Exploring the diversity of species, genera and family in street tree inventories within — and across — eight cities internationally.
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#Diversitree by MIT Senseable City Lab
Diversitree is an interactive web-based visualization tool, research paper (published in Urban Forestry and Urban Greening) and open-source project repository (GitHub) exploring the diversity of species, genera and family in street tree inventories within — and across — eight cities internationally.
We measure street tree networks against the long-standing “10/20/30 rule”, which suggests an urban forest should be no more than 10% of one species, 20% of one genus, and 30% of one family. We also use diversity indices — the Shannon Index and Simpson Index — to account for the abundance and evenness of the species present in the city. These two measures provide a snapshot view of how dominant any single species, genus, or family is within a city, and a glimpse into the diversity of the street tree network as a whole.
Of course, how species adapt to local conditions is more important than diversity in and of itself. Street tree diversity should always seek to fulfill a range of community forest objectives, rather than adherence to numerical standards alone. Those numerical standards, however, can show us places where street tree diversity has room to grow.
MIT Senseable City Lab
Ideation, Concept Development, Researcher