Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/42943
Registro completo de metadados
Campo DCValorIdioma
dc.creatorGastauer, Markus-
dc.creatorCaldeira, Cecílio Frois-
dc.creatorRamos, Sílvio Junio-
dc.creatorTrevelin, Leonardo Carreira-
dc.creatorJaffé, Rodolfo-
dc.creatorOliveira, Guilherme-
dc.creatorVera, Mabel Patricia Ortiz-
dc.creatorPires, Eder-
dc.creatorSantiago, Flávia Louzeiro de Aguiar-
dc.creatorCarneiro, Marco Aurélio Carbone-
dc.creatorCoelho, Felipe Tadashi Asoa-
dc.creatorSilva, Rosilene-
dc.creatorSouza Filho, Pedro Walfir M.-
dc.creatorSiqueira, José Oswaldo-
dc.date.accessioned2020-09-08T19:20:49Z-
dc.date.available2020-09-08T19:20:49Z-
dc.date.issued2020-02-
dc.identifier.citationGASTAUER, M. et al. Integrating environmental variables by multivariate ordination enables the reliable estimation of mineland rehabilitation status. Journal of Environmental Management, [S. I.], v. 256, Feb. 2020. DOI: https://doi.org/10.1016/j.jenvman.2019.109894.pt_BR
dc.identifier.urihttps://doi.org/10.1016/j.jenvman.2019.109894pt_BR
dc.identifier.urihttp://repositorio.ufla.br/jspui/handle/1/42943-
dc.description.abstractDespite the wide variety of variables commonly employed to measure the success of rehabilitation, the assessment and subsequent definition of indicators of environmental rehabilitation status are not simple tasks. The main challenges are comparing rehabilitated sites with target ecosystems as well as integrating individual environmental and eventually collinear variables into a single tractable measure for the state of a system before effective indicators that track rehabilitation may be modeled. Furthermore, a consensus is lacking regarding which and how many variables need to be surveyed for a reliable estimation of rehabilitation status. Here, we propose a multivariate ordination to integrate variables related to ecological processes, vegetation structure, and community diversity into a single estimation of rehabilitation status. As a case, we employed a curated set of 32 environmental variables retrieved from nonrevegetated, rehabilitating and reference sites associated with iron ore mines from the Urucum Massif, Mato Grosso do Sul, Brazil. By integrating this set of environmental variables into a single estimation of rehabilitation status, the proposed multivariate approach is straightforward and able to adequately address collinearity among variables. The proposed methodology allows for the identification of biases towards single variables, surveys or analyses, which is necessary to rank environmental variables regarding their importance to the assessment. Furthermore, we show that bootstrapping permitted the detection of the minimum number of environmental variables necessary to achieve reliable estimations of the rehabilitation status. Finally, we show that the proposed variable integration enables the definition of case-specific environmental indicators for more rapid assessments of mineland rehabilitation. Thus, the proposed multivariate ordination represents a powerful tool to facilitate the diagnosis of rehabilitating sites worldwide provided that sufficient environmental variables related to ecological processes, diversity and vegetation structure are gathered from nonrehabilitated, rehabilitating and reference study sites. By identifying deviations from predicted rehabilitation trajectories and providing assessments for environmental agencies, this proposed multivariate ordination increases the effectiveness of (mineland) rehabilitation.pt_BR
dc.languageenpt_BR
dc.publisherElsevierpt_BR
dc.rightsrestrictAccesspt_BR
dc.sourceJournal of Environmental Managementpt_BR
dc.subjectEnvironmental monitoringpt_BR
dc.subjectEcological processespt_BR
dc.subjectFunctional diversitypt_BR
dc.subjectEnvironmental indicatorspt_BR
dc.subjectPrimers for environmental rehabilitationpt_BR
dc.subjectUrucum massifpt_BR
dc.subjectMonitoramento ambientalpt_BR
dc.subjectProcessos ecológicospt_BR
dc.subjectDiversidade funcionalpt_BR
dc.subjectIndicadores ambientaispt_BR
dc.subjectÁreas produtoras de minériopt_BR
dc.subjectReabilitação ambientalpt_BR
dc.titleIntegrating environmental variables by multivariate ordination enables the reliable estimation of mineland rehabilitation statuspt_BR
dc.typeArtigopt_BR
Aparece nas coleções:DCS - Artigos publicados em periódicos

Arquivos associados a este item:
Não existem arquivos associados a este item.


Os itens no repositório estão protegidos por copyright, com todos os direitos reservados, salvo quando é indicado o contrário.