Jurnal Riset Biologi dan Aplikasinya, Volume 5, Issue 1, March 2023 Leaf and Stomata Morphometrics of Gayam Inocarpus fagifer (Fabaceae) at Different Altitudes Alwi Smith, Kristin Sangur*, Dessy Fitri Molle, Ludia Haurissa, Grisendy Maulany, Belsefren Renyaan Biology Education Study Program, Faculty of Teacher Training and Education, Universitas Pattimura, Jln. Ir. M. Putuhena, Poka Campus, Ambon City, Maluku, Indonesia *Corresponding Author: e-mail: sangur_kristin@yahoo.com Article History ABSTRACT Received : 5 Desember 2022 Gayam (Inocarpus fagifer) is one of the members of the angiosperm flora in Ambon City, Indonesia, that grows and develops at various altitudes. This research aimed to analyze the leaf and stomata morphometrics of these plants in the Aer Louw and Ema Village areas. Leaf samples were taken from the upper, middle, and lower strata and considered as replicates. The morphometric characteristics were measured manually using millimeter block paper and the formula for calculating leaf ratio. Furthermore, the stomata were stained using the direct incision method and safranin. The incision results were analyzed using an Olympus CX23 microscope at 400x magnification. The measurement and observation were analyzed descriptively and correlatively. The results showed that the average leaf width and length, also the midrib length were greater in Aer Louw Village than in Ema Village; while the leaf tip and stalk length were greater in Ema Village than in Aer Louw Village. The characteristics of stomata length and width in Ema Village were greater than in Aer Louw Village; otherwise, the number, index, and density of stomata in Aer Louw Village were greater than in Ema Village. Meanwhile, the correlational analysis showed that the environment influenced the variations of leaves and stomata. Therefore, the variations of leaves and stomata in the areas could predict plant adaptations to different environments. Revised : 12 February 2023 Approved : 22 March 2023 Published : 31 March 2023 Keywords Altitudinal gradient; ecology; functional morphology; stomata density How to cite: Smith, A., Sangur, K., Molle, D.F., Haurissa, L., Maulany, G., & Renyaan, B. (2023). Leaf and Stomata Morphometrics of Gayam Inocarpus fagifer (Fabaceae) at Different Altitudes. Jurnal Riset Biologi dan Aplikasinya, 5(1): 16-26. DOI: 10.26740/jrba. v5n1.p.16-26. INTRODUCTION Inocarpus fagifer (Parkinson ex Zollinger) Fosberg is a woody, leguminous plant with a tree habitus distributed in tropical and subtropical areas. It has a shallow taproot, while the lateral roots appear on the soil surface. The tree bark is rough and brown or gray, while the leaves are oval, arranged alternately, dark green, and has a rough surface. The flowers are arranged in clusters on branches, stems, and twigs with five petals and showing white or yellowish color variations. The fruit is oval, irregular, and slightly flattened, while the young fruit is green and turns orange-brown when ripe. Moreover, the seeds are white, fibrous, and thin (Setyowati & Wawo, 2015; Wawo et al., 2011). I. fagifer is known in different countries under its local names, thus aila in Papua New Guinea, chataignier de Tahiti in French Polynesia, ivi in Fiji, and Tahitian chestnut or Polynesian chestnut in England (Pauku, 2006). Pauku et al. (2010) also stated that most farmers use I. fagifer as an agricultural crop. Meanwhile, I. fagifer in Ambon City is grown by the community but not cultivated as a crop, such that the seeds that fall on the ground will grow naturally. The city is one of the areas with a large distribution of these plants, namely in Ema and Air Louw Villages. The distribution in the two villages represents the highlands and lowlands. Jurnal Riset Biologi dan Aplikasinya https://journal.unesa.ac.id/index.php/risetbiologi mailto:sangur_kristin@yahoo.com https://doi.org/10.26740/jrba.v5n1.p16-26 17| Smith et al., Leaf and Stomata Morphometrics of Gayam According to Hamidah & Fitriani (2018), some plants can grow well in the lowlands to the highlands hence, they have a wide distribution. This explanation shows that I. fagifer is a plant with a wide distribution in these two villages. The topography and slope of the place and environmental factors such as light intensity, wind speed, temperature, and CO2 pressure vary greatly in high and low areas (Gao et al., 2019; Kofidis & Bosabalidis, 2008). The varying conditions of environmental factors certainly affect the modification and adaptation of plants in the two villages. One of the characteristics that is easy to observe is the morphology of plant organs such as roots, stems, leaves, flowers, fruits, and seeds. However, the tree has a large trunk diameter and a height of up to 3 m. This makes it difficult to observe and measure some morphological characteristics. Meanwhile, flowers, fruits, and seeds are classified as seasonal organs, making morphological observation difficult. Leaves are one of the vegetative organs obtained to observe and measure morphological characteristics. Leaf morphometric measurement is conducted to determine leaf