UNIVERSIDADE FEDERAL DE SANTA MARIA CENTRO DE CIÊNCIAS NATURAIS E EXATAS PROGRAMA DE PÓS-GRADUAÇÃO EM AGROBIOLOGIA GRASSLAND COMMUNITIES CHARACTERIZATION UNDER DIFFERENT GRAZING FREQUENCIES DISSERTAÇÃO DE MESTRADO Fernando Forster Furquim Santa Maria, RS, Brasil. 2016 GRASSLAND COMMUNITIES CHARACTERIZATION UNDER DIFFERENT GRAZING FREQUENCIES Fernando Forster Furquim Dissertação apresentada ao Curso de Mestrado do Programa de Pós-Graduação em Agrobiologia, da Universidade Federal de Santa Maria (UFSM, RS), como requisito parcial para obtenção do grau de Mestre em Agrobiologia Orientador: Prof. Dr. Fernando Luiz Ferreira de Quadros Santa Maria, RS, Brasil. 2016 Universidade Federal de Santa Maria Centro de Ciências Rurais Programa de Pós Graduação em Zootecnia A comissão examinadora, abaixo assinada, aprova a Dissertação de Mestrado GRASSLAND COMMUNITIES CHARACTERIZATION UNDER DIFFERENT GRAZING FREQUENCIES elaborada por Fernando Forster Furquim Como requisito parcial para obtenção do grau de Mestre em Agrobiologia Santa Maria, 15 de Agosto de 2016. DEDICATÓRIA Ao meu vô, Mario Cardoso Furquim (in memorian), pelas virtudes que me transmitiu e, principalmente, pelo Amor que me foi dado. Sou eternamente grato pelos nossos anos de convivência que, com absoluta certeza, foram incríveis. Te dedico, Vô, mais esta conquista! (Que saudade de ti!) AGRADECIMENTOS Agradeço, primeiramente, àqueles que são o meu maior motivo de felicidade: meus pais – Mario e Isabel – e minha irmã – Gabrielli. Obrigado por todo amor, carinho e incentivo! Vocês são tudo para mim! Amo vocês! À minha Vovó Nair, por todo amor, carinho e zelo! À Ana Carolina Bankow Mayer, por todo carinho, paciência e compreensão para comigo. É uma alegria imensa te ter ao meu lado! :F Ao professor Fernando Quadros, pela oportunidade proporcionada em mais esta etapa da minha vida profissional. Ao doutor José Pedro Pereira Trindade, pelo suporte logístico e pelas valiosas conversas científicas-filosóficas. Ao Clodoaldo Leites Pinheiro, pela ajuda em prol da plena execução do experimento. Meu amigo, muitíssimo obrigado! À Gabriela Machado Dutra, minha parceira de POT30 e de tantas outras indiadas. Muito obrigado por toda ajuda, parceria e boa vontade! Que nossa parceria perdure por infinitos outros experimentos! Aos professores Gerhard Ernst Overbeck e Ilsi Iob Boldrini, pelas valiosas contribuições para com a condução do experimento. Ao professor John Derek Scasta, por toda atenção dispensada para com a meu trabalho. Tuas sugestões, comentários e correções foram importantíssimas! Aos doutores Stéphane Dray, Pedro Higuchi e Peter Borchardt, pelo auxílio nas análises estatísticas. À “Ramiro Família”, por toda atenção e cuidado durante o meu mestrado. Ao amigo Augusto - conhecedor das potencialidades dos “campos de Deus” -, pelos mates e pelo compartilhamento de vivências de vida e de campo madrugadas adentro. Às plantas! Seres incríveis e fascinantes que me provêm inúmeras oportunidades de aprendizado. The lunatic is on the grass The lunatic is on the grass Remembering games and daisy chains and laughs Got to keep the loonies on the path (Brain Damage – Pink Floyd) RESUMO Dissertação de Mestrado Programa de Pós–Graduação em Agrobiologia Universidade Federal de Santa Maria GRASSLAND COMMUNITIES CHARACTERIZATION UNDER DIFFERENT GRAZING FREQUENCIES AUTOR: FERNANDO FORSTER FURQUIM ORIENTADOR: FERNANDO LUIZ FERREIRA DE QUADROS Data e Local da Defesa: Santa Maria, 15 de Agosto de 2016. O bioma Pampa é um ecossistema natural com uma grande biodiversidade e recurso forrageiro para os rebanhos. O manejo do pastoreio é uma ferramenta através da qual nós podemos integrar produção animal e conservação de recursos provendo benefícios para todos os participantes do sistema produtivo. Nesse contexto, os objetivos deste trabalho foram: (identificar um padrão espacial de distribuição das comunidades de plantas; (2) identificar diferença entre a composição de espécies vegetais; (3) identificar espécies de plantas com potencial para caracterizar diferentes manejos de pastoreio; e (4) analisar a co-ocorrência entre espécies indicadoras e outras espécies de plantas numa pastagem do bioma Pampa. Foram analizados os efeitos de três diferentes métodos de pastoreio no padrão de distribuição das espécies de