetland components and their relationship with wetland hydrological connectivity. Journal of Nature Resources, 34(12): 2554–2568. (in Chinese)

    Article  Google Scholar 

  • Harvey J, Gomez-Velez J, Schmadel N et al., 2019. How hydrologic connectivity regulates water quality in river corridors. Journal of the American Water Resources Association, 55(2): 369–381. doi: https://doi.org/10.1111/1752-1688.12691

    Article  Google Scholar 

  • Herrera M, Abraham E, Stoianov I, 2016. A graph-theoretic framework for assessing the resilience of sectorised water distribution networks. Water Resources Management, 30(5): 1685–1699. doi: https://doi.org/10.1007/s11269-016-1245-6

    Article  Google Scholar 

  • Hiatt M, Passalacqua P, 2015. Hydrological connectivity in river deltas: the first-order importance of channel-island exchange. Water Resources Research, 51(4): 2264–2282. doi: https://doi.org/10.1002/2014WR016149

    Article  Google Scholar 

  • Higley M C, Conroy J L, 2019. The hydrological response of surface water to recent climate variability: a remote sensing case study from the central tropical Pacific. Hydrological Processes, 33(16): 2227–2239. doi: https://doi.org/10.1002/hyp.13465

    Article  Google Scholar 

  • Jia Jia, Bai Junhong, Gao Zhaoqin et al., 2015. Carbon and nitrogen contents and storages in the soils of intertidal salt marshes in the Yellow River Delta. Wetland Science, 13(6): 714–721. (in Chinese)

    Google Scholar 

  • Kaller M D, Keim R F, Edwards B L et al., 2015. Aquatic vegetation mediates the relationship between hydrologic connectivity and water quality in a managed floodplain. Hydoobiologia, 760(1): 29–41. doi: https://doi.org/10.1007/s10750-015-2300-7

    Article  Google Scholar 

  • Karim F, Kinsey-Henderson A, Wallace J et al., 2014. Modelling hydrological connectivity of tropical floodplain wetlands via a combined natural and artificial stream network. Hydrological Processes, 28(23): 5696–5710. doi: https://doi.org/10.1002/hyp.10065

    Article  Google Scholar 

  • Li Yuan, Zhang Haibo, Chen Xiaobing et al., 2014. Gradient distributions of nitrogen and organic carbon in the soils from inland to tidal flat in the Yellow River Delta. Geochimica, 43(4): 338–345. (in Chinese)

    Google Scholar 

  • Liu J K, Engel B A, Wang Y et al., 2019. Runoff response to soil moisture and micro-topographic structure on the plot scale. Scientific Reports, 9(1): 2532. doi: https://doi.org/10.1038/s41598-019-39409-6

    Article  Google Scholar 

  • Liu J K, Engel B A, Wang Y et al., 2020. Multi-scale analysis of hydrological connectivity and plant response in the Yellow River Delta. Science of the Total Environment, 702: 134889. doi: https://doi.org/10.1016/j.scitotenv.2019.134889

    Article  Google Scholar 

  • Lu Xianguo, Jiang Ming, 2004. Progress and prospect of wetland research in China. Journal of Geographical Sciences, 14(1): 45–51. doi: https://doi.org/10.1007/bf02841106

    Article  Google Scholar 

  • Lucchese M, Waddington J M, Poulin M et al., 2010. Organic matter accumulation in a restored peatland: evaluating restoration success. Ecological Engineering, 36(4): 482–488. doi: https://doi.org/10.1016/j.ecoleng.2009.11.017

    Article  Google Scholar 

  • Luo Xianxiang, Yan Qin, Yang Jianqiang et al., 2010. Study on seasonal variation characteristics and transformation process of soil nitrogen in Yellow River estuary wetland. Journal of Soil and Water Conservation, 24(6): 88–93. (in Chinese)

    Google Scholar 

  • Means M M, Ahn C, Korol A R et al., 2016. Carbon storage potential by four macrophytes as affected by planting diversity in a created wetland. Journal of Environmental Management, 165: 133–139. doi: https://doi.org/10.1016/j.jenvman.2015.09.016