area, length, and ratio, which are also very useful for determining physiological processes. Observation of stomata characteristics can easily be performed through the leaf organ. Liu et al. (2020) also stated that plant adaptation to changes in environmental factors is carried out by reducing leaf area and increasing the thickness, mesophyll tissue thickness, and stomata density. According to Ruszala et al. (2011) and He & Liang (2018), stomata are tissues that are very sensitive to the environment. Therefore, it is very important to observe and measure the stomata of the I. fagifer leaves to determine their shape, length, width, aperture, density, and index. Paembonan et al. (2021) stated that highlands affect the number of stomata but reduce the size and index of the Makassar ebony (Diospyros celebica Bakh.). Tumpa et al. (2022) also noted that geographical location affects the leaf size of Salix triandra L., a process of morphological adaptation to environmental changes. According to Muradoglu & Gundogdu (2011), leaf surface area relates to the stomata frequency in walnut plants. Based on these results, the leaf and stomata morphometric measurement of I. fagifer plants was conducted based on the difference in altitude in two areas, namely Ema and Aer Louw Villages. Morphometric analysis of leaf and stomata at different altitudes can be a prediction for I. fagifer plants to cope to climate change in the future. Therefore, this research analyzed leaf and stomata morphometrics based on different altitudes. MATERIALS AND METHODS Sampling Location This research was conducted in Aer Louw Village with an altitude 200 m above sea level (asl) and Ema Village with an altitude of 600 m above sea level (asl) (Figure 1). Figure 1. A. Map of Ambon Island; B. Research Locations in Aer Louw Village; C. Research Locations in Ema Village. Source: https://earth.google.com/web/search/ A B C https://earth.google.com/web/search/ Jurnal Riset Biologi dan Aplikasinya, 5(1): 16-26, March 2023 |18 Sampling Leaf samples for stomata observation and morphometric measurement were taken separately. The samples for observing stomata were taken from one of the largest and tallest I. fagifer trees at the two sampling locations. Meanwhile, morphometric measurements were taken from 10 trees in the two locations by considering the upper, middle, and lower strata. Sampling for stomata measurement was carried out on the left and right branches and focused only on green leaves. Leaf samplings were repeated 5 times with a total was 30 dark green leaves. Research Procedure Environmental factors such as temperature, light, and altitude were measured. The morphometric measurement of I. fagifer leaves was conducted in the following stages: (1) leaf samples were cleaned of dirt and dust using a tissue, (2) the samples were placed on millimeter block paper and marked using a pen, (3) the results of the markers were measured using a ruler as shown in Figure 2. After obtaining the values for the length, width, tip, stalk, and leaf midrib length, the next step was to calculate the formula for the ratio of leaf length and width (Shi et al., 2020). The I. fagifer leaf stomata morphometric measurement was conducted in the following stages: (1) the leaf samples taken were cleaned of dirt and dust; (2) the samples were sliced crosswise at the bottom using a razor blade; (3) the leaf slices were soaked in commercial bleach (bayclin) for ± 5 min until they turn white; (4) the leaf slices were washed using distilled water and soaked in 1% safranin for 1 min; (5) the slices were washed again using distilled water; (6) the slices were observed using an Olympus CX23 microscope with 400x magnification; (7) the observation results were photographed using an digital camera connected to a computer; (8) the observed photos were inserted into the image master to measure length, width and opening size of stomata, count the number, and observe the location and type of stomata. Figure 2. Morphometric characteristics of I. fagifer leaf measurement. (a) leaf length; (b) leaf width; (c) leaf midrib length; (d) leaf tip length; (e) leaf stalk length Ratio of leaf length and width = leaf length leaf width Ratio of leaf length and leaf midrib length = leaf length leaf midrib length Ratio of leaf length and leaf stalk length = leaf length leaf stalk length Ratio of leaf length and leaf tip length = leaf length leaf tip length 19| Smith et al., Leaf and Stomata Morphometrics of Gayam Figure 3. Morphometric characteristics of I. fagifer leaf stomata measurement. (a) stomata length; (b) stomata width; (c) stomata opening size Data Analysis Data from I. fagifer leaf and stomata morphometric calculation were collected and analyzed descriptively to determine the average value and standard deviation. Furthermore, the data were analyzed to determine correlation value of environmental factors and effective contribution using multiple linear regression inferential statistics (Wang et al., 2019; Sun et al., 2021). An analysis of correlation value and effective contribution is used based on the following formula: