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Measurement of ecological niche of Quercus aliena and Q. serrata under environmental factors treatments and its meaning to ecological distribution
  • 비영리 CC BY-NC
  • 비영리 CC BY-NC
ABSTRACT
Measurement of ecological niche of Quercus aliena and Q. serrata under environmental factors treatments and its meaning to ecological distribution
KEYWORD
distribution , environmental factor , multivariate analysis , niche breadth , niche overlap
  • INTRODUCTION

    Ecological niche had been introduced by Grinnell (1917) who interpreted it as the ultimate distributional unit of a species in a spatial sense. Later, the ecological niche was used explaining the niche functional aspects when describing an organism’s place in its biotic environment in connection with its nutrition (Elton 1927). Hutchinson (1957) reported that niche is the sum of all the environmental factors acting on the organism, a region of an n-dimensional hypervolume. Ecological niche was also defined as the functional role or status of the organism within its community and ecosystem resulting from the organism’s structural adaptations, physiological responses, and specific behavior (Odum 1969).

    Ecological niche has been divided into two categories, ecological niche breadth and ecological niche overlap. The niche breadth of a given species and for a given parameter is the range of environmental tolerance between the maximum and minimum of that parameter, under which the species may survive. It is the scope of tolerance and is dependent on the response of a species to the environmental factor which it describes. Species with small niche breadths refer to species with narrower distributions within nature, and smaller sizes of populations. whereas an organism with a larger niche breadth refers to its wider range in nature and larger size of populations owing to its adaptability to changing environments (Pianka 1983).

    Ecological niche overlap means a similar response to an environmental factor or the utilization of the same natural resource by two or more species, and because competition intensity increases with higher niche overlap (Schoener 1970, Hanski 1978, Hulbert 1978, Yimin et al. 2006), intra- or interspecific competitions can be estimated and compared by ecological niche overlap (Abrams 1980).

    In Korea, deciduous oak species dominate in the south and central regions (Kim et al. 1981). Q. serrata is widespread in lowlands of the central region and the entire region of south (Chung and Lee 1965). Q. serrata is distributed in an optimum: warmth index of 67-92℃·month; geographic location of 35°00 to 36°30 N; and altitude of 317 m above sea level (Yim and Baek 1985, Yang 2001). Q. serrata is recognized as a climax species of forest succession in the south region of Korea (Park 1984, Kim and Kil 2000, Sim and Han 2003, Lee 2007, Song 2007). Q. serrata is mainly distributed in the south and is described as dominant tree species in cool temperate forests (Kim and Lee 2006).

    Q. aliena occurs within Korean forests, in the optimum: warmth index of 67-98℃·month: with geographic location of 35°00 to 37°70 N; and altitude of 298 m above sea level (Yim and Baek 1985, Yang 2001). Contrary to Q. serrata which is usually the dominant overstory layer, Q. aliena composes the understory vegetation of secondary forests in the lowlands of the Korean Peninsula (Song 2007). This species is also an important relict vegetation of older forests and culturally important sites, such as Changdeok Palace, Secret Garden and Gongsanseong Fortress in Korea (Oh and Lee 1986) and is an instantly recognizable facet of Korean heritage.

    However, Q. serrata and Q. aliena in Kwangnung Experimental Forest appeared together as a dominant species (You et al. 1995). They have been reported as potentially being the natural climax state of riverside vegetation within Korea (Kim et al. 2008a), and the edaphic climax species in moist lowland forests (Lee 2007, Song 2007). Also, Kim and Kim (1994) determined that Q. aliena was better able to adapt itself to moist conditions than other deciduous species. In contrast, Han et al. (2009) later reported that Q. serrata grew better than Q. aliena under conditions of flooding.

    Over the past few years, only several studies based upon manipulative experiments for these two species’ ecological traits. Thus, in order to understand the ecological difference and similarity between these two oak species in the natural forest, it is essential to examine each of their ecological niches, based on experimental data obtained from several controlled environment treatments (Grime et al. 1998). Linking the observed distributions of species in their native ranges to ecological niches offers a framework for predicting species distributions (Albright et al. 2010). The object of this study is to clarify these ecological characteristics in order to explain the distribution of these two oak species. Thus, we conducted growth analysis and measured ecological niche breadth and overlap between Q. serrata and Q. aliena in terms of the major environmental resources for early seedling growth.

