LoggingLab: An R package to simulate reduced-impact selective logging in tropical forests using forest inventory data-Reference-Cited by-同舟云学术

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LoggingLab: An R package to simulate reduced-impact selective logging in tropical forests using forest inventory data

Published:2024-01 Issue: Volume:487 Page:110539
ISSN:0304-3800
Container-title:Ecological Modelling
language:en
Short-container-title:Ecological Modelling

Author:

Badouard Vincyane^ORCID,Schmitt Sylvain,Salzet Guillaume,Gaquiere Thomas,Rojat Margaux,Bedeau Caroline,Brunaux Olivier,Derroire Géraldine

Funder

Centre Méditerranéen de l’Environnement et de la Biodiversité

Agence Nationale de la Recherche

Office français de la biodiversité

Publisher

Elsevier BV

Subject

Ecological Modeling

Reference56 articles.

1. Responses of tree populations and forest composition to selective logging in Guyana;Arets,2003

2. Long-term responses of populations and communities of trees to selective logging in tropical rain forests in Guyana;Arets,2005

3. Remote sensing of selective logging in Amazonia: assessing limitations based on detailed field observations, Landsat ETM+, and textural analysis;Asner;Remote Sens. Environ.,2002

4. A contemporary assessment of change in humid tropical forests;Asner;Conserv. Biol.,2009

5. Open-source tools in R for forestry and forest ecology;Atkins;For. Ecol. Manage.,2022

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