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植物生态学报 >

2019 , Vol. 43 >Issue 4: 342 - 351

DOI: https://doi.org/10.17521/cjpe.2018.0310

研究论文

林分、土壤及空间因子对谷地云冷杉林叶面积指数空间异质性的影响

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  • 1 东北林业大学林学院, 哈尔滨 150040
    2 东北林业大学生态研究中心, 哈尔滨 150040
    3 东北林业大学森林生态系统可持续经营教育部重点实验室, 哈尔滨 150040

收稿日期: 2018-12-07

  修回日期: 2019-04-16

  网络出版日期: 2019-05-30

基金资助

国家自然科学基金(31600587);中国博士后科学基金(2016M590271);黑龙江博士后基金(LBH-TZ1802)

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Influences of stand, soil and space factors on spatial heterogeneity of leaf area index in a spruce-fir valley forest in Xiao Hinggan Ling, China

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  • 1 School of Forestry, Northeast Forestry University, Harbin 150040, China
    2 Center for Ecological Research, Northeast Forestry University, Harbin 150040, China
    3 Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin 150040, China

Received date: 2018-12-07

  Revised date: 2019-04-16

  Online published: 2019-05-30

Supported by

Supported by the National Natural Science Foundation of China(31600587);the China Postdoctoral Science Foundation(2016M590271);the Heilongjiang Postdoctoral Foundation(LBH-TZ1802)

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摘要

叶面积指数(LAI)的空间异质性对研究植物的生长状况、分布格局及其对气候变化的响应机制至关重要, 然而关于不同因素对解释LAI空间变异相对贡献率的报道尚少。该研究依托小兴安岭9.12 hm 2 (380 m × 240 m)谷地云冷杉林固定样地, 采用LAI-2200植物冠层分析仪测定了228个小样方(20 m × 20 m)的LAI, 基于地统计学方法分析了LAI的空间异质性; 测定了每个小样方的28个林分因子和10个土壤因子, 利用主轴邻距法(PCNM)量化了空间因子, 并采用方差分解的方法解析了林分、土壤、空间因子及其相互作用对LAI空间变异的相对贡献率。结果表明: LAI在37 m尺度内具有强烈的空间自相关, 且在不同方向上LAI呈现相异的空间格局; 3种因子及其相互作用共同解释了LAI空间变异的50.4%, 其中空间因子的贡献率最大, 单独解释了LAI空间变异的25.5%; 中等树(5 cm <胸径≤ 10 cm)的密度和主要树种(冷杉(Abies nephrolepis)和云杉(Picea spp.))的胸高断面积均与LAI显著正相关, 质量含水率与LAI显著负相关。总体来看, 空间自相关对小兴安岭谷地云冷杉林LAI空间异质性的决定作用明显强于林分因子和土壤因子。

关键词： 谷地云冷杉林; 叶面积指数; 空间异质性; 地统计学分析

本文引用格式

杨焕莹, 宋建达, 周焘, 金光泽, 姜峰, 刘志理 . 林分、土壤及空间因子对谷地云冷杉林叶面积指数空间异质性的影响[J]. 植物生态学报, 2019 , 43(4) : 342 -351 . DOI: 10.17521/cjpe.2018.0310

Abstract

AimsSpatial heterogeneity of leaf area index (LAI) is very important for exploring the growth and spatial distributions of plants, as well as response strategy of plants to climate changes. Many previous studies have shown that biotic and abiotic factors had significant influences on spatial heterogeneity of LAI. However, few studies have been conducted to show the relative contributions of different influencing factors to the total variations of LAI. Our aim was to quantify the relative contributions of stand, soil and space factors to the total spatial variations of LAI in a spruce-fir valley forest in northeast China.
MethodsWe relied on a 9.12 hm 2 (380 m × 240 m) spruce-fir valley forest plot in Xiao Hinggan Ling, China, which was divided into 228 subplots (20 m × 20 m). First, we measured LAI for each subplot by using the LAI-2200 plant canopy analyzer and then analyzed the spatial heterogeneity of LAI using geo-statistic methods (semivariogram and Kriging interpolation). Second, we measured 28 stand factors and 10 soil factors for each subplot, and quantified space factors using principal coordinates of neighbor matrices (PCNM). Finally, we quantified the relative contributions of stand, soil and space factors to the total spatial variations of LAI using the variance partitioning method.
Important findings The results showed that strong spatial autocorrelations of LAI values within 37 m distances in the spruce-fir valley forest, and the LAI presented different spatial patterns along distinct directions. The stand, soil and space factors totally explained 50.4% of the total spatial variations of LAI in the forest plot. The space factors explained greater spatial variations of LAI in relative to stand and soil factors, and solely explained 25.5% of the total spatial variations. The density of middle tree group (5 cm < diameter at breast height ≤ 10 cm) and basal area of major tree groups (including Abies nephrolepis and Picea spp.) were both significantly and positively correlated with LAI; and soil mass moisture content was significantly and negatively correlated with LAI. These results generally suggest that the spatial autocorrelation is more important than stand factor and soil factor for determining spatial heterogeneity of LAI of the spruce-fir valley forest in Xiao Hinggan Ling, China.