    Article  Google Scholar 

  • Myers J A, Harms K E, 2009. Seed arrival, ecological filters, and plant species richness: a meta-analysis. Ecology Letters, 12(11): 1250–1260. doi: https://doi.org/10.1111/j.1461-0248.2009.01373.x

    Article  Google Scholar 

  • Osburn C L, Anderson N J, Stedmon C A et al., 2017. Shifts in the source and composition of dissolved organic matter in Southwest Greenland lakes along a regional hydro-climatic gradient. Journal of Geophysical Research, 122(12): 3431–3445. doi: https://doi.org/10.1002/2017JG003999

    Article  Google Scholar 

  • Passalacqua P, Lanzoni S, Paola C et al., 2013. Geomorphic signatures of deltaic processes and vegetation: the Ganges-Brahmaputra-Jamuna case study. Journal of Geophysical Research, 118(3): 1838–1849. doi: https://doi.org/10.1002/jgrf.20128

    Article  Google Scholar 

  • Reid M A, Reid M C, Thoms M C, 2016. Ecological significance of hydrological connectivity for wetland plant communities on a dryland floodplain river, Macintyre River, Australia. Aquatic Science, 78(1): 139–158. doi: https://doi.org/10.1007/s00027-015-0414-7

    Article  Google Scholar 

  • Schillaci C, Acutis M, Lombardo L et al., 2017. Spatio-temporal topsoil organic carbon mapping of a semi-arid Mediterranean region: the role of land use, soil texture, topographic indices and the influence of remote sensing data to modelling. Science of the Total Environment, 601–602: 821–832. doi: https://doi.org/10.1016/j.scitotenv.2017.05.239

    Article  Google Scholar 

  • Schmidt J C, Wilcock P R, 2008. Metrics for assessing the downstream effects of dams. Water Resources Research, 44(4): W04404. doi: https://doi.org/10.1029/2006wr005092

    Article  Google Scholar 

  • Senar O E, Webster K L, Creed I F, 2018. Catchment-scale shifts in the magnitude and partitioning of carbon export in response to changing hydrologic connectivity in a northern hardwood forest. Journal of Geophysical Research, 123(8): 2337–2352. doi: https://doi.org/10.1029/2018JG004468

    Article  Google Scholar 

  • Singh M, Sinha R, 2019. Evaluating dynamic hydrological connectivity of a floodplain wetland in North Bihar, India using geostatistical methods. Science of the Total Environment, 651: 2473–2488. doi: https://doi.org/10.1016/j.scitotenv.2018.10.139

    Article  Google Scholar 

  • Song Hongli, Liu Xingtu, Wang Lizhi et al., 2018. Spatial and temporal distribution of soil organic carbon in vegetation communities of the Yellow River Delta under different disturbance levels. Journal of Soil and Water Conservation, 32(1): 190–196, 203. (in Chinese)

    Google Scholar 

  • Suir G M, Sasser C E, DeLaune R D et al., 2019. Comparing carbon accumulation in restored and natural wetland soils of coastal Louisiana. International Journal of Sediment Research, 34(6): 600–607. doi: https://doi.org/10.1016/j.ijsrc.2019.05.001

    Article  Google Scholar 

  • Sun Jingkuan, Chi Yuan, Fu Zhanyong et al., 2020. Spatiotemporal variation of plant diversity under a unique estuarine wetland gradient system in the Yellow River Delta, China. Chinese Geographical Science, 30(2): 217–232. doi: https://doi.org/10.1007/s11769-020-1109-0

    Article  Google Scholar 

  • Tejedor A, Longjas A, Zaliapin I et al., 2015. Delta channel networks: 1. A graph-theoretic approach for studying connectivity and steady state transport on deltaic surfaces. Water Resources Research, 51(6): 3998–4018. doi: https://doi.org/10.1002/2014WR016577

    Article  Google Scholar 

  • Thorslund J, Cohen M J, Jawitz J W et al., 2018. Solute evidence for hydrological connectivity of geographically isolated wetlands. Land Degradation & Development, 29(11): 3954–3962. doi: https://doi.org/10.1002/ldr.3145

