山西不同起源油松林可燃物载量及其影响因子

doi:10.11707/j.1001-7488.LYKX20240232

摘要/Abstract

摘要：

目的: 探究不同起源的油松林中森林可燃物载量的变化规律及其影响因子，为森林可燃物的有效管理及林火预防提供理论依据。方法: 以山西省各林区的油松天然林和人工林为研究对象，在不同郁闭度（0.2~0.9）和林龄的林分内设置53块标准样地，调查乔木层、灌木层、草本层、枯落物层及腐殖质层可燃物载量，并记录样地海拔（701~1 739 m）和相关林分因子。通过多重比较法分析不同类型林分中可燃物载量的差异，比较不同郁闭度下各类可燃物及各龄级林分可燃物载量的差异，并拟合线性回归模型确定森林可燃物载量的关键因子。结果: 1）天然林不同林分的总可燃物载量范围为44.2~182.18 t·hm^?2，人工林不同林分的总可燃物载量范围为19.28~214.06 t·hm^?2。2）多重分析表明：在各类油松天然林中，乔木层可燃物载量最高，其次是腐殖质层。除低郁闭度的幼龄林外，其他油松人工林也呈现相似的规律。3）在油松天然林中，乔木层、腐殖质层和细小可燃物的载量在不同郁闭度下存在显著差异（P < 0.05），且幼龄林可燃物载量在不同郁闭度下有显著差异（P < 0.05）。油松人工林中，只有乔木层可燃物载量在不同郁闭度下存在显著差异（P < 0.05），其他类型可燃物的载量在不同郁闭度下均无显著差异（P > 0.05），且幼龄林、近熟林和成过熟林可燃物载量均在不同郁闭度下有显著差异（P < 0.05）。4）线性回归结果表明：油松天然林中的森林可燃物载量与林分郁闭度显著负相关（P < 0.05），与海拔显著负相关（P < 0.05）。此外，油松人工林中森林可燃物载量与平均树高（P < 0.05）和林分密度（P < 0.05）显著正相关。结论: 不同起源油松林的森林可燃物载量变化特征及其影响因子存在显著差异，尤其是在不同郁闭度条件下。因此，在调控森林可燃物时，需要根据林分的具体性质制定有针对性措施，从而有效地降低林火风险。

关键词: 可燃物载量, 林分类型, 林分因子, 乔木层可燃物, 油松

Abstract:

Objective: The aim of this study was to investigate the changes of fuel loadings and its affecting factors of Pinus tabuliformis forest of different origins, so as to provide theoretical basis for effective management of forest fuel and prevention of forest fire. Method: The natural and planted P. tabuliformis forests of different forest districts in Shanxi Province were selected as the research objects. 53 sampling plots were set up in different forest stands with different canopy cover (0.2?0.9) and age to investigate the fuel loadings of tree layer, shrub layer, herb layer, litter layer and humus layer, and the altitude (701?1 739 m) of the plots and relevant stand factors were recorded. Firstly, the difference of various forest fuel loadings in different stand types were analyzed by multiple comparison method, and then the differences of fuel loadings at different age classes under different canopy cover were compared. Finally, the affecting factors of forest fuel loadings were determined by fitting linear regression models. Result: 1) The total fuel loadings of different stands of natural forest ranged from 44.2 to 182.18 t·hm^?2, and that of different stands of planted forest ranged from 19.28 to 214.06 t·hm^?2. 2) Multiple comparison results show that: in all kinds of natural forests of P. tabuliformis, the fuel load of the tree layer was the highest, followed by the humus layer. With the exception of the young forest with low canopy cover, other planted forests of P. tabuliformis also showed similar rules. 3) In natural forests, the fuel loads of tree layer, fine fuel and humus layer were significantly different under different canopy cover (P < 0.05), and the fuel loads in young forest was significantly different under different canopy density (P < 0.05). In planted forests, only the fuel load of the tree layer was significantly different under different canopy cover (P < 0.05), there was no significant difference in the fuel loads of other types of fuels (P > 0.05), and the fuel loads of young forest, near-mature forest, and mature forest were significantly different under different canopy cover (P < 0.05). 4) The linear regression results show that: the fuel load of natural forests of P. tabuliformis was negatively correlated to canopy cover (P < 0.05), but positively correlated to the altitude (P < 0.05) significantly. In addition, the fuel load of planted forests was positively correlated to tree height (P < 0.05) and stand density (P < 0.05) significantly. Conclusion: The variation characteristics of forest fuel loading and its influencing factors were different among P. tabuliformis forests of different origins (i.e., natural and planted forest), especially under different canopy cover conditions. Thus, it is necessary to formulate reasonable measures according to the nature of forest stand when regulating forest fuel, so as to effectively reduce forest fire risk.