Key words： spruce-fir valley forest; leaf area index; spatial heterogeneity; geostatistical analysis

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参考文献

[1] Anderegg LDL, Berner LT, Badgley G, Sethi ML, Law BE, HilleRisLambers J ( 2018). Within-species patterns challenge our understanding of the leaf economics spectrum. Ecology Letters, 21, 734-744.
[2] Andrade A, Wolfe DW, Fereres E ( 1993). Leaf expansion, photosynthesis, and water relations of sunflower plants grown on compacted soil. Plant and Soil, 149, 175-184.
[3] Bequet R, Campioli M, Kint V, Muys B, Bogaert J, Ceulemans R ( 2012a). Spatial variability of leaf area index in homogeneous forests relates to local variation in tree characteristics. Forest Science, 58, 633-640.
[4] Bequet R, Kint V, Campioli M, Vansteenkiste D, Muys B, Ceulemans R ( 2012b). Influence of stand, site and meteorological variables on the maximum leaf area index of beech, oak and Scots pine. European Journal of Forest Research, 131, 283-295.
[5] Bivand RS, Pebesma EJ, Gómez-Rubio V (2013). Applied Spatial Data Analysis with R. Springer,New York.
[6] Blanchet FG, Legendre P, Borcard D ( 2008). Forward selection of explanatory variables. Ecology, 89, 2623-2632.
[7] Borcard D, Legendre P ( 2002). All-scale spatial analysis of ecological data by means of principal coordinates of neighbour matrices. Ecological Modelling, 153, 51-68.
[8] Chen JM, Black TA ( 1992). Defining leaf area index for non-flat leaves. Plant, Cell & Environment, 15, 421-429.
[9] Chen JM, Rich PM, Gower ST, Norman JM, Plummer S ( 1997). Leaf area index of boreal forests: Theory, techniques, and measurements. Journal of Geophysical Research, 102, 29429-29443.
[10] Ding YH, Sun Y ( 2006). New progress in international climate change research. Advances in Climate Change Research, 2, 161-167.
[10] [ 丁一汇, 孙颖 ( 2006). 国际气候变化研究新进展. 气候变化研究进展, 2, 161-167.]
[11] Han M, Shi B, Jin G ( 2019). Spatial patterns of soil respiration in a spruce-fir valley forest, Northeast China. Journal of Soils and Sediments, 19, 10-22.
[12] Jonckheere I, Fleck S, Nackaerts K, Muys B, Coppin P, Weiss M, Baret F ( 2004). Review of methods for in situ leaf area index determination: Part I. Theories, sensors and hemispherical photography. Agricultural and Forest Meteorology, 121, 19-35.
[13] Jones MM, Tuomisto H, Borcard D, Legendre P, Clark DB, Olivas PC ( 2008). Explaining variation in tropical plant community composition: Influence of environmental and spatial data quality. Oecologia, 155, 593-604.
[14] Leblanc SG, Chen JM, Fernandes R, Deering DW, Conley A (2005). Methodology comparison for canopy structure parameters extraction from digital hemispherical photography in boreal forests. Agricultural and Forest Meteorology, 129, 187-207.
[15] Legendre P, Mi XC, Ren HB, Ma KP, Yu MJ, Sun I, He FL (2009). Partitioning beta diversity in a subtropical broad-leaved forest of China. Ecology, 90, 663-674.
[16] Li H, Reynolds J (1995). On definition and quantification of heterogeneity. Oikos, 73, 280-284.
[17] Li HB, Wang ZQ, Wang QC (1998). Theory and methodology of spatial heterogeneity quantification. Chinese Journal of Applied Ecology, 9, 651-657.
[17] [ 李哈滨, 王政权, 王庆成 (1998). 空间异质性定量研究理论与方法. 应用生态学报, 9, 651-657.]
