Population structure and spatial pattern analysis of Quercus aquifolioides on Sejila Mountain, Tibet, China

Zhiqiang Shen , Jie Lu , Min Hua , Xiaoqin Tang , Xingle Qu , Jingli Xue , Jiangping Fang

Journal of Forestry Research ›› 2017, Vol. 29 ›› Issue (2) : 405 -414.

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Journal of Forestry Research ›› 2017, Vol. 29 ›› Issue (2) : 405 -414. DOI: 10.1007/s11676-017-0444-1
Original Paper

Population structure and spatial pattern analysis of Quercus aquifolioides on Sejila Mountain, Tibet, China

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Abstract

Understanding population structure provides basic ecological data related to species and ecosystems. Our objective was to understand the mechanisms involved in the maintenance of Quercus aquifolioides populations. Using a 1 ha permanent sample plot data for Q. aquifolioides on Sejila Mountain, Tibet Autonomous Region (Tibet), China, we analyzed the population structure of Q. aquifolioides by combining data for diameter class, static life table and survival curve. Simultaneously, the spatial distribution of Q. aquifolioides was studied using Ripley’s L Function in point pattern analysis. The results showed: (1) Individuals in Q. aquifolioides populations were mainly aggregated in the youngest age classes, that accounted for 94.3% of the individuals; the older age classes had much smaller populations. Although the youngest age classes (Classes I and II) had fewer individuals than Class III, the total number of individuals in classes I and II was also greater than in classes IV to IX. In terms of tree height, few saplings, more medium-sized saplings and few large-sized trees were found. The diameter class structure of Q. aquifolioides populations formed an atypical ‘pyramid’ type; the population was expanding, but growth was limited, tending toward a stable population. (2) Mortality of Q. aquifolioides increased continuously with age; life expectancy decreased over time, and the survivorship curve was close to a Deevey I curve. (3) The spatial distribution pattern of Q. aquifolioides varied widely across different developmental stages. Saplings and medium-sized tree showed aggregated distributions at the scales of 0–33 m and 0–29 m, respectively. The aggregation intensities of saplings and medium-sized trees at small scales were significantly stronger than that of large-sized trees. However, large-sized trees showed a random distribution at most scales. (4) No correlation was observed among saplings, medium- and large-sized trees at small scales, while a significant and negative association was observed as the scale increased. Strong competition was found among saplings, medium- and large-sized trees, while no significant association was observed between medium- and large-sized trees at all scales. Biotic interactions and local ecological characteristics influenced the spatial distribution pattern of Q. aquifolioides populations most strongly.

Keywords

Point pattern analysis / Population structure / Quercus aquifolioides / Sejila Mountain / Spatial distribution pattern

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Zhiqiang Shen, Jie Lu, Min Hua, Xiaoqin Tang, Xingle Qu, Jingli Xue, Jiangping Fang. Population structure and spatial pattern analysis of Quercus aquifolioides on Sejila Mountain, Tibet, China. Journal of Forestry Research, 2017, 29(2): 405-414 DOI:10.1007/s11676-017-0444-1

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References

[1]

Arista M. The structure and dynamics of an Abies pinsapo forest in southern Spain. For Ecol Manage, 1995, 74: 81-89.

[2]

Armesto JJ, Casassa I, Dollenz O. Age structure and dynamics of Patagonian beech forests in Torres del Paine National Park, Chile. Vegetatio, 1992, 98: 13-22.

[3]

Borchsenius F, Nielsen PK, Lawesson JE. Vegetation structure and diversity of an ancient temperate deciduous forest in SW Denmark. Plant Ecol, 2004, 175: 121-135.

[4]

Chen LT, Flynn DFB, Zhang XW, Gao XL, Lin L, Luo J, Zhao CM. Divergent patterns of foliarδ13C andδ15N in Quercus aquifolioides with an altitudinal transect on the Tibetan Plateau: an integrated study based on multiple key leaf functional traits. J Plant Ecol, 2015, 8: 303-312.

[5]

Cheng HM. Life table and survival analysis of Tilia breviradiata population in Dashu Mountain. J Zhejiang Univ (Agric Life Sci), 2010, 36: 341-347. (in Chinese)

[6]

Condit R, Ashton PS, Baker P, Bunyavejchewin S, Gunatilleke S, Gunatilleke N, Hubbell SP, Foster RB, Itoh A, LaFrankie JV, Lee HS, Losos E, Manokaran N, Sukumar R, Yamakura T. Spatial patterns in the distribution of tropical tree species. Science, 2000, 288: 1414-1418.

