Table 2 Open in new tab Parameter...

Model

Parameters

La Mancha 2006

La Mancha 2007

Puerto Morelos 2006

Puerto Morelos 2007

Puente la Amistad 2014

Palo Verde 2014

Palo Verde 2015

Horizontes 2015

Visitation

Intercept (a₁), log odds

1.28 ± 0.26

0.06 ± 0.19

−0.53 ± 0.31

1.96 ± 0.79

0.01 ± 1.19

–

3.16 ± 1.04

2.69 ± 0.52

UBA (b_{11}), \log odds \times {\bar{\bar{z}}}^{- 1}

1.64 ± 1.27

0.79 ± 0.88

0.89 ± 0.79

–0.87 ± 1.92

6.08 ± 2.50

–

4.82 ± 3.57

1.95 ± 2.62

GA (b₁₂),

\log odds \times {\bar{\bar{z}}}^{- 1}

1.79 ± 0.98

0.13 ± 0.53

2.09 ± 0.77

0.56 ± 2.79

–3.34 ± 2.89

–

–0.18 ± 3.40

–2.68 ± 3.31

Height (b₁₃),

\log odds \times {\bar{\bar{z}}}^{- 1}

8.84 ± 3.00

–

2.61 ± 2.12

–

UBA:GA,

\log odds \times {\bar{\bar{z}}}^{- 1}

–

–18.6 ± 11.7

–

GA:Height,

\log odds \times {\bar{\bar{z}}}^{- 1}

–40.1 ± 18.5

–

R²

11%

12%

–

# parameters

–

∆AIC

3.4

–2.7

13.0

–3.5

20.9

–

–0.2

–2.5

Pollen (P_F)

Intercept (a₂), log P_F

3.06 ± 0.12

3.09 ± 0.19

1.22 ± 0.54

0.46 ± 0.34

2.02 ± 0.63

2.88 ± 0.23

2.85 ± 0.17

3.74 ± 0.21

UBA (b₂₁),

\log P_{F} \times {\bar{\bar{z}}}^{- 1}

1.30 ± 0.49

0.42 ± 1.01

0.60 ± 1.20

2.97 ± 1.21

–4.58 ± 1.50

1.80 ± 1.02

2.17 ± 0.80

2.06 ± 0.84

GA (b₂₂),

\log P_{F} \times {\bar{\bar{z}}}^{- 1}

–0.47 ± 0.40

–0.38 ± 0.66

–0.56 ± 1.34

–3.15 ± 1.70

3.00 ± 2.81

–2.40 ± 1.07

0.27 ± 0.91

1.38 ± 0.92

GSD (b₂₃),

\log P_{F} \times {\bar{\bar{z}}}^{- 1}

–0.39 ± 0.54

–1.27 ± 1.52

–2.04 ± 1.86

5.73 ± 2.79

–6.90 ± 2.50

–1.50 ± 1.43

–1.75 ± 0.95

–0.90 ± 0.93

Height (b₂₄),

\log P_{F} \times {\bar{\bar{z}}}^{- 1}

–0.12 ± 1.88

–

UBA:GA,

\log P_{F} \times {\bar{\bar{z}}}^{- 1}

–

6.86 ± 3.94

–

UBA:GSD,

\log P_{F} \times {\bar{\bar{z}}}^{- 1}

–

–22.3 ± 9.31

–

–11.2 ± 4.69

UBA:Height,

\log P_{F} \times {\bar{\bar{z}}}^{- 1}

32.0 ± 8.67

–

GA:GSD,

\log P_{F} \times {\bar{\bar{z}}}^{- 1}

4.65 ± 2.37

–

GSD:Height,

\log P_{F} \times {\bar{\bar{z}}}^{- 1}

54.8 ± 16.2

–

R²

# parameters

∆AIC

4.1

–4.9

–3.3

7.5

5.8

–1.5

4.8

6.2

Pollen (P_B)

