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33<br />

3.2. Intro<strong>du</strong>ction<br />

A growing number of studies indicates that <strong>climat</strong>e affects popu<strong>la</strong>tion dynamics of<br />

mammals (Krebs & Be11eaux 2006). Climate can have direct effects on indivi<strong>du</strong>als (for<br />

example winter weather <strong>influence</strong>s popu<strong>la</strong>tion dynamics through effects on locomotion<br />

(Telfer & Kelsall 1984) or thermoregu<strong>la</strong>tion (Cook <strong>et</strong> al. 1998)); or indirect ones by affecting<br />

species interactions. For example, <strong>de</strong>ep snow may <strong>influence</strong> predator-prey re<strong>la</strong>tionships (Post<br />

<strong>et</strong> al. 1999b, Hebblewhite 2005) and access to food resources (Turner <strong>et</strong> al. 1994, Post &<br />

Stens<strong>et</strong>h 1999). Obviously, the different ways in which <strong>climat</strong>e <strong>influence</strong>s popu<strong>la</strong>tion<br />

dynamics are complex and our un<strong>de</strong>rstanding of mechanisms linking <strong>climat</strong>e to popu<strong>la</strong>tion<br />

growth rate is limited (Owen-Smith & Mills 2006). Because we can hardly manipu<strong>la</strong>te<br />

<strong>climat</strong>e, testing specifically for changes driven by weather variations is p<strong>la</strong>gued by<br />

experimental difficulties. The two main approaches that have been used are 1) small scale<br />

studies that aim at d<strong>et</strong>ermining mechanisms linking weather variations and changes in<br />

biological processes; and 2) <strong>la</strong>rge scale studies (i.e. data collected over long time periods<br />

and/or <strong>la</strong>rge areas) that aim at corre<strong>la</strong>ting the observed <strong>climat</strong>ic variability with changes in<br />

ecosystem functioning. Both approaches have important drawbacks and Root and Schnei<strong>de</strong>r<br />

(1995) suggested alternating studies performed on <strong>la</strong>rge and small scales to move ahead with<br />

<strong>climat</strong>e research. ln such cycles of analysis, <strong>la</strong>rge-scale studies would generate hypotheses<br />

that wou Id be tested using small-scale studies.<br />

The so<strong>la</strong>r cycle is known to have an impact on weather (Sinc<strong>la</strong>ir <strong>et</strong> al. 1993) with<br />

cascading effects on entire ecosystems (Verschuren <strong>et</strong> al. 2000, Ho<strong>de</strong>ll <strong>et</strong> al. 2001). For<br />

instance, the repro<strong>du</strong>ctive output of snowshoe hares in Yukon was found to be cyclic and<br />

highly corre<strong>la</strong>ted with sunspot numbers with a two years time <strong>la</strong>g (Stefan & Krebs 200 l,<br />

Krebs & Be11eaux 2006). Possible mechanisms involved in this re<strong>la</strong>tionship inclu<strong>de</strong> an effect<br />

of so<strong>la</strong>r activity on snow <strong>de</strong>pth which might in turn affect food supplies (Krebs & Berteaux<br />

2006) and lynx hunting success (Sten s<strong>et</strong>h <strong>et</strong> al. 1999,2004). North American porcupine<br />

(Er<strong>et</strong>hizon dorsatum) popu<strong>la</strong>tions in the Bas St. Laurent region of eastern Québec seem also<br />

to be affected by the so<strong>la</strong>r cycle. Klvana <strong>et</strong> al. (2004) found that an in<strong>de</strong>x of porcupine<br />

abundance (porcupine feeding scars) was re<strong>la</strong>ted to fluctuations in the so<strong>la</strong>r cycle, winter

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