Effects on Carbone budget of forests by wildfire and regional estimation of the effects CI: Yoshinobu Harazono (IARC, and Osaka prefecture Univ.) Major.

Slides:



Advertisements
Similar presentations
CEOS Working Group on Information Systems and Services - 1 Core Site WGISS Test Facility WGCV & WGISS Efforts John Faundeen & Stu Doescher, USGS WGISS-15.
Advertisements

Study on Carbon Budget for Ecosystems of China: Aspects and Progress Yao Huang Institute of Atmospheric Physics Chinese Academy.
Land Surface Evaporation 1. Key research issues 2. What we learnt from OASIS 3. Land surface evaporation using remote sensing 4. Data requirements Helen.
Extension and application of an AMSR global land parameter data record for ecosystem studies Jinyang Du, John S. Kimball, Lucas A. Jones, Youngwook Kim,
The Alaska Forest Disturbance Carbon Tracking System T. Loboda, E. Kasischke, C. Huang (Univ. MD), N. French (MTRI) J. Masek, J. Collatz (GSFC), D. McGuire,
The C budget of Japan: Ecosystem Model (TsuBiMo) Y. YAMAGATA and G. ALEXANDROV Climate Change Research Project, National Institute for Environmental Studies,
Land-use effects on spatial and temporal patterns of carbon storage and flux in PNW forests David Wallin Department of Environmental Sciences Huxley College.
A MONASH UNIVERSITY PERSPECTIVE Musa Kilinc and Danielle Martin School of Geography and Environmental Science.
A Synthesis of Terrestrial Carbon Balance of Alaska and Projected Changes in the 21 st Century: Implications for Climate Policy and Carbon Management To.
Scaling GPP at Flux Tower Sites in the Context of EOS/MODIS Validation
03/06/2015 Modelling of regional CO2 balance Tiina Markkanen with Tuula Aalto, Tea Thum, Jouni Susiluoto and Niina Puttonen.
The Role of Models in Remotely Sensed Primary Production Estimates
GERFS1 Top-down approach to estimation of the regional carbon budget in West Siberia S. Maksyutov (1) T. Machida, K. Shimoyama, N.Kadygrov, A. Itoh (1)
Evaluating the Role of the CO 2 Source from CO Oxidation P. Suntharalingam Harvard University TRANSCOM Meeting, Tsukuba June 14-18, 2004 Collaborators.
Questions How do different methods of calculating LAI compare? Does varying Leaf mass per area (LMA) with height affect LAI estimates? LAI can be calculated.
CSIRO LAND and WATER Estimation of Spatial Actual Evapotranspiration to Close Water Balance in Irrigation Systems 1- Key Research Issues 2- Evapotranspiration.
O AK R IDGE N ATIONAL L ABORATORY U. S. D EPARTMENT OF E NERGY 1 Carbon Cycle Modeling Terrestrial Ecosystem Models W.M. Post, ORNL Atmospheric Measurements.
Forrest G. Hall 1 Thomas Hilker 1 Compton J. Tucker 1 Nicholas C. Coops 2 T. Andrew Black 2 Caroline J. Nichol 3 Piers J. Sellers 1 1 NASA Goddard Space.
Retrieval of snow physical parameters with consideration of underlying vegetation Teruo Aoki (Meteorological Research Institute), Masahiro Hori (JAXA/EORC)
Climate Sensitivity of Boreal Forest Ecosystem Carbon Dynamics A. David McGuire and Colleagues BNZ LTER Annual Symposium 5 March 2009.
Land degradation & change detection of biophysical products using multi temporal SPOT NDVI image data : a case in Blue Nile river basin, Ethiopia Taye.
Summary of Research on Climate Change Feedbacks in the Arctic Erica Betts April 01, 2008.
1 Remote Sensing and Image Processing: 9 Dr. Hassan J. Eghbali.
The role of the Chequamegon Ecosystem-Atmosphere Study in the U.S. Carbon Cycle Science Plan Ken Davis The Pennsylvania State University The 13 th ChEAS.
Nelius Foley, Matteo Sottocornola, Paul Leahy, Valerie Rondeau, Ger Kiely Hydrology, Micrometeorology and Climate Change University College Cork, IrelandEnvironmental.
BIOME-BGC estimates fluxes and storage of energy, water, carbon, and nitrogen for the vegetation and soil components of terrestrial ecosystems. Model algorithms.
15-18 October 2002 Greenville, North Carolina Global Terrestrial Observing System GTOS Jeff Tschirley Programme director.
Translation to the New TCO Panel Beverly Law Prof. Global Change Forest Science Science Chair, AmeriFlux Network Oregon State University.
Spatial and temporal patterns of CH 4 and N 2 O fluxes from North America as estimated by process-based ecosystem model Hanqin Tian, Xiaofeng Xu and other.
How Do Forests, Agriculture and Residential Neighborhoods Interact with Climate? Andrew Ouimette, Lucie Lepine, Mary Martin, Scott Ollinger Earth Systems.
Remote Sensing of LAI Conghe Song Department of Geography University of North Carolina Chapel Hill, NC
Field research was conducted at the University of Minnesota Rosemount Research and Outreach Center. The experiment was conducted in a 17 ha agricultural.
