| Literature DB >> 30236094 |
Carlo Polidori1, Marcella Nucifora2, David Sánchez-Fernández3.
Abstract
BACKGROUND: Predicting the patterns of range expansion of alien species is central to develop effective strategies for managing potential biological invasions. Here, we present a study on the potential distribution of the American cavity-nesting, Orthoptera-hunting and solitary wasp, Isodontia mexicana (Hymenoptera: Sphecidae), which was first detected as alien species in France in 1960 and now is present in many European countries. After having updated its current distribution, we estimated the environmental space (based on bioclimatic data and altitude) occupied by the species and subsequently predicted its environmental potential distribution under both present and future climatic conditions at global scale.Entities:
Keywords: BIOCLIM; Biological invasion; Isodontia mexicana; Niche unfilling; Sphecidae; Wood trade
Mesh:
Year: 2018 PMID: 30236094 PMCID: PMC6148766 DOI: 10.1186/s12898-018-0193-9
Source DB: PubMed Journal: BMC Ecol ISSN: 1472-6785 Impact factor: 2.964
The 20 environmental (climate and altitude) variables retrieved from Worldclim and used in the study to build the environmental niche of I. mexicana
| Worldclim code | Definition | Factor 1 | Factor 2 | Factor 3 |
|---|---|---|---|---|
| BIO1 | Annual mean temperature | 0.935 | 0.325 | − 0.102 |
| BIO2 | Mean diurnal range [mean of monthly (max temp − min temp)] | 0.327 | 0.724 | 0.093 |
| BIO3 | Isothermality (BIO2/BIO7) (* 100) | 0.911 | 0.047 | 0.132 |
| BIO4 | Temperature seasonality (standard deviation * 100) | − 0.900 | 0.019 | − 0.138 |
| BIO5 | Max temperature of warmest month | 0.734 | 0.561 | − 0.249 |
| BIO6 | Min temperature of coldest month |
| 0.161 | − 0.054 |
| BIO7 | Temperature annual range (BIO5–BIO6) | − 0.843 | 0.187 | − 0.108 |
| BIO8 | Mean temperature of wettest quarter | 0.732 | 0.399 | − 0.151 |
| BIO9 | Mean temperature of driest quarter | 0.893 | 0.248 | − 0.093 |
| BIO10 | Mean temperature of warmest quarter | 0.797 | 0.490 | − 0.251 |
| BIO11 | Mean temperature of coldest quarter | 0.959 | 0.217 | − 0.028 |
| BIO12 | Annual precipitation | 0.669 | − 0.699 | 0.096 |
| BIO13 | Precipitation of wettest month | 0.701 | − 0.464 | 0.326 |
| BIO14 | Precipitation of driest month | 0.300 | − 0.805 | − 0.290 |
| BIO15 | Precipitation seasonality (coefficient of variation) | 0.257 | 0.606 | 0.505 |
| BIO16 | Precipitation of wettest quarter | 0.700 | − 0.501 | 0.307 |
| BIO17 | Precipitation of driest quarter | 0.334 |
| − 0.277 |
| BIO18 | Precipitation of warmest quarter | 0.469 | − 0.598 | 0.214 |
| BIO19 | Precipitation of coldest quarter | 0.487 | − 0.630 | − 0.133 |
| ALTITUDE | – | − 0.146 | − 0.009 |
|
The R2 of the correlations between the 20 variables and first three factors of the PCA obtained from these variables are shown (values in italic represent the variables most likely to explain the PCA factors)
Fig. 1Actual distribution of I. mexicana, based on published and unpublished records (see Additional file 1). Occurrence records are in blue for the native areas and in red for the invaded areas
Fig. 2A Representation of the occupied environmental niche with plots showing the relationships among the variables that more strongly correlated with the three first principal factors obtained from a PCA built on 19 climate variables retrieved from Worldclim and altitude (Table 1). a Precipitation of Driest Quarter vs. Minimum Temperature of Coldest Month; b Precipitation of Driest Quarter vs. Altitude; c Minimum Temperature of Coldest Month vs. Altitude. Points in grey represent the global environmental conditions, blue points represent the occurrence records for the native areas, and red (empty) circles represents the occurrence records for the invaded areas. Temperature is in °C, precipitation is in mm, and altitude is in m
Fig. 3a Potential distribution of I. mexicana, based on the multidimensional envelope procedure (MDE), using data from the native range (in blue) and data from the invaded range (in red) (red grid points were made sufficiently transparent to highlight areas of overlap with blue grid points); b potential distribution of I. mexicana highlighting the degree if suitability (calculated through Mahalanobis distance method) for the species survival (increasing from green to red)
Fig. 4Estimate of the potential dynamics of invasion risk areas through time (i.e., combining current and future model outputs), based on the projections of the extreme values of Minimum Temperature of the Coldest Month and Precipitation of Driest Quarter (IPPC5 climate projections using the CCSM4 global climate model). Violet grid points: potential distribution under current conditions; Green grid points: potential distribution under future conditions. Green grid points were made sufficiently transparent to highlight areas of overlap with violet grid points. a Projection for 2050 under the RCP 8.5 concentration pathway; b projection for 2070 and RCP 8.5 concentration pathway