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Post-Fire Effects in Wetland Environments Doi: 10.4996/Fireecology.0802017 Page 17 Fire Ecology Volume 8, Issue 2, 2012 Salvia et al.: Post-Fire Effects in Wetland Environments doi: 10.4996/fireecology.0802017 Page 17 RESEARCH ARTICLE POST-FIRE EFFECTS IN WETLAND ENVIRONMENTS: LANDSCAPE ASSESSMENT OF PLANT COVERAGE AND SOIL RECOVERY IN THE PARANÁ RIVER DELTA MARSHES, ARGENTINA Mercedes Salvia1*, Darío Ceballos2, Francisco Grings1, Haydee Karszenbaum1, and Patricia Kandus3 1 Instituto de Astronomía y Física del Espacio, Pabellón IAFE, Ciudad Universitaria, Intendente Guiraldes 2160, (1428) Ciudad Autónoma de Buenos Aires, Argentina 2 Estación Experimental Agropecuaria Delta del Paraná, Instituto Nacional de Tecnología Agropecuaria, Paraná de las Palmas y C. L. Comas, Casilla de Correo 14, Campana (2804), Provincia de Buenos Aires, Argentina 3 Laboratorio de Ecología Teledetección y Ecoinformática, Instituto de Investigaciones e Ingeniería Ambiental, Universidad Nacional de General San Martín, Peatonal Belgrano 3563, (1650) San Martín, Provincia de Buenos Aires, Argentina *Corresponding author: Tel.: 054-11-47890179 ext. 226; e-mail: [email protected] ABSTRACT During 2008, under a region-wide drought, there were a large number of simultaneous fires in the Paraná River Delta region: the most affected vegetation was in marshes domi- nated by Schoenoplectus californicus (C.A.Mey.) Soják or Cyperus giganteus Vahl. The objective of this paper was to study fire severity in terms of fire effect on vegetation cover and soil properties, and the recovery of those properties after one growing season, using optical remote sensing techniques and fieldwork data. To this aim, we performed unsu- pervised classification of Landsat TM imagery and conducted vegetation censuses and soil sampling in November 2008 and May 2009. Our results show that we could identify three fire severity classes: low severity, medium severity, and high severity. These classes are characterized by a remnant vegetation cover of approximately 75 %, 25 %, and 5 %, respectively, and a diminution of soil organic carbon and nitrogen of 66 % and 59 % in the case of medium severity and high severity. Fire had almost no effect over pH and a slight effect on electrical conductivity. After one growing season, vegetation recovery is depen- dent on fire severity and hydrological condition, while soil properties did not show signs of recovery. This is one of the first studies of fire effects and recovery on fluvial herba- ceous wetlands. Keywords: Cyperus giganteus, fire severity, fluvial wetlands, optical remote sensing, Paraná Riv- er Delta, post-fire recovery, Schoenoplectus californicus, soil properties, vegetation cover Citation: Salvia, M., D. Ceballos, F. Grings, H. Karszenbaum, and P. Kandus. 2012. Post-fire ef- fects in wetland environment: landscape assessment of plant coverage and soil recovery in the Paraná River Delta marshes, Argentina. Fire Ecology 8(2): 17-37. doi: 10.4996/fireecology.0802017 Fire Ecology Volume 8, Issue 2, 2012 Salvia et al.: Post-Fire Effects in Wetland Environments doi: 10.4996/fireecology.0802017 Page 18 INTRODUCTION for fires, especially dangerous during dry peri- ods, affecting fire occurrence and dispersion In South America, wetlands cover exten- across the landscape (Thompson and sive areas associated with the floodplains of Shay1988, Laubhan 1995, Keddy 2010). In large rivers: Amazonas, Orinoco, and Paraná wetlands, the presence of an aboveground wa- (Neiff et al. 1994, Iriondo 2004). Flooding re- ter table or saturated soil restricts downward gime is widely recognized as a main factor that penetration of heat into the soil, which affects determines the presence, extension, and eco- fire dispersion and severity (Areet al. 2009). logical features of wetlands in alluvial plains Vegetation response to fire is mainly con- (Junk 1989, Middleton 2002, Mitsch and Gos- ditioned by life history and functional traits of selink 2007). However, besides floods, fire the species present at any site, as well as dis- and grazing are two other main factors highly turbance characteristics like frequency, inten- related to evolutionary history, organization, sity, and fire extent (Hobbs and Huennekke and dynamics of the wetlands (Batzer and 1992). Fire involves biomass loss, altering the Sharitz 2006, Keddy 2010). structure and functioning of populations and In the Paraná River Basin, fire has been communities, as well as general ecosystem used historically as a management practice for features (Grime 1979, Keddy 2010). Plant wildlife hunting and for the elimination of spe- community response to fire also depends on cies with little or no forage value (Brinson and the occurrence of fire in relation to life cycles Malvárez 2002). This practice is used in for- of those species able to invade burned areas, aging lands, especially at the end of winter, to and on the season of the burn, which affects favor growth of tender and more palatable biomass available as fuel (Laubhan 1995, grasses, and the area affected by these fires Turner et al. 1998). Fire becomes important usually is around a few hectares