FIRST STAGES OF THE POST-FIRE NATURAL REGENERATION OF VEGETATION IN THE VENTANILLA WETLANDS (LIMA-PERU)
DOI:
https://doi.org/10.21704/rea.v16i1.900Palavras-chave:
Fires, succession, regeneration, resilience, wetlandsResumo
In the wetlands of Peru’s central coast, fires are a recurrent problem. Little is known concerning their impact on vegetation and the recovery strategies adopted by that vegetation in response to such events. The goal of this study is to provide information regarding changes in vegetation cover, density, growth and plant species diversity during the first 155 days after a fire that occurred at the Ventanilla Wetlands Regional Conservation Area (RCA). In order to evaluate the area, 51 plots, each measuring 1m2, were established. In these, the following information was recorded: a) Number of stems that survived the fire, divided by species; b) The length of new shoots, divided by species; c) The phenological stage of each stem; and d) Plant cover, obtained via visual estimation. Schoenoplectus americanus (bulrush) was the fastest to recover, followed by Distichlis spicata-Sporobolus virginicus (saltgrass). The only stems found to have survived the fire were those of S. americanus, and these began to die from day 45 onwards. Sarcocornia neei, Typha domingensis and Bolboeschoenus maritimus appeared after the event. Throughout the period of the study, the only species to flower was S. americanus, which began to flower from day 31. The Shannon Wiener and Simpson index values show that alpha diversity seems to have reached its highest value in the evaluated time and begins to decrease. Two important post-fire stages were identified for S. americanus (bulrush): a) The survival stage; and b) The growth stage. S. americanus has demonstrated a great ability to recover in the first stages following this ty of anthropogenic impact, achieving an average cover of 82% and representing 81% of the total abundance of stems during the first 155 days of evaluation.
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Referências
Aponte H. 2009. El junco: clasificación, biología y gestión. Científica.6 (1): 38–45.
Aponte H., Pérez-Irigoyen P. & Armesto M. 2014. Notas sobre el uso y mercado de Schoenoplectus americanus ‘junco’ en la costa central del Perú: Implicancias para su manejo y conservación. Científica. 11(3): 218–229.
Aponte H. & Ramírez W. 2011. Los Humedales de La Costa central del Perú: Comunidades Vegetales y Conservación. Revista Ecología Aplicada. 10(1): 31–39.
Aponte H. & Ramirez D.W. 2014. Riqueza florística y estado de conservación del Área de Conservación Regional Humedales de Ventanilla (Callao, Perú). Biologist (Lima). 12(2): 270–282.
Aponte H., Ramírez D., Lértora G., Vargas R., Gil F., Carazas N. & Liviac R. 2015. Incendios en los Humedales de la Costa Central del Perú: Una amenaza frecuente. Científica. 12(1): 70–81.
Bixby R. J., Cooper S. D., Gresswell R. E., Brown L. E., Dahm C. N., & Dwire K. A. 2015. Fire effects on aquatic ecosystems: An assessment of the current state of the science. Freshwater Science. 34(4), 1340–1350.
Bond W.J. & Keeley J.E. 2005. Fire as a global ‘herbivore’: the ecology and evolution of flammable ecosystems. Trends in Ecology & Evolution. 20: 387–394.
Dethier M.N., Graham E.S., Cohen S. & Tear L.M., 1993. Visual versus random-point percent cover estimations: ‘objective’ is not always better. Marine Ecology Progress Series. 96, 93–100.
Floyd D.A. & Anderson J.E., 1987. A comparison of three methods for estimating plant cover. Journal of Ecology. 75, 221–228.
Friedmann B., Pauli H., Gottfried M. & Grabherr G. 2011. Suitability of methods for recording species numbers and cover in alpine long-term vegetation monitoring. Phytocoenologia. 41 (2): 143 –149.
Godínez-Alvarez H., Herrick J.E., Mattocks M., Toledo D., and Van Zee J. 2009. Comparison of three vegetation monitoring methods: their relative utility for ecological assessment and monitoring. Ecological indicators. 9 (5): 1001–1008.
Hatton T.J., West N.E., Johnson P.S., 1986. Relationships of the error associated with ocular estimation and actual total cover. Rangeland Ecology and Management. 39, 91–92.
Hammer Ø, Harper D.A.T. & Rayan P.D. 2001. PAST: Paleontological statistics software package for education and data analysis. Palaeontologia Electronica. 4(1):1-9.
Hernández-Valencia I. & López-Hernández D. 2002. Pérdida de nutrimentos por la quema de la vegetación en una sabana de Trachypogon. Revista de Biología Tropical.50: 1013–1019.
Hoffmann W.A. 1998. Post-burn reproduction of woody plants in a neotropical savanna: the relative importance of sexual and vegetative reproduction. Journal of Applied Ecology.35: 422–433.
Hyams D.G. 2010. Curve Expert software V. 1.4.
Keeley J. E. 2009. Fire intensity, fire severity and burn severity: a brief review and suggested usage. International Journal of Wildland Fire. 18(1), 116–126.
Kennard D.K., Gould K., Putz F.E., Fredericksen T.S. & Morales F. 2002. Effect of disturbance intensity on regeneration mechanisms in a tropical dry forest. Forest Ecology and Management.162: 197–208.
Knapp E., Estes B. & Skinner C. 2009. Ecological Effects of Prescribed Fire Season: A Literature Review and Synthesis for Managers.General Technical Repport PSW-GTR-224. Albany, CA: U.S. Department of Agriculture, Forest Service, Pacific Southwest Research Station, Estados Unidos.
Koenen M. & Koenen S. 2000. Effect of fire on birds in Paramo habitat of Norther Ecuador. OrnitologíaNeotropical.11: 155–163.
Kotze D. C. 2013. The effects of fire on wetland structure and functioning. African Journal of Aquatic Science.
Moya B.V., Hernández A. & Elizalde Borrell, H. 2005. Los Humedales ante el Cambio Climático. Investigaciones Geográficas.37: 127–132.
Oliver M.A. & Webster R. 1990. Kriging: a method of interpolation for geographical information systems. International Journal of Geographical Information System.4: 313–332.
Pronaturaleza. 2010. Documento Base Para La Elaboración e Una Estrategia De Conservación de Los Humedales de La Costa Peruana. Pronaturaleza, Lima - Perú.
Rochefort L., Isselin-Nondedeu F., Boudreau S. & Poulin M. 2013. Comparing survey methods for monitoring vegetation change through time in a restored peatland. Wetlands Ecology & Management. 21, 71-85.
Smith S., Newman S., Garrett P., & Leeds J. A. 2001. Effects of above and below ground fire on soils of a northern Everglades marsh. Journal of Environmental Quality, 30, 1998–2005.
Tavares A.O., Máquina M.A. & Henriques M.H. 2012. The impact of tourism in a fragile wetland ecosystem in Angola: the Arco (Namibe) case study. En: WIT Transactions on Ecology and the Environment (eds F.D. Pineda & Brebbia), pp. 205–216. WIT Press, UK.
Ukmar E., Battisti C., Luiselli L. & Bologna M.A. 2007. The effects of fire on communities, guilds and species of breeding birds in burnt and control pinewoods in central Italy. Biodiversity and Conservation.16: 3287–3300.
Vogl R.J. (1973) Effects of fire on the plants and animals of a Florida wetland. American Midland Naturalist. 89(2):334–347.
Watts A. C., Schmidt C. A., McLaughlin D. L. & Kaplan D. A. 2015. Hydrologic implications of smoldering fires in wetland landscapes. Freshwater Science. 34(4), 1394–