Key words: fuel loadings, stand types, stand factors, fuel of tree layer, Pinus tabuliformis

中图分类号:

S762.3

孙永明,王彬力. 山西不同起源油松林可燃物载量及其影响因子[J]. 林业科学, 2025, 61(3): 27-37.

Yongming Sun,Binli Wang. Fuel Loadings and Affecting Factors of Pinus tabuliformis Forest of Different Origins in Shanxi[J]. Scientia Silvae Sinicae, 2025, 61(3): 27-37.

图/表 8

图1

图2

图3

图6

图4

图5

表1

表2

参考文献 0

	陈宏伟, 常　禹, 胡远满, 等. 大兴安岭呼中林区森林死可燃物载量及其影响因子. 生态学杂志, 2008, 27 (1): 50- 55.
	Chen H W, Chang Y, Hu Y M, et al. Load of forest surface dead fuel in Huzhong area of Daxing’anling Mountains and relevant affecting factors. Chinese Journal of Ecology, 2008, 27 (1): 50- 55.
	陈智卿, 陈柏华, 吕树德. 塞罕坝机械林场针叶林不同林分类型可燃物载量差异探讨. 河北林果研究, 2014, 29 (2): 138- 140.
	Chen Z Q, Chen B H, Lü S D. Study on the difference of fuel load of coniferous forests at different ages in Saihanba Forest Center. Hebei Journal of Forestry and Orchard Research, 2014, 29 (2): 138- 140.
	高国平, 周志权, 王忠友. 森林可燃物研究综述. 辽宁林业科技, 1998, (4): 35- 38.
	Gao G P, Zhou Z Q, Wang Z Y. Overview of forest fuel research. Liaoning Forestry Science and Technology, 1998, (4): 35- 38.
	郭利峰, 牛树奎, 阚振国. 北京八达岭人工油松林地表枯死可燃物负荷量研究. 林业资源管理, 2007, (5): 53- 58. doi: 10.3969/j.issn.1002-6622.2007.05.013
	Guo L F, Niu S K, Kan Z G. Study on dead surface fuel loading of Pinus tabulaeformis forest of Badaling forest center in Beijing. Forest Resources Management, 2007, (5): 53- 58. doi: 10.3969/j.issn.1002-6622.2007.05.013
	韩　梅, 温　鹏, 许惠敏, 等. 北京市十三陵林场油松林地表火行为模拟. 北京林业大学学报, 2018, 40 (10): 95- 101.
	Han M, Wen P, Xu H M, et al. Simulation of surface fire behavior of Pinus tabuliformis forest in Ming Tombs Forest Farm in Beijing. Journal of Beijing Forestry University, 2018, 40 (10): 95- 101.
	贺红士, 常　禹, 胡远满, 等. 森林可燃物及其管理的研究进展与展望. 植物生态学报, 2010, 34 (6): 741- 752. doi: 10.3773/j.issn.1005-264x.2010.06.013
	He H S, Chang Y, Hu Y M, et al. Contemporary studies and future perspectives of forest fuel and fuel management. Chinese Journal of Plant Ecology, 2010, 34 (6): 741- 752. doi: 10.3773/j.issn.1005-264x.2010.06.013
	胡海清. 利用林分特征因子预测森林地被可燃物载量的研究. 林业科学, 2005, 41 (5): 96- 100. doi: 10.3321/j.issn:1001-7488.2005.05.016
	Hu H Q. Predicting forest surface fuel load by using forest stand factors. Scientia Silvae Sinicae, 2005, 41 (5): 96- 100. doi: 10.3321/j.issn:1001-7488.2005.05.016
	季　蕾, 亢新刚, 郭韦韦, 等. 2016. 金沟岭林场3种林型不同郁闭度林下灌草生物量. 东北林业大学学报, 44(9): 29−33.
	Ji L, Kang X G, Guo W W, et al. 2016. Biomass of shrub and herb under three forest types with different canopy densities in jingouling forest farm. Journal of Northeast Forestry University, 44(9): 29−33. ［in Chinese］
