Advertisement

Wetlands

pp 1–13 | Cite as

Can Multi-Element Fingerprinting of Soils Inform Assessments of Chemical Connectivity Between Depressional Wetlands?

  • Xiaoyan Zhu
  • Yuxiang YuanEmail author
  • David M. Mushet
  • Marinus L. Otte
General Wetland Science

Abstract

The question of wetland connectivity is particularly relevant regarding depressional wetlands because these often seem to be “isolated” from other wetlands on a landscape. We used multi-element fingerprinting to assess similarity in element composition of depressional-wetland soils as a measure of wetland connectivity. We determined the concentrations of 63 elements in the surface soil (top 10 cm) for ten sequences, each consisting of at least one recharge, one flow-through and one discharge depressional wetland in the Prairie Pothole Region of North Dakota. Across all wetlands, soil pH, organic matter content, and electrical conductivity were the most important variables explaining variation in element concentrations. Electrical conductivity and pH significantly increased along a recharge to flow-through to discharge gradient, as did concentrations of As, B, Ca, Co, Hf, Li, Mg, Na, S, Sb, and Sr. Concentrations of Ag, Cd, Cu, P, Pb, Rb, and Se showed the reverse pattern. Similarity-tree analysis revealed that recharge and discharge wetlands clustered in different groups, but that flow-through wetlands were distributed across the spectrum. Our study supports the idea that wetlands in the PPR are chemically connected through surface-water and groundwater flows, and erosional processes, but also behave as independent units within a larger hydrologic landscape.

Keywords

Prairie pothole region Biogeochemistry Hydrology Disturbance Restoration 

Notes

Acknowledgments

This research was financially supported by a US Environmental Protection Agency grant (CD-96853101, Otte), the Society of Wetland Scientists (EiC stipend to Otte), the National Natural Science Foundation of China (No. 41601101, Zhu); China Postdoctoral Science Foundation (No. 20150010, Zhu); the Science and Technology Development Project of Jilin Province (No. 20170520081JH, Zhu) and the International Postdoctoral Exchange Fellowship Program (No. 20160065, Zhu). We thank Justin Waraniak for his help with data analysis; Benjamin Hintz and Kaitlyn Willason for their assistance with field work and sample analysis. We thank William Arnold and anonymous reviewers for their constructive reviews of earlier drafts of our manuscript. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

Supplementary material

13157_2019_1154_MOESM1_ESM.pdf (143 kb)
ESM 1 (PDF 142 kb)
13157_2019_1154_MOESM2_ESM.xls (124 kb)
ESM 2 (XLS 124 kb)

