The recovery rates of secondary savannas in abandoned pastures are poorly explained by environmental and landscape factors

Detalhes bibliográficos
Autor(a) principal: Cava, Mário G.B. [UNESP]
Data de Publicação: 2020
Outros Autores: Pilon, Natashi A.L., Priante, Camila F. [UNESP], Ribeiro, Milton Cezar [UNESP], Durigan, Giselda
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1111/avsc.12457
http://hdl.handle.net/11449/201277
Resumo: Question: Assessing the natural regeneration potential of degraded savannas is a crucial step in restoration planning, since that assessment will define the need for and costs of active intervention. Predicting natural regeneration, however, depends on the mechanistic understanding of ecosystem resilience. Here, we searched for the factors modulating plant communities spontaneously regenerating in abandoned pastures. Location: Tropical savanna (cerrado), Brazil. Methods: Over two years, we quantified changes in the structure, richness and species composition of plant communities in 29 secondary savannas resulting from pasture abandonment. We then investigated the influence of soil and landscape attributes, exotic grass cover and time since pasture abandonment on the recovery rate and species composition of these communities. Results: The wide variation among sites was not explained by time since abandonment or distance to the nearest remnant native vegetation. Soil attributes, exotic grasses and native vegetation cover around a pasture explained a small fraction of the variation in the recovery rate. We did not find an isolated factor or a robust set of factors explaining the variation in the recovery rate for all vegetation attributes. Species composition was slightly influenced by exotic grasses, soil penetration resistance, proportion of fine soil particles and time since abandonment. Colonization and resprouting by savanna specialists over the two-year period were hindered by exotic grasses. Conclusion: The use of predictive models based on soil properties, exotic grasses, landscape attributes or time since abandonment is unfeasible for inferring the recovery rate of savanna structure and richness after pasture abandonment. Case-by-case monitoring is required to support decisions on restoration intervention. Other factors, which are almost impossible to obtain, such as land-use practices and history and the taxonomic or functional composition of pre-existing vegetation, can potentially influence the recovery rate. Exotic grasses must be controlled to favour colonization and resprouting by savanna specialists.
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spelling The recovery rates of secondary savannas in abandoned pastures are poorly explained by environmental and landscape factorsabandoned pastureAfrican grassescerradonatural regenerationold-growth savannarecovery rateresiliencesavanna restorationsecondary savannatropical grassy biomestropical savannaQuestion: Assessing the natural regeneration potential of degraded savannas is a crucial step in restoration planning, since that assessment will define the need for and costs of active intervention. Predicting natural regeneration, however, depends on the mechanistic understanding of ecosystem resilience. Here, we searched for the factors modulating plant communities spontaneously regenerating in abandoned pastures. Location: Tropical savanna (cerrado), Brazil. Methods: Over two years, we quantified changes in the structure, richness and species composition of plant communities in 29 secondary savannas resulting from pasture abandonment. We then investigated the influence of soil and landscape attributes, exotic grass cover and time since pasture abandonment on the recovery rate and species composition of these communities. Results: The wide variation among sites was not explained by time since abandonment or distance to the nearest remnant native vegetation. Soil attributes, exotic grasses and native vegetation cover around a pasture explained a small fraction of the variation in the recovery rate. We did not find an isolated factor or a robust set of factors explaining the variation in the recovery rate for all vegetation attributes. Species composition was slightly influenced by exotic grasses, soil penetration resistance, proportion of fine soil particles and time since abandonment. Colonization and resprouting by savanna specialists over the two-year period were hindered by exotic grasses. Conclusion: The use of predictive models based on soil properties, exotic grasses, landscape attributes or time since abandonment is unfeasible for inferring the recovery rate of savanna structure and richness after pasture abandonment. Case-by-case monitoring is required to support decisions on restoration intervention. Other factors, which are almost impossible to obtain, such as land-use practices and history and the taxonomic or functional composition of pre-existing vegetation, can potentially influence the recovery rate. Exotic grasses must be controlled to favour colonization and resprouting by savanna specialists.Departamento de Ciência Florestal UNESP - Universidade Estadual PaulistaInstituto de Biologia Universidade Estadual de CampinasDepartamento de Ecologia UNESP - Universidade Estadual PaulistaFloresta Estadual de Assis Instituto Florestal do Estado de São PauloDepartamento de Ciência Florestal UNESP - Universidade Estadual PaulistaDepartamento de Ecologia UNESP - Universidade Estadual PaulistaUniversidade Estadual Paulista (Unesp)Universidade Estadual de Campinas (UNICAMP)Instituto Florestal do Estado de São PauloCava, Mário G.B. [UNESP]Pilon, Natashi A.L.Priante, Camila F. [UNESP]Ribeiro, Milton Cezar [UNESP]Durigan, Giselda2020-12-12T02:28:31Z2020-12-12T02:28:31Z2020-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article14-25http://dx.doi.org/10.1111/avsc.12457Applied Vegetation Science, v. 23, n. 1, p. 14-25, 2020.1654-109X1402-2001http://hdl.handle.net/11449/20127710.1111/avsc.124572-s2.0-850740667164158685235743119Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengApplied Vegetation Scienceinfo:eu-repo/semantics/openAccess2021-10-23T10:18:41Zoai:repositorio.unesp.br:11449/201277Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T23:58:13.176846Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv The recovery rates of secondary savannas in abandoned pastures are poorly explained by environmental and landscape factors
