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...
Saved in:
Published in | Movement ecology Vol. 12; no. 1; p. 39 |
---|---|
Main Authors | , |
Format | Journal Article |
Language | English |
Published |
England
BioMed Central Ltd
21.05.2024
BioMed Central BMC |
Subjects | |
Online Access | Get full text |
Cover
Loading…
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 |
Author_xml | – sequence: 1 givenname: Nathalie surname: Jreidini fullname: Jreidini, Nathalie email: nathalie.jreidini@gmail.com organization: Ecomuseum Zoo, Sainte-Anne-de-Bellevue, Montreal, QC, Canada. nathalie.jreidini@gmail.com – sequence: 2 givenname: David M surname: Green fullname: Green, David M organization: Redpath Museum, McGill University, Montreal, QC, Canada |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/38773669$$D View this record in MEDLINE/PubMed |
BookMark | eNptUk1v1DAQtVAR_aB_gAOKxIVLip1x7JgLqioKlSpxAMTRcuzJ1lUSBzu7KP8eb1OqroR9sGfmzfMb-Z2SozGMSMgbRi8Ya8SHxCkXVUkrXlLKZVOKF-SkojUrQQEcPbsfk_OU7mleStJKNq_IMTRSghDqhPz6Pm_dUgw43wUX-rBZCj9Mxs6pcDgmPy-lwwnHHMyF82nCmExfhDZh3JnZhzF9LEyRljTjkGNbRNx5_POavOxMn_D88TwjP68__7j6Wt5--3JzdXlbWt7IuQRpFW2VacBRqVpm246DaWvKWutYTdFaEBVvINcVx4455bh1RtUNc6AqOCM3K68L5l5P0Q8mLjoYrx8SIW60iVlWjxpa6LoOWmmp4Q6xpRRk5aSpK-TCycz1aeWatu2AzuaRo-kPSA8ro7_Tm7DTjDEq83dkhvePDDH83mKa9eCTxb43I4Zt0kDrRuRHgWbouxW6MVmbH7uQKe0eri-l4lIIgP14F_9B5e1w8DY7ovM5f9BQrQ02hpQidk_yGdV74-jVODobRz8YR-9lv30--FPLP5vAXwKWwUU |
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 |
ContentType | Journal Article |
Copyright | 2024. The Author(s). COPYRIGHT 2024 BioMed Central Ltd. The Author(s) 2024 |
Copyright_xml | – notice: 2024. The Author(s). – notice: COPYRIGHT 2024 BioMed Central Ltd. – notice: The Author(s) 2024 |
DBID | NPM AAYXX CITATION 7X8 5PM DOA |
DOI | 10.1186/s40462-024-00478-6 |
DatabaseName | PubMed CrossRef MEDLINE - Academic PubMed Central (Full Participant titles) Directory of Open Access Journals |
DatabaseTitle | PubMed CrossRef MEDLINE - Academic |
DatabaseTitleList | CrossRef PubMed MEDLINE - Academic |
Database_xml | – sequence: 1 dbid: DOA name: Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Ecology |
EISSN | 2051-3933 |
EndPage | 39 |
ExternalDocumentID | oai_doaj_org_article_3b3fff3b7c0a4deeb00372d7a52e46d7 A794766332 10_1186_s40462_024_00478_6 38773669 |
Genre | Letter Correspondence |
GroupedDBID | -A0 0R~ 2XV 5VS 7XC 8FE 8FH AAFWJ AAHBH AAJSJ ACGFS ACRMQ ADBBV ADINQ ADRAZ ADUKV AFKRA AFPKN AHBYD AHYZX ALMA_UNASSIGNED_HOLDINGS AMKLP AOIJS ASPBG ATCPS BAWUL BBNVY BCNDV BENPR BFQNJ BHPHI BMC C24 C6C CCPQU DIK EBLON EBS ECGQY EYRJQ GROUPED_DOAJ HCIFZ HYE IAO IEP IHR ITC KQ8 LK8 M7P M~E NPM OK1 PATMY PGMZT PIMPY PROAC PYCSY RBZ ROL RPM RSV SOJ AAYXX CITATION ABVAZ AFGXO AFNRJ 7X8 5PM |
ID | FETCH-LOGICAL-c487t-37c90b9a83d079b1cbf43ab501bcd150ecc3624833d094ef1d9d4cda9581d3923 |
IEDL.DBID | RPM |
ISSN | 2051-3933 |