[7]

Crawley MJ. Plant ecology, 1986, London: Blackwell 97 185

[8]

Cui CM, Wang XA, Guo H, Li W. Structure and dynamic change of natural Pinus tabulaeformis populations in the Ziwuling forest area. Arid Zone Res, 2011, 28: 111-117. in Chinese)

[9]

Dale MRT. Spatial pattern analysis in plant ecology, 1999, Cambridge: Cambridge University Press 119

[10]

Deevey ES. Life tables for natural populations of animals. Q Rev Biol, 1947, 22: 283-314.

[11]

Díaz S, Mercado C, Alvarez-Cardenas S. Structure and population dynamics of Pinus lagunae M.-F, Passini. For Ecol Manage, 2000, 134: 249-256.

[12]

Didier KA, Porter WF. Relating spatial patterns of sugar maple reproductive success and relative deer density in northern New York State. For Ecol Manage, 2003, 181: 253-266.

[13]

Duan DY, Ouyang H, Song MH, Hu QW. Water sources of dominant species in three alpine ecosystems on the Tibetan Plateau, China. J Integr Plant Biol, 2008, 50: 257-264.

[14]

Frost I, Rydin H. Spatial pattern and size distribution of the animal-dispersed tree Quercus robur in two spruce-dominated forests. Écoscience, 2000, 7: 38-44.

[15]

Getzin S, Wiegand T, Wiegand K, He F. Heterogeneity influences spatial patterns and demographics in forest stands. J Ecol, 2008, 96: 807-820.

[16]

Greig-Smith P. Quantitative plant ecology, 1983, London: Blackwell 54 60

[17]

Grubb PJ. The maintenance of species-richness in plant communities: the importance of the regeneration niche. Biol Rev, 1977, 52: 107-145.

[18]

Hall JS, McKenna JJ, Ashton PMS, Gregoire TG. Habitat characterizations underestimate the role of edaphic factors controlling the distribution of Entandrophragma. Ecology, 2004, 85: 2171-2183.

[19]

Harcombe PA. Tree life tables. Bioscience, 1987, 37: 557-568.

[20]

Harms KE, Wright SJ, Calderón O, Hernández A, Herre EA. Pervasive density-dependent recruitment enhances seedling diversity in a tropical forest. Nature, 2000, 404: 493-495.

[21]

Harper JL. Population biology of plants, 1977, London: Academic Press 96

[22]

He FL, Legendre P, LaFrankie JV. Distribution patterns of tree species in a Malaysian tropical rain forest. J Veg Sci, 1977, 8: 105-114.

[23]

Johnson JB. Stand structure and vegetation dynamics of a subalpine wooded fen in Rocky Mountain National Park, Colorado. J Veg Sci, 1997, 8: 337-342.

[24]

Lan G, Getzin S, Wiegand T, Hu Y, Xie G, Zhu H, Cao M. Spatial distribution and interspecific associations of tree species in a tropical seasonal rain forest of China. PLoS ONE, 2012, 7: e46074.

[25]

Li CY, Zhang XJ, Liu XL, Luukkanen A, Berninger F. Leaf morphological and physiological responses of Quercus aquifolioides along an altitudinal gradient. Silva Fenn, 2006, 40: 5-13.

[26]

Li C, Wu C, Duan B, Korpelainen H, Luukkanen O. Age-related nutrient content and carbon isotope composition in the leaves and branches of Quercus aquifolioides along an altitudinal gradient. Trees, 2009, 23: 1109-1121.

[27]

Ma KM, Zu YG. Fractal properties of vegetation pattern. Acta Phytoecol Sin, 2000, 24: 111-117. (in Chinese)

[28]

Miyadokoro T, Nishimura N, Yamamoto S. Population structure and spatial patterns of major trees in a subalpine old-growth coniferous forest, central Japan. For Ecol Manage, 2003, 182: 259-272.

[29]

Nicotra AB, Chazdon RL, Iriarte SVB. Spatial heterogeneity of light and woody seedling regeneration in tropical wet forests. Ecology, 2008, 80: 1908-1926.

[30]

Ripley BD. Modelling spatial patterns. J R Stat Soc, 1977, 39: 172-212.

