They are the raw data and code for my research project, Kyoto Urban Biodiversity, which focus on the plant diversity in the built-up area of Kyoto city. The manuscript A dispersed vegetative cover contributes to urban biodiversity: plant diversity across land use types and scale in an Asian city is published on the Journal of Forestry Research.
Plot_info.csv gives the land use information of the quadrats.
Plot_ID: the id of the quadrat.
Land_use_type: land use type of the quadrat.
Plant_data.csv gives the information of each plant investigated.
Plot_ID: the id of the quadrat.
Plant_ID: the id of the plant which is unique in a quadrat.
Tree_shrub: whether the plant is of canopy layer (> 2 meters, denoted as "tree") or understory canopy (< 2 meters, denoted as "shrub").
Speciest_LT: scientific name of the species according to the Plant List database.
Stem: individual of the plant. As you can imagine, it is denoted as "1" for a canopy plant and "0" for a understory plant.
Area: area of a understory plant (thus it is "0" for a canopy plant).
Pla_spo: whether the plant is planted (denoted as "planted") or spontaneous ("spontaneous").
Pot: whether the plant is planted in a pot ("pot" or "non-pot").
Pub_pri: the owner right of the plant ("public" or "private").
Street: whether the plant is a street tree or not ("street" or "non_street").
Plant_info.csv gives the information of all the species recorded.
Speciest_LT: scientific name of the species according to the Plant List database.
Nt_ex: the provenance of the species, either "exotic" or "native". the creterion for the identification see the methodology section of the research article.
Genus: genus of the species according to the Plant List database.
Family: family of the species according to the Plant List database.
Data_analysis.R is the main code for data analysis for the research. Figure.R is used to export the figures for the research article, which should be run after Data_analysis.R.
If anyone is interested in urban biodiversity research, please do not hesitate to contact me or star the repo.
Besides, as a future hobo researcher (since I am looking for a job now) it would be funny to say that I am currently working on several projects without being paid, but I am serious. I also evaluated the ecosystem services of Kyoto city (see my repo named KES). Now I am working on the link between urban biodiversity and ecosystem services.