    Article  Google Scholar 

  • Wang H, Wang R Q, Yu Y et al., 2011. Soil organic carbon of degraded wetlands treated with freshwater in the Yellow River Delta, China. Journal of Environmental Management, 92(10): 2628–2633. doi: https://doi.org/10.1016/j.jenvman.2011.05.030

    Article  Google Scholar 

  • Wang Jianbu, Zhang Jie, Ma Yi et al., 2019a. Estimation of vegetation carbon storage in the Yellow River estuary wetland based on GF-1 WFV satellite image. Advances in Marine Science, 37(1): 75–83. (in Chinese)

    Google Scholar 

  • Wang Qian, Cui Yuan, Wang Chen et al., 2019b. Screening of priority restoration nodes in wetlands in Yellow River Delta based on plankton community and hydrological connectivity. Wetland Science, 17(3): 324–334. (in Chinese)

    Google Scholar 

  • Winemiller K O, McIntyre P B, Castello L, 2016. Balancing hydropower and biodiversity in the Amazon, Congo, and Mekong. Science, 351(6269): 128–129. doi: https://doi.org/10.1126/science.aac7082

    Article  Google Scholar 

  • Xia Jihong, Chen Yongming, Zhou Ziye et al., 2017. Review of mechanism and quantifying methods of river system connectivity. Advances in Water Science, 28(5): 780–787. (in Chinese)

    Google Scholar 

  • Xia Zhijian, Bai Junhong, Jia Jia et al., 2015. Vertical distributions of contents and storage of carbon and nitrogen in soils in Phragmite australis salt marshes in the Yellow River Delta. Wetland Science, 13(6): 702–707. (in Chinese)

    Google Scholar 

  • Xu Guanglai, Xu Youpeng, Wang Liuyan, 2012. Evaluation of river network connectivity based on hydraulic resistance and graph theory. Advances in Water Science, 23(6): 776–781. (in Chinese)

    Google Scholar 

  • Xu Li, Yu Guirui, He Nianpeng, 2019. Increased soil organic carbon storage in Chinese terrestrial ecosystems from the 1980s to the 2010s. Journal of Geographical Sciences, 29(1): 49–66. doi: https://doi.org/10.1007/s11442-019-1583-4

    Article  Google Scholar 

  • Yin Hongzhen, 2011. Disentangling the Sources and Distribution of Sedimentary Organic Matters in the Yellow River Estuarine Wetlands Using Multi-tracer Approach. Qingdao: Ocean University of China. (in Chinese)

    Google Scholar 

  • Yu J B, Zhan C, Li Y Z et al., 2016. Distribution of carbon, nitrogen and phosphorus in coastal wetland soil related land use in the Modern Yellow River Delta. Scientific Reports, 6(1): 37940. doi: https://doi.org/10.1038/srep37940

    Article  Google Scholar 

  • Yu Junbao, Chen Xiaobing, Sun Zhigao et al., 2010. The spatial distribution characteristics of soil nutrients in new-born coastal wetland in the Yellow River Delta. Acta Scientiae Circumstantiae, 30(4): 855–861. (in Chinese)

    Google Scholar 

  • Yu Junbao, Wang Yongli, Dong Hongfang et al., 2013. Estimation of soil organic carbon storage in coastal wetlands of modern Yellow River Delta based on landscape pattern. Wetland Science, 11(1): 1–6. (in Chinese)

    Google Scholar 

  • Yu Zibo, Zhuang Tao, Bai Junhong et al., 2019. Seasonal dynamics of soil phosphorus contents and stocks in Suaeda salsa wetlands in the intertidal zone of the Yellow River Delta, China. Journal of Agro-Environment Science, 38(3): 633–640. (in Chinese)

    Google Scholar 

  • Zhang Han, Ouyang Zhencheng, Zhao Xiaomin et al., 2018b. Effects of different land use types on soil organic carbon, nitrogen and ratio of carbon to nitrogen in the plow layer of farmland soil in Jiangxi Province. Acta Scientiae Circumstantiae, 38(6): 2486–2497. (in Chinese)

