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EALCO - a model for climate impact analysis of ecosystems

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Presentation on theme: "EALCO - a model for climate impact analysis of ecosystems"— Presentation transcript:

1 EALCO - a model for climate impact analysis of ecosystems
Earth Sciences Sector Reducing Canada's vulnerability to climate change Shusen Wang Canada Centre for Remote Sensing Natural Resources Canada Yinsuo Zhang Vladimir Korolevich Richard Fernandes Josef Cihlar

2 Outline Introduction Model Structure Sample Results

3 National Regional Municipality Geo. & bio. C Paleo Climate
Social eco. cost Glacial Coastal Permafrost Ecosystems Water resources EO & atm. radiation CCP

4 Ecosystem and Climate Ecosystem Climate Energy Cycle Nitrogen Carbon
Water Ecosystem Ecosystem consists of fundamental physical, physiological, biogeochemical processes. Ecosystem processes are intrinsically dynamic and highly coupled with each other. Climate Climate Change Climate Variability Extreme Event Local vs. Regional Short term vs. Long term etc. Climate drives ecosystem. Ecosystem feedbacks on climate.

5 Climate Impact Assessment
EALCO - Ecological Assimilation of Land and Climate Observations Inputs Outputs Energy Cycle Nitrogen Carbon Water EALCO Satellite EO Surface & Subsurface Observations Climate Model Outputs/Reanalysis GIS Database Water Balance Carbon Budget Radiation and Energy Budget Nitrogen dynamics Impact Response Sensitivity Vulnerability Feedback Adaptation Outcomes Assessment

6 EALCO The Radiation module Gap probability based ray tracing approach.
Multi-canopy layers and multi-wavelength for solar radiation. Separation of direct vs. diffuse components. Long wave radiation calculated from canopy and ground surface temperatures obtained through their energy balance solutions. Wang, S., et al., 2002, Eco. Mod., 155: Wang, S. et al., 2004, Eco. Mod. (in review). Wang, S. et al., 2003, IGARSS

7 The Energy Balance module
EALCO Energy balance solution for canopy, soil, and snow, using surface temperatures as prognostic variables. Canopy energy balance coupled with plant water balance and canopy C dynamics. Multi-soil and snow layer identification for heat transfer and water/ice/snow phase change. Wang, S., 2002, International J. Climatology 22:

8 The Water Balance module
EALCO Dynamic canopy water balance solution using leaf water potential as the prognostic variable. Climate and physiological control on evapotranspiration through nested iteration for energy balance and intercellular CO2 balance. Multi-layer hydraulic conductance for soil and root (radial and axial). Richardson equation for soil water simulation.  method for ground surface evaporation. Wang, S., et al., 2002, International J. Climatology 22: Zhang, Y. and Wang, S., 2004, AGU 2004 Joint Assembly, Montreal, Canada.

9 The Carbon Balance module
EALCO Farquhar model based C fixation. Identification of sunlit and shaded leaves. Identification of different plant compartments for organ growth, respiration, and litter production. Identification of three C pools for litterfall and three C pools for soil organic matter. Multi-soil layer heterotrophic respiration. Wang, S., et al., 2002, Climatic Change 55: Wang, S., et al., 2001, Eco. Mod., 142:

10 The Nitrogen Balance module
EALCO Nitrogen balance among atmospheric deposition, fertilizer, and ecosystem leaching. Plant and soil N content balanced by root N uptake and litterfall. Dynamic root N uptake algorithms including both active and passive N transfers. Corresponding plant and soil N pools to carbon pools. Wang, S., et al., 2002, Climatic Change 55: Wang, S., et al., 2001, Eco. Mod., 142:

11 The Water Transfer scheme
EALCO ra qa leaf s,3 Canopy Soil layer 3 Soil layer 2 Atmosphere Soil layer 1 s,2 s,1 rc,sunlit rc,shaded qsat(Tc) c root soil rx,3 rx,1 rx,2 Cw rr,3 rr,2 rr,1 r,3 rs,3 r,2 rs,2 r,1 rs,1

12 EALCO The Plant C and N scheme Photosynthesis Foliage Stem Fine Root
Substrate C Structural C N Substrate N CO2 Litter fall Exudation Resistance N uptake Heartwood

13 EALCO The soil C and N scheme Fertilizer CO2 C N litterfall Microbial
Slow Humus Extract. Leaf, Stem Root PLANTC Active Lignin Cellulose Min. N N uptake Surface litter Soil layer 1 Soil layer 2 N deposition N Leaching

14 The Soil and Snow Thermal & Water scheme
EALCO LE H Rsdn Rldn Rlup G Runoff Snow layers Puddles LE H Rsdn Rldn Rlup G G Root uptake Wflow Soil layers Drainage or capillary rise Water table

15 Energy, Water, and CO2 processes around a leaf
EALCO Sensible heat ra Tc Ta H2O CO2 ci ca ra rl RN Leaf Interior Boundary layer Stomate ea ra rl es(Tc) CO2 ATP, NADPH Light reactions Dark reactions H2O O2 C

16 The coupling scheme of Energy, Water, and CO2
EALCO Iteration for c Iteration for Tc Iteration for Ci CANOPY CO2 balance Energy balance Water balance Control Equations: Canopy water balance Canopy energy balance Canopy CO2 balance

17 Sample Results - Response of Ci to CO2 concentration

18 Sample Results - 2XCO2 Impact on ET, GPP, and NPP

19 Site Application - Energy, water and CO2 fluxes

20 Site Application - Snow depth

21 Site Application - Soil and snow temperatures

22 Site Application - Annual C and H2O budgets for the boreal old aspen ecosystem Year Preci. mm ET GPP gC m-2 NPP NEP Meas. NEP 2000 484 316 1060 443 132 135 2001 235 1305 614 319 382 2002 287 338 954 417 155 148 ET – Evapotranspiration; GPP – Gross Primary Production; NPP – Net Primary Production; NEP – Net Ecosystem Productivity; Meas. NEP – Measured NEP.

23 Regional Application - ET validation using water balance measurements
Churchill-falls sub-basin average ET observed: 260mm/year (Courtesy of OURANOS Consortium)

24 National Application - Annual ET (1961-1990) at CWEEDS* stations
*CWEEDS - Canadian Weather Energy and Engineering Data Sets

25 National Application - Sample inputs

26 National Application - Sample outputs THANK YOU!


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