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Natural channeling in riverine forests determines variations in their floristic composition, structure, and land use in southern Brazil

  • Marcelo Callegari ScipioniEmail author
  • Fabrício de Araújo Pedron
  • Solon Jonas Longhi
  • Franklin Galvão
  • Jean Carlos Budke
  • Paulo Renato Schneider
Original Paper

Abstract

Hydrological processes in riparian forests affect their geomorphology and drainage, and define their structure. Interactions among many environmental variables and the tree community in continuous riverine forests affect their formation and add to their complexity, making our understanding of these habitats particularly challenging. We evaluated the tree species diversity and richness in relation to relief and flooding regimes in the watershed of a riparian forest in southern Brazil. The environments of the topographic gradients were classified according to relief and soil. Canonical correspondence analysis and indicator species analysis were used for the environmental classification. A detailed soil survey showed that the organic matter content and pH are quite distinct among the environmental categories. Frequent flooding of low intensity on the floodplain was associated with incipient and shallow channels, greater frequency of livestock encroachment, and lower frequency of shade-tolerant species dominance in the deep relief of the valleys and the headwaters. We conclude that there is a dynamic flow of species migration between the flooded and non-flooded environments in small channels and that the narrow deep channels in the floodplain with less frequent and intense flooding favor an expansion of the upland tree species into riparian areas, with channel shape and depth important variables in the impact of cattle encroachment on vegetation. The greatest tree diversity was found in the ravine habitats in the intermediate landscapes.