in size, favor- during prolonged periods of drought. Low in- ing habitat patchiness. Fire is also used, with tensity fires can simply remove aboveground much less frequency, after summer season and biomass, shift composition from woody to her- over the autumn. During the last decade, soy- baceous wetlands, and increase plant diversity bean agricultural expansion resulted in the (Thompson and Shay 1988). conversion of many cattle ranches into soy- Direct effects of fire and the overall chang- bean fields (Aznar et al. 2011). This created es to the ecosystem can both lead to short-, the need for new grassland fields for cattle medium-, and long-term changes in the soil ranches, mainly in what were previously con- (Doerr and Cerda 2005). Physical, chemical, sidered marginal lands, like wetlands. As a and biological soil properties can be altered by consequence, the encroachment of cattle ranch fires (Neary et al. 2009, Úbeda and Outeiro activities promotes an increase in fire events in 2009). The magnitude and duration of these the Paraná floodplain, threatening ecosystem changes depend on factors like fire severity, health as well as goods and services provided peak temperature, and soil type. During severe by these wetlands. fires, the most typical effects are loss of organ- The Paraná River wetlands usually store ic matter and nutrients through volatilization, large amounts of carbon in aboveground plant ash entrapment in smoke columns, leaching biomass, but also in soil layers, given the high and erosion, alterations of microbial communi- productivity and low decomposition rates that ties, and deterioration of soil structure by af- occur when there is a sustained presence of a fecting aggregate stability (Mataiz-Solera and water table over the mineral soil surface (Mitra Cérda 2009). Hydrological and biogeochemi- et al. 2005, Ma and Lu 2008). Sequestration cal cycles in the post-fire period are dependent of carbon above the soil surface creates fuel on the status of the soil surface. Reduction in Fire Ecology Volume 8, Issue 2, 2012 Salvia et al.: Post-Fire Effects in Wetland Environments doi: 10.4996/fireecology.0802017 Page 19 vegetation cover will also lead to changes in nal bands or indices (Milne 1986, Miller and soil thermal regime and, in general, higher soil Yool 2002), using active fire detections (Jus- and water losses (Certini 2005). tice et al. 2002, Giglio et al. 2003), spectral Besides affecting ecosystem structure, fire mixing analysis (Cochrane and Souza 1998, also impacts ecosystem function and conse- Gonzalez-Alonso et al. 2007), and time series quently the goods and services provided by analysis (Milne 1986, Roy et al. 2002, Roy et wetlands. Carbon storage, flood dampening, al. 2005). At regional to global scales, the de- and habitat for wildlife are among key wetland tection of burned areas using satellite data has ecosystem services (Järvellä 2003, Baigun et been traditionally carried out by the Advanced al. 2008, Kandus et al. 2010, Vicari et al. Very High Resolution Radiometer (AVHRR) 2011) that are affected by varying fire severity because of its high temporal resolution (Lal 2007, Salvia et al. 2009a). (Kaufman et al. 1990, Chuvieco et al. 2008). Fire severity describes the magnitude of However, the focus of AVHRR-fire studies to the disturbance and reflects the degree of date have been on terrestrial ecosystems like change in ecosystem components (Neary et al. forests (Briz et al. 2003, Falkowski et al. 1999). From a landscape perspective, post-fire 2005), grasslands (Kauffman et al. 1994, 1998; assessment involves the estimation of the af- Mohler and Goodin 2010), or shrublands (Lo- fected area, but also the spatial distribution of zano et al. 2007). Few works are available on burned patches and patch severity damage in wetlands (Ramsey et al. 2002, Cassidy 2007), terms of fuel consumption in fires (Lentile et probably due to their reduced area, natural al. 2006, Keeley 2009). Achieving a detailed fragmentation, and difficulty of access. and rapid knowledge of the degree of environ- During 2008, under an extended drought, mental change caused by fire in terms of the there were a large number of simultaneous level of damage and its spatial distribution is fires in the lower Paraná floodplain, named the essential in order to quantify the impact of fires Paraná River Delta (Figure 1). Given the fact (van Wagtendonk et al. 2004), select and pri- that fire is a common practice on South Ameri- oritize treatments applied on any site (Patter- can floodplains, which is a potential risk to son and Yool 1998, Bobbe et al. 2001), plan wetland health, the objective of this paper was and monitor activities of restoration and recov- to analyze the effect of fires that occurred dur- ery, and finally, provide baseline information for future monitoring (Brewer et al. 2005). In this way, maps derived from remote sensing data are widely recognized as power- ful tools in fire ecology studies at landscape scales, and indeed in most fire-related land management programs, because they can de- scribe spatial patterns of severity of fire events (Kremens et al.
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