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, Kazuhito en_US
dc.contributor.author Hashimoto, Hirofumi en_US
dc.contributor.author White, Michael en_US
dc.contributor.author Pottors, Christopher en_US
dc.contributor.author Hutyra, Lucy en_US
dc.contributor.author Huete, Alfredo en_US
dc.contributor.author Myneni, Ranga en_US
dc.contributor.author Nemani, Ramakrishna en_US
dc.contributor.editor en_US
dc.date.accessioned 2010-07-15T07:26:57Z
dc.date.available 2010-07-15T07:26:57Z
dc.date.issued 2007 en_US
dc.identifier 2009001180 en_US
dc.identifier.citation Ichii Kazuhito et al. 2007, 'Constraining rooting depths in tropical rainforests using satellite data and ecosystem modeling for accurate simulation of gross primary production seasonality', Blackwell, vol. 13, pp. 67-77. en_US
dc.identifier.issn 1354-1013 en_US
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 10 m) 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?3 m) 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?10 m 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. en_US
dc.language en_US
dc.publisher Blackwell en_US
dc.relation.isbasedon http://dx.doi.org/10.1111/j.1365-2486.2006.01277.x en_US
dc.title Constraining rooting depths in tropical rainforests using satellite data and ecosystem modeling for accurate simulation of gross primary production seasonality en_US
dc.parent Global Change Biology en_US
dc.journal.volume 13 en_US
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 060200 en_US
dc.personcode 0000058731 en_US
dc.personcode 0000058732 en_US
dc.personcode 0000058733 en_US
dc.personcode 0000058734 en_US
dc.personcode 0000058735 en_US
dc.personcode 108636 en_US
dc.personcode 0000058715 en_US
dc.personcode 0000058736 en_US
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 ? Biome-BGC ? carbon cycle ? gross primary production ? MODIS ? remote sensing ? rooting depth ? seasonal cycle ? terrestrial biosphere model ? tropical forest ? vegetation index en_US


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