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Soil biological indicators and caesium-137 to estimate soil erosion in areas with different forest system management

  • Romeo Federico
  • Porto Paolo
  • Keiblinger Katharina
  • Mentler Axel
  • Muscolo AdeleEmail author
Original Paper
  • 10 Downloads

Abstract

In this study, the effects of innovative and traditional thinning on soil properties with respect to unmanaged forest were assessed with the aim to individuate early warning indicators of soil erosion for identifying the most appropriate forestry practices to sustainably manage an Italian beech (Fagus sylvatica) forest. Soil organic carbon (OC), microbial biomass C (MBC), ergosterol (ERG), humification rate, water-soluble phenols (WSP), fluorescein diacetate (FDA) hydrolysis, dehydrogenase (DHA) and catalase activities (CAT), ultrasonic aggregate stability and 137Cs were detected to asses soil health and erosion magnitude. The aim was to correlate 137Cs, as a basic indicator of soil erosion rate, with soil aggregate stability and biological activity parameters. 137Cs results evidenced that both thinning treatments affected soil properties. The innovative treatment showed the highest impact. The amount of small-sized particles enhanced when the intensity of thinning increased. A strong decrease in soil OC was related to thinning. In the upper soil layer, OC was found positively correlated with MBC, FDA, WSP, ERG, C/N, N and also with 137Cs. Moderate to no correlations, in the subsurface layer, highlighted the immediate impact of management techniques on the surface layer and then on the underlying ones. In the subsurface layer, OC maintained its positive correlation only with MBC, WSP and 137Cs. 137Cs was correlated in both soil layers with OC, N and WSP. The overall results suggest that the latter parameters may be considered as indicators of soil erosion. More specifically, WSP can be used, even in the case of the absence of 137Cs in the sediment, to evidence changes in soil properties that could be the starting point of soil fertility loss.

Keywords

Aggregate stability Biological indicators Caesium-137 Erosion Fagus sylvatica Forest management 

Notes

Acknowledgements

This study has been finalized to support the IAEA Coordinated Research Project (CRP) on “Nuclear techniques for a better understanding of the impact of climate change on soil erosion in upland agro-ecosystems” (D1.50.17). The fellowship of PhD student abroad was financed by Doctoral scholarship XXXII ° cycle of Mediterranea University of Reggio Calabria (UNIRC). Thanks to Astrid Hobel and Carmelo Mallamaci for their valuable support in the laboratory. We also thank, for allowing us access to the study area, the forest police of the territorial biodiversity office (UTB) “Villa Vittoria” of Mongiana (VV). This study has also been finalized in the frame of Erasmus + KA2 - cooperation for innovation and the exchange of good practices - Capacity Building in the field of Higher Universities of Western Balkan Countries/SETOF.