	贾斌英, 刘　薇. 辽阳地区森林地被可燃物载荷量的研究. 辽宁林业科技, 2016, (4): 17- 20. doi: 10.3969/j.issn.1001-1714.2016.04.006
	Jia B Y, Liu W. Studies on forest fuel load capacity in Liaoyang. Liaoning Forestry Science and Technology, 2016, (4): 17- 20. doi: 10.3969/j.issn.1001-1714.2016.04.006
	李连强, 牛树奎, 陶长森, 等. 2019. 妙峰山油松林分结构与地表潜在火行为相关性分析. 北京林业大学学报, 41(1): 73−81.
	Li L Q, Niu S K, Tao C S, et al. 2019. Correlations between stand structure and surface potential fire behavior of Pinus tabuliformis forests in Miaofeng Mountain of Beijing. Journal of Beijing Forestry University, 41(1): 73−81. ［in Chinese］
	李　龙, 高文彬, 王振海. 云杉种群种内竞争探讨. 绿色科技, 2018, 20 (4): 42- 43.
	Li L, Gao W B, Wang Z H. Discussion on intraspecific competition of spruce population. Journal of Green Science and Technology, 2018, 20 (4): 42- 43.
	李伟明. 2018. 北京十三陵林场主要林分类型地表可燃物负荷量及影响因子研究. 北京: 北京林业大学.
	Li W M. 2018. Study on surface fuel load and influencing factors of main stand types in Ming Tombs Forest Farm in Beijing. Beijing: Beijing Forestry University. ［in Chinese］
	梁　瀛, 李吉玫, 赵凤君, 等. 天山中部天山云杉林地表可燃物载量及其影响因素. 林业科学, 2017, 53 (12): 153- 160. doi: 10.11707/j.1001-7488.20171218
	Liang Y, Li J M, Zhao F J, et al. Surface fuel loads of Tianshan spruce forests in the central Tianshan Mountains and the impact factors. Scientia Silvae Sinicae, 2017, 53 (12): 153- 160. doi: 10.11707/j.1001-7488.20171218
	刘彦春, 张远东, 刘世荣, 等. 川西亚高山针阔混交林乔木层生物量、生产力随海拔梯度的变化. 生态学报, 2010, 30 (21): 5810- 5820.
	Liu Y C, Zhang Y D, Liu S R, et al. Changes of tree layer aboveground biomass, ANPP to altitudinal gradient in the subalpine secondary mixed forest of Western Sichuan, China. Acta Ecologica Sinica, 2010, 30 (21): 5810- 5820.
	罗庆辉, 许仲林, 徐泽源, 等. 天山雪岭云杉个体生物量分配及其变化规律的研究. 干旱区地理, 2019, 42 (6): 1378- 1386.
	Luo Q H, Xu Z L, Xu Z Y, et al. Individual biomass allocation and its variation of Picea schrenkiana forests. Arid Land Geography, 2019, 42 (6): 1378- 1386.
	单延龙, 张　敏, 于永波. 森林可燃物研究现状及发展趋势. 北华大学学报(自然科学版), 2004, 5 (3): 264- 269. doi: 10.3969/j.issn.1009-4822.2004.03.024
	Shan Y L, Zhang M, Yu Y B. Current situation and developing trend of the study on forest fuel. Journal of Beihua University (Natural Science), 2004, 5 (3): 264- 269. doi: 10.3969/j.issn.1009-4822.2004.03.024
	舒立福, 田晓瑞. 森林可燃物可持续管理技术理论与研究. 火灾科学, 1999, 8 (4): 18- 24.
	Shu L F, Tian X R. The research and application of the sustainable management technique of forest fuel. Fire Safety Science, 1999, 8 (4): 18- 24.
