Abstract
Embracing old, imperfect, long-term, field Data
Pesquisa Florestal Brasileira [Brazilian Journal of Forestry Research], Vol.39(Special Issue), pp.468-468
IUFRO World Congress, XXV (Curitiba, Brazil, 29-Sep-2019–05-Oct-2019)
2019
Abstract
No abstract available.
Details
- Title
- Embracing old, imperfect, long-term, field Data
- Authors
- Andrew Marshall (Author) - University of the Sunshine Coast, Queensland, Tropical Forests and People Research CentreRobin Chazdon (Author) - University of the Sunshine Coast, Queensland, Tropical Forests and People Research CentreLiz Ota (Author) - University of the Sunshine Coast, Queensland, Tropical Forests and People Research CentreJerry Vanclay (Author) - Southern Cross UniversityDavid Lamb (Author) - The University of QueenslandGrahame Applegate (Author) - University of the Sunshine Coast, Queensland, Forest Industries Research CentreRobert K Colwell (Author) - University of ConnecticutJing Hu (Author) - The University of QueenslandJack Baynes (Author) - University of the Sunshine Coast, Queensland, Tropical Forests and People Research CentreJohn Herbohn (Author) - University of the Sunshine Coast, Queensland, Tropical Forests and People Research Centre
- Publication details
- Pesquisa Florestal Brasileira [Brazilian Journal of Forestry Research], Vol.39(Special Issue), pp.468-468
- Conference details
- IUFRO World Congress, XXV (Curitiba, Brazil, 29-Sep-2019–05-Oct-2019)
- Publisher
- Empresa Brasileira de Pesquisa Agropecuaria, Centro Nacional de Pesquisa de Florestas
- Date published
- 2019
- DOI
- 10.4336/2019.pfb.39e201902043
- ISSN
- 1983-2605
- Copyright note
- The originals published in the Brazilian Forestry Survey are made available under a Creative Commons Attribution-NonCommercial-SemDerivatives 4.0 International License.
- Organisation Unit
- Australian Centre for Pacific Islands Research; Tropical Forests and People Research Centre; Forest Industries Research Centre; School of Science, Technology and Engineering; Forest Research Institute
- Language
- English
- Record Identifier
- 99564006302621
- Output Type
- Abstract
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