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Optional decoupling of fine root biomass from canopy trim logic #354
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if ( int(EDPftvarcon_inst%allom_fmode(ipft)) .eq. 1 ) then | ||
! only query fine root biomass if using a fine root allometric model that takes leaf trim into account | ||
call bfineroot(currentcohort%dbh,ipft,currentcohort%canopy_trim,tar_bfr) | ||
bfr_per_bleaf = tar_bfr/tar_bl |
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In cases where allom_fmode is not 1, will this generate an un-initialized variable? Should this be outside the filter?
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bfr_per_bleaf that is
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oh, i see now, the if clause is used later on, so the variable is only used inside those clauses.
Looked through the changes. I think the concept, and that it is optional, is a great addition. We were making a pretty big assumption that roots are trimmed based on productivity, and that they were both proportional to leaf trimming and factored into the costs. |
testing this now |
merging, all expected PASS |
I have been playing around with changing the canopy trimming limits, and I also wanted to test this new optional decoupling of fine root and leaf biomass to see how it would effect LAI, biomass, etc. I changed allom_fmode = 2 to trigger the decoupling and allom_l2fr = 0.7 to reduce the investment to root. I'm not sure how much lower this value should go, but that seemed like a good start (reducing from 1.0). I'm attaching some LAI results with this new option. If you see LAI does start out a little bit higher, but then ends up dropping down to the default value again. AND there are these weird drops, and crashes in LAI when before ZF2 always stays pretty stable. Thoughts? |
That is quite wierd. Is there a spike in mortality around the timing of the
big drop?
2018-05-21 15:55 GMT-06:00 Jennifer Holm <[email protected]>:
… I have been playing around with changing the canopy trimming limits, and I
also wanted to test this new optional decoupling of fine root and leaf
biomass to see how it would effect LAI, biomass, etc.
I changed allom_fmode = 2 to trigger the decoupling and allom_l2fr = 0.7
to reduce the investment to root. I'm not sure how much lower this value
should go, but that seemed like a good start (reducing from 1.0).
I'm attaching some LAI results with this new option. If you see LAI does
start out a little bit higher, but then ends up dropping down to the
default value again. AND there are these weird drops, and crashes in LAI
when before ZF2 always stays pretty stable.
Thoughts?
[image: lai testing_allom_fmode]
<https://user-images.githubusercontent.com/8737688/40331832-844ff002-5d06-11e8-9406-eb0de800a53b.png>
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Dr Rosie A. Fisher
Staff Scientist
Terrestrial Sciences Section
Climate and Global Dynamics
National Center for Atmospheric Research
1850 Table Mesa Drive
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This PR adds a new allometry mode, which sets fine root biomass independently from the canopy trim logic.
Description:
As part of the suite of hypotheses behind the persistent low LAI bias we've been noticing in FATES (#339), one possible issue is that the code has been coupling the canopy trim logic between both the leaf pool and the fine root pool. What this means in practice is that, when deciding whether an increment of leaf biomass is in the net a good thing for the plant or not, the plant compares the marginal gain from an increment of LAI against the marginal costs of both the leaf and the associated fine root. Since there is much uncertainty around the fine root biomass, it is perhaps an overly strong assumption that the two are linked so tightly. So this PR adds the option to decouple the two allometries, such that fine root biomass is tied to maximum (untrimmed) leaf biomass rather than the trimmed target biomass.
The option is triggered using the variable
fates_allom_fmode
in the parameter file. Previously there was only one fine root allometry mode (fates_allom_fmode=1
); this behavior remains the same but the user can now set a decoupled allometry (fates_allom_fmode=2
) which sets the fine root biomass as a function of the untrimmed leaf biomass. Note that what this means is that we may also want to reduce the target fine root : leaf biomass ratios (fates_allom_l2fr
) as well so as to rebalance the overall investment to roots.An outcome of this change is that by invoking the new allometry, the above:belowground NPP investment starts to become more plastic because we are no longer holding them fixed relative to each other. The implications of that are still to be explored.
Collaborators:
Chatted about this with @rgknox and @rosiealice.
Expectation of Answer Changes:
Should be b4b with the default parameter set, answer-changing if setting the new allometry.
Checklist:
Test Results:
Not yet tested except to ensure that it does what it is meant to, which it does.
RK: tested cheyenne, fates test, all expected PASS, B4B with master