Closed teixeirak closed 4 years ago
NEW ROUND OF FEEDBACK:
General
Introduction: This is pretty much on track.
Methods: Again, pretty much on track. Once we're confident we're using the final data version,
Other:
n plots
to n geographic areas
. This is more meaningful.*Data from the temperate regions was heavily skewed towards studies from the old-growth forests of the Pacific Northwest.*
Is this really true in general? I know it was particularly bad for ANPP_woody, which we now exclude.Results: Again, pretty much on track.
*Does climate explain the same proportion of variation in different components of primary productivity?*
, I'm still not sure what to do with this. It seems (is) a bit out of place. I forget our discussion-- were we going to remove that table?Discussion: good start, but I think the organization/ paragraph structure still needs some work. I'd like to take a pass at it, but can't do so right now.
@teixeirak
In variables table, change n plots to n geographic areas
What are you defining as "geographic area"?
In addition, when we create the DOI + release, will that refer to ForC or ForC simplified? The number of records/plots in each is different, so which one we use will influence the ForC summary stats I present at the beginning of the methods section.
regarding the section Does climate explain the same proportion of variation in different components of primary productivity? , I'm still not sure what to do with this. It seems (is) a bit out of place. I forget our discussion-- were we going to remove that table?
I think it would be best to remove the table and potentially include it in SI, where we could include R2 values/p-values for the full range of relevant climate variables/growing season length/models including interaction effects
related to the above, perhaps have a section at the very beginning, under latitude, or at the end of results about relationships and differences among fluxes that includes summing of component fluxes (? - best at beginning), lack of major trends in allocation, and R2s
This fits pretty well I think
[ ] Create SI table detailing climate variables used/sources etc
[ ] Create SI table summarising R2 values across fluxes for different climate variables
@beckybanbury
What are you defining as "geographic area"?
geographic.area
variable in SITES
In addition, when we create the DOI + release, will that refer to ForC or ForC simplified? The number of records/plots in each is different, so which one we use will influence the ForC summary stats I present at the beginning of the methods section.
I always give stats for ForC itself.
I think it would be best to remove the table and potentially include it in SI, where we could include R2 values/p-values for the full range of relevant climate variables/growing season length/models including interaction effects
Agreed.
@beckybanbury, We have a new release! Here it is on Zenodo (with DOI): https://zenodo.org/record/3403855#.XXeiaVB7kl4.
We have a new release! Here it is on Zenodo (with DOI): https://zenodo.org/record/3403855#.XXeiaVB7kl4.
awesome, thankyou!
Refer to all fluxes considered as "forest autotrophic carbon fluxes" ? (R_root is not "productivity", but we can't say all major forest C fluxes because we exclude heterotrophic components)
Does this mean I shouldn't really be referring to "productivity" at all?
I think forest autotrophic C fluxes would (or use FACF as an acronymn) would be most appropriate for general use. Productivity obviously covers a lot of the variables and is appropriate at times.
Here's the start of some high-level comments (with things to change as check boxes):
Introduction:
Methods: