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GLOBAL ENVIRONMENTAL CHANGE SCIENCE
International Human Diemsions ProgrammeInternational Geosphere-Biosphere Programme
2004 and Beyond
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The Anthropocene Era
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Role and Objective
• to describe and understand Earth System dynamics,
• focusing on the interactive biological, chemical and physical processes,
• the changes that are occurring in these dynamics,
• and the role of human activities in these changes.
IGBP is an international scientific research programme onglobal change. Its objective is:
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CHARACTERISTICS OF NEXT DECADE OF GEC RESEARCH
• Strategic partnerships via Earth System Science-Partnership (IGBP + IHDP + WCRP + Diversitas)
• More emphasis on issues of societal concern
• More emphasis on the regional scale
• Global change v climate change
• Science focus on the coupled human environment system
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IGBP and IHDP in 2004 - 2005The transition to the 2nd phase and new structure of
IHDP and IGBP is complete. Priorities for 2004 - 2005 are:
• launch the final 2 new joint IHDP-IGBP core projects – GLP and LOICZ
• Implementation of iLEAPS• promote and support a small number of Fast Track Initiatives
(e.g., Fire, Nitrogen, Monsoon Asian Integrated Regional Study (MAIRS))
• enhance links to the observation community (e.g. via IGOS)• model-data assimilation• improved predictability of Earth System dynamics
• contribute to and support ESSP
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GHG
VOC, NOx O3
COUPLED HUMAN-ENVIRONMENT SYSTEM
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Combined Anthropogenic-Driven Activities
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Land • The nature and causes of land system change.
• The consequences of land system change for ecosystem services and Earth System functioning.
• Support for sustainable use of land systems using integrated analysis and modelling.
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The IGBP Land Project….…the Ultimate Challenge
• What are the limits to adaptability? Resilience? Sustainability?
• In terms of land systems, where are the critical thresholds that should not be crossed under any circumstances?
• What changes in the Earth System - nature, magnitude, rate - would be fatal for land systems in the context of modern societies?
• What are the accessible but intolerable domains in the co-evolution space of nature and humanity?
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• an integrated study of the Earth System, • the changes occurring to the System, and• the implications for global sustainability.
Earth System Science PartnershipDIVERSITAS, IGBP, IHDP, WCRP
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Implementation• Approaches
– Place-based research studies– long-term observations/experiments– Process models (e.g., vegetation/ecosystem models, agroecosystem
models, agent-based models)– Integrated studies
• Networks / networks of networks– existing GCTE, LUCC, Diversitas (and other EESP) networks– new networks– thematic, specific phenomena, tools
• Case studies– specific systems, e.g. arid, mountains– regional studies - incl. shared with other projects
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Canadell et al. 2000
Data-ModelFusion of
Multiple streams of Datasets
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OBSERVING EXTENT OF NATURAL DISTUBANCES
J. Logan,USFS
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Urban Footprints and Impacts
Pataki 2002GCTE-Focus 1
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Urban-Settlement AreaUrban-Settlement Area
Chamedies et al. 1994. Science
Point: Industrial tropospheric pollution [O3] of prime croplands
Point: Area of urban-industrial infrastructure remains small relative to other land-use/cover changes, but its “footprint” has significant land implications.
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0.0 0.15 0.30 0.45 0.60
Aerosol Optical Depth
An annually averaged MODIS aerosol optical depth for 2001 (courtesy of David Fillmore and NASA MODIS team)
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Global Terrestrial DatasetsGlobal Terrestrial Datasets
• REGIONAL AND PROCESS STUDIES
• FLUX TOWERS
• LAND USE AND INTENSITY STUDIES
• INVENTORY ANALYSIS
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time
space1 ha 1 km2 GlobeContinentsRegional
106 km2
centuries
decadal
Inter annual
seasonal
synoptic
Oneatm station
Flask network
EddyFlux
Towers *
Remote sensing
Atm Boundary layer measurements **
Space and time coverage of existing carbon observing networksterrestrial
* uneven geographic coverage **available as pilot studies only
Forest *Inventories
Soil carbon *
Ecological site studies *
From Ciais et al. Igco draft report, June 2002.
