Plant and Soil

, Volume 294, Issue 1–2, pp 113–123

Influence of soil thickness on stand characteristics in a Sierra Nevada mixed-conifer forest

  • Marc D. Meyer
  • Malcolm P. North
  • Andrew N. Gray
  • Harold S. J. Zald
Regular Article

Abstract

Soil thickness can be an important factor influencing vegetation, yet few spatially-explicit studies have examined soil horizon thickness and vegetation composition in summer-drought forests. We compared seismic and soil penetration measurements of combined A + C and Cr horizon thickness, soil moisture and temperature, and stand variables in a contiguous 4-ha mixed-conifer stand of the Sierra Nevada. Thickness of A + C and Cr horizons were highly variable but were not correlated to each other. Total basal area and canopy cover were positively related with A + C horizon thickness, and shrub cover was positively related with Cr horizon thickness. Basal area of white fir [Abies concolor (Gord and Glend) Lindl.] and incense-cedar [Calocedrus decurrens (Torrey) Florin] were positively correlated with A + C horizon thickness, but there was no relationship between A + C or Cr horizon thickness and basal area of Jeffrey pine (Pinus jeffreyi Grev. and Balf.), sugar pine (P. lambertiana Douglas), or red fir (A. magnifica A. Murray). Both white and red fir seedlings were associated with decreased soil temperature, but only white fir seedlings were positively associated with soil moisture. Soil penetration estimates of soil thickness were similar to seismic estimates for shallow soils (<50 cm depth) but were poorly related on deeper soils. Visual surface conditions and tile probe estimates of soil thickness can be highly misleading because ‘shallow’ areas may have a thick layer of weathered bedrock that can serve as a potential rooting medium for deep-rooted trees and shrubs. In our study only the refraction seismic method had the potential to measure total soil depth that included A + C and Cr horizon thickness.