[18] Li WH ( 1980). Study on community structure and succession of spruce-fir valley forest in the Xiaoxing’an Mountains, China. Natural Resources, 4, 17-29.
[18] [ 李文华 ( 1980). 小兴安岭谷地云冷杉林群落结构和演替的研究. 自然资源, 4, 17-29.]
[19] Liu ZL, Chen JM, Jin GZ, Qi YJ ( 2015). Estimating seasonal variations of leaf area index using litterfall collection and optical methods in four mixed evergreen-deciduous forests. Agricultural and Forest Meteorology, 209, 36-48.
[20] Liu ZL, Jiang F, Zhu Y, Li F, Jin GZ (2018). Spatial heterogeneity of leaf area index in a temperate old-growth forest: Spatial autocorrelation dominates over biotic and abiotic factors. Science of the Total Environment, 634, 287-295.
[21] Liu ZL, Jin GZ (2014). Estimation of seasonal changes in leaf area index based on optical methods in spruce-fir valley forest. Chinese Journal of Applied Ecology, 25, 3420-3428.
[21] [ 刘志理, 金光泽 ( 2014). 基于光学仪器法测定谷地云冷杉林叶面积指数的季节变. 应用生态学报, 25, 3420-3428.]
[22] Liu ZL, Jin GZ ( 2015). Using litter collection and tree data to model leaf area index in the mixed broadleaved-Korean pine forest in the Xiaoxing’an Mountains, China. Acta Ecologica Sinica, 35, 3190-3198.
[22] [ 刘志理, 金光泽 ( 2015). 利用凋落物法和林木因子模拟小兴安岭阔叶红松林叶面积指数. 生态学报, 35, 3190-3198.]
[23] Majasalmi T, Stenberg P, Rautiainen M ( 2017). Comparison of ground and satellite-based methods for estimating stand-level fPAR in a boreal forest. Agricultural and Forest Meteorology, 232, 422-432.
[24] Naithani KJ, Baldwin DC, Gaines KP, Lin H, Eissenstat DM (2013). Spatial distribution of tree species governs the spatio-?temporal interaction of leaf area index and soil moisture across a forested landscape. PLOS ONE, 8, e58704. DOI: 10.1371/journal.pone.0058704.
[25] Naithani KJ, Ewers BE, Pendall E (2012). Sap flux-scaled transpiration and stomatal conductance response to soil and atmospheric drought in a semi-arid sagebrush ecosystem. Journal of Hydrology, 464-465, 176-185.
[26] Oksanen J, Blanchet FG, Friendly M, Kindt R, Legendre P, McGlinn D, Minchin PR, O’Hara RB, Simpson GL, Solymos P, Stevens MHH, Szoecs E, Wagner H (2009). The vegan Package. .
[27] Oussible M, Crookston RK, Larson WE ( 1992). Subsurface compaction reduces the root and shoot growth and grain yield of wheat. Agronomy Journal, 84, 34-38.
[28] ?ztürk M, Bolat ?, Ergün A ( 2015). Influence of air-soil temperature on leaf expansion and LAI of Carpinus betulus trees in a temperate urban forest patch. Agricultural and Forest Meteorology, 200, 185-191.
[29] Piao TF, Comita LS, Jin GZ, Kim JH (2013). Density dependence across multiple life stages in a temperate old-growth forest of northeast China. Oecologia, 172, 207-217.
[30] R Core Team ( 2018). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. .
[31] Rossi RE, Mulla DJ, Journel AG, Franz EH ( 1992). Geostatistical tools for modeling and interpreting ecological spatial dependence. Ecological Monographs, 62, 277-314.
[32] Schleppi P, Thimonier A, Walthert L ( 2011). Estimating leaf area index of mature temperate forests using regressions on site and vegetation data. Forest Ecology and Management, 261, 601-610.
[33] Spadavecchia LW, Mathew, Bell R, Stoy PC, Huntley B, Van Wijk MT ( 2008). Topographic controls on the leaf area index and plant functional type of a tundra ecosystem. Journal of Ecology, 96, 1238-1251.