Formula of product moment correlation 𝑟𝑥𝑦 = 𝑛 ∑ 𝑋𝑌−(∑ 𝑋) (∑ 𝑌) √{𝑛 ∑ 𝑋2− (∑ 𝑋)2} (Chawla et al., 2016; Kumari & Yadav, 2018). Then analyze the effective contribution (EC): 𝐸𝐶%𝑋𝑛 = 𝐵𝑋𝑛 𝑥 𝑟𝑥𝑦 𝑥 100% (Turkheimer & Waldron 2000). Note: EC: effective contribution; BXn: B coefficient of the predictor; Xn: predictors such as temperature, light, and altitude, rxy: correlation coefficient. The calculation for the stomata index and density was conducted based on the Fetter et al. (2019) formula as follows: Stomata Density = Number of Stomata Field of View Unit Index Stomata = Number of stomata Number of stomata + epidermal cells The data was analyzed using Excel and SPSS for Windows 18. RESULTS AND DISCUSSION Inocarpus fagifer Leaf and Stomata Morphology Morphologically, the color of I. fagifer leaves in Ema and Aer Louw Villages was the same, dark green on the upper surface and light green on the lower surface. The upper surface of the leaves is smooth and greasy, while the lower surface was rough (Figure 4). Meanwhile, the stomata morphology between the two areas has the same shape but differed in size and number of stomata in one field of view (Figure 4). Stomata are a type of differentiation from leaf epidermal tissue (Peterson et al., 2013; Torii, 2021; Zuch et al., 2022). I. fagifer stomata are found on the lower surface of the leaves. The stomata in these two areas have an actinostic type, with guard cells surrounded by neighboring cells in a radius. The number of neighboring cells is 4 or more, while the stomata’s guard cells are kidney-shaped with thin side walls and thicker top and bottom walls (Prabhakar, 2004; Ahmad et al., 2009; Song et al., 2020). Jurnal Riset Biologi dan Aplikasinya, 5(1): 16-26, March 2023 |20 Figure 4. I. fagifer leaf morphology. (Top row) Samples from Ema Village (Altitude of 600 m asl). (Bottom row) Samples from Aer Louw Village (Altitude of 200 m asl). Leaf and Stomata Morphometrics of Inocarpus fagifer The morphometric measurement in the two areas with different altitudes varies greatly, as summarized in Table 1. The same result was reported by Paridari et al. (2013) wherein Carpinus betulus L. growing at high altitudes had a small leaf lamina compared to those growing at low altitudes. According to Liu et al. (2020), adapting plants in the highlands reduces leaf area. This shows that I. fagifer plants that grow at different altitudes have adapted to have an average leaf width and length at high altitudes (Ema Village) of 119.35 mm and 259.77 mm, while those growing at low altitudes (Aer Louw Village) have an average leaf width and length of 135.43 mm and 312.52 mm. The long and wide leaves of the I. fagifer plants in Aer Louw Village also have a midrib average length of 268.47 mm, while in Ema Village the midrib average length is 245.8 mm. This result agrees with that of Madeline et al. (2014), where broad leaves have high vein density accompanied by stomata density. Meanwhile, the broad leaves of I. fagifer in Aer Louw Village had shorter tips and petioles on average 3.69 mm and 5.45 mm, while the average tips and petioles in Ema Village were 6.07 and 8.7. According to Serdar & Kurt (2011), leaf parameters can be used as a variable to detect the level of phenotypic variability among plant species in a population. The stomata morphometric measurement of I. fagifer leaves in the two areas with different altitudes varied greatly, as recapitulated in Table 2. The high altitude in Ema Village (600 m asl) resulted a lower stomata density than Aer Louw in the lower area (200 m asl). Fustier et al. (2019) reported that stomata density decreased with increasing altitude. According to Li et al. (2021), plants with large stomata have low densities, but large size affects plant adaptation. Furthermore, Idris et al. (2019) stated that high intensity affects stomata density to support high assimilation processes in plants. 21| Smith et al., Leaf and Stomata Morphometrics of Gayam Table 1. Morphometric characteristics of I. fagifer leaves at two places with different altitudes Morphometric Characteristics of I. fagifer Leaves Location Upper strata (mm) Middle strata (mm) Lower strata (mm) Leaf length Ema 265.7±3.37 258.2±4.03 255.4±4.17 Aer Louw 302.26±2.12 293.22±1.03 342.08±18.4 Leaf width Ema 116±2.93 111.8±2.63 111.7±2.83 Aer Louw 140.14±2.12 135.88±1.03 130.26±0.82 Leaf midrib length Ema 251 ±3.22 244.7±3.83 241.7±3.92 Aer Louw 278.26±4.23 269.22±2.89 257.94±2.37 Leaf tip length Ema 9.7±0.17 4.1±0.12 4.4±0.14 Aer Louw 3.66±0.66 3.76±0.04 3.66±0.05 Leaf stalk length Ema 8.8±0.26 8.7±0.26 8.6±0.3 Aer Louw 5.40±0.1 5.56±0.07 5.40±0.1 Ratio of leaf length and width Ema 23.2±0.37 23.09±21.56 22.8±0.29 Aer Louw 21.64±0.19 21.56±0.14 25.56±1.16 Ratio of leaf length and leaf midrib length Ema 10±0 10±0 10±0 Aer Louw 10.99±0.12 10.89±0.05 13.09±0.64 Ratio of leaf and leaf stalk length Ema 303±7.93 294.5±6.83 314.4±6.28 Aer Louw 487.9±27.9 500.12±18 535.68±54.2 Ratio of leaf length and leaf tip length Ema 535.1±32.3 59.04±12.3 531.7±15.6 Aer Louw 856.5±24.3 785.01±9.19 966.59±68 Table 2. Stomata morphometric characteristics