2. PRESENTER INFORMATION
Alex ujong Obeten
2022B8018137009
Msc Environmental Science
Name
Institute of urban Environment
Chinese Academy of sciences.
Degree
University
Nigeria
Country
3. • WHAT IS "LPJmL
MODEL"
• BRIEF. HISTORY OF
LPJmL MODEL
• APPLICATIONS O
LPJmL MODEL
• CONCLUSION
OUTLINE
4. WHAT IS LPJmL MODEL?
• LPJmL stands for Lund Potsdam
Jena Managed Land ( Bondeau et al
2007)
• model has been developed from LPJ
(Sitch et al 2003) a Dynamic Global
Vegetation Model (DGVM)
• provides a suitable modeling
framework to assess grassland
dynamics, grassland productivity, and
the impact on the biogeochemical
5. LPJmL DEALS WITH ?
• Process‐based dynamic vegetation
model, originates from EPIC and
BIOME models
• Simulates plant responses to
climate and climate change
• High spatial and temporal
resolution Photosynthesis Soil
water
Example DGVM output
Source :wikipedia
7. LPJmL MODEL INVOLVES?
Inlight of the strengthening
human interferences,DGVMs
were further developed to
integrate additional processes
that are relevant to the original
research quest of studying
biogeography and
biogeochemical cycles under
climate change.
8. LPJmL MODEL INVOLVES?
The incorporation of
human land-use and the
simulation of agricultural
production
systems,nutrient
limitation,as well as
hydrological modules and
river routing schemes.
10. FEATURES
• Higher diversity can yield
different results
• Amount of variability may
be positively correlated with
resilience small changes
result in big differences
11. APPLICATION OF LPJmL MODEL
• Modelling Mediterranean agro-ecosystems by
including agricultural trees in the LPJmL model
• Modeling vegetation and carbon dynamics of
managed grasslands at the global scale with LPJmL
3.6
• Evaluation of ecosystem dynamics, plant geography
and terrestrial carbon cycling in the LPJ Dynamic
Vegetation Model
• Implementing the nitrogen cycle into the dynamic
global vegetation, hydrology, and crop growth model
LPJmL (version 5.0)
13. Part 02
FUTURE IMPROVEMENT OF LPJmL
• Refine management modules (irrigation, rainwater
harvesting and vapor shift techniques, multiple
cropping)
• Add more crops (potato, cotton, date palm, citrus, …)
• Continue development of bioenergy plants
• Understand uncertainty in CO2 fertilization effect
(coupled effects from increased temperatures and
CO2)
• Improve grassland management and representation of
livestock
• Revise simulated impacts of extreme temperature and
precipitation