Abstract
Dispersal is a fundamental ecological process that can be affected by population density, yet studies report contrasting effects of density on propensity to disperse. In addition, the relationship between dispersal and density is seldom examined using densities measured at different spatial scales or over extensive time series. We used 51 years of trapping data to examine how dispersal by wild deer mice (Peromyscus maniculatus) was affected by changes in both local and regional population densities. We examined these patterns over both the entire time series and also in 10-year shifting windows to determine whether the nature and strength of the relationship changed through time. Probability of dispersal decreased with increased local and regional population density, and the negative effect of local density on dispersal was more pronounced in years with low regional densities. In addition, the strength of negative density-dependent dispersal changed through time, ranging from very strong in some decades to absent in other periods of the study. Finally, while females were less likely to disperse, female dispersal was more density-dependent than male dispersal. Our study shows that the relationship between density and dispersal is not temporally static and that investigations of density-dependent dispersal should consider both local and regional population densities.
Similar content being viewed by others
References
Abramson G, Giuggioli L, Kenkre VM, Dragoo JW, Parmenter RR, Parmenter CR, Yates TL (2006) Diffusion and home range parameters for rodents: Peromyscus maniculatus in New Mexico. Ecol Complex 3:64–70. https://doi.org/10.1016/j.ecocom.2005.07.001
Anderson CS, Meikle DB (2010) Genetic estimates of immigration and emigration rates in relation to population density and forest patch area in Peromyscus leucopus. Conserv Genet 11:1593–1605. https://doi.org/10.1007/s10592-009-0033-8
Bates D, Maechler M, Bolker B, Walker S (2015) Fitting linear mixed-effects models using lme4. J Stat Softw 67:1–48. https://doi.org/10.18637/jss.v067.i01
Betini GS, Pardy A, Griswold CK, Norris DR (2015) The role of seasonality and non-lethal carry-over effects on density-dependent dispersal. Ecosphere 6:art272. https://doi.org/10.1890/es15-00257.1
Bowers MA, Smith HD (1979) Differential habitat utilization by sexes of deermouse, Peromyscus maniculatus. Ecology 60:869–875. https://doi.org/10.2307/1936854
Bowler DE, Benton TG (2005) Causes and consequences of animal dispersal strategies: relating individual behaviour to spatial dynamics. Biol Rev Camb Philos Soc 80:205–225. https://doi.org/10.1017/S1464793104006645
Bowman J, Corkum CV, Forbes GJ (2001a) Spatial scales of trapping in small-mammal research. Can Field Nat 115:472–475
Bowman J, Forbes G, Dilworth T (2001b) Distances moved by small woodland rodents within large trapping grids. Can Field Nat 115:64–67
Brant DH (1962) Measures of the movements and population densities of small rodents. Univ Calif Publ Zool 62:105–184
Burnham KP, Anderson DR (2007) Model selection and inference: a practical information-theoretic approach, 2nd edn. Springer, New York
Cardinale BJ, Wright JP, Cadotte MW, Carroll IT, Hector A, Srivastava DS, Loreau M, Weis JJ (2007) Impacts of plant diversity on biomass production increase through time because of species complementarity. Proc Natl Acad Sci 104:18123–18128. https://doi.org/10.1073/pnas.0709069104
Catchpole EA, Fan Y, Morgan BJT, Coulson TN, Clutton-Brock TH (2004) Sexual dimorphism, survival and dispersal in red deer. J Agric Biol Environ Stat 9:1–26. https://doi.org/10.1198/1085711043172
Danielson BJ, Gaines MS (1987) The influences of conspecific and heterospecific residents on colonization. Ecology 68:1778–1784. https://doi.org/10.2307/1939869
