Strong temporal variation in treefall and branchfall rates in a tropical forest is related to extreme rainfall: results from 5 years of monthly drone data for a 50 ha plot
Raquel Fernandes Araujo,Samuel Grubinger,Carlos Henrique Souza Celes,Robinson I. Negrón-Juárez,Milton Garcia,Jonathan P. Dandois,and Helene C. Muller-Landau
Forest Global Earth Observatory (Center for Tropical Forest Science),
Smithsonian Tropical Research Institute, P.O. Box 0843-03092, Balboa, Ancón,
Panama
Samuel Grubinger
Department of Forest Resources Management, University of British
Columbia, 2424 Main Mall, Vancouver, BC V6T 1Z4, Canada
Carlos Henrique Souza Celes
Forest Global Earth Observatory (Center for Tropical Forest Science),
Smithsonian Tropical Research Institute, P.O. Box 0843-03092, Balboa, Ancón,
Panama
Climate Sciences Department, Lawrence Berkeley National Laboratory, 1
Cyclotron Road, Berkeley, CA 94720, USA
Milton Garcia
Forest Global Earth Observatory (Center for Tropical Forest Science),
Smithsonian Tropical Research Institute, P.O. Box 0843-03092, Balboa, Ancón,
Panama
Jonathan P. Dandois
Facilities Information Technology, Johns Hopkins Facilities and Real Estate, Johns Hopkins University, 3910 Keswick Rd., Suite N3100, Baltimore, MD 21211, USA
Forest Global Earth Observatory (Center for Tropical Forest Science),
Smithsonian Tropical Research Institute, P.O. Box 0843-03092, Balboa, Ancón,
Panama
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Total article views: 4,481 (including HTML, PDF, and XML)
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Total article views: 3,286 (including HTML, PDF, and XML)
Thereof 3,188 with geography defined
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Total article views: 1,195 (including HTML, PDF, and XML)
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Our study contributed to improving the understanding of temporal variation and climate correlates of canopy disturbances mainly caused by treefalls and branchfalls. We used a unique dataset of 5 years of approximately monthly drone-acquired RGB (red–green–blue) imagery for 50 ha of mature tropical forest on Barro Colorado Island, Panama. We found that canopy disturbance rates were highly temporally variable, were higher in the wet season, and were related to extreme rainfall events.
Our study contributed to improving the understanding of temporal variation and climate...
