[1]赵维俊,牛 赟*,杜 军,等.祁连山青海云杉林叶面积指数的空间异质性[J].山地学报,2024,(3):312-319.[doi:10-16089/j.cnki.1008-2786.000825]
　ZHAO Weijun,NIU Yun*,DU Jun,et al.Spatial Heterogeneity of Leaf Area Index of Picea Crassifolia Forest in the Qilian Mountains, China[J].Mountain Research,2024,(3):312-319.[doi:10-16089/j.cnki.1008-2786.000825]
点击复制

祁连山青海云杉林叶面积指数的空间异质性
分享到：

《山地学报》[ISSN:1008-2186/CN:51-1516]

卷:
期数:
2024年第3期
页码:
312-319
栏目:
山地环境
出版日期:
2024-05-25

文章信息/Info

Title:
Spatial Heterogeneity of Leaf Area Index of Picea Crassifolia Forest in the Qilian Mountains, China
文章编号:
1008-2786-(2024)3-312-8
作者:
赵维俊1; 牛 赟2*; 杜 军3; 马雪娥1; 张克海1
(1.甘肃省祁连山水源涵养林研究院 甘肃祁连山森林生态系统国家定位观测研究站,甘肃 张掖 734000; 2.淮阴师范学院 地理科学与规划学院,江苏 淮安 223300; 3.中国科学院西北生态环境资源研究院,兰州 73000)
Author(s):
ZHAO Weijun1;  NIU Yun2*;  DU Jun3;  MA Xue’e1;  ZHANG Kehai1
(1. State Positioning Observation and Research Station of Forest Ecosystem of the Qilian Mountain, Gansu Province Academy of Water Resources Conservation Forest of the Qilian Mountains, Zhangye 734000, Gansu, China; 2. School of Geography and Planning, Huaiyin Normal University, Huaian 223300, Jiangsu, China; 3. Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China)
关键词:
青海云杉林;  动态监测样地;  叶面积指数;  空间异质性
Keywords:
Picea crassifolia forest;  dynamics monitoring plot;  leaf area index;  spatial heterogeneity
分类号:
S718.5
DOI:
10-16089/j.cnki.1008-2786.000825
文献标志码:
A
摘要:
叶面积指数(leaf area index,LAI)在山地森林具有高度的空间异质性。基于大样地尺度的山地森林叶面积空间异质性的研究较少,而且不涉及LAI对地形的响应研究。基于LAI的空间异质性和地形因子的相关性,确定取样尺度,可为提升区域尺度上LAI的空间遥感精度提供依据。本研究依托祁连山大野口流域10.2 ha(340 m×300 m)的青海云杉林动态监测样地,使用CID CI-110植物冠层数字图像分析仪对样地内255个20 m×20 m 样方进行五点法LAI测定,分析LAI的空间异质性特征和空间分布格局及其与地形因子的相关性。研究结果表明:(1)LAI具有中等变异性,指数模型是变异函数的最佳理论模型,具有强烈的空间自相关,变程为16 m,南—北方向上是LAI分布的优势格局。(2)LAI的空间分布格局相对简单,具有一定的斑块性,LAI为0.56～1.43 的斑块所占面积最大。(3)LAI与海拔和坡度均呈极显著负相关(P<0.01),与坡度和曲率的相关性均不显著(P>0.05)。(4)青海云杉林的LAI空间异质性与尺度和方向有关,部分地形因子对LAI存在着显著影响。研究结果可为青海云杉林生态过程分析以及遥感技术反演LAI参数提供依据。
Abstract:
The leaf area index(LAI)serves as a primary parameter characterizing forest ecological processes and structural features. LAI has high spatial heterogeneity in mountain forests. Studies of spatial heterogeneity of leaf area in montane forests based on sample plot of a large scale were scarce and did not investigate the dependency of LAI on topography. Determining the sampling scale based on spatial heterogeneity of LAI and its correlation with topographic factors can provide an accuracy calibration of spatial remote sensing of LAI on a regional scale.
This study was exemplified by dynamic monitoring plots of Picea crassifolia forest built in the Dayekou watershed of the Qilian Mountains, northwestern China, covering an area of 10.2 hectares(340 m×300 m). LAI at 255 plots of 20 m×20 m in size was determined by five-point method using CID CI-110 plant canopy digital imaging analyzer. Then the spatial heterogeneity and spatial distribution pattern of LAI and its correlation with terrain factors were analyzed.
(1)LAI exhibited moderate variability, whose variogram function could be interpreted by an exponential model as the optimal theoretical model, which had strong spatial autocorrelation with a variable range of 16 meters, and the dominant pattern of LAI distribution was in the south-north direction.
(2)The spatial distribution pattern of LAI is relatively simple, exhibiting certain patchiness, with the largest area occupied by patches of LAI ranging from 0.56 to 1.43.
(3)LAI is significantly negatively correlated with altitude and slope(P<0.01), while its correlation with slope and curvature is not significant(P>0.05).
(4)The spatial heterogeneity of LAI in Picea crassifolia forests is related to scale and direction, with certain topographic factors exerting significant influence on LAI.
The study provides a basis for the analysis of ecological processes of Picea crassifolia forest in the Qilian Mountains and the determination of LAI parameters in remote sensing techniques.

