The recovery rates of secondary savannas in abandoned pastures are poorly explained by environmental and landscape factors
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , |
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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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 |
|
_version_ |
1808129568048939008 |