Leaf Area Index for Fire Chronosequences in Siberian Boreal Forest PI: Don Deering, NASA GSFC CO-I: Slava Kharuk, Sukachev Institute of Forest Research.
Modeling Modes of Variability in Carbon Exchange Between High Latitude Ecosystems and the Atmosphere Dave McGuire (UAF), Joy Clein (UAF), and Qianlai.
Integration of biosphere and atmosphere observations Yingping Wang 1, Gabriel Abramowitz 1, Rachel Law 1, Bernard Pak 1, Cathy Trudinger 1, Ian Enting.
Access to and Add Value of Archived Data - Methodology of Data Integration and Mining for 1:1M Land Type Mapping of China Prof. Liu Chuang Prof. Shen Yuancen.
Importance of Recent Shifts in Soil Thermal Dynamics on Growing Season Length, Productivity, and Carbon Sequestration in Terrestrial High-Latitude Ecosystems.
Remote sensing for surface water hydrology RS applications for assessment of hydrometeorological states and fluxes –Soil moisture, snow cover, snow water.
Flux observation: Integrating fluxes derived from ground station and satellite remote sensing 王鹤松 Hesong Wang Institute of atmospheric physics, Chinese.
Change in vegetation growth and C balance in the Tibetan Plateau
Global Terrestrial Observing System linking the world’s terrestrial monitoring systems to provide a global vision of the Earth we share.
Midsummer Warming/Drought in the Boreal Forest. The inter- and intra-seasonal relationships between evaporation and rainfall, which are linked to summer.
Variations in Continental Terrestrial Primary Production, Evapotranspiration and Disturbance Faith Ann Heinsch, Maosheng Zhao, Qiaozhen Mu, David Mildrexler,
How Do Forests, Agriculture and Residential Neighborhoods Interact with Climate? Andrew Ouimette, Lucie Lepine, Mary Martin, Scott Ollinger Earth Systems.
Remote Sensing Subgroup 2: Process-based modeling of carbon fluxes Remotely sensing measurements as inputs into terrestrial and marine process models that.
Landscape-level (Eddy Covariance) Measurement of CO 2 and Other Fluxes Measuring Components of Solar Radiation Close-up of Eddy Covariance Flux Sensors.
Systematic Terrestrial Observations: a Case for Carbon René Gommes with C. He, J. Hielkema, P. Reichert and J. Tschirley FAO/SDRN.
Modeling CO 2 emissions in Prairie Pothole Region using DNDC model and remotely sensed data Zhengpeng Li 1, Shuguang Liu 2, Robert Gleason 3, Zhengxi Tan.
Goal: to understand carbon dynamics in montane forest regions by developing new methods for estimating carbon exchange at local to regional scales. Activities:
MODIS Net Primary Productivity (NPP)
A continuous monitoring system of terrestrial ecosystem for satellite validation "Phenological Eyes Network (PEN)"
Coupling Eddy Covariance Measurements with Remote Sensing to Upscale Net Carbon Flux Across a Heterogeneous Landscape Estimates of net carbon exchange.
IGARSS 2011, Jul. 27, Vancouver 1 Monitoring Vegetation Water Content by Using Optical Vegetation Index and Microwave Vegetation Index: Field Experiment.
CFusion and NCEO. NCEO Components Ciais et al IGOS-P Integrated Global Carbon Observing Strategy Global Carbon Data Assimilation System.
Xiangming Xiao Institute for the Study of Earth, Oceans and Space University of New Hampshire, USA The third LBA Science Conference, July 27, 2004, Brasilia,
Topic 7: Flux and remote sensing, merging data products, future directions 1. Databases (new-generation flux maps) (1) Make them available (online or offline)
Drought Effects on Forests and Forest Fires 1.What current remote sensing approaches are available to estimate the effects of drought and fire of forest.
Metrics and MODIS Diane Wickland December, Biology/Biogeochemistry/Ecosystems/Carbon Science Questions: How are global ecosystems changing? (Question.
Production.
ABSTRACT Boreal black spruce forest is highly susceptible to wildfire, and postfire changes in soil temperature and substrates have the potential to shift.
Arctic RIMS & WALE (Regional, Integrated Hydrological Monitoring System & Western Arctic Linkage Experiment) John Kimball FaithAnn Heinsch Steve Running.
Figure 10. Improvement in landscape resolution that the new 250-meter MODIS (Moderate Resolution Imaging Spectroradiometer) measurement of gross primary.
Comparison of GPP from Terra-MODIS and AmeriFlux Network Towers
Model-Data Integration: How to effectively analyze large data?
Western Mensurationists Meeting 2016
Continental Modeling and Analysis of the North American Carbon Cycle
Global Terrestrial Observing System
Xiquan Dong, Baike Xi, Erica Dolinar, and Ryan Stanfield
AOMIP and FAMOS are supported by the National Science Foundation
Jan Eiof Jonson, Peter Wind EMEP/MSC-W
Presentation transcript:

