Study methodology impacts density-dependent dispersal observations: a systematic review

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 st...

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Published inMovement ecology Vol. 12; no. 1; p. 39
Main Authors Jreidini, Nathalie, Green, David M
Format Journal Article
LanguageEnglish
Published England BioMed Central Ltd 21.05.2024
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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.
AbstractList 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.
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.
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.
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. Keywords: Conspecific density, Data methodology, Empirical observations, Heterogeneity, Meta-analysis, Migration
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.
ArticleNumber 39
Audience Academic
Author Jreidini, Nathalie
Green, David M
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Cites_doi 10.1080/00221309809595548
10.1111/2041-210X.13724
10.1186/s40462-023-00371-8
10.1111/j.1365-2656.2009.01527.x
10.1146/annurev.ecolsys.38.091206.095611
10.1016/j.jtbi.2011.05.012
10.1890/08-1903.1
10.1098/rspb.1997.0004
10.1002/ecy.2172
10.1016/B978-012323448-3/50015-5
10.1086/367592
10.1890/0012-9658(2002)083[0858:CAFCON]2.0.CO;2
10.1111/biom.12454
10.1098/rspb.2014.1226
10.1139/cjfas-2016-0047
10.1111/j.1600-0587.2010.06212.x
10.1086/282900
10.1080/10641262.2013.796813
10.1016/j.anbehav.2011.12.011
10.1073/pnas.0800483105
10.1017/S1464793104006645
10.1111/j.0006-341X.2000.00455.x
10.1007/BF00276132
10.1111/j.1440-6055.2007.00594.x
10.1890/0012-9615(2001)071[0245:TIOHQO]2.0.CO;2
10.1073/pnas.0801725105
10.2307/2422936
10.1080/00028487.2013.806953
10.18637/jss.v036.i03
10.1007/s00442-004-1804-z
10.1007/BF00377175
10.1111/j.2006.0030-1299.14391.x
10.1136/bmj.327.7414.557
10.1016/0040-5809(82)90008-9
10.1186/s40462-014-0020-7
10.1002/ece3.9368
10.1111/j.0906-7590.2005.04073.x
10.1007/s00442-020-04728-3
10.1086/285453
10.1016/B978-012323445-2/50015-8
10.1093/oso/9780195143850.003.0003
10.1111/1365-2435.14252
10.1086/708156
10.1890/0012-9658(2006)87[1445:SOEFDD]2.0.CO;2
10.1093/jmammal/gyac117
10.1016/j.physrep.2012.03.004
10.1086/588289
10.1080/17513750802491849
10.1111/1365-2656.12906
10.1016/S0895-4356(01)00377-8
10.1046/j.1461-0248.2000.00141.x
10.1080/03949370.2011.643922
10.1002/9781119558378
10.1111/afe.12275
10.1002/ecy.2792
10.1098/rsbl.2014.0287
10.1111/j.1469-7998.2007.00348.x
10.1111/brv.12714
10.1111/oik.04902
10.1111/j.1365-2664.2005.01031.x
10.1086/721763
10.1371/journal.pone.0122355
10.1890/11-1656.1
10.1007/s10530-020-02446-8
10.1111/j.1461-0248.2008.01267.x
10.1002/ece3.1854
10.1007/s10980-007-9108-4
10.1136/bmj.315.7109.629
10.1046/j.1365-2656.2000.00431.x
10.1111/j.1472-4642.2012.00943.x
10.1111/jeb.13182
10.1093/acprof:oso/9780199608898.003.0001
10.1007/s00114-006-0186-y
10.1371/journal.pone.0095071
10.1186/s40462-022-00322-9
