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		<isbn>978-85-17-00088-1</isbn>
		<label>59324</label>
		<citationkey>LeitoldMoKeSaLoSc:2017:InCaTu</citationkey>
		<title>Increase in canopy turnover during El Niño drought conditions in Amazon forests from multi-temporal airborne lidar</title>
		<format>Internet</format>
		<year>2017</year>
		<secondarytype>PRE CN</secondarytype>
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		<author>Leitold, Veronika,</author>
		<author>Morton, Douglas Christopher,</author>
		<author>Keller, Michael,</author>
		<author>Santos, Maiza Nara dos,</author>
		<author>Longo, Marcos,</author>
		<author>Scaranello, Marcos Augusto,</author>
		<electronicmailaddress>vleitold@gmail.com</electronicmailaddress>
		<editor>Gherardi, Douglas Francisco Marcolino,</editor>
		<editor>Aragão, Luiz Eduardo Oliveira e Cruz de,</editor>
		<e-mailaddress>daniela.seki@inpe.br</e-mailaddress>
		<conferencename>Simpósio Brasileiro de Sensoriamento Remoto, 18 (SBSR)</conferencename>
		<conferencelocation>Santos</conferencelocation>
		<date>28-31 maio 2017</date>
		<publisher>Instituto Nacional de Pesquisas Espaciais (INPE)</publisher>
		<publisheraddress>São José dos Campos</publisheraddress>
		<pages>5369-5376</pages>
		<booktitle>Anais</booktitle>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<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&#769;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&#771;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.</abstract>
		<area>SRE</area>
		<type>LIDAR: sensores e aplicações</type>
		<language>en</language>
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