IrulappaRaulierBernierEtAl2016

Référence

Irulappa Pillai Vijayakumar, D.B., Raulier, F., Bernier, P.Y., Pare, D., Gauthier, S., Bergeron, Y. and Pothier, D. (2016) Cover density recovery after fire disturbance controls landscape aboveground biomass carbon in the boreal forest of eastern Canada. Forest Ecology and Management, 360:170-180. (Scopus )

Résumé

In existing carbon budget models, carbon stocks are not explicitly related to forest successional dynamics and environmental factors. Yet time-since-last-fire (TSLF) is an important variable for explaining successional changes and subsequent carbon storage. The objective of this study was to predict the spatial variability of aboveground biomass carbon (ABC) as a function of TSLF and other environmental factors across the landscape at regional scales. ABC was predicted using random forest models, both at the sample-plot level and at the scale of 2-km2 cells. This cell size was chosen to match the observed minimum fire size of the Canadian large fire database. The percentage variance explained by the empirical sample-plot level model of ABC was 50%. At that scale, TSLF was not significantly related to ABC. At the 2-km2 scale, ABC was influenced mainly by the proportions of cover density classes, which explained 83% of the variance. Changes in cover density were related to TSLF at the same 2-km2 scale, indicating that the increase in cover density following fire disturbance is a dominant mechanism through which TSLF acts upon ABC at the scale of landscapes. © 2015 Elsevier B.V.

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@ARTICLE { IrulappaRaulierBernierEtAl2016,
    AUTHOR = { Irulappa Pillai Vijayakumar, D.B. and Raulier, F. and Bernier, P.Y. and Pare, D. and Gauthier, S. and Bergeron, Y. and Pothier, D. },
    TITLE = { Cover density recovery after fire disturbance controls landscape aboveground biomass carbon in the boreal forest of eastern Canada },
    JOURNAL = { Forest Ecology and Management },
    YEAR = { 2016 },
    VOLUME = { 360 },
    PAGES = { 170-180 },
    NOTE = { cited By 0 },
    ABSTRACT = { In existing carbon budget models, carbon stocks are not explicitly related to forest successional dynamics and environmental factors. Yet time-since-last-fire (TSLF) is an important variable for explaining successional changes and subsequent carbon storage. The objective of this study was to predict the spatial variability of aboveground biomass carbon (ABC) as a function of TSLF and other environmental factors across the landscape at regional scales. ABC was predicted using random forest models, both at the sample-plot level and at the scale of 2-km2 cells. This cell size was chosen to match the observed minimum fire size of the Canadian large fire database. The percentage variance explained by the empirical sample-plot level model of ABC was 50%. At that scale, TSLF was not significantly related to ABC. At the 2-km2 scale, ABC was influenced mainly by the proportions of cover density classes, which explained 83% of the variance. Changes in cover density were related to TSLF at the same 2-km2 scale, indicating that the increase in cover density following fire disturbance is a dominant mechanism through which TSLF acts upon ABC at the scale of landscapes. © 2015 Elsevier B.V. },
    AUTHOR_KEYWORDS = { Aboveground biomass carbon; Boreal forest; Random forest; Successional dynamics; Time-since-last-fire },
    DOCUMENT_TYPE = { Article },
    DOI = { 10.1016/j.foreco.2015.10.035 },
    KEYWORDS = { Biomass; Budget control; Decision trees, Above ground biomass; Boreal forests; Dominant mechanism; Eastern Canada; Environmental factors; Fire disturbance; Random forests; Spatial variability, Fires, aboveground biomass; boreal forest; carbon budget; disturbance; environmental factor; fire history; spatial variation; succession, Canada },
    SOURCE = { Scopus },
    URL = { https://www.scopus.com/inward/record.uri?eid=2-s2.0-84945974747&partnerID=40&md5=7eccb1c7606f8f1614a9bd8b7db7a982 },
}

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