Keywords

Topographic gradient Fine spatial scale Soil properties Hydrology 

References

  1. Alvares CA, Stape JL, Sentelhas PC, Gonçalves JLM, Sparovek G (2013) Köppen’s climate classification map for Brazil. Meteorol Z 22:711–728.  https://doi.org/10.1127/0941-2948/2013/0507 CrossRefGoogle Scholar
  2. Araujo MM, Longhi SJ, Brena DA, Barros PLC, Franco S (2004) Cluster analysis of the vegetation of a fragment of seasonal deciduous alluvial forest in Cachoeira do Sul, RS, Brazil. Ciênc Flor 14:133–147CrossRefGoogle Scholar
  3. Behling H, Pillar VD, Bauermann SG (2005) Late Quaternary grassland (Campos), gallery forest, fire and climate dynamics, studied by pollen, charcoal and multivariate analysis of the Sao Francisco de Assis core in western Rio Grande do Sul (southern Brazil). Rev Palaeobot Palynol 133:235–248.  https://doi.org/10.1016/j.revpalbo.2004.10.004 CrossRefGoogle Scholar
  4. Benz B, Rhode J, Cruzan MB (2007) Aerenchyma development and elevated alcohol dehydrogenase activity as alternative responses to hypoxic soils in the Piriqueta caroliniana complex. Am J Bot 94:542–550CrossRefGoogle Scholar
  5. Borcard D, Gillet F, Legendre P (2011) Numerical ecology with R. Springer, New YorkCrossRefGoogle Scholar
  6. Boudell JA, Stromberg JC (2008) Flood pulsing and metacommunity dynamics in a desert riparian ecosystem. J Veg Sci 19:U119–U373.  https://doi.org/10.3170/2008-8-18377 CrossRefGoogle Scholar
  7. Bruelheide H, Dengler J, Purschke O, Lenoir J, Jiménez-Alfaro B, Hennekens SM et al (2018) Global trait–environment relationships of plant communities. Nat Ecol Evol 2:1906–1917. http://www.nature.com/articles/s41559-018-0699-8 CrossRefGoogle Scholar
  8. Budke JC, Jarenkow JA, de Oliveira-Filho AT (2007) Relationships between tree component structure, topography and soils of a riverside forest, Rio Botucaraí, southern Brazil. Plant Ecol 189:187–200.  https://doi.org/10.1007/s11258-006-9174-8 CrossRefGoogle Scholar
  9. Budke JC, Jarenkow JA, de Oliveira-Filho AT (2008) Tree community features of two stands of riverine forest under different flooding regimes in southern Brazil. Flora 203:162–174.  https://doi.org/10.1016/j.flora.2007.03.001 CrossRefGoogle Scholar
  10. Budke JC, Jarenkow JA, de Oliveira-Filho AT (2010) Intermediary disturbance increases tree diversity in riverine forest of southern Brazil. Biodivers Conserv 19:2371–2387.  https://doi.org/10.1007/s10531-010-9845-6 CrossRefGoogle Scholar
  11. Capon SJ, Chambers LE, Nally RM, Naiman Robert J, Davies P, Marshall N, Pittock J, Reid M, Capon T, Douglas M, Catford J, Baldwin DS, Stewardson M, Roberts J, Parsons M, Williams SE (2013) Riparian ecosystems in the 21st century: hotspots for climate change adaptation? Ecosystems 16:359–381.  https://doi.org/10.1007/s10021-013-9656-1 CrossRefGoogle Scholar
  12. de Silva G, Costa E, Bernardo FA, Groff FHS, Todeschini B, dos Santos DV, Machado G (2014) Cattle rearing in Rio Grande do Sul, Brazil. Acta Sci Vet 42:1–7Google Scholar
  13. Désilets P, Houle G (2005) Effects of resource availability and heterogeneity on the slope of the species-area curve along a floodplain-upland gradient. J Veg Sci 16:487–496CrossRefGoogle Scholar
  14. Donagema GK, de Campos DVB, Calderano SB, Teixeira WG (2011) Manual de métodos de análises de solos, 2nd edn. Embrapa Solos, Centro Nacional de Pesquisas de Solos, Rio de JaneiroGoogle Scholar
  15. Dufrene M, Legendre P (1997) Species assemblages and indicator species: the need for a flexible asymmetrical approach. Ecol Monogr 67:345–366Google Scholar
  16. Dumont JF, Lamotte S, Kahn F (1990) Wetland and upland forest ecosystems in Peruvian Amazonia: plant species diversity in the light of some geological and botanical evidence. For Ecol Manage 33(34):125–139CrossRefGoogle Scholar
  17. Dwire KA, Mellmann-brown S, Gurrieri JT (2018) Potential effects of climate change on riparian areas, wetlands, and groundwater-dependent ecosystems in the Blue Mountains, OR, USA. Clim Serv 10:44–52CrossRefGoogle Scholar
