Plant and Soil

, Volume 390, Issue 1–2, pp 95–109 | Cite as

Assessment of multi-scale soil-plant interactions in a poplar plantation using geostatistical data fusion techniques: relationships to soil respiration

  • Chiara Ferré
  • Annamaria Castrignanò
  • Roberto Comolli
Regular Article

Abstract

Background and aims

An adequate sampling strategy for the estimation of soil respiration depends on spatial heterogeneity in soil and plant characteristics. The objective of this work was the assessment of the spatial soil-plant interactions to define a sampling strategy of soil CO2 efflux.

Methods

In a long-term poplar plantation in Italy, a joint analysis of spatial variability of soil and plant properties was performed using geostatistical data fusion techniques. Soil samples were collected at 64 points and analyzed for pH, organic carbon, nitrogen, available phosphorous and texture. Trunk diameter was measured for 446 trees.

Results

The analysis of the whole data set (soil and plant properties) revealed the presence of three main scales of variation: a nugget effect (micro-scale), 30 and 100 m.

Most spatial variation (71 %) was observed at the longer range scale; soil spatial variability was reflected in the differences in plant growth and affected soil CO2 emissions significantly.

Conclusions

The joint analysis of soil and plant properties allowed to model their spatial scale-dependent relationships. A map of a synthetic indicator of joint soil-plant variation can be used to choose the most representative plots for soil respiration monitoring.

Keywords

Long-term poplar plantation Spatial variability Soil-plant relationship Geostatistics Data fusion Soil respiration 

Supplementary material

11104_2014_2368_MOESM1_ESM.tif (152 kb)
High Resolution Image (TIFF 151 kb)
11104_2014_2368_MOESM2_ESM.doc (166 kb)
ESM 1(DOC 166 kb)

