DrobyshevNiklassonLindersonEtAl2008

Référence

Drobyshev, I., Niklasson, M., Linderson, H., Sonesson, K., Karlsson, M., Nilsson, S.G. and Lanner, J. (2008) Lifespan and mortality of old oaks - Combining empirical and modelling approaches to support their management in Southern Sweden. Annals of Forest Science, 65(4):401p1-401p12. (Scopus )

Résumé

· Old oaks (Quercus robur L.) play an important role in the southern Scandinavian landscape by providing habitat for a wide range of species, a large proportion of them being currently on the National Redlists. · To provide support for the management of these trees, we review data on oak mortality and formulate a mortality-driven stochastic model analysing interactions between mortality rate, oak recruitment rate into 100-150 age class, and amount of oaks older than 200 years. · Empirical annual mortality rates varied between 0 and 13% with average 1.68%. Trees older 200 years had an average mortality rate of 1.1%. Oaks in the high density forests showed higher mortality (3.2%) as compared to the trees growing in the low density forests (1.2%). A 400-year long modelling exercises indicated that under current mortality rates (regular mortality being centred around 1% annually; and irregular mortality 7% with average return time of 13 years) the long-term maintenance of 20 trees older than 200 years per ha would require an input rate of 1 to 5 trees × year-1 × ha-1 into the 100-150 years old class. · The modelling highlighted the importance of initial oak abundance affecting amount of old trees at the end of shorter (100 years) simulation period. © 2008 INRA, EDP Sciences.

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@ARTICLE { DrobyshevNiklassonLindersonEtAl2008,
    AUTHOR = { Drobyshev, I. and Niklasson, M. and Linderson, H. and Sonesson, K. and Karlsson, M. and Nilsson, S.G. and Lanner, J. },
    TITLE = { Lifespan and mortality of old oaks - Combining empirical and modelling approaches to support their management in Southern Sweden },
    JOURNAL = { Annals of Forest Science },
    YEAR = { 2008 },
    VOLUME = { 65 },
    PAGES = { 401p1-401p12 },
    NUMBER = { 4 },
    NOTE = { cited By (since 1996)10 },
    ABSTRACT = { · Old oaks (Quercus robur L.) play an important role in the southern Scandinavian landscape by providing habitat for a wide range of species, a large proportion of them being currently on the National Redlists. · To provide support for the management of these trees, we review data on oak mortality and formulate a mortality-driven stochastic model analysing interactions between mortality rate, oak recruitment rate into 100-150 age class, and amount of oaks older than 200 years. · Empirical annual mortality rates varied between 0 and 13% with average 1.68%. Trees older 200 years had an average mortality rate of 1.1%. Oaks in the high density forests showed higher mortality (3.2%) as compared to the trees growing in the low density forests (1.2%). A 400-year long modelling exercises indicated that under current mortality rates (regular mortality being centred around 1% annually; and irregular mortality 7% with average return time of 13 years) the long-term maintenance of 20 trees older than 200 years per ha would require an input rate of 1 to 5 trees × year-1 × ha-1 into the 100-150 years old class. · The modelling highlighted the importance of initial oak abundance affecting amount of old trees at the end of shorter (100 years) simulation period. © 2008 INRA, EDP Sciences. },
    AUTHOR_KEYWORDS = { Conservation; Dendrochronology; Disturbance; European hardwoods; Population dynamics },
    CODEN = { AFOSF },
    DOCUMENT_TYPE = { Article },
    DOI = { 10.1051/forest:2008012 },
    ISSN = { 12864560 },
    KEYWORDS = { abundance; comparative study; deciduous forest; dendrochronology; ecological modeling; empirical analysis; environmental disturbance; forest management; mortality; recruitment (population dynamics); Red List; stochasticity, Eurasia; Europe; Northern Europe; Scandinavia; Sweden, Quercus; Quercus robur },
    SOURCE = { Scopus },
    URL = { http://www.scopus.com/inward/record.url?eid=2-s2.0-44849137133&partnerID=40&md5=1cb9cf6aac386c4d1f4258dd7fd29caf },
}

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