SenecalDoyonSt-Onge2018

Référence

Senécal, J.-F., Doyon, F. and St-Onge, B. (2018) Discrimination of canopy gaps and non-regenerating openings in old-growth temperate deciduous forests using airborne lidar data. Canadian Journal of Forest Research, 48(7):774-782. (Scopus )

Résumé

The use of LiDAR in the study of gap regimes has seen significant progress in recent years. Researchers have assumed that canopy gaps detected in this manner are ecologically equivalent to gaps sampled in situ by more traditional methods. However, those latter methods usually include canopy gaps only and ignore non-regenerating openings that are produced by causes limiting tree establishment. We developed a predictive model capable of discriminating between canopy gaps and non-regenerating openings using LiDAR-derived data. Selected predictive variables were related to conditions that limit tree establishment such as zones of moisture accumulation and steep slopes or to the resulting vegetation physiognomy. The model was applied to three old-growth maple forests to predict the fractions of canopy openings belonging to these two types. On average, non-regenerating openings represented 19.5% of the total area detected as canopy openings and occupied 1.37% of the sites. Canopy gaps formed 80.5% of the total area in canopy openings and covered 5.71% of sites that were studied. The non-regenerating opening seemed more frequent on thin surficial deposits. The canopy gap fraction was similar among study sites but had lower values than usually reported for temperate deciduous forest. © 2018, Canadian Science Publishing. All rights reserved.

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@ARTICLE { SenecalDoyonSt-Onge2018,
    AUTHOR = { Senécal, J.-F. and Doyon, F. and St-Onge, B. },
    TITLE = { Discrimination of canopy gaps and non-regenerating openings in old-growth temperate deciduous forests using airborne lidar data },
    JOURNAL = { Canadian Journal of Forest Research },
    YEAR = { 2018 },
    VOLUME = { 48 },
    NUMBER = { 7 },
    PAGES = { 774-782 },
    NOTE = { cited By 0 },
    ABSTRACT = { The use of LiDAR in the study of gap regimes has seen significant progress in recent years. Researchers have assumed that canopy gaps detected in this manner are ecologically equivalent to gaps sampled in situ by more traditional methods. However, those latter methods usually include canopy gaps only and ignore non-regenerating openings that are produced by causes limiting tree establishment. We developed a predictive model capable of discriminating between canopy gaps and non-regenerating openings using LiDAR-derived data. Selected predictive variables were related to conditions that limit tree establishment such as zones of moisture accumulation and steep slopes or to the resulting vegetation physiognomy. The model was applied to three old-growth maple forests to predict the fractions of canopy openings belonging to these two types. On average, non-regenerating openings represented 19.5% of the total area detected as canopy openings and occupied 1.37% of the sites. Canopy gaps formed 80.5% of the total area in canopy openings and covered 5.71% of sites that were studied. The non-regenerating opening seemed more frequent on thin surficial deposits. The canopy gap fraction was similar among study sites but had lower values than usually reported for temperate deciduous forest. © 2018, Canadian Science Publishing. All rights reserved. },
    AFFILIATION = { Département des sciences biologiques, Université du Québec à Montréal, 141 Avenue du Président-Kennedy, Montréal, QC, Canada; Institut des sciences de la forêt tempérée, 58, rue Principale, Ripon, QC, Canada; Département des sciences naturelles, Université du Québec en Outaouais, 283, boulevard Alexandre-Taché, Gatineau, QC, Canada; Département de Géographie, Université du Québec à Montréal, 1255 rue Saint-Denis, Montréal, QC, Canada },
    AUTHOR_KEYWORDS = { Canopy gap detection; Disturbance regime; Gap fraction; Gap regime; Microtopography },
    DOCUMENT_TYPE = { Article },
    DOI = { 10.1139/cjfr-2017-0340 },
    SOURCE = { Scopus },
    URL = { https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049122088&doi=10.1139%2fcjfr-2017-0340&partnerID=40&md5=b5f45bcae71f4c2c03f80df7b19d6f3b },
}

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