Geostatistical analysis on the spatial pattern of Quercus mongolica population in different communities.

doi:10.13287/j.1001-9332.201805.017

Abstract

Abstract: Taking Quercus mongolica population in the secondary forest of Q. mongolica as the research object, two plots in different stages of succession (A and B) were set up in Tazigou Forest Farm of Wangqing Forestry Bureau, Jilin Province. By applying the method of adjacent grid survey, each plot was divided into 100 units of 10 m×10 m and the spatial coordinates of each tree in the unit were accurately located to survey all the basic information of trees with diameter at breast height (DBH)≥1 cm. The degree, composition, scale and pattern of spatial heterogeneity of individual tree of Q. mongolica were analyzed by means of semi-variance function and fractal dimension of geostatistics. By using Kriging interpolation method, unbiased estimation of tree attribute with spatial autocorrelation was carried out, distribution map was drawn and spatial distribution pattern was analyzed. The results showed that the best semi-variance function of tree attributes in two plots was mainly distributed in an exponential model and a spherical model with an aggregated distribution. The degree of spatial autocorrelation and continuity of plot A were higher than that of plot B. The DBH and the east-west crown (C_EW) had strong spatial heterogeneity and autocorrelation in the two plots. The tree attributes of both plots showed strong spatial heterogeneity in the north-south direction. In addition, there was strong spatial heterogeneity in the northwest-southeast direction of plot A and in the northeast-southwest of plot B. The strength of the spatial heterogeneity was higher and the scale being larger in plot A. The variations of DBH and C_EW were obvious in plot A, while the variations of C_EW and south-north crown (C_SN) were obvious in plot B. The fractal dimension and semi-variogram function showed the same result. The tree attributes of plot A were mainly patchy and stripe, and the variation trend of spatial distribution pattern was obvious. The tree attributes of plot B was broken, with complex pattern. Those results indicated that the characteristics of population, community development, spatial scale and spatial horizontal direction might affect the spatial pattern of populations. The geostatistical analysis method is helpful to quantitatively and directly describe population growth and development trend, which can provide a theoretical basis for the sustainable management of Q. mongolica secondary forests in Northeast China.

CHEN Ke-yi, ZHANG Hui-ru, LEI Xiang-dong. Geostatistical analysis on the spatial pattern of Quercus mongolica population in different communities.[J]. Chinese Journal of Applied Ecology, 2018, 29(5): 1542-1550.

