Plant and Soil

, Volume 366, Issue 1–2, pp 401–413 | Cite as

Grassland cutting regimes affect soil properties, and consequently vegetation composition and belowground plant traits

  • Maarten J. J. Schrama
  • Verena Cordlandwehr
  • Eric J. W. Visser
  • Theo M. Elzenga
  • Yzaak de Vries
  • Jan P. Bakker
Regular Article


Background and aims

Machine mowing, mimicking the traditional hand mowing, is often used as a successful management tool to maintain grassland biodiversity, but few studies have investigated the long-term effects of traditional versus mechanical mowing of plant communities. Machine mowing as opposed to hand mowing causes soil compaction and reduction of soil aeration. In response, we expected strong effects on below-ground plant traits: root aerenchyma formation and superficial root growth, and no specific effects on aboveground traits. Effects were expected to be more pronounced in soils vulnerable to compaction.


We evaluated the changes in above- and belowground plant traits in a long-term (38-year) experiment with annual hand-mowing and machine-mowing management regimes on two different soil types: a coarse structured sandy soil and a finer structured sandy-organic soil


Only on the organic soil, long-term machine mowing leads to lower soil aeration (more compacted soil) and a marked change in the belowground trait distribution of the plant community. Here we find a higher cover of superficially rooting species and marginally significant lower cover of species without morphological adaptations to soil hypoxia, but no effect on species with a high capacity of forming aerenchyma.


Mowing with heavy machines on soils vulnerable to compaction affect the vegetation according to changes in soil physical conditions. This is reflected in a shift towards communities with greater proportion of superficially rooting species. Our results illustrate the sensitivity of grasslands to slight changes in the management regime.


Mowing Soil redox potential Aerenchyma Rooting depth Aboveground traits Long-term experiment 



We thank the nature conservation agency State Forestry Commission for permission to work in the nature reserve Stroomdallandschap Drentsche Aa (SBB), as well as Pieter Heijning and Marten Staal for their help with field work and lab work. We further thank two anonymous reviewers for valuable comments on an earlier version of this manuscript. This work has been made possible thanks to the support of VC from the European Science Foundation (ESF) under the EUROCORES Programme EuroDIVERSITY, through contract No. ERAS-CT-2003-980409 of the European Commission, DG Research, FP6.

Supplementary material

11104_2012_1435_MOESM1_ESM.docx (1.1 mb)
ESM 1 (DOCX 1078 kb)