    Google Scholar 

  • Zhang Mengmeng, Liu Mengyu, Chang Qingrui et al., 2018a. Spatial distribution of organic carbon in topsoil of the loess tableland in Shaanxi Province during 1985–2015. Journal of Natural Resources, 33(11): 2032–2045. (in Chinese)

    Google Scholar 

  • Zhang Z S, Craft C B, Xue Z S et al., 2016b. Regulating effects of climate, net primary productivity, and nitrogen on carbon sequestration rates in temperate wetlands, Northeast China. Ecological Indicators, 70: 114–124. doi: https://doi.org/10.1016/j.ecolind.2016.05.041

    Article  Google Scholar 

  • Zhang Zhongsheng, Lü Xianguo, Xue Zhenshan et al., 2016a. Is there a redfield-type C:N:P ratio in Chinese wetland soils. Acta Pedologica Sinica, 53(5): 1160–1169. (in Chinese)

    Google Scholar 

  • Zhang Zhongsheng, Yu Xiaojuan, Song Xiaolin et al., 2019. Impacts of hydrological connectivity on key ecological processes and functions in wetlands: a general review. Wetland Science, 17(1): 1–8. (in Chinese)

    Google Scholar 

  • Zhao Q Q, Bai J H, Liu Q et al., 2016. Spatial and seasonal variations of soil carbon and nitrogen content and stock in a tidal salt marsh with Tamarix chinensis, China. Wellands, 36(S1): 145–152. doi: https://doi.org/10.1007/s13157-015-0647-1

    Article  Google Scholar 

  • Zhao Q Q, Bai J H, Lu Q Q et al., 2017. Effects of salinity on dynamics of soil carbon in degraded coastal wetlands: implications on wetland restoration. Physics and Chemistry of the Earth, Parts A/B/C, 97: 12–18. doi: https://doi.org/10.1016/j.pce.2016.08.008

    Article  Google Scholar 

  • Zhao Q Q, Bai J H, Zhang G L et al., 2018. Effects of water and salinity regulation measures on soil carbon sequestration in coastal wetlands of the Yellow River Delta. Geoderma, 319: 219–229. doi: https://doi.org/10.1016/j.geoderma.2017.10.058

    Article  Google Scholar 

  • Zhu Fawen, Lu Zhihua, Cai Mei et al., 2017. Evaluation of river network connectivity in plain area of Taihu basin. Hydro-Science and Engineering, (4)52–58. (in Chinese)

  • Zou Yuxuan, Cheng Jing, Liu Kang et al., 2015. The contents of carbon and nitrogen of different forms and distribution of ammonia oxidizing prokaryotes in soils of ancient Yellow River. Wetland Science, 13(6): 752–758. (in Chinese)

    Google Scholar 

  • Zuecco G, Rinderer M, Penna D et al., 2019. Quantification of subsurface hydrologic connectivity in four headwater catchments using graph theory. Science of the Total Environment, 646: 1265–1280. doi: https://doi.org/10.1016/j.scitotenv.2018.07.269

    Article  Google Scholar 

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Authors and Affiliations

  1. School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, 100083, China

    Jiuge Feng, Jinfeng Liang, Qianwei Li, Xiaoya Zhang, Yi Yue & Junqin Gao

  2. State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China

    Jinfeng Liang

  3. The Key Laboratory of Ecological Protection in the Yellow River Basin of National Forestry and Grassland Administration, Beijing, China

    Junqin Gao

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  1. Jiuge Feng
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  2. Jinfeng Liang
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Under the auspices of the National Key Research and Development Program of China (No. 2017YFC0505903), College Student Research and Career-creation Program of China (No. 201810022070)

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Feng, J., Liang, J., Li, Q. et al. Effect of Hydrological Connectivity on Soil Carbon Storage in the Yellow River Delta Wetlands of China. Chin. Geogr. Sci. 31, 197–208 (2021). https://doi.org/10.1007/s11769-021-1185-9

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