References

  1. Adachi M, Bekku YS, Konuma A, Kadir WR, Okuda T, Koizumi H (2005) Required sample size for estimating soil respiration rates in large areas of two tropical forests and of two types of plantation in Malaysia. For Ecol Manag 210:445–459CrossRefGoogle Scholar
  2. Bocchi S, Castrignanò A, Fornaro F, Maggiore T (2000) Application of factorial kriging for mapping soil variation at field scale. Eur J Agron 13:295–308CrossRefGoogle Scholar
  3. Bourennane H, Nicoullaud B, Couturier A, King D (2004) Exploring the spatial relationships between some soil properties and wheat yields in two soil types. Precis Agric 5:521–536CrossRefGoogle Scholar
  4. Burrough PA (1986) Principles of geographic information systems for land resources assessment. Clarendon, OxfordGoogle Scholar
  5. Burt R (ed) (2004) Soil survey laboratory methods manual. SSIR No 42, US Government Printing Office, WashingtonGoogle Scholar
  6. Casa R, Castrignanò A (2008) Analysis of spatial relationships between soil and crop variables in a durum wheat field using a multivariate geostatistical approach. Eur J Agron 28:331–342CrossRefGoogle Scholar
  7. Castrignanò A, Giugliarini L, Risaliti R, Martinelli N (2000) Study of spatial relationships among some soil physico-chemical properties of a field in central Italy using multivariate geostatistics. Geoderma 97:39–60CrossRefGoogle Scholar
  8. Castrignanò A, Costantini EAC, Barbetti R, Sollitto D (2009) Accounting for extensive topographic and pedologic secondary information to improve soil mapping. Catena 77:28–38CrossRefGoogle Scholar
  9. Charlton R (2008) Fundamentals of fluvial geomorphology. Routledge, New YorkCrossRefGoogle Scholar
  10. Chen W, Zhang Q, Cihlar J, Bauhus J, Price DT (2004) Estimating fine-root biomass and production of boreal and cool temperate forests using aboveground measurements: a new approach. Plant Soil 265:31–46CrossRefGoogle Scholar
  11. Chen G, Yang Y, Guo J, Xie J, Yanf Z (2011) Relationships between carbon allocation and partitioning of soil respiration across world mature forests. Plant Ecol 212:195–206CrossRefGoogle Scholar
  12. Chiles JP, Delfiner P (1999) Discrete exact simulation by the Fourier method. In: Geostatistics Wollongong 96, Proceedings of the Fifth International Geostatistics Congress, Wollongong, Australia, pp 258–269Google Scholar
  13. Chojnacky DC, Heath LS, Jenkins JC (2014) Updated generalized biomass equations for North American tree species. Forestry 87:129–151CrossRefGoogle Scholar
  14. Coûteau MM, Bottner P, Berg B (1995) Litter decomposition climate and litter quality. Trends Ecol Evol 10:63–66CrossRefGoogle Scholar
  15. Epron D, Farque L, Lucot E, Badot PM (1999) Soil CO2 efflux in a beech forest: dependence on soil temperature and soil water content. Ann For Sci 56:221–226CrossRefGoogle Scholar
  16. Ferré C, Leip A, Matteucci G, Previtali F, Seufert G (2005) Impact of 40 years poplar cultivation on soil carbon stocks and greenhouse gas fluxes. Biogeosci Discuss 2:897–931CrossRefGoogle Scholar
  17. Ferré C, Zenone T, Comolli R, Seufert G (2012) Estimating heterotrophic and autotrophic soil respiration in a semi-natural forest of Lombardy, Italy. Pedobiologia 55:285–294CrossRefGoogle Scholar
  18. Ferré C, Comolli R, Leip A, Seufert G (2014) Forest conversion to poplar plantation in a Lombardy floodplain (Italy): effects on soil organic carbon stock. Biogeosciences 11:6483–6493. doi:10.5194/bg-11-6483-2014
  19. Golchin A, Oades JM, Skjemstad JO, Clarke P (1994) Study of free and occluded organic matter in soils by 13C CP/MAS NMR spectroscopy and scanning electron microscopy. Aust J Soil Res 32:285–309CrossRefGoogle Scholar
  20. Goovaerts P (1997) Geostatistics for natural resources evaluation. Oxford Univ Press, New YorkGoogle Scholar
  21. Goovaerts P, Webster R (1994) Scale-dependent correlation between topsoil copper and cobalt concentrations in Scotland. Eur J Soil Sci 45:79–95CrossRefGoogle Scholar
  22. Houghton RA, Woodwell GM (1989) Global climatic change. Sci Am 260:36–44CrossRefGoogle Scholar
  23. IUSS Working Group WRB (2007) World Reference Base for soil resources 2006, first update 2007. World Soil Resources Reports 103, FAO, RomeGoogle Scholar
  24. Jackson RB, Manwaring JH, Caldwell MM (1990) Rapid physiological adjustment of roots to localized soil enrichment. Nature 344:58–60CrossRefPubMedGoogle Scholar
  25. Journel AG, Huijbregts CJ (1978) Mining geostatistics. Academic, LondonGoogle Scholar
  26. Lajaunie C, Béhaxétéguy JP (1989) Elaboration d’un programme d’ajustement semiautomatique d’un modèle de corégionalisation. Theorie technical report N21/89/G, ENSMP, ParisGoogle Scholar
  27. Luo Y, Zhou X (2006) Soil respiration and the environment. Academic, San Diego, CaliforniaGoogle Scholar
  28. Maestre FT, Cortina J (2003) Small-scale spatial variation of soil CO2 efflux in a Mediterranean semiarid steppe. Appl Soil Ecol 23:199–209CrossRefGoogle Scholar
