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63<br />

two modali ties, Table 4.1, mo<strong>de</strong>ls 2 to 4). We first compared "<strong>de</strong>n" to other microhabitats<br />

merged into a single category (Table 4.1, mo<strong>de</strong>l 2). Among the non-<strong>de</strong>n microhabitats, we<br />

then compared arboreal ("<strong>de</strong>ci<strong>du</strong>ous", "conifer open", "conifer covered") to terrestri al<br />

("ground open", "ground covered") microhabitats (Table 4.1 , mo<strong>de</strong>l 3); and fi nall y open<br />

("ground open", "<strong>de</strong>ci<strong>du</strong>ous", "conifer open") to covered ("ground covered" , "conifer<br />

covered") microhabitats (Table 4.1 , mo<strong>de</strong>l 4).<br />

Calcul ating T ~ from other m<strong>et</strong>eorologica1 variables<br />

Because we did not mea<strong>sur</strong>e Tc continuously <strong>du</strong>ring the study peri od, we used<br />

synchronous mea<strong>sur</strong>ements of Tc, Ta, wind speed and n<strong>et</strong> radi ati on to re<strong>la</strong>te Tc to other<br />

m<strong>et</strong>eorological vari ables. We consi<strong>de</strong>red only mea<strong>sur</strong>es ma<strong>de</strong> <strong>du</strong>ring daytime (i.e. 30 min<br />

before sunrise to 30 min after suns<strong>et</strong>) because Tc mea<strong>sur</strong>ed with a b<strong>la</strong>ck bowl integrates the<br />

effects of wi nd only when so<strong>la</strong>r radiation occurs. We averaged mea<strong>sur</strong>ements over one-ho ur<br />

periods and consi<strong>de</strong>red only periods when Tc varied by ~ 3°C. We obtained 160 one-hour<br />

peri ods from 37 occasions of mea<strong>sur</strong>ements. We used general linear mixed mo<strong>de</strong>ls with<br />

normal distributions (proc MIXED) and inclu<strong>de</strong>d hour of mea<strong>sur</strong>ement as a repeated effect in<br />

our analyses. We fitted air temperature, the square root ofwind speed (Kreith & B<strong>la</strong>ck 1980),<br />

n<strong>et</strong> radi ati on and their fi rst or<strong>de</strong>r interacti ons as fixed effects to test how these vari ables<br />

<strong>influence</strong>d Tc.<br />

Activity patterns<br />

We wanted to test for an effect of Tc on acti vity patterns. Our data s<strong>et</strong> incl u<strong>de</strong>d repeated<br />

mea<strong>sur</strong>ements ma<strong>de</strong> on the same indivi<strong>du</strong>al at different dates so we fiUed general linear<br />

mixed mo<strong>de</strong>ls with porcupine i<strong>de</strong>ntity as a repeated factor. We used mi xed mo<strong>de</strong>ls with<br />

normal di stributions (SAS software, proc MIXED, SAS 2002) to analyse the effects of Tc on<br />

time spent outsi<strong>de</strong> of the <strong>de</strong>n, <strong>du</strong>rati on of activity bouts, and nocturnality in<strong>de</strong>x (i.e.<br />

continuo us vari ables) and mi xed mo<strong>de</strong>ls with binomi al di stributions (proc G LlMM 1X) to<br />

analyse the effects of Tc on the number of activity bouts per day. This <strong>la</strong>st variable had two<br />

categori es (l acti vity bout; > 1 acti vity bout, range: 2 to 4) in or<strong>de</strong>r to test if changes in Tc<br />

<strong>influence</strong>d porcupines to shi ft from unimodal to plurimodal patterns of acti vi ty. Because<br />

sampling peri ods were different b<strong>et</strong>ween 2004 and 2005, we tested the effect of year (fixed<br />

factor) before fi tting other vari ables. We removed the effects of confo unding va ri ables on<br />

acti vity pattern by including as fixed factors Julian date, snow pen<strong>et</strong>rability (dail y mea<strong>sur</strong>e in

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