    METERIALS AND METHODS

      >  Collecting seeds of two oak species

    The seeds of both oak species were collected from the foot of a mountain at Shingwan-dong, Gongju-city, Chungnam Province, with a geographic location of 127°07′ E to 36°27′ N, and an altitude of 27 m above sea level in October of 2009. The seeds were sorted according to similarity of size, and were then stored at 4℃ for approximately 6 months, until they were sown prior to the initiation of the experiment. Two acorns of each species were sown in each of 48 pots (diameter 23.5 cm, height 24 cm) filled with sterilized river bed sand in April, 2010, and the acorns germinated after 2-3 weeks.

      >  Gradients of environmental factor

    Three environmental factors, light, moisture and nutrient, were known to usually be the most important agents influencing the distribution of plants (Barbour et al. 1987). The seedlings of each species were treated with these three environmental factors, each consisting of 4 gradients. There were four replications of each treatment for each species, giving a total of 8 seedlings applied to each treatment, and an overall total of 96 seedlings.

    The four gradients of the light factor treatment were as follows: L4 (high light) (100% of full light within the greenhouse, 787.75 ± 77.76 μ mol m-2 s-1), L3 (medium high) (50% of full light, 389 ± 45.66 μ mol m-2 s-1), L2 (medium low) (30% of full light, 156.2 ± 29.15 μ mol m-2 s-1), L1 (low alilight) (10% of full light, 76.8 ± 2.16 μ mol m-2 s-1). Light was controlled by varying the number of layers of shade cloth surrounding each treatment. Light intensity was determined with a portable LI-COR (Model 250A; Li-Cor, Lincoln, NE, USA) light meter once a day, and average values were calculated.

    The four gradients of the water factor treatment were categorized as M4-M1 (mL water/plant), which was provided to the plants every 3-4 days: M4 (700 mL), M3 (500 mL), M2 (300 mL), M1 (100 mL). The reference volume of water was determined by calculating moisture carrying capacity (700 mL) of a pot, and the remaining gradients (M3-M1) were determined by reducing the volume of each by 200 mL, so as to cover a range of moisture conditions.

    The nutrient treatment was also classified into four levels: N4 (15%: 127.5 mg NH4+ -N, 82.5 mg NO3-N), N3 (10%: 85 mg NH4+ -N, 55 mg NO3-N), N2 (5%: 42.5mg NH4+ -N, 27.5mg NO3-N), N1 (0%: none). Potting media in the nutrient experiment were fortified once only at the start of the experiment at rates of 15%, 10%, 5% and 0% fertilizer which containing an ammonium nitrogen content of below 170 mg/L, and nitrate nitrogen at a concentration of 110 mg/L (Bio-Best bed soil, Seminis) per 1 kg of sand.

      >  Cultivation and measurements

    The seedlings of Q. serrata and Q. aliena were cultivated in the glasshouse of Kongju National University from May to October 2010. Harvested seedlings were dissected and separated into shoots, roots and leaves of them with washing root part of the seedlings. We measured the petiole length, the stem length, the shoot length and the root length with a ruler in centimeter levels (cm). We also weighed the leaf weight, the petiole weight, the lamina weight, the stem weight, the shoot weight, root weight and total weight (g). The lamina length (cm), the leaf width (cm) were measured with a SKYE model SI700 plant analysis systems (SKYE, Wales, UK) and the leaf area (cm2) were analyzed by leaf area v1.11 (Skye, 2007). Stem diameter (cm) was measured slightly above the root collar by using digital calipers (Mitutoyo, Kawasaki, Japan). All parts of the plants were dried at 70℃ for 48 h before weighing.

