Open zenrabbit opened 9 months ago
line 284
anova_result <- aov(mean_pendant_temp ~ factor, data = pendant_temp) ### Temp is significant.
just add site in, what is factor?
line 331 onwards are main models
see above
yes, check distribution and then check overdispersion of models too https://easystats.github.io/performance/reference/check_overdispersion.html#:~:text=If%20the%20dispersion%20ratio%20is,05%20indicates%20overdispersion.
any differences in animals in any measures?
get the 2023 temp and precipitation and test JUST the same year you used handheld and loggers
test if annual NDVI matters for the year you sampled, ie 2023, (https://ourcodingclub.github.io/tutorials/spatial/#:~:text=In%20R%20%2C%20we%20can%20calculate,earlier%20from%20the%20original%20file.&text=Now%20we%20are%20ready%20to,been%20working%20with%20so%20far!)
@MarioZuliani pitch your results here simply and see if Nargol will review to ensure smooth flow. map boxplots species frees
then rest in supplement
and covariates simply stated after main findings
mimic benefit decreases with increasing local shrub densities? mimics cooled
@nargol about air temp vs ground? I assume air temp better for animal studies? are both temp measures correlated?
OK checking out now.
Map options generated at end of Html. Agree with figure layout (all will be combined into one figure). Here is a simplified findings. Let me know what you think. We have a TON of findings to report.
Findings simplified: Microsite Abundance significantly affected by Microsite (Mimic > Open, Shrub > Open, Mimic = Shrub) Richness significantly affecter by microsite (Mimic > Open) Evenness Not significantly affected by microsite.
Ambient Temp Abundance not significant. Richness microsite*temp significant with increasing temp(mimic > open, mimic > shrub) Evenness not significant.
Ground Temp Abundance microsite*ground_temp significant with increasing temp(Mimic > Open, Mimic > Shrub, Open > Shrub) Richness not significant. Evenness Not significant.
Shrub Density Abundance significantly negative impact by density but not microstiedensity Richness significantly negative impact by density but not microstiedensity Evenness not significant.
Community Composition Community composition did not significantly vary across microsites but DID across shrub densities.
recommend this color palette + scale_fill_brewer(palette = "Paired")
Hi Team,
I agree with Chris, run temperature models and test which sites and mimics differed using emmeans (which I think you already have for microsites but not sites maybe). Last thing is RII, but I would say submit without and then when the reviews come back you might have to do it. How did you compare ground temperature and richness and abundance, weren't they handhelds? I think you don't have enough reps to be able to compare them accurately. You can compare ground vs ambient temp however and just use ambient (Near-surface air temperature) in models instead.
Near-Surface Air Temperatures are the best. MANY papers @nargolg1 if you have a good citation for Mario, can you pls provide? I cannot find mine. I had a good one.
got it, Foundation plant species provide resilience and microclimatic heterogeneity in drylands
https://www.nature.com/articles/s41598-022-22579-1
citation #35 in paper, plus cite the paper too Terando, A., Youngsteadt, E., Meineke, E. & Prado, S. Accurate near surface air temperature measurements are necessary to gauge large-scale ecological responses to global climate change. Ecol. Evol. 8, 5233–5234. https://doi.org/10.1002/ece3.3972 (2018).
Main models
y = n_animals, n_species, evenness
models
m = glm(y ~ microsite * site + temp, family = quasipoisson or gaussian, data = data)
Secondary models (to test if mimics changed temp for instance)
m = glm(temp ~ microsite * site, .....)?