plantas. Foi observado um padrão bem definido de distribuição de comunidades de plantas apenas no manejo sem pastejo. Foram identificadas diferenças na composição de espécies de plantas entre todos os manejos. As espécies indicadoras e suas coocorrências com outras espécies de plantas podem ser úteis para a compreensão sobre a interação planta-herbívoro e planta-planta. Palavras-chave: Campos Sulinos. Composição de espécies. Co-ocorrência de espécies. Espécies indicadoras. ABSTRACT Dissertação de Mestrado Programa de Pós–Graduação em Zootecnia Universidade Federal de Santa Maria GRASSLAND COMMUNITIES CHARACTERIZATION UNDER DIFFERENT GRAZING FREQUENCIES AUTHOR: FERNANDO FORSTER FURQUIM ADVISOR: FERNANDO LUIZ FERREIRA DE QUADROS Date and place of the defense: Santa Maria, August 15th, 2016. The Pampa biome is a natural ecosystem with a large biodiversity and forage resource to livestock production. Grazing management is a tool through which we can integrate livestock grazing and resource conservation providing benefits for all participants of production system. In this context, the objectives of this work were: (1) to identify a spatial pattern of plant communities’ distribution; (2) to find differences between plant species composition; (3) to identify plant species with potential to characterize different grazing managements; and (4) to analyze co-occurrence between indicator plant species with others plant species in a Pampa biome grassland. Three grazing managements’ effects on plant species patterns were analyzed. A defined pattern of plant communities’ distribution was only observed in ungrazed management. Difference on plant species composition between all managements was identified. Indicator plant species and its co-occurrence with others plant species seems useful for comprehension about plant-grazer and plant-plant interactions. Keywords: Indicator species. Southern Campos. Species composition. Species co-occurrence. SUMMARY INTRODUCTION .................................................................................................................... 10 METHODS ............................................................................................................................... 12 Experimental area and land use history ................................................................................ 12 Grazing management ............................................................................................................ 13 Vegetation sampling ............................................................................................................. 14 Data analysis ......................................................................................................................... 15 Principal Coordinates Analysis ......................................................................................... 15 Plant species composition .................................................. Erro! Indicador não definido. Cover of species life forms and Eragrostis plana; and canopy height ............................. 16 Indicator species analysis .................................................................................................. 16 Co-occurrence species analysis ......................................................................................... 17 RESULTS ................................................................................................................................. 18 Vegetation sampling ............................................................................................................. 18 Principal Coordinates Analysis ............................................................................................. 18 Plant species composition ..................................................................................................... 19 Indicator species analysis ...................................................................................................... 21 Co-occurrence species analysis ............................................................................................ 21 DISCUSSION........................................................................................................................... 