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Revista mexicana de ciencias forestales

Print version ISSN 2007-1132

Rev. mex. de cienc. forestales vol.14 n.79 México Sep./Oct. 2023  Epub Oct 06, 2023

https://doi.org/10.29298/rmcf.v14i79.1370 

Scientific article

Effect of fire severity on Pinus shoots in Santiago, Nuevo León

José Israel Yerena-Yamallel1  * 

Victoria del Pilar García-Ortuño1 

Luis Gerardo Cuéllar-Rodríguez1 
http://orcid.org/0000-0003-4969-611X

Ángel Mario Reyna-González1 
http://orcid.org/0000-0003-1596-6759

1Universidad Autónoma de Nuevo León, Facultad de Ciencias Forestales. México.


Abstract

The objective of the study was to characterize the trees and shoots of the genus Pinus by type of fire severity in Cumbres de Monterrey National Park. The fire severity was determined based on the difference in the Normalized Burn Coefficient. 60 circular sampling sites of 400 m2 were established to measure the diameter and height of both trees and shoots. Two types of tree conditions were identified: (1) Living burnt and (2) Charred; the latter comprised the highest number of individuals with shoots. Moderate-high severity recorded more trees with shoots (488 individuals ha-1). Of the total number of individuals sampled, 83 % corresponded to the species Pinus teocote, and 17 % to Pinus pseudostrobus. In the trees that exhibited shoots, the number of shoots per individual was recorded, in a larger quantity, in the low level of one to two shoots in the three severities. Low-severity corresponded to 864 shoots ha-1, moderate-low to 626 shoots ha-1, and moderate-high, to 994 shoots ha-1. As the diameter category increases, the probability of shoot occurrence decreases, as does the height. The ability to sprout could potentially determine the difference between the dominance in an area of pines versus other species after a disturbance.

Key words Adaptation; shoot; characterization; Pinus; regeneration; fire severity

Resumen

El objetivo del estudio fue caracterizar a los árboles y brotes del género Pinus por tipo de severidad de incendio en el Parque Nacional Cumbres de Monterrey. La severidad de incendio se determinó a partir de la diferencia del Coeficiente Normalizado de Quemas. Se establecieron 60 sitios circulares de muestreo de 400 m2, en ellos se midió el diámetro y altura tanto de los árboles como de los brotes. Se identificaron dos tipos de condición del arbolado: (1) Vivos quemados y (2) Carbonizados, estos últimos obtuvieron la cantidad superior de individuos con brote. La severidad moderada alta registró más árboles con brote (488 individuos ha-1). Del total de individuos muestreados, 83 % correspondieron a la especie Pinus teocote y 17 % a Pinus pseudostrobus. En los árboles que presentaron brotes, la cantidad de estos por individuo se registró en mayor proporción en el nivel bajo de uno a dos brotes en las tres severidades. La severidad baja correspondió a 864 brotes ha-1, la moderada-baja de 626 brotes ha-1 y 994 brotes ha-1 en moderada-alta. A medida que la categoría diamétrica aumenta, la probabilidad de aparición de brote disminuye, de igual manera ocurre para la altura. La capacidad de brotar podría significar, potencialmente, la diferencia entre la dominancia en un área de los pinos frente a otras especies después de una perturbación.

Palabras clave Adaptación; brote; caracterización; Pinus; regeneración; severidad de incendio

Introduction

Anthropogenic activities such as recreation, ecotourism, agriculture, livestock, among others, have led to changes in ecosystems; an example of this is the disturbance generated by the fire regime (Paysen et al., 2000). The fire regime is a mixture of temporal and spatial scenarios that depend on the frequency, intensity, extent, and seasonality of fire, which have a decisive influence on the patterns of ecological succession (Medina, 2007).

Certain types of vegetation throughout history have shown resilience to the presence of forest fires, which has given them adaptive value to the new environmental conditions imposed by the high frequency regime. However, there is also an alteration in species composition and structure that results in a transformation of their original state (González et al., 2007; Alanís-Rodríguez et al., 2012; Carbone et al., 2017).

Certain species of the Pinus genus, due to the constant presence of fire, have developed adaptive strategies to cope with it, e.g.: thick bark (to protect the cambium), serotinous cones, protected apical buds, and the cespitose or branching stage (Rodríguez-Trejo, 2001).

