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Friday, 18 November 2016

Effects of deep percolation on dissolved inorganic nitrogen exports from forested headwater catchments

Published Date
Volume 21, Issue 2pp 57–66

Original Article
DOI: 10.1007/s10310-015-0517-y

Cite this article as: 
Iwasaki, K., Katsuyama, M. & Tani, M. J For Res (2016) 21: 57. doi:10.1007/s10310-015-0517-y

  • Kenta Iwasaki
  • Masanori Katsuyama
  • Makoto Tani

We examined the effects of deep percolation on dissolved inorganic nitrogen (DIN) exports from two adjacent weathered granite headwater catchments with different deep percolations of water in the Kiryu Experimental Watershed (KEW), Japan. The DIN output in streamflow was estimated from a regression equation between stream discharge and the DIN load, determined from both monthly sampling data and event-based sampling data. The range of deep percolation of DIN was estimated by multiplying observed DIN concentrations in bedrock groundwater by the deep percolation of water estimated from an annual water budget analysis. We found that the deep percolation of DIN corresponded to 34–76 % and −18 to 8 % of the total DIN output in catchments where the deep percolation of water was 37–45 % and −6 to 3 % of annual precipitation, respectively. This means that the deep percolation of DIN is not negligible when estimating the total output of DIN in the former catchment. Moreover, the fact that deep percolating water from upper catchments discharged into a lower catchment in KEW suggests that deep percolation of DIN affects downstream N budgets. Therefore, it is important to account for the deep percolation of DIN when evaluating N budgets in forested headwater catchments as well as downstream catchments.