23 CONCLUSIONS AND IMPLICATIONS ............................................................................... 28 REFERENCES ......................................................................................................................... 29 APPENDIX A.......................................................................................................................... 42 CONCLUSÕES....................................................................................................................... 43 10 1 INTRODUCTION 2 3 The Pampa is a natural ecosystem with a large biodiversity (Bilenca & 4 Miñarro, 2004) and forage resource to livestock production (Carvalho and 5 Batello, 2009). The successful use and conservation of this ecosystem is 6 straight related with sustainable land-use, which could provide an equilibrium 7 between biodiversity and forage production (Jacobo et al., 2006; Overbeck, 8 2007). Grazing management is a tool through which we can integrate livestock 9 grazing and resource conservation providing benefits for all participants of 10 production systems (Bailey, 2005; Da Trindade et al., 2012). 11 Briske et al. (2008) define as goal of grazing systems the increase 12 production by providing conditions (i.e. capture of light and nutrients) to plant 13 species growth and by enabling livestock to select forage more efficiently. 14 Frequency and intensity of grazing alters plant species composition (Altesor et 15 al., 2005; Jacobo et al., 2006; Oesterheld and Semmartin, 2011; Overbeck, 16 2014; Da Trindade et al., 2016), which reflects on forage quality and animal 17 performance (Searle et al., 2007). 18 Distribution of plant communities along different grazing managements: 19 (1) can evidence changes on species composition (Boldrini and Eggers, 1996; 20 Altesor et al., 2006; Jacobo 21 nutritional acquirement decision of grazers given spatial arrangement of 22 palatable and unpalatable species (Barnes et al., 2008; Laca et al., 2011); 23 and, (3) can be used as predictor of degradation processes (Carvalho and 24 Batello, 2009). Considering these items, identification and description of et al., 2006; Overbeck, 2014); (2) affects 11 25 grazing disturbances’ effects by plant descriptors are needed to develop 26 management tools that combine biodiversity maintenance and forage 27 efficiency (Ewald, 2003; Paruelo et al., 2004; Lezama et al., 2006). 28 Our objectives in this article were: (1) to identify a spatial pattern of plant 29 communities’ distribution; (2) to find differences between plant species 30 composition; (3) to identify plant species with potential to characterize different 31 grazing managements; and (4) to analyze co-occurrence between indicator 32 plant species with others plant species in a Pampa biome grassland. 12 33 METHODS 34 35 Experimental area and land use history 36 The experiment was conducted in a natural grassland of Pampa biome 37 belonging to Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA) – 38 Pecuária Sul Unit, located at Bagé city (31° 18' S, 53° 57' W) in Rio Grande do 39 Sul, the southernmost Brazilian state. The area is situated in an ecotonal 40 transition zone between the Campanha and Serra do Sudeste physiographic 41 regions and the soils are Vertisols and Luvisols (STRECK et al, 2008). The 42 altitude is 214.2 m and the climate is classified as temperate and humid 43 according to the Köpen classification with the 30 year historical mean 44 precipitation of 1446.2 mm and mean temperatures of 18.7 ºC (INMET, 2015). 45 This vegetation survey was conducted from December 2014 to February 2015. 46 During this period the mean temperature was 23.4 ºC and total rainfall 47 accumulation was 448.6 mm (INMET, 2015). 48 The area has no history of mechanized agriculture or tillage. During the 49 last 40 years, the land has been used primarily for cattle and sheep grazing at 50 low stocking rates (< 0.5 animal unit ha-1). Before experiment installation, the 51 vegetation was dominated by Acanthostyles buniifolius (Hook. ex Arn.) R.M. 52 King & H. Rob., Eragrostis plana Ness, Eryngium horridum Malme and 53 Saccharum angustifolium (Ness) Trin.. 13 54 55 Grazing management 56 From June of 2012, the experimental area was completely excluded 57 from grazing of large herbivores and was subdivided into five separate 58 paddocks that were managed with three treatments: two grazing methods 59 (continuous stocking (CONT) and rotational stocking (ROT)) and an excluded 60 area (EXCL). Two paddocks were managed with CONT (4.9 ha each) and two 61 with ROT (5.6 ha each). Each paddock managed with ROT was subdivided 62 into eight sub-paddocks of 0.7 ha each. The EXCL paddock was 3.0 ha. 63 Grazing in CONT and ROT started in February of 2013. 