  18. Fang L, Yang J, Zu J, Li G, Zhang J (2015) Quantifying influences and relative importance of fire weather, topography, and vegetation on fire size and fire severity in a Chinese boreal forest landscape. For Ecol Manage.  https://doi.org/10.1016/j.foreco.2015.01.011 Google Scholar
  19. Favrichon V (1995) Modèle matriciel déterministe en temps discret: application à l’étude de la dynamique d’un peuplement forestier tropical humide (Guyane Française). Université Claude BernardGoogle Scholar
  20. Ferreira CS, Piedade MTF, Franco AC, Gonçalves JFC, Junk WJ (2009) Adaptive strategies to tolerate prolonged flooding in seedlings of floodplain and upland populations of Himatanthus sucuuba, a Central Amazon tree. Aquat Bot 90:246–252.  https://doi.org/10.1016/j.aquabot.2008.10.006 CrossRefGoogle Scholar
  21. Flora do Brasil 2020 (2018) Jardim Botânico do Rio de Janeiro. http://floradobrasil.jbrj.gov.br/. Accessed 2 Jan 2018
  22. Friedman JM, Lee VJ (2002) Extreme floods, channel change, and riparian forest along ephemeral streams. Ecol Monogr 72:409–425.  https://doi.org/10.1890/0012-9615(2002)072%5b0409:EFCCAR%5d2.0.CO;2 CrossRefGoogle Scholar
  23. Garcia-Oliva F, Martinez Lugo R, Maass JM (1995) Long-term net soil erosion as determined by137Cs redistribution in an undisturbed and perturbed tropical deciduous forest ecosystem. Geoderma 68:135–147.  https://doi.org/10.1016/0016-7061(95)00030-R CrossRefGoogle Scholar
  24. Glenz C, Iorgulescu I, Kienast F, Schlaepfer R (2008) Modelling the impact of flooding stress on the growth performance of woody species using fuzzy logic. Ecol Modell 8:18–28.  https://doi.org/10.1016/j.ecolmodel.2008.06.008 CrossRefGoogle Scholar
  25. Gomi T, Sidle RC, Richardson JS (2002) Understanding processes and downstream linkages of headwater systems. Bioscience 52:905.  https://doi.org/10.1641/0006-3568(2002)052%5b0905:UPADLO%5d2.0.CO;2 CrossRefGoogle Scholar
  26. Gotelli NJ, Colwell RK (2001) Quantifying biodiversity: procedures and pitfalls in the measurement and comparison of species richness. Ecol Lett 4:379–391.  https://doi.org/10.1046/j.1461-0248.2001.00230.x CrossRefGoogle Scholar
  27. Guilherme FAG, Oliveira-filho AT, Appolinário V, Bearzoti E (2004) Effects of flooding regime and woody bamboos on tree community dynamics in a section of tropical semideciduous forest in south-eastern Brazil. Plant Ecol 174:19–36CrossRefGoogle Scholar
  28. Guns M, Vanacker V (2013) Forest cover change trajectories and their impact on landslide occurrence in the tropical Andes. Environ Earth Sci 70:2941–2952.  https://doi.org/10.1007/s12665-013-2352-9 CrossRefGoogle Scholar
  29. Hammer Ø, Harper DAT, Ryan PD (2001) PAST: paleontological statistics software package for education and data analysis. vol 2.17. Palaeontol Electron 1:1–9Google Scholar
  30. Hupp CR (1992) Riparian vegetation recovery patterns following stream channelization: a geomorphic perspective. Ecology 73:1209–1226.  https://doi.org/10.2307/1940670 CrossRefGoogle Scholar
  31. Hupp CR, Osterkamp WR (1996) Riparian vegetation and fluvial geomorphic processes. Geomorphology 14:277–295.  https://doi.org/10.1016/0169-555X(95)00042-4 CrossRefGoogle Scholar
  32. Hupp CR, Simon A (1991) Bank accretion and the development of vegetated depositional surfaces along modified alluvial channels. Geomorphology 4:111–124CrossRefGoogle Scholar
  33. Iverson LR, McKenzie D (2013) Tree-species range shifts in a changing climate: detecting, modeling, assisting. Landsc Ecol 28:879–889.  https://doi.org/10.1007/s10980-013-9885-x CrossRefGoogle Scholar
  34. Jongman RHG, Ter Braak CJF, Van Tongeren OFR (1995) Data analysis in community and landscape ecology. Cambridge University Press, CambridgeCrossRefGoogle Scholar
  35. Kiffney PM, Greene CM, Hall JE, Davies JR (2006) Tributary streams create spatial discontinuities in habitat, biological productivity, and diversity in main stem rivers. Can J Fish Aquat Sci 63:2518–2530.  https://doi.org/10.1139/F06-138 CrossRefGoogle Scholar
