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  • AlmeidaEtal2019postprintFEM

    Llawysgrif awdur wedi’i dderbyn, 4 MB, dogfen-PDF

    Embargo yn dod i ben: 12/02/20

    Trwydded: CC BY-NC-ND Dangos trwydded

Dangosydd eitem ddigidol (DOI)

  • D.R.A. Almeida
  • S.C. Stark
  • R. Chazdon
  • B.W. Nelson
  • R.G. Cesar
  • P. Meli
  • E.B. Gorgens
  • M.M. Duarte
  • R. Valbuena
    University of CambridgeUniversity of Eastern Finland
  • V.S. Moreno
  • A.F. Mendes
  • N. Amazonas
  • N.B. Gonçalves
  • C.A. Silva
  • J. Schietti
  • P.H.S. Brancalion
Ambitious pledges to restore over 400 million hectares of degraded lands by 2030 have been made by several countries within the Global Partnership for Forest Landscape Restoration (FLR). Monitoring restoration outcomes at this scale requires cost-effective methods to quantify not only forest cover, but also forest structure and the diversity of useful species. Here we obtain and analyze structural attributes of forest canopies undergoing restoration in the Atlantic Forest of Brazil using a portable ground lidar remote sensing device as a proxy for airborne laser scanners. We assess the ability of these attributes to distinguish forest cover types, to estimate aboveground dry woody biomass (AGB) and to estimate tree species diversity (Shannon index and richness). A set of six canopy structure attributes were able to classify five cover types with an overall accuracy of 75%, increasing to 87% when combining two secondary forest classes. Canopy height and the unprecedented “leaf area height volume” (a cumulative product of canopy height and vegetation density) were good predictors of AGB. An index based on the height and evenness of the leaf area density profile was weakly related to the Shannon Index of tree species diversity and showed no relationship to species richness or to change in species composition. These findings illustrate the potential and limitations of lidar remote sensing for monitoring compliance of FLR goals of landscape multifunctionality, beyond a simple assessment of forest cover gain and loss.
Iaith wreiddiolSaesneg
Tudalennau (o-i)34-43
Nifer y tudalennau10
CyfnodolynForest Ecology and Management
Cyfrol438
Dyddiad ar-lein cynnar12 Chwef 2019
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 15 Ebr 2019
Cyhoeddwyd yn allanolIe
Gweld graff cysylltiadau