SPACE-TIME COVERAGE OF TERRESTRIAL OBSERVATION NETWORK
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• Developing and testing theory and models requires integration of complex in situ process data with large gridded data sets.
• Required data are multi-scale, many formats, originating in multiple disciplines.
• Rapid prototyping and development cycle to maximize user control of information systems, implies incorporating existing state-of-the-art components rather than de novo development
• Data systems must allow user-driven, knowledge-based querying of multiple data types
Information Technology for Biogeosciences
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User-driven so that information can be retrieved in the form needed for a research question rather than in the stored format(s). Example: Land cover, weather, eddy covariance point fluxes all brought to a common grid for carbon model validation.
Knowledge-based meaning that known properties of one queried variable may influence the retrieval of another variable. Example: known lags between climate and fluxes in the carbon cycle vary between ocean regions and ecosystem types. Example: known instrument characteristics affect the assignment of uncertainties, time-location-view angle affect interpretation and use in computations…
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From points to pixels
?
Create high res. productsby coupling high res. imagerywith field and tower data
Aggregate
Correlate
Some graphics courtesy of BigFoot project, layout courtesy of Shunlin LiangMultiple use of airborne or high res. satellite data imply some efficiencies in coordinated activities/sites
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Eg., Carbon uptake modeled using satellite inputs checked against eddy correlation data from the Niwot Ridge LTER site
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Point observations are characteristic of bioregions but must link to regional management history data for extrapolation to grid scale
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Soil Carbon DensitySoil Carbon Density
IGBP (DIS) Global Soils (2000)
Low
High
(kg/m2)
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Flux TowersFlux Towers
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0.0 0.15 0.30 0.45 0.60
Aerosol Optical Depth
An annually averaged MODIS aerosol optical depth for 2001 (courtesy of David Fillmore and NASA MODIS team)
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Extent of AgricultureExtent of Agriculture
DRAFT: Based on EDC’s Seasonal Land Cover Characteristics Data
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Free Air COFree Air CO22 Enrichment (FACE) Enrichment (FACE)
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FluxNet Tower SitesFluxNet Tower Sites
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Global Monitoring NetworksGlobal Monitoring Networks
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Based on DeFries et al., 2000
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time
space1 ha 1 km2 GlobeContinentsRegional
106 km2
centuries
decadal
Inter annual
seasonal
synoptic
Oneatm station
Flask network
EddyFlux
Towers *
Remote sensing
Atm Boundary layer measurements **
Space and time coverage of existing carbon observing networksterrestrial
* uneven geographic coverage **available as pilot studies only
Forest *Inventories
Soil carbon *
Ecological site studies *
From Ciais et al. Igco draft report, June 2002.
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EOS Land Validation Core Sites
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Global Sampling and STEP Maintenance
• Live (!!) Database: currently ~2300 sites globally
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Northeast Land Cover ProductNortheast Land Cover Product
Agriculture
Agriculture/Natural Vegetation Mosaic
Mixed Forest
Evergreen Needleleaf Forest
Deciduous Broadleaf Forest
Urban
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MODIS Vegetation Phenology:What is it?
(Zhang et al. 2003; RSE; Zhang et al. 2004 GCB; Zhang et al. 2004, GRL)
• Quantifies Intra-annual Variation (phenology)– Greenup, maturity, senescence, dormancy
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0 50 100 150 200 250 300 350 400
Julian day
Maturity stabilitySenescence onset
Dormancy onset
Dormancy stability
Duration of greenness
Duration of maturity
Maximum Greenness
Greenup onset
Greenup stability
Maturity onset
Senescence stability
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Global Results -2001(e.g., Northern Hemisphere Green Wave)
Credit: Xiaoyang Zhang