References

  1. Alexander LC (2015) Science at the boundaries: a scientific support for the clean water rule. Freshwater Science 34:1588–1595.  https://doi.org/10.1086/684076 CrossRefGoogle Scholar
  2. Ali G, Haque A, Basu NB, Badiou P, Wilson H (2017) Groundwater-driven wetland-stream connectivity in the prairie pothole region: inferences based on electrical conductivity data. Wetlands 37:773–785.  https://doi.org/10.1007/s13157-017-0913-5 CrossRefGoogle Scholar
  3. Arndt JL, Richardson JL (1988) Hydrology, salinity and hydric soil development in a North Dakota prairie pothole wetland system. Wetlands 8:93–108.  https://doi.org/10.1007/BF03160595 CrossRefGoogle Scholar
  4. Arndt JL, Richardson JL (1989) Geochemistry of hydric soil-salinity in a recharge-throughflow-discharge prairie pothole wetland system. Soil Science Society of America Journal 53:848–855.  https://doi.org/10.2136/sssaj1989.03615995005300030037x CrossRefGoogle Scholar
  5. Brooks JR, Mushet DM, Vanderhoof MK, Leibowitz SG, Christensen JR, Neff BP, Rosenberry DO, Rugh WD, Alexander LC (2018) Estimating wetland connectivity to streams in the prairie pothole region: an isotopic and remote sensing approach. Water Resources Research 54:955–977.  https://doi.org/10.1002/2017WR021016 CrossRefGoogle Scholar
  6. Brubaker SC, Jones JA, Lewis DT, Frank K (1993) Soil properties associated with landscape position. Soil Science Society of America Journal 57:235–239.  https://doi.org/10.2136/sssaj1993.03615995005700010041x CrossRefGoogle Scholar
  7. Drouet T, Herbauts J (2008) Evaluation of the mobility and discrimination of Ca, Sr and Ba in forest ecosystems: consequence on the use of alkaline-earth element ratios as tracers of Ca. Plant and Soil 302:105–124.  https://doi.org/10.1007/s11104-007-9459-2 CrossRefGoogle Scholar
  8. Ellis S, Mellor A (1995) Soils and environment. Routledge, New YorkGoogle Scholar
  9. Euliss NH, LaBaugh JW, Fredrickson LH, Mushet DM, Laubhan MK, Swanson GA, Winter TC, Rosenberry DO, Nelson RD (2004) The wetland continuum: a conceptual framework for interpreting biological studies. Wetlands 24:448–458. https://doi.org/10.1672/0277-5212(2004)024[0448:TWCACF]2.0.CO;2Google Scholar
  10. Farnham IM, Singh AK, Stetzenbach KJ, Johannesson KH (2002) Treatment of nondetects in multivariate analysis of groundwater geochemistry data. Chemometrics and Intelligent Laboratory Systems 60:265–281.  https://doi.org/10.1016/S0169-7439(01)00201-5 CrossRefGoogle Scholar
  11. Gambogi J (2010) Zirconium and hafnium. United States Geological Survey Minerals Yearbook 2007. https://minerals.usgs.gov/minerals/pubs/commodity/zirconium/myb1-2007-zirco.pdf
  12. Goldberg S, Su C (2007) New advances in boron soil chemistry. In: Xu F, Goldbach HE, Brown PH, Bell RW, Fujiwara T, Hunt CD, Goldberg S, Shi L (eds) Advances in plant and animal boron nutrition. Springer, Dordrecht.  https://doi.org/10.1007/978-1-4020-5382-5_31 Google Scholar
  13. Goldhaber MB, Mills CT, Morrison JM, Stricker CA, Mushet DM, LaBaugh JW (2014) Hydrogeochemistry of prairie pothole region wetlands: role of long-term critical zone processes. Chemical Geology 387:170–183.  https://doi.org/10.1016/j.chemgeo.2014.08.023 CrossRefGoogle Scholar
  14. Hayashi M, van der Kamp G, Rosenberry DO (2016) Hydrology of prairie wetlands: understanding the integrated surface-water and groundwater processes. Wetlands 36(Suppl 2):S237–S254.  https://doi.org/10.1007/s13157-016-0797-9 CrossRefGoogle Scholar
  15. Jacob DL, Otte ML (2004) Long-term effects of submergence and wetland vegetation on metals in a 90-year old abandoned Pb–Zn mine tailings pond. Environmental Pollution 130:337–345.  https://doi.org/10.1016/j.envpol.2004.01.006 CrossRefGoogle Scholar
  16. Jacob DL, Yellick AH, Kissoon LT, Asgary A, Wijeyaratne DN, Saini-Eidukat B, Otte ML (2013) Cadmium and associated metals in soils and sediments of wetlands across the Northern Plains, USA. Environmental Pollution 178:211–219.  https://doi.org/10.1016/j.envpol.2013.03.005 CrossRefGoogle Scholar
  17. LaBaugh JW, Winter TC, Adomaitis VA, Swanson GA (1987) Hydrology and chemistry of selected prairie wetlands in the Cottonwood Lake area, Stutsman County, North Dakota, 1979–82, U.S. Geological Survey Professional Paper 1431, 26 pages https://pubs.er.usgs.gov/publication/pp1431