      >  Ecological niche breadth and ecological niche overlap

    The proportional response of plants for each treatment, and along each gradient was calculated as a proportion of the sum of responses over all states (e.g., the total leaf area of each treatment was expressed as a proportion of the total leaf area for that species as the sum of all four treatments). Niche breadths were calculated for each treatment and gradient combination as follows (Levins 1968):

    B = 1/ Σ (Pi 2) S

    B: niche breadth (Levins' B)

    Pi: relative response of a given species to the whole gradients that is realized in gradient i

    S: total number of gradients that is all treatments

    Niche overlap, the equivalency of responses between two oak species was assessed by proportional similarity between pairs of two oak species. Proportional similarity (Schoener 1970) was calculated as:

    PS = 1 ? 1/ 2Σ | Pij - Pih|

    PS = proportional similarity (niche overlap)

    Pij = relative response of species j in the i the gradient

    Pih = relative response of species h in the j the gradient

      >  Statistical analysis

    We conducted cluster analysis and principal component analysis by STATISTICA 7 (Statsoft, Inc., Tulsa, OK, USA) in order to clarify overall tendency of growth responses of both species according to environmental resource factors. The cluster analysis was used in terms of unweighted pair-group average, following estimated Euclidean distance, and principle component analysis (PCA) used spearman’s correlation value of measured variables (Noh and Jeong 2002).

    RESULTS

      >  Ecological niche breadth

    In niche breadth of Q. aliena, the characters related with leaf area, lamina length, leaf width length, petiole length, stem length, shoot length, stem diameter, root length, stem weight and shoot weight were high in the range of 0.931-1.000 in the three environmental resource treatments (Table 1). However, niche breadth of lamina weight, petiole weight, leaf weight, root weight and total weight was varied along the environmental factors; nutrient (0.958-0.993) was wider than moisture (0.691-0.985) or light (0.529-0.939). Over all, the niche breadth of Q. aliena decreased in the order of nutrient (0.985), moisture (0.958) and light (0.913).

    In niche breadth of Q. serrata, the characters such as leaf area, lamina length, leaf width length, petiole length, stem length, shoot length, stem diameter, root length, lamina weight, stem weight and shoot weight, were high in the range of 0.915-0.999 in all the environmental resource

    [Table 1.] Niche breadth of Quercus aliena along each environmental factor

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    Niche breadth of Quercus aliena along each environmental factor

    [Table 2.] Niche breadth of Quercus serrata along each environmental factor

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    Niche breadth of Quercus serrata along each environmental factor

    treatments (Table 2). But, niche breadth of petiole weight, leaf weight, root weight and total weight was varied; nutrient (0.932-0.998) was wider than moisture (0.745-0.974) or light (0.651-0.997). Average niche breadth of Q. serrata decreased according to nutrient (0.983), moisture (0.963) and light (0.926). As a result, light is the most important treatment because of narrower niche breadth and difference of niche breadth value between two oak species in light.

      >  Ecological niche overlap

    Ecological niche overlap between Q. aliena and Q. serrata was 0.948 for light, 0.927 for nutrient resources and 0.921 for moisture (Table 3). For light treatment, with the exception of petiole length (0.897), overlap of all characters was high 0.900-0.986. For light gradients, ecological niche overlap between two oaks was highest in the range of 0.897-0.986 among three environmental resources determined, indicating that the majority of inter-competition between the two species is based on light resources.

    For nutrient treatment, leaf area (0.894) and leaf weight (0.875) were relatively narrower, while the others were relatively wider (0.904-0.973). Lamina, petiole and total weight and stem diameter were shown to have a somewhat narrower overlap (0.826-0.897) between two oak species where moisture treatment. On the other hand, the rest of the characters showed a wider overlap (0.091-

    [Table 3.] Niche overlap between Quercus aliena and Q. serrata along each environmental factor

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    Niche overlap between Quercus aliena and Q. serrata along each environmental factor

    0.964) (Table 3). These results mean that two oak species have also broader resource utilization in nutrient and moisture, but the extent of competition is less than light.

      >  Cluster analysis

    The environmental responses of two oak species was discriminated into two groups (Fig. 1). All the moisture and nutrient treatments, and light 3 level and 4 level of two species were clustered together in group I. Within

    group I, the individual oaks were again divided into two sub groups: sub-group 1 (Qal-N2 to Qal-L3), sub-group 2 (Qal-N4 to Qs-L3). Qal-N4 and -N3 belonged to group of Q. serrata (Qs). Group II consisted of the lower light conditions light 1 (L1) and 2 (L2) of both species. The response of the two oak species was the same to moisture level 3 (M3) and light level 4 (L4).

