an introduction to physical ecology - ozfluxan introduction to physical ecology overview what the...
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www.csiro.au
Ray Leuning
CSIRO Marine and Atmospheric Research, Canberra, Australia
An Introduction to physical ecology
Overview
What the ‘well tempered physical ecologist’ needs to know
•Day 1 – Earth system science & ecosystem processes
•Day 2 – Everything you wanted to know about micrometeorology but were too afraid to ask
•Day 3 – Visit Wombat State Forest flux station
�Handling data from flux stations
•Day 4 - Modelling concepts and parameter estimation
•Day 5 – Application of near- to far-field remote sensing to ecology
How can measurements at local scales be used to construct local to global budgets of C, H2O, energy and trace gases?
Basin
Patch
Catchment
Continent
Big question
What the biosphere breathes
Courtesy Dennis Baldocchi UC Berkeley
H2O
mmol m -2 s -1
µmol m -2 s -1
nmol m -2 s -1
fmol m -2 s -1
H 2O
WetlandsAerobic
SoilsAnaerobic
Soils
C5H8NO 2
NO CH4
C10 H16
NH3
O 3
NH3N2O H 2S
CO
COS
CO 2
CO 2
Biogeophysical cycles
Water
SurfaceConductance
Transpiration/Evaporation
AvailableEnergy
Photosynthesis/Respiration
LAI
Carbon
NutrientsLitterSoil Moisture
PBL ht
Sensible Heat
Courtesy Dennis Baldocchi UC Berkeley
sola
r ra
dia
tio
n (
net
)
terr
estr
ial r
adia
tio
n
atm
osp
her
ic r
a dia
tio
n
pr e
cip
itat
i on
hea
t (n
et)
eva p
ora
tio
n
PA
R
CO
2 (a
ssim
i lati
on
)
CO
2 (r
esp
irat
ion
)
trac
e g
ases
aero
sol
Typical fluxes measured
Courtesy HP Schmid
Cannot measure everywhere, but can sample in bio-climatic space
Courtesy Dennis Baldocchi UC Berkeley
Data from flux stations help to -
Improve understanding of ecosystem processes
� Directly measure mass & energy budgets
� High temporal resolution → new insights
� Data for land surface model validation & development
� Data for model parameters for many land surface types – sample across bioclimatic space
� Carbon cycling
� Hydrology
Validate remote sensing products� LAI
� GPP� Evaporation & catchment water balances
Continuous measurements mean -
New challenges to micrometeorology
�Air flow in canopies
�Air flow over hills
�Nocturnal drainage flows
�Coupling of flow in and above canopies
�Flux-gradient relationships
Controlling processes & linkages:Roles of time and space scales
canopy
landscape
region/biome
continent
secon
ds
days
years
centu
ries
Weather:ppt, T, u,
Rg
Ecosystem Dynamics:species, functional
type
Climate
Biogeo-chemistry:
LAI, C/N, VcmaxBiophysics:
λλλλE, H, A, Gc
Courtesy Dennis Baldocchi UC Berkeley
CABLE: a typical land surface modelsimulates processes at multiple time scales
Rapid biophysical processes
Canopy conductancephotosynthesis,leaf respiration
Carbon transfer,Soil temp. & moistureavailibity
Slow biogeographicalprocesses
Vegetation dynamics & disturbance
Land-use andland-cover change
Vegetationchange
Autotrophic andHeterotrophic
respiration
Allocation
Intermediatebiogeochemical processes
Phenology
Turnover
Nutrient cycle
Solution of SEB;canopy and ground
temperaturesand fluxes
Soil heat andmoisture
Surface waterbalance
Update LAI,Photosyn-thesis capacity
Atmospheric forcingT, u, Pr, q, Rs, Rl, CO2
Radiationwater, heat, & CO2fluxes
day years
Biogeo-chemicalforcing
Atmosphere
hour
FluxesPlant dynamics
Vegetation dynamics
Rapid biophysical processes
Canopy conductancephotosynthesis,leaf respiration
Carbon transfer,Soil temp. & moistureavailibity
Slow biogeographicalprocesses
Vegetation dynamics & disturbance
Land-use andland-cover change
Vegetationchange
Autotrophic andHeterotrophic
respiration
Allocation
Intermediatebiogeochemical processes
Phenology
Turnover
Nutrient cycle
Solution of SEB;canopy and ground
temperaturesand fluxes
Soil heat andmoisture
Surface waterbalance
Update LAI,Photosyn-thesis capacity
Atmospheric forcingT, u, Pr, q, Rs, Rl, CO2
Radiationwater, heat, & CO2fluxes
day years
Biogeo-chemicalforcing
Atmosphere
hour
FluxesPlant dynamics
Vegetation dynamics
Wang
Course outlineStart time Monday, 1 February 2010 Tuesday, 2 February 2010 Wednesday, 3 February 2010 Thursday, 4 February 2010 Friday, 5 February 2010
8:30 - 9:30Welcome & course outlineRL
Essential concepts in atmospheric structure, stability and turbulence statisticsRL
Within-canopy remote sensing - hemispherical photographs, lidar, spectrometersBS, EvG
9:30 - 10:30Ecology & earth system scienceLH, PI
Introduction to eddy flux theoryRL
Aircraft remote sensing - hyperspectral and lidar measurmentsJH
10:30 - 11:00 Break Break Break Break
11:00 - 12:00
Introduction to the soil-plant-atmosphere continuumRL
Air flow in complex terrain & nocturnal fluxesEvG
Introduction to CABLE, the Community Atmosphere-Biosphere Land Exchange ModelVH
Potential and limitations of satellite remote sensingAH
12:00 - 13:00
Stocks and flows of water, carbon and energy through ecosystemsLH & WM
Using the theory to make good measurementsRL
Hands on: Parameter estimation, data assimilationGA, JB, RL, PI, VH
Some application of satellite remote sensing:fire & phenologyBS, JB, LH
13:00 - 14:00 Lunch Lunch Lunch Lunch Lunch
14:00 - 15:00Soil trace gas exchange measurementsSL & Melb univ
General discussion: Critical assessment of flux station design at Wombat State ForestLead: ML
Wrap up and student feedbackRL
15:00 - 16:00
Ancillary ecological measurements I - allometry, sap flow, fluxnet tables. LH, JB, ML
Data editing, quality control & gapfillingPI, EvG
Pack up and return to base
16:00 - 16:30 Break Break Break Break
16:30 - 18:00
Ancillary ecological measurements II - LAI. Soil and Site characterisation. LH, JB, SL
Principles of design & setting up a flux stationPI, JB
Hands on: data editing and gap-fillingPI, EvG, RL
Interpreting ecosystem scale fluxes of carbon and waterLH
18:00 - 19:30 Dinner Dinner Dinner Dinner
19:30 - 21:00 Student posters Student posters Relaxation Relaxation
Introduction to flux station instrumentation - sensors, data loggers, programming, …Flux station management & safetyPI, DH
Wombat State Forest visitSL, Melb University team
Hands on: CABLE exerciseParameter estimation, data assimilationGA, JB, RL, PI, VH
Understanding models & modelling experimentsGA
Why do I need all this knowledge?“I can drive a car without knowing how it works!”
Many components needed to understand & model ecosystems
Knowledge provides flexibility and adaptability
�The most successful scientists bring knowledge from different disciplines to create new understanding
Tomorrow’s problem will not be the same as today’s
�Basic knowledge will help with problem solving skills
A physical ecologist needs knowledge in many fields
Micrometeorology
Physics
Ecophysiology
Vegetation dynamics
Statistics
Modelling
Measurement
Data analysis
Physical Ecology