of I. fagifer leaves at two areas with different altitudes Stomata Morphometric Characteristics Loc. Upper Strata (μm) Middle Strata (μm) Lower Strata (μm) Desc riptio n Right Branch Left Branch Right Branch Left Branch Right Branch Left Branch Stomata Length (Mean±SD) Ema 47.54± 0.40 47.50± 0.33 44.07± 0.26 44.21± 0.45 41.88± 0.39 42.39± 0.46 Very long Aer Louw 16.68± 0.14 16.63± 0.12 14.89± 0.22 14.96± 0.21 12.75± 0.995 12.79± 0.75 Less long Stomata Width (Mean±SD) Ema 46.86± 0.56 47.09± 0.39 44.4± 0.26 44.02± 0.37 42± 0.46 41.99± 0.63 Very wide Aer Louw 16.93± 0.30 17.09± 0.29 14.96± 1.06 15.26± 0.54 14± 1.07 14.3± 1.64 Less wide Stomata Opening Size (Mean±SD) Ema 16.03± 0.27 16± 0.32 14.11± 0.34 14.06± 0.25 12± 0.24 12.02± 0.24 Wide Aer Louw 6.058± 0.11 6.2± 0.13 5.01± 0.1 5.16± 0.24 4.8± 0.39 4.92± 0.46 Less wide Number of Stomata (Mean±SD) Ema 13± 1.52 14.4± 2.30 10± 0.71 9.8± 0.84 7.2± 0.84 6.4± 1.14 Few Aer Low 43± 7.01 40.2± 9.15 24.4± 4.62 27.4± 8.05 24± 3.27 21.4± 1.52 Many Stomata Index (Mean±SD) Ema 0.18± 0.01 0.18± 0.01 0.15± 0.01 0.15± 0.01 0.1± 0.02 0.1± 0.01 Low Aer Louw 0.58± 0.02 0.57± 0.03 0.43± 0.02 0.44± 0.01 0.37± 0.01 0.36± 0.01 High Stomata Density (Mean±SD) Ema 152.3± 17.24 163.6± 26.16 113.6± 8.04 111.4± 9.51 81.81± 9.51 72.72± 12.96 Low Aer Louw 670.8± 108.9 624.2± 142.1 379.9± 70.23 425.5± 124.9 370.6± 48.9 333.3± 21.61 High Description: Loc: Location Jurnal Riset Biologi dan Aplikasinya, 5(1): 16-26, March 2023 |22 The difference in altitude is an environmental factor affecting the plant microclimate. According to Lamprecht et al. (2018), ecosystems at high altitudes have low temperatures. Meanwhile, Idris et al. (2019) reported that the stomata density increased when exposed to high sunlight. Environmental characteristics at different altitudes also affect the stomata morphometric features. Tiwari et al. (2013), also stated that altitude was positively correlated with stomata density, index, and guard cell length. According to Akbarinia et al. (2011), variations in shape, size, index, area, and stomata can vary within one species. The stomata length characteristic of I. fagifer leaves is directly proportional to its width. Muradoglu & Gundogdu (2011) also stated a positive relationship between stomata length and width. According to Li et al. (2011), the stomata index of Quercus aquifolioides Rehder & E.H. Wilson decreased at high altitudes and increased at low altitudes. Meanwhile, the morphological characteristics of stomata related to its density are inversely proportional to the length and width of it, as well as to the size of the stomatal opening, which is inversely proportional to stomata density (Hong et al., 2018; Haworth et al., 2023). Some of these findings have supported this research that the length of the I. fagifer stomata leaves are also directly proportional to the width of the stomata and the size of the opening of the stomata is directly proportional to the number, index, and density of stomata. The variation of stomata in the two areas with different altitudes shows that altitude plays a role in morphometric characteristics. According to Alonso- Amelot (2008), highland plants have high adaptability to extreme environments. It was stated by Ahmad et al. (2020) that the ability of plants to adapt in the highlands is by adjusting their morphological and physiological characteristics. Halbritter et al. (2018) and Montesinos‐Navarro et al. (2011) also confirmed that the elevation gradient greatly affects abiotic factors, such as humidity, temperature, and light intensity in an area. Variations in leaf and stomata morphometrics of I. fagifer as affected by environmental parameters Environmental characteristics in the two areas with different altitudes are shown in Table 3. The condition of the two areas showed that light intensity influences temperature, while altitude is related to light intensity as indicated in Table 3. The condition of the two areas showed that light intensity influences temperature, while altitude is related to light intensity as indicated in Table 3. Altitude is an environmental factor that greatly determines the relationship between leaf and stomata morphometrics in I. fagifer plants. The relationship of environmental factors to the leaf morphometric characteristics of I. fagifer plants is shown in Table 4. Table 3. Environmental characteristics Environmental Characteristics Ema Village Air Louw Village Light intensity 17,000 Lux 20,000 Lux Temperature (ᵒC) 25ºC 28ºC Altitude 600 m asl 200 m asl Table 4. Correlation of environmental factors with leaf morphometric characteristics Leaf Characteristics R R 2 Sum of Square Mean Square F F sig (p) Reg. Res. Reg. Res. Leaf length 0.31 0.099 417.4371 3798.868 417.43713 65.5 6.3733 08 0.014(*) Leaf width 0.46 0.2136 74.32614 273.564 74.32614 4.717 15.758 35 0.00(*) Leaf midrib length 0.32 0.1025 77.11201 675.319 77.112007 11.64 6.6227 93 0.012(*) Leaf tip length 0.32 0.1003 0.074907 0.671787 0.074907 0.012 6.4672 12 0.014(*) Leaf stalk length 0.65 0.418 1.581127 2.201347 1.581127 0.038 41.658 75 0.00(*) Ratio of leaf length