	孙　龙, 鲁佳宇, 魏书精, 等. 森林可燃物载量估测方法研究进展. 森林工程, 2013, 29 (2): 26- 31. doi: 10.3969/j.issn.1001-005X.2013.02.005
	Sun L, Lu J Y, Wei S J, et al. Research progress of forest fuel load estimation methods. Forest Engineering, 2013, 29 (2): 26- 31. doi: 10.3969/j.issn.1001-005X.2013.02.005
	孙　武. 2013. 江西大岗山地区森林可燃物载量与潜在火行为研究. 北京: 北京林业大学.
	Sun W. 2013. Study on forest fuel load and potential fire behavior in Dagangshan region of Jiangxi Province. Beijing: Beijing Forestry University. ［in Chinese］
	索奥丽, 杜建华, 高　钰, 等. 林火对云南松林地表可燃物负荷量及区域碳排放量的影响. 生态学杂志, 2024, 43 (2): 325- 332.
	Suo A L, Du J H, Gao Y, et al. Effects of forest fire on surface fuel loading and regional carbon emission of Pinus yunnanensis forest. Chinese Journal of Ecology, 2024, 43 (2): 325- 332.
	田晓瑞, 戴兴安, 王明玉, 等. 北京市森林可燃物分类研究. 林业科学, 2006, 42 (11): 76- 80. doi: 10.11707/j.1001-7488.20061114
	Tian X R, Dai X A, Wang M Y, et al. Study on the fuel types classification of forests in Beijing. Scientia Silvae Sinicae, 2006, 42 (11): 76- 80. doi: 10.11707/j.1001-7488.20061114
	王国祥. 1992. 山西森林. 北京: 中国林业出版社.
	Wang G X. 1992. Forests in Shanxi. Beijing: China Forestry Publishing House. ［in Chinese］
	王俊明. 秦岭林区飞播油松纯林森林火灾预防措施. 森林防火, 2011, (4): 23- 25. doi: 10.3969/j.issn.1002-2511.2011.04.009
	Wang J M. Forest fire prevention measures in aerial-seeded pure Pinus tabulaeformis forests in Qinling forest area. Journal of Wildland Fire Science, 2011, (4): 23- 25. doi: 10.3969/j.issn.1002-2511.2011.04.009
	王康锋, 罗永忠. 2023. 陇南市主要林型可燃物载量与环境因子的关系. 森林与环境学报, 43(6): 651−658.
	Wang K F, Luo Y Z. 2023. Relationship between the fuel load and environmental factors of the main forest types in Longnan City. Journal of Forest and Environment, 43(6): 651−658. ［in Chinese］
	王希群, 马履一. 油松、侧柏林种内竞争特点的对比研究. 生态科学, 2006, 25 (6): 481- 484. doi: 10.3969/j.issn.1008-8873.2006.06.001
	Wang X Q, Ma L. Intraspecific competition characteristics between Pinus tabulaeformis and Platycladus orientalis forests. Ecological Science, 2006, 25 (6): 481- 484. doi: 10.3969/j.issn.1008-8873.2006.06.001
	魏云敏, 鞠　琳. 2006. 森林可燃物载量研究综述. 森林防火, (4): 18−21.
	Wei Y M, Ju L. 2006. Review of forest fuel load research. Journal of Wildland Fire Science, (4): 18−21. ［in Chinese］
	吴志伟, 贺红士, 刘晓梅, 等. 丰林保护区地表森林死可燃物载量与环境因子的关系. 东北林业大学学报, 2011, 39 (3): 52- 55. doi: 10.3969/j.issn.1000-5382.2011.03.017
	Wu Z W, He H S, Liu X M, et al. Relationship between loading of dead forest fuels in surface soil and environmental factors in Fenglin nature reserve. Journal of Northeast Forestry University, 2011, 39 (3): 52- 55. doi: 10.3969/j.issn.1000-5382.2011.03.017
