Table 1.
Distribution of species and matrix population model data.
Table 2.
Summary of species in the COMPADRE and COMADRE matrix databases.
Fig 1.
Relationship between endangered status and the most important predictors for herbaceous perennials.
The most important predictors of endangered status for 39 herbaceous perennial species are mean age at maturation (left panel) and mean juvenile survival rate (right panel). Trendlines are based on a linear regression of the raw data points and show mean age at maturation decreases with risk, while mean juvenile survival increases with extinction risk. IUCN Red List category (1: Least Concern, 2: Near threatened, 3: Vulnerable, 4: Endangered, 5: Critically Endangered) is used as a proxy of extinction risk.
Fig 2.
Relationship between endangered status and the most important predictors for birds.
The most important predictor of endangered status for 31 bird species is the interaction between reproduction and progressive growth. The size of the circles indicates IUCN Red List category (1: Least Concern, 2: Near threatened, 3: Vulnerable, 4: Endangered, 5: Critically Endangered). Species with high reproduction and growth rates are more likely to have an increased risk (IUCN category).
Fig 3.
Relationship between endangered status and the most important predictor for mammals.
Mean generation time is the most important predictor of endangered status for 43 mammal species and is positively correlated to IUCN Red List categories. See Fig 1 for descriptions of trend lines and IUCN categories.
Fig 4.
Spatial distribution of species in the COMPADRE and COMADRE matrix databases.
Species with and without IUCN status assessment and relative to known biodiversity hotspots. Some species in the databases do not have data on geographic location and therefore were not included in the figure: 28 mammal species (29% without IUCN assessment), 24 bird species (13% without IUCN assessment), 29 tree species (17% without IUCN assessment), and 111 herb species (79% without IUCN assessment).
Table 3.
Percentages of species per taxa with location within biodiversity hotspots.