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. 2018 Jun 28;11(9):1656–1670. doi: 10.1111/eva.12657

Table 3.

Results and cline parameters for best fitting model from hzar analyses for each marker type and year

Marker and year AICc Centre estimates (km) Width estimates (km) Best model (scaling, tails)
ML 2LL low–high ML 2LL low–high
Microsatellites
2000 24.42 1609a 1,531–1,675 619abc 411–947 Fixed scaling, neither tail
2002 22.78 1544abc 1,436–1,551 43d 21–401 No scaling, mirror tails
2007 6.53 1356cde 1,252–1,448 694abcd 393–955 Fixed scaling, neither tail
2015 7.92 1244e 1,178–1,310 708bc 562–865 Fixed scaling, neither tail
COI
2000 18.61 1522ab 1,467–1,574 481cd 370–638 Fixed scaling, neither tail
2002 56.38 1491bc 1,438–1,523 395cd 91–606 Fixed scaling, mirror tails
2007 91.43 1404bcd 1,333–1,482 1100a 868–1,387 Fixed scaling, mirror tails
2015 32.04 1230e 1,168–1,298 849ab 705–1,037 Fixed scaling, neither tail
Prediction (2014) 10.38 936f 766–1,047 828abcd 400–1,294 No scaling, right tail only
SNP
Q‐value 53.77 1389d 1,355–1,418 925ab 830–1,052 No scaling, mirror tails
Allele frequency* 1374cde 1,272–1,463 1006ab 701–1,442

Maximum‐likelihood (ML) cline centre and width are provided with their two log‐likelihood (2LL) low and high support limits. Significant differences (based on 2LL high and low) are denoted by different letters, where overlapping cline centre and width estimates represent clines that are coincident and concordant, respectively. For single nucleotide polymorphisms (SNPs), mean cline parameters are provided based on clines for all 96 SNPs. Models for SNPs and microsatellites were weighted by effective number of alleles (see Section 2).

*Mean of all SNP allele frequency models.