Intercept (a₃), log P_B

3.45 ± 0.13

3.31 ± 0.14

1.42 ± 0.3

1.83 ± 0.25

1.62 ± 0.48

2.42 ± 0.21

2.38 ± 0.24

3.48 ± 0.17

UBA (b₃₁),

\log P_{B} \times {\bar{\bar{z}}}^{- 1}

–0.24 ± 0.54

0.09 ± 0.96

0.78 ± 0.77

–1.14 ± 0.94

–0.86 ± 1.03

0.06 ± 1.69

0.59 ± 1.38

–0.41 ± 0.98

GA (b₃₂),

\log P_{B} \times {\bar{\bar{z}}}^{- 1}

–0.03 ± 0.45

0.55 ± 0.49

0.01 ± 0.75

4.33 ± 1.61

–1.13 ± 1.62

1.79 ± 1.85

–0.37 ± 1.96

–0.74 ± 1.32

GSD (b₃₃),

\log P_{B} \times {\bar{\bar{z}}}^{- 1}

0.04 ± 0.69

–0.5 ± 1.4

1.37 ± 1.21

1.43 ± 1.99

6.03 ± 1.68

0.29 ± 1.79

3.01 ± 1.81

2.89 ± 1.30

ASD (b₃₄),

\log P_{B} \times {\bar{\bar{z}}}^{- 1}

–0.53 ± 0.29

0.18 ± 0.27

–0.49 ± 1.08

–1.18 ± 0.98

0.07 ± 0.55

–1.22 ± 1.29

0.52 ± 1.02

–1.07 ± 0.51

Height (b₃₅),

\log P_{B} \times {\bar{\bar{z}}}^{- 1}

–

–2.22 ± 1.71

1.4 ± 0.82

–

UBA:GSD,

\log P_{B} \times {\bar{\bar{z}}}^{- 1}

–

–26.3 ± 7.31

–

UBA:Height,

\log P_{B} \times {\bar{\bar{z}}}^{- 1}

–

–28.8 ± 9.83

–

GA:ASD,

\log P_{B} \times {\bar{\bar{z}}}^{- 1}

–

–1.52 ± 0.83

–

GA:Height,

\log P_{B} \times {\bar{\bar{z}}}^{- 1}

–

16.8 ± 6.46

–

GSD:ASD,

\log P_{B} \times {\bar{\bar{z}}}^{- 1}

–

–6.28 ± 5.87

–

19.7 ± 8.63

–

R²

14%

24%

20%

# parameters

∆AIC

–4.9

–5.1

–3.8

3.3

–2.1

2.1

2.8

SUM

∆AIC

2.6

–12.7

5.9

0.2

30.0

–3.6

6.7

6.5

Model

Parameters

La Mancha 2006

La Mancha 2007

Puerto Morelos 2006

Puerto Morelos 2007

Puente la Amistad 2014

Palo Verde 2014

Palo Verde 2015

Horizontes 2015

Visitation

Intercept (a₁), log odds

1.28 ± 0.26

0.06 ± 0.19

−0.53 ± 0.31

1.96 ± 0.79

0.01 ± 1.19

–

3.16 ± 1.04

2.69 ± 0.52

UBA (b_{11}), \log odds \times {\bar{\bar{z}}}^{- 1}

1.64 ± 1.27

0.79 ± 0.88

0.89 ± 0.79

–0.87 ± 1.92

6.08 ± 2.50

–

4.82 ± 3.57

1.95 ± 2.62

GA (b₁₂),

\log odds \times {\bar{\bar{z}}}^{- 1}

1.79 ± 0.98

0.13 ± 0.53

2.09 ± 0.77

0.56 ± 2.79

–3.34 ± 2.89

–

–0.18 ± 3.40

–2.68 ± 3.31

Height (b₁₃),

\log odds \times {\bar{\bar{z}}}^{- 1}

8.84 ± 3.00

–

2.61 ± 2.12

–

UBA:GA,

\log odds \times {\bar{\bar{z}}}^{- 1}

–

–18.6 ± 11.7

–

GA:Height,

\log odds \times {\bar{\bar{z}}}^{- 1}

–40.1 ± 18.5

–

R²

11%

12%

–

# parameters

–

∆AIC

3.4

–2.7

13.0

–3.5

20.9

–

–0.2

–2.5

Pollen (P_F)

