Monitoring Young Tropical Forest Restoration Sites: How Much to Measure?
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1177/1940082918780916 http://hdl.handle.net/11449/160404 |
Resumo: | Monitoring is a key step for achieving restoration success. Despite increasing advances for selecting ecological indicators, monitoring sampling designs are not always available. We investigated how tree richness and the most used forest structure indicators vary spatially in restoration sites, aiming to provide evidence-based guidance for future monitoring protocols. We collected data from eight forest restoration sites covering overall 1,000 ha in four Brazilian Atlantic Forest regions. Canopy cover, tree density, vegetation height, and species richness were assessed in 18.2 ha of plots ranging from 60 to 300 m(2) in size, in restoration sites aged 1 to 5 years old. Using resampling techniques, we calculated the sampling error for the indicators and compared them with original sampling results, and then estimated the number of plots needed to reach a 20% sampling error. The ecological indicators assessed showed high variability among restoration sites. Canopy cover and height required less plots to reach the targeted sampling error than density of trees. The number of species does not stabilize even when more than 90% of the total number of plots was resampled, indicating high spatial variation. The use of the sampling error approach for defining how much to monitor, associated to appropriate sampling methods, could increase the reliability of monitoring. In addition, they will reduce operational costs, thus providing a key contribution to the effectiveness of large-scale restoration programs expected to be implemented globally in the coming years. Thus, we recommend the incorporation of this in the forest restoration monitoring protocols being discussed worldwide. |
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Monitoring Young Tropical Forest Restoration Sites: How Much to Measure?Atlantic Forestecological indicatorsrestoration assessmentrestoration successmonitoring protocolsMonitoring is a key step for achieving restoration success. Despite increasing advances for selecting ecological indicators, monitoring sampling designs are not always available. We investigated how tree richness and the most used forest structure indicators vary spatially in restoration sites, aiming to provide evidence-based guidance for future monitoring protocols. We collected data from eight forest restoration sites covering overall 1,000 ha in four Brazilian Atlantic Forest regions. Canopy cover, tree density, vegetation height, and species richness were assessed in 18.2 ha of plots ranging from 60 to 300 m(2) in size, in restoration sites aged 1 to 5 years old. Using resampling techniques, we calculated the sampling error for the indicators and compared them with original sampling results, and then estimated the number of plots needed to reach a 20% sampling error. The ecological indicators assessed showed high variability among restoration sites. Canopy cover and height required less plots to reach the targeted sampling error than density of trees. The number of species does not stabilize even when more than 90% of the total number of plots was resampled, indicating high spatial variation. The use of the sampling error approach for defining how much to monitor, associated to appropriate sampling methods, could increase the reliability of monitoring. In addition, they will reduce operational costs, thus providing a key contribution to the effectiveness of large-scale restoration programs expected to be implemented globally in the coming years. Thus, we recommend the incorporation of this in the forest restoration monitoring protocols being discussed worldwide.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Univ Fed Sao Carlos, Dept Biotecnol & Prod Vegetal & Anim, Rodovia Anhanguera Km 174,CP 153, BR-13600970 Araras, SP, BrazilUniv Estadual Campinas, Inst Biol, Programa Posgrad Biol Vegetal, Campinas, SP, BrazilFundacao Espaco Eco, Sao Bernardo Do Campo, SP, BrazilUniv Estadual Paulista, Campus Rio Claro, Rio Claro, SP, BrazilUniv Sao Paulo, ESALQ, Dept Ciencias Biol, Piracicaba, SP, BrazilUniv Sao Paulo, ESALQ, Dept Ciencias Florestais, Piracicaba, SP, BrazilUniv Estadual Paulista, Campus Rio Claro, Rio Claro, SP, BrazilFAPESP: 2013/50718-5Sage Publications IncUniversidade Federal de São Carlos (UFSCar)Universidade Estadual de Campinas (UNICAMP)Fundacao Espaco EcoUniversidade Estadual Paulista (Unesp)Universidade de São Paulo (USP)Viani, Ricardo A. G.Barreto, Tiago E.Farah, Fabiano T. [UNESP]Rodrigues, Ricardo R.Brancalion, Pedro H. S.2018-11-26T16:04:21Z2018-11-26T16:04:21Z2018-06-07info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article9application/pdfhttp://dx.doi.org/10.1177/1940082918780916Tropical Conservation Science. Thousand Oaks: Sage Publications Inc, v. 11, 9 p., 2018.1940-0829http://hdl.handle.net/11449/16040410.1177/1940082918780916WOS:000437513400001WOS000437513400001.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengTropical Conservation Science0,692info:eu-repo/semantics/openAccess2023-11-05T06:07:57Zoai:repositorio.unesp.br:11449/160404Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:57:27.537703Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Monitoring Young Tropical Forest Restoration Sites: How Much to Measure? |