Also, another unusual phenomenon has been observed in response to fire: the appearance of shoots from the base of the stem of affected individuals, which can be perceived as part of an adaptation that favors them in the face of alterations in the fire regime (Pausas et al., 2016). Although this phenomenon is not exclusive of the Pinus genus (Juárez et al., 2012; Lilly et al., 2012; García-Jiménez et al., 2017), there are few records for it (Sánchez et al., 2014; Gómez-Mendoza and Rodríguez-Trejo, 2021). Therefore, the objective was to characterize the trees of the Pinus genus and their shoots by type of fire severity under the hypothesis that there are significant differences in shoot density between fire severities.

Materials and Methods

Study area

The study was carried out in a fraction of the Eastern Sierra Madre, in the Cumbres de Monterrey National Park (CMNP), specifically in the community of El Tejocote (25°20'38.2" N, 100°14'53.0" W), located west of Santiago municipality, Nuevo León State. The area is located at an altitude between 2 000 and 2 300 m, with a vegetation consisting mainly of pine-oak forest, where the presence of the following species stands out Pinus teocote Schltdl. & Cham., P. pseudostrobus Lindl., P. greggii Engelm. ex Parl., Quercus canbyi Trel., Q. laceyi Small and Q. polymorpha Schltdl. & Cham. The mean annual temperature is 14.1 °C, the maximum values range from 16.8 to 29.8 °C, and the minimum values from 0.8 to 9.4 °C, and the annual precipitation is 766.5 mm, with a maximum of 89.6 mm and a minimum of 13.5 mm (Cuervo-Robayo et al., 2015a; Cuervo-Robayo et al., 2015b). A fire occurred in the CMNP in March 2021 that affected 14 453.60 ha of land (Figure 1).

Source: Prepared by the authors.

Figure 1 Location of the study area and surface area affected by the fire by severity type. 

Fire Severity

The fire severity variable was determined by the dNBR (differenced Normalized Burn Ratio) index, using the difference between the pre-fire NBR (Normalized Burn Ratio) and the post-fire NBR: dNBR=pre-fire NBR-post-fire NBR (Valdez-Zavala et al., 2019), in addition to a field record of fire evidence made for the purpose of correct interpretation (Keeley, 2009).

The NBR Index is recommended to delimit the polygons of burned areas and to determine their fire severity categorization, based on the near infrared (NIR) and shortwave infrared (SWIR) bands of the electromagnetic spectrum (Valdez-Zavala et al., 2019). Pre-fire vegetation has a reflectance close to the NIR and a low reflectance in the SWIR, unlike recently burned sites, which have a low reflectance in the near infrared band and a high reflectance in the shortwave infrared band. Thus, the formula for calculating the NBR is as follows (Keeley, 2009):

NBR=(NIR-SWIR)/(NIR+SWIR) (1)

Where:

NBR = Normalized Burn Ratio

NIR = Near infrared

SWIR = Shortwave infrared

Sentinel-2 satellite images dated February 28th and March 30th, 2021, were used to obtain the pre-fire and post-fire NBR, respectively. Once the dNBR was calculated, the fire severity was determined considering as a reference the intervals of the classification proposed by the U. S. Geological Survey (USGS) (Keeley, 2009). The polygon with which we worked is a private property whose owner granted permission for sampling.

Field sampling

Data were obtained from June to September, 2022, using systematic sampling, with a separation of 100 m between each site (Alanís et al., 2020). Twenty 400 m2 circular sites with a radius of 11.28 m were established by type of severity in order to facilitate data collection, based on the type of vegetation present in the study area (Ramírez et al., 2017), and on the design of the sampling units of the National Forestry and Soil Inventory (Inventario Nacional Forestal y de Suelos) (Conafor, 2018).

All standing individuals belonging to the Pinus genus were considered; they were assigned a tree number, their species was identified, their height was measured with a Forestry Pro Nikon® hypsometer, and their diameter with a 283D Forestry Suppliers® diameter tape. In the case of individuals with shoots, the number of shoots, shoot height and shoot diameter were also recorded using a pro-Lock FX-5M Truper® measuring tape and a 4˝ Traceable® digital caliper. Some trees had shoots with cespitose or branching growth, therefore, these were considered as a single shoot if they emerged from the same point of origin.