  29. Matheron G (1982) Pour une analyse krigeante des donnees regionalisées. Technical Report No 732, Centre de Geostatistique, FontainebleauGoogle Scholar
  30. Metcalfe DB, Fisher RA, Wardle DA (2011) Plant communities as drivers of soil respiration: pathways mechanisms and significance for global change. Biogeosciences 8:2047–2061CrossRefGoogle Scholar
  31. Motta R, Nola P, Berretti R (2009) The rise and fall of the black locust (Robinia pseudoacacia L) in the “Siro Negri” forest reserve (Lombardy, Italy): lessons learned and future uncertainties. Ann For Sci 66:410CrossRefGoogle Scholar
  32. Olsen SR, Cole CV, Watanabe FS, Dean LA (1954) Estimation of available phosphorus in soils by extraction with sodium bicarbonate. USDA Circular 939, US Government Printing Office, WashingtonGoogle Scholar
  33. Perron J-Y (1996) Inventaire forestier. In: Ordre des ingénieurs forestiers du Québec (ed) Manuel de foresterie. Les Presses de l’Université, Ste-Foy, Québec, pp 390–473Google Scholar
  34. Pringle MJ, McBratney AB, Cook SE (2004) Field-scale experiments for site-specific crop management - Part II -Geostatistical analysis. Precis Agric 5:625–645CrossRefGoogle Scholar
  35. Raich JW, Schlesinger WH (1992) The global carbon dioxide flux in soil respiration and its relationship to vegetation and climate. Tellus 44B:81–99CrossRefGoogle Scholar
  36. Rivoirard J (2001) Which models for collocated cokriging? Math Geol 33:117–131CrossRefGoogle Scholar
  37. Rodeghiero M, Cescatti A (2005) Main determinants of forest soil respiration along an elevation/temperature gradient in the Italian Alps. Glob Chang Biol 11:1024–1041CrossRefGoogle Scholar
  38. Rodeghiero M, Cescatti A (2008) Spatial variability and optimal sampling strategy of soil respiration. For Ecol Manag 255:106–112CrossRefGoogle Scholar
  39. Rubio A, Escudero A (2000) Small-scale spatial soil-plant relationship in semi-arid gypsum environments. Plant Soil 220:139–150CrossRefGoogle Scholar
  40. Ryan MG, Hubbard RM, Pongracic S, Raison RJ, McMurtrie RE (1996) Foliage fine-root woody-tissue and stand respiration in Pinus radiata in relation to nitrogen status. Tree Physiol 16:333–343CrossRefPubMedGoogle Scholar
  41. Saiz G, Green C, Butterbach-Bahl K, Kiese R, Avitabile V, Farrell EP (2006) Seasonal and spatial variability of soil respiration in four Sitka spruce stands. Plant Soil 287:161–176CrossRefGoogle Scholar
  42. Stewart CM, McBratney AB, Skerritt JH (2002) Site-specific durum wheat quality and its relationship to soil properties in a single field in Northern New South Wales. Precis Agric 3:155–168CrossRefGoogle Scholar
  43. Stoyan H, De-Polli H, Bhom S, Robertson GP, Paul EA (2000) Spatial heterogeneity of soil respiration and related properties at the plant scale. Plant Soil 222:203–214CrossRefGoogle Scholar
  44. Subke J-A, Inglima I, Cotrufo MF (2006) Trends and methodological impacts in soil CO2 efflux partitioning: a meta-analytical review. Glob Chang Biol 12:921–943CrossRefGoogle Scholar
  45. Subke J-A, Voke N, Leronni V, Garnett M, Ineson P (2011) Dynamics and pathways of autotrophic and heterotrophic soil CO2 efflux revealed by forest girdling. J Ecol 99:186–193CrossRefGoogle Scholar
  46. Taylor CC, Burrough PA (1986) Multiscale sources of spatial variation in soil: improved methods for fitting the nested model to one-dimensional variograms. Math Geol 18:811–821CrossRefGoogle Scholar
  47. Tomaselli R, Gentile S (1971) La riserva naturale integrale “Bosco Siro Negri” dell’Università di Pavia. Atti Ist Lab Critt Univ Pavia 7:41–70Google Scholar
  48. Truax B, Cagnon D, Fortier J, Lambert F (2012) Yield in 8 year-old hybrid poplar plantations on abandoned farmland along a climatic and soil fertility gradients. For Ecol Manag 267:228–239CrossRefGoogle Scholar
  49. Verwijst T, Telenius B (1999) Biomass estimation procedures in short rotation forestry. For Ecol Manag 121:137–146CrossRefGoogle Scholar
  50. Wackernagel H (2003) Multivariate geostatistics: an introduction with applications, 3rd edn. Springer Verlag, BerlinCrossRefGoogle Scholar
  51. Webster R, Oliver MA (2003) Geostatistics for environmental scientists. Wiley, Chichester, EnglandGoogle Scholar
  52. Werner C, Haas E, Grote R, Gauder M, Graeff-Hönninger S, Claupein W, Butterbach-Bahl K (2012) Biomass production potential from Populus short rotation systems in Romania. Glob Chang Biol Bioenergy 4:642–653CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Chiara Ferré
    • 1
  • Annamaria Castrignanò
    • 2
  • Roberto Comolli
    • 1
  1. 1.Department of Earth and Environmental SciencesMilano Bicocca UniversityMilanItaly
  2. 2.CRA-SCA Consiglio per la Ricerca e la Sperimentazione in Agricoltura - Unit for Cropping Systems in Dry EnvironmentsBariItaly

Personalised recommendations