De Bona S, Bruneaux M, Lee AEG, Reznick DN, Bentzen P, López-Sepulcre A (2019) Spatio-temporal dynamics of density-dependent dispersal during a population colonisation. Ecol Lett. https://doi.org/10.1111/ele.13205
Diffendorfer JE, Gaines MS, Holt RD (1999) Patterns and impacts of movements at different scales in small mammals. In: Barrett GW, Peles JD (eds) Landscape ecology of small mammals. Springer, New York, pp 63–88
Distiller G, Borchers DL (2015) A spatially explicit capture-recapture estimator for single-catch traps. Ecol Evol 21:5074–5087. https://doi.org/10.1002/ece3.1748
Do R, Shonfield J, McAdam AG (2013) Reducing accidental shrew mortality associated with small-mammal livetrapping II: a field experiment with bait supplementation. J Mammal 94:754–760. https://doi.org/10.1644/12-MAMM-A-242.1
Dobson FS (1982) Competition for mates and predominant juvenile male dispersal in mammals. Anim Behav 30:1183–1192. https://doi.org/10.1016/S0003-3472(82)80209-1
Emlen ST, Oring LW (1977) Ecology, sexual selection and the evolution of mating systems. Science 197:215–223. https://doi.org/10.1126/science.327542
Fairbairn DJ (1978a) Dispersal of deer mice, Peromyscus maniculatus—proximal causes and effects on fitness. Oecologia 193:171–193. https://doi.org/10.1007/BF00366070
Fairbairn DJ (1978b) Behaviour of dispersing deer mice (Peromyscus maniculatus). Behav Ecol Sociobiol 3:265–282. https://doi.org/10.1007/BF00296313
Falls JB, Falls EA, Fryxell JM (2007) Fluctuations of deer mice in Ontario in relation to seed crops. Ecol Monogr 77:19–32. https://doi.org/10.1890/05-1485
Gaines MS, McClenaghan LR (1980) Dispersal in small mammals. Annu Rev Ecol Syst 11:163–196. https://doi.org/10.1146/annurev.es.11.11080.001115
Gaitan J, Millien V (2016) Stress level, parasite load, and movement pattern in a small-mammal reservoir host for Lyme disease. Can J Zool 94:565–573. https://doi.org/10.1139/cjz-2015-0225
Garten CT, Smith MH (1974) Movement by oldfield mice and population regulation. Acta Theriol 19:513–514
Gerber BD, Parmenter RR (2015) Spatial capture-recapture model performance with known small-mammal densities. Ecol Appl 25:695–705. https://doi.org/10.1890/14-0960.1
Goundie TR, Vessey SH (1986) Survival and dispersal of young white-footed mice born in nest boxes. J Mammal 67:53–60. https://doi.org/10.2307/1381001
Green AJ, Figuerola J (2005) Recent advances in the study of long-distance dispersal of aquatic invertebrates via birds. Divers Distrib 11:149–156. https://doi.org/10.1111/j.1366-9516.2005.00147.x
Greenwood PJ (1980) Mating systems, philopatry and dispersal in birds and mammals. Anim Behav 28:1140–1162. https://doi.org/10.1016/S0003-3472(80)80103-5
Groves CR, Keller BL (1986) Ecological characteristics of small mammals on a radioactive waste disposal area in southeastern Idaho. Am Midl Nat 46:404–410. https://doi.org/10.2307/2425405
Harestad AS, Bunnel FL (1979) Home range and body weight—a reevaluation. Ecology 60:389–402. https://doi.org/10.2307/1937667
Hestbeck JB (1982) Population regulation of cyclic mammals: the Social Fence Hypothesis. Oikos 39:157–163. https://doi.org/10.2307/3544480
Holyoak MR, Casagrandi R, Nathan R, Revilla E, Spiegel O (2008) Trends and missing parts in the study of movement ecology. Proc Natl Acad Sci USA 105:19060–19065. https://doi.org/10.1073/pnas.0800483105
Jung T, O’Donovan K, Powell T (2005) Long-distance movement of a dispersing deer mouse, Peromyscus maniculatus, in the boreal forest. Can Field Nat 119:451–452. https://doi.org/10.22621/cfn.v119i3.161
