Revista Mexicana de Ciencias Forestales Vol. 17 (97)

Septiembre - Octubre (2026)

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DOI: https://doi.org/10.29298/rmcf.v17i97.1662

 

Supplementary Material

 

Iris J. Cruz-Larios1, Alejandra Moreno-Letelier1*

 

 

Fecha de recepción/Reception date: 18 de marzo de 2026.

Fecha de aceptación/Acceptance date: 14 de julio de 2026.

_______________________________

1Jardín Botánico, Instituto de Biología, Universidad Nacional Autónoma de México. México.

 

*Autor para correspondencia; correo-e: amletelier@ib.unam.mx

*Corresponding author; e-mail: amletelier@ib.unam.mx

 

 

Supplementary material

 

 

Table S1. Resistance values assigned to vegetation cover types (INEGI, Series V).

Type of vegetation cover

Resistance value

Coniferous forest

80

Oak forest

50

Mountain mesophyll forest

100

Xerophytic scrub

5

Not applicable

100

Other types of vegetation

100

Grassland

60

Deciduous forest

1

Evergreen forest

95

Subdeciduous forest

15

Hydrophilic vegetation

100

Induced vegetation

50

The values range from 1 (minimum resistance) to 100 (maximum resistance).

 

Table S2. Resistance categories based on altitude ranges (masl).

Altitude range (masl)

Resistance value

0-599

98

600-1 000

5

1 001-1 199

15

1 200-1 300

45

1 301-5 500

100

 

The biotic association values (epsilon) and the frequency distribution by suitability deciles were estimated using the algorithm of the SPECIES platform (Stephens et al., 2019).

Figure S1. Network of potential interactions between Bursera linanoe (La Llave) Rzed., Calderón & Medina and species of the Tyrannidae family inferred from spatial association.

 

Blue points: Bursera linanoe records. Source: obtained from Global Biodiversity Information Facility (GBIF, 2021).

Figure S2. Records of Bursera linanoe (La Llave) Rzed., Calderón & Medina occurrences utilized to model its potential distribution.

 

Figure S3. Principal component analysis (PCA) of allele frequencies using the Adegenet package.

 

Figure S4. Mantel test comparing the genetic and geographic Euclidean distances among four Bursera linanoe (La Llave) Rzed., Calderón & Medina populations.

 

Each vertical bar represents an individual, and the colors indicate the estimated proportion of membership in each genetic group (K). The results are shown for K=3 (top) and K=4 (bottom).

Figure S5. Genetic structure of four Bursera linanoe (La Llave) Rzed., Calderón & Medina populations inferred using a Bayesian ancestry model.

 

The colors indicate the probability of belonging to each genetic group.

Figure S6. Geographic location of the sampled populations of Bursera linanoe (La Llave) Rzed., Calderón & Medina and spatial distribution of Bayesian ancestry coefficients.

 

Table S3. Values of the ε statistic and spatial co-occurrence parameters between Bursera linanoe (La Llave) Rzed., Calderón & Medina and species of the Tyrannidae family.

Source node

Destination node

nij

nj

ni

n

Epsilon

Bursera linanoe (La Llave) Rzed., Calderón & Medina

Tyrannus crassirostris Swainson

30

1 289

93

38 279

15.20

Myiarchus nuttingi Ridgway

23

1 053

93

38 279

12.80

Tyrannus melancholicus Vieillot

34

3 926

93

38 279

7.93

Myiarchus cinerascens Lawrence

25

2 584

93

38 279

7.48

Myiodynastes luteiventris Sclater

19

1 731

93

38 279

7.22

Myiarchus tyrannulus Müller

21

2 064

93

38 279

7.15

Tyrannus verticalis Say

16

1 570

93

38 279

6.25

Myiarchus tuberculifer d'Orbigny, ACVMD; de Lafresnaye

21

3 047

93

38 279

5.00

Tyrannus vociferans Swainson

16

3 073

93

38 279

3.13

nij = Number of cells where the focal species and the species under evaluation co-occur; nj = Number of cells containing the species under study; ni = Number of cells containing the focal species (Bursera linanoe); n = Total number of cells analyzed (cach cell=16 km2); Epsilon = Spatial association statistic; positive values indicate greater co-occurrence than would be expected at random.

 

 

        

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