GoodbodyCoopsLutherEtAl2021

Référence

Goodbody, T.R.H., Coops, N.C., Luther, J.E., Tompalski, P., Mulverhill, C., Frizzle, C., Fournier, R.A., Furze, S., Herniman, S. (2021) Airborne laser scanning for quantifying criteria and indicators of sustainable forest management in canada. Canadian Journal of Forest Research, 51(7):972-985. (Scopus )

Résumé

Airborne laser scanning (ALS) has emerged as a technology capable of generating descriptors of vegetation structure and best available terrain information. Research and operational implementations of ALS data have highlighted their value for characterizing forest structure and generating spatially explicit and objective spatial coverages and mapping products for forest management. Continued emphasis to enhance forest stewardship is promoting novel methods to integrate ALS to detail non-timber ecosystem values like habitat, soil, and water. Standardized criteria and indicator frameworks such as the Canadian Council of Forest Ministers provide a reliable starting point for where ALS has opportunities to characterize ecosystems objectively regardless of location. In this review of primarily Canadian work, we highlight how ALS is becoming an increasingly viable technology for deriving meaningful indicators to meet sustainable forest management criteria. We review and highlight the value of ALS for quantifying indicators of biological diversity, ecosystem condition and productivity, soil and water, and the role of forests in global ecological cycles. We conclude by highlighting the need for increased education, tech transfer, flexible software, and reporting frameworks alongside five key considerations for using ALS to derive meaningful indicators of sustainable forest management. © 2021, Canadian Science Publishing. All rights reserved.

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@ARTICLE { GoodbodyCoopsLutherEtAl2021,
    AUTHOR = { Goodbody, T.R.H. and Coops, N.C. and Luther, J.E. and Tompalski, P. and Mulverhill, C. and Frizzle, C. and Fournier, R.A. and Furze, S. and Herniman, S. },
    JOURNAL = { Canadian Journal of Forest Research },
    TITLE = { Airborne laser scanning for quantifying criteria and indicators of sustainable forest management in canada },
    YEAR = { 2021 },
    NOTE = { cited By 1 },
    NUMBER = { 7 },
    PAGES = { 972-985 },
    VOLUME = { 51 },
    ABSTRACT = { Airborne laser scanning (ALS) has emerged as a technology capable of generating descriptors of vegetation structure and best available terrain information. Research and operational implementations of ALS data have highlighted their value for characterizing forest structure and generating spatially explicit and objective spatial coverages and mapping products for forest management. Continued emphasis to enhance forest stewardship is promoting novel methods to integrate ALS to detail non-timber ecosystem values like habitat, soil, and water. Standardized criteria and indicator frameworks such as the Canadian Council of Forest Ministers provide a reliable starting point for where ALS has opportunities to characterize ecosystems objectively regardless of location. In this review of primarily Canadian work, we highlight how ALS is becoming an increasingly viable technology for deriving meaningful indicators to meet sustainable forest management criteria. We review and highlight the value of ALS for quantifying indicators of biological diversity, ecosystem condition and productivity, soil and water, and the role of forests in global ecological cycles. We conclude by highlighting the need for increased education, tech transfer, flexible software, and reporting frameworks alongside five key considerations for using ALS to derive meaningful indicators of sustainable forest management. © 2021, Canadian Science Publishing. All rights reserved. },
    AFFILIATION = { Faculty of Forestry, The University of British Columbia, 2424 Main Mall, Vancouver, BC V6T 1Z4, Canada; Canadian Forest Service – Atlantic Forestry Centre, Natural Resources Canada, 26 University Drive, Corner Brook, NL A2H 6J3, Canada; Department of Applied Geomatics, Université de Sherbrooke, 2500 boulevard de l’université, Sherbrooke, QC J1K 2R1, Canada; Faculty of Forestry and Environmental Management, University of New Brunswick, 2 Bailey Drive, Fredericton, NB E3B 5A3, Canada },
    AUTHOR_KEYWORDS = { Ecosystem goods and services; Forest structure; Laser scanning; Non-timber values; Remote sensing },
    DOCUMENT_TYPE = { Review },
    DOI = { 10.1139/cjfr-2020-0424 },
    SOURCE = { Scopus },
    URL = { https://www.scopus.com/inward/record.uri?eid=2-s2.0-85109045266&doi=10.1139%2fcjfr-2020-0424&partnerID=40&md5=a3f96dc570e90b4a11ecfd0681217adf },
}

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