10.1644/14-MAMM-A-008
10.1098/rspb.2011.0673
10.1098/rspb.1999.0854
10.1111/jam.15194
10.1371/journal.pone.0102880
10.1046/j.1365-2656.1998.00215.x
10.1890/ES15-00257.1
10.1063/1.1744102
10.1111/oik.08896
10.1093/jmammal/gyv054
10.1016/j.jtbi.2012.10.007
10.1007/s10336-019-01674-7
10.1111/1365-2656.13696
10.1177/016327870102400203
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Issue 1
Keywords Heterogeneity
Data methodology
Empirical observations
Migration
Conspecific density
Meta-analysis
Language English
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References E Gonzalez-Bernal (478_CR39) 2014; 9
L Giuggioli (478_CR38) 2014; 2
E Matthysen (478_CR61) 2005; 28
KL Rutherford (478_CR85) 2023; 104
S Wang (478_CR100) 2019; 100
CL Lutz (478_CR58) 2015; 96
478_CR46
478_CR45
478_CR42
SC Burgess (478_CR16) 2012; 93
CB Baines (478_CR7) 2014; 10
Y Lou (478_CR56) 2009; 3
M Baguette (478_CR5) 2007; 22
E Matthysen (478_CR62) 2012
JP Higgins (478_CR43) 2003; 327
D Fuentes (478_CR36) 2019; 160
MG Forero (478_CR34) 2002; 83
J Clobert (478_CR24) 2009; 12
PM Kareiva (478_CR52) 1983; 57
H Pärn (478_CR77) 2012; 279
M Egger (478_CR32) 1997; 315
DE Bowler (478_CR11) 2005; 80
ST Denomme-Brown (478_CR29) 2020; 193
O Ronce (478_CR84) 2007; 38
MA Teichert (478_CR93) 2017; 74
JM Travis (478_CR94) 2000; 3
E Revilla (478_CR82) 2008; 105
DM Corey (478_CR28) 1998; 125
A Narang (478_CR69) 2022; 15
CM Postlethwaite (478_CR80) 2013; 317
V Burte (478_CR17) 2023; 11
SC Burgess (478_CR15) 2022; 2022
V Salewski (478_CR86) 2007; 94
GS Betini (478_CR8) 2015; 6
YTK Lin (478_CR55) 2001; 71
T Vicsek (478_CR97) 2012; 517
S Duval (478_CR31) 2000; 56
GT Skalski (478_CR88) 2003; 161
L Furuya-Kanamori (478_CR37) 2018; 16
JA Sterne (478_CR91) 2001; 54
J Fattebert (478_CR33) 2015; 10
S Nakagawa (478_CR70) 2022; 13
JM Travis (478_CR95) 1999; 266
B Pernecker (478_CR78) 2021; 23
R Altwegg (478_CR3) 2000; 69
E Paradis (478_CR76) 1998; 67
S Chowdhury (478_CR22) 2021; 96
D Carr (478_CR20) 2007; 116
M Borenstein (478_CR10) 2021
RR Harman (478_CR41) 2020; 195
NC Stenseth (478_CR90) 1983
EA Fronhofer (478_CR35) 2017; 30
AM Rodrigues (478_CR83) 2014; 281
R Nathan (478_CR72) 2012
478_CR87
Y Bray (478_CR12) 2007; 273
H Cayuela (478_CR21) 2019; 88
KE Mabry (478_CR60) 2014; 95
N Jreidini (478_CR51) 2022; 12
478_CR81
X Lambin (478_CR53) 2001
WH Lowe (478_CR57) 2009; 90
GY Azandèmè-Hounmalon (478_CR4) 2014; 9
ER Morton (478_CR68) 2018; 99
DS Cohen (478_CR25) 1981; 12
R Joo (478_CR50) 2022; 10
K Beirinckx (478_CR9) 2006; 113
SW Pacala (478_CR75) 1982; 21
BR Addis (478_CR1) 2022; 200
R Altwegg (478_CR2) 2013; 19
VO Nams (478_CR71) 2005; 143
AE McKellar (478_CR65) 2015; 5
I Newton (478_CR73) 2006; 94
CP Lyman (478_CR59) 1963; 51
HJ Poethke (478_CR79) 2011; 282
M Holyoak (478_CR44) 2008; 105
SA Levin (478_CR54) 1974; 108
RA Duckworth (478_CR30) 2008; 172
(478_CR27) 1992
M Molina-Morales (478_CR67) 2012; 83
478_CR23
W Viechtbauer (478_CR98) 2010; 36
H Gu (478_CR40) 2007; 46
F Song (478_CR89) 2001; 24
M Niu (478_CR74) 2016; 72