and width 0.01 0.0001 0.001815 16.26631 0.001815 0.28 0.0064 72 0.936 23| Smith et al., Leaf and Stomata Morphometrics of Gayam Leaf Characteristics R R 2 Sum of Square Mean Square F F sig (p) Reg. Res. Reg. Res. Ratio of leaf length and leaf midrib length 0.3 0.09 0.411682 4.163537 0.411682 0.072 5.7349 17 0.019(*) Ratio of leaf length and leaf stalk length 0.42 0.1727 7390.602 35402.1997 6 7390.6021 610.4 12.108 14 0.001(*) Ratio of leaf length and leaf tip length 0.47 0.2163 16625.69 60222.5031 4 16625.692 1038 16.012 12 0.00(*) Description: Reg: Regression; Res: Residual; (*): significant Table 5. Effective contribution of environmental factors to leaf morphometric characteristics Leaf characteristics Effective Contribution of Environmental Factors Total (%) Temperature Light Altitude Leaf length 0.00 0.00 9.901 9.901 Leaf width 0.00 0.00 21.36 21.36 Leaf midrib length 0.00 0.00 10.25 10.25 Leaf tip length 0.00 0.00 10.03 10.03 Leaf stalk length 0.00 0.00 41.8 41.8 Ratio of leaf length and width 0.00 0.00 - - Ratio of leaf length and leaf midrib length 0.00 0.00 8.998 8.998 Ratio of leaf length and leaf stalk length 0.00 0.00 17.27 17.27 Ratio of leaf length and leaf tip length 0.00 0.00 21.63 21.63 Table 6. Correlation of environmental factors with stomata morphometric characteristics Stomata Characteristics R R2 Sum of square Mean square F F sig (p) Reg. Res. Reg. Res. Stomata length 0.992 0.983 2667.697 44.952 2667.697 4.495 593.452 0.00(*) Stomata width 0.992 0.985 2493.795 39.027 2493.795 3.903 638.997 0.00(*) Stomata opening size 0.964 0.93 229.338 17.248 229.338 1.725 132.961 0.00(*) Number of stomata 0.843 0.711 1180.083 480.833 1180.083 48.08 24.542 0.00(*) Stomata index 0.915 0.838 0.288 0.056 0.288 0.006 51.575 0.00(*) Stomata density 0.879 0.772 370572.395 109402.096 370572.4 10940 33.873 0.00(*) Description: Reg: Regression; Res: Residual; (*): significant Table 7. Effective contribution of environmental factors to stomata morphometric characteristics Stomata characteristics Effective Contribution of Environmental Factors Total (%) Temperature Light Altitude Stomata length 0.00 0.00 98.3 98.3 Stomata width 0.00 0.00 98.5 98.5 Stomata opening size 0.00 0.00 93 93 Number of stomata 0.00 0.00 71.1 71.1 Stomata index 0.00 0.00 83.8 83.8 Stomata density 0.00 0.00 77.2 77.2 Jurnal Riset Biologi dan Aplikasinya, 5(1): 16-26, March 2023 |24 The relationship of environmental factors to the stomata morphometric characteristics of I. fagifer leaves is shown in Table 6. Environmental factors of light, temperature, and altitude have a significant relationship with all morphometric characteristics of I. fagifer leaves (p=<0.05). Previous research confirmed that environmental factors greatly affect stomata opening size (Casson & Gray, 2008). Qi & Torii (2018), reported that environmental factors stimulate stomata density. Harrison et al. (2020) also stated that environmental factors correlated with stomata size and density. The effective contribution of environmental factors was calculated to determine which stomatal morphometric characteristics were more dominant. The altitude effectively contributed to these stomatal morphometric characteristics, as indicated in Table 7. Aslantaş & Karakurt (2009) stated that high areas have high rainfall while temperature, O2 and CO2 levels decreased. This shows that the environmental factors of temperature, light, O2, CO2, and humidity depend on altitude. The low and high altitudes are related to temperature, light, and humidity. These environmental factors affect stomata length, width, opening size, number, index, and density simultaneously. Specifically, stomata opening is influenced by light (Elhaddad et al., 2014) and high temperature (Lawson & Blatt, 2014). Driesen et al. (2020) stated that stomata opening is influenced simultaneously by light, CO2, temperature, and humidity. Altitude greatly influences plant physiology, such as stomata density (Qiang et al., 2003). Richardson et al. (2017) confirmed that stomata are adaptive tissues that modify their stomatal density, size, and form in response to environmental changes. CONCLUSION The results showed that different environmental conditions can provide variations in the morphology of the leaves and stomata of I. fagifer plants. Altitude is related to other environmental factors, such as temperature and light intensity, which can directly influence variations of leaves and stomata. This research can predict I. fagifer plants’ survival and adaptation to environment changes. ACKNOWLEDGEMENT The authors are grateful to the leadership of the Faculty of Teacher Training and Education at Pattimura University, which has provided funds for this research. The funding is stated in the Certificate Number 1087/UN13/SK/2021. REFERENCES Ahmad, K., Khan, M. A., Ahmad, M., Zafar, M., Arshad, M., & Ahmad, F. (2009). Taxonomic diversity of stomata in dicot flora of a district tank (N.W.F.P) in Pakistan. African Journal of Biotechnology, 8(6), 1052–1055. Ahmad, K. S., Wazarat, A., Mehmood, A., Ahmad, M. S. A., Tahir, M. M., Nawaz, F., Ahmed, H., Zafar, M., Ulfat, A., Ahmad, K. S., Wazarat, A., Mehmood, A., Ahmad, M. S. A., Tahir, M. M., Nawaz, F., Ahmed, H., Zafar, M., & Ulfat, A. (2020). Adaptations in Imperata cylindrica (L.) Raeusch. and Cenchrus ciliaris L. for altitude tolerance. Biologia, 75(2), 183–198. https://doi.org/10.2478/s11756-019-00380-2 Akbarinia, M., Zarafshar, M., Sattarian, A., Fariba, B. S., Ehsan, G., & Iman, C. P. (2011). Morphological variations in stomata epidermal cells and trichome of sweet chestnut (Castanea sativa Mill.) in Caspian ecosystem. Taxonomy and Biosystematics, 3(7), 23– 32.https://dorl.net/dor/20.1001.1.20088906.1390. 