Advertisement

Plant and Soil

, Volume 443, Issue 1–2, pp 369–386 | Cite as

Dynamics of erosion processes in the tropics: a dendrogeomorphological approach in an Ultisol of southeastern Brazil

  • Renata Cristina Bovi
  • Marcelo Pablo Chartier
  • Fidel Alejandro Roig
  • Mario Tomazello Filho
  • Virginia Dominguez Castillo
  • Miguel CooperEmail author
Regular Article
  • 165 Downloads

Abstract

Background and aims

Soil erosion is one of the degradation processes that historically has caused great impacts on agricultural activities and the environment. It is responsible for soil loss, reduced productivity and various environmental impacts. Given the importance of research related to understanding the soil erosion process, the dendrogeomorphology technique has a significant role in qualifying and quantifying this degradation process. It is a technique that uses the structure of the root and stem wood of trees affected by erosion processes to date these events and measure the rate of soil loss. The objective of this study was to understand the dynamics of the erosion process through the dendrogeomorphological approach.

Methods

The changes in growth pattern of exposed roots of Esenbeckia leiocarpa trees (guarantã) were studied, such as growth ring width, eccentricity, vessel frequency and scars.

Results

The results obtained demonstrated the potential of the species for dendrogeomorphological studies, since the changes in growth patterns after exposure allowed to date the first year of root exposition.

Conclusions

The dendrogeomorphology technique proved to be effective in understanding the process dynamics of complex systems, such as the opening of permanent and ephemeral gullies. In addition, it is effective in inferring soil loss rates.

Keywords

Exposed root Dating Dendrochronology Piping Gully 

Notes

Acknowledgments

The authors thank the National Council for Scientific and Technological Development (CNPq) for a graduate scholarship, fellowship and financing of the project. They also thank Jonathan Barichivich for the help in preparing the software scripts used in this paper and the reviewers for the valuable suggestions and comments that permitted to improve the manuscript.

Supplementary material

11104_2019_4227_MOESM1_ESM.docx (562 kb)
ESM 1 (DOCX 561 kb)

