Granaries, Acorns, and the Science of Getting it Right




Today was a fruitful day for all of us in Section B! Crystal, Stephanie, & Mia headed out into the field early to collect more data while the rest of us met in the Briggs Hall classroom, where Marlee – our fabulous MC for the day – led us through a group discussion. Here’s a detailed breakdown of our meeting minutes:


Meeting Minutes

Time

Activity

Notes

Before class

Crystal’s crew left


12:10 PM

Everyone else met in Briggs Hall classroom


12:15 PM

Satellite assessment team shared progress

  • using QGIS software

  • clear difference in vegetation/greenery at our field sites from 2020-2022

  • tagged granary coordinates on map

12:20 PM

Data collection teams shared findings from this week

  • 5 new granaries found at Quail Ridge

  • granary trees seem to be together in clusters

12:30 PM

Collaborative discussion: Evaluating data categories & Brainstorming hypotheses

  • *see below!

1:30 PM

Protocol Refinement


1:55 PM

Wrap-up – Work distribution

  • Josh, Amy, & I are updating the project protocol to reflect changes made

2 PM

Crystal’s crew returned



Some of our granary trees via satellite imagery



*Discussion: It became clear we needed to tweak our methods after some issues arose with how data was collected on Wednesday. There were inconsistencies with the measuring of strata (0.5, 1, and 1.5 meters), placement of the PVC square for the neighborhood assessment, and acorn-related descriptions. Additionally, there was uncertainty with the acorn survey because some granary trees lacked holes and/or acorns in the lower strata of the tree. All of this pointed to the need to revisit our methods, get everyone on the same page, and make the whole process more efficient.

Why are Methods so Important?

methodology: "a body of methods, rules, and postulates employed by a discipline; a particular procedure or set of procedures" (Merriam-Webster)

Precise methodology is at the heart of "good" science – it allows researchers to move through the scientific method with clarity and consistency. Each step builds on the one before: observations lead to questions, which lead to hypotheses, which guide experiments, and so on...

Without clearly defined, repeatable methods, the whole process falls apart. Experiments become unreliable, results hard to interpret, and conclusions less trustworthy. Careful attention to methodology is necessary to ensure every step is adequately fulfilled.

Scientific Method visualized as a cycle

So... what changes did we implement?
- We removed one of the strata in our tree stratification system, so now only 2 height categories (0.5-1m, 1-1.5m) 
- We will now be collecting acorns and bringing them back to lab for analysis 
- Acorn presence & acorn occupancy categories merged into "Acorn status" 
- We will now be using the 1st hole selected (using the finger-to-nose method), rather than the 5th one 
- We will be centering the PVC square when using it for neighborhood assessment 


With our current data and potential hypotheses in mind, the above are adjustments we collectively determined. Some promising hypotheses include the relationship between hole diameter and acorn status, bark thickness and acorn retention, or hole orientation (N, S, E, W) and acorn status. The data we're collecting has shaped up to be more time-consuming than we anticipated, but each and every factor has the potential to shed light on various aspects of acorn woodpecker granary behaviors, preferences, community structures, and more. No matter how complex the dataset, strong methods can keep everything manageable and meaningful.