  18. Leibowitz SG (2015) Geographically isolated wetlands: why we should keep the term. Wetlands 35:997–1003.  https://doi.org/10.1007/s13157-015-0691-x CrossRefGoogle Scholar
  19. Leibowitz SG, Vining KC (2003) Temporal connectivity in a prairie pothole complex. Wetlands 23:13–25. https://doi.org/10.1672/0277-5212(2003)023[0013:TCIAPP]2.0.CO;2Google Scholar
  20. Leibowitz S, Mushet DM, Newton WE (2016) Intermittent surface water connectivity—fill and spill vs. fill and merge dynamics. Wetlands 36:S323–S342.  https://doi.org/10.1007/s13157-016-0830-z CrossRefGoogle Scholar
  21. Martin DB, Hartman WA (1987) Correlations between selected trace elements and organic matter and texture in sediments of northern prairie wetlands. Journal of the Association of Official Analytical Chemists 70:916–919Google Scholar
  22. Marton JM, Creed IF, Lewis DB, Lane CR, Basu NB, Cohen MJ, Craft CB (2015) Geographically isolated wetlands are important biogeochemical reactors on the landscape. Bioscience 65:408–418.  https://doi.org/10.1093/biosci/biv009 CrossRefGoogle Scholar
  23. McLauchlan KK, Hobbie SE, Post WM (2006) Conversion from agriculture to grassland builds soil organic matter on decadal timescales. Ecological Applications 16:143–153.  https://doi.org/10.1890/04-1650 CrossRefGoogle Scholar
  24. Moreno-Mateos D, Power ME, Comín FA, Yockteng R (2012) Structural and functional loss in restored wetland ecosystems. PLoS Biology 10(1):e1001247.  https://doi.org/10.1371/journal.pbio.1001247 CrossRefGoogle Scholar
  25. Mushet DM, Calhoun AJK, Alexander LC, Cohen MJ, DeKeyser ES, Fowler l LCR, Lang MW, Rains MC, Walls SC (2015) Geographically isolated wetlands: rethinking a misnomer. Wetlands 35:423–431.  https://doi.org/10.1007/s13157-015-0631-9 CrossRefGoogle Scholar
  26. Neff BP, Rosenberry DO (2018) Groundwater connectivity of upland-embedded wetlands in the prairie pothole region. Wetlands 38:51–63.  https://doi.org/10.1007/s13157-017-0956-7 CrossRefGoogle Scholar
  27. Niemuth ND, Wangler B, Reynolds RE (2010) Spatial and temporal variation in wet area of wetlands in the prairie pothole region of North Dakota and South Dakota. Wetlands 30:1053–1064.  https://doi.org/10.1007/s13157-010-0111-1 CrossRefGoogle Scholar
  28. Oksanen J, Blanchet FG, Friendly M, Kindt R, Legendre P, McGlinn D, Minchin PR, O'Hara RB, Simpson GL, Solymos P, Stevens MHH, Szoecs E, Wagner H (2018) Vegan: community ecology package. https://cran.r-project.org/web/packages/vegan/index.html. Accessed 25 Oct 2018
  29. Rauch S, Morrison GM, Motelica-Heino M, Donard OFX, Muris M (2010) Elemental association and fingerprinting of traffic-related metals in road sediments. Environmental Science & Technology 34:3119–3123.  https://doi.org/10.1021/es000001r CrossRefGoogle Scholar
  30. Reimann C, Boyd R, de Caritat P, Halleraker JH, Kashulina G, Niskavaara H, Bogatyrev I (1997) Topsoil (0-5 cm) composition in eight arctic catchments in northern Europe (Finland, Norway and Russia). Environmental Pollution 95:45–56.  https://doi.org/10.1016/S0269-7491(96)00102-9 CrossRefGoogle Scholar
  31. Reimann C, Filtzmoser P, Garrett R, Dutter R (2008) Statistical data analysis explained. Applied environmental statistics with R. Chichester. John Wiley & Sons, UKCrossRefGoogle Scholar
  32. Salomons W, Förstner U (1984) Metals in the hydrocycle. Springer-Verlag, BerlinCrossRefGoogle Scholar
  33. Schaetzl R, Anderson S (2005) Soils. Genesis and geomorphology. Cambridge University press, Cambridge. ISBN 0 521 81201 1CrossRefGoogle Scholar
  34. Schliep K, Emmanuel Paradis E, de Oliveira Martins L, Potts A, White TW, Stachniss C, Kendall M (2018) Phangorn: Phylogenetic Reconstruction and Analysis. https://cran.r-project.org/web/packages/phangorn/index.html. Accessed 25 Oct 2018
  35. Skagen SK, Burris LE, Granfors DA (2016) Sediment accumulation in prairie wetlands under a changing climate: the relative roles of landscape and precipitation. Wetlands 36(Supplement 2):383–395.  https://doi.org/10.1007/s13157-016-0748-5 CrossRefGoogle Scholar