References

  1. Adam G, Duncan H (2001) Development of a sensitive and rapid method for the measurement of total microbial activity using fluorescein diacetate (FDA) in a range of soils. Soil Biol Biochem 33:943–951CrossRefGoogle Scholar
  2. Altieri V, De Franco S, Lombardi F, Marziliano PA, Menguzzato G, Porto P (2018) The role of silvicultural systems and forest types in preventing soil erosion processes in mountain forests. A methodological approach using Caesium-137 measurements. J Soils Sedim.  https://doi.org/10.1007/s11368-018-1957-8 Google Scholar
  3. Anache JAA, Wendland EC, Oliveira PTS, Flanagan DN, Nearing MA (2017) Runoff and soil erosion plot-scale studies under natural rainfall: a meta-analysis of the Brazilian experience. CATENA 152:29–39CrossRefGoogle Scholar
  4. Balboa-Murias MA, Rodríguez-Soalleiro R, Merino A, Álvarez-González JG (2006) Temporal variations and distribution of carbon stocks in aboveground biomass of radiate pine and maritime pine pure stands under different silvicultural alternatives. For Ecol Manag 237:29–38CrossRefGoogle Scholar
  5. Beaumont F, Jouve HM, Gagnon J, Gillard J, Pelmont J (1990) Purification and properties of a catalase from potato tubers (Solanum tuberosum). Plant Sci 72:19–26CrossRefGoogle Scholar
  6. Becagli C, Puletti N, Chiavetta U, Cantiani P, Salvati L, Fabbio G (2013) Early impact of alternative thinning approaches on structure diversity and complexity at stand level in two beech forests in Italy. Ann Silv Res 37:55–63Google Scholar
  7. Bouyoucos GJ (1962) Hydrometer method improved for making particle-size analyses of soils. Agron J 54:464–465CrossRefGoogle Scholar
  8. Box JD (1983) Investigation of the Folin-Ciocalteau reagent for the determination of polyphenolic substances in natural waters. Water Res 17:511–525CrossRefGoogle Scholar
  9. Brandstetter A, Sletten RS, Mentler A, Wenzel WW (1996) Estimating dissolved organic carbon in natural waters by UV absorbance (254 nm). J Plant Nutr Soil Sci 159:605–607.  https://doi.org/10.1002/jpln.1996.3581590612 Google Scholar
  10. Conforti M, Froio R, Matteucci G, Buttafuoco G (2015) Visible and near infrared spectroscopy for predicting texture in forest soil: an application in Southern Italy. iForest 8:339–347.  https://doi.org/10.3832/ifor1221-007 CrossRefGoogle Scholar
  11. Crank J (1975) The mathematics of diffusion, 2nd edn. Clarendon Press, Oxford, p 414Google Scholar
  12. De Roo APJ, Wesseling CG, Ritsema CJ (1996) LISEM: a single-event physically based hydrological and soil erosion model for drainage basins: I. Theory, input and output. Hydrol Process 10:1107–1117CrossRefGoogle Scholar
  13. Di Stefano C, Ferro V, Porto P, Rizzo S (2005) Testing a spatially distributed sediment delivery model (SEDD) in a forested basin by caesium-137 technique. J Soil Water Conserv 60(3):148–157Google Scholar
  14. Fredericksen TS, Putz FE (2003) Silvicultural intensification for tropical forest conservation. Biodivers Conserv 12:1445–1453CrossRefGoogle Scholar
  15. Gamfeldt L, Snäll T, Bagchi R, Jonsson M, Gustafsson L, Kjellander P, Ruiz-Jaen MC, Fröberg M, Stendah J, Philipson CD, Mikusiński G, Andersson E, Westerlund B, Andrén H, Moberg F, Moen J, Bengtsson J (2013) Higher levels of multiple ecosystem services are found in forests with more tree species. Nat Commun.  https://doi.org/10.1038/ncomms2328 Google Scholar
  16. Gong P, Guan X, Witter E (2001) A rapid method to extract ergosterol from soil by physical disruption. Appl Soil Ecol 17:285–289CrossRefGoogle Scholar
  17. Hammer Ø, Harper DAT, Ryan PD (2001) PAST: paleontological statistics software package for education and data analysis. Palaeontol Electron 4:9Google Scholar
  18. Hsieh YP, Grant KT, Bugna GC (2009) A field method for soil erosion measurements in agricultural and natural lands. J Soil Water Conserv 64(6):374–382CrossRefGoogle Scholar
  19. Johnson DW (1992) Effects of forest management on soil carbon storage. Water Air Soil Pollut 64:83–120CrossRefGoogle Scholar
  20. Kjeldalh J (1883) Neue methode zurestimmung des stickstoffs in organischen körpen. Zh Anal Chem 22:366–382CrossRefGoogle Scholar