IngestDate | Tue Oct 22 15:15:02 EDT 2024 Tue Sep 17 21:28:46 EDT 2024 Sat Oct 26 05:10:04 EDT 2024 Wed May 29 17:41:12 EDT 2024 Tue Nov 12 23:41:04 EST 2024 Thu Sep 12 19:53:03 EDT 2024 Sat Nov 02 12:26:29 EDT 2024 |
IsDoiOpenAccess | true |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 1 |
Keywords | Heterogeneity Data methodology Empirical observations Migration Conspecific density Meta-analysis |
Language | English |
License | 2024. The Author(s). Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c487t-37c90b9a83d079b1cbf43ab501bcd150ecc3624833d094ef1d9d4cda9581d3923 |
Notes | SourceType-Other Sources-1 content type line 63 ObjectType-Correspondence-1 |
OpenAccessLink | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11107046/ |
PMID | 38773669 |
PQID | 3058637230 |
PQPubID | 23479 |
PageCount | 1 |
ParticipantIDs | doaj_primary_oai_doaj_org_article_3b3fff3b7c0a4deeb00372d7a52e46d7 pubmedcentral_primary_oai_pubmedcentral_nih_gov_11107046 proquest_miscellaneous_3058637230 gale_infotracmisc_A794766332 gale_infotracacademiconefile_A794766332 crossref_primary_10_1186_s40462_024_00478_6 pubmed_primary_38773669 |
PublicationCentury | 2000 |
PublicationDate | 2024-05-21 |
PublicationDateYYYYMMDD | 2024-05-21 |
PublicationDate_xml | – month: 05 year: 2024 text: 2024-05-21 day: 21 |
PublicationDecade | 2020 |
PublicationPlace | England |
PublicationPlace_xml | – name: England – name: London |
PublicationTitle | Movement ecology |
PublicationTitleAlternate | Mov Ecol |
PublicationYear | 2024 |
Publisher | BioMed Central Ltd BioMed Central BMC |
Publisher_xml | – name: BioMed Central Ltd – name: BioMed Central – name: BMC |
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 |
Score | 2.313251 |
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... |
SourceID | doaj pubmedcentral proquest gale crossref pubmed |
SourceType | Open Website Open Access Repository Aggregation Database Index Database |
StartPage | 39 |
SubjectTerms | Analysis Birds Comment Conspecific density Data methodology Empirical observations Fishes Heterogeneity Meta-analysis Migration |
SummonAdditionalLinks | – databaseName: Directory of Open Access Journals dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lb9QwELZQpUpcEOUZKJWRkDggq0ns-NFbW7WqkOBERW-Wn6KXLCLpYf89M_bushEHLlxjK3Fm7JlvkplvCPnQOyWECpkBdvBMgMNmLkvHkjHRZdd3WWO985ev8uZWfL4b7vZafWFOWKUHroI75Z7nnLlXoXUiJmx1w1UflRv6JGSsdeSt2Qumig02Cn-pbatktDydBJZhMnBJDBkSNZMLT1QI-_82y3t-aZkzueeErp-SJxv0SM_rqo_IozQ-I4dXhXl6_Zx8x6zANa1docs1WqsgJxoxUX1es23T25nGeyQJn-B2K7_7NDudUUf_sDvTWtnygtxeX327vGGbzgksQAAyg9UIpvXGaR5bZXwXfBbc-aHtfIgAAUFv4LiE5jBuRMpdNFGE6MwA8BUQE39JDsbVmF4T2kPAoUMApBVbmJJ9NC76KL1MQYbkGvJpK0X7sxJk2BJYaGmrzC3I3BaZW9mQCxT0biaSW5cLoHK7Ubn9l8ob8hHVZPEIgi6C21QSwIKRzMqeg41RgKR435DjxUw4OmEx_H6raItDmG82ptXDZMEKagkP5W1DXlXF79bMtVJcStMQvdgSi5dajoz3Pwpzd4fRNsjkzf8Qw1vyuC_beWB9d0wO5l8P6R0gpNmflMPwG72PEYk priority: 102 providerName: Directory of Open Access Journals |
