Explanation of variables in the file Specimens data_publish

1) Sheet Recapture (raw data)

Date – the date specimens were capture in pitfall traps

Specimen_id – an unique ID for each captured specimen

C/RE – C implies that the specimen was captured for the first time, RE
that it was recaptured

Female/Male – sex of specimens, M – male, F – female

Body length mm – body length in millimeters, measured from the front of
the head to the tip of the abdomen with a ruler, 1 mm accuracy

Tree ID – ID of trees specimens were found in

2) Sheet b_length + habitat + MC

specimen_ID an unique ID for each captured specimen

sex – female 1, male 0

length – body length of specimens in millimeters, measured from the
front of the head to the tip of the abdomen with a ruler, 1 mm accuracy

Tree_ID – ID of trees

POP – estimated population size in trees from mark-recapture data,
Craig's (1953) model: log n – log (n – r) = s×n⁻¹, in which n is the
population size, r is the number of captured individuals, and s is the
number of captures.

canopy – was estimated based on the percentage of the area of 2 m around
the cover of a focal tree that was covered by branches of other trees.
We divided the estimates into three categories: 1 (< 25%), 2 (25-75 %),
and 3 (> 75%).

d – diameter of trees, calculated from measured circumference, in cm

height – height between the lower part of the hollow entrance and the
ground, in cm

entrance - measured on the basis of the shape they most resembled
(ellipse, circle, triangle, or rectangle), in dm2

direction_degrees – the direction holoow entrances are facing

angle - Angle of entrance is the angle between the upper and lower edge
of a hollow entrance: the angle was negative when the upper edge was
less protruding than the lower edge (generating a higher probability to
get wet from rainwater) and positive when not.

WMV – wood mould volume; wood mould surface in hollows were measured on
the basis of the shape they most resembled (ellipse, circle, triangle,
or rectangle). The wood mould surface area (S) and the depth of the
cavity from the surface (measured with a wooden ruler) were used for
calculating wood mould volume (V= (depth of cavity × surface area S)/3)

rh_mean – mean value of volumetric water content of the wood mould
measured every second day for one month with a GS3 sensor (Decagon
Devices, US) at a depth of 5 cm.

rh_min – minimum value of volumetric water content of the wood mould
measured every second day for one month with a GS3 sensor (Decagon
Devices, US) at a depth of 5 cm.

rh_max – maximum value of volumetric water content of the wood mould
measured every second day for one month with a GS3 sensor (Decagon
Devices, US) at a depth of 5 cm.

rh_fluct – difference between maximum and minimum value of volumetric
water content of the wood mould measured every second day for one month
with a GS3 sensor (Decagon Devices, US) at a depth of 5 cm.

autumn_mean – mean value of daily average temperature measured inside
wood mould from the beginning of September to end of November

autumn_fluct - average value of daily temperature fluctuations (max-min)
measured inside wood mould from the beginning of September to end of
November

spring_mean – mean value of daily average temperature measured inside
wood mould from the beginning of March to end of May

spring_fluct – mean value of daily temperature fluctuations (max-min)
measured inside wood mould from the beginning of March to end of May

summer_mean – mean value of daily average temperature measured inside
wood mould from the beginning of June to end of August

summer_fluct – mean value of daily temperature fluctuations (max-min)
measured inside wood mould from the beginning of June to end of August

winter_mean – mean value of daily average temperature measured inside
wood mould from the beginning of December to end of February

winter_fluct – mean value of daily temperature fluctuations (max-min)
measured inside wood mould from the beginning of December to end of
February