Structural features

Trees with shoots. The percentage of individuals with shoots was calculated for both burned and charred live trees, using the Equation:

(Living burned or charred trees with shoots / Total number of trees) × 100 (2)

Categorization of shoots with respect to their number per tree. Four levels were established: 1. Nil shoot (0 shoots), 2. Low shoot: 1-2 shoots, 3. Medium shoot: 3-4 shoots, and 4. High shoot: +5 shoots.

Distribution of shoots by diameter category and height class. In the estimation of the number of shoots per diameter category, 5 cm intervals were established, with an upper limit of 60 cm and a lower limit of 2.5 cm. A frequency table of the number of shoots per height class was prepared, with intervals of 1 m, a lower limit of 1 m and an upper limit of 15 m.

Data analysis

When the data met the criteria of normality and homoscedasticity, a one-way Analysis of Variance (ANOVA) was performed using the Statistica Advanced software; fire severity was considered as the independent variable, while the number of shoots was the dependent variable. A Spearman correlation test was applied in order to determine the association between shoot occurrence and the diameter category and the height class (P≤0.05).

Results

In the analysis of the difference index of the normalized burning coefficient (dNBR), three different fire severities were determined: (I) Low, with a surface area of 74.73 ha, (II) Moderate-low, with 91.02 ha, and (III) Moderate-high, with 40.52 ha (Figure 2).

Figure 2 Fire severity and estimated surface areas. 

The highest number of individuals occurred in the low-fire severity area; 31 % produced shoots. Two types of tree conditions were identified: (1) Living burnt and (2) Charred; the latter resulted in the highest number of individuals with shoots in all three severities. Moderate-high severity recorded more trees with shoots. In the three severity levels, the dominant proportion of trees did not bud (Table 1). Of the total number of individuals sampled, 83 % corresponded to the species Pinus teocote, and 17 % to Pinus pseudostrobus.

Table 1 Number of individuals (ha-1) by tree condition and fire severity. 

Condition of the trees Low Moderate-low Moderate-high
Living burnt with shoots 103 78 125
Charred with shoots 280 215 363
Living burnt without shoots 333 103 68
Charred without shoots 530 305 498
Total 1 246 701 1 054

Over 50 % of the individuals in all fire-severity categories had no shoots. In the trees that exhibited shoots, the number of shoots per tree was higher in the low level, from one to two shoots in the three severities. The presence of five or more shoots per tree was the least frequent (Table 2).

Table 2 Number of individuals (ha-1) by number of shoots and fire severity. 

Level of shoots Low Moderate-low Moderate-high
Trees % Trees % Trees %
Nil shoot (0) 863 69 408 58 566 53
Low shoot (1-2) 262 21 195 28 327 31
Medium shoot (3-4) 103 8 88 13 158 15
High shoot (+5) 18 2 10 1 3 1
Total 1 246 100 701 100 1 054 100

The mean values of the mensuration variables of the trees in the moderate-low severity were higher than the others. Shoot height was greater in the moderate-high severity in a range of 8 to 83.1 cm, with an average of 32.3 cm, and the diameter of the shoots ranged between 0.3 and 1.9 cm, with a mean of 1.1 cm. The values were lower in the low-severity areas (Table 3).

Table 3 Height and diameter of trees and shoots by fire severity. 

Descriptive measure Low Moderate
-low
Moderate-
high
Tree height (m) Minimum 1.4 1.2 1.1
Medium 2.3 3.6 3.2
Maximum 15 13 14
SD 1.5 2.1 1.7
SE 0.1 0.2 0.1
Tree diameter (cm) Minimum 2.5 2.5 2.5
Medium 4.4 7.6 6.8
Maximum 60 43 55
SD 3.7 5.5 4.9
SE 0.3 0.5 0.3
Shoot height (cm) Minimum 2 2 8
Medium 28.0 31.1 32.3
Maximum 70.7 82.5 83.1
SD 15.1 20.1 20.3
SE 1.2 1.9 1.6
Shoot diameter (cm) Minimum 0.3 0.3 0.3
Medium 0.6 0.8 1.1
Maximum 1.8 1.9 1.9
SD 0.4 0.5 0.5
SE 0.1 0.1 0.1

SD = Standard deviation of the mean; SE = Standard error of the mean.