3.7.4.0. Alonso-Amelot, M. E. (2008). High altitude plants chemistry of acclimation and adaptation. Studies in Natural Products Chemistry, 34, 883–982. https://doi.org/10.1016/S1572-5995(08)80036-1. Aslantaş, R., & Karakurt, H. (2009). The effects of altitude on stomata number and some vegetative growth parameters of some apple cultivars. Research Journal of Agriculture and Biological Sciences, 5(5), 853–857. Casson, S., & Gray, J. E. (2008). Influence of environmental factors on stomatal development. New Phytologist, 178(1), 9–23. https://doi.org/10.1111/j.1469- 8137.2007.02351.x Chawla, S., Sachdeva, M., & Behal, S. (2016). Discrimination of DDoS attacks and flash events using Pearson’s product moment correlation method. International Journal of Computer Science and Information Security, 14(10), 382. Driesen, E., Van den Ende, W., De Proft, M., & Saeys, W. (2020). Influence of environmental factors light, CO2, temperature, and relative humidity on stomatal opening and development: A review. Agronomy, 10(12), 1975–1988. https://doi.org/10.3390/agronomy10121975. Elhaddad, N. S., Hunt, L., Sloan, J., & Gray, J. E. (2014). Light-induced stomatal opening is affected by the guard cell protein kinase APK1b. PLoS One, 9(5), e97161.https://doi.org/10.1371/journal.pone.009 7161 Fetter, K. C., Eberhardt, S., Barclay, R. S., Wing, S., & Keller, S. R. (2019). Stomata counter: A neural network for automatic stomata identification and counting. New Phytologist, 223(3), 1671–1681. https://doi.org/10.1111/nph.15892. Fritz, M. A., Rosa, S., & Sicard, A. (2018). Mechanisms underlying the environmentally induced plasticity of leaf morphology. Frontiers in Genetics, 9, 478. https://doi.org/10.3389/fgene.2018.00478. Fustier, M. A., Martínez-Ainsworth, N. E Aguirre-Liguori, J. A., Venon, A., Corti, H., Rousselet, A., Dumas, F., Dittberner, H., Camarena, M. G., Grimaneli, D., Ovaskainen, O., Falque, M., Moreau, L., de Meaux, J., Montes-Hernández, S., Eguiarte, L. E., Vigouroux, Y., Manicacci, D., & Tenaillon, M. I. (2019). Common gardens in teosintes reveal the https://doi.org/10.2478/s11756-019-00380-2 https://dorl.net/dor/20.1001.1.20088906.1390.3.7.4.0 https://dorl.net/dor/20.1001.1.20088906.1390.3.7.4.0 https://doi.org/10.1016/S1572-5995(08)80036-1 https://doi.org/10.1111/j.1469-8137.2007.02351.x https://doi.org/10.1111/j.1469-8137.2007.02351.x https://doi.org/10.3390/agronomy10121975 https://doi.org/10.1371/journal.pone.0097161 https://doi.org/10.1371/journal.pone.0097161 https://doi.org/10.1111/nph.15892 https://doi.org/10.3389/fgene.2018.00478 25| Smith et al., Leaf and Stomata Morphometrics of Gayam establishment of a syndrome of adaptation to altitude. PLoS Genetics, 15(12), e1008512. https://doi.org/10.1371/journal.pgen.1008512 Gao, J., Song, Z., & Liu, Y. (2019). Response mechanisms of leaf nutrients of endangered plant (Acer catalpifolium) to environmental factors varied at different growth stages. Global Ecology and Conservation, 17, e00521. https://doi.org/10.1016/j.gecco.2019.e00521 Halbritter, A. H., Fior, S., Keller, I., Billeter, R., Edwards, P. J Holderegger, R Karrenberh, S., Pluess, A. R., Alexander, J. M., Halbritter, A. H., Fior, S., Keller, I., Billeter, R., Edwards, P. J Holderegger, R Karrenberh, S., Pluess, A. R., & M, A. J. (2018). Trait differentiation and adaptation of plants along elevation gradients. Journal of Evolutionary Biology, 31(6), 784–800. https://doi.org/10.17605/OSF.IO/YFJ9M. Hamidah, S., Y, A. F., & Fitriani A. (2018). Micro climate assessment of medicinal plant habitat for the first step of domestication. Academic Research International, 9(3), 145–150. Harrison, E. L., Cubas, L. A., Gray, J. E., & Hepworth, C. (2020). The influence of stomatal morphology and distribution on photosynthetic gas exchange. The Plant Journal, 101(4), 768–779. https://doi.org/10.1111/tpj.14560 Haworth, M., Marino, G., Materassi, A., Raschi, A., Scutt, C. P., & Centritto, M. (2022). The functional significance of the stomatal size to density relationship: Interaction with atmospheric [CO2] and role in plant physiological behaviour. Science of The Total Environment, 863, 160908. http://dx.doi.org/10.1016/j.scitotenv.2022.16090 8. He, J., & Liang, Y-K. (2018). Stomata. Plant Science. https://doi.org/10.1002/9780470015902.a002652 6. Hong, T., Lin, H., & He, D. (2018). Characteristics and correlations of leaf stomata in different Aleurites montana provenances. PLoS One, 13(12), e0208899. https://doi.org/10.1371/journal.pone.0208899 