title The recovery rates of secondary savannas in abandoned pastures are poorly explained by environmental and landscape factors
spellingShingle The recovery rates of secondary savannas in abandoned pastures are poorly explained by environmental and landscape factors
Cava, Mário G.B. [UNESP]
abandoned pasture
African grasses
cerrado
natural regeneration
old-growth savanna
recovery rate
resilience
savanna restoration
secondary savanna
tropical grassy biomes
tropical savanna
title_short The recovery rates of secondary savannas in abandoned pastures are poorly explained by environmental and landscape factors
title_full The recovery rates of secondary savannas in abandoned pastures are poorly explained by environmental and landscape factors
title_fullStr The recovery rates of secondary savannas in abandoned pastures are poorly explained by environmental and landscape factors
title_full_unstemmed The recovery rates of secondary savannas in abandoned pastures are poorly explained by environmental and landscape factors
title_sort The recovery rates of secondary savannas in abandoned pastures are poorly explained by environmental and landscape factors
author Cava, Mário G.B. [UNESP]
author_facet Cava, Mário G.B. [UNESP]
Pilon, Natashi A.L.
Priante, Camila F. [UNESP]
Ribeiro, Milton Cezar [UNESP]
Durigan, Giselda
author_role author
author2 Pilon, Natashi A.L.
Priante, Camila F. [UNESP]
Ribeiro, Milton Cezar [UNESP]
Durigan, Giselda
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Universidade Estadual de Campinas (UNICAMP)
Instituto Florestal do Estado de São Paulo
dc.contributor.author.fl_str_mv Cava, Mário G.B. [UNESP]
Pilon, Natashi A.L.
Priante, Camila F. [UNESP]
Ribeiro, Milton Cezar [UNESP]
Durigan, Giselda
dc.subject.por.fl_str_mv abandoned pasture
African grasses
cerrado
natural regeneration
old-growth savanna
recovery rate
resilience
savanna restoration
secondary savanna
tropical grassy biomes
tropical savanna
topic abandoned pasture
African grasses
cerrado
natural regeneration
old-growth savanna
recovery rate
resilience
savanna restoration
secondary savanna
tropical grassy biomes
tropical savanna
description Question: Assessing the natural regeneration potential of degraded savannas is a crucial step in restoration planning, since that assessment will define the need for and costs of active intervention. Predicting natural regeneration, however, depends on the mechanistic understanding of ecosystem resilience. Here, we searched for the factors modulating plant communities spontaneously regenerating in abandoned pastures. Location: Tropical savanna (cerrado), Brazil. Methods: Over two years, we quantified changes in the structure, richness and species composition of plant communities in 29 secondary savannas resulting from pasture abandonment. We then investigated the influence of soil and landscape attributes, exotic grass cover and time since pasture abandonment on the recovery rate and species composition of these communities. Results: The wide variation among sites was not explained by time since abandonment or distance to the nearest remnant native vegetation. Soil attributes, exotic grasses and native vegetation cover around a pasture explained a small fraction of the variation in the recovery rate. We did not find an isolated factor or a robust set of factors explaining the variation in the recovery rate for all vegetation attributes. Species composition was slightly influenced by exotic grasses, soil penetration resistance, proportion of fine soil particles and time since abandonment. Colonization and resprouting by savanna specialists over the two-year period were hindered by exotic grasses. Conclusion: The use of predictive models based on soil properties, exotic grasses, landscape attributes or time since abandonment is unfeasible for inferring the recovery rate of savanna structure and richness after pasture abandonment. Case-by-case monitoring is required to support decisions on restoration intervention. Other factors, which are almost impossible to obtain, such as land-use practices and history and the taxonomic or functional composition of pre-existing vegetation, can potentially influence the recovery rate. Exotic grasses must be controlled to favour colonization and resprouting by savanna specialists.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-12T02:28:31Z
2020-12-12T02:28:31Z
2020-01-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1111/avsc.12457
Applied Vegetation Science, v. 23, n. 1, p. 14-25, 2020.
1654-109X
1402-2001
http://hdl.handle.net/11449/201277
10.1111/avsc.12457
2-s2.0-85074066716
4158685235743119
url http://dx.doi.org/10.1111/avsc.12457
http://hdl.handle.net/11449/201277
identifier_str_mv Applied Vegetation Science, v. 23, n. 1, p. 14-25, 2020.
1654-109X
1402-2001
10.1111/avsc.12457
2-s2.0-85074066716
4158685235743119
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Applied Vegetation Science
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 14-25
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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