64 In ROT management, the rotational criteria for grazing intervals were the 65 accumulative thermal sum of 375 degree-days (degree Celsius per day; DD). 66 This criteria is based on the requirements for for leaf elongation duration of 2.5 67 leaves per tiller of grasses for two functional groups: functional group A (e.g. 68 Axonopus affinis Chase) and functional group B (e.g. Paspalum notatum 69 Flügge), both characterized as resources capture grasses (Cruz et al, 2010). 70 To define the rest interval in ROT management, mean phyllochron (time in DD 71 for complete leaf elongation) of functional groups A and B (150 DD) was 72 multiplied by the number of expanding leaves per tiller, generating the rest 73 periods of each sub-paddock. The number of expanding leaves of the grasses 74 in the functional groups is related to plant genetic traits and defines the time of 75 rest intervals (Cruz et al., 2010). Thus, the occupation period was defined by 76 dividing rest intervals (in thermal sum) of ROT management by the number of 14 77 sub-paddocks minus one (sub-paddock under occupation), resulting in the 78 time, in Celsius degrees, of occupation of each sub-paddock. In all grazing 79 treatments we used 18 month old Brangus heifers and in CONT management 80 heifers remained in the same paddock for the duration of the study. 81 A forage allowance (FA) of 12 % of the total available forage biomass 82 available was allocated to the heifers (FMa; kg DM ha-1). The stocking rate 83 (SR) was adjusted considering the following equation: SR = ((FMa / N) + FAR) 84 / FA. Where, FMa is the forage mass available; N is the number of days in a 85 paddock; FAR is the forage accumulation rate; FA is the forage allowance of 86 12 %. In CONT management, the N used was the period between two 87 evaluations. In ROT management, the N used was the average number of 88 occupation days in each sub-paddock, during each period. 89 For estimative of forage accumulation rate (FAR, kg DM ha-1 day-1), we 90 allocated three exclusion cages from grazing in each paddock and used the 91 equation proposed by Campbel (1966), as following described: FAR = (FMin – 92 FMout) / n. Wherein, FMin (kg DM ha-1) is the forage mass inside the exclusion 93 cage; FMout (kg DM ha-1) is the forage mass outside the exclusion cage; n is 94 the number of days between evaluations. 95 96 Vegetation sampling 97 Fifty transects with 1.25 m² of area (0.50 m × 2.50 m) were demarcated 98 in the experimental area: 20 in ROT, 20 in CONT and 10 in EXCL. Each 15 99 transect was subdivided into five plots with 0.25 m² of area (0.50 m × 0.50 m). 100 Each vascular plant species in the plot was identified to the lowest possible 101 taxonomic level and unknown specimens were collected and later identified 102 using several regional taxonomic keys. We used the modified Londo-scale 103 (LONDO, 1976) cover classes (< 1 %; 1-3 %; 3-5 %; 5-15 %; 15-25 %; 25-35 104 %; 35-45 %; 45-55 %; 55-65 %; 65-75 %; 75-85 %; 85-95 %; 95-100 %) to 105 estimate abundance and canopy cover of each vascular plant species. We 106 also measured canopy height of each plot using a graduated ruler (Barthram, 107 1985). 108 109 Data analysis 110 111 Principal Coordinates Analysis 112 We performed an ordination, via Principal Coordinates Analysis (PCoA), 113 aiming to identify and interpret distribution patterns by projecting onto the 114 ordination diagram the species’ cover distribution per transect (i.e. plant 115 community). The ordination was based on chord distance (Podani, 2000) 116 between transects with the vegdist and cmdscale functions of the ‘vegan’ and 117 ‘stats’ packages in R statistical software (Oksanen et al., 2016; R 118 Development Core Team 2015). Species were selected to include in the 119 diagram according to its cover values and correlations with the ordination 120 axes. 121 16 122 123 Cover of species life forms, palatable species and Eragrostis plana; and 124 canopy height 125 We grouped cover of species according to: (1) its life form based on 126 classification used by Altesor et al. (2005); and (2) its palatability based on 127 adaptions from Rosengurt (1976) and our field observations (e.g. animal 128 grazing preference). We also included cover of Eragrostis plana (the main 129 invader species on Pampa biome) and canopy height. 