JW Cahn (478_CR18) 1958; 28
H Brøseth (478_CR14) 2005; 42
R Calsbeek (478_CR19) 2009; 78
B Van Hezewijk (478_CR96) 2018; 20
M Baguette (478_CR6) 2011; 34
MA McPeek (478_CR64) 1992; 140
L Vignoli (478_CR99) 2012; 24
A Mishra (478_CR66) 2018; 127
AR McIntosh (478_CR63) 2022; 91
BW Brook (478_CR13) 2006; 87
WP Connor (478_CR26) 2013; 142
MD Taylor (478_CR92) 2013; 21
SY Jeong (478_CR47) 2022; 132
K Johst (478_CR49) 1997; 264
L Jiao (478_CR48) 2023; 37
References_xml – volume: 125
  start-page: 245
  issue: 3
  year: 1998
  ident: 478_CR28
  publication-title: J Gen Psychol
  doi: 10.1080/00221309809595548
  contributor:
    fullname: DM Corey
– volume: 13
  start-page: 4
  issue: 1
  year: 2022
  ident: 478_CR70
  publication-title: Methods Ecol Evol
  doi: 10.1111/2041-210X.13724
  contributor:
    fullname: S Nakagawa
– volume: 11
  start-page: 13
  issue: 1
  year: 2023
  ident: 478_CR17
  publication-title: Mov Ecol
  doi: 10.1186/s40462-023-00371-8
  contributor:
    fullname: V Burte
– volume: 78
  start-page: 617
  issue: 3
  year: 2009
  ident: 478_CR19
  publication-title: J Anim Ecol
  doi: 10.1111/j.1365-2656.2009.01527.x
  contributor:
    fullname: R Calsbeek
– volume: 38
  start-page: 231
  year: 2007
  ident: 478_CR84
  publication-title: Annu Rev Ecol Evol Syst
  doi: 10.1146/annurev.ecolsys.38.091206.095611
  contributor:
    fullname: O Ronce
– volume: 282
  start-page: 93
  issue: 1
  year: 2011
  ident: 478_CR79
  publication-title: J Theor Biol
  doi: 10.1016/j.jtbi.2011.05.012
  contributor:
    fullname: HJ Poethke
– volume: 90
  start-page: 1456
  issue: 6
  year: 2009
  ident: 478_CR57
  publication-title: Ecology
  doi: 10.1890/08-1903.1
  contributor:
    fullname: WH Lowe
– volume: 264
  start-page: 23
  issue: 1378
  year: 1997
  ident: 478_CR49
  publication-title: Proc R Soc Lond Ser B Biol Sci
  doi: 10.1098/rspb.1997.0004
  contributor:
    fullname: K Johst
– volume: 99
  start-page: 938
  issue: 4
  year: 2018
  ident: 478_CR68
  publication-title: Ecology
  doi: 10.1002/ecy.2172
  contributor:
    fullname: ER Morton
– ident: 478_CR23
  doi: 10.1016/B978-012323448-3/50015-5
– volume: 161
  start-page: 441
  issue: 3
  year: 2003
  ident: 478_CR88
  publication-title: Am Nat
  doi: 10.1086/367592
  contributor:
    fullname: GT Skalski
– volume: 83
  start-page: 858
  issue: 3
  year: 2002
  ident: 478_CR34
  publication-title: Ecology
  doi: 10.1890/0012-9658(2002)083[0858:CAFCON]2.0.CO;2
  contributor:
    fullname: MG Forero
– volume: 72
  start-page: 315
  issue: 2
  year: 2016
  ident: 478_CR74
  publication-title: Biometrics
  doi: 10.1111/biom.12454
  contributor:
    fullname: M Niu
– volume: 281
  start-page: 20141226
  issue: 1791
  year: 2014
  ident: 478_CR83
  publication-title: Proc R Soc B Biol Sci
  doi: 10.1098/rspb.2014.1226
  contributor:
    fullname: AM Rodrigues
– volume: 74
  start-page: 2153
  issue: 12
  year: 2017
  ident: 478_CR93
  publication-title: Can J Fish Aquat Sci
  doi: 10.1139/cjfas-2016-0047
  contributor:
