Table 1.
Ecological and socioeconomic processes approximated by a series of variables that are linked with urban species richness in Mexican cities.
Fig 1.
Species-area relationships (SAR) for terrestrial vertebrates urban/rural assemblages across Mexican municipalities (excluding those with less than five species).
Fitted lines correspond to a log-log transformation model (i.e., power model; see Triantis et al. [44]).
Table 2.
Parameters from species-area relationship (SAR) model explaining urban species richness for four taxonomic groups across Mexican municipalities (excluding those with less than five species).
Fig 2.
Effect sizes of socioeconomic and environmental variables driving urban species richness across Mexican municipalities (excluding those with less than five species).
Effect sizes were estimated by using Random Forest models with a cross-validation strategy with 100 random partitions. Panel a) includes urban area and Panel b) includes species richness but controlling for urban area effects. See main text and Table 1 for a full description of variables.
Fig 3.
Projected shifts in temperature, urbanization, and current urban heat island (UHI) effects across 389 Mexican municipalities for two emission scenarios (RCP 2.6 and RCP 8.5) and two land-use change scenarios (Business as usual and worst/pessimistic).
The urban heat island effect was estimated based on the total population (see main text for details). The red dashed lines represent the third quartile value for shifts in temperature and urbanization.
Fig 4.
Scatter-plot of multivariate risks and residual species richness across 389 Mexican municipalities grouped in eight clusters under two land-use change scenarios (business-as-usual and worst/pessimistic) and two greenhouse gases emission scenarios (RCP 2.6 and 8.5) for a time horizon centered in 2070: a) BAU and RCP 2.6; b) BAU and RCP 8.5; c) WRT and RCP 2.6; d) WRT and RCP 8.5.