130 131 Indicator species analysis 132 In order to reveal indicator species that characterize the subsequent 133 effects of different grazing treatments, we conducted Indicator Species 134 Analysis (Dufrêne and Legendre, 1997) using ‘indicspecies’ package (De 135 Cáceres and Jansen, 2012; R Development Core Team 2015). We selected 136 as candidates those species occurring in at least 10 % of the sampling units 137 (i.e. transects) to reduce the number of combinations being explored. From the 138 candidate species, we allowed combinations of up to five species, meaning we 139 considered as potential indicators all singles and possible pairs, triplets, 140 quartets and quintets. The indicators function was used to calculate indicator 141 specificities (A) and sensitivities (B) according to De Cáceres and Legendre 142 (2009). Indicators were considered valid when A > 0.5 and B > 0.5 (De 143 Cáceres et al. 2012; Bachand et al. 2014). For parsimony to further reduce the 144 possible indicators, the pruneindicators function was used to: (1) discard final 17 145 indicators whose occurrence patterns were nested within other final indicators, 146 and (2) evaluate coverage (i.e., the proportion of sites in a target reference 147 group where at least one of the final indicators is present) of the remaining 148 indicators by progressively increasing numbers of indicators until reaching a 149 subset with the same coverage as the complete set, up to a maximum of five 150 indicators (De Cáceres et al. 2012). 151 152 Co-occurrence species analysis 153 Relative cover data were used to obtain the probability of pairwise 154 species co-occurrence in order to find evidence of whether the communities 155 organizing processes were due to random or structured patterns. We used the 156 methodology proposed by Veech (2013) which has lower Type I and II errors 157 than null models and was appropriate to our matrix given the large number of 158 vascular plant species in our study (Griffith et al., 2014). For the co-occurrence 159 analysis, we used only the pairs of species with expected co-occurrence 160 greater than 1. This analysis was performed for CONT, EXCL and ROT 161 grazing managements using ‘cooccur’ package (Griffith et al., 2016; R 162 Development Core Team 2015) and its pair function (which extracts results for 163 a single species from co-occurrence analysis) for indicator species of each 164 management. 165 18 166 RESULTS 167 168 Vegetation sampling 169 In CONT transects, we recorded 116 species; in EXCL, 85 species; and 170 in ROT, 108 species. In all three grazing managements, most numerous 171 botanical genus belong, respectively, to Poaceae and Asteraceae families 172 (Appendix A). 173 174 Principal Coordinates Analysis 175 176 The first and second axes of Principal Coordinates Analysis explained, 177 respectively, 22.90 % and 17.82 % of total variation of plant communities (Fig. 178 2). 19 179 Figure 2 - Principal Coordinates ordination diagram showing first two axes of 180 plant communities’ distribution and the spatial position of grazing 181 managements’ dominant species. Legends: CONT (Δ), EXCL (×) 182 and ROT (○). Cover dominant species (●). Legends: Acbu: A. 183 buniifolius; Anlan: A. lanata; Axaf: A. affinis; Axar: A. argentinus; 184 Ereb: E. eburneum; Erho: E. horridum; Erpl: E. plana; Mnse: M. 185 selloana; Pano: P. notatum; Papu: P. pumilum; Paqu: P. 186 quadrifarium; Saan: S. angustifolium. 187 188 It was possible to identify a well-defined pattern in communities’ 189 distribution mainly in EXCL management, which was positioned along positive 190 portion of Axis 2. It was obtained a pattern that most of the units of CONT 191 management was positioned at the right of Axis 1 and the majority of ROT was 192 at the left of the same axis. Although it could not be as well-defined as EXCL 193 as we could observe some (i.e. seven) units of the other grazing 194 managements dispersed along the diagram. This could be attributed to other 195 site effects not linked with the grazing gradients evaluated. 