Closed teixeirak closed 4 years ago
GAMM:
June- July precip response - makes sense - positive response in both climwin and latest GAMM, consistent with Helcoski.
May-July cloud response - makes sense - positive response in both climwin and latest GAMM (for most species), consistent with Helcoski.
May-Aug PET response - probably makes sense -decline at high PET in both climwin and latest GAMM (for most species), consistent with Helcoski.
bottom line-- I think the SCBI responses all make sense.
latest GAMM:
July-Aug PET response - similar in climwin and latest GAMM. This is wet season, but should be the hottest month, so possibly temperature stress?
May WET response - May is beginning of wet season, so potentially makes sense.
With both, the climate variable distributions look pretty unusual. We should check the CRU data (I'll open a new issue.)
latest GAMM results (we think we have the structure right, no DBH for now): vertical bars show mean +/- 1 SD for climate variable.
response to previous June moisture- not sure if this makes sense - It's a unimodal response in climwin and for most abundant species (QURU) in latest GAMM. I'm surprised that this comes out. It's also strange how there's not a patch of time windows with similar responses surrounding it, as tends to be the case at other sites.*
March to April cloud response - hmmm.... - that would be late spring, maybe affecting spring phenology?? QURU dominates numerically and matches climwin, TSCA apparently likes cloudy springs?? Again, it's also strange how there's not a patch of time windows with similar responses surrounding it, as tends to be the case at other sites.
March T_max response - hmmm.... - that would be late spring, maybe affecting spring phenology?? QURU dominates numerically and matches climwin, TSCA likes warm March (believable). Again, it's also strange how there's not a patch of time windows with similar responses surrounding it, as tends to be the case at other sites.
bottom line--I don't see any major problems/ inconsistencies, but the relationships/ variables identified surprise me. I'd like to get input from Neil and @crollinson as to whether these make sense.
from Neil, regarding Harvard Forest:
I’ll briefly say that the HF is the most confounding forest in terms of climatic response that I’ve sampled, except for maybe the white oak sitting on thin soils on the top of a low mtn in western North Carolina - no drought signal!
The climate signal at the HF, via traditional tree ring measures, it paltry at best and seems to be going away. During my dissertation, the most recent climate data we could get ended in 1994. The climate signal in red maple at that time was moisture early in the growing season and then a bit of a positive temperature signal during the depths of winter. When we updated the collection in 2014 and did the analysis up to 2012 or so, most of that signal was gone. Compared to the 19 other red oak collections I have around NYS and central and western New England, the HF red oak are the least sensitive to climate. I had an excellent REU who did some experimental climate response analysis. HARDLY any signal in a few species. Something weird here I’ve not put my hands on yet.
latest GAMM:
June precip - makes sense, matches GAMM
June PET - makes sense, matches GAMM
bottom line- These results make perfect sense, matching the GAMM and Justin's paper.
@ValentineHerr , my conclusion is that this seems to make sense overall and be working as we want. I still want to hear what some of our dendro collaborators have to say about it, but I think we can move forward on the assumption that we've got it about right.
@biancaglez, reading through my posts above would be a good way for you to get an overview of what we're finding so far.
I should note, though, that Scotty Creek is the site where I'm most concerned about climate variable selection (see issue #25).
Next round of review: issue #38.
Goal- review the results here to ensure that everything looks reasonable. Also, compare with GAMM output.