Intercept (a₂), log P_F

3.06 ± 0.12

3.09 ± 0.19

1.22 ± 0.54

0.46 ± 0.34

2.02 ± 0.63

2.88 ± 0.23

2.85 ± 0.17

3.74 ± 0.21

UBA (b₂₁),

\log P_{F} \times {\bar{\bar{z}}}^{- 1}

1.30 ± 0.49

0.42 ± 1.01

0.60 ± 1.20

2.97 ± 1.21

–4.58 ± 1.50

1.80 ± 1.02

2.17 ± 0.80

2.06 ± 0.84

GA (b₂₂),

\log P_{F} \times {\bar{\bar{z}}}^{- 1}

–0.47 ± 0.40

–0.38 ± 0.66

–0.56 ± 1.34

–3.15 ± 1.70

3.00 ± 2.81

–2.40 ± 1.07

0.27 ± 0.91

1.38 ± 0.92

GSD (b₂₃),

\log P_{F} \times {\bar{\bar{z}}}^{- 1}

–0.39 ± 0.54

–1.27 ± 1.52

–2.04 ± 1.86

5.73 ± 2.79

–6.90 ± 2.50

–1.50 ± 1.43

–1.75 ± 0.95

–0.90 ± 0.93

Height (b₂₄),

\log P_{F} \times {\bar{\bar{z}}}^{- 1}

–0.12 ± 1.88

–

UBA:GA,

\log P_{F} \times {\bar{\bar{z}}}^{- 1}

–

6.86 ± 3.94

–

UBA:GSD,

\log P_{F} \times {\bar{\bar{z}}}^{- 1}

–

–22.3 ± 9.31

–

–11.2 ± 4.69

UBA:Height,

\log P_{F} \times {\bar{\bar{z}}}^{- 1}

32.0 ± 8.67

–

GA:GSD,

\log P_{F} \times {\bar{\bar{z}}}^{- 1}

4.65 ± 2.37

–

GSD:Height,

\log P_{F} \times {\bar{\bar{z}}}^{- 1}

54.8 ± 16.2

–

R²

# parameters

∆AIC

4.1

–4.9

–3.3

7.5

5.8

–1.5

4.8

6.2

Pollen (P_B)