	肖化顺, 曾思齐, 谢绍锋, 等. 森林可燃物管理研究进展. 世界林业研究, 2009, 22 (1): 48- 53.
	Xiao H S, Zeng S Q, Xie S F, et al. Progress in research on forest fuels management. World Forestry Research, 2009, 22 (1): 48- 53.
	许　阳, 刘世达, 李英洁, 等. 不同林分类型植被可燃物载量差异分析: 以灵山县森林火灾风险因子普查为例. 森林防火, 2023, 41 (1): 24- 27. doi: 10.3969/j.issn.1002-2511.2023.01.007
	Xu Y, Liu S D, Li Y J, et al. Analysis on the amount of vegetation fuel in different forest types: a case study of forest fire risk factor survey in Lingshan County. Journal of Wildland Fire Science, 2023, 41 (1): 24- 27. doi: 10.3969/j.issn.1002-2511.2023.01.007
	闫泳霖. 五台林区4种林分类型地表可燃物负荷量及其影响因子研究. 晋中: 山西农业大学.
	Yan Y L. 2016. Study on surface fuel load and its influencing factors of 4 stand types in Wutai Forest region. Jinzhong: Shanxi Agricultural University. ［in Chinese］
	于海晨, 王　薇, 杜建华, 等. 油松和侧柏林地表可燃物负荷量及影响因素. 北京林业大学学报, 2021, 43 (6): 33- 40. doi: 10.12171/j.1000-1522.20200364
	Yu H C, Wang W, Du J H, et al. Land surface fuel load and influencing factors of Pinus tabuliformis and Platycladus orientalis plantations. Journal of Beijing Forestry University, 2021, 43 (6): 33- 40. doi: 10.12171/j.1000-1522.20200364
	张国防, 欧文琳, 陈瑞炎, 等. 杉木人工林地表可燃物负荷量动态模型的研究. 福建林学院学报, 2000, 20 (2): 133- 135. doi: 10.3969/j.issn.1001-389X.2000.02.010
	Zhang G F, Ou W L, Chen R Y, et al. Study on the dynamic model of surface fuel loading of Chinese fir plantation. Journal of Fujian College of Forestry, 2000, 20 (2): 133- 135. doi: 10.3969/j.issn.1001-389X.2000.02.010
	张景群, 窦彬生, 叶宏谋. 八种林分类型易燃可燃物分布研究. 陕西林业科技, 1996, 20 (1): 50- 51.
	Zhang J Q, Dou B S, Ye H M. Distribution of flammable fuels in eight stand types. Shaanxi Forest Science and Technology, 1996, 20 (1): 50- 51.
	张　雷, 于澎涛, 王彦辉, 等. 祁连山北坡青海云杉中龄林生物量随海拔的变化. 林业科学, 2015, 51 (8): 1- 7.
	Zhang L, Yu P T, Wang Y H, et al. Biomass change of middle aged forest of Qinghai spruce along an altitudinal gradient on the north slope of Qilian Mountains. Scientia Silvae Sinicae, 2015, 51 (8): 1- 7.
	赵　璇, 游　玮, 晁　志, 等. 秦岭东段不同密度油松飞播林地表可燃物载量及其影响因素研究. 西北林学院学报, 2022, 37 (1): 159- 165. doi: 10.3969/j.issn.1001-7461.2022.01.23
	Zhao X, You W, Chao Z, et al. Surface fuel loads and influencing factors on aerial seeding Pinus tabuliformis forests with different densities in the eastern Qinling montains. Journal of Northwest Forestry University, 2022, 37 (1): 159- 165. doi: 10.3969/j.issn.1001-7461.2022.01.23
	朱　敏, 刘晓东, 李璇皓, 等. 北京西山油松林可燃物调控的影响评价. 生态学报, 2015, 35 (13): 4483- 4491.
