SujiiNagaiZucchiEtAl2019

Référence

Sujii, P.S., Nagai, M.E., Zucchi, M.I., Brancalion, P.H.S., James, P.M.A. (2019) A genetic approach for simulating persistence of reintroduced tree species populations in restored forests. Ecological Modelling, 403:35-43. (Scopus )

Résumé

Tree populations in regions undergoing restoration are generally made up of few individuals, isolated from neighboring populations, and are found within a matrix of inhospitable human-modified landscapes. Resulting negative genetic consequences such as inbreeding depression and genetic drift require mitigation strategies to maintain sufficient genetic diversity in restoration areas. Such strategies often involve seed sampling from many source trees with different provenances. However, the efficacy of these approaches has not been validated. We present an individual-based spatial simulation model to evaluate the effects of: 1)differing levels of initial genetic diversity; and 2)different area sizes on short (tens of years)and mid-term (hundreds of years)restored population viability. We demonstrate this approach and the use of our model with case study of Centrolobium tomentosum, a tropical tree species widely used in restoration projects in the Atlantic Forest of Brazil. Our model and analysis framework can be applied in studies of tree species with different characteristics, from tropical and temperate forests, to assess population persistence in restoration sites as a function of genetic diversity and population size. This knowledge can support planning of both restoration projects and management actions, increasing the probability of restoration success while also reducing associated costs. © 2019 Elsevier B.V.

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@ARTICLE { SujiiNagaiZucchiEtAl2019,
    AUTHOR = { Sujii, P.S. and Nagai, M.E. and Zucchi, M.I. and Brancalion, P.H.S. and James, P.M.A. },
    TITLE = { A genetic approach for simulating persistence of reintroduced tree species populations in restored forests },
    JOURNAL = { Ecological Modelling },
    YEAR = { 2019 },
    VOLUME = { 403 },
    PAGES = { 35-43 },
    NOTE = { cited By 0 },
    ABSTRACT = { Tree populations in regions undergoing restoration are generally made up of few individuals, isolated from neighboring populations, and are found within a matrix of inhospitable human-modified landscapes. Resulting negative genetic consequences such as inbreeding depression and genetic drift require mitigation strategies to maintain sufficient genetic diversity in restoration areas. Such strategies often involve seed sampling from many source trees with different provenances. However, the efficacy of these approaches has not been validated. We present an individual-based spatial simulation model to evaluate the effects of: 1)differing levels of initial genetic diversity; and 2)different area sizes on short (tens of years)and mid-term (hundreds of years)restored population viability. We demonstrate this approach and the use of our model with case study of Centrolobium tomentosum, a tropical tree species widely used in restoration projects in the Atlantic Forest of Brazil. Our model and analysis framework can be applied in studies of tree species with different characteristics, from tropical and temperate forests, to assess population persistence in restoration sites as a function of genetic diversity and population size. This knowledge can support planning of both restoration projects and management actions, increasing the probability of restoration success while also reducing associated costs. © 2019 Elsevier B.V. },
    AFFILIATION = { Genetics and Molecular Biology Graduate Program, Biology Institute, Unicamp, Campinas, 13083-970, Brazil; Ecology Graduate Program, Biology Institute, Unicamp, Campinas, 13083-970, Brazil; Agência Paulista de Tecnologia dos Agronegócios, Pólo Regional Centro Sul, Piracicaba, 13400-970, Brazil; Department of Forest Sciences, “Luiz de Queiroz” College of Agriculture, University of São Paulo, Piracicaba, 13418-900, Brazil; Département de Sciences Biologiques, Université de Montréal, Montréal, QC H3C 3J7, Canada },
    AUTHOR_KEYWORDS = { Ecological restoration; Genetic diversity; Individual-based model; Population viability },
    DOCUMENT_TYPE = { Article },
    DOI = { 10.1016/j.ecolmodel.2019.04.014 },
    SOURCE = { Scopus },
    URL = { https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065151371&doi=10.1016%2fj.ecolmodel.2019.04.014&partnerID=40&md5=1e44d8572d0bdb1d6ad5a9bd4cbefc09 },
}

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