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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Veröffentlicht in: | Applied vegetation science 2019-01, Vol.22 (1), p.168-184 |
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creator | 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. |
description | 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. |
doi_str_mv | 10.1111/avsc.12413 |
format | Article |
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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.</description><identifier>ISSN: 1402-2001</identifier><identifier>EISSN: 1654-109X</identifier><identifier>DOI: 10.1111/avsc.12413</identifier><language>eng</language><publisher>Malden: Wiley</publisher><subject>Atlantic Forest biome ; Brazilian Highland grasslands ; Classification ; Cluster analysis ; Conservation ; Design standards ; Dominance ; Ecosystems ; Environmental policy ; floristic pattern ; grassland ; Grassland management ; Grasslands ; Indicator species ; Introduced species ; Pampa biome ; Sampling ; Sampling designs ; southern Brazil ; species diversity ; Vegetation ; VEGETATION SURVEY ; Wildlife conservation</subject><ispartof>Applied vegetation science, 2019-01, Vol.22 (1), p.168-184</ispartof><rights>2018 International Association for Vegetation Science</rights><rights>Copyright © 2019 International Association for Vegetation Science</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3233-471b4ada4553596deb16466bde4c3e4fa60bac1429f70b10b367ddce85a81ed13</citedby><cites>FETCH-LOGICAL-c3233-471b4ada4553596deb16466bde4c3e4fa60bac1429f70b10b367ddce85a81ed13</cites><orcidid>0000-0003-3783-065X ; 0000-0002-8716-5136 ; 0000-0003-2945-1510 ; 0000-0001-6408-2891</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Favsc.12413$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Favsc.12413$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids></links><search><creatorcontrib>Andrade, Bianca O.</creatorcontrib><creatorcontrib>Bonilha, Camila L.</creatorcontrib><creatorcontrib>Overbeck, Gerhard E.</creatorcontrib><creatorcontrib>Vélez-Martin, Eduardo</creatorcontrib><creatorcontrib>Rolim, Rosângela G.</creatorcontrib><creatorcontrib>Bordignon, Sérgio Augusto L.</creatorcontrib><creatorcontrib>Schneider, Angelo A.</creatorcontrib><creatorcontrib>Ely, Cleusa Vogel</creatorcontrib><creatorcontrib>Lucas, Dióber B.</creatorcontrib><creatorcontrib>Garcia, Élen N.</creatorcontrib><creatorcontrib>dos Santos, Emily D.</creatorcontrib><creatorcontrib>Torchelsen, Fábio P.</creatorcontrib><creatorcontrib>Vieira, Mariana S.</creatorcontrib><creatorcontrib>Filho, Pedro J. S. Silva</creatorcontrib><creatorcontrib>Ferreira, Pedro M. A.</creatorcontrib><creatorcontrib>Trevisan, Rafael</creatorcontrib><creatorcontrib>Hollas, Raquel</creatorcontrib><creatorcontrib>Campestrini, Sérgio</creatorcontrib><creatorcontrib>Pillar, Valério D.</creatorcontrib><creatorcontrib>Boldrini, Ilsi I.</creatorcontrib><title>Classification of South Brazilian grasslands: Implications for conservation</title><title>Applied vegetation science</title><description>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.</description><subject>Atlantic Forest biome</subject><subject>Brazilian Highland grasslands</subject><subject>Classification</subject><subject>Cluster analysis</subject><subject>Conservation</subject><subject>Design standards</subject><subject>Dominance</subject><subject>Ecosystems</subject><subject>Environmental policy</subject><subject>floristic pattern</subject><subject>grassland</subject><subject>Grassland management</subject><subject>Grasslands</subject><subject>Indicator species</subject><subject>Introduced species</subject><subject>Pampa biome</subject><subject>Sampling</subject><subject>Sampling designs</subject><subject>southern Brazil</subject><subject>species diversity</subject><subject>Vegetation</subject><subject>VEGETATION SURVEY</subject><subject>Wildlife conservation</subject><issn>1402-2001</issn><issn>1654-109X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kL1PwzAQxS0EEqWwsCNFYkOk-PyVZCxR-ZAqMRQQm-XYDrgKSbFTUPnrcQkwcsu94ffu9B5Cx4AnEOdCvQc9AcKA7qARCM5SwMXTbtQMk5RgDPvoIIRlFFnBixE6LxsVgqudVr3r2qSrk0W37l-SS68-XeNUmzz7SDSqNeEQ7dWqCfboZ4_Rw9XsvrxJ53fXt-V0nmpKKE1ZBhVTRjHOKS-EsRUIJkRlLNPUsloJXCkNjBR1hivAFRWZMdrmXOVgDdAxOh3urnz3trahl8tu7dv4UhLIRYzCYUudDZT2XQje1nLl3avyGwlYbtuQ2zbkdxsRhgH-cI3d_EPK6eOi_PWcDJ5l6Dv_52E5Z1meEfoFC1Fqpw</recordid><startdate>20190101</startdate><enddate>20190101</enddate><creator>Andrade, Bianca O.</creator><creator>Bonilha, Camila L.</creator><creator>Overbeck, Gerhard E.</creator><creator>Vélez-Martin, Eduardo</creator><creator>Rolim, Rosângela G.</creator><creator>Bordignon, Sérgio Augusto L.</creator><creator>Schneider, Angelo A.</creator><creator>Ely, Cleusa Vogel</creator><creator>Lucas, Dióber B.