  1. Aber JD, Nadelhoffer KJ, Steudler P, Melillo JM (1989) Nitrogen saturation in northern forest ecosystems. Bioscience 39:378–386CrossRefGoogle Scholar
  2. Aber JD, Ollinger SV, Driscoll CT, Likens GE, Holmes RT, Freuder RJ, Goodale CL (2002) Inorganic nitrogen losses from a forested ecosystem in response to physical, chemical, biotic, and climatic perturbations. Ecosystems 5:648–658CrossRefGoogle Scholar
  3. Aishlin P, McNamara JP (2011) Bedrock infiltration and mountain block recharge accounting using chloride mass balance. Hydrol Process 25:1934–1948CrossRefGoogle Scholar
  4. Baldocchi DD, Ryu Y (2011) A synthesis of forest evaporation fluxes—from days to years—as measured with eddy covariance. In: Levia DF, Carlyle-Moses D, Tanaka T (eds) Forest hydrology and biogeochemistry: synthesis of past research and future directions. Springer, New York, pp 101–116CrossRefGoogle Scholar
  5. Burns DA, Murdoch PS, Lawrence GB, Michel L (1998) Effect of groundwater springs on NO3 concentrations during summer in Catskill Mountain streams. Water Resour Res 34:1987–1996CrossRefGoogle Scholar
  6. Campbell JL, Hornbeck JW, Mitchell MJ, Adams MB, Castro MS, Driscoll CT, Kahl JS, Kochenderfer JN, Likens GE, Lynch JA, Murdoch PS, Nelson SJ, Shanley JB (2004) Input-output budgets of inorganic nitrogen for 24 forest watersheds in the northeastern United States: a review. Water Air Soil Pollut 151:373–396CrossRefGoogle Scholar
  7. Genereux DP, Jordan MT, Carbonell D (2005) A paired-watershed budget study to quantify interbasin groundwater flow in a lowland rain forest, Costa Rica. Water Resour Res 41:W04011CrossRefGoogle Scholar
  8. Graham CB, van Verseveld W, Barnard HR, McDonnell JJ (2010) Estimating the deep percolation component of the hillslope and catchment water balance within a measurement uncertainty framework. Hydrol Process 24:3631–3647CrossRefGoogle Scholar
  9. Güler C, Thyne GD (2006) Statistical clustering of major solutes: use as a tracer for evaluating interbasin groundwater flow into Indian Wells Valley, California. Environ Eng Geosci XII:53–65CrossRefGoogle Scholar
  10. Houle D, Duchesne L, Boutin R (2009) Effects of a spruce budworm outbreak on element export below the rooting zone: a case study for a balsam fir forest. Ann For Sci 66:707CrossRefGoogle Scholar
  11. Ide J, Nagafuchi O, Chiwa M, Kume A, Otsuki K, Ogawa S (2007) Effects of discharge level on the load of dissolved and particulate components of stream nitrogen and phosphorus from a small afforested watershed of Japanese cypress (Chamaecyparis obtusa). J For Res 12:45–56CrossRefGoogle Scholar
  12. Iwasaki K, Katsuyama M, Tani M (2015) Contributions of bedrock groundwater to the upscaling of storm-runoff generation processes in weathered granitic headwater catchments. Hydrol Process 29:1535–1548CrossRefGoogle Scholar
  13. Jones JB (2002) Groundwater controls on nutrient cycling in a Mojave desert stream. Freshw Biol 47:971–983CrossRefGoogle Scholar
  14. Kaneko S, Akieda N, Naito F, Tamai K, Hirano Y (2007) Nitrogen budget of a rehabilitated forest on a degraded granitic hill. J For Res 12:38–44CrossRefGoogle Scholar
  15. Katsura S, Kosugi K, Mizutani T, Mizuyama T (2009) Hydraulic properties of variously weathered granitic bedrock in headwater catchments. Vadose Zo J 8:557–573CrossRefGoogle Scholar
  16. Katsuyama M, Ohte N, Kosugi K (2004) Hydrological control of the streamwater NO3 concentrations in a weathered granitic headwater catchment. J Jpn For Soc 86:27–36 (in Japanese with English summary)
  17. Katsuyama M, Ohte N, Kabeya N (2005) Effects of bedrock permeability on hillslope and riparian groundwater dynamics in a weathered granite catchment. Water Resour Res 41:W01010CrossRefGoogle Scholar
  18. Katsuyama M, Tani M, Nishimoto S (2010) Connection between streamwater mean residence time and bedrock groundwater recharge/discharge dynamics in weathered granite catchments. Hydrol Process 24:2287–2299CrossRefGoogle Scholar
  19. Kosugi K, Katsura S, Katsuyama M, Mizuyama T (2006) Water flow processes in weathered granitic bedrock and their effects on runoff generation in a small headwater catchment. Water Resour Res 42:W02414CrossRefGoogle Scholar
  20. Likens GE, Bormann FH (1995) Biogeochemistry of a forested ecosystem, 2nd edn. Springer, New YorkCrossRefGoogle Scholar
  21. Likens GE, Bormann FH, Johnson NM, Fisher DW, Pierce RS (1970) Effects of forest cutting and herbicide treatment on nutrient budgets in the Hubbard Brook watershed-ecosystem. Ecol Monogr 40:23–47CrossRefGoogle Scholar
  22. Matsumoto K, Kosugi Y, Katsuyama M, Tani M, Ohkubo S, Takanashi S (2011) Estimation of bedrock infiltration on a weathered granitic mountain covered by Japanese cypress forest using water-budget and eddy covariance methods. Int J Eros Control Eng 4:10–20CrossRefGoogle Scholar
  23. Maxey GB (1968) Hydrogeology of desert basins. Ground Water 6:10–22CrossRefGoogle Scholar
  24. Oda T, Suzuki M, Egusa T, Uchiyama Y (2013) Effect of bedrock flow on catchment rainfall-runoff characteristics and the water balance in forested catchments in Tanzawa Mountains, Japan. Hydrol Process 27:3864–3872CrossRefGoogle Scholar
  25. Ohrui K, Mitchell M (1997) Nitrogen saturation in Japanese forested watersheds. Ecol Appl 7:391–401CrossRefGoogle Scholar
  26. Ohte N, Tokuchi N, Suzuki M (1995) Biogeochemical influences on the determination of water chemistry in a temperate forest basin: factors determining the pH value. Water Resour Res 31:2823–2834CrossRefGoogle Scholar
  27. Osaka K, Ohte N, Koba K, Yoshimizu C, Katsuyama M, Tani M, Tayasu I, Nagata T (2010) Hydrological influences on spatiotemporal variations of δ15N and δ18O of nitrate in a forested headwater catchment in central Japan: denitrification plays a critical role in groundwater. J Geophys Res 115:G02021Google Scholar
  28. Pardo LH, Driscoll CT, Likens GE (1995) Patterns of nitrate loss from a chronosequence of clear-cut watersheds. Water Air Soil Pollut 85:1659–1664CrossRefGoogle Scholar
  29. Scatena FN (2000) Drinking water quality. In: Dissmeyer GE (ed) Drinking water from forests and grasslands: a synthesis of the scientific literature. USDA Forest Service Southern Research Station, Asheville, pp 7–25
  30. Shaman J, Stieglitz M, Burns D (2004) Are big basins just the sum of small catchments? Hydrol Process 18:3195–3206CrossRefGoogle Scholar
  31. Stewart MK, Mehlhorn J, Elliott S (2007) Hydrometric and natural tracer (oxygen-18, silica, tritium and sulphur hexafluoride) evidence for a dominant groundwater contribution to Pukemanga Stream, New Zealand. Hydrol Process 21:3340–3356CrossRefGoogle Scholar
  32. Stoddard JL (1994) Long-term changes in watershed retention of nitrogen: its causes and aquatic consequences. In: Baker LA (ed) Environmental chemistry of lakes and reservoirs. American Chemical Society, Washington, DC, pp 223–284
  33. Swank WT, Waide JB, Crossley DA, Todd RL (1981) Insect defoliation enhances nitrate export from forest ecosystems. Oecologia 51:297–299CrossRefGoogle Scholar
  34. Swank W, Vose J, Elliott K (2001) Long-term hydrologic and water quality responses following commercial clearcutting of mixed hardwoods on a southern Appalachian catchment. For Ecol Manage 143:163–178CrossRefGoogle Scholar
  35. Takagi M (2013) Evapotranspiration and deep percolation of a small catchment with a mature Japanese cypress plantation. J For Res 18:73–81CrossRefGoogle Scholar
  36. Tokuchi N, Ohte N, Osaka K, Katsuyama M (2013) Separate estimation of N export into baseline N leakage without disturbance and N loss due to insect defoliation in a pine forest watershed in central Japan. Environ Monit Assess 185:855–863CrossRefGoogle Scholar
  37. Uchida T, Asano Y (2010) Spatial variability in the flowpath of hillslope runoff and streamflow in a meso-scale catchment. Hydrol Process 24:2277–2286CrossRefGoogle Scholar
  38. Verry ES (2003) Estimating ground water yield in small research basins. Ground Water 41:1001–1004CrossRefGoogle Scholar
  39. White AF (1979) Geochemistry of ground water associated with tuffaceous rocks, Oasis Valley, Nevada. US Geological Survey Professional Paper 712-E. US Government Printing Office, Washington, DC
  40. Winograd IJ (1962) Interbasin movement of ground water at the Nevada Test Site. US Geological Survey Professional Paper TEI-807. US Government Printing Office, Washington, DC

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