Logging‐induced changes in habitat network connectivity shape behavioral interactions in the wolf–caribou–moose system. Issue 2 (1st May 2014)

• Record Type: Journal Article
• Authors: Courbin, N.; Fortin, D.; Dussault, C.; Courtois, R.
• Is Part Of: Ecological monographs. Volume 84:Issue 2(2014)
• Page Start: 265
• Page End: 285
• Publication Date: 2014-05-01
• Subjects: accessibility -- Alces alces -- Canis lupus -- Côte-Nord, Québec, Canada -- functional connectivity -- graph theory -- leapfrog effect -- multi-trophic habitat network analysis -- patch choice -- Rangifer tarandus caribou -- residency time -- wolf–prey spatial game; Ecology -- Periodicals; Ecology; Écologie; Electronic journals; Periodicals; Ressource Internet (Descripteur de forme); Périodique électronique (Descripteur de forme); 577
• DOI: 10.1890/12-2118.1
• Languages: English
• ISSNs: 0012-9615

Abstract

Abstract : Habitat connectivity influences the distribution dynamics of animals. Connectivity can therefore shape trophic interactions, but little empirical evidence is available, especially for large mammals. In forest ecosystems, logging alters functional connectivity among habitat patches, and such activities can affect the spatial game between large herbivores and their predators. We used graph theory to evaluate how harvesting‐induced changes in habitat connectivity influence patch choice and residency time of GPS‐collared caribou ( Rangifer tarandus caribou ) and moose ( Alces alces ) in winter in the boreal forest. We then investigated the predator–prey game by assessing how GPS‐collared wolves ( Canis lupus ) adjusted their movements to changes in landscape properties and in the networks of their prey species. We built prey habitat networks using minimum planar graphs organized around species‐specific, highly selected habitat patches (i.e., network nodes). We found that spatial dynamics of large herbivores were influenced not only by the intrinsic quality of habitat patches, but also by the connectivity of those network nodes. Caribou and moose selected nodes that were connected by a high number of links, and moose also spent relatively more time in those nodes. By limiting node accessibility, human disturbances influenced travel decisions. Caribou and moose avoided nodes that were surrounded by a high proportion of cuts and roads, but once within these nodes, moose stayed longer than in other nodes. Caribou selectively moved among nodes with low distance costs, and their residency time increased with distance costs required to reach the nodes. Wolves selected their prey's nodes, where vegetation consumed by caribou and moose was highly abundant. Furthermore, wolves discriminated among those nodes by selecting the most connected ones. In fact, selection by wolves was stronger for their prey's nodes than for the prey's utilization distribution per se, a difference that increased with the level of human disturbance. Considering the difficulty of keeping track of highly mobile prey, predators may benefit by targeting not only their prey's resource patches, but also the most highly connected patches. Matrix quality and connectivity are therefore key elements shaping the predator–prey spatial game in human‐altered landscapes because of their impact on the spatial dynamics of the interacting species.