</creator><creator>Garcia, Élen N.</creator><creator>dos Santos, Emily D.</creator><creator>Torchelsen, Fábio P.</creator><creator>Vieira, Mariana S.</creator><creator>Filho, Pedro J. S. Silva</creator><creator>Ferreira, Pedro M. A.</creator><creator>Trevisan, Rafael</creator><creator>Hollas, Raquel</creator><creator>Campestrini, Sérgio</creator><creator>Pillar, Valério D.</creator><creator>Boldrini, Ilsi I.</creator><general>Wiley</general><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>C1K</scope><orcidid>https://orcid.org/0000-0003-3783-065X</orcidid><orcidid>https://orcid.org/0000-0002-8716-5136</orcidid><orcidid>https://orcid.org/0000-0003-2945-1510</orcidid><orcidid>https://orcid.org/0000-0001-6408-2891</orcidid></search><sort><creationdate>20190101</creationdate><title>Classification of South Brazilian grasslands</title><author>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.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3233-471b4ada4553596deb16466bde4c3e4fa60bac1429f70b10b367ddce85a81ed13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Atlantic Forest biome</topic><topic>Brazilian Highland grasslands</topic><topic>Classification</topic><topic>Cluster analysis</topic><topic>Conservation</topic><topic>Design standards</topic><topic>Dominance</topic><topic>Ecosystems</topic><topic>Environmental policy</topic><topic>floristic pattern</topic><topic>grassland</topic><topic>Grassland management</topic><topic>Grasslands</topic><topic>Indicator species</topic><topic>Introduced species</topic><topic>Pampa biome</topic><topic>Sampling</topic><topic>Sampling designs</topic><topic>southern Brazil</topic><topic>species diversity</topic><topic>Vegetation</topic><topic>VEGETATION SURVEY</topic><topic>Wildlife conservation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Andrade, Bianca O.</creatorcontrib><creatorcontrib>Bonilha, Camila L.</creatorcontrib><creatorcontrib>Overbeck, Gerhard E.</creatorcontrib><creatorcontrib>Vélez-Martin, Eduardo</creatorcontrib><creatorcontrib>Rolim, Rosângela G.</creatorcontrib><creatorcontrib>Bordignon, Sérgio Augusto L.</creatorcontrib><creatorcontrib>Schneider, Angelo A.</creatorcontrib><creatorcontrib>Ely, Cleusa Vogel</creatorcontrib><creatorcontrib>Lucas, Dióber B.</creatorcontrib><creatorcontrib>Garcia, Élen N.</creatorcontrib><creatorcontrib>dos Santos, Emily D.</creatorcontrib><creatorcontrib>Torchelsen, Fábio P.</creatorcontrib><creatorcontrib>Vieira, Mariana S.</creatorcontrib><creatorcontrib>Filho, Pedro J. S. Silva</creatorcontrib><creatorcontrib>Ferreira, Pedro M. A.</creatorcontrib><creatorcontrib>Trevisan, Rafael</creatorcontrib><creatorcontrib>Hollas, Raquel</creatorcontrib><creatorcontrib>Campestrini, Sérgio</creatorcontrib><creatorcontrib>Pillar, Valério D.</creatorcontrib><creatorcontrib>Boldrini, Ilsi I.</creatorcontrib><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><jtitle>Applied vegetation science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Andrade, Bianca O.</au><au>Bonilha, Camila L.</au><au>Overbeck, Gerhard E.</au><au>Vélez-Martin, Eduardo</au><au>Rolim, Rosângela G.</au><au>Bordignon, Sérgio Augusto L.</au><au>Schneider, Angelo A.</au><au>Ely, Cleusa Vogel</au><au>Lucas, Dióber B.</au><au>Garcia, Élen N.</au><au>dos Santos, Emily D.</au><au>Torchelsen, Fábio P.</au><au>Vieira, Mariana S.</au><au>Filho, Pedro J. S. Silva</au><au>Ferreira, Pedro M. A.</au><au>Trevisan, Rafael</au><au>Hollas, Raquel</au><au>Campestrini, Sérgio</au><au>Pillar, Valério D.</au><au>Boldrini, Ilsi I.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Classification of South Brazilian grasslands: Implications for conservation</atitle><jtitle>Applied vegetation science</jtitle><date>2019-01-01</date><risdate>2019</risdate><volume>22</volume><issue>1</issue><spage>168</spage><epage>184</epage><pages>168-184</pages><issn>1402-2001</issn><eissn>1654-109X</eissn><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.</abstract><cop>Malden</cop><pub>Wiley</pub><doi>10.1111/avsc.12413</doi><tpages>17</tpages><orcidid>https://orcid.org/0000-0003-3783-065X</orcidid><orcidid>https://orcid.org/0000-0002-8716-5136</orcidid><orcidid>https://orcid.org/0000-0003-2945-1510</orcidid><orcidid>https://orcid.org/0000-0001-6408-2891</orcidid></addata></record> |
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subjects | Atlantic Forest biome Brazilian Highland grasslands Classification Cluster analysis Conservation Design standards Dominance Ecosystems Environmental policy floristic pattern grassland Grassland management Grasslands Indicator species Introduced species Pampa biome Sampling Sampling designs southern Brazil species diversity Vegetation VEGETATION SURVEY Wildlife conservation |
title | Classification of South Brazilian grasslands: Implications for conservation |
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