196 197 Plant species composition 198 199 Mean cover of life forms was presented in Table 2. Cover of forbs was 200 higher in EXCL and lesser, but similar, between CONT and ROT 201 managements. The cover of graminoids was higher and similar in CONT and 20 202 ROT; and lesser in EXCL. Shrubs cover was greater in EXCL than CONT and 203 ROT; the latters were similar. Cover of palatable species was higher in ROT, 204 intermediate in CONT and lower in EXCL. Cover of Eragrostis plana was 205 similar in ROT and EXCL but different between those and CONT, which had 206 the highest value. Canopy height was similar between CONT and ROT, and 207 higher in EXCL. 208 209 Table 2 Mean cover values and standard deviation of forms of life (forbs, 210 graminoids and shrubs), palatable species and Eragrostis plana 211 cover; mean height (cm) and standard deviation of canopy in 212 different managements 213 CONT EXCL ROT Forbs 19.02 ± 0.60 25.20 ± 1.30 16.12 ± 0.57 Graminoids 77.49 ± 4.59 48.94 ± 3.08 80.31 ± 4.67 Shrubs 3.49 ± 0.63 25.87 ± 6.58 3.56 ± 0.83 Palatable 47.36 ± 2.65 9.31 ± 0.35 71.36 ± 4.82 Eragrostis plana 30.20 ± 0.22 1.56 ± 0.04 6.35 ± 0.07 Canopy height 13.65 ± 7.49 44.72 ± 25.41 11.38 ± 6.82 21 214 Indicator species analysis 215 We obtained two single indicator species for each management 216 totalizing six different species. Four of them were from Poaceae family and two 217 were from Asteraceae family (Table 3). 218 219 Table 3 Indicator species analysis, where A is specificity, B is sensitivity, sqrtIV 220 is square root of the indicator value and Cover is pooled coverage 221 (%). Management CONT Final indicators A B sqrtIV Eragrostis plana* 0.81 0.95 0.88 Aspilia montevidensis† 0.55 0.80 0.66 Achantostyles buniifolium† 0.81 0.80 0.81 Saccharum angustifolium* 0.73 0.70 0.71 Axonopus affinis* 0.76 0.90 0.83 Cover 100 EXCL 100 ROT 100 * Paspalum notatum 222 * Poaceae 223 † Asteraceae 0.57 0.95 0.74 family family 224 225 Co-occurrence species analysis 226 The species co-occurrence analysis showed that, in CONT, Aspilia 227 montevidensis had positive co-occurrence with Axonopus argentinus (p = 228 0.0433). In EXCL, it was observed a positive co-occurrence of Acanthostyles 229 buniifolius with Baccharis crispa Spreng. (p = 0.0222) and Paspalum 22 230 plicatulum Michx. (p = 0.0222). In ROT management, Axonopus affinis had 231 negative co-occurrence with Baccharis coridifolia DC. (p = 0.0158) and 232 Eryngium nudicaule Lam. (p = 0.0158). 233 Other management’s indicator species (i.e. Eragrostis plana (CONT), 234 Saccharum angustifolium (EXCL) and Paspalum notatum (ROT)) did not 235 showed neither positive nor negative co-occurrence with other species. 236 23 237 DISCUSSION 238 239 In EXCL management, due to the great efficacy in light capture, tall-plants (i.e. 240 Acanthostyles buniifolius, Anthaenantia lanata, Eryngium eburneum, Eryngium 241 horridum, Paspalum quadrifarium and Saccharum angustifolium; Fig. 1) were 242 dominant while short-plants were subdued to shading (Sala, 1988; Boldrini and 243 Eggers, 1996; Altesor et al., 2006). The latter disfavors the full maintenance of the 244 vital activities of short plant species, causing replacement of these species by few 245 species with larger, horizontal and vertical, size (Sala, 1986; Sala, 1988; Rambo and 246 Faeth, 1999; Kuijper et al., 2008). This provide a close proximity between plant 247 communities of EXCL management along the positive portion of Axis 2 (Fig. 1), 248 reducing the heterogeneity of this management. 249 which can be observed in our results through: (1) highest values of canopy 250 height (Table 2); (2) dominance of tall-size species; (3) proximity between plant 251 communities along the positive portion of Axis 2; and (4) indicator species (Table 3) 252 (Acanthostyles buniifolius (shrub) and Saccharum angustifolium (caespitous-grass). 