Classification of South Brazilian grasslands Implications for conservation

Aims We offer a first classification of South Brazilian grasslands (Campos Sulinos) based on quantitative vegetation data and describing grassland types in terms of dominant and indicator species. Location South Brazilian grasslands (Paraná, Santa Catarina, Rio Grande do Sul states). Methods We desc...

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Vydáno v:	Applied vegetation science Ročník 22; číslo 1; s. 168 - 184
Hlavní autoři:	Andrade, Bianca O., Bonilha, Camila L., Overbeck, Gerhard E., Vélez-Martin, Eduardo, Rolim, Rosângela G., Bordignon, Sérgio Augusto L., Schneider, Angelo A., Ely, Cleusa Vogel, Lucas, Dióber B., Garcia, Élen N., dos Santos, Emily D., Torchelsen, Fábio P., Vieira, Mariana S., Filho, Pedro J. S. Silva, Ferreira, Pedro M. A., Trevisan, Rafael, Hollas, Raquel, Campestrini, Sérgio, Pillar, Valério D., Boldrini, Ilsi I.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Malden Wiley 01.01.2019 Wiley Subscription Services, Inc
Témata:	Atlantic Forest biome Brazil Brazilian Highland grasslands Classification Cluster analysis Conservation Design standards Dominance Ecosystems Environmental policy floristic pattern forests grassland Grasslands grazing Indicator species Introduced species issues and policy Pampa biome Paspalum notatum phytogeography Sampling Sampling designs southern Brazil species diversity Vegetation VEGETATION SURVEY Wildlife conservation Brazil
ISSN:	1402-2001, 1654-109X
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Abstract	Aims We offer a first classification of South Brazilian grasslands (Campos Sulinos) based on quantitative vegetation data and describing grassland types in terms of dominant and indicator species. Location South Brazilian grasslands (Paraná, Santa Catarina, Rio Grande do Sul states). Methods We described vegetation plots in 167 sampling units throughout the region using a stratified nested design, totalizing 1,502 1 m² quadrats. We classified vegetation using cluster analysis based on Bray–Curtis dissimilarities, establishing three vegetation types and ten subtypes. We conducted indicator species analysis within the resulting subtypes, and for all possible combinations of subtypes. Results In the cluster analyses, a clear separation of poorly drained grasslands from the drier sites appeared. Further, a clear distinction between grasslands in the South Brazilian highland region, situated in the Atlantic Forest biome, and the grasslands of the Pampa biome, to the south, emerged, reflecting climatic and management differences. Highland grasslands showed lower species cover dominance, while in the Pampa, Paspalum notatum clearly was the most important species and the abundance of exotic species was higher. Conclusions Our study provides the first classification of South Brazilian grasslands based on quantitative vegetation data recorded in a standardized sampling design. The data support the division of grasslands into the main phytogeographic units of the region (Brazilian biome classification). Grasslands in these two regions also differ in terms of species dominance pattern (higher dominance in Pampa grasslands, likely also due to higher grazing levels) and in terms of conservation state (low presence of exotic species in highland grasslands). Our results are important for conservation policies, which can now consider the presence of different grassland types in different region, but more data will be necessary for a more detailed classification that considers different abiotic features in more detail. Subtropical mesic to poorly drained grassland communities from South Brazil were classified for the first time based on quantitative data. Three vegetation types and ten subtypes corresponding to the mesic grasslands in the highland region and the mesic and humid grasslands in the Pampa biome were found. Grassland subtypes differ in terms of species dominance pattern and conservation state.
AbstractList	AIMS: We offer a first classification of South Brazilian grasslands (Campos Sulinos) based on quantitative vegetation data and describing grassland types in terms of dominant and indicator species. LOCATION: South Brazilian grasslands (Paraná, Santa Catarina, Rio Grande do Sul states). METHODS: We described vegetation plots in 167 sampling units throughout the region using a stratified nested design, totalizing 1,502 1 m² quadrats. We classified vegetation using cluster analysis based on Bray–Curtis dissimilarities, establishing three vegetation types and ten subtypes. We conducted indicator species analysis within the resulting subtypes, and for all possible combinations of subtypes. RESULTS: In the cluster analyses, a clear separation of poorly drained grasslands from the drier sites appeared. Further, a clear distinction between grasslands in the South Brazilian highland region, situated in the Atlantic Forest biome, and the grasslands of the Pampa biome, to the south, emerged, reflecting climatic and management differences. Highland grasslands showed lower species cover dominance, while in the Pampa, Paspalum notatum clearly was the most important species and the abundance of exotic species was higher. CONCLUSIONS: Our study provides the first classification of South Brazilian grasslands based on quantitative vegetation data recorded in a standardized sampling design. The data support the division of grasslands into the main phytogeographic units of the region (Brazilian biome classification). Grasslands in these two regions also differ in terms of species dominance pattern (higher dominance in Pampa grasslands, likely also due to higher grazing levels) and in terms of conservation state (low presence of exotic species in highland grasslands). Our results are important for conservation policies, which can now consider the presence of different grassland types in different region, but more data will be necessary for a more detailed classification that considers different abiotic features in more detail. AimsWe offer a first classification of South Brazilian grasslands (Campos Sulinos) based on quantitative vegetation data and describing grassland types in terms of dominant and indicator species.LocationSouth Brazilian grasslands (Paraná, Santa Catarina, Rio Grande do Sul states).MethodsWe described vegetation plots in 167 sampling units throughout the region using a stratified nested design, totalizing 1,502 1 m² quadrats. We classified vegetation using cluster