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 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1La9wwEBZJSqGX0nfdposLhR6KsrYl69HbJmwICwmhbWhuQs90ofGG2Dnsv-9IXm_X9NaTwZJteWY0D2nmE0KfKs0p5TZg8B0MpmCwsQ5MYy-l00FXZRCx3vn8gp1d0cV1fb2H2FALk5L2rVkeNb9vj5rlr5RbeXdrp0Oe2PTy_KSMQUvcm9xH-yChOzF60r-Sx-20oUJGsGlLYwkmBnOEIzqiwGxkhRJY_78qeccmjfMldwzQ6TP0dOM55rN-hM_Rnm9eoMfzhDq9fol-xozAdd6fCJ3u5X0FZJu7mKTerfFw4G2Xu2UECG_hdSuzXZZtv-Y6_4vsnPdVLa_Q1en8x8kZ3pyagC0EHx1oDCsLI7UgruDSlNYESrSpi9JYB-4f8AyMFhUE2iX1oXTSUeu0rMF1BW-JvEYHzarxb1FeQbAhrAUvyxXQJRgntTOOGeYts15n6MtARXXXg2OoFFQIpnqaK6C5SjRXLEPHkdDbnhHYOt1Y3d-oDXsVMSSEQAy3habOx5ONCK8c13XlKXM8Q58jm1ScfsALqzdVBDDgCGSlZqBfOHhRpMrQ4agnTBs7av44MFrFpphr1vjVQ6tAAwoGHyVFht70jN-OmQjOCWMyQ2IkEqOfGreAECfU7kFo3_3_o-_RkyoJcY2r8hAddPcP_gP4RJ2ZoEez2eL7Aq7H84vLb5O0tjBJE-MPFwgTiw |
link.rule.ids | 230,315,730,783,787,867,888,2109,27936,27937,33757,53804,53806 |
linkProvider | National Library of Medicine |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lb9QwEB6VIgQXxLMECgQJiQNyN4kdP7iVqtUC3YpDK3qz_IhhJZqtmu1h_z1jZ7NsxI1rxkmcGc8rnvkM8L4ygjHhAsHYwRKGDpuYwA1plPImmKoMMvY7z8749IJ9vawvd4APvTCpaN_Z-UH7--qgnf9KtZXXV24y1IlNvs-Oypi0xL3JO3AXFbZgW1l6ssBKxA21oUdG8knHYhMmQYdEIj6iJHzkhxJc_79GecsrjSsmt1zQySN4uI4d88N-jo9hp2mfwL3jhDu9ego_Yk3gKu_PhE7X8r4Hsst9LFNfrshw5O0y9_MIEd7h4xZ282O2-5Sb_C-2c973tTyDi5Pj86MpWZ-bQBymH0u0GU4VVhlJfSGULZ0NjBpbF6V1HgNAlBq6LSYp0hVrQumVZ84bVWPwivESfQ677aJtXkBeYbohncM4yxc4JFivjLeeW9447hqTwceBi_q6h8fQKa2QXPc818hznXiueQafI6M3IyO0dbqwuPmp1wLW1NIQArXCFYb5Jp5tREXlhamrhnEvMvgQxaSjAqIsnFn3EeCEI5SVPkQLIzCOolUG-6ORqDhuRH43CFpHUqw2a5vFbafRBkqOL6VFBnu94DdzplIIyrnKQI6WxOijxhRcxgm3e1i2L___1rdwf3o-O9WnX86-vYIHVVrQNanKfdhd3tw2rzFCWto3SR3-APxQEsY |
linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lb9QwELagCNQL4k2gQJCQOCB3k9jxg1spXZVHqx6o6M3yE1Zqs6smPey_Z-wky0bcuGacxJnxvOKZzwi9qzSnlNuAIXYwmILDxjowjb2UTgddlUHEfueTU3Z8Tr9e1BdDVWU7lFU21iz2m8ur_WbxO9VWrq7sbKwTm52dHJYxaYl7kysXZrfRHVDagm1l6skKSx431cY-GcFmLY2NmBicEo4YiQKziS9KkP3_GuYtzzStmtxyQ_MH6P4QP-YH_Twfolu-eYTuHiXs6fVj9DPWBa7z_lzodC3v-yDb3MVS9W6Nx2Nvu9wtIkx4C49bms3P2fZjrvO_-M5539vyBJ3Pj34cHuPh7ARsIQXpwG5YWRipBXEFl6a0JlCiTV2UxjoIAkFy4LqoIECX1IfSSUet07KGABZiJvIU7TTLxj9HeQUph7AWYi1XwJBgnNTOOGaYt8x6naEPIxfVqofIUCm1EEz1PFfAc5V4rliGPkVGb0ZGeOt0YXn9Sw1CVsSQEAIx3BaaOh_PNyK8clzXlafM8Qy9j2JSUQlBFlYPvQQw4QhnpQ7AynCIpUiVob3JSFAeOyG_HQWtIilWnDV-edMqsIOCwUtJkaFnveA3cyaCc8KYzJCYLInJR00psJQTdve4dF_8_61v0L2zz3P1_cvpt5dot0rrucZVuYd2uusb_wqCpM68TtrwB9ryE9k |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Study+methodology+impacts+density-dependent+dispersal+observations%3A+a+systematic+review&rft.jtitle=Movement+ecology&rft.au=Nathalie+Jreidini&rft.au=David+M.+Green&rft.date=2024-05-21&rft.pub=BMC&rft.eissn=2051-3933&rft.volume=12&rft.issue=1&rft.spage=1&rft.epage=19&rft_id=info:doi/10.1186%2Fs40462-024-00478-6&rft.externalDBID=DOA&rft.externalDocID=oai_doaj_org_article_3b3fff3b7c0a4deeb00372d7a52e46d7 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2051-3933&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2051-3933&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2051-3933&client=summon |