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dc.contributor.authorSirén, Alexej
dc.contributor.authorZimova, Marketa
dc.contributor.authorSutherland, Chris S.
dc.contributor.authorFinn, John T.
dc.contributor.authorKilborn, Jillian R.
dc.contributor.authorCliché, Rachel M.
dc.contributor.authorProut, Leighlan S.
dc.contributor.authorScott Mills, L.
dc.contributor.authorLyn Morelli, Toni
dc.date.accessioned2023-06-20T12:30:11Z
dc.date.available2023-06-20T12:30:11Z
dc.date.issued2023-08-01
dc.identifier288903885
dc.identifier74a914b9-38f7-4f11-97fa-71619916671a
dc.identifier85161703970
dc.identifier.citationSirén , A , Zimova , M , Sutherland , C S , Finn , J T , Kilborn , J R , Cliché , R M , Prout , L S , Scott Mills , L & Lyn Morelli , T 2023 , ' A Great Escape : resource availability and density-dependence shape population dynamics along trailing range edges ' , Ecography , vol. 2023 , no. 8 , e06633 . https://doi.org/10.1111/ecog.06633en
dc.identifier.issn0906-7590
dc.identifier.otherRIS: urn:C083536C5143B94AC8845B377D566A8F
dc.identifier.otherORCID: /0000-0003-2073-1751/work/137495279
dc.identifier.urihttps://hdl.handle.net/10023/27801
dc.descriptionFunding: This research was funded by the Northeast Climate Adaptation Science Center, which is managed by the USGS National Climate Adaptation Science Center. Additional funding was provided by 1) a CFDA grant (15.678) administered by the USFWS via a Cooperative Agreement Award (no. F16AC00435) to the University of Massachusetts (UMass); 2) a Challenge Cost Share Agreement (no. 14-CS-11092200-019) between the USFS and NHFG; 3) a Dissertation Fieldwork Grant awarded to APKS by the UMass Graduate School, 4) generous support from backers of an Experiment award to APKS and MZ (DOI: 10.18258/10737) and 5) a National Science Foundation grant DEB-1907022 to LSM.en
dc.description.abstractPopulations along geographical range limits are often exposed to unsuitable climate and low resource availability relative to core populations. As such, there has been a renewed focus on understanding the factors that determine range limits to better predict how species will respond to global change. Using recent theory on range limits and classical understanding of density dependence, we evaluated the influence of resource availability on the snowshoe hare Lepus americanus along its trailing range edge. We estimated variation in population density, habitat use, survival, and parasite loads to test the Great Escape Hypothesis (GEH), i.e. that density dependence determines, in part, a species' persistence along trailing edges. We found that variability in resource availability affected density and population fluctuations and led to trade-offs in survival for snowshoe hare populations in the northeastern USA. Hares living in resource-limited environments had lower and less variable population density, yet higher survival and lower parasitism compared to populations living in resource-rich environments. We suggest that density-dependent dynamics, elicited by resource availability, provide hares a unique survival advantage and partly explain persistence along their trailing edge. We hypothesize that this low-density escape from predation and parasitism occurs for other prey species along trailing edges, but the extent to which it occurs is likely conditional on the quality of matrix habitat. Our work indicates that biotic factors play an important role in shaping species' trailing edges and more detailed examination of non-climatic factors is warranted to better inform conservation and management decisions.
dc.format.extent12
dc.format.extent3490783
dc.language.isoeng
dc.relation.ispartofEcographyen
dc.subjectClimate changeen
dc.subjectDensity dependenceen
dc.subjectLepus americanusen
dc.subjectPredationen
dc.subjectRange-limitsen
dc.subjectResource availabilityen
dc.subjectDASen
dc.subjectSDG 13 - Climate Actionen
dc.subjectMCCen
dc.titleA Great Escape : resource availability and density-dependence shape population dynamics along trailing range edgesen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. Statisticsen
dc.contributor.institutionUniversity of St Andrews. Centre for Research into Ecological & Environmental Modellingen
dc.identifier.doi10.1111/ecog.06633
dc.description.statusPeer revieweden


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