Keywords

Forest regeneration Refraction seismic method Soil moisture Soil temperature 

References

  1. Arkley RJ (1981) Soil moisture use in a mixed conifer forest in a summer dry climate. Soil Sci Soc Am J 45:423–427CrossRefGoogle Scholar
  2. Barbour MG, Pavlik BM, Antos JA (1990) Seedling growth and survival of red and white fir in a Sierra Nevada ecotone. Am J Bot 77:927–938CrossRefGoogle Scholar
  3. Barbour MG, Fernau RF, Rey Benayas JM, Jurjavcic N, Royce EB (1998) Tree regeneration following clearcut logging in red fir forests of California. For Ecol Manage 104:101–111CrossRefGoogle Scholar
  4. Bornyasz MA, Graham RC, Allen MF (2005) Ectomycorrhizae in a soil-weathered granitic bedrock regolith: linking matrix resources to plants. Geoderma 126:141–160CrossRefGoogle Scholar
  5. Bruns TD (1995) Thoughts on the processes that maintain local species diversity of ectomycorrhizal fungi. Plant Soil 170:63–73CrossRefGoogle Scholar
  6. Canadell J, Jackson RB, Ehlinger JB, Mooney HA, Sala OE, Schulze ED (1996) Maximum rooting depths of vegetation types at the global scale. Oecologia 108:583–595CrossRefGoogle Scholar
  7. Conrad SG, Jaramillo AE, Cromack K, Rose S (1985) The role of Ceanothus in western forest ecosystems. USDA Forest Service General Technical Report PNW-182Google Scholar
  8. Czarnomski NM, Moore GW, Pypker TG, Licata J, Bond BJ (2005) Precision and accuracy of three alternative instruments for measuring soil moisture content in two forest soils of the Pacific Northwest. Can J For Res 35:1867–1876CrossRefGoogle Scholar
  9. Dovčiak M, Reich PB, Frelich LE (2003) Seed rain, safe sites, competing vegetation, and soil resources spatially structure white pine regeneration and recruitment. Can J For Res 33:1892–1904CrossRefGoogle Scholar
  10. Fisher RF, Binkley D (2000) Ecology and management of forest soils. Wiley, New YorkGoogle Scholar
  11. Fralish JS (1994) The effect of site environment on forest productivity in the Illinois Shawnee Hills. Ecol Appl 4:134–143CrossRefGoogle Scholar
  12. Fuhlendorf SD, Smeins FE (1998) The influence of soil depth on plant species response to grazing within a semi-arid savanna. Plant Ecol 138:89–96CrossRefGoogle Scholar
  13. Gasch JW, Gasch KL, Hagin DT, Busby JW (2002) Geophysical investigation to estimate soil depth at the Teakettle Experimental Forest, Fresno County, California. Gasch and Associates Project No. 2002-31.01. 27 ppGoogle Scholar
  14. Giger DR, Schmitt GJ (1983). Soil survey of the Sierra National Forest area, California. United States Department of Agriculture (USDA) Forest Service Pubication, Clovis, 412 ppGoogle Scholar
  15. Gray AN, Spies TA (1995) Water content measurement in forest soils and decayed wood using time domain reflectometry. Can J For Res 25:376–385Google Scholar
  16. Gray AN, Zald HSJ, Kern RA, North M (2005) Stand conditions associated with tree regeneration in Sierran mixed-conifer forests. For Sci 51:198–210Google Scholar
  17. Haeni FP (1986) Application of seismic refraction methods in groundwater modeling studies in New England. Geophysics 51:236–249CrossRefGoogle Scholar
  18. Hosmer DW, Lemeshow S (2000) Applied logistic regression. Wiley, New YorkGoogle Scholar
  19. Hubbert KR, Beyers JL, Graham RC (2001a) Roles of weathered bedrock and soil in seasonal water relations of Pinus Jeffreyi and Arctostaphylos patula. Can J For Res 31:1947–1957CrossRefGoogle Scholar
  20. Hubbert KR, Graham RC, Anderson MA (2001b) Soil and weathered bedrock: components of a Jeffrey pine plantation substrate. Soil Sci Soc Am J 65:1255–1262CrossRefGoogle Scholar
  21. Izzo A, Agbowo J, Bruns TD (2005) Detection of plot-level changes in ectomycorrhizal communities across years in an old-growth mixed-conifer forest. New Phytol 166:619–620PubMedCrossRefGoogle Scholar
  22. Jackson RB, Canadell J, Ehleringer JR, Mooney HA, Sala OE, Schulze ED (1996) A global analysis of root distributions for terrestrial biomes. Oecologia 108:389–411CrossRefGoogle Scholar
  23. Laacke RJ (1990) Abies concolor. In: Burns RM, Honkala BH (eds). Silvics of North America, vol 1. Conifers. USDA Forest Service Agricultural Handbook 654, Washington, pp 48–69Google Scholar
  24. Lookingbill T, Urban D (2004) An empirical approach towards improved spatial estimates of soil moisture for vegetation analysis. Landsc Ecol 19:417–433CrossRefGoogle Scholar
  25. McCann DM, Jackson PD, Fenning PJ (1988) Comparison of seismic and ground probing radar methods in geological surveying. Radar and Signal Processing, Institute of Electrical and Electronics Engineers Proceedings F, vol 135, 380–390Google Scholar
  26. Meju MA, Gallardo LA, Mohamed AK (2003) Evidence for correlation of electrical resistivity and seismic velocity in heterogeneous near-surface materials. Geophys Res Lett 30:1373CrossRefGoogle Scholar
  27. North M, Oakley B, Chen J, Erickson H, Gray A, Izzo A, Johnson D, Ma S, Marra J, Meyer, M, Purcell K, Rambo T, Rizzo D, Roath B, Schowalter T (2002) Vegetation and ecological characteristics of mixed conifer and red fir forests at Teakettle Experimental Forest. USDA Forest Service General Technical Report PSW-GTR-186Google Scholar
  28. North M, Hurteau M, Fiegener R, Barbour MG (2005) Influence of fire and El Nino on tree recruitment varies by species in Sierran mixed conifer. For Sci 51:187–197Google Scholar
  29. Poff RJ (1996) Effects of silvicultural practices and wildfire on productivity of forest soils. In: Sierra Nevada ecosystem project: final report to congress, vol. II. University of California, Centers for Water and Wildlands Resources, Davis, pp 477–495Google Scholar
  30. Richter DD, Markewitz D (1995) How deep is soil? Bioscience 45:600–609CrossRefGoogle Scholar
  31. Romanya J, Vallejo VR (2004) Productivity of Pinus radiata plantations in Spain in response to climate and soil. For Ecol Manage 195:177–189CrossRefGoogle Scholar
  32. Rose KL, Graham RC, Parker DR (2002) Water source utilization by Pinus jeffreyi and Arctostaphylos patula on thin soils over bedrock. Oecologia 134:46–54PubMedGoogle Scholar
  33. Royce EB, Barbour MJ (2001) Mediterranean climate effects. I. Conifer water use across a Sierra Nevada ecotone. Am J Bot 88:911–918Google Scholar
  34. Smallidge PJ, Leopold DJ (1994) Forest community composition and juvenile red spruce (Picea rubens) age-structure and growth patterns in an Adirondack watershed. Bull Torrey Bot Club 121:345–356CrossRefGoogle Scholar
  35. Statistica (2003) Statistica user’s manual. Release 6.1 edn. StatSoft Inc., TulsaGoogle Scholar
  36. Sternberg PD, Anderson MA, Graham RC, Beyers JL, Tice KR (1996) Root distribution and seasonal water status in weathered granitic bedrock under chaparral. Geoderma 72:89–98CrossRefGoogle Scholar
  37. Stohlgren TJ, Bachand RR (1997) Lodgepole pine (Pinus contorta) ecotones in Rocky Mountain National Park, Colorado, USA. Ecology 78:632–641Google Scholar
  38. Urban DL, Miller C, Halpin PN, Stephenson NL (2000) Forest gradient response in Sierran landscapes: the physical template. Landsc Ecol 15:603–620CrossRefGoogle Scholar
  39. Vasek FC (1978) Jeffrey pine and vegetation of the southern Modoc National Forest California USA. Madroño 25:9–30Google Scholar
  40. Wall DH, Moore JC (1999) Interactions underground: soil biodiversity, mutualism, and ecosystem processes. Bioscience 49:109–117CrossRefGoogle Scholar
  41. Wang ZQ, Newton M, Tappeneiner JC (1995) Competitive relations between Douglas-fir and Pacific madrone on shallow soils in a Mediterranean climate. For Sci 41:744–757Google Scholar
  42. Witty JH, Graham RC, Hubbert KR, Doolittle JA, Wald JA (2003) Contributions of water supply from the weathered bedrock zone to forest soil quality. Geoderma 114:389–400CrossRefGoogle Scholar
  43. Zanner CW, Graham RC (2004) Deep regolith: exploring the lower reaches of soil. Geoderma 126:1–3CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2007

Authors and Affiliations

  • Marc D. Meyer
    • 1
  • Malcolm P. North
    • 1
    • 2
  • Andrew N. Gray
    • 3
  • Harold S. J. Zald
    • 3
    • 4
  1. 1.Sierra Nevada Research CenterPacific Southwest Research Station, USDA Forest ServiceDavisUSA
  2. 2.Department of Plant SciencesUniversity of CaliforniaDavisUSA
  3. 3.Pacific Northwest Research StationUSDA Forest ServiceCorvallisUSA
  4. 4.Department of Forest ScienceOregon State UniversityCorvallisUSA

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