BLDG BLOG delves into the beauty of how plant life can reflect what is buried in the earth below, and could even be used to find the location of hidden treasure:
I absolutely love stories like this, and I swoon a little bit when I read them; it turns out that “plants growing over old sites of human habitation have a different chemistry from their neighbors, and these differences can reveal the location of buried ruins.”
The brief article goes on to tell the story of two archaeologists, who, in collecting plants in Greenland, made the chemical discovery: “Some of their samples were unusually rich in nitrogen-15, and subsequent digs revealed that these plants had been growing above long-abandoned Norse farmsteads.”
The idea that your garden could be more like an indicator landscape for lost archaeological sites—that, below the flowers, informing their very chemistry, perhaps even subtly altering their shapes and colors, are the traces of abandoned architecture—is absolutely unbelievable.
So why not develop a new type of flower in some gene lab somewhere, a designed species that reacts spectacularly to the elevated presence of nitrogen-15 from ruined settlements? Ruin Flowers® by Monsanto acting as deserted medieval village detection-landscapes, as thale cress does for mines.
You plant these flowers or trees or vineyards—future archaeological wine—and you wait three seasons for the traces to develop. Now imagine a modified tree that can only grow directly above ruined houses. Imagine an entire forest of these trees, curling and knurled to form floorplans, shaping out streets and alleyways, rooms instead of orchards and halls instead of groves. Now imagine the city beneath that forest becoming visible as the woods slowly spread, articulating whole lost neighborhoods over time.
Genetically-modified plantlife used as non-invasive archaeological research tools would, at the very least, add a strange practicality to summer gardening activities, in the process turning whole surface landscapes into an unexpected new kind of data visualization program.