253 The EXCL management had higher shrub cover when compared to grazed 254 managements. Similar results were obtained by Cabral et al. (2003), Altesor et al. 255 (2006), De Villalobos and Zalba (2010), Lezama et al. (2014), where areas excluded 256 from grazing of large herbivores experienced a shrub encroachment. This process 257 creates a microenvironment under shrub’s canopy, reducing solar radiation, air 258 temperature and wind speed when compared with an open site (Holmgren et al., 259 1997). Possibly, due these changes, Acanthostyles buniifolius provided ideal 260 conditions to establishment of Baccharis crispa and Paspalum plicatulum under its 261 canopy. 24 262 The cover of palatable species in EXCL decreased due absence of grazing 263 and therefore dominance of unpalatable species (i.e. majority of tall-size species). It 264 was also observed a low cover of E. plana in EXCL management. According to Focht 265 and Medeiros (2012), the development of a high and dense canopy structure difficult 266 the spread of this invasive species, which could avoid its expansion. 267 In grazed sites (i.e. CONT and ROT), according to Lemaire (2001), the 268 presence of defoliation events, at community level, reduces the importance of 269 competition for light because: (1) it does not affect only a plant species but also its 270 neighbors; and (2) it can be different according to intensity and frequency of 271 defoliation provided by adopted management criteria. Thus, grazing dynamics can 272 increase 273 (McNaughton, 1983; Adler, 2001) and, in our case, this was confirmed through 274 ordination diagram, wherein it is possible to detect difference between spatial pattern 275 of grazed and ungrazed communities (Fig. 1). heterogeneity of grazed communities at different spatial scales 276 Even in a short time of a specific grazing management (about two-years), all 277 sites (CONT, EXCL and ROT) showed different species composition. We were not 278 expecting major differences between CONT and ROT managements. Probably due 279 to different frequency and intensity of defoliation and trampling events (Belsky, 1992; 280 Olff and Ritchie, 1998), which were more severe in CONT management than ROT, 281 the ordination diagram showed a slightly different pattern. Table 1 reinforced this 282 difference. Thus, as we made for EXCL management, we ran an indicator species 283 analysis in order to evidence, with more reliability, management effects through 284 indicator plant species (Lavorel et al., 1998; Lawton and Gaston, 2001; Cousins and 285 Lindborg, 2004). 25 286 Through this approach, first indicator species of CONT management was 287 Eragrostis plana (Table 3), which have the higher cover in this management (Table 288 2). According to estimates of Medeiros and Focht (2007), around 10 years ago, this 289 specie occupied more than 1 million of hectares in Pampa biome and its expansion 290 rate was estimated as 14,000 ha per year (Carvalho and Batello, 2009). The CONT 291 management can accelerates the biological invasion of E. plana through several 292 trampling of animals (Meeuwig and Packer, 1999) and higher biomass removal of 293 native plants with higher nutritional value; furthermore, decreasing vegetation cover, 294 leading to a soil exposure and, consequently, providing conditions to spread of E. 295 plana (Lonsdale, 1999; Davis et al., 2000; Carvalho and Batello, 2009). 296 Low forage quality of E. plana avoids intense defoliation and, as consequence, 297 the production of panicles is increased from November to March (Medeiros and 298 Focht, 2007; Medeiros et al., 2009; Medeiros et al., 2014). This event occurs when 299 there is a decrease in biomass of high forage quality native species thus, in order to 300 compensate their nutritional requirements, animals turns to consume E. plana, whose 301 less unpalatable part, when it became an adult plant, is its panicle (Medeiros et al., 302 2009). 303 There are three main possibilities to seed destination of E. plana (we adapted 304 from Medeiros et al., 2009 and Medeiros et al., 2014): (1) one fraction accumulates in 305 the soil seed bank; (2) other fraction is ingested by large herbivores, scarified in 306 rumen and distributed locally through feces, with a high concentration of organic 307 matter; and (3) another fraction can be transported, by animals, to other 308 areas/regions. All of these destinations can aggravate or even start a new invasive 309 process, which could be frequently observed in continuous grazing - specially, in 310 overgrazed areas. 