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add ability to homogenize the seed pool #181
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One thing to consider is that eventually we may want to investigate spatial migration of PFTs, ie grid-to-grid over long-time scales. This type of behavior would be influenced by cross-grid seed rain and how prevalent a PFT is in neighboring cells. How we make decisions vis-a-vis 1/2 would impact this type of dynamic. |
@rgknox good point, but I see that as a pretty different issue, as it starts to get into island biogeography type population/metapopulation issues. suggest tabling that for now until we really start to deal with seed dispersal. anyway, what i am proposing is a switch that will default be off for the time being so will not necessarily conflict with whatever we do for seed dispersal. |
I think #2 sounds doable...
…On 26 January 2017 at 16:06, Charlie Koven ***@***.***> wrote:
@rgknox <https://github.com/rgknox> good point, but I see that as a
pretty different issue, as it starts to get into island biogeography type
population/metapopulation issues. suggest tabling that for now until we
really start to deal with seed dispersal. anyway, what i am proposing is a
switch that will default be off for the time being so will not necessarily
conflict with whatever we do for seed dispersal.
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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
Boulder, Colorado, 80305
USA.
+1 303-497-1706
http://www.cgd.ucar.edu/staff/rfisher/
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if anyone's interested in playing with this, i pushed up a version that does it on a new branch, https://github.com/ckoven/ed-clm/tree/homogenize_seeds aka commit ac46e0f . |
…omogenization Merge branch 'new_mort_diagnostics' added a bunch of new diagnostics and also a mode to prevent competitive exclusion. the new diagnostics cover: * canopy vs. understory resolved population numbers, mortality, growth increment, GPP, and respiration fluxes so as to see what's going on in the understory separately from what's going on in the canopy * now tracking cohort termination (due to both numerical truncation but more importantly also when cohorts' storage pools go negative) as a sixth mortality term, which has been occurring all along, but was not being tracked as a mortality term, and turns out to be important to the population budget * now tracking recruitment, so that we can ensure conservation of individuals as dn/dt = recruitment - sum of all mortality terms * redefined the canopy_area_by_patch_age diagnostic to use cohort-level rather than patch-level canopy area (since patch-level canopy area saturates at the patch area, whereas cohort-level canopy area doesn't so that the ratio of canopy_area_by_patch_age / patch_area_by_age becomes a useful metric of that space from pre-closure through multiple canopy levels * the seed homogenization is default off but if set to be on prevents competitive exclusion, like seed rain, but without requiring a non-balanced carbon budget. Fixes: #181 User interface changes?: No Code review: Requesting @rosiealice and @rgknox review. Testing: rgknox / ckoven Test suite: ed suite on lawrencium-lr3 Test baseline: a5dc8da Test namelist changes: Test answer changes: bit for bit Test summary: all PASS andre: Test suite: ed - yellowstone gnu, intel, pgi ed - hobart nag Test baseline: b0bceb0 Test namelist changes: none? Test answer changes: bit for bit Test suite: clm_short - yellowstone gnu, intel, pgi Test baseline: clm4_5_12_r195 Test namelist changes: none Test answer changes: bit for bit
On call today, in discussion of possible ways to understand the nature of the competitive exclusion that dominates PFT dynamics of FATES, one proposal was to try cutting the reproduction-recruitment feedback to decouple recruitment rates from overstory survivorship. that way we can better understand the relative magnitude of competitive exclusion that occurs over an individuals' life from the overall exclusion that occurs. There are (at least) two ways of doing that: (1) seed rain, which already exists in the model, or (2) just homogenize the seed production so that each PFT produces seed mass of every existing PFT in equal proportions. A possible advantage of option 2 is that it is carbon-conservative, whereas option 1 clearly isn't. Option 2 is essentially how they do it in LPJml-FIT (combined wit an arbitrarily large number of PFTs). Anyway it would be nice to play around with this idea, not necessarily as a long-term solution, but to allow us to do some of these experiments to understand the conditions under which exclusion does or does not occur in the model.
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