  21. Köppen W (1936) Das geographische System der Klimate [The geographic system of climates]. In: Geiger R (ed) “Handbuch der Klimatologie” (Köppen W. Gebrüder Borntraeger, Berlin, pp 1–44Google Scholar
  22. Li R, Yang H, Tang X, Wu C, Du M (2004) Distribution of 137Cs and organic carbon in particle size fractions in an alumi-haplic acrisol of Southern China. Soil Sci 169(5):374–384CrossRefGoogle Scholar
  23. Liang BC, Mackenzie AF, Schnitzer M, Monreal CM, Voroney PR, Beyaert RP (1997) Management-induced change in labile soil organic matter under continuous corn in eastern Canadian soils. Biol Fertil Soils 26:88–94CrossRefGoogle Scholar
  24. Mayer H, Mentler A, Papakyriacou M, Rampazzo N, Marxer Y, Blum WEH (2002) Influence of vibration amplitude on ultrasonic dispersion of soils. Int Agrophys 16(1):53–60Google Scholar
  25. Mentler A (2001) Methodological aspects of ultrasonic dispersion of soil aggregates. COST 832: quantifying the agricultural contribution to eutrophication—minutes of the 3rd meeting of working group 1: ‘phosphorus inputs from agriculture’, p 16. University of Rostock, Germany, pp 22–24Google Scholar
  26. Mentler A, Mayer H, Strauß P, Blum WEH (2004) Characterization of soil aggregate stability by ultrasonic dispersion. Int Agrophys 18:39–45Google Scholar
  27. Ministero delle Risorse Agricole, Alimentari e Forestali (1994) Metodi Ufficiali di Analisi Chimica del Suolo. ISMEA, RomaGoogle Scholar
  28. Morgan RPC, Quinton JN, Rickson RJ (1992) Eurosem documentation manual. Silsoe College, Silsoe, p 34Google Scholar
  29. Muscolo A, Panuccio MR, Mallamaci C, Sidari M (2014) Biological indicators to assess short-term soil quality changes in forest ecosystems. Ecol Indic 45:416–423CrossRefGoogle Scholar
  30. Muscolo A, Settineri G, Attinà E (2015) Early warning indicators of changes in soil ecosystem functioning. Ecol Ind 48:542–549CrossRefGoogle Scholar
  31. Neary DG, Klopatek C, DeBano LF, Ffolliott PF (1999) Fire effects on belowground sustainability: a review and synthesis. For Ecol Manag 122:51–71CrossRefGoogle Scholar
  32. Nelson DW, Sommers LE (1982) Total carbon, organic carbon, and organic matter. In: Page AL (ed) Methods of soil analysis. Part 2, 2nd edn. Agronomy monograph 9. American Society of Agronomy and Soil Science Society of America. Madison, Wisconsin, pp 539–594Google Scholar
  33. Nilsen P, Strand LT (2008) Thinning intensity effects on carbon and nitrogen stores and fluxes in a Norway Spruce (Picea abies (L.) Karst.) stand after 33 years. For Ecol Manag 256:201–208CrossRefGoogle Scholar
  34. Ojea E, Martin-Ortega J, Chiabai A (2012) Defining and classifying ecosystem services for economic evaluation: the case of forest water services. Environ Sci Pol 19–20:1–15CrossRefGoogle Scholar
  35. ON L 1080-99 (1999) Chemical analyses of soils—determination of organic carbon by dry combustion. Austrian Standard Institute, Wien, pp 1–5Google Scholar
  36. Picchio R, Spina R, Calienno L, Venanzi R, Lo Monaco A (2016) Forest operations for implementing silvicultural treatments for multiple purposes. Int J Agron 11:156–161Google Scholar
  37. Porto P, Walling DE (2012) Using plot experiments to test the validity of mass balance models employed to estimate soil redistribution rates from 137Cs and 210Pbex measurements. Appl Radiat Isot 70:2451–2459CrossRefGoogle Scholar
  38. Porto P, Walling DE, Ferro V (2001) Validating the use of caesium-137 measurements to estimate soil erosion rates in a small drainage basin in Calabria, southern Italy. J Hydrol 248:93–108CrossRefGoogle Scholar
  39. Porto P, Walling DE, Ferro V, Di Stefano C (2003) Validating erosion rate estimates by caesium-137 measurements for two small forested catchments in Calabria, Southern Italy. Land Degrad Dev 14:389–408CrossRefGoogle Scholar
  40. Porto P, Walling DE, Callegari G (2004) Validating the use of caesium-137 measurements to estimate erosion rates in three small catchments in Southern Italy. IAHS Publ 288:75–83Google Scholar
  41. Porto P, Walling DE, Callegari G (2009) Investigating the effects of afforestation on soil erosion and sediment mobilisation in two small catchments in Southern Italy. CATENA 79:181–188CrossRefGoogle Scholar
