Journal cover Journal topic
Biogeosciences An interactive open-access journal of the European Geosciences Union
Journal topic
Volume 15, issue 20
Biogeosciences, 15, 6087–6104, 2018
https://doi.org/10.5194/bg-15-6087-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Biogeosciences, 15, 6087–6104, 2018
https://doi.org/10.5194/bg-15-6087-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 18 Oct 2018

Research article | 18 Oct 2018

Life cycle of bamboo in the southwestern Amazon and its relation to fire events

Ricardo Dalagnol1, Fabien Hubert Wagner1, Lênio Soares Galvão1, Bruce Walker Nelson2, and Luiz Eduardo Oliveira e Cruz de Aragão1,3 Ricardo Dalagnol et al.
  • 1Remote Sensing Division, National Institute for Space Research – INPE, São José dos Campos, SP, 12227-010, Brazil
  • 2Environmental Dynamics Department, National Institute of Amazonian Research – INPA, Manaus, AM, 69067-375, Brazil
  • 3College of Life and Environmental Sciences, University of Exeter, EX4 4RJ, UK

Abstract. Bamboo-dominated forests comprise 1 % of the world's forests and 3 % of the Amazon forests. The Guadua spp. bamboos that dominate the southwest Amazon are semelparous; thus flowering and fruiting occur once in a lifetime before death. These events occur in massive spatially organized patches every 28 years and produce huge quantities of necromass. The bamboo–fire hypothesis argues that increased dry fuel after die-off enhances fire probability, creating opportunities that favor bamboo growth. In this study, our aim is to map the bamboo-dominated forests and test the bamboo–fire hypothesis using satellite imagery. Specifically, we developed and validated a method to map the bamboo die-off and its spatial distribution using satellite-derived reflectance time series from the Moderate Resolution Imaging Spectroradiometer (MODIS) and explored the bamboo–fire hypothesis by evaluating the relationship between bamboo die-off and fires detected by the MODIS thermal anomalies product in the southwest Amazon. Our findings show that the near-infrared (NIR) is the most sensitive spectral interval to characterize bamboo growth and cohort age. Automatic detection of historical bamboo die-off achieved an accuracy above 79 %. We mapped and estimated 15.5 million ha of bamboo-dominated forests in the region. The bamboo–fire hypothesis was not supported because only a small fraction of bamboo areas burned during the analysis timescale, and, in general, bamboo did not show higher fire probability after the die-off. Nonetheless, fire occurrence was 45 % higher in dead than live bamboo in drought years, associated with ignition sources from land use, suggesting a bamboo–human–fire association. Although our findings show that the observed fire was not sufficient to drive bamboo dominance, the increased fire occurrence in dead bamboo in drought years may contribute to the maintenance of bamboo and potential expansion into adjacent bamboo-free forests. Fire can even bring deadly consequences to these adjacent forests under climate change effects.

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We used a time series of MODIS (MAIAC) satellite images from 2000 to 2017 to map the distribution of bamboo-dominated forests in the southwest Amazon and detect when the bamboo populations are suffering massive die-offs. The aim was to test if bamboo die-off is associated with higher fire probability, which could impact other plant species while promoting bamboo dominance. Our findings show 15.5 million ha of bamboo forests which are not directly associated with fire, except in drought years.
We used a time series of MODIS (MAIAC) satellite images from 2000 to 2017 to map the...
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