	Zhu M, Liu X D, Li X H, et al. Assessment of the impact of fuel management in Pinus tabulaeformis forests in the Beijing West Mountain Area. Acta Ecologica Sinica, 2015, 35 (13): 4483- 4491.
	邹春静, 王庆礼, 韩士杰. 长白山暗针叶林建群种竞争关系的研究. 应用与环境生物学报, 2001, 7 (2): 101- 105. doi: 10.3321/j.issn:1006-687X.2001.02.001
	Zou C J, Wang Q L, Han S J. Study on competition relationship between dificators in dark conifer forest in the Changbai mountains. Chinese Journal of Applied and Environmental Biology, 2001, 7 (2): 101- 105. doi: 10.3321/j.issn:1006-687X.2001.02.001
	Agee J K, Skinner C N. Basic principles of forest fuel reduction treatments. Forest Ecology and Management, 2005, 211 (1): 83- 96.
	Collins B M, Lydersen J M, Fry D L, et al. Variability in vegetation and surface fuels across mixed-conifer-dominated landscapes with over 40 years of natural fire. Forest Ecology and Management, 2016, 381, 74- 83. doi: 10.1016/j.foreco.2016.09.010
	Low K E, Collins B M, Bernal A, et al. Longer-term impacts of fuel reduction treatments on forest structure, fuels, and drought resistance in the Lake Tahoe Basin. Forest Ecology and Management, 2021, 479, 118609. doi: 10.1016/j.foreco.2020.118609
	Lydersen J, Collins B, Knapp E, et al. Relating fuel loads to overstorey structure and composition in a fire-excluded Sierra Nevada mixed conifer forest. International Journal of Wildland Fire, 2015, 24 (4): 484- 494. doi: 10.1071/WF13066
	Penman T D, York A. Climate and recent fire history affect fuel loads in Eucalyptus forests: Implications for fire management in a changing climate. Forest Ecology and Management, 2010, 260 (10): 1791- 1797. doi: 10.1016/j.foreco.2010.08.023
	Reich R M, Lundquist J E, Bravo V A. Spatial models for estimating fuel loads in the Black Hills, South Dakota, USA. International Journal of Wildland Fire, 2004, 13 (1): 119- 129. doi: 10.1071/WF02049
	Schmidt D A, Taylor A H, Skinner C N. The influence of fuels treatment and landscape arrangement on simulated fire behavior, Southern Cascade range, California. Forest Ecology and Management, 2008, 255 (8): 3170- 3184.
	Stambaugh M C, Dey D C, Guyette R P, et al. Spatial patterning of fuels and fire hazard across a central U. S. deciduous forest region. Landscape Ecology, 2011, 26 (7): 923- 935. doi: 10.1007/s10980-011-9618-y
	Stephens S L. Fuel loads, snag abundance, and snag recruitment in an unmanaged Jeffrey pine–mixed conifer forest in Northwestern Mexico. Forest Ecology and Management, 2004, 199 (1): 103- 113. doi: 10.1016/j.foreco.2004.04.017