      >  Principal component analysis

    PCA was carried out on 15 eco-morphological variables (Fig. 2). Individuals of Q. aliena and Q. serrata were plotted in the space defined by first two factor axes. Approximately, two oak species were discriminatively arranged up (Qs, Q. serrata) and down (Qal, Q. aliena) based on transversal line. Also, the configuration plot showed that nutrient (-N) and moisture (-M) requirements of both oak species were very close to each other on the left, but the light treatments (-L), especially lower light intensities (-L1, L2), were far away to the right, indicating that two oaks species have different responses to low light conditions. It is clearly visible that all features (15 variables) relied on axis 1 and axis II are highly correlated with most variables, except root length and petiole weight (r < 0.5) (Table 4).

    [Table 4.] Correlation matrix of 15 variables with the first two principal component scores of principle component analysis analysis

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    Correlation matrix of 15 variables with the first two principal component scores of principle component analysis analysis

    DISCUSSION

    The response of the two oak species to environmental resources was related with most of the measured characters rather, and more strongly related to a few dominant one. Within the similar habitats plant species display character convergence in terms of their physiology and life history (Cody and Mooney 1978, Walter 1985). Our results of the niche breadth of two oaks species were widest where nutrient treatments were concerned and narrowest where light treatment were concerned. Therefore, where any reasonable nutrient and moisture availability exists and in generally healthy natural conditions, light is the most influential factor for the two oaks species. According to Kim et al. (2008b), niche breadth of Q. acutissima and Q. variabilis were the narrowest for light treatment. When the two species were compared (Tables 1 and 2), the niche breadth of Q. serrata was found to be broader than that of Q. aliena in terms of light and moisture resources, while both species were similar to each other in terms of nutrient resources. The broader niche breadth becomes, the more the dominance of a species increases, and similarly, a species with narrow niche breadth has a more restrictive habitat requirement (Paine et al. 1981). The results of this study indicate that Q. serrata has a relatively broader ecological distributions in terms of light and moisture resources than does Q. aliena.

    In general, most early successional species have a relatively low shade tolerance and a broad ecological niche breadth in terms of light, due to their low light saturation point (Mandaak and Py?ek 2001). Also, the ecological niche breadth of early successional species is wider than that of late successional species (Lee and Bazzaz 1985). According to our study, the niche breadth of Q. serrata was broader than that of Q. aliena, and the reduction in growth of Q. aliena was greater than that of Q. serrata under shaded conditions (Ha 1989, Lim et al. 2012). Thus, we can determine that Q. serrata is more adapted to shade conditions than Q. aliena.

    We found that the ecological niche overlap of the two oak species was broader in terms of light conditions than in terms of water or nutrient availability (Table 3). Thus, competition between Q. aliena and Q. serrata for light may be strong. Competition should be understood in connection with the niche concept, since some similarity or overlap in niches is a prerequisite of competition, and since niche shifts provide the clearest evidence of competition (Diamond 1978). If species have identical ecological niches, they could not avoid intraspecific and interspecific competition (Abrams 1980). The extent of niche overlap is determined by their respective resource utilization, and the extent of competition is related to the degree of overlap dimension. Each dimension in the niche space represents an environmental variable, potentially or actually important for species persistence. Species have tendencies to narrow their niches due to interspecific competition and intraspecific optimization. Consequently, niche widening often occurs when the species is released from interspecific competition (Polechova and Storch 2008). Therefore intraspecific competition is intense competition due to a broad niche overlap of their equipollency ecological niche. The two oaks species are distributed in the flood plain of natural river systems of South Korea (Kim et al. 2008a). Our result showed broader niche breadth of both species according to soil moisture and nutrient availability, and niche overlap between two species was lowest in terms of soil moisture. There is at least some competition between Q. serrata and Q. aliena though the two species can live together without competition for moisture.

