| Literature DB >> 31964998 |
Miguel A Farfán1, Julia E Fa2, Adrián Martín-Taboada3, José María García-Carrasco3, Jesús Duarte4.
Abstract
Linear infrastructure intrusions into natural ecosystems, such as motorways and high-speed railways, causes direct loss of habitat but also impacts fauna through collisions. Wildlife road mortality is well documented and extensive conservation legislation exists in many countries to minimise the negative impact of these infrastructures. However, although these measures are implemented because of legislation, these structures are often not adequately maintained. Here we present data on the functionality of perimeter fences along two motorways in Malaga province (southern Spain) erected to prevent collisions with the common chameleon (Chamaeleo chamaeleon). We sampled the fences along the 14 km of the two motorways included in the 17 1 × 1 km squares of the study area. Our results show that the reptile fence is permeable throughout at those points where the metal sheeting was absent and where the vegetation had overgrown around the fence, hence allowing chameleons to cross. Given our results, we conclude that this situation is likely to be similar in other regions of Spain and in other countries. This is because construction/concessionary companies do not consider the environmental impact of construction projects in the medium and long term, and environmental authorities do not ensure that companies comply with the legislation.Entities:
Mesh:
Year: 2020 PMID: 31964998 PMCID: PMC6972765 DOI: 10.1038/s41598-020-57767-4
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1(A) Iberian Peninsula with common chameleon distribution in 10 × 10 km green squares (taken from http://siare.herpetologica.es/bdh/distribucion). (B) Delimitation of Malaga province (black line) with common chameleon distribution in 10 × 10 km yellow squares, and the study area in 1 × 1 km red squares. (C) Study area in 1 × 1 km red squares. Created with ArcGIS 10.6 (source: Esri, DigitalGlobe, GeoEye, Earthstar, Geographics, CNES/Airbus, DS, USDO, USGS, AeroGRID, IGN, and the GIS User Community). The numbers of each square correspond to the numbers in the “Square” field of Table 1.
Types of anomalies detected in the 1 × 1 km squares of the study area.
| Square | Metal sheet | Vegetation | Both |
|---|---|---|---|
| 1 | 1 | 1 | 1 |
| 2 | 1 | 1 | 1 |
| 3 | 1 | 1 | 1 |
| 4 | 1 | 1 | 1 |
| 5 | 1 | 1 | 1 |
| 6 | 1 | 1 | 1 |
| 7 | 1 | 1 | 1 |
| 8 | 1 | 1 | 1 |
| 9 | 1 | 1 | 1 |
| 10 | 1 | 0 | 0 |
| 11 | 1 | 1 | 1 |
| 12 | 1 | 1 | 1 |
| 13 | 1 | 1 | 1 |
| 14 | 1 | 1 | 1 |
| 15 | 1 | 1 | 1 |
| 16 | 1 | 1 | 1 |
| 17 | 0 | 1 | 0 |
| N | |||
| % |
Total squares of the study area = 17 (see Fig. 1). 0: reptile fence without anomaly; 1: reptile fence with anomaly.
Figure 2Top image: reptile fence. Left image: chain link fence without metal sheet. Right image: reptile fence with vegetation around it.