Trees offer an abundance of gifts. Both wild and tended trees provide food, fuel, fiber, animal feed, medicines, and a range of co-benefits, including clean water and wellness. Much more has been said on this, and there is more to say. For now, I zoom in.
How can we reconnect with trees for basic needs? One way I’m drawn to is that of a sprouting organization called the Keystone Tree Crop Cooperative (KTCC). KTCC aims to gather food from existing nut trees and enable broader audiences to connect with these gifts from trees.
To catalyze the harvest of existing nut trees, gatherers will benefit from incentives (such as compensation for nuts), education on methods (including food quality standards and comfortable tools), and guidance on gathering locations (as in maps). This post is about the latter: mapping existing nut trees and identifying hotspots to efficiently harvest from, with an eye for the coming autumn 2021.
iNaturalist was homed in on as a pretty good platform for nut tree info. There are observations and observers already on iNaturalist. This site also has experts maintaining a cross-platform database of trees, which is useful to build on. While iNaturalist has some limitations discussed below, it is a good starting point – let’s take a look!
Here is a response I want to share from a question about how tree crop enthusiasts are keeping track of plantings and related info:
Metal tree tags on locust stakes are low-tech and work reliably. For a more advanced, digital approach, I use QGIS. It offers the benefits described in a comment above about ArcMap, but it is free and open-source software. It has a little bit of a learning curve, but it is a very powerful tool and it can interface with other geospatial technology including GPS, Google Earth, and iNaturalist. If you try this route, I recommend focusing on the following steps to begin with.
Find and download raster files (.jpg, .tif) for overhead views of your Area of Interest (AOI). These files are referred to as aerial imagery or orthoimagery, and in the U.S. you can get them from county GIS websites or from https://nationalmap.gov.
Follow a basic tutorial about raster vs. vector file types, and creating shapefiles.
Create a polygon shapefile for your AOI boundary- Create a point shapefile for your individual plants.
Add new attribute fields to your ‘plant points’ shapefile to describe characteristics you want to keep track of. Here’s some fields I use (+ examples/explanation):
species (corylus spp.),
planted_date (fall 2019),
permanent (y/n in case it is to be transplanted),
measured (y/n to indicate if its location is precise or estimated),
source (to keep track of cultivars, purchases, etc),
updated (date for when this entry was last updated, since inevitably the records can get out of date; update this every time you update any other field for this data row)
notes (misc info that doesn’t fit cleanly in other fields, try to use this sparingly as it is better to have distinct fields in case later on you want to select or analyze plants based on some attribute)
At this stage, you will have a powerful, interactive map of your AOI, with individual points or polygons to depict features of interest on your property, and those features can have a miniature (or massive) database of characteristics associated with them. You can have as many or as few fields as you’d like, and you can even associate fields (e.g. feature_ID) with other datasets, such as yield records or amendment history for an orchard block.
A basic tutorial about Coordinate Reference Systems (CRS) and about Georeferencing would be helpful to get ahead of GIS software’s more confusing aspects. Using an appropriate and consistent CRS is especially important for making accurate spatial measurements. You can also go to https://gis.stackexchange.com with questions.