  36. Lorenzi H (2000) Brazilian trees. Plantarum, Nova OdessaGoogle Scholar
  37. Lytle DA, Poff NL (2004) Adaptation to natural flow regimes. Trends Ecol Evol 19:94–100.  https://doi.org/10.1016/j.tree.2003.10.002 CrossRefGoogle Scholar
  38. McCune B, Mefford MJ (2011) PC-ORD: Multivariate analysis of ecological data. Version 6. MjM Software, Gleneden Beach, Oregon, U.S.AGoogle Scholar
  39. Meyer JL, Strayer DL, Wallace JB, Eggert SL, Helfman GS, Norman EL (2007) The contribution of headwater streams to biodiversity in river networks. J Am Water Resour Assoc 43:86–103.  https://doi.org/10.1111/j.1752-1688.2007.00008.x CrossRefGoogle Scholar
  40. Moore RD, Richardson JS (2003) Progress towards understanding the structure, funtion, and ecological significance of small stream channels and their riparian zones. Can J Res 33:1349–1351CrossRefGoogle Scholar
  41. Mueller-Dombois D, Ellemberg H (2002) Aims and methods of vegetation ecology. Wiley, New YorkGoogle Scholar
  42. Murcia C (1995) Edge effects in fragmented forests: implications for conservation. Trends Ecol Evol 10:58–62.  https://doi.org/10.1016/S0169-5347(00)88977-6 CrossRefGoogle Scholar
  43. Naiman RJ, Bilby RE, Bisson P (2000) Riparian ecology and management in the Pacific coastal rain forest. Bioscience 50:571–584.  https://doi.org/10.1641/0006-3568(2000)050 CrossRefGoogle Scholar
  44. Naiman RJ, Décamps H, McClain ME (2005) Riparia: ecolgoy, conservation, and management of streamside communities. Elsevier Academic Press, LondonGoogle Scholar
  45. Oliveira-Filho AT, Budke JC, Jarenkow JA, Eisenlohr PV, Neves DRM (2015) Delving into the variations in tree species composition and richness across South American subtropical Atlantic and Pampean forests. J Plant Ecol 8:242–260.  https://doi.org/10.1093/jpe/rtt058 CrossRefGoogle Scholar
  46. Osterkamp WR, Hupp CR (1984) Geomorphic and vegetative characteristics along three northern Virginia streams. Geol Soc Am Bull 95:1093–1101.  https://doi.org/10.1130/0016-7606(1984)95%3c1093:GAVCAT%3e2.0.CO;2 CrossRefGoogle Scholar
  47. Oswalt SN, King SL (2005) Channelization and floodplain forests: impacts of accelerated sedimentation and valley plug formation on floodplain forests of the Middle Fork Forked Deer River, Tennessee, USA. For Ecol Manage 215:69–83.  https://doi.org/10.1016/j.foreco.2005.05.004 CrossRefGoogle Scholar
  48. Palmer MA, Lettenmaier DP, Poff NL, Postel SL, Richter B, Warner R (2009) Climate change and river ecosystems: protection and adaptation options. Environ Manag 44:1053–1068.  https://doi.org/10.1007/s00267-009-9329-1 CrossRefGoogle Scholar
  49. Parolin P, Wittmann F, Schöngart J, Piedade MTF (2004) Amazonian várzea forests: adaptive strategies of trees as tools for forest management. Ecol Apl 3:180–184CrossRefGoogle Scholar
  50. Peck JE (2010) Multivariate analysis for community ecologists: step-by-step using PC-ORD. Sofware Desing, Glenden BeachGoogle Scholar
  51. R Development Core Team (2015) R: a language and environment for statistical computingGoogle Scholar
  52. Rolls RJ, Heino J, Ryder DS, Chessman BC, Growns IO, Thompson RM, Gido KB (2017) Scaling biodiversity responses to hydrological regimes. Biol Rev.  https://doi.org/10.1111/brv.12381 Google Scholar
  53. Sampaio MB, Guarino E de SG (2007) Effect of cattle grazing on plant population structure in Araucaria forest fragments. Árvore 31:1035–1046CrossRefGoogle Scholar
  54. Santos MJ (2010) Encroachment of upland Mediterranean plant species in riparian ecosystems of southern Portugal. Biodivers Conserv 19:2667–2684.  https://doi.org/10.1007/s10531-010-9866-1 CrossRefGoogle Scholar
  55. Santos HG, Almeida JA, de Oliveira JB, Lumbreras JF, dos Anjos LHC, Coelho MR, Jacomine PKT, Cunha TJF, de Oliveira VÁ (2013) Sistema Brasileiro de classificação de solos, 3rd edn. Empresa Brasileira de Pesquisa Agropecuária, Centro Nacional de Pesquisa de Solos, Rio de JaneiroGoogle Scholar
  56. Santos RD, Lemos RCL, Santos HG, Ker JC, Anjos LHC, Shimizu SH (2015) Manual de descrição e coleta de solo no campo: revisada e ampliada, 7th edn. SBCS, ViçosaGoogle Scholar