[34] Su HX, Bai F, Li GQ ( 2012). Seasonal dynamics in leaf area index in three typical temperate montane forests of China: A comparison of multi-observation methods. Chinese Journal of Plant Ecology, 36, 231-242.
[34] [ 苏宏新, 白帆, 李广起 ( 2012). 3类典型温带山地森林的叶面积指数的季节动态: 多种监测方法比较. 植物生态学报, 36, 231-242.]
[35] Tor-ngern P, Oren R, Ward EJ, Palmroth S, McCarthy HR, Domec JC ( 2015). Increases in atmospheric CO2 have little influence on transpiration of a temperate forest canopy. New Phytologist, 205, 518-525.
[36] von Arx G, Pannatier EG, Thimonier A, Rebetez M ( 2013). Microclimate in forests with varying leaf area index and soil moisture: Potential implications for seedling establishment in a changing climate. Journal of Ecology, 101, 1201-1213.
[37] Wang QG ( 2004). Study on Spruce Forest Decline Mechanism in Low-lying Land in Eastern Mountain Area in Heilongjiang Province. PhD dissertation, Northeast Forestry University, Harbin.
[37] [ 王庆贵 ( 2004). 黑龙江省东部山区谷地云冷杉林衰退机理的研究. 博士学位论文, 东北林业大学, 哈尔滨.]
[38] Wang ZQ (1999). Geostatistics and Its Application in Ecology. Science Press, Beijing.
[38] [ 王政权 (1999). 地统计学及在生态学中的应用. 科学出版社, 北京.]
[39] Wang ZQ, Wang QC, Li HB ( 2000). Characteristics and comparison of spatial heterogeneity of the main species of Korean pine in old growth forests. Acta Phytoecological Sinica, 24, 718-723.
[39] [ 王政权, 王庆成, 李哈滨 ( 2000). 红松老龄林主要树种的空间异质性特征与比较的定量研究. 植物生态学报, 24, 718-723.]
[40] Woodgate W, Armston JD, Disney M, Jones SD, Suarez L, Hill MJ, Wilkes P, Soto-Berelov M ( 2016). Quantifying the impact of woody material on leaf area index estimation from hemispherical photography using 3D canopy simulations. Agricultural and Forest Meteorology, 226-227, 1-12.
[41] Wu J, Albert LP, Lopes AP, Restrepo-Coupe N, Hayek M, Wiedemann KT, Guan K, Stark SC, Christoffersen B, Prohaska N, Tavares JV, Marostica S, Kobayashi H, Ferreira ML, Campos KS, da Silva R, Brando PM, Dye DG, Huxman TE, Huete AR, Nelson BW, Saleska SR (2016). Leaf development and demography explain photosynthetic seasonality in Amazon evergreen forests. Science, 351, 972-976.
[42] Xu Y, Franklin SB, Wang Q, Shi Z, Luo Y, Lu Z, Zhang J, Qiao X, Jiang M (2015). Topographic and biotic factors determine forest biomass spatial distribution in a subtropical mountain moist forest. Forest Ecology and Management, 357, 95-103.
[43] Yang Y, Wang H, Harrison SP, Prentice IC, Wright IJ, Peng C, Lin G (2018). Quantifying leaf-trait covariation and its controls across climates and biomes. New Phytologist, 221, 155-168.
[44] Yao DD, Lei XD, Yu L, Lu J, Fu LY, Yu RG (2015). Spatial heterogeneity of leaf area index of mixed spruce-fir- deciduous stands in northeast China. Acta Ecologica Sinica, 35, 71-79.
[44] [ 姚丹丹, 雷相东, 余黎, 卢军, 符利勇, 俞锐刚 ( 2015). 云冷杉针阔混交林叶面积指数的空间异质性. 生态学报, 35, 71-79.]
[45] Zheng JY, Shao MA, Zhang XC ( 2004). Spatial variation of surface soil’s bulk density and saturated hydraulic conductivity on slope in loess region. Journal of Soil and Water Conservation, 18, 53-56.
[45] [ 郑纪勇, 邵明安, 张兴昌 ( 2004). 黄土区坡面表层土壤容重和饱和导水率空间变异特征. 水土保持学报, 18, 53-56.]
[46] Zhu W, Xiang W, Pan Q, Zeng Y, Ouyang S, Lei P, Deng X, Fang X, Peng C ( 2016). Spatial and seasonal variations of leaf area index (LAI) in subtropical secondary forests related to floristic composition and stand characters. Biogeosciences, 13, 3819-3831.
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