    Light is an important factor for early germination and seedling growth (Grime and Jeffrey 1965, Grime 1979, Canham et al. 1990, Gaudio et al. 2011, Jensen et al. 2012). Also, Hong and Nakagoshi (1998) reported that successful germination and sapling growth of oak in early successional stages is determined to a high degree by light conditions. We have discussed that Q. serrata is more shade tolerant than Q. aliena. Nonetheless, two oak species may be influenced by light due to the result of this niche overlap. This is somewhat consistent with the other experimental results. Baek and Cho (1996) found that light actually affected the growth of seedlings of Q. serrata. In fact, Q. serrata is highly dependent on light resources and is somewhat specialized in its preference for high light condition. Q. aliena showed an increased diameter growth compared to a further 5 deciduous oak species (Q. acutissima, Q. aliena, Q. dentata, Q. mongolica, Q. serrata) under 100% and 75% light treatments (Korea Forest Research Institute 1989). Also, Q. serrata is a representative of heliophilous trees which invade, and eventually replace grasslands in temperate regions of Japan (Yanhong et al. 1994). These results show that the factor of light clearly influenced both species which dominate this region of South Korea.

    In terms of the results of cluster analysis, PCA compared well with clustering classification (Fig. 1). As Fig. 2 indicates, individuals of both oak species were found to be spatially overlapped in terms of those factors of axis I (-M and -N, L-1 and L-2) and to a lesser degree by those of axis II. The distinguishing characteristics of two oak species was related with axis II. Nutrient (-N) and moisture (-M) responses of the two oak species were closely located within the left group, and light levels (-L) except high light levels (L-3, L-4) were located on the right (Fig. 2). Based on the PCA, the ecological responses of the two oak species have similar patterns of cluster analysis (ex. Qal-N3, Qal- N4) in Q. serrata group I, indicating that the two oak species had an analogous response to a high nutrient conditions, and suggesting that two oak species have similar ecological responses to moisture and nutrient resources, but different responses to low light conditions. Lower light conditions of two oaks species respectively located up (Qs, L-1 and -2) and down (Qal, L-1 and -2) based on transversal line. These results determined that the spatial overlapping of the two oak species differ significantly from other deciduous oak species (Kim et al. 2008a, Lee and You 2009). The indices of niche breadth and niche overlap can be used to reflect the ecological specialization of the species within their particular environments, as well as the potential for competition with co-occurring organisms (Levins 1968). It was inferred from these data that both oak species entail the classical way to avoid or minimize competition in varying light conditions, through the differentiation of their specific light requirements.

    The results of Table 4 validate the above results. The most correlation values with measured features (r < 0.5) means that the selected 15 variables were involved in ecological responses of both two oak species. These observations suggest that the configuration of the PCA of 24 individuals of Q. aliena and Q. serrata can be achieved either with factor I and factor II (Table 4).

    Finally, both oak species have narrower ecological niche breadths and a wide ecological niche overlap in relation to light resources, and the response pattern of the two oak species to the light factor was more pronounced than that for moisture or nutrient factors. These results mean that two oak species are clearly more influenced by light resources than water or nutrient resources.