  1. Armstrong W, Justin S, Beckett PM, Lythe S (1991) Root adaptation to soil waterlogging. Aquat Bot 39:57–73CrossRefGoogle Scholar
  2. Baayen RH (2011) languageR: data sets and functions with “Analyzing linguistic data: a practical introduction to statistics”. R package version 1.2Google Scholar
  3. Bailey-Serres J, Voesenek LACJ (2008) Flooding stress: acclimations and genetic diversity. Annu Rev Plant Biol 59:313–339PubMedCrossRefGoogle Scholar
  4. Bakker JP (1989) Nature management by grazing and cutting, vol 14. Kluwer Academic Publishers, DordrechtCrossRefGoogle Scholar
  5. Bakker JP, Elzinga JA, de Vries Y (2002) Effects of long-term cutting in a grassland system: perspectives for restoration of plant communities on nutrient-poor soils. Appl Veg Sci 5:107–120Google Scholar
  6. Bates D (2011) Linear mixed model implementation in lme4. Available at:
  7. Bates D, Maechler M, Bolker B (2011) lme4: linear mixed-effects models using S4 classes. R package version 0999375-39Google Scholar
  8. Bignal EM, McCracken DI (1996) Low-intensity farming systems in the conservation of the countryside. J Appl Ecol 33:413–424CrossRefGoogle Scholar
  9. Borchert H, Graf R (1988) Zum Vergleich von Penetrometermessungen, durchgeführt bei unterschiedlichem Wassergehalt. Z Pflanzen Bodenk 151:69–71CrossRefGoogle Scholar
  10. Colmer TD (2003) Long-distance transport of gases in plants: a perspective on internal aeration and radial oxygen loss from roots. Plant Cell Environ 26:17–36CrossRefGoogle Scholar
  11. De Willigen P, Van Noordwijk M (1989) Model-calculation on the relative importance of internal longitudinal diffusion for aeration of roots of non-wetland plants. Plant Soil 113:111–119CrossRefGoogle Scholar
  12. Dierschke H, Wittig B (1991) Die Vegetation des Holtumer Moores (Nordwest-Deutschland). Veränderungen in 25 Jahren (1963–1988). Tuexenia 11:171–190Google Scholar
  13. Douma JC, Aerts R, Witte JPM, Bekker RM, Kunzmann D, Metselaar K, van Bodegom PM (2011) A combination of functionally different plant traits provides a means to quantitatively predict a broad range of species assemblages in NW Europe. Ecography 35:294–305Google Scholar
  14. Ellenberg H, Weber HE, Paulissen D, Werner W, Düll R (1992) Zeigerwerte von Pflanzen in Mitteleuropa. Scripta Geobotanica 18:1–248Google Scholar
  15. Elzenga JTM, van Veen H (2010) Waterlogging and plant nutrient uptake. In: Mancuso S, Shabala S (eds) Waterlogging, signalling and tolerance in plants. Springer-Verlag Berlin, HeidelbergGoogle Scholar
  16. Engelaar WMGH, Van Bruggen MW, Van Den Hoek WPM, Huyser MAH, Blom CWPM (1993) Root porosities and radial oxygen losses of rumex and plantago species as influenced by soil pore diameter and soil aeration. New Phytol 125:565–574CrossRefGoogle Scholar
  17. Fuller RM (1987) The changing extent and conservation interest of lowland grasslands in England and Wales: a review of grassland surveys 1930–1984. Biol Conserv 40:281–300CrossRefGoogle Scholar
  18. Gaudet CL, Keddy PA (1988) A comparative approach to predicting competitive ability from plant traits. Nature 334:242–243CrossRefGoogle Scholar
  19. Gerrard J (1982) The use of hand-operated soil penetrometers. Area 14:227–234Google Scholar
  20. Gotelli NJ, Ellison AM (2004) A primer of ecological statistics. Sinauer Associates Inc., SunderlandGoogle Scholar
  21. Hamza MA, Anderson WK (2005) Soil compaction in cropping systems—a review of the nature, causes and possible solutions. Soil Tillage Res 82:121–145CrossRefGoogle Scholar
  22. Henle K, Alard D, Clitherow J, Cobb P, Firbank L, Kull T, McCracken D, Moritz RFA, Niemela J, Rebane M, Wascher D, Watt A, Young J (2008) Identifying and managing the conflicts between agriculture and biodiversity conservation in Europe—a review. Agric Ecosyst Environ 124:60–71CrossRefGoogle Scholar
  23. Hoagland DR, Arnon DI (1950) The water-culture method for growing plants without soil. Circ. 347. Univ. of Calif. Agric. Station, BerkeleyGoogle Scholar
  24. Hooftman DAP, Bullock JM (2012) Mapping to inform conservation: a case study of changes in semi-natural habitats and their connectivity over 70 years. Biol Conserv 145:30–38CrossRefGoogle Scholar
