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Brearley, Francis Q.; Adinugroho, Wahyu C.; Cámara-Leret, Rodrigo; Krisnawati, Haruni; Ledo, Alicia; Qie, Lan; Smith, Thomas E. L.; Aini, Fitri; Garnier, Fabien; Lestari, Nurul S.; Mansur, Muhammad; Murdjoko, Agustinus; Oktarita, Satria; Soraya, Emma; Tata, Hesti Lestari; Tiryana, Tatang; Trethowan, Liam A.; Wheeler, Charlotte E.; Abdullah, Muhammad; Aswandi; Buckley, Benjamin J. W.; Cantarello, Elena; Dunggio, Iswan; Gunawan, Hendra; Heatubun, Charlie D.; Arini, Diah Irawati Dwi; Istomo; Komar, Tajudin Edy; Kuswandi, Relawan; Mutaqien, Zaenal; Pangala, Sunitha R.; Ramadhanil; Prayoto; Puspanti, Antun; Qirom, Muhammad A.; Rozak, Andes H.; Sadili, Asep; Samsoedin, Ismayadi; Sulistyawati, Endah; Sundari, Siti; Sutomo; Tampubolon, Agustinus P. and Webb, Campbell O.
(2019).
DOI: https://doi.org/10.1007/s13595-019-0840-0
Abstract
Key message: Permanent sampling plots (PSPs) are a powerful and reliable methodology to help our understanding of the diversity and dynamics of tropical forests. Based on the current inventory of PSPs in Indonesia, there is high potential to establish a long-term collaborative forest monitoring network. Whilst there are challenges to initiating such a network, there are also innumerable benefits to help us understand and better conserve these exceptionally diverse ecosystems.
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- Item ORO ID
- 61526
- Item Type
- Journal Item
- ISSN
- 1286-4560
- Keywords
- Tropical forests; Carbon; Data sharing; Dynamics; Monitoring
- Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Environment, Earth and Ecosystem Sciences
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Copyright Holders
- © 2019 INRA and Springer-Verlag France SAS, part of Springer Nature
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