In the area with low fire severity, there were 12 diameter categories, the other fire-severity levels had nine. The 5 and 10 cm categories in the low and moderate-low fire severity levels had the largest number of trees, trees with shoots, and shoots; in the moderate-high severity areas, they were observed in the 10 and 5 cm categories. There was a larger number of trees with shoots and shoots in the moderate-high severity areas (Table 4).

Table 4 Trees and shoots (individuals ha-1) by diameter category (cm) and fire severity. 

Diameter category Low Moderate-low Moderate-high
Trees Trees with shoots Shoots Trees Trees with shoots Shoots Trees Trees with shoots Shoots
5 948 294 613 356 151 318 416 179 360
10 158 68 188 218 100 233 505 255 515
15 48 10 45 58 25 53 63 48 113
20 40 8 13 15 8 8 28 0 0
25 10 0 0 10 3 8 15 0 0
30 3 0 0 18 3 3 8 3 3
35 5 3 5 13 0 0 0 0 0
40 10 0 0 10 3 3 8 0 0
45 8 0 0 3 0 0 0 0 0
50 8 0 0 0 0 0 8 3 3
55 3 0 0 0 0 0 3 0 0
60 5 0 0 0 0 0 0 0 0
Total 1 246 383 864 701 293 626 1 054 488 994

The analysis of variance between the number of shoots in relation to fire severity showed that there is no significant difference (p>0.05); therefore, the hypothesis is rejected.

The results of the correlation tests for diameter and height category with respect to the occurrence of shoot break showed a strong significant association (p<0.05). The smaller the diameter of the shaft, the higher the probability of sprouting; when the diameter category variable increases, the probability of sprouting decreases.

There were 13 height classes in the low and moderate-low severities, and 14 in the moderate-high. At low severity, the 2 m class had the highest number of trees, trees with shoots, and shoots; at moderate-high severity, the 3 and 4 m classes had the highest number of trees, trees with shoots, and shoots. The moderate-low severity area exhibited more trees and trees with shoots in the 2 m class; however, the 3 m class was superior in number of shoots (Table 5).

Table 5 Trees and shoots (ind. ha-1) by height class (m) and fire severity. 

Height class Low Moderate-low Moderate-high
Trees Trees with shoots Shoots Trees Trees with shoots Shoots Trees Trees with shoots Shoots
1 187 66 183 115 38 73 71 66 131
2 653 227 437 173 85 189 178 70 158
3 208 53 130 153 78 203 338 140 288
4 80 23 68 80 23 50 218 110 240
5 10 0 0 58 30 45 125 68 125
6 23 5 10 38 15 30 60 23 38
7 13 0 0 20 13 20 10 5 8
8 18 3 28 5 3 3 20 3 3
9 18 3 3 10 0 0 10 0 0
10 8 3 5 25 3 8 5 0 0
11 5 0 0 13 5 5 5 0 0
12 13 0 0 8 0 0 3 3 3
13 0 0 0 3 0 0 8 0 0
14 0 0 0 0 0 0 3 0 0
15 10 0 0 0 0 0 0 0 0
Total 1 246 383 864 701 293 626 1 054 488 994

Discussion

Charred trees and the moderate-high fire severity area had the highest presence of shoots; likewise, Gómez-Mendoza and Rodríguez-Trejo (2021) refer that the probability of reshooting shows a direct relationship with the percentage of the crown affected by fire in Pinus montezumae Lamb.; González-Rosales and Rodríguez-Trejo (2004) state the opposite for Pinus hartwegii Lindl., although the classification of tree condition differed between the three studies.

Of the total population sampled in the three severities of fire, 39 % produced shoots. This percentage is lower than the one cited by Sánchez et al. (2014), who assessed the regeneration of Pinus oocarpa Schiede ex Schltdl. in the La Primavera forest, in Jalisco State, estimating 83 %. But it is higher than the value indicated by Baumgartner and Fulé (2007) for Pinus leiophylla Schiede ex Schltdl. & Cham. var. chihuahuana (Engelm.) Shaw, of 34 % in the Mogollon Rim, Arizona.