    fullname: MA Teichert
– volume: 51
  start-page: 127
  issue: 2
  year: 1963
  ident: 478_CR59
  publication-title: Am Sci
  contributor:
    fullname: CP Lyman
– volume: 34
  start-page: 170
  issue: 1
  year: 2011
  ident: 478_CR6
  publication-title: Ecography
  doi: 10.1111/j.1600-0587.2010.06212.x
  contributor:
    fullname: M Baguette
– volume: 108
  start-page: 207
  issue: 960
  year: 1974
  ident: 478_CR54
  publication-title: Am Nat
  doi: 10.1086/282900
  contributor:
    fullname: SA Levin
– volume: 21
  start-page: 276
  issue: 3–4
  year: 2013
  ident: 478_CR92
  publication-title: Rev Fish Sci
  doi: 10.1080/10641262.2013.796813
  contributor:
    fullname: MD Taylor
– volume: 94
  start-page: 433
  issue: 3
  year: 2006
  ident: 478_CR73
  publication-title: Ardea
  contributor:
    fullname: I Newton
– volume: 83
  start-page: 671
  issue: 3
  year: 2012
  ident: 478_CR67
  publication-title: Anim Behav
  doi: 10.1016/j.anbehav.2011.12.011
  contributor:
    fullname: M Molina-Morales
– volume: 105
  start-page: 19060
  issue: 49
  year: 2008
  ident: 478_CR44
  publication-title: Proc Natl Acad Sci
  doi: 10.1073/pnas.0800483105
  contributor:
    fullname: M Holyoak
– volume: 80
  start-page: 205
  issue: 2
  year: 2005
  ident: 478_CR11
  publication-title: Biol Rev
  doi: 10.1017/S1464793104006645
  contributor:
    fullname: DE Bowler
– volume: 56
  start-page: 455
  issue: 2
  year: 2000
  ident: 478_CR31
  publication-title: Biometrics
  doi: 10.1111/j.0006-341X.2000.00455.x
  contributor:
    fullname: S Duval
– volume: 12
  start-page: 237
  issue: 2
  year: 1981
  ident: 478_CR25
  publication-title: J Math Biol
  doi: 10.1007/BF00276132
  contributor:
    fullname: DS Cohen
– volume: 46
  start-page: 231
  issue: 3
  year: 2007
  ident: 478_CR40
  publication-title: Aust J Entomol
  doi: 10.1111/j.1440-6055.2007.00594.x
  contributor:
    fullname: H Gu
– volume: 71
  start-page: 245
  issue: 2
  year: 2001
  ident: 478_CR55
  publication-title: Ecol Monogr
  doi: 10.1890/0012-9615(2001)071[0245:TIOHQO]2.0.CO;2
  contributor:
    fullname: YTK Lin
– volume: 105
  start-page: 19120
  issue: 49
  year: 2008
  ident: 478_CR82
  publication-title: Proc Natl Acad Sci
  doi: 10.1073/pnas.0801725105
  contributor:
    fullname: E Revilla
– ident: 478_CR45
  doi: 10.2307/2422936
– volume: 142
  start-page: 1453
  issue: 5
  year: 2013
  ident: 478_CR26
  publication-title: Trans Am Fish Soc
  doi: 10.1080/00028487.2013.806953
  contributor:
    fullname: WP Connor
– volume: 36
  start-page: 1
  year: 2010
  ident: 478_CR98
  publication-title: J Stat Softw
  doi: 10.18637/jss.v036.i03
  contributor:
    fullname: W Viechtbauer
– volume: 143
  start-page: 179
  issue: 2
  year: 2005
  ident: 478_CR71
  publication-title: Oecologia
  doi: 10.1007/s00442-004-1804-z
  contributor:
    fullname: VO Nams
– volume: 57
  start-page: 322
  issue: 3
  year: 1983
  ident: 478_CR52
  publication-title: Oecologia
  doi: 10.1007/BF00377175
  contributor:
