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Saturday, March 14, 2020

Haverd et al. (2020) -- Models Deliberately Underestimate CO2 Greening of the Earth

Haverd, V., Smith, B., 
Canadell, J.G., Cuntz, M., 
Mikaloff-Fletcher, S., 
Farquhar, G., Woodgate, W., 
Briggs, P.R. and Trudinger, C.M. 

2020

Higher than expected 
CO2 fertilization 
inferred from leaf 
to global observations. 

Global Change Biology, 
https://doi.org/10.1111/gcb.14950.



NOTE:
CO2 is the 
staff of life
on our planet -- 
only a science denier 
would deny that fact,
and try to hide
the huge benefit
of extra CO2 
in the air.

NASA satellites 
have measured 
the 'greening' 
of our planet,
but they try 
to obscure
one cause.

People with science 
degrees who work 
for governments,
or receive some
government grants,
MUST demonize CO2 
to get their money
-- they must "believe"
what they are paid 
to believe.

Just like scientists
working for cigarette 
companies were 
paid to believe 
that smoking
was safe !

It's okay to ASSUME
CO2 causes mild,
harmless global 
warming, based on 
lab experiments.

But the usual claim, 
is dangerous CO2
warming, which is 
NOT supported 
by any real science,
or by the past 325 years
of mild global warming.

Only a science denier
would ignore the 
thousands of studies 
proving that more CO2 
in the atmosphere
accelerates plant growth,
and allows the plants
to use less water too.

Summaries of
dozens of studies
have been published 
here, on this blog.

The fertilizer effect 
of CO2 is why so many
greenhouse owners 
pay for, and use,
CO2 enrichment 
systems, to double 
or triple the CO2 level
inside their greenhouses,


SUMMARY:
Current CMIP5 
climate models 
grossly underestimate 
the future land sink 
( mainly plants absorbing
CO2 ), by 129%, with the 
low CO2 emissions scenario
            (  RCP2.6 )

These models 
fail to correctly 
account for the 
positive impacts 
of CO2 fertilization. 

As shown 
in the charts below,
global gross 
primary production 
       ( GPP ) 
increased 35%
since 1900,
primarily driven by the 
aerial fertilization effect 
of atmospheric CO2.

More CO2
in the atmosphere
increases plant productivity, 
enhances plant water use
efficiency, and reduces
resource limitations and 
environmental stresses.

Haverd et al. report
that atmospheric CO2 
increases were 
directly or indirectly
responsible 
for over 85% 
of the increase 
in GPP

The Haverd et al. (2020)
team of nine scientists 
note that 
"four independent lines 
of evidence indicate 
intensifying terrestrial 
biospheric activity, 
namely the increasing 
positive trends in 
(a) the global net 
land carbon sink; 

(b) the amplitude of the
 seasonal cycle of 
atmospheric CO2 
in the Northern Hemisphere; 

(c) satellite-observed 
leaf area; and 

(d) global gross 
primary production," 
citing multiple studies 
of supporting research. 



DETAILS:
The nine researchers 
used the Community 
Atmosphere-Biosphere 
Land Exchange model 
           ( CABLE ) 
to project the net land sink, 
over the period 2006-2099, 
under the IPCC's RCP2.6 
low emission scenario. 
( RCP2.6 assumes
a CO2 peak of 440 ppm,
and a temperature increase 
(above 1990) of +2.4°C. 
in 2050. )

The team found the 
terrestrial biosphere 
"would continue to 
sequester carbon 
well into the second half 
of the century", 
leading to a net land sink 
much larger than the 
average CMIP5 climate 
model ensemble, 
under the RCP2.6 
CO2 level growth 
assumption.



Chart 1, below: 
CO2 fertilization effect 
on global gross primary 
production (GPP), 
attributed to: 
(i) climate effect and 
atmospheric CO2 
x climate interaction effect 
          (orange); 

(ii) CO2 greening effect 
          (light green); 

(iii) CO2 leaf-level effect 
           (dark green).








Chart 2, below: 
Spatial distribution 
(panel a), 

latitudinal distribution 
of component factors 
(panel b), and 

driver-attribution 
(panel c) 

of the 1980-2016 
trend in global gross 
primary production 
        ( GPP ). 

Tot = total effect; 
C = atmospheric CO2 only; 
T = temperature; 
C x T = atmospheric CO2 
   and temperature interaction; 
P = precipitation; 
LUC = land use change. 

Only the
major drivers 
are isolated. 

Additional drivers 
( nitrogen deposition; 
specific humidity; 
wind speed; 
incoming short 
and long wave 
radiation ) 
and their interactions 
are not isolated 
but may contribute 
to the total effect. 

Error bars represent 
standard errors from 
linear regression fits 
to each driver component.