参考文献/References:

[1] DERMODY O, LONG S P, DELUCIA E H. How does elevated CO2 or ozone affect the leaf-area index of soybean when applied independently [J]. New Phytologist, 2006, 169(1): 145-155. DOI: 10.1111/j.1469-8137.2005.01565.x
[2] TILLACK A, CLASEN A, KLEINSCHMIT B, et al. Estimation of the seasonal leaf area index in an alluvial forest using high-resolution satellite-based vegetation indices [J]. Remote Sensing of Environment, 2014, 141: 52-63. DOI: 10.1016/j.rse.2013.10.018
[3] 王希群, 马履一, 贾忠奎, 等. 叶面积指数的研究和应用进展[J]. 生态学杂志, 2005, 24(5): 537-541. [WANG Xiqun, MA Luyi, JIA Zhongkui, et al. Research and application advances in leaf area index(LAI)[J]. Chinese Journal of Ecology, 2005, 24(5): 537-541] DOI: 10.13292/j.1000-4890.2005.0306
[4] ALTON P B. The sensitivity of models of gross primary productivity to meteorological and leaf area forcing: A comparison between a Penman‐Monteith ecophysiological approach and the MODIS Light-Use efficiency algorithm [J]. Agricultural and Forest Meteorology, 2016, 218: 11-24. DOI: 10.1016/j.agrformet.2015.11.010
[5] BOUSSETTA S, BALSAMO G, BELJAARS A, et al. Impact of a satellite-derived leaf area index monthly climatology in a global numerical weather prediction model [J]. International Journal of Remote Sensing, 2013, 34(9-10): 3520-3542. DOI: 10.1080/01431161.2012.716543
[6] 姚丹丹, 雷相东, 余黎, 等. 云冷杉针阔混交林叶面积指数的空间异质性[J]. 生态学报, 2015, 35(1): 71-79. [YAO Dandan, LEI Xingdong, YU Li, et al. Spatial heterogeneity of leaf area index of mixed spruce-fir-deciduous stands in northeast China [J]. Acta Ecologica Sinica, 2015, 35(1): 71-79] DOI: 10.5846/stxb201403300593
[7] 杨焕莹, 宋建达, 周焘, 等. 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. [YANG Huanying, SONG Jianda, ZHOU Tao, et al. 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 [J]. Chinese Journal of Plant Ecology, 2019, 43(4): 342-351] DOI: 10.17521/cjpe.2018.0310
[8] 何金有, 贾炜玮, 张小勇, 等. 应用PROSAIL模型对森林冠层叶面积指数遥感估测[J]. 东北林业大学学报, 2023, 51(11): 86-94. [HE Jinyou, JIA Weiwei, ZHANG Xiaoyong, et al. Remote sensing estimation of forest canopy LAI using different algorithms of PROSAIL model [J]. Journal of Northeast Forestry University, 2023, 51(11): 86-94] DOI: 10.13759/j.cnki.dlxb.2023.11.009
[9] 凌菊, 李爱农, 靳华安. 基于DART模型和随机森林估算山地叶面积指数[J]. 遥感技术与应用, 2023, 38(1): 39-50. [LING Ju, LI Ainong, JIN Huaan, et al. Leaf area index estimation over mountainous areas by coupling the DART model and random forest [J]. Remote Sensing Technology and Application, 2023, 38(1): 39-50] DOI: 10.11873/j.issn.1004‐0323.2023.1.0039
[10] 余之灏, 范文义. 应用地基雷达和机载激光雷达数据反演落叶松冠层叶面积密度[J]. 东北林业大学学报, 2024, 52(4): 82-88. [YU Zhihao, FAN Wenyi. Inverting the leaf area density of Larix gmelinii canopy using ground-based LiDAR and airborne LiDAR data [J]. Journal of Northeast Forestry University, 2024, 52(4): 82-88] DOI: 10.13759/j.cnki.dlxb.2024.04.010