참고문헌
  • 1. Abrams P 1980 Some comments on measuring niche overlap [Ecology] Vol.61 P.44-49 google cross ref
  • 2. Albright TP, Chen H, Chen L, Guo Q 2010 The ecological niche and reciprocal prediction of the disjunct distribution of an invasive species: the example of Ailanthus altissima [Biol Invasions] Vol.12 P.2413-2427 google cross ref
  • 3. Baek MS, Cho DS 1996 An experimental study on the comparison of the establishment and growth of seedlings among three oak species [Korean J Ecol] Vol.19 P.125-139 google
  • 4. Barbour MG, Burk JH, Pitts WD 1987 Terrestrial Plant Ecology google
  • 5. Canham CD, Denslow JS, Platt WJ, Runkle JR, Spies TA, White PS 1990 Light regimes beneath closed canopies and tree-fall gaps in temperate and tropical forests [Can J For Res] Vol.20 P.620-631 google cross ref
  • 6. Chung TH, Lee WC 1965 A study of the Korean woody plant zone and favorable region for the growth and proper species [Thesis Collect Sungkyunkwan Univ] Vol.10 P.329-435 google
  • 7. Cody ML, Mooney HA 1978 Convergence versus nonconvergence in Mediterranean-climate ecosytems [Annu Rev Ecol Syst] Vol.9 P.265-321 google cross ref
  • 8. Diamond JM 1978 Niche shifts and the rediscovery of interspecific competition [Am Sci] Vol.66 P.322-331 google
  • 9. Elton CS 1927 Animal Ecology google
  • 10. Gaudio N, Balandier P, Philippe G, Dumas Y, Jean F, Ginisty C 2011 Light-mediated influence of three understorey species (Calluna vulgaris, Pteridium aquilinum, Molinia caerulea) on the growth of Pinus sylvestris seedlings [Eur J For Res] Vol.130 P.77-89 google cross ref
  • 11. Grime JP 1979 Plant Strategies and Vegetation Processes google
  • 12. Grime JP, Hodgson JG, Hunt R 1998 Comparative Plant Ecology: A Functional Approach to Common British Species google
  • 13. Grime JP, Jeffrey DW 1965 Seedling establishment in vertical gradients of sunlight [J Ecol] Vol.53 P.621-642 google cross ref
  • 14. Grinnell J 1917 The niche relationships of the California thrasher [Auk] Vol.34 P.427-433 google cross ref
  • 15. Ha SH 1989 Performance and photosynthesis of seedlings of several Quercus plants grown under the different light intensities google
  • 16. Han SJ, Kim HJ, You YH 2009 Selection on tolerant oak species to water flooding for flood plain restoration [J Wetl Res] Vol.11 P.1-7 google
  • 17. Hanski I 1978 Some comments on the measurement of niche metrics [Ecology] Vol.59 P.168-174 google cross ref
  • 18. Hong SK, Nakagoshi N 1998 Comparison of the initial demographies of pine and oak populations in rural pine forests in Korea and Japan [J Plant Biol] Vol.41 P.208-218 google cross ref
  • 19. Hulbert SH 1978 The measurement of niche overlap and some relatives [Ecology] Vol.59 P.67-77 google cross ref
  • 20. Hutchinson GE 1957 Concluding remarks [Cold Spring Harb Symp Quant Biol] Vol.22 P.415-427 google cross ref
  • 21. Jensen AM, Gardiner ES, Vaughn KC 2012 High-light acclimation in Quercus robur L. seedlings upon over-topping a shaded environment [Environ Exp Bot] Vol.78 P.25-32 google cross ref
  • 22. Kim HJ, Shin BK, You YH, Kim CH 2008a A study on the vegetation of the present-day potential natural state of water for flood plain restoration in South Korea [Korean J Environ Ecol] Vol.22 P.564-594 google
  • 23. Kim HR, Jeong HM, Kim HJ, You YH 2008b Ecological Niche of Quercus acutissima and Quercus variabilis [Korean J Environ Biol] Vol.26 P.385-391 google
  • 24. Kim JU, Kil BS 2000 The Mongolian Oak Forest in Korea google
  • 25. Kim JW, Kim JH 1994 Stomatal control and strategy segregation to drought stress in young trees of several oak species [Korean J Ecol] Vol.17 P.241-249 google
  • 26. Kim JW, Lee YK 2006 Classification and Assessment of Plant Communities google
  • 27. Kim YS, Ko SC, Oh BU 1981 Distribution Atlas of Plants of Korea-Atlas of Fagaceae google
  • 28. 1989 Chapter 4: Propagation and establishment of oak species. In: Studies on the development and utilization of Korean oak resources (II) (Cho JM, ed). P.141-210 google
  • 29. Lee HJ, You YH 2009 Ecological Niche Breadth of Q. mongolica and overlap with Q. acutissima and Q. variabilis along with three environment gradients [Korean J Environ Biol] Vol.27 P.191-197 google
  • 30. Lee HS, Bazzaz FA 1985 Within and between species ecological variation in Polygonum pensylvanicum and Polygonum virginianum [J Seowon Thesis Collect] Vol.15 P.273-291 google
  • 31. Lee MJ 2007 Community structure analysis and ecological planting model subject of the principal Quercus community in Korea google
  • 32. Levins R 1968 Evolution in Changing Environments google