Kim SY, Torres R, Drummond H (2009) Simultaneous positive and negative density-dependent dispersal in a colonial bird species. Ecology 90:230–239. https://doi.org/10.1890/08-0133.1
Koenig W, Van Vuren D, Hooge PN (1996) Detectability, philopatry and the distribution of dispersal distances in vertebrates. Trends Ecol Evol 11:514–517. https://doi.org/10.1016/S0169-5347(96)20074-6
Kot M, Lewis MA, Van Den Driessche P (1996) Dispersal data and the spread of invading organisms. Ecology 77:2027–2042. https://doi.org/10.2307/2265698
Kratz TK, Deegan LA, Harmon ME, Lauenroth WK (2003) Ecological variability in space and time: insights gained from the US LTER program. BioScience 53:57–67. https://doi.org/10.1641/0006-3568(2003)053%5b0057:evisat%5d2.0.co;2
Leibold MA, Holyoak M, Mouquet N, Amarasekare P, Chase JM, Hoopes MF, Holt RD, Shurin JB, Law R, Tilman D, Loreau M, Gonzalez A (2004) The metacommunity concept: a framework for multi-scale community ecology. Ecol Lett 7:601–613. https://doi.org/10.1111/j.1461-0248.2004.00608.x
Levin SA, Muller-Landau HC, Nathan R, Chave J (2003) The ecology and evolution of seed dispersal: a theoretical perspective. Annu Rev Ecol Evol Syst 34:575–604. https://doi.org/10.1146/annurev.ecolsys.34.011802.132428
Logue JB, Mouquet N, Peter H, Hillebrand H (2011) Empirical approaches to metacommunities: a review and comparison with theory. Trends Ecol Evol 26:482–491. https://doi.org/10.1016/j.tree.2011.04.009
Mabry KE (2014) Effects of sex and population density on dispersal and spatial genetic structure in brush mice. J Mammal 95:981–991. https://doi.org/10.1644/14-MAMM-A-008
Mabry KE, Shelley EL, Davis KE, Blumstein DT, van Vuren DH (2013) Social mating system and sex-biased dispersal in mammals and birds: a phylogenetic analysis. PLoS ONE 8:1–9. https://doi.org/10.1371/journal.pone.0057980
Matthysen E (2005) Density-dependent dispersal in birds and mammals. Ecography 28:403–416. https://doi.org/10.1111/j.0906-7590.2005.04073.x
Meerburg BG, Singleton GR, Kijlstra A (2009) Rodent-borne diseases and their risks for public health. Crit Rev Microbiol 35:221–270. https://doi.org/10.1080/1040841090298983
Morris DW, Diffendorfer JE (2004) Reciprocating dispersal by habitat-selecting white-footed mice. Oikos 107:549–558. https://doi.org/10.1111/j.0030-1299.2004.12895.x
Mundt CC, Sackett KE, Wallace LD, Cowger C, Dudley JP (2009) Long-distance dispersal and accelerating waves of disease: empirical relationships. Am Nat 173:456–466. https://doi.org/10.1086/597220
Murray BGJ (1967) Dispersal in vertebrates. Ecology 48:975–978. https://doi.org/10.2307/1934544
Myers P, Lundrigan BL, Hoffman SMG, Haraminac AP, Seto SH (2009) Climate-induced changes in small mammal communities of the Northern Great Lakes Region. Glob Change Biol 15:1434–1445. https://doi.org/10.1111/j.1365-2486.2009.01846.x
Nathan R (2006) Long-distance dispersal of plants. Science 313:786–788. https://doi.org/10.1126/science.1124975
Nathan R, Perry G, Cronin JT, Strand AE, Cain ML (2003) Methods for estimating long-distance dispersal. Oikos 103:261–273. https://doi.org/10.1034/j.1600-0706.2003.12146.x
Pasinelli G, Walters JR (2002) Social and environmental factors affect natal dispersal and philopatry of male Red-cockaded Woodpeckers. Ecology 83:2229–2239. https://doi.org/10.1890/0012-9658(2002)083%5b2229:saefan%5d2.0.co;2
Pérez-González J, Carranza J (2009) Female-biased dispersal under conditions of low male mating competition in a polygynous mammal. Mol Ecol 18:4617–4630. https://doi.org/10.1111/j.1365-294X.2009.04386.x
R Core Team (2018) R: a language and environment for statistical computing, version 3.5. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org/
Rehmeier RL, Kaufman GA, Kaufman DW (2004) Long-distance movements of the deer mouse in tallgrass prairie. J Mammal 85:562–568. https://doi.org/10.1644/1383956