  42. Porto P, Walling DE, La Spada C, Callegari G (2016) Validating the use of 137Cs measurements to derive the slope component of the sediment budget of a small catchment in southern Italy. Land Degrad Dev 27:798–810CrossRefGoogle Scholar
  43. IBM Corp. Released (2012) IBM SPSS statistics for windows, version 21.0. IBM Corp, Armonk, NYGoogle Scholar
  44. Renard KG, Freimund JR (1994) Using monthly precipitation data to estimate the R-factor in the revised USLE. J Hydrol 157:287–306CrossRefGoogle Scholar
  45. Settineri G, Mallamaci C, Mitrović M, Sidari M, Muscolo A (2018) Effects of different thinning intensities on soil carbon storage in Pinus laricio forest of Apennine South Italy. Eur J For Res 137:131–141CrossRefGoogle Scholar
  46. Sidari M, Muscolo A, Cianci V, Attinà E, Vecchio G, Zaffina F (2005) Evoluzione della sostanza organica in suoli rappresentativi dell’Altopiano della Sila. Forest@ 2(3):296–305CrossRefGoogle Scholar
  47. Soil Survey Staff (2010) Keys to soil taxonomy, 11th edn. Natural Resources Conservation Service, USDA, Washington, DC, USA, p 338. http://www.nrcs.usda.gov/Internet/FSE_DOCUMENTS/nrcs142p2_050915.pdf
  48. Sorriso-Valvo M, Bryan RB, Yair A, Iovino F, Antronico L (1995) Impact of afforestation on hydrological response and sediment production in a small Calabrian catchment. CATENA 25:89–104CrossRefGoogle Scholar
  49. Stephens SL, Moghaddas JJ (2005) Silvicultural and reserve impacts on potential fire behaviour and forest conservation: 25 years of experience from Sierra Nevada mixed conifer forests. Biol Conserv 25:369–379CrossRefGoogle Scholar
  50. Stott T, Leeks G, Marks S, Sawyer A (2001) Environmentally sensitive plot-scale timber harvesting: impact on suspended sediment. Bedload and bank erosion dynamics. J Environ Manag 63:3–25CrossRefGoogle Scholar
  51. Sutherland RA (1996) Caesium-137 soil sampling and inventory variability in reference locations: a literature survey. Hydrol Process 10:43–53CrossRefGoogle Scholar
  52. Swanston DN, Swanson FJ (1976) Timber harvesting, mass erosion, and steepland forest geomorphology in the Pacific Northwest. In: Coats DR (ed) Geomorphology and engineering. Dowden, Hutchinson and Ross, Stroudsburg, pp 199–221Google Scholar
  53. Teramage MT, Onda Y, Kato H, Wakiyama Y, Mizugaki S, Hiramats S (2013) The relationship of soil organic carbon to 210Pbex and 137Cs during surface soil erosion in a hillslope forested environment. Geoderma 192:59–67CrossRefGoogle Scholar
  54. Van Oost K, Govers G, Quine TA, Heckrath G, Olesen JE, De Gryze S, Merckx R (2005) Landscape-scale modeling of carbon cycling under the impact of soil redistribution: the role of tillage erosion. Glob Biogeochem Cycles 19:GB4014.  https://doi.org/10.1029/2005gb002471 Google Scholar
  55. Vance ED, Brookes PC, Jenkinson DS (1987) An extraction method for measuring soil microbial biomass C. Soil Biol Biochem 19:703–707CrossRefGoogle Scholar
  56. von Mersi W, Schinner F (1991) An improved and accurate method for determining the dehydrogenase activity of soils with iodonitrotetrazolium chloride. Biol Fertil Soils 11:216–220CrossRefGoogle Scholar
  57. Walkley A, Black IA (1934) An examination of the Degtjareff method for determining soil organic matter and a proposed modification of the chromic acid titration method. Soil Sci 37:29–38CrossRefGoogle Scholar
  58. Walling DE (1998) Use of 137Cs and other fallout radionuclides in soil erosion investigations: progress, problems and prospects, use of 137Cs in the study of soil erosion and sedimentation rep. IAEATECDOC-1028:39–62. Int At Energy Agency, ViennaGoogle Scholar
  59. Zhang JH, Liu SZ, Zhong XH (2006) Distribution of soil organic carbon and phosphorus on an eroded hillslope of the rangeland in the northern Tibet Plateau, China. Eur J Soil Sci 57(3):365–371CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Dipartimento di AgrariaUniversità MediterraneaReggio CalabriaItaly
  2. 2.CNR– Istituto per i Sistemi Agrari e Forestali per il MediterraneoRendeItaly
  3. 3.Department of Forest and Soil Sciences, Institute of Soil ResearchBOKU University of Natural Resources and Life Sciences ViennaViennaAustria

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