  25. Huber H, Jacobs E, Visser EJW (2009) Variation in flooding-induced morphological traits in natural populations of white clover (Trifolium repens) and their effects on plant performance during soil flooding. Ann Bot 103:377–386PubMedCrossRefGoogle Scholar
  26. Huhta AP, Rautio P, Tuomi J, Laine K (2001) Restorative mowing on an abandoned semi-natural meadow: short-term and predicted long-term effects. J Veg Sci 12:677–686CrossRefGoogle Scholar
  27. Jackson MB, Armstrong W (1999) Formation of aerenchyma and the processes of plant ventilation in relation to soil flooding and submergence. Plant Biol 1:274–287CrossRefGoogle Scholar
  28. Jafarzadeh F (2006) Dynamic compaction method in physical model tests. Scientia Iranica 13:187–192Google Scholar
  29. Jensen LS, McQueen DJ, Shepherd TG (1996) Effects of soil compaction on N-mineralization and microbial-C and -N.1. Field measurements. Soil Tillage Res 38:175–188CrossRefGoogle Scholar
  30. Justin SHFW, Armstrong W (1987) The anatomical characteristics of roots and plant response to soil flooding. New Phytol 106:465–495CrossRefGoogle Scholar
  31. Kleyer M, Bekker RM, Knevel IC, Bakker JP, Thompson K, Sonnenschein M, Poschlod P, van Groenendael JM, Klimes L, Klimesova J, Klotz S, Rusch GM, Hermy M, Adriaens D, Boedeltje G, Bossuyt B, Dannemann A, Endels P, Gotzenberger L, Hodgson JG, Jackel AK, Kuhn I, Kunzmann D, Ozinga WA, Romermann C, Stadler M, Schlegelmilch J, Steendam HJ, Tackenberg O, Wilmann B, Cornelissen JHC, Eriksson O, Garnier E, Peco B (2008) The LEDA Traitbase: a database of life-history traits of the Northwest European flora. J Ecol 96:1266–1274CrossRefGoogle Scholar
  32. Knevel IC, Bekker RM, Bakker JP, Kleyer M (2003) Life-history traits of the northwest European flora: the LEDA database. J Veg Sci 14:611–614CrossRefGoogle Scholar
  33. Laanbroek HJ (1990) Bacterial cycling of minerals that affect plant growth in waterlogged soils—a review. Aquat Bot 38:109–125CrossRefGoogle Scholar
  34. Laughlin DC, Leppert JJ, Moore MM, Sieg CH (2010) A multi-trait test of the leaf-height-seed plant strategy scheme with 133 species from a pine forest flora. Funct Ecol 24:493–501CrossRefGoogle Scholar
  35. Lavorel S, Grigulis K, McIntyre S, Williams NSG, Garden D, Dorrough J, Berman S, Quetier F, Thebault A, Bonis A (2008) Assessing functional diversity in the field—methodology matters! Funct Ecol 22:134–147Google Scholar
  36. Lehsten V (2005) Functional analysis and modelling of vegetation—plant functional types in a mesocosmos experiment and a mechanistic model. University of Oldenburg, OldenburgGoogle Scholar
  37. Liira J, Issak M, Jogar U, Mandoja M, Zobel M (2009) Restoration management of a floodplain meadow and its cost-effectiveness—the results of a 6-year experiment. Ann Bot Fenn 46:397–408CrossRefGoogle Scholar
  38. Londo G (1976) Decimal scale for releves of permanent quadrats. Vegetatio 33:61–64CrossRefGoogle Scholar
  39. Nevens F, Reheul D (2003) The consequences of wheel-induced soil compaction and subsoiling for silage maize on a sandy loam soil in Belgium. Soil Tillage Res 70:175–184CrossRefGoogle Scholar
  40. Oksanen J, Kindt R, Legendre P, O‘Hara B, Simpson GL, Solymos P, Stevens MHH, Wagner H (2008) Vegan: community ecology package. R package version 115-1 Available at: http://cranr-projectorg/, http://veganr-forger-projectorg/
  41. Ponnamperuma FN (1984) Effect of flooding on soils. In: Koalowski TT (ed) Flooding and plant growth. Academic, New York, pp 9–45Google Scholar
  42. Quested H, Eriksson O, Fortunel C, Garnier E (2007) Plant traits relate to whole-community litter quality and decomposition following land use change. Funct Ecol 21:1016–1026CrossRefGoogle Scholar
  43. Rasiah V, Kay BD (1998) Legume N mineralization: effect of aeration and size distribution of water-filled pores. Soil Biol Biochem 30:89–96CrossRefGoogle Scholar
  44. RDCT (2008) R: a language and environment for statistical computingGoogle Scholar
  45. Ryser P, Urbas P (2000) Ecological significance of leaf life span among Central European grass species. Oikos 91:41–50CrossRefGoogle Scholar