References

  1. Alvares CA, Stape JL, Sentelhas PC, Gonçalves JLM (2013b) Modeling monthly mean air temperature for Brazil. Theor Appl Climatol 113(3–4):407–427.  https://doi.org/10.1007/s00704-012-0796-6 CrossRefGoogle Scholar
  2. Alvares CA, Stape JL, Sentelhas PC, Gonçalves JLM, Spavorek G (2013a) Köppen’s climate classification map for Brazil. Meteorol Z 22(6):711–728.  https://doi.org/10.1127/0941-2948/2013/0507 CrossRefGoogle Scholar
  3. Ballesteros-Cánovas JA, Bodoque JM, Lucía A, Martín-Duque JF, Díez-Herrero A, Ruiz-Villanueva V, Rubiales JM, Genova M (2013) Dendrogeomorphology in badlands: methods, case studies and prospects. Catena 106:113–122.  https://doi.org/10.1016/j.catena.2012.08.009 CrossRefGoogle Scholar
  4. Bodoque JM, Lucía A, Ballesteros JA, Martín-Duque JF, Rubiales JM, Genova M (2011) Measuring medium-term sheet erosion in gullies from trees: a case study using dendrogeomorphological analysis of exposed pine roots in Central Iberia. Geomorphology 134:417–425.  https://doi.org/10.1016/j.geomorph.2011.07.016 CrossRefGoogle Scholar
  5. Bodoque JM, Ballesteros-Cánovas JA, Lucía A, Díez-Herrero A, Martín-Duque JF (2015) Source of error and uncertainty in sheet erosion rates estimated from dendrogeomorphology. Earth Surf Process 40:1146–1157.  https://doi.org/10.1002/esp.3701 CrossRefGoogle Scholar
  6. Braam RR, Weiss EEJ, Burrough PA (1987) Spatial and temporal analysis of mass movement using dendrochronology. Catena 14:573–584CrossRefGoogle Scholar
  7. Casalı J, López JJ, Giráldez JV (1999) Ephemeral gully erosion in southern Navarra (Spain). Catena 36:65–84.  https://doi.org/10.1016/S0341-8162(99)00013-2 CrossRefGoogle Scholar
  8. Chaplot V, Le Bissonnais Y (2000) Field measurements of interrill erosion under\- different slopes and plot sizes. Earth surf process Landf 25:145‑153.  https://doi.org/10.1002/(SICI)1096-9837(200002)25:2<145::AID-ESP51>3.0.CO;2-3 cited by: 77
  9. Chartier MP, Giantomasi MA, Renison D, Roig FA (2016) Exposed roots as indicators of geomorphic processes: a case-study from Polylepis mountain woodlands of Central Argentina. Dendrochronologia 37:57–63.  https://doi.org/10.1016/j.dendro.2015.11.003 CrossRefGoogle Scholar
  10. Corona C, Saez JL, Rovéra G, Stoffel M, Astrade L, Berger F (2011) High resolution, quantitative reconstruction of erosion rates based on anatomical changes in exposed roots at Draix, Alpes de haute-Provence—critical review of existing approaches and independent quality control of results. Geomorphology 125:433–444.  https://doi.org/10.1016/j.geomorph.2010.10.030 CrossRefGoogle Scholar
  11. De Oliveira MAT (1989) Erosion disconformities and gully morphology: a threedimensional approach. Catena 16:413–423.  https://doi.org/10.1016/0341-8162(89)90024-6 CrossRefGoogle Scholar
  12. Díaz AR, Sanleandro PM, Soriano AS, Serrato FB, Faulkner H (2007) The causes of piping in a set of abandoned agricultural terraces in Southeast Spain. Catena 69:282–293.  https://doi.org/10.1016/j.catena.2006.07.008 CrossRefGoogle Scholar
  13. Faulkner H (2013) Badlands in marl lithologies: a field guide to soil dispersion, subsurface erosion and piping-origin gullies. Catena 106:42–53.  https://doi.org/10.1016/j.catena.2012.04.005 CrossRefGoogle Scholar
  14. Gärtner H (2007) Tree roots—methodological review and new development in dating and quantifying erosive processes. Geomorphology 86:243–251.  https://doi.org/10.1016/j.geomorph.2006.09.001 CrossRefGoogle Scholar
  15. Gärtner H, Schweingruber FH, Dikau R (2001) Determination of erosion rates by analyzing structural changes in the growth pattern of exposed roots. Dendrochronologia 19:81–91Google Scholar
  16. Grissino-Mayer HD (2001) Evaluating crossdating accuracy: a manual and tutorial for the computer program COFECHA. Tree-Ring Res 57:205–221Google Scholar
  17. Hitz OM, Gärtner H, Heinrich I, Monbaron M (2008) Application of ash (Fraxinus excelsior L.) roots to determine erosion rates in mountain torrents. Catena 72:248–258.  https://doi.org/10.1016/j.catena.2007.05.008 CrossRefGoogle Scholar
  18. Holmes RL (1983) Computer-assisted quality control in tree-ring dating and measurement. Tree-Ring Bull 43:69–78Google Scholar
  19. Howell BE, Mathiasen RL (2004) Growth impacts of Psittacanthus angustifolius Kuijt on Pinus oocarpa Schiede in Honduras. For Ecol Manag 198:75–88.  https://doi.org/10.1016/j.foreco.2004.03.047 CrossRefGoogle Scholar
  20. Hudson NW (1965) The influence of rainfall on the mechanics of soil erosion: with particular reference to southern Rhodesia. University of Cape Town, Cape TownGoogle Scholar