[11] 刘贤德, 赵维俊, 张学龙, 等. 祁连山排露沟流域青海云杉林土壤养分和pH变化特征[J].干旱区研究, 2013, 30(6): 1013-1020. [LIU Xiande, ZHAO Weijun, ZHANG Xuelong, et al. Variation of soil nutrient content and pH value under Picea crassifolia forest in the Pailugou drainage basin in the Qilian Mountains [J]. Arid Zone Research, 2013, 30(6): 1013-1020] DOI: 10.13866/j.azr.2013.06.009
[12] 赵维俊, 王顺利, 孟好军, 等. 祁连山排露沟流域青海云杉种群结构与空间分布格局[J].中南林业科技大学学报, 2018, 38(11): 75-80. [ZHAO Weijun, WANG Shunli, MENG Haojun, et al. Population structure and spatial distribution pattern of Picea crassifolia in Pailugou basin, Qilian mountains [J]. Journal of Central South University of Forestry and Technology, 2018, 38(11): 75-80] DOI: 10.14067/j.cnki.1673-923x.2018.11.011
[13] 赵维俊, 刘贤德, 徐丽恒, 等. 祁连山青海云杉林动态监测样地土壤pH和养分的空间异质性[J]. 干旱区地理, 2015, 38(6): 1179-1189. [ZHAO Weijun, LIU Xiande, XU Liheng, et al. Spatial heterogeneity of soil pH and nutrients of a dynamical monitoring plot of Picea Crassifolia forest in Qilian Mountains [J]. Arid Land Geography, 2015, 38(6): 1179-1189] DOI: 10.13826/j.cnki.cn65-1103/x.2015.06.011
[14] GB/T 33027-2016. 森林生态系统长期定位观测指标体系[S]. 北京: 中国标准出版社, 2017. [GB/T 33027-2016. Observation index system for long-term forest ecosystem research [S]. Beijing: China Standards Press, 2017]
[15] LY/T 1952-2011. 森林生态系统长期定位观测方法[S]. 北京: 中国标准出版社, 2011. [LY/T 1952-2011. Methodology for field long-term observation of forest ecosystem [S]. Beijing: China Standards Press, 2011]
[16] BENTLEY B L, PEARCY R W, EHLERINGER J R, et al. Plant physiological ecology: Field methods and instrumentation [J].BioScience, 1990, 40(10): 79-80. DOI: 10.2307/1311520.
[17] CAMPBELL G S. Extinction coefficients for radiation in plant canopies calculated using an ellipsoidal inclination angle distribution [J]. Agricultural and Forest Meteorology, 1986, 36(4): 317-321. DOI: 10.1016/0168-1923(86)90010-9
[18] LEGENDRE P, MI Xiangcheng, REN Haibao, et al. Partitioning beta diversity in a subtropical broad-leaved forest of China [J]. Ecology, 2009, 90(3): 663-674. DOI: 10.1890/07-1880.1
[19] 杨逍虎, 赵维俊, 闫春鸣, 等. 祁连山青海云杉林动态监测样地更新苗和成树格局的空间变异[J]. 中南林业科技大学学报, 2022, 42(7): 85-95. [YANG Xiaohu, ZHAO Weijun, YAN Chunming, et al. Spatial variation of regeneration patterns in a dynamic monitoring plot of Picea crassifolia forest in the Qilian Mountains [J]. Journal of Central South University of Forestry and Technology, 2022, 42(7): 85-95] DOI: 10.14067/j.cnki.1673-923x.2022.07.010
[20] 赵传燕, 沈卫华, 彭焕华. 祁连山区青海云杉林冠层叶面积指数的反演方法[J]. 植物生态学报, 2009, 33(5): 860-869. [ZHAO Chuanyan, SHEN Weihua, PENG Huanhua. Methods for determining canopy leaf area index of Picea crassifolia forest in Qilian Mountains, China [J]. Acta Phytoecologica Sinica, 2009, 33(5): 860-869] DOI: 10.3773/j.issn.1005-264x.2009.05.004
[21] 张立杰, 赵文智, 何志斌. 青海云杉(Picea crassifolia)种群格局的分形特征及其影响因素[J]. 生态学报, 2008, 28(4): 1383-1389. [ZHANG Lijie, ZHAO Wenzhi, HE Zhibin. Characteristics in Picea crassifolia forest fractal dimension and its influencing factors [J]. Acta Ecologica Sinica, 2008, 28(4): 1383-1389] DOI: 10.3321/j.issn:1000-0933.2008.04.005
