@InProceedings{LeitoldMoKeSaLoSc:2017:InCaTu,
author = "Leitold, Veronika and Morton, Douglas Christopher and Keller,
Michael and Santos, Maiza Nara dos and Longo, Marcos and
Scaranello, Marcos Augusto",
title = "Increase in canopy turnover during El Niņo drought conditions in
Amazon forests from multi-temporal airborne lidar",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "5369--5376",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "Amazon forests store large amounts of carbon in biomass and have a
strong influence on the terrestrial carbon sink. Under growing
human pressure and changing climatic conditions, these ecosystems
are at the risk of turning from carbon sink to carbon source.
Carbon cycling in intact Amazon forests is driven by the rate of
tree mortality; canopy turnover size and frequency can be assessed
using remote sensing data, yet the spatial and temporal
variability of turnover across the landscape is unclear. We used
multi-temporal airborne lidar data from intact and fragmented
forest sites in the Tapajo\́s National Forest region in
Brazil to estimate spatial and temporal patterns of forest
dynamics between 2013-14 and 2014-16. Annualized canopy turnover
rates within intact forests increased from a mean of 1.81% yr-1
(range 1.68 - 1.95% yr-1) in the first interval to 2.85% yr-1
(range 2.51 - 3.13% yr-1) in the second interval. Similarly,
annualized turnover values in fragmented forests increased from a
mean of 1.98% yr-1 (range 1.36 - 3.06% yr-1) in the first interval
to 3.12% yr-1 (range 2.17 - 4.70% yr-1) in the second interval.
The number of turnover events per unit area increased over time in
both forest types, but the average size of canopy changes remained
largely constant. These findings suggest that El Nin\̃o
drought conditions may accelerate canopy turnover in all Amazon
forests, highlighting the need for multi-temporal lidar over large
areas to further constrain the Amazon carbon budget.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59324",
language = "en",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSM4PC",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSM4PC",
targetfile = "59324.pdf",
type = "LIDAR: sensores e aplica{\c{c}}{\~o}es",
urlaccessdate = "2024, Apr. 29"
}