  21. IAWA Committee (1989) IAWA list of microscopic features for hardwood identification. IAWA Bull 10:219–332CrossRefGoogle Scholar
  22. IBGE (2007) Manual Técnico de Pedologia. Fundação Instituto Brasileiro de Geografia e Estatística, Rio de JaneiroGoogle Scholar
  23. Iserloh T, Ries JB, Cerdà A, Echeverría MT, Fister W, Geißler C, Kuhn NJ, León FJ, Peters P, Schindewolf M, Schmidt J, Scholten T, Seeger M (2013) Comparative measurements with seven rainfall simulators on uniform bare fallow land. Z Für Geomorphol Suppl Issues 57:11–26.  https://doi.org/10.1127/0372-8854/2012/S-00085 CrossRefGoogle Scholar
  24. Jones JAA (2004) Implications of natural soil piping for basin management in upland Britain. Land Degrad Dev 15:325–349.  https://doi.org/10.1002/ldr.618 CrossRefGoogle Scholar
  25. Lal R (2001) Soil degradation by erosion. Land Degrad Dev 12:519–539.  https://doi.org/10.1002/ldr.472 CrossRefGoogle Scholar
  26. Lawler DM (2005) The importance of high-resolution monitoring in erosion and deposition dynamics studies: examples from estuarine and fluvial systems. Geomorphology 64:1–23.  https://doi.org/10.1016/j.geomorph.2004.04.005 CrossRefGoogle Scholar
  27. Lisi CS, Tomazello-Filho M, Botosso PC, Roig FA, Maria VR, Ferreira-Fedele L, Voigt AR (2008) Tree-ring formation, radial increment periodicity, and phenology of tree species from a seasonal semi-deciduous forest in Southeast Brazil. IAWA J 29:189–207.  https://doi.org/10.1163/22941932-90000179 CrossRefGoogle Scholar
  28. Pimentel D, Harvey C, Resosudarmo P, Sinclair K, Kurz D, McNair M, Crist S, Shpritz L, Fitton L, Saffouri R, Blair R (1995) Environmental and economic costs of soil erosion and conservation benefits. Science 267:1117–1122CrossRefGoogle Scholar
  29. Poesen J (2018) Soil erosion in the Anthropocene: research needs. Earth Surf Proces Landf 43:64–84.  https://doi.org/10.1002/esp.4250 CrossRefGoogle Scholar
  30. Poesen J, Nachtergaele J, Verstraeten G, Valentin C (2003) Gully erosion and environmental change: importance and research needs. Catena 50:91–133.  https://doi.org/10.1016/S0341-8162(02)00143-1 CrossRefGoogle Scholar
  31. Santos HG, Carvalho Junior WD, Dart RDO, Áglio MLD, de Sousa JS, Pares JG, Fontana A, Martins AL da S, Oliveira AP (2011). O novo mapa de solos do Brasil: legenda atualizada. Embrapa Solos-Documentos, Rio de JaneiroGoogle Scholar
  32. Šilhán K, Stoffel M (2015) Impacts of age-dependent tree sensitivity and dating approaches on dendrogeomorphic time series of landslides. Geomorphology 236:34–43.  https://doi.org/10.1016/j.geomorph.2015.02.003 CrossRefGoogle Scholar
  33. Stoffel M, Corona C, Ballesteros-Cánovas JA, Bodoque JM (2013) Dating and quantification of erosion processes based on exposed roots. Earth-Sci Rev 123:18–34.  https://doi.org/10.1016/j.earscirev.2013.04.002 CrossRefGoogle Scholar
  34. Toy TJ, Foster GR, Renard KG (2002) Soil erosion: processes, predicition, measurement, and control. John Wiley & Sons, New YorkGoogle Scholar
  35. Trimble SW, Crosson P (2000) US soil erosion rates–myth and reality. Science 289:248–250.  https://doi.org/10.1126/science.289.5477.248 CrossRefPubMedPubMedCentralGoogle Scholar
  36. Verachtert E, Van Den Eeckhaut M, Poesen J, Deckers J (2013) Spatial interaction between collapsed pipes and landslides in hilly regions with loess-derived soils: poorly drained landslides may create favourable conditions for piping. Earth Surf Process Landf 38:826–835.  https://doi.org/10.1002/esp.3325 CrossRefGoogle Scholar
  37. Vidal-Torrado P, Lepsch IF (1999) Relações material de origem / solo e pedogênese em uma seqüência de solos predominantemente argilosos e Latossólicos sobre psamitos na Depressão Periférica Paulista. Rev Bras de Ciência do Solo 23:357–369CrossRefGoogle Scholar
  38. Woodward DE (1999) Method to predict cropland ephemeral gully erosion. Catena 37:393–399.  https://doi.org/10.1016/S0341-8162(99)00028-4 CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Luiz de Queiroz School of AgricultureUniversity of São Paulo (USP)PiracicabaBrazil
  2. 2.Instituto de Investigaciones Biológicas y TecnológicasCentro de Ecología y Recursos Naturales Renovables (CONICET – Universidad Nacional de Córdoba)CórdobaArgentina
  3. 3.Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales- IANIGLA -CONICET, Laboratorio de Dendrocronología e Historia AmbientalMendozaArgentina
  4. 4.Facultad de Ciencias AgrariasUniversidad Nacional de CuyoMendozaArgentina
  5. 5.Facultad de Ciencias, Hémera Centro de Observación de la TierraUniversidad MayorSantiago de ChileChile

Personalised recommendations