[22] 王政权, 王庆成, 李哈滨. 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[J].植物生态学报, 2000, 24(6): 718-723. [WANG Zhengquan, WANG Qingcheng, LI Habin, et al. Characteristics and comparison of spatial heterogeneity of the main species of korean pine in old growth forests [J]. Acta Phytoecologica Sinica, 2000, 24(6): 718-723] DOI: 10.1038/sj.cr.7290038
[23] LIU Zhili, JIANG Feng, ZHU Yu, et al. Spatial heterogeneity of leaf area index in a temperate old-growth forest: Spatial autocorrelation dominates over biotic and abiotic factors [J]. Science of the Total Environment, 2018, 634: 287-295. DOI: 10.1016/j.scitotenv.2018.03.333
[24] 赵维俊, 刘贤德, 敬文茂, 等. 祁连山青海云杉林群落结构的空间异质性[J]. 应用生态学报, 2015, 26(9): 2591-2599. [ZHAO Weijun, LIU Xiande, JING Wenmao, et al. Spatial heterogeneity of community structure of Picea crassifolia forest in Qilian Mountains, China [J]. Chinese Journal of Applied Ecology, 2015, 26(9): 2591-2599] DOI: 10.13287/j.1001-9332.20150630.006
[25] 姜杰. 长白山森林物候及冠层叶面积指数的地形分异研究[D]. 聊城: 聊城大学, 2023: 39-44. [JIANG Jie. Topographic variation of forest phenology and canopy leaf area index in Changbai Mountain [D]. Liaocheng: Liaocheng University, 2023: 39-44] DOI: 10.27214/d.cnki.glcsu.2023.000977
[26] 刘志理, 毕连柱, 宋国华, 等. 典型阔叶红松林叶面积指数的空间异质性[J]. 北京林业大学学报, 2018, 40(11): 1-11. [LIU Zhili, BI Lianzhu, SONG Guohua, et al. Spatial heterogeneity of leaf area index in a typical mixed broadleaved-Korean pine forest in Xiaoxing’an Mountains of northeastern China [J]. Journal of Beijing Forestry University, 2018, 40(11): 1-11] DOI: 10.13332/j.1000-1522.20170468
[27] 吴启超. 茂兰喀斯特森林叶面积指数时空变异及其影响因子[D]. 贵阳: 贵州大学, 2022: 19-32. [WU Qichao. Temporal and spatial variation of leaf area index and its influencing factors in karst forest of Maolan [D]. Guiyang: Guizhou University, 2022: 19-32] DOI: 10.27047/ d.cnki.ggudu.2022.001883
[28] 赵传燕, 沈卫华, 彭焕华, 等. 青海云杉林叶面积指数空间分布模拟——以祁连山区排露沟流域为例[J]. 兰州大学学报(自然科学版), 2009, 45(5): 68-72. [ZHAO Chuanyan, SHEN Weihua, PENG Huanhua, et al. Simulation of spatial distribution of leaf area index of Picea crassifolia forest: With Pailugou basin of Qilian Mountain as an example [J]. Journal of Lanzhou University(Natural Sciences), 2009, 45(5): 68-72] DOI: 10.13885/j.issn.0455-2059.2009.05.026

相似文献/References:

[1]张学龙,罗龙发,敬文茂,等.祁连山青海云杉林截留对降水的分配效应[J].山地学报,2007,(06):678.

备注/Memo

备注/Memo:
收稿日期(Received date): 2024- 04-29; 改回日期(Accepted date):2024- 06-18
基金项目(Foundation item): 国家自然科学基金(32060247, 32071606)。[National Natural Science Foundation of China(32060247, 32071606)]
作者简介(Biography): 赵维俊(1981-),男,甘肃靖远人,博士,研究员,主要研究方向:森林与土壤生态。[ZHAO Weijun(1981-), male, born in Jingyuan, Gansu province, Ph.D., professor of research, research on forest and soil ecology] E-mail: zhaoweijun1019@126.com
*通讯作者(Corresponding author): 牛赟(1974-),男,博士,教授,主要研究方向:生态水文。[NIU Yun(1974-), male, Ph.D., professor, research on eco-hydrology] E-mail: 747650046@ qq.com
更新日期/Last Update: 2024-05-30