[31]

Skoglund J, Verwijst T. Age structure of woody species populations in relation to seed rain, germination and establishment along the river Dalälven, Sweden. Vegetatio, 1989, 82: 25-34.

[32]

Somanathan H, Borges RM. Influence of exploitation on population structure, spatial distribution and reproductive success of dioecious species in a fragmented cloud forest in India. Biol Cons, 2000, 94: 243-256.

[33]

Song MH, Zhou CP, Ouyang H. Distributions of dominant tree species on the Tibetan Plateau under current and future climate scenarios. Mt Res Dev, 2004, 24: 166-173.

[34]

Song YY, Li YY, Zhang WH. Analysis of spatial pattern and spatial association of Haloxylon ammodendron population in different developmental stages. Acta Ecol Sin, 2010, 30: 4317-4327. in Chinese)

[35]

Stewart GH. The dynamics of old-growth Pseudotsuga forests in the western Cascade Range, Oregon, USA. Vegetatio, 1989, 82: 79-94.

[36]

Thioulouse J, Chessel D, Doledec S, Olivier JM. Ade-4: a multivariate analysis and graphical display software. Stat Comput, 1997, 7: 75-83.

[37]

Wang XC, Zhang QB. Evidence of solar signals in tree rings of Smith fir from Sygera Mountain in southeast Tibet. J Atmos Solar Terr Phys, 2011, 73: 1959-1966.

[38]

Wang ZS, Liu H, Wei Na XuWX, An SQ, Liu SR. Effects of stand regeneration management regimes and age on genetic structure of Quercus aquifolioides (Sclerophyllous Oak) in Southwestern China. For Sci, 2009, 55: 142-148.

[39]

Wang L, Sun QW, Hao CY, Tian SN, Zhang SS, Chen YK, Zhang XP. Point pattern analysis of different age class Taxus chinensis var. mairei individuals in mountainous area of southern Anhui Province. Chin J Appl Ecol, 2010, 21: 272-278. (in Chinese)

[40]

Wang YF, Čufar K, Eckstein D, Liang EY. Variation of maximum tree height and annual shoot growth of Smith fir at various elevations in the Sygera Mountains, southeastern Tibetan Plateau. PLoS ONE, 2012, 7: e31725.

[41]

Wiegand T, Moloney KA. Rings, circles, and null-models for point pattern analysis in ecology. Oikos, 2004, 104: 209-229.

[42]

Wiegand T, Gunatilleke S, Gunatilleke N. Species associations in a heterogeneous Sri Lankan dipterocarp forest. Am Nat, 2007, 170: E77-E95.

[43]

Wu XP, Zheng Y, Ma KP. Population distribution and dynamics of Quercus liaotungensis, Fraxinus rhynchophylla and Acer mono in Dongling Mountain, Beijing. Acta Bot Sin, 2002, 44: 212-223. (in Chinese)

[44]

Yang QS, Zhao Y. Concentrations and pollution assessment of six heavy metals in Quercus aquifolioides forest soils. Adv Mater Res, 2013, 807–809: 184-189.

[45]

You HZ, Liu XL, Miao N, He F, Ma QY. Individual association and scale effect of spatial pattern of Quercus aquifolioides populations along the elevation gradients. Acta Ecol Sin, 2010, 30: 4004-4011. (in Chinese)

[46]

Zhang YD, Liu SR, Zhao CM. Spatial pattern of sub-alpine forest restoration in west Sichuan. Chin J Appl Ecol, 2005, 16: 1706-1710. (in Chinese)

[47]

Zhang XW, Zhang XP, Guo CY, Zhang Q. Point pattern analysis of Pteroceltis tatarinowii population at its different development stages in limestone mountain area of north Anhui, East China. Chin J Ecol, 2013, 32: 542-550. in Chinese)

[48]

Zhou HR, Xu M, Pan HL, Yu XB. Leaf-age effects on temperature responses of photosynthesis and respiration of an alpine oak, Quercus aquifolioides, in southwestern China. Tree Physiol, 2015, 35: 1236-1248.

[49]

Zhu WZ, Wang SG, Yu DZ, Jiang Y, Li MH. Elevational patterns of endogenous hormones and their relation to resprouting ability of Quercus aquifolioides plants on the eastern edge of the Tibetan Plateau. Trees, 2014, 28: 359-372.

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