Supporting data for the article ‘Three-years monitoring of roadkills trends in a road adjacent to a national park in Panama’

Roadkill monitoring can provide important information about spatial and
temporal trends, including influential factors on the probability of
wildlife – collisions. Such data are important for applying mitigation
measures that reduce the mortality of species of conservation concern.
Unfortunately, road ecology is not a mainstream discipline in some regions
of the world and Central America represents one of those cases. I aimed to
monitor roadkills in a road next to a national Park in Panama for three
years. I examined whether there was variation in the number of roadkills
across taxa (birds, mammals and reptiles), year (2017 – 2020), season (dry
vs rainy) and whether monthly average precipitation and temperature
influenced the probability of roadkill occurrence. Additionally, I
performed a spatial analysis to identify roadkill hotspots. Mammals and
reptiles were the most common roadkills. Roadkills tended to decrease with
increases in temperature and precipitation. A separate analysis of the two
most commons roadkills (iguanas and tamanduas) provided similar trends.
The spatial analysis helped to identify a hotspot located in a curved
section of the road and surrounded by water. This is the first study to
examine for any road in Panama - through statistical modeling –
factors that may influence the occurrence of roadkill events. The
results suggest that vehicle collisions exert a similar pressure
on all taxa and the geometry of the road or distance to the water are also
influential.  These data sets include monthly roadkill
counts with average monthly precipitation and temperature during
the dry and rainy season, over a period of three
years (ALL.DATA). Two separate data sets (IGUANAS and
TAMANDUAS) contain data as described for the tab ALL.DATA but
only with data for green iguanas (Iguana iguana) and Northern Tamandua
(Tamandua mexicana), respectively. For the spatial analysis, the data set
COORDINATES show the location of each roadkill event, identified
by latitude and longitude, date, taxa, IUCN status, scientific
name and common name.