  57. Scipioni MC (2018) Riparian environments: soils and vegetation. Novas, International Book Market Service, RigaGoogle Scholar
  58. Scipioni MC, Finger CAG, Cantarelli EB, Denardi L, Meyer EA (2011) Phytosociological study in a forest fragment in the northwest of Rio Grande do Sul State. Cienc Flor 21:407–417Google Scholar
  59. Scipioni MC, Galvão F, Longhi SJ, Pedron Fcde A (2015) Environmental gradient analysis in arboreal communities in the lower Jacuí river. Ciênc Rural 45:1802–1808.  https://doi.org/10.1590/0103-8478cr20131371 CrossRefGoogle Scholar
  60. Scipioni MC, Galvão F, Longhi SJ, Pedron F de A (2016) Environmental conditions of forest fragments in geomorphologic and pedologic compartments on small tributaries lower basin of Jacuí river, RS State. Cienc Flor 26:747–761.  https://doi.org/10.5902/1980509824196 CrossRefGoogle Scholar
  61. Shaw JR, Cooper DJ (2008) Linkages among watersheds, stream reaches, and riparian vegetation in dryland ephemeral stream networks. J Hydrol 350:68–82.  https://doi.org/10.1016/j.jhydrol.2007.11.030 CrossRefGoogle Scholar
  62. Soares AP, Soares PC, Holz M (2008) The stratigraphic register of the Guarani aquifer system in the Parana basin involves deposits of the Triassic to the Cretaceous. Rev Pesqui Geociênc 35:115–133CrossRefGoogle Scholar
  63. Streck EV, Kämpf N, Dalmolin RS, Klamt E, Nascimento PC, Schnieder P, Giasson E, Pinto LFS (2008) Solos do Rio Grande do Sul. EMATER RS/ASCAR, Porto AlegreGoogle Scholar
  64. Tech ARB, Arce AIC, Silva ACS, Costa EJX (2012) A wireless data acquisition system for cattle behavior monitoring in zootechnics e-science. Arch Zool Tech 61:175–185CrossRefGoogle Scholar
  65. Toniato MTZ, de Oliveira-Filho AT (2004) Variations in tree community composition and structure in a fragment of tropical semideciduous forest in southeastern Brazil related to different human disturbance histories. For Ecol Manage 198:319–339.  https://doi.org/10.1016/j.foreco.2004.05.029 CrossRefGoogle Scholar
  66. Traversa-Tejero IP, Reyes Alejano-Monge M (2013) Caracterización, distribución y manejo de los bosques nativos en el norte de Uruguay. Rev Mex Biodivers 84:249–262.  https://doi.org/10.7550/rmb.23314 CrossRefGoogle Scholar
  67. USS Working Group WRB (2015) World reference base for soil resources 2014, update 2015 international soil classification system for naming soils and creating legends for soil maps. Resources reports no. 106. RomeGoogle Scholar
  68. Van Pelt R, O’Keefe TC, Latterell JJ, Naiman RJ (2006) Riparian forest stand development along the Queets River in Olympic National Park, Washington. Ecol Monogr 76:277–298.  https://doi.org/10.1890/05-0753 CrossRefGoogle Scholar
  69. Wantzen KM, Couto EG, Mund EE, Amorim RSS, Siqueira A, Tielbörger K, Seifan M (2012) Soil carbon stocks in stream-valley-ecosystems in the Brazilian Cerrado agroscape. Agric Ecosyst Environ 151:70–79.  https://doi.org/10.1016/j.agee.2012.01.030 CrossRefGoogle Scholar
  70. Ward JV, Tockner K, Arscott DB, Claret C (2002) Riverine landscape diversity. Freshwater Biol 47:517–539.  https://doi.org/10.1046/j.1365-2427.2002.00893.x CrossRefGoogle Scholar
  71. Winter TC, Harvey JW, Franke OL, Alley WM (1998) Ground water and surface water: a single resource, circular 1139. US Geological Survey, DenverGoogle Scholar
  72. WMD (2016) World meteorological day 2016. In: World Meteorological Organization https://www.wmo.int/worldmetday/content/wetter. Accessed 1 Mar 2016

Copyright information

© International Consortium of Landscape and Ecological Engineering 2019

Authors and Affiliations

  1. 1.Departamento de Agricultura, Biodiversidade e Florestas, Centro de Ciências RuraisUniversidade Federal de Santa CatarinaCuritibanosBrazil
  2. 2.Universidade Federal de Santa MariaSanta MariaBrazil
  3. 3.Universidade Federal do ParanáCuritibaBrazil
  4. 4.Universidade Regional Integrada do Alto Uruguai e das MissõesErechimBrazil

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