    fullname: PM Kareiva
– volume: 113
  start-page: 539
  issue: 3
  year: 2006
  ident: 478_CR9
  publication-title: Oikos
  doi: 10.1111/j.2006.0030-1299.14391.x
  contributor:
    fullname: K Beirinckx
– volume: 327
  start-page: 557
  issue: 7414
  year: 2003
  ident: 478_CR43
  publication-title: Bmj
  doi: 10.1136/bmj.327.7414.557
  contributor:
    fullname: JP Higgins
– volume: 21
  start-page: 92
  issue: 1
  year: 1982
  ident: 478_CR75
  publication-title: Theor Popul Biol
  doi: 10.1016/0040-5809(82)90008-9
  contributor:
    fullname: SW Pacala
– start-page: 63
  volume-title: The ecology of animal movement
  year: 1983
  ident: 478_CR90
  contributor:
    fullname: NC Stenseth
– volume: 2
  start-page: 1
  issue: 1
  year: 2014
  ident: 478_CR38
  publication-title: Mov Ecol
  doi: 10.1186/s40462-014-0020-7
  contributor:
    fullname: L Giuggioli
– volume: 12
  issue: 10
  year: 2022
  ident: 478_CR51
  publication-title: Ecol Evol
  doi: 10.1002/ece3.9368
  contributor:
    fullname: N Jreidini
– volume: 28
  start-page: 403
  issue: 3
  year: 2005
  ident: 478_CR61
  publication-title: Ecography
  doi: 10.1111/j.0906-7590.2005.04073.x
  contributor:
    fullname: E Matthysen
– volume: 193
  start-page: 903
  issue: 4
  year: 2020
  ident: 478_CR29
  publication-title: Oecologia
  doi: 10.1007/s00442-020-04728-3
  contributor:
    fullname: ST Denomme-Brown
– volume: 140
  start-page: 1010
  issue: 6
  year: 1992
  ident: 478_CR64
  publication-title: Am Nat
  doi: 10.1086/285453
  contributor:
    fullname: MA McPeek
– ident: 478_CR46
  doi: 10.1016/B978-012323445-2/50015-8
– ident: 478_CR42
  doi: 10.1093/oso/9780195143850.003.0003
– volume: 37
  start-page: 732
  issue: 3
  year: 2023
  ident: 478_CR48
  publication-title: Funct Ecol
  doi: 10.1111/1365-2435.14252
  contributor:
    fullname: L Jiao
– volume: 195
  start-page: 851
  issue: 5
  year: 2020
  ident: 478_CR41
  publication-title: Am Nat
  doi: 10.1086/708156
  contributor:
    fullname: RR Harman
– ident: 478_CR87
– volume: 87
  start-page: 1445
  issue: 6
  year: 2006
  ident: 478_CR13
  publication-title: Ecology
  doi: 10.1890/0012-9658(2006)87[1445:SOEFDD]2.0.CO;2
  contributor:
    fullname: BW Brook
– volume: 104
  start-page: 783
  issue: 4
  year: 2023
  ident: 478_CR85
  publication-title: J Mammal
  doi: 10.1093/jmammal/gyac117
  contributor:
    fullname: KL Rutherford
– volume: 15
  start-page: 81
  issue: 1
  year: 2022
  ident: 478_CR69
  publication-title: Thyroid Res
  contributor:
    fullname: A Narang
– volume: 517
  start-page: 71
  issue: 3–4
  year: 2012
  ident: 478_CR97
  publication-title: Phys Rep
  doi: 10.1016/j.physrep.2012.03.004
  contributor:
    fullname: T Vicsek
– volume: 172
  start-page: S4
  issue: S1
  year: 2008
  ident: 478_CR30
  publication-title: Am Nat
  doi: 10.1086/588289
  contributor:
    fullname: RA Duckworth
– volume: 3
  start-page: 410
  issue: 4
  year: 2009
  ident: 478_CR56
  publication-title: J Biol Dyn
  doi: 10.1080/17513750802491849