预测变量 Predictors	估计系数 Estimated coefficient	标准误 Standard error	z值 z value	P值 P value
截距Intercept	?20.31	62.567	0.306	0.760
郁闭度 Canopy cover	?55.29	52.984	0.975	< 0.001
平均树高 Mean tree height	4.01	2.402	1.556	0.120
林分密度 Stand density	0.89	0.199	4.16	0.330
平均胸径Diameter at breast height	1.39	2.234	0.579	0.563
海拔 Altitude	0.10	0.030	3.118	0.002

预测变量 Predictors	估计系数 Estimated coefficient	标准误 Standard error	z值 z value	P值 P value
截距 Intercept	?47.36	16.720	2.693	0.007
郁闭度 Canopy cover	11.91	27.144	0.417	0.676
平均树高Mean tree height	10.92	1.757	5.915	< 0.001
林分密度Stand density	0.58	0.089	6.175	< 0.001
平均胸径 Diameter at breast height	0.18	0.867	0.196	0.844

[1]	周方,蒋科毅,叶兰华,沈庆华,童冉,朱念福,苗永朝,吴统贵. 百山祖国家公园人工林土壤磷素有效性及其影响因素[J]. 林业科学, 2024, 60(11): 37-47.
[2]	李鑫豪,张德怀,张赵森,李建,曹俊,隗骥超,吴晓朦,田赟,刘鹏,于海群. 北京密云油松人工林碳通量组分季节变化及其对环境因子的响应[J]. 林业科学, 2023, 59(7): 35-44.
[3]	刘文浩,王晓,段文标,于澎涛,王彦辉,于艺鹏. 西宁市油松人工林生长季水量平衡特征[J]. 林业科学, 2023, 59(4): 46-56.
[4]	顾泽,刘晓东,陈锋. 不同火烈度条件下油松枝功能性状的响应[J]. 林业科学, 2022, 58(8): 99-108.
[5]	杨菲,林毅雁,陈立欣,韩璐,吴应明,喻雅洁. 晋西黄土区油松和刺槐2种人工林内乔灌优势种的土壤水分利用及水分生态位特征[J]. 林业科学, 2022, 58(6): 1-12.
[6]	张晓文,于青军,罗桂生,贾茜,吴丹妮,贾忠奎. 平泉油松建筑材林立地类型划分及立地质量评价[J]. 林业科学, 2021, 57(9): 1-12.
[7]	刘文桢,袁一超,张连金,赵中华. 基于林分内部状态与邻域环境的油松林稳定性评价[J]. 林业科学, 2021, 57(9): 76-86.
[8]	许塔艳,全文选,李朝婵,潘延楠,谢利娟,郝江涛,高永道. 野生杜鹃林土壤低分子量有机酸分布特征[J]. 林业科学, 2021, 57(8): 24-32.
[9]	周小成,郑磊,黄洪宇. 基于多特征优选的无人机可见光遥感林分类型分类[J]. 林业科学, 2021, 57(6): 24-36.
[10]	梁艳,赵雪莹,白雪,刘德强,张妍,潘朋. PVP处理对黑皮油松外植体酚类物质形成及酶活性的影响[J]. 林业科学, 2021, 57(10): 166-174.
[11]	杨璐,汪金松,赵博,赵秀海. 长期施氮对暖温带油松林土壤呼吸及其组分的影响[J]. 林业科学, 2021, 57(1): 1-11.
[12]	刘生冬,史佳琦,董诗睿,吴新毅,孟庆繁,李燕,赵红蕊,靳英华. 吉林蛟河不同林分腐木甲虫(鞘翅目)多样性分析[J]. 林业科学, 2021, 57(1): 121-130.
[13]	王彬,田相林,曹田健. 油松幼树树高生长预测的不确定性贝叶斯分析[J]. 林业科学, 2020, 56(11): 73-86.
[14]	胡瑞瑞, 梁军, 谢宪, 黄咏槐, 王俊, 苑晓雯, 张英军, 张星耀. 昆嵛山赤松纯林赤枯病特征及与林分因子的关系[J]. 林业科学, 2019, 55(7): 95-104.
[15]	常建国. 油松树干横截面面积年增长量的垂直分布及与材积年增长量和叶量的关系[J]. 林业科学, 2019, 55(6): 55-64.