Intercept (a₃), log P_B

3.45 ± 0.13

3.31 ± 0.14

1.42 ± 0.3

1.83 ± 0.25

1.62 ± 0.48

2.42 ± 0.21

2.38 ± 0.24

3.48 ± 0.17

UBA (b₃₁),

\log P_{B} \times {\bar{\bar{z}}}^{- 1}

–0.24 ± 0.54

0.09 ± 0.96

0.78 ± 0.77

–1.14 ± 0.94

–0.86 ± 1.03

0.06 ± 1.69

0.59 ± 1.38

–0.41 ± 0.98

GA (b₃₂),

\log P_{B} \times {\bar{\bar{z}}}^{- 1}

–0.03 ± 0.45

0.55 ± 0.49

0.01 ± 0.75

4.33 ± 1.61

–1.13 ± 1.62

1.79 ± 1.85

–0.37 ± 1.96

–0.74 ± 1.32

GSD (b₃₃),

\log P_{B} \times {\bar{\bar{z}}}^{- 1}

0.04 ± 0.69

–0.5 ± 1.4

1.37 ± 1.21

1.43 ± 1.99

6.03 ± 1.68

0.29 ± 1.79

3.01 ± 1.81

2.89 ± 1.30

ASD (b₃₄),

\log P_{B} \times {\bar{\bar{z}}}^{- 1}

–0.53 ± 0.29

0.18 ± 0.27

–0.49 ± 1.08

–1.18 ± 0.98

0.07 ± 0.55

–1.22 ± 1.29

0.52 ± 1.02

–1.07 ± 0.51

Height (b₃₅),

\log P_{B} \times {\bar{\bar{z}}}^{- 1}

–

–2.22 ± 1.71

1.4 ± 0.82

–

UBA:GSD,

\log P_{B} \times {\bar{\bar{z}}}^{- 1}

–

–26.3 ± 7.31

–

UBA:Height,

\log P_{B} \times {\bar{\bar{z}}}^{- 1}

–

–28.8 ± 9.83

–

GA:ASD,

\log P_{B} \times {\bar{\bar{z}}}^{- 1}

–

–1.52 ± 0.83

–

GA:Height,

\log P_{B} \times {\bar{\bar{z}}}^{- 1}

–

16.8 ± 6.46

–

GSD:ASD,

\log P_{B} \times {\bar{\bar{z}}}^{- 1}

–

–6.28 ± 5.87

–

19.7 ± 8.63

–

R²

14%

24%

20%

# parameters

∆AIC

–4.9

–5.1

–3.8

3.3

–2.1

2.1

2.8

SUM

∆AIC

2.6

–12.7

5.9

0.2

30.0

–3.6

6.7

6.5

Table 2

Open in new tab

Parameter estimates (± SE) from the highest ranked models for each component of the pollination fitness function. All traits were centered on the patch mean and standardized by the grand mean $(\bar{\bar{z}})$ ⁠. Thus, the units are the change in log odds of being visited per change in trait mean $(\log P \times {\bar{\bar{z}}}^{- 1})$ or the change in log pollen per change in trait mean $(\log P \times {\bar{\bar{z}}}^{- 1})$ ⁠. The R² is the proportion of variance explained by the model. Model selection was based on AICc, but AIC was used to obtain the summed AIC for the full pollination fitness function and is reported as (minus) the difference, ∆AIC, from the intercept-only model

