Urban forest biodiversity and cardiovascular disease: Potential health benefits from California’s street trees

Supporting information S1 Fig. Urban forest diversity and tree per hundred thousand people. Data for 857 Califor- nia zip codes in Heart Disease sample from consortium of private tree maintenance compa- nies. (TIF) S2 Fig. Urban forest diversity, socioeconomic characteristics, and pollution burden. Data for 551 California zip codes in Heart Disease sample matched with income data from the American Community Survey and pollution burden data from the CalEnviroScreen 3.0. Shannon Index calculated from tree data from consortium of private tree maintenance compa- nies. (TIF) S3 Fig. Urban forest diversity and confirmed Lyme disease by CA county. Data for 22 Cali- fornia counties with forest biodiversity data. Lyme disease incidence calculated for period 2009–2018 by California Department of Public Health. Shannon Index calculated from tree data from consortium of private tree maintenance companies. (TIF) S1 Table. Summary statistics for sociodemographics and pollution burden. Data for 551 California zip codes in Heart Disease sample matched with socioeconomic data from 2010 Census, 2012–2016 American Community Survey, 2000 Decennial Census, and Longitudinal Employer-Household Dynamics (LEHD), and CalEnviroScreen 3.0. (DOCX) S2 Table. Spatial auto-regression model for each year. Estimates from a linear regression with spatially correlated error terms estimated using the spregress command (McMillan et al. 2008). Each column corresponds to a year of data. Coefficients reported are for the total

effect of the Shannon index on mortality. Panel A is Heart Disease mortality and panel B is Stroke mortality. Estimates from 2018 also reported in main text. ��� p<0.001, �� p<0.01, � p<0.05. (DOCX) S3 Table. Subsample analysis by two-digit zip-code. Estimates from linear regression where the outcome variable is mortality rate per zip code-year, measured in deaths per 100,000 indi- viduals. Column one repeats the main estimate. Columns two through seven are spatial sub- samples for each two-digit zip code area, from 90 to 95. Regressions include year and 3-digit zip-code fixed effects, standard errors are clustered by 3-digit zip-code and reported in paren- theses ��� p<0.001, �� p<0.01, � p<0.05. (DOCX) S1 File. (CSV) S2 File. (CSV) S3 File. (CSV) S1 Data. (DOCX) PLOS ONE Biodiversity and cardiovascular disease PLOS ONE | https://doi.org/10.1371/journal.pone.0254973 November 3, 2021 18 / 23