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Jreidini N, Green DM. Study methodology impacts density-dependent dispersal observations: a systematic review. MOVEMENT ECOLOGY 2024; 12:39. [PMID: 38773669 PMCID: PMC11107046 DOI: 10.1186/s40462-024-00478-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 05/08/2024] [Indexed: 05/24/2024]
Abstract
The relationship between animal dispersal and conspecific density has been explored in various study systems but results in terms of both the magnitude and the direction of density dependence are inconsistent. We conducted a thorough review of the literature (2000-2023) and found k = 97 empirical studies of birds, fishes, herpetofauna (amphibians and reptiles), invertebrates, or mammals that had tested for a correlation between conspecific density and animal dispersal. We extracted categorical variables for taxonomic group, sex, age, migratory behavior, study design, dispersal metric, density metric and variable type, as well as temporal and spatial scale, to test each of their correlation with the effect of density on dispersal (Pearson's r) using linear regressions and multilevel mixed-effect modelling. We found certain biases in the published literature, highlighting that the impact of conspecific density on dispersal is not as widespread as it is thought to be. We also found no predominant trend for density-dependent dispersal across taxonomic groups. Instead, results show that the scale and metrics of empirical observations significantly affected analytical results, and heterogeneity measures were high within taxonomic groups. Therefore, the direction and magnitude of the interaction between density and dispersal in empirical studies could partially be attributed to the data collection method involved. We suggest that the contradictory observations for density-dependent dispersal could be explained by dispersal-dependent density, where density is driven by movement instead, and urge researchers to either test this interaction when applicable or consider this perspective when reporting results.
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Affiliation(s)
| | - David M Green
- Redpath Museum, McGill University, Montreal, QC, Canada
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Sommaro LV, Martínez JJ, Chiappero MB, Steinmann AR, Gardenal CN, Priotto JW. Relatedness dynamics and sex-biased dispersal in a seasonal cycle of corn mice from intensively managed agroecosystems. Curr Zool 2024; 70:1-12. [PMID: 38476139 PMCID: PMC10926262 DOI: 10.1093/cz/zoac092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 11/17/2022] [Indexed: 03/14/2024] Open
Abstract
The sex-biased dispersal and kinship dynamics are important factors shaping the spatial distribution of individuals and are key parameters affecting a variety of ecological and evolutionary processes. Here, we studied the spatial distribution of related individuals within a population of corn mice Calomys musculinus in a seasonal cycle to infer dispersal patterns. The sampling was carried out from spring 2005 to winter 2006 in field borders of intensively managed agroecosystems. Genotyping data from 346 individuals with 9 microsatellites showed spatial genetic structure was weak for males, but not for females. The results indicate a complex spatial kinship dynamic of related females across all seasons. Which, contrary to our expectations, dispersal distances decrease with the increase of the population abundance. Meanwhile, male dispersal distances were greater when population abundance increased and thus the availability of active females. Males disperse greater distances to mate and sire offspring with distant females as a possible inbreeding avoidance mechanism. This study shows that C. musculinus is capable of much greater scattering distances than previously reported and that dispersal occurs fluidly and without barriers across the agroecosystem. The indirect benefit of dispersal on individual fitness could be related to relaxing the competition in the natal area and increasing the mating rate. Our study highlights the value of combining genetic relatedness, fieldwork observations, and behavioral data to estimate dispersal at a fine geographical scale.
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Affiliation(s)
- Lucia V Sommaro
- Laboratorio de Ecología Evolutiva y Biogeografía, Instituto de Ecorregiones Andinas (INECOA), Universidad Nacional de Jujuy - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), San Salvador de Jujuy, Jujuy, Argentina
| | - Juan J Martínez
- Laboratorio de Ecología Evolutiva y Biogeografía, Instituto de Ecorregiones Andinas (INECOA), Universidad Nacional de Jujuy - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), San Salvador de Jujuy, Jujuy, Argentina
| | - Marina B Chiappero
- Instituto de Diversidad y Ecología Animal (IDEA), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) and Universidad Nacional de Córdoba, Córdoba, Argentina
- Cátedra de Genética de Poblaciones y Evolución, Facultad de Ciencias Exactas, Físicas y Naturales, Universidad Nacional de Córdoba, Córdoba, Argentina
| | - Andrea R Steinmann
- Grupo de Investigaciones en Ecología Poblacional y Comportamental (GIEPCO), Instituto de Ciencias de la Tierra, Biodiversidad y Ambiente (ICBIA), Universidad Nacional de Río Cuarto - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Río Cuarto, Córdoba, Argentina
| | - Cristina N Gardenal
- Instituto de Diversidad y Ecología Animal (IDEA), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) and Universidad Nacional de Córdoba, Córdoba, Argentina
- Cátedra de Genética de Poblaciones y Evolución, Facultad de Ciencias Exactas, Físicas y Naturales, Universidad Nacional de Córdoba, Córdoba, Argentina
| | - José W Priotto
- Grupo de Investigaciones en Ecología Poblacional y Comportamental (GIEPCO), Instituto de Ciencias de la Tierra, Biodiversidad y Ambiente (ICBIA), Universidad Nacional de Río Cuarto - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Río Cuarto, Córdoba, Argentina
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Rutherford KL, Cottenie K, Denomme-Brown ST. To go or not to go: variable density-dependent dispersal in small mammals. J Mammal 2022. [DOI: 10.1093/jmammal/gyac117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Abstract
Population density has been widely understood to be a key influencer of dispersal behavior; however, the generality of density-dependent (DD) dispersal in vertebrates is unclear. We conducted a review of the available empirical data on small mammal DD dispersal, distinguishing between the three dispersal stages: emigration, immigration, and transience (dispersal distance). We focused on small mammals because they are a well-studied, functionally similar group of vertebrates, with a distinct ecological importance. We also examined the effect of season, body mass, study length, and study type on the strength and direction of DD dispersal. The majority of emigration and dispersal distance studies reported negative density dependence, while immigration was mostly independent of density. No correlative patterns were detected; however, interpretation of the available data was hindered by inconsistencies in experimental and analytical approach across studies. Our results suggest that the three phases of the dispersal process may be influenced differently by density and highlight the importance of distinguishing between emigration, immigration, and transience when considering the effects of density dependence. As well, our study identifies several limitations with the current available data which limit the ability to compare DD dispersal behavior across systems, and calls for future investigations that consider all three phases of dispersal in the same system.