Model	Parameters	La Mancha 2006	La Mancha 2007	Puerto Morelos 2006	Puerto Morelos 2007	Puente la Amistad 2014	Palo Verde 2014	Palo Verde 2015	Horizontes 2015
Visitation	Intercept (a₁), log odds	1.28 ± 0.26	0.06 ± 0.19	−0.53 ± 0.31	1.96 ± 0.79	0.01 ± 1.19	–	3.16 ± 1.04	2.69 ± 0.52
	$UBA (b_{11}), \log odds \times {\bar{\bar{z}}}^{- 1}$	1.64 ± 1.27	0.79 ± 0.88	0.89 ± 0.79	–0.87 ± 1.92	6.08 ± 2.50	–	4.82 ± 3.57	1.95 ± 2.62
	GA (b₁₂), $\log odds \times {\bar{\bar{z}}}^{- 1}$	1.79 ± 0.98	0.13 ± 0.53	2.09 ± 0.77	0.56 ± 2.79	–3.34 ± 2.89	–	–0.18 ± 3.40	–2.68 ± 3.31
	Height (b₁₃), $\log odds \times {\bar{\bar{z}}}^{- 1}$	NA	NA	NA	NA	8.84 ± 3.00	–	2.61 ± 2.12	–
	UBA:GA, $\log odds \times {\bar{\bar{z}}}^{- 1}$	–	–	–	–	–	–	–18.6 ± 11.7	–
	GA:Height, $\log odds \times {\bar{\bar{z}}}^{- 1}$	NA	NA	NA	NA	–40.1 ± 18.5	–	–	–
	R²	4%	1%	11%	0%	12%	–	4%	1%
	# parameters	5	5	5	5	7	–	7	5
	∆AIC	3.4	–2.7	13.0	–3.5	20.9	–	–0.2	–2.5
Pollen (P_F)	Intercept (a₂), log P_F	3.06 ± 0.12	3.09 ± 0.19	1.22 ± 0.54	0.46 ± 0.34	2.02 ± 0.63	2.88 ± 0.23	2.85 ± 0.17	3.74 ± 0.21
	UBA (b₂₁), $\log P_{F} \times {\bar{\bar{z}}}^{- 1}$	1.30 ± 0.49	0.42 ± 1.01	0.60 ± 1.20	2.97 ± 1.21	–4.58 ± 1.50	1.80 ± 1.02	2.17 ± 0.80	2.06 ± 0.84
	GA (b₂₂), $\log P_{F} \times {\bar{\bar{z}}}^{- 1}$	–0.47 ± 0.40	–0.38 ± 0.66	–0.56 ± 1.34	–3.15 ± 1.70	3.00 ± 2.81	–2.40 ± 1.07	0.27 ± 0.91	1.38 ± 0.92
	GSD (b₂₃), $\log P_{F} \times {\bar{\bar{z}}}^{- 1}$	–0.39 ± 0.54	–1.27 ± 1.52	–2.04 ± 1.86	5.73 ± 2.79	–6.90 ± 2.50	–1.50 ± 1.43	–1.75 ± 0.95	–0.90 ± 0.93
	Height (b₂₄), $\log P_{F} \times {\bar{\bar{z}}}^{- 1}$	NA	NA	NA	NA	–0.12 ± 1.88	–	–	–
	UBA:GA, $\log P_{F} \times {\bar{\bar{z}}}^{- 1}$	–	–	6.86 ± 3.94	–	–	–	–	–
	UBA:GSD, $\log P_{F} \times {\bar{\bar{z}}}^{- 1}$	–	–	–	–	–22.3 ± 9.31	–	–	–11.2 ± 4.69
	UBA:Height, $\log P_{F} \times {\bar{\bar{z}}}^{- 1}$	NA	NA	NA	NA	32.0 ± 8.67	–	–	–
	GA:GSD, $\log P_{F} \times {\bar{\bar{z}}}^{- 1}$	4.65 ± 2.37	–	–	–	–	–	–	–
	GSD:Height, $\log P_{F} \times {\bar{\bar{z}}}^{- 1}$	NA	NA	NA	NA	54.8 ± 16.2	–	–	–
	R²	1%	0%	0%	0%	0	7%	2%	6%
	# parameters	7	6	7	6	9	6	6	7
	∆AIC	4.1	–4.9	–3.3	7.5	5.8	–1.5	4.8	6.2
Pollen (P_B)	Intercept (a₃), log P_B	3.45 ± 0.13	3.31 ± 0.14	1.42 ± 0.3	1.83 ± 0.25	1.62 ± 0.48	2.42 ± 0.21	2.38 ± 0.24	3.48 ± 0.17
	UBA (b₃₁), $\log P_{B} \times {\bar{\bar{z}}}^{- 1}$	–0.24 ± 0.54	0.09 ± 0.96	0.78 ± 0.77	–1.14 ± 0.94	–0.86 ± 1.03	0.06 ± 1.69	0.59 ± 1.38	–0.41 ± 0.98
	GA (b₃₂), $\log P_{B} \times {\bar{\bar{z}}}^{- 1}$	–0.03 ± 0.45	0.55 ± 0.49	0.01 ± 0.75	4.33 ± 1.61	–1.13 ± 1.62	1.79 ± 1.85	–0.37 ± 1.96	–0.74 ± 1.32
	GSD (b₃₃), $\log P_{B} \times {\bar{\bar{z}}}^{- 1}$	0.04 ± 0.69	–0.5 ± 1.4	1.37 ± 1.21	1.43 ± 1.99	6.03 ± 1.68	0.29 ± 1.79	3.01 ± 1.81	2.89 ± 1.30
	ASD (b₃₄), $\log P_{B} \times {\bar{\bar{z}}}^{- 1}$	–0.53 ± 0.29	0.18 ± 0.27	–0.49 ± 1.08	–1.18 ± 0.98	0.07 ± 0.55	–1.22 ± 1.29	0.52 ± 1.02	–1.07 ± 0.51
	Height (b₃₅), $\log P_{B} \times {\bar{\bar{z}}}^{- 1}$	NA	NA	NA	NA	–	–2.22 ± 1.71	1.4 ± 0.82	–
	UBA:GSD, $\log P_{B} \times {\bar{\bar{z}}}^{- 1}$	–	–	–	–	–	–	–26.3 ± 7.31	–
	UBA:Height, $\log P_{B} \times {\bar{\bar{z}}}^{- 1}$	NA	NA	NA	NA	–	–28.8 ± 9.83	–	–
	GA:ASD, $\log P_{B} \times {\bar{\bar{z}}}^{- 1}$	–	–1.52 ± 0.83	–	–	–	–	–	–
	GA:Height, $\log P_{B} \times {\bar{\bar{z}}}^{- 1}$	NA	NA	NA	NA	–	16.8 ± 6.46	–	–
	GSD:ASD, $\log P_{B} \times {\bar{\bar{z}}}^{- 1}$	–	–	–6.28 ± 5.87	–	–	–	19.7 ± 8.63	–
	R²	1%	0%	9%	14%	3%	6%	24%	20%
	# parameters	7	8	8	7	7	10	10	7
	∆AIC	–4.9	–5.1	–3.8	–3.8	3.3	–2.1	2.1	2.8
SUM	∆AIC	2.6	–12.7	5.9	0.2	30.0	–3.6	6.7	6.5