26 311 The second indicator species of CONT, Aspilia montevidensis, is a short plant 312 with some coarse green biomass (i.e. low senescent leaves), raised leaves (higher 313 upper leaf’s density) (Blanco et al., 2007). This species is a heliophytic perennial 314 herb that contains xylopodium (Takeda and Farago, 2011) and stages of flowering 315 and fruiting over all year (Biondi et al., 2007). These characteristics allow A. 316 montevidensis to increases its performance with the increase in grazing intensity 317 (Altesor et al., 1998; Blanco et al., 2007). In addition, this species, being unpalatable 318 for cattle, seems to establish an associational avoidance for defoliation with 319 Axonopus argentinus (palatable grass) (Milchunas and Noy-Meir, 2002). All of these 320 species’ characteristics and associations seem to be according to grazing dynamics 321 of CONT management. 322 The ROT management was dominated and indicated by two palatable species 323 of functional groups A and B, respectively: Axonopus affinis and Paspalum notatum. 324 Interaction between characteristics/mechanisms to avoid and/or tolerate grazing 325 disturbance and rest interval criteria, based on physiological characteristics of these 326 functional groups, provides conditions to maintenance and spread of these (Briske 327 and Heidschidt, 1991; Olff and Ritchie, 1998; Loreti et al., 2001; Laca, 2009; 328 Lemaire, 2011; Funk et al., 2016). 329 We obtained, through co-occurrence species analysis, a negative relationship 330 between Axonopus affinis with two species that have physical and chemical 331 characteristics to evade from grazing: Baccharis coridifolia (species with unpalatable 332 secondary compounds; Altesor et al., 1998) and Eryngium nudicaule (species with 333 rosette form, fibrous tissues, unpalatable compounds, leaves almost in ground level; 334 Diaz et al., 1992). Negative co-occurrence of A. affinis and these species seems to 335 be attributed to competition for cover space in grazing-rest intervals existing in ROT 27 336 management. With cover dominance of A. affinis, we could expect that toxic diseases 337 of cattle will be decreased through reduction of toxic species B. coridifolia. 338 Furthermore, some results are important to be highlighted: (1) the higher cover 339 of palatable species in ROT management; and (2) the lower cover of E. plana. The 340 latter, according to Focht and Medeiros (2012), is limited by rotational stocking 341 management through a maintenance of natural grassland residual biomass (with a 342 height near 10 cm), which limits the availability of resources (i.e. water and nutrients). 343 Then, it is possible to observe that barrier to spread of E. plana invasion is 344 dependent on both grazing intensity and frequency. 28 345 CONCLUSIONS AND IMPLICATIONS 346 347 Different grazing managements cause changes on plant communities’ 348 composition even in a short time (i.e. about two years). On natural grasslands 349 of this region, grazing exclusion defines a new pattern of vegetation dynamics 350 leading to a shrub encroachment and tall-size species dominance, while 351 grazed managements leads to a decrease of shrubs and to a dominance of 352 short-plant species. 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Nas pastagens naturais dessa região, a exclusão do pastejo acarreta 646 um novo padrão de vegetação favorecendo a expansão de subarbustos e de 647 plantas de grande porte. O manejo rotativo favorece espécies palatáveis, 648 pode ser usado para o controle de espécies tóxicas (i.e. Baccharis coridifolia) 649 e, junto com a exclusão do pastejo, pode ser usado como uma manejo 650 ecológico para barrar a expansão do Eragrostis plana. O manejo de pastoreio 651 contínuo, entretanto, agrava o processo invasivo do E. plana degradando, 652 assim, a vegetação natural. 653 Para esta região do bioma Pampa, a análise de espécies indicadoras e 654 a co-ocorrência de espécies foram eficientes tanto em custo quanto em 655 tempo. Os seus resultados representaram fidedignamente os efeitos dos 656 diferentes métodos de pastoreio e nos forneceram uma descrição bem 657 detalhada acerca das interações entre planta-herbívoro e planta-planta.
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