Fig 1.
Study area map showing distribution of invasive species occurrence records.
Data sources: (Administrative boundary layer: GADM database (www.gadm.org) under CC BY 4.0 license (https://gadm.org/license.html); Species presence data: GBIF.org (https://doi.org/10.15468/dl.v2peyj) and own roadside survey field work in Nyeri County under CC BY 4.0 license; Forest/tree cover layer: SERVIR GLOBAL data catalog [32] (https://servirglobal.net/Data-and-Maps) under CC BY 4.0 license.
Table 1.
Description of study species in terms of species scientific name and family and common name, life form, origin (adopted from Witt & Luke [25]) and the number of records used in ENM.
Table 2.
Retained noncollinear predictor variables and their relative importance.
Fig 2.
Bar graph plots of evaluation metric accuracies for the study species per ENM method and ensemble binary predictions.
Fig 3.
Species current potential ensemble probability suitability maps and respective median binary maps.
Suitable areas on the scale are represented by red colour (1) while unsuitable areas are represented by blue colour (0). The black outline denotes the Nyeri sub-county boundaries labelled as follows: i, Kieni; ii, Tetu; iii, Othaya; iv, Nyeri Town; v, Mathira; and vi, Mukurwe-ini Sub-counties and individual species as follows: (a), C. decapetala (Roth) Alston; (b), L. camara; (c), O. stricta (Haw.) Haw.; (d), S. didymobotrya; (e), S. campylacanthum. Data Source: (Administrative Boundary Layer: GADM database (www.gadm.org) under CC BY 4.0 license (https://gadm.org/license.html).
Fig 4.
Predicted potential habitat gain, loss and overall habitat changes obtained from the predicted outputs from an average of bioclimatic variables of all GCM data.
-2 represents habitat loss, -1 represents suitable and stable in future, 0 represents not suitable, 1 represents habitat gain. Species labels are as follows: (a) L. camara; (b) C. decapetala (Roth) Alston; (c) O. stricta; (d) S. didymobotrya; (e) S. campylacanthum Hochst. ex A. Rich.). Data Source: (Administrative Boundary Layer: GADM database (www.gadm.org) under CC BY 4.0 license (https://gadm.org/license.html).
Fig 5.
Predicted suitable areas under changing climate scenarios assuming no dispersal and full / unlimited dispersal of the species.