> To answer this, we used a combination of approaches. First, we conducted a global meta-analysis of studies in which researchers measured the length of fungal hyphae in local soils using microscopes. This length of hyphae per unit of soil is known as “hyphal density”, and it provides a way to quantify how much fungal network is present in a given amount of soil. We assembled data from 322 studies, representing more than 16,000 individual soil cores collected across 9 global biomes. This gave us one of the most comprehensive datasets of arbuscular mycorrhizal fungal hyphal density compiled to date, spanning ecosystems from forests and grasslands, to drylands and farms.
> We then used these observations to train a machine learning model. The model was built using dozens of geospatial environmental layers, including climate, vegetation, soils, and land use. By learning how measured hyphal density varied across these environmental conditions, the model allowed us to predict the density of AM fungal networks across Earth’s terrestrial ecosystems at a fine spatial resolution of approximately 1 km². We also used spatial uncertainty analyses, including bootstrapping, to understand where predictions were more or less certain.
This is absolutely mindblowing work! One of the best things I've ever seen on the internet. I only wish it was granular enough to help identify mother trees[0] in individual forests
Very cool. "The resulting map is strongest in well-sampled regions, less certain where samples are sparse. Read more about mapping uncertainty here." I can't access the paper to see what countries were actually sampled. The interactive map implies/shows that large areas weren't sampled (e.g. nowhere in the British Isles). It would be helpful if the map showed the uncertainty of the resulting map, on the map somehow.
Seeing California's central valley in the bottom 3% is honestly depressing. What should have one of the world's most fascinating soil ecology has been degraded by over a century of intensive agriculture and practices that are downright hostile to any living soil
Isn't it more in line with what would be the natural climate's non-irrigated state? Low density in deserts everywhere else, and super high in eg. Eastern Kansas which is far from untouched by industrial agriculture.
> To answer this, we used a combination of approaches. First, we conducted a global meta-analysis of studies in which researchers measured the length of fungal hyphae in local soils using microscopes. This length of hyphae per unit of soil is known as “hyphal density”, and it provides a way to quantify how much fungal network is present in a given amount of soil. We assembled data from 322 studies, representing more than 16,000 individual soil cores collected across 9 global biomes. This gave us one of the most comprehensive datasets of arbuscular mycorrhizal fungal hyphal density compiled to date, spanning ecosystems from forests and grasslands, to drylands and farms.
> We then used these observations to train a machine learning model. The model was built using dozens of geospatial environmental layers, including climate, vegetation, soils, and land use. By learning how measured hyphal density varied across these environmental conditions, the model allowed us to predict the density of AM fungal networks across Earth’s terrestrial ecosystems at a fine spatial resolution of approximately 1 km². We also used spatial uncertainty analyses, including bootstrapping, to understand where predictions were more or less certain.
This is absolutely mindblowing work! One of the best things I've ever seen on the internet. I only wish it was granular enough to help identify mother trees[0] in individual forests
[0] https://www.scientificamerican.com/article/mother-trees-are-...
Very cool. "The resulting map is strongest in well-sampled regions, less certain where samples are sparse. Read more about mapping uncertainty here." I can't access the paper to see what countries were actually sampled. The interactive map implies/shows that large areas weren't sampled (e.g. nowhere in the British Isles). It would be helpful if the map showed the uncertainty of the resulting map, on the map somehow.
A map without borders.
Imagine that.
Seeing California's central valley in the bottom 3% is honestly depressing. What should have one of the world's most fascinating soil ecology has been degraded by over a century of intensive agriculture and practices that are downright hostile to any living soil
Isn't it more in line with what would be the natural climate's non-irrigated state? Low density in deserts everywhere else, and super high in eg. Eastern Kansas which is far from untouched by industrial agriculture.
Proud to see that my home state of Florida is absolutely lit up with root fungus.