News in 2008
Nov. 2, 2008
Our first of a series of study in quantifying the uncertainty of large-scale carbon dynamics has been just published in Journal of Geophysical Research Biogeosciences.
Citation:
Tang, J., and Q. Zhuang (2008), Equifinality in parameterization of process-based biogeochemistry models: A significant uncertainty source to the estimation of regional carbon dynamics, J. Geophys. Res., 113, G04010, doi:10.1029/2008JG000757.
Abstract:
The study uses a process-based biogeochemistry model, the Terrestrial Ecosystem Model (TEM), and a Bayesian inference framework to quantify the influence of parameterization equifinality on the estimates of carbon dynamics in boreal forest ecosystems during the 20th century.
Oct. 22, 2008
In collaboration with AmeriFlux principal investigators, our lab study on quantifying net ecosystem exchange (NEE) at 1km by 1km spatial resolution and 8-day temporal resolution for the continental US was just published in Agricultural and Forest Meteorology.
Citation:
Jingfeng Xiao, Qianlai Zhuang, Dennis D. Baldocchi, Beverly E. Law, Andrew D. Richardson, Jiquan Chen, Ram Oren, Gregory Starr, Asko Noormets, Siyan Ma, Shashi B. Verma, Sonia Wharton, Steven C. Wofsy, Paul V. Bolstad, Sean P. Burns, David R. Cook, Peter S. Curtis, Bert G. Drake, Matthias Falk, Marc L. Fischer, David R. Foster, Lianhong Gu, Julian L. Hadley, David Y. Hollinger, Gabriel G. Katul, Marcy Litvak, Timothy A. Martin, Roser Matamala, Steve McNulty, Tilden P. Meyers, Russell K. Monson, J. William Munger, Walter C. Oechel, Kyaw Tha Paw U, Hans Peter Schmid, Russell L. Scott, Ge Sun, Andrew E. Suyker, Margaret S. Torn, 2008, Estimation of net ecosystem carbon exchange for the conterminous United States by combining MODIS and AmeriFlux data. Agricultural and Forest Meteorology, 148, 1827-1847
Abstract:
Our study demonstrated that our empirical approach is effective for scaling up eddy flux NEE measurements using satellite data of MODIS to the continental scale and producing spatially-explicit NEE estimates across multiple biomes. Our estimates may provide an independent dataset from simulations with biogeochemical models and inverse modeling approaches for examining the spatiotemporal patterns of NEE and constraining terrestrial carbon budgets over large areas.
Aug. 15, 2008
In collaboration with the Chinese Academy of Sciences, our research on quantifying the net primary production of Chinese forest ecosystems is published in the journal of Mitigation and Adaptation Strategies for Global Change.
Abstract:
The article is entitled "Quantification of Net Primary Production of Chinese Forest Ecosystems with Spatial Statistical Approaches". The study took a new approach in using geospatial statistics and ground-truth data to provide the estimate and its uncertainty of this important natural resource in China.
Aug. 12, 2008
Under the auspices of the National Center for Ecological Analysis and Synthesis (NCEAS), a special section focusing on recent methane cycling study has been published at Journal of Geophysical Research -- Biogeoscience organized by Prof. Qianlai Zhuang and Prof. Bill Reeburgh.
Abstract:
The section presents results from new field studies, new instruments, and new approaches to the above areas. The section specifically addresses the issues of methane emissions in both natural and managed ecosystems, which are undergoing anthropogenic and natural perturbations of water table, permafrost thaw, volcanic deposition, sulfur deposition, and manure/fertilizer amendment. To better quantify the regional and global CH4 emissions, these effects and controls need to be considered in biogeochemistry models. The continuous and long-term observations of CH4 fluxes impacted by those factors and processes should still be a priority for the CH4 research community. For complete set of articles, one may find at http://www.agu.org/contents/sc/ViewCollection.do?collectionCode=METHANE1&journalCode=JG
July 2, 2008
Our lab has been funded by DOE with a project " Quantifying Climate Feedbacks from Abrupt Changes in High-Latitude Trace-Gas Emissions" in collaboration with MIT, Marine Biological Laboratory, and University of Alaska.
Abstract:
The goal is to quantify the potential for threshold changes in natural emission rates of trace gases, particularly methane and carbon dioxide, from pan-arctic terrestrial systems under the spectrum of anthropogenically forced climate warming, and the extent to which these emissions provide a strong feedback mechanism to global climate warming.
March 28, 2008
Congratulations! Xiaoliang has just been selected as the Boeing award for Best Paper in Image Analysis and Interpretation by the American Society for Photogrammetry & Remote Sensing(ASPRS) with his paper, entitled "Removal of Noise by Wavelet Method to Generate High Quality Temporal Data of Terrestrial MODIS Products"
Citation:
Photogrammetric Engineering & Remote Sensing, 73(10) 1129-1139.
The presentation of the award certificate will take place during the ASPRS 2008 Annual Conference in Portland, Oregon, April 30th.