Model	Parameters	La Mancha 2006	La Mancha 2007	Puerto Morelos 2006	Puerto Morelos 2007	Puente la Amistad 2014	Palo Verde 2014	Palo Verde 2015	Horizontes 2015
Visitation	Intercept (a₁), log odds	1.28 ± 0.26	0.06 ± 0.19	−0.53 ± 0.31	1.96 ± 0.79	0.01 ± 1.19	–	3.16 ± 1.04	2.69 ± 0.52
	$UBA (b_{11}), \log odds \times {\bar{\bar{z}}}^{- 1}$	1.64 ± 1.27	0.79 ± 0.88	0.89 ± 0.79	–0.87 ± 1.92	6.08 ± 2.50	–	4.82 ± 3.57	1.95 ± 2.62
	GA (b₁₂), $\log odds \times {\bar{\bar{z}}}^{- 1}$	1.79 ± 0.98	0.13 ± 0.53	2.09 ± 0.77	0.56 ± 2.79	–3.34 ± 2.89	–	–0.18 ± 3.40	–2.68 ± 3.31
	Height (b₁₃), $\log odds \times {\bar{\bar{z}}}^{- 1}$	NA	NA	NA	NA	8.84 ± 3.00	–	2.61 ± 2.12	–
	UBA:GA, $\log odds \times {\bar{\bar{z}}}^{- 1}$	–	–	–	–	–	–	–18.6 ± 11.7	–
	GA:Height, $\log odds \times {\bar{\bar{z}}}^{- 1}$	NA	NA	NA	NA	–40.1 ± 18.5	–	–	–
	R²	4%	1%	11%	0%	12%	–	4%	1%
	# parameters	5	5	5	5	7	–	7	5
	∆AIC	3.4	–2.7	13.0	–3.5	20.9	–	–0.2	–2.5
Pollen (P_F)	Intercept (a₂), log P_F	3.06 ± 0.12	3.09 ± 0.19	1.22 ± 0.54	0.46 ± 0.34	2.02 ± 0.63	2.88 ± 0.23	2.85 ± 0.17	3.74 ± 0.21
	UBA (b₂₁), $\log P_{F} \times {\bar{\bar{z}}}^{- 1}$	1.30 ± 0.49	0.42 ± 1.01	0.60 ± 1.20	2.97 ± 1.21	–4.58 ± 1.50	1.80 ± 1.02	2.17 ± 0.80	2.06 ± 0.84
	GA (b₂₂), $\log P_{F} \times {\bar{\bar{z}}}^{- 1}$	–0.47 ± 0.40	–0.38 ± 0.66	–0.56 ± 1.34	–3.15 ± 1.70	3.00 ± 2.81	–2.40 ± 1.07	0.27 ± 0.91	1.38 ± 0.92
	GSD (b₂₃), $\log P_{F} \times {\bar{\bar{z}}}^{- 1}$	–0.39 ± 0.54	–1.27 ± 1.52	–2.04 ± 1.86	5.73 ± 2.79	–6.90 ± 2.50	–1.50 ± 1.43	–1.75 ± 0.95	–0.90 ± 0.93
	Height (b₂₄), $\log P_{F} \times {\bar{\bar{z}}}^{- 1}$	NA	NA	NA	NA	–0.12 ± 1.88	–	–	–
	UBA:GA, $\log P_{F} \times {\bar{\bar{z}}}^{- 1}$	–	–	6.86 ± 3.94	–	–	–	–	–
	UBA:GSD, $\log P_{F} \times {\bar{\bar{z}}}^{- 1}$	–	–	–	–	–22.3 ± 9.31	–	–	–11.2 ± 4.69
	UBA:Height, $\log P_{F} \times {\bar{\bar{z}}}^{- 1}$	NA	NA	NA	NA	32.0 ± 8.67	–	–	–
	GA:GSD, $\log P_{F} \times {\bar{\bar{z}}}^{- 1}$	4.65 ± 2.37	–	–	–	–	–	–	–