  contributor:
    fullname: Y Lou
– volume: 88
  start-page: 164
  issue: 1
  year: 2019
  ident: 478_CR21
  publication-title: J Anim Ecol
  doi: 10.1111/1365-2656.12906
  contributor:
    fullname: H Cayuela
– volume: 54
  start-page: 1046
  issue: 10
  year: 2001
  ident: 478_CR91
  publication-title: J Clin Epidemiol
  doi: 10.1016/S0895-4356(01)00377-8
  contributor:
    fullname: JA Sterne
– volume: 3
  start-page: 163
  issue: 3
  year: 2000
  ident: 478_CR94
  publication-title: Ecol Lett
  doi: 10.1046/j.1461-0248.2000.00141.x
  contributor:
    fullname: JM Travis
– volume: 24
  start-page: 244
  issue: 3
  year: 2012
  ident: 478_CR99
  publication-title: Ethol Ecol Evol
  doi: 10.1080/03949370.2011.643922
  contributor:
    fullname: L Vignoli
– volume-title: Introduction to meta-analysis
  year: 2021
  ident: 478_CR10
  doi: 10.1002/9781119558378
  contributor:
    fullname: M Borenstein
– volume: 20
  start-page: 433
  issue: 3
  year: 2018
  ident: 478_CR96
  publication-title: Agric For Entomol
  doi: 10.1111/afe.12275
  contributor:
    fullname: B Van Hezewijk
– volume: 100
  issue: 9
  year: 2019
  ident: 478_CR100
  publication-title: Ecology
  doi: 10.1002/ecy.2792
  contributor:
    fullname: S Wang
– volume: 10
  start-page: 20140287
  issue: 6
  year: 2014
  ident: 478_CR7
  publication-title: Biol Let
  doi: 10.1098/rsbl.2014.0287
  contributor:
    fullname: CB Baines
– volume-title: Meta-analysis for explanation: A casebook
  year: 1992
  ident: 478_CR27
– volume: 273
  start-page: 426
  issue: 4
  year: 2007
  ident: 478_CR12
  publication-title: J Zool
  doi: 10.1111/j.1469-7998.2007.00348.x
  contributor:
    fullname: Y Bray
– volume: 96
  start-page: 1462
  issue: 4
  year: 2021
  ident: 478_CR22
  publication-title: Biol Rev
  doi: 10.1111/brv.12714
  contributor:
    fullname: S Chowdhury
– start-page: 26
  volume-title: Dispersal ecology and evolution
  year: 2001
  ident: 478_CR53
  contributor:
    fullname: X Lambin
– volume: 127
  start-page: 1596
  issue: 11
  year: 2018
  ident: 478_CR66
  publication-title: Oikos
  doi: 10.1111/oik.04902
  contributor:
    fullname: A Mishra
– volume: 42
  start-page: 453
  issue: 3
  year: 2005
  ident: 478_CR14
  publication-title: J Appl Ecol
  doi: 10.1111/j.1365-2664.2005.01031.x
  contributor:
    fullname: H Brøseth
– start-page: 187
  volume-title: Dispersal ecology and evolution
  year: 2012
  ident: 478_CR72
  contributor:
    fullname: R Nathan
– ident: 478_CR81
– volume: 200
  start-page: 802
  issue: 6
  year: 2022
  ident: 478_CR1
  publication-title: Am Nat
  doi: 10.1086/721763
  contributor:
    fullname: BR Addis
– volume: 16
  start-page: 195
  issue: 4
  year: 2018
  ident: 478_CR37
  publication-title: JBI Evid Implement
  contributor:
    fullname: L Furuya-Kanamori
– volume: 10
  issue: 4
  year: 2015
  ident: 478_CR33
  publication-title: PLoS ONE
  doi: 10.1371/journal.pone.0122355
  contributor:
    fullname: J Fattebert
– volume: 93
  start-page: 1378
  issue: 6