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Affiliation(s)
- Kate L Rutherford
- Department of Integrative Biology, University of Guelph , 50 Stone Road East, Guelph, Ontario N1G 2W1 , Canada
| | - Karl Cottenie
- Department of Integrative Biology, University of Guelph , 50 Stone Road East, Guelph, Ontario N1G 2W1 , Canada
| | - Simon T Denomme-Brown
- Department of Integrative Biology, University of Guelph , 50 Stone Road East, Guelph, Ontario N1G 2W1 , Canada
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Jreidini N, Green DM. Dispersal without drivers: Intrinsic and extrinsic variables have no impact on movement distances in a terrestrial amphibian. Ecol Evol 2022; 12:e9368. [PMID: 36203625 PMCID: PMC9526034 DOI: 10.1002/ece3.9368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 09/09/2022] [Accepted: 09/12/2022] [Indexed: 11/07/2022] Open
Abstract
Dispersive movements are often thought to be multicausal and driven by individual body size, sex, conspecific density, environmental variation, personality, and/or other variables. Yet such variables often do not account for most of the variation among dispersive movements in nature, leaving open the possibility that dispersion may be indeterministic. We assessed the amount of variation in 24 h movement distances that could be accounted for by potential drivers of displacement with a large empirical dataset of movement distances performed by Fowler's Toads (Anaxyrus fowleri) on the northern shore of Lake Erie at Long Point, Ontario (2002-2021, incl.). These toads are easy to sample repeatedly, can be identified individually and move parallel to the shoreline as they forage at night, potentially dispersing to new refuge sites. Using a linear mixed-effect model that incorporated random effect terms to account for sampling variance and inter-annual variation, we found that all potential intrinsic and extrinsic drivers of movement accounted for virtually none of the variation observed among 24 h distances moved by these animals, whether over short or large spatial scales. We examined the idea of movement personality by testing variance per individual toad and found no evidence of individuality in movement distances. We conclude that deterministic variables, whether intrinsic or extrinsic, neither can be shown to nor are necessary to drive movements in this population over all spatial scales. Stochastic, short time-scale movements, such as daily foraging movements, can instead accumulate over time to produce large spatial-scale movements that are dispersive in nature.
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Denomme-Brown ST, Cottenie K, Falls JB, Falls EA, Brooks RJ, McAdam AG. Variation in space and time: a long-term examination of density-dependent dispersal in a woodland rodent. Oecologia 2020; 193:903-912. [PMID: 32809054 DOI: 10.1007/s00442-020-04728-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Accepted: 08/10/2020] [Indexed: 11/29/2022]
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.
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Affiliation(s)
- Simon T Denomme-Brown
- Department of Integrative Biology, University of Guelph, 50 Stone Rd. E., Guelph, ON, N1G 2W1, Canada.
| | - Karl Cottenie
- Department of Integrative Biology, University of Guelph, 50 Stone Rd. E., Guelph, ON, N1G 2W1, Canada
| | - J Bruce Falls
- Department of Zoology, University of Toronto, Toronto, ON, Canada
| | - E Ann Falls
- Department of Zoology, University of Toronto, Toronto, ON, Canada
| | - Ronald J Brooks
- Department of Integrative Biology, University of Guelph, 50 Stone Rd. E., Guelph, ON, N1G 2W1, Canada
| | - Andrew G McAdam
- Department of Ecology and Evolutionary Biology, University of Colorado Boulder, Boulder, CO, 80309-0334, USA
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Harman RR, Goddard J, Shivaji R, Cronin JT. Frequency of Occurrence and Population-Dynamic Consequences of Different Forms of Density-Dependent Emigration. Am Nat 2020; 195:851-867. [DOI: 10.1086/708156] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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García-Navas V, Bonnet T, Waldvogel D, Camenisch G, Postma E. Consequences of natal philopatry for reproductive success and mate choice in an Alpine rodent. Behav Ecol 2016. [DOI: 10.1093/beheco/arw031] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Wojan CM, Knapp SM, Mabry KE. Spatial variation in population density affects dispersal behavior in brush mice. Ecology 2015. [DOI: 10.1890/14-1661.1] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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