title |
Monitoring Young Tropical Forest Restoration Sites: How Much to Measure? |
spellingShingle |
Monitoring Young Tropical Forest Restoration Sites: How Much to Measure? Viani, Ricardo A. G. Atlantic Forest ecological indicators restoration assessment restoration success monitoring protocols |
title_short |
Monitoring Young Tropical Forest Restoration Sites: How Much to Measure? |
title_full |
Monitoring Young Tropical Forest Restoration Sites: How Much to Measure? |
title_fullStr |
Monitoring Young Tropical Forest Restoration Sites: How Much to Measure? |
title_full_unstemmed |
Monitoring Young Tropical Forest Restoration Sites: How Much to Measure? |
title_sort |
Monitoring Young Tropical Forest Restoration Sites: How Much to Measure? |
author |
Viani, Ricardo A. G. |
author_facet |
Viani, Ricardo A. G. Barreto, Tiago E. Farah, Fabiano T. [UNESP] Rodrigues, Ricardo R. Brancalion, Pedro H. S. |
author_role |
author |
author2 |
Barreto, Tiago E. Farah, Fabiano T. [UNESP] Rodrigues, Ricardo R. Brancalion, Pedro H. S. |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade Federal de São Carlos (UFSCar) Universidade Estadual de Campinas (UNICAMP) Fundacao Espaco Eco Universidade Estadual Paulista (Unesp) Universidade de São Paulo (USP) |
dc.contributor.author.fl_str_mv |
Viani, Ricardo A. G. Barreto, Tiago E. Farah, Fabiano T. [UNESP] Rodrigues, Ricardo R. Brancalion, Pedro H. S. |
dc.subject.por.fl_str_mv |
Atlantic Forest ecological indicators restoration assessment restoration success monitoring protocols |
topic |
Atlantic Forest ecological indicators restoration assessment restoration success monitoring protocols |
description |
Monitoring is a key step for achieving restoration success. Despite increasing advances for selecting ecological indicators, monitoring sampling designs are not always available. We investigated how tree richness and the most used forest structure indicators vary spatially in restoration sites, aiming to provide evidence-based guidance for future monitoring protocols. We collected data from eight forest restoration sites covering overall 1,000 ha in four Brazilian Atlantic Forest regions. Canopy cover, tree density, vegetation height, and species richness were assessed in 18.2 ha of plots ranging from 60 to 300 m(2) in size, in restoration sites aged 1 to 5 years old. Using resampling techniques, we calculated the sampling error for the indicators and compared them with original sampling results, and then estimated the number of plots needed to reach a 20% sampling error. The ecological indicators assessed showed high variability among restoration sites. Canopy cover and height required less plots to reach the targeted sampling error than density of trees. The number of species does not stabilize even when more than 90% of the total number of plots was resampled, indicating high spatial variation. The use of the sampling error approach for defining how much to monitor, associated to appropriate sampling methods, could increase the reliability of monitoring. In addition, they will reduce operational costs, thus providing a key contribution to the effectiveness of large-scale restoration programs expected to be implemented globally in the coming years. Thus, we recommend the incorporation of this in the forest restoration monitoring protocols being discussed worldwide. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-11-26T16:04:21Z 2018-11-26T16:04:21Z 2018-06-07 |
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/10.1177/1940082918780916 Tropical Conservation Science. Thousand Oaks: Sage Publications Inc, v. 11, 9 p., 2018. 1940-0829 http://hdl.handle.net/11449/160404 10.1177/1940082918780916 WOS:000437513400001 WOS000437513400001.pdf |
url |
http://dx.doi.org/10.1177/1940082918780916 http://hdl.handle.net/11449/160404 |
identifier_str_mv |
Tropical Conservation Science. Thousand Oaks: Sage Publications Inc, v. 11, 9 p., 2018. 1940-0829 10.1177/1940082918780916 WOS:000437513400001 WOS000437513400001.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Tropical Conservation Science 0,692 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
9 application/pdf |
dc.publisher.none.fl_str_mv |
Sage Publications Inc |
publisher.none.fl_str_mv |
Sage Publications Inc |
dc.source.none.fl_str_mv |
Web of Science 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_ |
1808128726684139520 |