Constraining rooting depths in tropical rainforests using satellite data and ecosystem modeling for accurate simulation of gross primary production seasonality

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dc.contributor.author Ichii, K
dc.contributor.author Hashimoto, H
dc.contributor.author White, MA
dc.contributor.author Potter, C
dc.contributor.author Hutyra, LR
dc.contributor.author Huete, AR
dc.contributor.author Myneni, RB
dc.contributor.author Nemani, RR
dc.date.accessioned 2010-07-15T07:26:57Z
dc.date.issued 2007-01
dc.identifier.citation Global Change Biology, 2007, 13 (1), pp. 67 - 77
dc.identifier.issn 1354-1013
dc.identifier.other C1UNSUBMIT en_US
dc.identifier.uri http://hdl.handle.net/10453/12786
dc.description.abstract Accurate parameterization of rooting depth is difficult but important for capturing the spatio-temporal dynamics of carbon, water and energy cycles in tropical forests. In this study, we adopted a new approach to constrain rooting depth in terrestrial ecosystem models over the Amazon using satellite data [moderate resolution imaging spectroradiometer (MODIS) enhanced vegetation index (EVI)] and Biome-BGC terrestrial ecosystem model. We simulated seasonal variations in gross primary production (GPP) using different rooting depths (1, 3, 5, and 10m) at point and spatial scales to investigate how rooting depth affects modeled seasonal GPP variations and to determine which rooting depth simulates GPP consistent with satellite-based observations. First, we confirmed that rooting depth strongly controls modeled GPP seasonal variations and that only deep rooting systems can successfully track flux-based GPP seasonality at the Tapajos km67 flux site. Second, spatial analysis showed that the model can reproduce the seasonal variations in satellite-based EVI seasonality, however, with required rooting depths strongly dependent on precipitation and the dry season length. For example, a shallow rooting depth (1-3m) is sufficient in regions with a short dry season (e.g. 0-2 months), and deeper roots are required in regions with a longer dry season (e.g. 3-5 and 5-10m for the regions with 3-4 and 5-6 months dry season, respectively). Our analysis suggests that setting of proper rooting depths is important to simulating GPP seasonality in tropical forests, and the use of satellite data can help to constrain the spatial variability of rooting depth. © 2006 Blackwell Publishing Ltd.
dc.language eng
dc.relation.isbasedon 10.1111/j.1365-2486.2006.01277.x
dc.title Constraining rooting depths in tropical rainforests using satellite data and ecosystem modeling for accurate simulation of gross primary production seasonality
dc.type Journal Article
dc.parent Global Change Biology
dc.journal.volume 1
dc.journal.volume 13
dc.journal.number en_US
dc.journal.number 1 en_US
dc.publocation UK en_US
dc.identifier.startpage 67 en_US
dc.identifier.endpage 77 en_US
dc.cauo.name SCI.Faculty of Science en_US
dc.conference Verified OK en_US
dc.for 0502 Environmental Science and Management
dc.for 0602 Ecology
dc.personcode 108636
dc.percentage 50 en_US
dc.classification.name Ecology en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords Amazon
dc.description.keywords Biome-BGC
dc.description.keywords Carbon cycle
dc.description.keywords Gross primary production
dc.description.keywords MODIS
dc.description.keywords Remote sensing
dc.description.keywords Rooting depth
dc.description.keywords Seasonal cycle
dc.description.keywords Terrestrial biosphere model
dc.description.keywords Tropical forest
dc.description.keywords Vegetation index
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Science
pubs.organisational-group /University of Technology Sydney/Strength - C3
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
pubs.consider-herdc false
utslib.collection.history Closed (ID: 3)


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