One strategy for tree recovery after a fire is sprouting. Juárez et al. (2012) researched this process Pinus teocote in Chignahuapan, Puebla State, and calculated 344 shoots ha-1 and five shoots per tree; in this work the densities are higher and the level of sprouting is the least common in the areas.

The average height of the shoots in the three fire severities is less than that determined in Chiapas State by Rodríguez et al. (2019), which is 40 cm in Pinus oocarpa six months after a fire, and then that cited by Clabo and Clatterbuck (2019) for Pinus echinata Mill. (73 cm) in Morgan, Tennessee.

Gómez-Mendoza and Rodríguez-Trejo (2021) assessed and modeled the probability of mortality and regrowth in Pinus montezumae, Pinus teocote, and Pinus patula Schltdl. & Cham. nine months after a fire in the Michac ejido, Chignahuapan, Puebla, and they found that younger individuals had greater resprouting power than older ones, similarly to what was observed in the CMNP. The ability to sprout after a fire can vary according to the age of the trees, with older trees of some species producing few shoots (Miller, 2000).

This study supports the observation of Baumgartner and Fulé (2007) for Pinus leiophylla var. chihuahuana on the Mogollon Rim in Arizona, in the sense that most of the trees that sprouted from the base of the tree were in the 5 cm diameter class, as well as their results for the low and moderate-low severities.

The ability of conifers to sprout in response to disturbances, such as forest fires, can vary in space and time, as was studied as part of the fire ecology of Pinus hartwegii in Mexico City (Rodríguez, 1996); the results show that 28 % of trees between 1.3 and 4 m in height have an average of three shoots per tree, and 97 % of trees less than 1.3 m in height have seven shoots per tree. These values coincide with those of the present study, in which the lowest height classes have the highest shoot presence and an even larger number of shoots per tree.

Alanís-Rodríguez et al. (2012) assessed the composition and diversity of the natural regeneration in post-fire Pinus-Quercus natural communities in the Chipinque Ecological Park; they classified Pinus pseudostrobus as a non-sprouting species, which contrasts with what was described for the CMNP, where Pinus communities exhibited the presence of sprouting as a fire response adaptation.

Growth substances in the roots, particularly cytokinins, assist the sprouting of dormant buds at the base of the tree, though they may already be present in the shoots; however, a decrease in the ratio of auxins to cytokinins provides the stimulus for shoot growth, as the former are inhibitory to sprouting (Miller, 2000).

As a broad generalization, species growing on sites with higher impact or frequent disturbances are likely to sprout more vigorously and retain the ability to sprout longer than species growing on sites with less damage or less frequent disturbances (Del Tredici, 2001).

Conclusions

Pinus teocote and Pinus pseudostrobus species exhibit shoots in the three fire severities; the most represented level of shoots is the lower one, of one to two shoots per tree. The area with the highest intensity of disturbance ―moderate-high severity― has the highest density of trees with shoots, however, there are no differences between severities. Charred trees are predominant as to the presence of shoots. These develop mainly on individuals of the lowest diameter and height categories.

The ability to sprout as a form of regeneration after a fire is an important adaptive advantage; this ability may potentially determine the difference between the dominance of pines versus other species in an area after a disturbance.

Studies are suggested to explain the physiological reasons for sprouting after a fire, as well as what substances and in what proportion are necessary to activate this process because only certain trees of the same species have this capacity.

Acknowledgments

The authors are grateful to the editor for the initial review of this manuscript and to the two anonymous reviewers for their comments, which helped to improve the article.

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Received: March 17, 2023; Accepted: June 29, 2023

Conflict of interest

The authors declare that they have no conflict of interest.

Contribution by author

José Israel Yerena-Yamallel: research coordinator, statistical analysis, drafting and revision of the manuscript; Victoria del Pilar García-Ortuño: severity analysis, field data collection, drafting and revision of the manuscript; Luis Gerardo Cuéllar-Rodríguez: data analysis, drafting and revision of the manuscript; Ángel Mario Reyna-González: mapping, severity analysis, field data collection, and revision of the manuscript.

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