Hovenden, M. J., & Schoor, J. K. V. (2006). The response of leaf morphology to irradiance depends on altitude of origin in Nothofagus cunninghamii. New Phytologist, 169(2), 291–297. https://doi.org/10.1111/j.1469- 8137.2005.01585.x Idris, A., Linatoc, A. C., & Bakar, M. F. B. A. (2019). Effect of light intensity on the photosynthesis and stomatal density of selected plant species of gunung ledang Johor. Malaysian Applied Biology, 48(3), 133–140. Kofidis, G., & Bosabalidis, A. M. (2008). Effects of altitude and season on glandular hairs and leaf structural traits of Nepeta nuda L. Botanical Studies, 49(4), 363–372. Kumari, K., & Yadav, S. (2018). Linear regression analysis study. Journal of the practice of Cardiovascular Sciences, 4(1), 33. Lamprecht, A., Semenchuk, P. R., Steinbauer, K., Winkler, M., & Pauli, H. (2018). Climate change leads to accelerated transformation of high‐elevation vegetation in the central Alps. New Phytologist, 220(2), 447–459. https://doi.org/10.1111/nph.15290 Lawson, T., & Blatt, M. R. (2014). Stomatal size, speed, and responsiveness impact on photosynthesis and water use efficiency. Plant Physiology, 164(4), 1556–1570. https://doi.org/10.1104/pp.114.237107 Li, C., Zhang, X., Liu, X., Luukkanen, O., & Berninger, F. (2006). Leaf morphological and physiological responses of Quercus aquifolioides along an altitudinal gradient. Silva Fennica, 40(1), 5–9. https://doi.org/10.14214/sf.348. Li, Q., Hou, J., He, N., Xu, L., & Zhang, Z. (2021). Changes in leaf stomatal traits of different aged temperate forest stands. Journal of Forestry Research, 32(3), 927–936. https://doi.org/10.1007/s11676-020- 01135-5 Li, X., Li, Y., Zhang, Z., & Li, X. (2015). Influences of environmental factors on leaf morphology of Chinese jujubes. PLoS One, 10(5), e0127825. https://doi.org/10.1371/journal.pone.0127825 Liu, W., Zheng, L., & Qi, D. (2020). Variation in leaf traits at different altitudes reflects the adaptive strategy of plants to environmental changes. Ecology and Evolution, 10(15), 8166–8175. https://doi.org/10.1002/ece3.6519. Madeline, R. C. M., Jordan, G. J., & Brodribb, T. J. (2014). Acclimation to humidity modifies the link between leaf size and the density of veins and stomata. Plant, Cell & Environment, 37(1), 124–131. https://doi.org/10.1111/pce.12136 Montesinos‐Navarro, A., Wig, J., Pico, F. X., & Tonsor, S. J. (2011). Arabidopsis thaliana populations show clinal variation in a climatic gradient associated with altitude. New Phytologist, 189(1), 282–294. https://doi.org/10.1111/j.1469- 8137.2010.03479.x. Muradoglu, F., & Gundogdu, M. (2011). Stomata size and frequency in some walnut (Juglans regia) cultivars. International Journal of Agriculture and Biology, 13(6), 1011–1015. Paembonan, S. A., Larekeng, S. H., & Millang, S. (2021). The dynamics of physiological properties of ebony (Diospyros celebica Bakh.) based on crown position and altitude. Earth and Environmental Science, 807. https://doi.org/10.1088/1755- 1315/807/3/032016 Paridari, I. C., Jalali, S. G., Sonboli, A., Zarafshar, M., & Bruschi, P. (2013). Leaf macro-and micro- morphological altitudinal variability of Carpinus betulus in the Hyrcanian forest (Iran). Journal of Forestry Research, 24(2), 301–307. https://doi.org/10.1007/s11676-013-0353-x. Pauku. R. L. (2006). Inocarpus fagifer (Tahitian chestnut). Growth, 5(14), 1–9. Pauku, R. L., Lowe, A. J., & Leakey, R. R. (2010). Domestication of indigenous fruit and nut trees for agroforestry in the Solomon Islands. Forests, Trees and Livelihoods, 19(3), 269–287. https://doi.org/10.1080/14728028.2010.9752671 Peterson, K. M., Shyu, C., Burr, C. A., Horst, R. J., Kanaoka, M. M., Omae, M., Sato, Y., & Tori, K. U. (2013). Arabidopsis homeodomain-leucine zipper IV proteins promote stomatal development and ectopically induce stomata beyond the epidermis. Development, 140(9), 1924–1935. https://doi.org/10.1242/dev.090209. Prabhakar, M. (2004). Structure, delimitation, nomenclature and classification of stomata. Acta Botanica Sinica, 46(2), 242–252. Qi, X., & Torii, K. U. (2018). Hormonal and environmental signals guiding stomatal development. BMC Biology, 16(1), 1–11. https://doi.org/10.1186/s12915-018-0488-5. Qiang, W. Y., Wang, X. L., Chen, T., Feng, H. Y., An, L. Z., He, Y. Q., & Wang, G. (2003). Variations of stomatal density and carbon isotope values of Picea https://doi.org/10.1371/journal.pgen.1008512 https://doi.org/10.1016/j.gecco.2019.e00521 https://doi.org/10.17605/OSF.IO/YFJ9M https://doi.org/10.1111/tpj.14560 http://dx.doi.org/10.1016/j.scitotenv.2022.160908 http://dx.doi.org/10.1016/j.scitotenv.2022.160908 https://doi.org/10.1002/9780470015902.a0026526. https://doi.org/10.1002/9780470015902.a0026526. https://doi.org/10.1371/journal.pone.0208899 https://doi.org/10.1111/j.1469-8137.2005.01585.x https://doi.org/10.1111/j.1469-8137.2005.01585.x https://doi.org/10.1111/nph.15290 https://doi.org/10.1104/pp.114.237107 https://doi.org/10.14214/sf.348 https://doi.org/10.1007/s11676-020-01135-5 https://doi.org/10.1007/s11676-020-01135-5 https://doi.org/10.1371/journal.pone.0127825 https://doi.org/10.1002/ece3.6519 