	GSD:Height, $\log P_{F} \times {\bar{\bar{z}}}^{- 1}$	NA	NA	NA	NA	54.8 ± 16.2	–	–	–
	R²	1%	0%	0%	0%	0	7%	2%	6%
	# parameters	7	6	7	6	9	6	6	7
	∆AIC	4.1	–4.9	–3.3	7.5	5.8	–1.5	4.8	6.2
Pollen (P_B)	Intercept (a₃), log P_B	3.45 ± 0.13	3.31 ± 0.14	1.42 ± 0.3	1.83 ± 0.25	1.62 ± 0.48	2.42 ± 0.21	2.38 ± 0.24	3.48 ± 0.17
	UBA (b₃₁), $\log P_{B} \times {\bar{\bar{z}}}^{- 1}$	–0.24 ± 0.54	0.09 ± 0.96	0.78 ± 0.77	–1.14 ± 0.94	–0.86 ± 1.03	0.06 ± 1.69	0.59 ± 1.38	–0.41 ± 0.98
	GA (b₃₂), $\log P_{B} \times {\bar{\bar{z}}}^{- 1}$	–0.03 ± 0.45	0.55 ± 0.49	0.01 ± 0.75	4.33 ± 1.61	–1.13 ± 1.62	1.79 ± 1.85	–0.37 ± 1.96	–0.74 ± 1.32
	GSD (b₃₃), $\log P_{B} \times {\bar{\bar{z}}}^{- 1}$	0.04 ± 0.69	–0.5 ± 1.4	1.37 ± 1.21	1.43 ± 1.99	6.03 ± 1.68	0.29 ± 1.79	3.01 ± 1.81	2.89 ± 1.30
	ASD (b₃₄), $\log P_{B} \times {\bar{\bar{z}}}^{- 1}$	–0.53 ± 0.29	0.18 ± 0.27	–0.49 ± 1.08	–1.18 ± 0.98	0.07 ± 0.55	–1.22 ± 1.29	0.52 ± 1.02	–1.07 ± 0.51
	Height (b₃₅), $\log P_{B} \times {\bar{\bar{z}}}^{- 1}$	NA	NA	NA	NA	–	–2.22 ± 1.71	1.4 ± 0.82	–
	UBA:GSD, $\log P_{B} \times {\bar{\bar{z}}}^{- 1}$	–	–	–	–	–	–	–26.3 ± 7.31	–
	UBA:Height, $\log P_{B} \times {\bar{\bar{z}}}^{- 1}$	NA	NA	NA	NA	–	–28.8 ± 9.83	–	–
	GA:ASD, $\log P_{B} \times {\bar{\bar{z}}}^{- 1}$	–	–1.52 ± 0.83	–	–	–	–	–	–
	GA:Height, $\log P_{B} \times {\bar{\bar{z}}}^{- 1}$	NA	NA	NA	NA	–	16.8 ± 6.46	–	–
	GSD:ASD, $\log P_{B} \times {\bar{\bar{z}}}^{- 1}$	–	–	–6.28 ± 5.87	–	–	–	19.7 ± 8.63	–
	R²	1%	0%	9%	14%	3%	6%	24%	20%
	# parameters	7	8	8	7	7	10	10	7
	∆AIC	–4.9	–5.1	–3.8	–3.8	3.3	–2.1	2.1	2.8
SUM	∆AIC	2.6	–12.7	5.9	0.2	30.0	–3.6	6.7	6.5

UBA = upper-bract area; GA = gland area; GSD = gland-stigma distance; ASD = anther-stigma distance; ∆AIC = subtract AIC of the best ranking model from AIC of the intercept-only model; NA = height not recorded in the study.

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