  • 33. Lim H, Kim HR, You YH 2012 Growth difference between the seedlings of Quercus serrata and Q. aliena under light, moisture and nutrient gradients [J Wetl Res] Vol.14 P.237-242 google
  • 34. Mandaak B, Py?ek P 2001 The effects of light quality, nitrate concentration and presence of bracteoles on germination of different fruit types in the heterocarpous Atriplex sagittata [J Ecol] Vol.89 P.149-158 google cross ref
  • 35. Noh HJ, Jeong HY 2002 Understanding of Statistical Analysis by STATISTICA google
  • 36. Odum EP 1969 The strategy of ecosystem development [Science] Vol.164 P.262-270 google cross ref
  • 37. Oh KK, Lee KJ 1986 Phytosociological studies on natural vegetation in Hoo-Won, Changduk Palace [J Korean Inst Landsc Archit] Vol.14 P.27-42 google
  • 38. Paine TD, Birch MC, ?vihra 1981 Niche breadth and resource partitioning by four sympatric species of bark beetles (Coleoptera: Scolytidae). [Oecologia] Vol.48 P.1-6 google cross ref
  • 39. Park HJ 1984 Studies on the distribution and ecological characteristics of the major Quercus spp. in the middle temperate zone in Korea. google
  • 40. Pianka ER 1983 Evolutionary Ecology google
  • 41. Polechova J, Storch D 2008 Ecological niche. In: Evolutionary Ecology. Encyclopedia of Ecology. Vol. 2 (Jørge nsen SE, Fath BD, eds). P.1088-1097 google
  • 42. Schoener TW 1970 Nonsynchronous spatial overlap of lizards in patchy habitats [Ecology] Vol.51 P.408-418 google cross ref
  • 43. Sim JS, Han SS 2003 Ecophysiological characteristics of deciduous oak species (3): photosynthetic responses of leaves to change of light intensity. [J Korean For] Vol.92 P.208-214 google
  • 44. Song MS 2007 Analysis of distribution and association structure on the Sawtooth oak (Quercus acutissima) forest in Korea. google
  • 45. Walter H 1985 Vegetation of the Earth and Ecological Systems of the Geo-biosphere google
  • 46. Yang KC 2001 Classification of major habitats based on the climatic conditions and topographic features in Korea. google
  • 47. Yanhong T, Hiroshi K, Mitsumasa S, Izumi W 1994 Characteristics of transient photosynthesis in Quercus serrata seedlings grown under lightfleck and constant light regimes. [Oecologia] Vol.100 P.463-469 google cross ref
  • 48. Yim YJ, Baek SD 1985 The Vegaetation of Mt. Seolag. google
  • 49. Yimin L, Xihao S, Chongying G 2006 Niche width and niche overlap: a method based on type-2 fuzzy sets. [Ecol Res] Vol.21 P.713-722 google cross ref
  • 50. You YH, Gi KJ, Han DU, Kwak YS, Kim JH 1995 Succession and heterogeneity of plant community in Mt. Yongam, Kwangnung experimental forest. [Korean J Ecol] Vol.18 P.89-97 google
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  • [ Table 1. ]  Niche breadth of Quercus aliena along each environmental factor
    Niche breadth of Quercus aliena along each environmental factor
  • [ Table 2. ]  Niche breadth of Quercus serrata along each environmental factor
    Niche breadth of Quercus serrata along each environmental factor
  • [ Table 3. ]  Niche overlap between Quercus aliena and Q. serrata along each environmental factor
    Niche overlap between Quercus aliena and Q. serrata along each environmental factor
  • [ Fig. 1. ]  Unweighted pair-group average clustering of two species treated with three environmental factors (L, light treatment; M, moisture; N, nutrient). Numerals within plot indicate treatment gradients in each environmental factor. Qal, Quercus aliena; Qs, Q. serrata.
    Unweighted pair-group average clustering of two species treated with three environmental factors (L, light treatment; M, moisture; N, nutrient). Numerals within plot indicate treatment gradients in each environmental factor. Qal, Quercus aliena; Qs, Q. serrata.
  • [ Fig. 2. ]  Principle component analysis ordination of 24 individuals of Quercus aliena (Qal) and Q. serrata (Qs) using 15 variables treated with three environment factors (L, light treatment; M, moisture; N, nutrient). Numerals within plot indicate treatment gradients in each environmental factor.
    Principle component analysis ordination of 24 individuals of Quercus aliena (Qal) and Q. serrata (Qs) using 15 variables treated with three environment factors (L, light treatment; M, moisture; N, nutrient). Numerals within plot indicate treatment gradients in each environmental factor.
  • [ Table 4. ]  Correlation matrix of 15 variables with the first two principal component scores of principle component analysis analysis
    Correlation matrix of 15 variables with the first two principal component scores of principle component analysis analysis
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