https://doi.org/10.1111/pce.12136 https://doi.org/10.1111/j.1469-8137.2010.03479.x https://doi.org/10.1111/j.1469-8137.2010.03479.x https://doi.org/10.1088/1755-1315/807/3/032016 https://doi.org/10.1088/1755-1315/807/3/032016 https://doi.org/10.1007/s11676-013-0353-x https://doi.org/10.1080/14728028.2010.9752671 https://doi.org/10.1242/dev.090209 https://doi.org/10.1186/s12915-018-0488-5 Jurnal Riset Biologi dan Aplikasinya, 5(1): 16-26, March 2023 |26 crassifolia at different altitudes in the Qilian Mountains. Trees, 17(3), 258–262. https://doi.org/10.1007/s00468-002-0235-x. Richardson, F., Brodribb, T. J., & Jordan, G. J. (2017). Amphistomatic leaf surfaces independently regulate gas exchange in response to variations in evaporative demand. Tree Physiology, 37, 869–878. https://doi.org/10.1093/treephys/tpx073 Ruszala, E. M., Beerling, D. J., Franks, P. J., Chater, C., Casson, S. A., Gray, J. E., & Hetherington, A. M. (2011). Land plants acquired active stomatal control early in their evolutionary history. Current Biology, 21, 1030–1035. https://doi.org/10.1016/j.cub.2011.04.044 Serdar, U., & Kurt, N. (2011). Some leaf characteristics are better morphometric discriminators for chestnut genotypes. Journal of Agricultural Science And Technology, 13, 885–894. Setyowati, N., & Wawo, A. H. (2015). Mengungkap keberadaan dan potensi Gayam (Inocarpus fagifer) sebagai sumber pangan alternatif di Sukabumi, Jawa Barat [To reveal the existence and potential of Gayam (Inocarpus fagifer) as an alternative food source in Sukabumi, West Java]. Proceedings of the National Seminar on the Indonesian Biodiversity Society., 1(1), 71–77. https://doi.org/10.13057/psnmbi/m010111 Shi, P., Yu, K., Niinemets, Ü., & Gielis, J. (2020). Can leaf shape be represented by the ratio of leaf width to length? Evidence from nine species of Magnolia and Michelia (Magnoliaceae). Forests, 12(1), 41–50. https://doi.org/10.3390/f12010041 Song, J. H., Yang, S., & Choi, G. (2020). Taxonomic implications of leaf micromorphology using microscopic analysis: A tool for identification and authentication of Korean Piperales. Plants, 9(5), 1– 15. https://doi.org/10.3390/plants9050566 Sun, J., Liu, C., Hou, J., & He, N. (2021). Spatial variation of stomatal morphological traits in grassland plants of the Loess Plateau. Ecological Indicators, 128, 107857. https://doi.org/10.1016/j.ecolind.2021.107857 Tiwari, S. P., Kumar, P., Yadav, D., & Chauhan, D. K. (2013). Comparative morphological, epidermal, and anatomical studies of Pinus roxburghii needles at different altitudes in the North-West Indian Himalayas. Turkish Journal of Botany, 37(1), 65–73. https://doi.org/10.3906/bot-1110-1 Torii, K. U. (2021). Stomatal development in the context of epidermal tissues. Annals of Botany, 128(2), 137–148. https://doi.org/10.1093/aob/mcab052 Tumpa, K., Šatović, Z., Vidaković, A., Idžojtić, M., Stipetić, R., & Poljak, I. (2022). Population variability of almond-leaved willow (Salix triandra L.) based on the leaf morphometry: isolation by distance and environment explain phenotypic diversity. Forests, 13(3), 420–429. https://doi.org/10.3390/f13030420 Turkheimer, E., & Waldron, M. (2000). Nonshared environment: a theoretical, methodological, and quantitative review. Psychological Bulletin, 126(1), 78. https://doi.org/10.1037/0033-2909.126.1.78 Wawo, A. H., Studi persebaran dan pemanfaatan gayam [Inocarpus fagifer (Parkinson ex Zollinger) Fosberg] di daerah istimewa Yogyakarta [Study of the distribution and utilization of gayam [Inocarpus fagifer (Parkinson ex Zollinger) Fosberg] in the special region of Yogyakarta. Biosfera, 28(3), 140– 151. https://doi.org/10.20884/1.mib.2011.28.3.271 Ye, M., Zhu, X., Gao, P., Jiang, L., & Wu, R. (2020). Identification of quantitative trait loci for altitude adaptation of tree leaf shape with Populus szechuanica in the Qinghai-Tibetan plateau. Frontiers in Plant Science, 11(632), 1–13. https://doi.org/10.3389/fpls.2020.00632 Wang, C., Lu, H., Zhang, J., Mao, L., & Ge, Y. (2019). Bulliform phytolith size of rice and its correlation with hydrothermal environment: A preliminary morphological study on species in Southern China. Frontiers in Plant Science, 10, 1037. https://doi.org/10.3389/fpls.2019.01037 Zuch, D. T., Doyle, S. M., Majda, M., Smith, R. S., Robert, S., & Torii, K. U. (2022). Cell biology of the leaf epidermis: Fate specification. morphogenesis and coordination. The Plant Cell, 34(1), 209–227. https://doi.org/10.1093/plcell/koab250. https://doi.org/10.1007/s00468-002-0235-x https://doi.org/10.1093/treephys/tpx073 https://doi.org/10.1093/treephys/tpx073 https://doi.org/10.1016/j.cub.2011.04.044 https://doi.org/10.13057/psnmbi/m010111 https://doi.org/10.3390/f12010041 https://doi.org/10.3390/plants9050566 https://doi.org/10.1016/j.ecolind.2021.107857 https://doi.org/10.3906/bot-1110-1 https://doi.org/10.1093/aob/mcab052 https://doi.org/10.3390/f13030420 https://doi.org/10.1037/0033-2909.126.1.78 https://doi.org/10.20884/1.mib.2011.28.3.271 https://doi.org/10.3389/fpls.2020.00632 https://doi.org/10.3389/fpls.2019.01037 https://doi.org/10.1093/plcell/koab250