  year: 2012
  ident: 478_CR16
  publication-title: Ecology
  doi: 10.1890/11-1656.1
  contributor:
    fullname: SC Burgess
– volume: 23
  start-page: 1393
  year: 2021
  ident: 478_CR78
  publication-title: Biol Invasions
  doi: 10.1007/s10530-020-02446-8
  contributor:
    fullname: B Pernecker
– volume: 12
  start-page: 197
  issue: 3
  year: 2009
  ident: 478_CR24
  publication-title: Ecol Lett
  doi: 10.1111/j.1461-0248.2008.01267.x
  contributor:
    fullname: J Clobert
– volume: 5
  start-page: 5892
  issue: 24
  year: 2015
  ident: 478_CR65
  publication-title: Ecol Evol
  doi: 10.1002/ece3.1854
  contributor:
    fullname: AE McKellar
– volume: 22
  start-page: 1117
  year: 2007
  ident: 478_CR5
  publication-title: Landscape Ecol
  doi: 10.1007/s10980-007-9108-4
  contributor:
    fullname: M Baguette
– volume: 315
  start-page: 629
  issue: 7109
  year: 1997
  ident: 478_CR32
  publication-title: BMJ
  doi: 10.1136/bmj.315.7109.629
  contributor:
    fullname: M Egger
– volume: 69
  start-page: 762
  issue: 5
  year: 2000
  ident: 478_CR3
  publication-title: J Anim Ecol
  doi: 10.1046/j.1365-2656.2000.00431.x
  contributor:
    fullname: R Altwegg
– volume: 19
  start-page: 60
  issue: 1
  year: 2013
  ident: 478_CR2
  publication-title: Divers Distribut
  doi: 10.1111/j.1472-4642.2012.00943.x
  contributor:
    fullname: R Altwegg
– volume: 30
  start-page: 2165
  issue: 12
  year: 2017
  ident: 478_CR35
  publication-title: J Evol Biol
  doi: 10.1111/jeb.13182
  contributor:
    fullname: EA Fronhofer
– start-page: 3
  volume-title: Dispersal Ecology and Evolution
  year: 2012
  ident: 478_CR62
  doi: 10.1093/acprof:oso/9780199608898.003.0001
  contributor:
    fullname: E Matthysen
– volume: 94
  start-page: 268
  issue: 4
  year: 2007
  ident: 478_CR86
  publication-title: Naturwissenschaften
  doi: 10.1007/s00114-006-0186-y
  contributor:
    fullname: V Salewski
– volume: 9
  start-page: e95071
  issue: 4
  year: 2014
  ident: 478_CR4
  publication-title: PloS one
  doi: 10.1371/journal.pone.0095071
  contributor:
    fullname: GY Azandèmè-Hounmalon
– volume: 10
  start-page: 1
  issue: 1
  year: 2022
  ident: 478_CR50
  publication-title: Mov Ecol
  doi: 10.1186/s40462-022-00322-9
  contributor:
    fullname: R Joo
– volume: 95
  start-page: 981
  issue: 5
  year: 2014
  ident: 478_CR60
  publication-title: J Mammal
  doi: 10.1644/14-MAMM-A-008
  contributor:
    fullname: KE Mabry
– volume: 279
  start-page: 144
  issue: 1726
  year: 2012
  ident: 478_CR77
  publication-title: Proc R Soc B Biol Sci
  doi: 10.1098/rspb.2011.0673
  contributor:
    fullname: H Pärn
– volume: 266
  start-page: 1837
  issue: 1431
  year: 1999
  ident: 478_CR95
  publication-title: Proc R Soc Lond Ser B Biol Sci
  doi: 10.1098/rspb.1999.0854
  contributor:
    fullname: JM Travis
– volume: 132
  start-page: 459
  issue: 1
  year: 2022
  ident: 478_CR47
  publication-title: J Appl Microbiol
  doi: 10.1111/jam.15194
  contributor:
    fullname: SY Jeong
– volume: 9