  36. Smith AG, Stoudt JH, Gollop, JB (1964) Prairie potholes and marshes. Waterfowl tomorrow. United States Fish and Wildlife Service. Washington DC 770 pp, 39-50Google Scholar
  37. Stewart RE, Kantrud HA (1971) Classification of natural ponds and lakes in the glaciated prairie region. Bureau of Sport Fisheries and Wildlife, U.S. Fish and Wildlife Service, Washington, D.C., USAGoogle Scholar
  38. Stutter MI, Langan SJ, Lumsdon DG, Clark LM (2009) Multi-element signatures of stream sediments and sources under moderate to low flow conditions. Applied Geochemistry 24:800–809.  https://doi.org/10.1016/j.apgeochem.2009.01.005 CrossRefGoogle Scholar
  39. Tiner RW (2003) Estimated extent of geographically isolated wetlands in selected areas of the United States. Wetlands 23:636–652. https://doi.org/10.1672/0277-5212(2003)023[0636:EEOGIW]2.0.CO;2Google Scholar
  40. USEPA (US Environmental Protection Agency) (2015) Connectivity of streams and wetlands to downstream waters: a review and synthesis of the scientific evidence. https://cfpub.epa.gov/ncea/risk/recordisplay.cfm?deid=296414
  41. Van den Berg CMG, Loch G (2000) Decalcification of soils subject to periodic waterlogging. European Journal of Soil Science 51:27–33.  https://doi.org/10.1046/j.1365-2389.2000.00279.x CrossRefGoogle Scholar
  42. Vanderhoof MK, Alexander LC, Todd MJ (2016) Temporal and spatial patterns of wetland extent influence variability of surface water connectivity in the prairie pothole region, United States. Landscape Ecology 31:805–824.  https://doi.org/10.1007/s10980-015-0290-5 CrossRefGoogle Scholar
  43. Werkmeister C, Jacob DL, Cihacek L, Otte ML (2018) Multi-element composition of prairie pothole wetland soils along depth profiles reflects past disturbance to a depth of at least one meter. Wetlands 38:1–14.  https://doi.org/10.1007/s13157-018-1032-7 CrossRefGoogle Scholar
  44. Winter TC (2003) Geohydrologic setting of the Cottonwood Lake area. In: Winter TC (ed) Hydrological, chemical, and biological characteristics of a prairie pothole wetland complex under highly variable climate conditions—the Cottonwood Lake area, east-central North Dakota. U.S. Geological Survey Professional Paper 1675, pp 1–24Google Scholar
  45. Winter TC, Rosenberry DO (1995) The interaction of ground water with prairie pothole wetlands in the cottonwood Lake area, east-central North Dakota, 1979–1990. Wetlands 15:193–211.  https://doi.org/10.1007/BF03160700 CrossRefGoogle Scholar
  46. Wu Q, Lane C (2017) Delineating wetland catchments and modeling hydrologic connectivity using lidar data and aerial imagery. Hydrology and Earth System Sciences 21:3579–3595.  https://doi.org/10.5194/hess-21-3579-2017 CrossRefGoogle Scholar
  47. Yellick AH, Jacob DL, DeKeyser ES, Hargiss CLM, Meyers LM, Ell M, Kissoon-Charles LT, Otte ML (2016) Multi-element composition of soils of seasonal wetlands across North Dakota, USA. Environmental Monitoring and Assessment 188:17.  https://doi.org/10.1007/s10661-015-5013-5 CrossRefGoogle Scholar
  48. Yu G, Smith D, Zhu H, Guan Y, Lam TT (2017) GGTREE: an R package for visualization and annotation of phylogenetic trees with their covariates and other associated data. Methods in Ecology and Evolution 8:28–36.  https://doi.org/10.1111/2041-210X.12628 CrossRefGoogle Scholar
  49. Yuan Y, Zhu X, Mushet MD, Otte ML (2019) Multi-element fingerprinting of waters to evaluate connectivity among depressional wetlands. Ecological Indicators 97:398–409.  https://doi.org/10.1016/j.ecolind.2018.10.0 CrossRefGoogle Scholar

Copyright information

© Society of Wetland Scientists 2019

Authors and Affiliations

  • Xiaoyan Zhu
    • 1
    • 2
    • 3
  • Yuxiang Yuan
    • 1
    Email author
  • David M. Mushet
    • 4
  • Marinus L. Otte
    • 1
  1. 1.Wet Ecosystem Research Group, Biological Sciences, Department 2715North Dakota State UniversityFargoUSA
  2. 2.Key Laboratory of Songliao Aquatic Environment, Ministry of EducationJilin Jianzhu UniversityChangchunChina
  3. 3.Key Laboratory of Wetland Ecology and EnvironmentNortheast Institute of Geography and Agroecology, Chinese Academy of SciencesChangchunChina
  4. 4.U.S. Geological SurveyNorthern Prairie Wildlife Research CenterJamestownUSA

Personalised recommendations