References

[1] Zong G (宗国), Bai X-J (白雪娇), Zhang S-Y (张淑媛), et al. Spatial pattern and interspecific spatial association of tree seedlings in a secondary forest in montane region of eastern Liaoning Province, China. Chinese Journal of Applied Ecology (应用生态学报), 2018, 29(1): 18-24 (in Chinese)
[2] Xu Z-Q (许中旗), Wang Y-H (王义弘). Research advances in Quercus mongolica. Hebei Journal of Forestry and Orchard Research (河北林果研究), 2002, 17(4): 365-370 (in Chinese)
[3] Ueno S, Taguchi Y, Tsumura Y. Microsatellite markers derived from Quercus mongolica var. crispula (Fagaceae) inner bark expressed sequence tags. Genes & Genetic Systems, 2008, 83: 179-187
[4] Zhao J (赵娟), Song Y (宋媛), Mao Z-J (毛子军). Response in photosynthesis and chlorophyll fluorescence of Quercus mongolica seedlings to the interaction of temperature and precipitation. Journal of Beijing Forestry University (北京林业大学学报), 2013, 35(1): 64-71 (in Chinese)
[5] Shin CH, Won HY, Mun HT. Litter production and nutrient input via litterfall in Quercus mongolica forest at Mt. Worak National Park. Journal of Ecology & Environment, 2011, 34: 107-113
[6] He F, Yang B, Wang H, et al. Changes in composition and diversity of fungal communities along Quercus mongolica forests developments in Northeast China. Applied Soil Ecology, 2016, 100: 162-171
[7] Yu S-L (于顺利), Ma K-P (马克平), Chen L-Z (陈灵芝). Analysis on leaf forms in Quercus mongolica community. Chinese Journal of Applied Ecology (应用生态学报), 2003, 14(1): 151-153 (in Chinese)
[8] Joo SJ, Park SU, Park MS, et al. Estimation of soil respiration using automated chamber systems in an oak (Quercus mongolica) forest at the Nam-San site in Seoul, Korea. Science of the Total Environment, 2012, 416: 400-409
[9] Hong L-X (洪玲霞), Lei X-D (雷相东), Li Y-C (李永慈). Integrated stand growth model of mongolian oak and its application. Forest Research (林业科学研究), 2012, 25(2): 201-206 (in Chinese)
[10] Ma W (马武), Lei X-D (雷相东), Xu G (徐光), et al. Growth models for natural Quercus mongolica forests: Ⅰ. Diameter growth model. Journal of Northwest A&F University (Natural Science) (西北农林科技大学学报:自然科学版), 2015, 43(2): 99-105 (in Chinese)
[11] Cheng X-B (程徐冰), Wu J (吴军), Han S-J (韩士杰), et al. Effects of decreased rainfall on Quercus mongolica leaf eco-physiological characteristics. Chinese Journal of Ecology (生态学杂志), 2011, 30(9): 1908-1914 (in Chinese)
[12] Su L-L (苏丽丽), Xu S (徐胜), Fu W (付伟), et al. Effects of elevated O₃ on leaf litter decomposition and nutrient release of Quercus mongolica in city. Chinese Journal of Applied Ecology (应用生态学报), 2016, 27(2): 373-379 (in Chinese)
[13] Yi XF, Zhang ZB. Influence of insect-infested cotyledons on early seedling growth of Mongolian oak, Quercus mongolica. Photosynthetica, 2008, 46: 139-142
[14] Wang Y-H (王义弘), Teng W-H (滕文华), Li J-T (李俊涛), et al. Regeneration forestation and sapling growth of Quercus mongolica. Journal of Northeast Forestry University (东北林业大学学报), 2000, 28(5): 28-30 (in Chinese)
[15] You W-Z (尤文忠), Zhao G (赵刚), Zhang H-D (张慧东), et al. Effects of thinning on growth of Mongolian oak (Quercus mongolica) secondary forests. Acta Ecologica Sinica (生态学报), 2015, 35(1): 56-64 (in Chinese)
[16] Fan H-B (樊后保), Wang Y-H (王义弘), Zang R-G (臧润国). Spatial distribution pattern of Mongolian oak population. Journal of Fujian College of Forestry (福建林学院学报), 1994, 14(2): 100-103 (in Chinese)
[17] Raimundo MR, Scolforo HF, De Mello JM, et al. Geostatistics applied to growth estimates in continuous forest inventories. Forest Science, 2017, 63: 29-38
[18] Zhang B (张贝), Li W-D (李卫东), Yang Y (杨勇), et al. The Bayesian maximum entropy geostatistical approach and its application in soil and environmental sciences. Acta Pedologica Sinica (土壤学报), 2011, 48(4): 831-839 (in Chinese)
[19] Li Y-L (李艳丽), Yang H (杨华), Kang X-G (亢新刚), et al. Spatial heterogeneity of natural regeneration in a spruce-fir mixed broadleaf-conifer forest in Changbai Mountains. Chinese Journal of Applied Ecology (应用生态学报), 2014, 25(2): 311-317 (in Chinese)
[20] Webster R. Quantitative Spatial Analysis of Soil in the Field. New York: Springer, 1985
[21] Zenner EK, Hibbs DE. A new method for modeling the heterogeneity of forest structure. Forest Ecology and Management, 2000, 129: 75-87
[22] Feng Y-M (冯益明), Tang S-Z (唐守正), Li Z-Y (李增元). Application of spatial statistic analysis in forestry. Scientia Silvae Sinicae (林业科学), 2004, 40(3): 149-155 (in Chinese)
[23] Cambardella CA, Moorman TB, Parkin TB, et al. Field-scale variability of soil properties in central Iowa soils. Soil Science Society of America Journal, 1994, 58: 1501-1511
[24] Huo M-M (霍萌萌), Guo D-G (郭东罡), Zhang J (张婕), et al. Tree community characteristics and spatial patterns of the forms Pinus tabuliformis-Quercus wutaishanica in Lingkong Mountain. Acta Ecologica Sinica (生态学报), 2014, 34(20): 5925-5935 (in Chinese)
[25] Zhang J-H (张晶虹), Liu B-W (刘丙万). Patterns of seed predation and removal of Mongolian oak (Quercus mongolica) by rodents. Acta Ecologica Sinica (生态学报), 2014, 34(5): 1205-1211 (in Chinese)
[26] Akhavan R, Zenner EK, Sagheb-Talebi K. Spatial patterns in different forest development stages of an intact old-growth Oriental beech forest in the Caspian region of Iran. European Journal of Forest Research, 2012, 131: 1355-1366
[27] Fibich P, Lepš J, Novotný V, et al. Spatial patterns of tree species distribution in New Guinea primary and secondary lowland rain forest. Journal of Vegetation Science, 2016, 27: 328-339
[28] Ding Y-Q (丁永全). Effect of slope aspect and slope position on temperature and humidity of the arid sunny-slope Mongolian oak forests in the Daxing’an Mountains. Journal of Northeast Forestry University (东北林业大学学报), 2015(4): 46-51 (in Chinese)
[29] Li Y (李颖). Geostatistical Analysis on the Spatial Pattern of the Constructive Species in Pine-Oak Forest, in Lingkong Mountains, Shanxi. Master Thesis. Taiyuan: Shanxi University, 2015 (in Chinese)
[30] Zhang J-T (张金屯). Quantitative Ecology. Beijing: Science Press, 2004 (in Chinese)
[31] Jing X (景鑫), Duan W-B (段文标), Chen L-X (陈立新), et al. Spatial distribution pattern of main populations and gap makers in Picea koraiensis and Abies nephrolepis forest of Xiaoxing’an Mountains, Northeast China. Chinese Journal of Applied Ecology (应用生态学报), 2015, 26(10): 2928-2936 (in Chinese)
[32] Shen Z-Q (沈志强), Hua M (华敏), Dan Q (丹曲), et al. Spatial pattern analysis and associations of Quercus aquifolioides population at different growth stages in Southeast Tibet, China. Chinese Journal of Applied Ecology (应用生态学报), 2016, 27(2): 387-394 (in Chinese)