  issue: 7
  year: 2014
  ident: 478_CR39
  publication-title: PLoS ONE
  doi: 10.1371/journal.pone.0102880
  contributor:
    fullname: E Gonzalez-Bernal
– volume: 67
  start-page: 518
  issue: 4
  year: 1998
  ident: 478_CR76
  publication-title: J Anim Ecol
  doi: 10.1046/j.1365-2656.1998.00215.x
  contributor:
    fullname: E Paradis
– volume: 6
  start-page: 1
  issue: 12
  year: 2015
  ident: 478_CR8
  publication-title: Ecosphere
  doi: 10.1890/ES15-00257.1
  contributor:
    fullname: GS Betini
– volume: 28
  start-page: 258
  issue: 2
  year: 1958
  ident: 478_CR18
  publication-title: J Chem Phys
  doi: 10.1063/1.1744102
  contributor:
    fullname: JW Cahn
– volume: 2022
  issue: 3
  year: 2022
  ident: 478_CR15
  publication-title: Oikos
  doi: 10.1111/oik.08896
  contributor:
    fullname: SC Burgess
– volume: 96
  start-page: 494
  issue: 3
  year: 2015
  ident: 478_CR58
  publication-title: J Mammal
  doi: 10.1093/jmammal/gyv054
  contributor:
    fullname: CL Lutz
– volume: 317
  start-page: 175
  year: 2013
  ident: 478_CR80
  publication-title: J Theor Biol
  doi: 10.1016/j.jtbi.2012.10.007
  contributor:
    fullname: CM Postlethwaite
– volume: 116
  start-page: 629
  issue: 4
  year: 2007
  ident: 478_CR20
  publication-title: Oikos
  contributor:
    fullname: D Carr
– volume: 160
  start-page: 1035
  issue: 4
  year: 2019
  ident: 478_CR36
  publication-title: J Ornithol
  doi: 10.1007/s10336-019-01674-7
  contributor:
    fullname: D Fuentes
– volume: 91
  start-page: 1582
  issue: 8
  year: 2022
  ident: 478_CR63
  publication-title: J Anim Ecol
  doi: 10.1111/1365-2656.13696
  contributor:
    fullname: AR McIntosh
– volume: 24
  start-page: 126
  issue: 2
  year: 2001
  ident: 478_CR89
  publication-title: Eval Health Prof
  doi: 10.1177/016327870102400203
  contributor:
    fullname: F Song
SSID ssj0000970278
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Snippet 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...
Abstract The relationship between animal dispersal and conspecific density has been explored in various study systems but results in terms of both the...
Abstract The relationship between animal dispersal and conspecific density has been explored in various study systems but results in terms of both the...
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crossref
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Open Access Repository
Aggregation Database
Index Database
StartPage 39
SubjectTerms Analysis
Birds
Comment
Conspecific density
Data methodology
Empirical observations
Fishes
Heterogeneity
Meta-analysis
Migration
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Title Study methodology impacts density-dependent dispersal observations: a systematic review
URI https://www.ncbi.nlm.nih.gov/pubmed/38773669
https://www.proquest.com/docview/3058637230
https://pubmed.ncbi.nlm.nih.gov/PMC11107046
https://doaj.org/article/3b3fff3b7c0a4deeb00372d7a52e46d7
Volume 12
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