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SUCCESSION IN MINED COASTAL SAND DUNES

SUCCESSION IN MINED COASTAL SAND DUNES. THE ROLE OF COLLEMBOLA AS BIO-INDICATORS. SOIL FAUNA. Collembolan and oribatid species diversity and communities structure are the most sensitive mesofaunal parameters to evaluate the soil restoration (Andrés & Mateos, 2006).

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SUCCESSION IN MINED COASTAL SAND DUNES

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  1. SUCCESSION IN MINED COASTAL SAND DUNES THE ROLE OF COLLEMBOLA AS BIO-INDICATORS

  2. SOIL FAUNA • Collembolan and oribatid species diversity and communities structure are the most sensitive mesofaunal parameters to evaluate the soil restoration (Andrés & Mateos, 2006). • Frequently exceedingly abundant in soil and litter, are among the most important consumers, under some conditions the soil consists largely in collembolan fecal pellets (Daly et al., 1998).

  3. TRADITIONAL CLASSIFICATION FOR COLLEMBOLA • Hexapoda= Entognatha (Ellipura+Diplura) +Ectognatha (Archeognatha+Dicondylia). • Ellipura Börner (1910)= Collembola+Protura Collembola Protura Diplura Insecta Ellipura Hexapoda

  4. COLLEMBOLA • Diversity (more than 7500 species, 600 genera, 30 families). • Wind-borne, world wide distributed from glaciers in high mountains to dry desert.

  5. COLLEMBOLA

  6. BIOINDICATORS • Collembola were linked to pH, nutrient content or organic matter, soil chemical parameters that characterize humus type (Cassagne et al., 2003). • Soil and litter arthropods, such as Collembola, are considered to be useful bioindicators of changes in soil quality (Huhta et al. 1967; Hole 1981; Detsis et al. 2000; Cassagne et al., 2003).

  7. ENDEMIC SPECIES

  8. ENDEMIC SPECIES • Endemic biota are usually more affected than non-endemic biota by artificial disturbance; • the restricted distribution of endemic taxa attests in itself to the level of this sensitivity, which prevents them from crossing ecological barriers unimportant for non-endemic biota (Deharveng, 1995).

  9. ENDEMIC SPECIES Deharveng, 1995

  10. OBJECTIVES • Make the first survey of Collembola in Brazilian northeastern “restinga” (salt marsh), and identify endemic and new species. • Evaluate the effects of the composition of the vegetation in reforested mined sand dunes, on the Collembola diversity. • Use the Collembola diversity as indicator of soil and litter quality.

  11. SAMPLING METHODS • The Collembola samples were taken from the discards of the Malaise traps. • Reforested areas with 2, 4, 8 and 16 years, and a native area, were sampled. • Each area was subdivided into 3 parcels (A, B and C). • One Malaise was left in each parcel during a week both in dry and rainy seasons. Total of 15 samples/season.

  12. SAMPLING METHODS • The Collembola were separated and counted from the alcohol after the insects were removed from the collection bottles. • A series of each noticed morphospecies was mounted in slides to the identification under optic microscope. • The results were tabulated in excel for the statistic analysis.

  13. COMPARATIVE METHODS • The Collector curve was plotted, to estimate the completeness of the sampling for Collembola. • The numbers of individuals and species of Collembola were correlated with the composition of the vegetation and age of areas. • The similarity index of Morisita-Horn was used to plot dendograms of linkage distances.

  14. COMPARATIVE METHODS • The estimated richness of species of Collembola was plotted against the age of the areas. • The total richness was plotted against the age of the areas. • The diversity index of Shannon was estimated to the different areas and plotted for comparison.

  15. RESULTS Distribution of the species of Collembola at the study sites. 24 species, 14 genera, 10 families.

  16. COLLECTOR CURVE

  17. VARIABLES

  18. CORRELATION ANALYSIS N/ind/Coll/parc, number of individuals of Collembola per parcel; N/sp/Coll/parc, number of species of Collembola per parcel.

  19. CORRELATION ANALYSIS • Both, the number of species and the number of individuals, are sensitive to the age of the reforestation, to the species composition of the local flora, the shade projected by the tree cover and the height of the leaf litter.

  20. SIMILARITY ANALYSIS

  21. SIMILARITY ANALYSIS

  22. SIMILARITY ANALYSIS

  23. SIMILARITY ANALYSIS • The areas with 2, 4 and 8 years seems to be more similar to each other, than they are to areas with 16 years and control. The area with 8 years seems to be more related to the area with 2 years than it is to the area with 4 years.

  24. ESTIMATED RICHNESS

  25. TOTAL RICHNESS

  26. SOBS !!!! RIQUEZA

  27. RICHNESS • The species richness of Collembola is sensitive to the age of the reforestation, the areas with 16 years and control are significantly different from the remaining areas. The overlapping distribution of the richness of the areas with 2, 4 and 8 years indicates that they are not significantly different.

  28. UNIQUENESS (endemism?) • It is impossible to determine endemic species at this point of the work, but the distribution of the species in the different areas present an interesting pattern, that partially reproduces the Deharveng’s 1995 findings.

  29. UNIQUENESS (endemism?) REFORESTED DUNES IN MATARACA, PB, LYONDELL CORP.

  30. SHANNON DIVERSITY INDEX

  31. SHANNON DIVERSITY INDEX • The estimated diversity index shows that the planted area with 4 years is more heterogeneous than the area with 8 years, and the area with 16 years is more heterogeneous than the control, it is likely to be an effect of the plantation species used in the area 8 years and the collector curve in the control.

  32. CONCLUSIONS • The Collembola diversity is sensitive to the age of the reforestation and the species composition of the flora. • The “unique” species seems to respond strongly to the age of the reforestation (16 species from a total of 24 if considered the 16 years and control together). • The diversity of Collembola can be recovered with appropriate reforestation techniques, but it takes a long time.

  33. THANK YOU VERY MUCH! I acknowledge to M.Sc. Valderez !!! For providing the floristic data, to Malva Hernandez and Helder !!! For the help with the statistic analyses.

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