1. Evaluating Aboveground Terrestrial Carbon Flux as Ecosystem Planning Tool (Mt. Kenya Ecosystem)
Ochieng A. Adimo

2. Outline of the presentation
Introduction
Objectives
Methods
Results and discussions
Acknowledgement
3. Introduction
Presentation isan evaluation of :
Terrestrial Carbon sink flux estimation using;
Net Primary production (NPP)
Production Efficiency Models (PEMs) CASA , GLOPEM , TURC , C-Fix , MODIS, BEAMS (McCallum et al., 2009)
Vegetation remote sensing
General circulation model downscaling SDSM
GIS Interpolation of meteorological data
4. Net Primary Production (NPP)
Carbon is removed from the atmosphere via photosynthesis by plants
ecosystem
Gross Primary Production GPP( g C M2 )
Autotrophic respiration (Ra) ( g C M2 )
NPP ( g C M2 ) = GPP - Ra
Annual amount of vegetation produced on land in terms of elemental carbon.
5. Justification for using NPP Demand and Supply
NPP is the Common currency for
Climate Change,
Ecological, &
Economic Assessment. (Imhoff et al. 2010)
Demand for NPP strongly influences land use/land cover change and land management policy.
Agricultural versus natural systems - Conflicting needs; energy production
versus conservation of biodiversity
HUMAN APPROPRIATION OF NPP (HANPP)
6. Conceptual framework
PEMs are based on the theory of light use efficiency (LUE)
Which states that :
a relatively constant relationship exists between photosynthetic carbon uptake and radiation receipt at canopy level.
(McCallum et al., 2009)
At leaf level the relation is not linear
7. Conceptual frameworkContd
PEMs usually require inputs of ;
Meteorological data : radiation, temperature , moisture (VPD)
Satellite- derived fraction of absorbed photosynthetically available radiation (FAPAR).
8. Objectives
To assess Mt. Kenya vegetation carbon assimilation Potential by Net primary production Using CASA model
To Quantify Human Appropriation of Net Primary Production in Mt. Kenya Ecosystem
9. Hypothesis
CASA- can estimate Carbon flux variability in different vegetation using 30 M resolution Landsat 7 ETM
10. Study Area
11. Carnegie Ames Stanford Approach (CASA)model

A numerical model of monthly fluxes of water, carbon and nitrogen in terrestrial ecosystems.

12. NPP = Sr* EVI *emax*T*W 13. Where Sr = 12 hrs surface solar irradiance 14. EVI = enhanced vegetation index 15. T = stress scalar temperature 30 years 16. W = stress scalar water deficit 30 years 17. emax = LUE term at 0.39gCMJ-1 PAR