Effects on Carbone budget of forests by wildfire and regional estimation of the effects CI: Yoshinobu Harazono (IARC, and Osaka prefecture Univ.) Major Participants: Hiroki Iwata (IARC), Masahito Ueyama (Osaka prefecture Univ.), Hirohiko Nagano (IARC) Satellite MODIS, LANDSAT, ALOS (AVNIR-2 and PALSAR), GOSAT products (Level-3,4) IKONOS if possible. Location & Area UAF’s campus (UAF site), healthy stand over 120 yrs. Poker Flat Research Range (PF site), Hill top burned in 2004 Cascaden Ridge (CR site), burned in 2010 Alaska and North-East Asia (Planned) Expected Results Regional carbon flux evaluation Parameterization and ground truth validation of satellite derived parameters (NDVI, FAPAR, LAI, EVI, …)

2.1 Tower-base GHG flux observation We continue the flux and micrometeorology observations at UAF, PF, and CR sites, as the same as those in phase II and III. IARC : Y. Harazono, H. Iwata, and H. Nagano Osaka Pref. Univ. : M. Ueyama, C. Iwama , S. Kudo Cascaden Ridge (CR-site), where was burned in June 2010, was established in 2011 spring to focus on the recovery processes of carbon budget right after the wildfire.

Results from 2011-field Observations Monthly changes in Daily variations of CO2 fluxes top : NEE middle: GPP bottom : RE almost the same between two sites (1 & 7 years after burned)

2.2 Methane budget observation We focus on methane (CH 4 ) budget at forest site to better understand the roles of arctic terrestrial ecosystem on global change. Multiple Methodology 1) CH4-flux: Eddy correlation, Concentration gradient, Relaxed eddy accumulation, and chamber. Kyoto Univ. (Y.Kosugi, A. Sakabe) 2) Process of CH 4 exchange at ground surface are revealed by stable isotope analysis and decomposition measurement of soil organics. NIES and Tsukuba Univ. (M. Kondo, M. Utsumi) 3) Model validation : Improve the CH 4 budget model and satellite base regional estimation model. NIES and Fukushima Univ. (A. Ito, K. Ichii, M. Kondo) Results contribute to GOSAT-project as ground truth data and regional estimation.

2.3 Satellite data application (Remote Sensing analysis) 1) Validation of RS products To investigate the relationship between vegetation responses and remote sensing (RS) products such as FAPAR and NDVI, ground truth observations are necessary and conducted at observation sites (UAF, PF, and CR) as our study plan. IARC : H. Iwata and H. Nagano Okayama Univ. : T. Iwata and M. Otsuki 2) Application of satellite RS for regional estimation (modeling) Several types of RS-base GHG-budget model are improved by using validated parameters, and GHG-exchange and the budgets are estimated regionally. IARC : H. IwataOsaka Pref. Univ. : M. Ueyama Fukushima Univ. : K. Ichii and M. Kondo 3) Utilization of satellite data and IARC facilities MODIS, LANDSAT, ALOS (AVNIR-2 and PALSAR), GOSAT products (Level-3,4), IKONOS. We need recent ( ) fine resolution data (5-30 m grids) for progress of process-base model and regional estimation. RS-collaboration members will use IJIS-computing system when they are in IARC.

Relationship between FAPAR and EVI MODIS FAPAR product is overestimated for burned boreal forests. However, Application of obtained results to Light-Use- Efficiency Model resulted in good performances.

3. Expected results 1. Transient characteristics of carbon budget of black spruce forest after wildfire are revealed. 2. Relationship between vegetation responses and remote sensing (RS) products are revealed and the parameters are obtained. 3. Satellite-RS based model to estimate carbon budget is developed. 4. Parameters of Satellite-RS based model are determined. 5. Our understandings on GHG exchange in the northern ecosystem become deeper. 6. Archived data as IARC-database are available to share.

Collaborative field studies among Japanese Universities and Institutes. Flux and Ground truth observation: Masahito UEYAMA, Chie IWAMA (Osaka Prefecture Univ.) CH 4 and soil-C observation: Yoshiko KOSUGI, Ayaka SAKABE (kyoto Univ.), Miyuki KONDO (NIES) , and Motoo UTSUMI (Tsukuba Univ.) Air pollution related to fire-smoke : Kentaro HAYASHI (NIAES) Remote sensing and Modeling Remote sensing: Toru IWATA, Motoi OTSUKI (Okayama Univ.), and Kazuhito ICHII, Masahiro KONDO (Fukushima Univ.) Model-study on CH4-budget : Akihiko Ito (NIES), Masahito UEYAMA, Kazuhito ICHII, and Masahiro KONDO.