Rodrigues AMM, Johnstone RA (2014) Evolution of positive and negative density-dependent dispersal. Proc R Soc Lond B Biol Sci 281:20141226. https://doi.org/10.1098/rspb.2014.1226
Royle JA, Chandler RB, Sollmann R, Gardner B (2013) Spatial capture-recapture. Academic Press, Cambridge
Schloss CA, Nuñez TA, Lawler JJ (2012) Dispersal will limit ability of mammals to track climate change in the Western Hemisphere. Proc Natl Acad Sci USA 109:8606–8611. https://doi.org/10.1073/pnas.1116791109
Shonfield J, Do R, Brooks RJ, McAdam AG (2013) Reducing accidental shrew mortality associated with small-mammal livetrapping I: an inter- and intrastudy analysis. J Mammal 94:745–753. https://doi.org/10.1644/12-MAMM-A-271.1
Stamps JA (1991) The effects of conspecifics on habitat selection in territorial species. Behav Ecol Sociobiol 28:29–36. https://doi.org/10.1007/BF00172136
Stickel LF (1960) Peromyscus ranges at high and low population densities. J Mammal 41:433–441. https://doi.org/10.2307/1377530
Stickel LF (1968) Home range and travels. In: King JA (ed) Biology of peromyscus (rodentia). Special publication no. 2. American Society of Mammalogists, Stillwater, pp 373–411
Taitt MJ (1981) The effect of extra food on small rodent populations: I. Deermice (Peromyscus maniculatus). J Anim Ecol 50:111–124. https://doi.org/10.2307/4035
van de Pol M, Wright J (2009) A simple method for distinguishing within- versus between-subject effects using mixed models. Anim Behav 77:753–758. https://doi.org/10.1016/j.anbehav.2008.11.006
Van Horne B (1980) Deomgraphy of Peromyscus maniculatus populations in seral stages of coastal coniferous forest in southeast Alaska. Can J Zool 59:1045–1061. https://doi.org/10.1139/z81-146
Vellend M (2010) Conceptual synthesis in community ecology. Q Rev Biol 85:183–206. https://doi.org/10.1086/652373
Wojan CM, Knapp SM, Mabry KE (2015) Spatial variation in population density affects dispersal behavior in brush mice. Ecology 96:1661–1669. https://doi.org/10.1890/14-1661.1
Wood CM, McKinney ST (2015) Record long-distance movement of a deer mouse, Peromyscus maniculatus, in a New England montane boreal forest. Can Field Nat 129:10–11. https://doi.org/10.22621/cfn.v129i2.1699
Wood BA, Cao L, Dearing MD (2010) Deer mouse (Peromyscus maniculatus) home-range size and fidelity in sage-steppe habitat. West N Am Nat 70:345–354. https://doi.org/10.3398/064.070.0307
Acknowledgements
We would like to acknowledge countless individuals who collected these data. Thank you to the Algonquin Wildlife Research Station for logistical support. This work was supported through funding from the National Science and Engineering Research Council of Canada and the Ontario Ministry of Natural Resources. We dedicate this work to the memory of our colleague Dr. Leslie Rye who said it best: “I can’t believe I am getting paid to work in Algonquin!”
Author information
Authors and Affiliations
Contributions
STDB, KC and AGM devised the main ideas of this work. STDB wrote the initial draft of the manuscript; all authors contributed substantially to its revision. STDB completed the analysis. JBF, EAF, RJB, STDB, and AGM all contributed to the collection and maintenance of the dataset.
Corresponding author
Additional information
Communicated by Frauke Ecke.
Rights and permissions
About this article
Cite this article
Denomme-Brown, S.T., Cottenie, K., Falls, J.B. et al. Variation in space and time: a long-term examination of density-dependent dispersal in a woodland rodent. Oecologia 193, 903–912 (2020). https://doi.org/10.1007/s00442-020-04728-3
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00442-020-04728-3