  46. Shipley B (2006) Net assimilation rate, specific leaf area and leaf mass ratio: which is most closely correlated with relative growth rate? A meta-analysis. Funct Ecol 20:565–574CrossRefGoogle Scholar
  47. Soane BD, Dickson JW, Cambell DJ (1982) Compaction by agricultural vehicles: a review. Soil Tillage Res 2:2–36CrossRefGoogle Scholar
  48. Striker GG, Insausti P, Grimoldi AA, Vega AS (2007) Trade-off between root porosity and mechanical strength in species with different types of aerenchyma. Plant Cell Environ 30:580–589PubMedCrossRefGoogle Scholar
  49. Strykstra RJ, Verweij GL, Bakker JP (1997) Seed dispersal by mowing machinery in a Dutch brook valley system. Acta Botanica Neerlandica 46:387–401Google Scholar
  50. Tilman D (1988) Plant strategies and the dynamics and structure of plant communities. Princeton University PressGoogle Scholar
  51. van Bochove E, Beauchemin S, Theriault G (2002) Continuous multiple measurement of soil redox potential using platinum microelectrodes. Soil Sci Soc Am J 66:1813–1820CrossRefGoogle Scholar
  52. Van Straalen NM, Rijninks PC (1982) The efficiency of Tullgren apparatus with respect to interpreting seasonal-changes in age structure of soil arthropod populations. Pedobiologia 24:197–209Google Scholar
  53. Vartapetian BB, Jackson MB (1997) Plant adaptations to anaerobic stress. Ann Bot 79:3–20CrossRefGoogle Scholar
  54. Visser EJW, Bogemann GM (2003) Measurement of porosity in very small samples of plant tissue. Plant Soil 253:81–90CrossRefGoogle Scholar
  55. von Kutschera L, Lichtenegger E, Sobotik M (1982) Wurzelatlas mitteleuropaischer Grundlandpflanzen. G. Fischer Verlag, New YorkGoogle Scholar
  56. Voorhees WB, Evans SD, Warnes DD (1985) Effect of preplant wheel traffic on soil compaction, water use, and growth of spring wheat. Soil Sci Soc Am J 49:215–220CrossRefGoogle Scholar
  57. Walker KJ, Stevens PA, Stevens DP, Mountford JO, Manchester SJ, Pywell RF (2004) The restoration and re-creation of species-rich lowland grassland on land formerly managed for intensive agriculture in the UK. Biol Conserv 119:1–18CrossRefGoogle Scholar
  58. Wallin L, Svensson BM, Lonn M (2009) Artificial dispersal as a restoration tool in meadows: sowing or planting? Restor Ecol 17:270–279CrossRefGoogle Scholar
  59. Weiher E, van der Werf A, Thompson K, Roderick M, Garnier E, Eriksson O (1999) Challenging theophrastus: a common core list of plant traits for functional ecology. J Veg Sci 10:609–620CrossRefGoogle Scholar
  60. Westoby M, Wright IJ (2006) Land-plant ecology on the basis of functional traits. Trends Ecol Evol 21:261–268PubMedCrossRefGoogle Scholar
  61. Wiengweera A, Greenway H, Thomson CJ (1997) The use of agar nutrient solution to simulate lack of convection in waterlogged soils. Ann Bot 80:115–123CrossRefGoogle Scholar
  62. Wilson PJ, Thompson K, Hodgson JG (1999) Specific leaf area and leaf dry matter content as alternative predictors of plant strategies. New Phytol 143:155–162CrossRefGoogle Scholar
  63. Wright IJ, Reich PB, Westoby M (2001) Strategy shifts in leaf physiology, structure and nutrient content between species of high- and low-rainfall and high- and low-nutrient habitats. Funct Ecol 15:423–434CrossRefGoogle Scholar
  64. Wright IJ, Reich PB, Westoby M, Ackerly DD, Baruch Z, Bongers F, Cavender-Bares J, Chapin T, Cornelissen JHC, Diemer M, Flexas J, Garnier E, Groom PK, Gulias J, Hikosaka K, Lamont BB, Lee T, Lee W, Lusk C, Midgley JJ, Navas ML, Niinemets U, Oleksyn J, Osada N, Poorter H, Poot P, Prior L, Pyankov VI, Roumet C, Thomas SC, Tjoelker MG, Veneklaas EJ, Villar R (2004) The worldwide leaf economics spectrum. Nature 428:821–827PubMedCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  • Maarten J. J. Schrama
    • 1
  • Verena Cordlandwehr
    • 1
    • 3
  • Eric J. W. Visser
    • 2
  • Theo M. Elzenga
    • 1
  • Yzaak de Vries
    • 1
  • Jan P. Bakker
    • 1
  1. 1.Centre for Ecological and Evolutionary StudiesUniversity of GroningenGroningenThe Netherlands
  2. 2.Department of Experimental Plant Ecology, Institute for Water and Wetland ResearchRadboud University NijmegenNijmegenThe Netherlands
  3. 3.Department of Biology and Environmental SciencesUniversity of OldenburgOldenburgGermany

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