analysis based on Bray–Curtis dissimilarities, establishing three vegetation types and ten subtypes. We conducted indicator species analysis within the resulting subtypes, and for all possible combinations of subtypes.ResultsIn the cluster analyses, a clear separation of poorly drained grasslands from the drier sites appeared. Further, a clear distinction between grasslands in the South Brazilian highland region, situated in the Atlantic Forest biome, and the grasslands of the Pampa biome, to the south, emerged, reflecting climatic and management differences. Highland grasslands showed lower species cover dominance, while in the Pampa, Paspalum notatum clearly was the most important species and the abundance of exotic species was higher.ConclusionsOur study provides the first classification of South Brazilian grasslands based on quantitative vegetation data recorded in a standardized sampling design. The data support the division of grasslands into the main phytogeographic units of the region (Brazilian biome classification). Grasslands in these two regions also differ in terms of species dominance pattern (higher dominance in Pampa grasslands, likely also due to higher grazing levels) and in terms of conservation state (low presence of exotic species in highland grasslands). Our results are important for conservation policies, which can now consider the presence of different grassland types in different region, but more data will be necessary for a more detailed classification that considers different abiotic features in more detail. Aims We offer a first classification of South Brazilian grasslands (Campos Sulinos) based on quantitative vegetation data and describing grassland types in terms of dominant and indicator species. Location South Brazilian grasslands (Paraná, Santa Catarina, Rio Grande do Sul states). Methods We described vegetation plots in 167 sampling units throughout the region using a stratified nested design, totalizing 1,502 1 m² quadrats. We classified vegetation using cluster analysis based on Bray–Curtis dissimilarities, establishing three vegetation types and ten subtypes. We conducted indicator species analysis within the resulting subtypes, and for all possible combinations of subtypes. Results In the cluster analyses, a clear separation of poorly drained grasslands from the drier sites appeared. Further, a clear distinction between grasslands in the South Brazilian highland region, situated in the Atlantic Forest biome, and the grasslands of the Pampa biome, to the south, emerged, reflecting climatic and management differences. Highland grasslands showed lower species cover dominance, while in the Pampa, Paspalum notatum clearly was the most important species and the abundance of exotic species was higher. Conclusions Our study provides the first classification of South Brazilian grasslands based on quantitative vegetation data recorded in a standardized sampling design. The data support the division of grasslands into the main phytogeographic units of the region (Brazilian biome classification). Grasslands in these two regions also differ in terms of species dominance pattern (higher dominance in Pampa grasslands, likely also due to higher grazing levels) and in terms of conservation state (low presence of exotic species in highland grasslands). Our results are important for conservation policies, which can now consider the presence of different grassland types in different region, but more data will be necessary for a more detailed classification that considers different abiotic features in more detail. Subtropical mesic to poorly drained grassland communities from South Brazil were classified for the first time based on quantitative data. Three vegetation types and ten subtypes corresponding to the mesic grasslands in the highland region and the mesic and humid grasslands in the Pampa biome were found. Grassland subtypes differ in terms of species dominance pattern and conservation state.
Author	Schneider, Angelo A. Hollas, Raquel Andrade, Bianca O. Rolim, Rosângela G. Ely, Cleusa Vogel Vélez-Martin, Eduardo Lucas, Dióber B. Trevisan, Rafael Torchelsen, Fábio P. Bordignon, Sérgio Augusto L. dos Santos, Emily D. Garcia, Élen N. Boldrini, Ilsi I. Bonilha, Camila L. Vieira, Mariana S. Ferreira, Pedro M. A. Overbeck, Gerhard E. Filho, Pedro J. S. Silva Pillar, Valério D. Campestrini, Sérgio
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ContentType	Journal Article
Copyright	2018 International Association for Vegetation Science Copyright © 2019 International Association for Vegetation Science
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Notes	Funding information research network is supported by CNPq/MCTIC through the PPBio program. Campos Sulinos This work is part of a SISBIOTA project funded by CNPq/Fapergs (grants 563271/2010‐8 and 11/2185‐0 to V.D.P.). G.E.O., I.I.B. and V.D.P. received CNPq productivity grants (respectively, grants 310022/2015‐0, 309934/2015‐0 and 307689/2014‐0), and B.O.A. and E.V.M. post‐doctorate grants from CAPES and MCTIC. The ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23
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Publisher	Wiley Wiley Subscription Services, Inc
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Snippet	Aims We offer a first classification of South Brazilian grasslands (Campos Sulinos) based on quantitative vegetation data and describing grassland types in... AimsWe offer a first classification of South Brazilian grasslands (Campos Sulinos) based on quantitative vegetation data and describing grassland types in... AIMS: We offer a first classification of South Brazilian grasslands (Campos Sulinos) based on quantitative vegetation data and describing grassland types in...
SourceID	proquest crossref wiley jstor
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StartPage	168
SubjectTerms	Atlantic Forest biome Brazil Brazilian Highland grasslands Classification Cluster analysis Conservation Design standards Dominance Ecosystems Environmental policy floristic pattern forests grassland Grasslands grazing Indicator species Introduced species issues and policy Pampa biome Paspalum notatum phytogeography Sampling Sampling designs southern Brazil species diversity Vegetation VEGETATION SURVEY Wildlife conservation
Subtitle	Implications for conservation
Title	Classification of South Brazilian grasslands
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Volume	22
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