坝上地区典型树种防护林带冬春季防风固沙效能

doi:10.11707/j.1001-7488.LYKX20250444

Abstract

Abstract:

Objective: This study quantitatively evaluated the differences in windbreak efficiency and sand-fixation efficiency of typical sand-fixing tree species (Populus simonii, Pinus sylvestris var. mongolica, and Caragana korshinskii) within the shelterbelt systems of the Bashang region during winter and spring. It further investigated the response relationships and driving mechanisms linking these differences to key near-surface attributes, including vegetation morphology, surface cover, and soil properties. This study aims to provide a scientific basis for optimizing the local vegetation-based protection system and enhancing its year-round windbreak and sand-fixation performance. Method: Field observations were conducted in Kangbao County, Hebei Province, in November 2024, March and April 2025. The shelterbelts of three dominant tree species (P. simonii, P. sylvestris var. mongolica, and C. korshinskii) were selected as experimental objects, with the adjacent bare land as control plots. For each vegetation type, three observation points were set up along the prevailing wind direction at the windward side, within, and leeward side of the shelterbelt, and wind speed and sand transport flux were measured synchronously using cup anemometers and omnidirectional rotating sand collectors to calculate windbreak efficiency and sand-fixation efficiency. The tree height, crown width, coverage, litter thickness and density (undecomposed and semi-decomposed layers), understory vegetation height and coverage were investigated, and the surface soil (0–10 cm) properties: particle size distribution (sand, silt, clay), soil density, and moisture content were analyzed. One-way ANOVA was used to compare differences, Pearson correlation was used to examine associations, and redundancy analysis combined with multiple regression was used to quantify key drivers and their contributions. Result: There were significant differences in windbreak effectiveness and sand-fixation efficiency among vegetation types during winter and spring: the windbreak effectiveness was shown as the order of P. sylvestris var. mongolica (81.16%) > P. simonii (63.94%) > C. korshinskii (47.96%), while sand-fixation efficiency was ranked as P. simonii (97.78%) > P. sylvestris var. mongolica (96.23%) > C. korshinskii (89.39%). Compared to bare land, vegetation restoration significantly modified near-surface characteristics, reducing surface soil clay content by 1.80%–2.62%, increasing silt content by 10.88%–11.84%, and decreasing soil density by 11.52%–20.00%. The litter characteristics and understory vegetation height of the P. simonii plots were significantly better than those of the other species plots. Redundancy analysis indicated that near-surface characteristics collectively explained 89.2% of the variation in protective functions, with crown width identified as the dominant driver (60.3%), followed by soil moisture content (9.4%), clay content (6.0%), and density of the undecomposed litter layer (4.5%). The multiple regression model quantitatively characterized the contribution of key factors. Conclusion: During the wind-prone winter and spring seasons in arid regions, there are significant differences in windbreak and sand-fixation efficiency among different sand-fixing vegetation types. The evergreen arbor maintains the highest windbreak efficiency owing to their persistent canopy, while deciduous trees exhibit optimal sand-fixation performance due to substantial litter accumulation. Crown width is the most critical factor regulating protective efficiency, yet its direct management remains constrained. Enhancing ground coverage, particularly through high-litter accumulation, proves to be an effective approach for strengthening wind erosion control in winter and spring. The findings suggest that vegetation restoration practices should account for seasonal protection needs: in areas with severe wind erosion, P. sylvestris var. mongolica should be prioritized to reduce wind speed, whereas in areas with vulnerable surface soil, greater emphasis should be placed on P. simonii to suppress particle transport. This tailored approach can enable effective year-round control of regional soil wind erosion and support sustainable ecosystem management.

Key words: vegetation type, windbreak efficiency, sand-fixing efficiency, Bashang region

CLC Number:

S727.23
S157

Changxuan Zhu,Jin Zhang,Wei Li,Yushan Zhang,Yonghan Feng,Tao Jiang,Guodong Jia,Xinxiao Yu. Windbreak and Sand-Fixation Benefits of Shelterbelts of Typical Tree Species in the Bashang Region during Winter and Spring[J]. Scientia Silvae Sinicae, 2026, 62(3): 25-35.

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	白子怡, 董治宝, 南维鸽, 等. 两种草本植物群落的防风固沙效能对比. 地理科学, 2025, 45 (2): 438- 448.
	Bai Z Y, Dong Z B, Nan W G, et al. Comparison of windbreak efficiency between two herbaceous plant communities. Geographical Science, 2025, 45 (2): 438- 448.
	迟　旭, 崔向新, 党晓宏, 等. 吉兰泰盐湖绿洲柽柳灌丛生长与沙堆形态特征的关系. 西北农林科技大学学报(自然科学版), 2022, 50 (3): 49- 58. doi: 10.13207/j.cnki.jnwafu.2022.03.007
	Chi X, Cui X X, Dang X H, et al. Relationship between Tamarix chinensis shrub growth and sandpile morphology in Jilantai Salt Lake Oasis. Journal of Northwest A& F University(Natural Sciences Edition), 2022, 50 (3): 49- 58. doi: 10.13207/j.cnki.jnwafu.2022.03.007
	杜华栋, 曹祎晨, 聂文杰, 等. 黄土沟壑区采煤塌陷地人工与自然植被恢复下土壤性质演变特征. 煤炭学报, 2021, 46 (5): 1641- 1649.
	Du H D, Cao Y C, Nie W J, et al. Evolution of soil properties under artificial and natural revegetation in loess gully coal mining subsidence area. Journal of China Coal Society, 2021, 46 (5): 1641- 1649.
	何文强, 陈　林, 庞丹波, 等. 枯落物输入改变对森林生态系统土壤理化性质的影响. 生态学报, 2024, 44 (4): 1755- 1763.
	He W Q, Chen L, Pang D B, et al. Effects of litter input change on soil physical and chemical properties in forest ecosystem. Acta Ecologica Sinica, 2024, 44 (4): 1755- 1763.
	黄　羡, 余新晓, 贾国栋, 等. 林分密度对小叶杨人工林林下植被和土壤性质的影响. 应用生态学报, 2025, 36 (4): 1035- 1042. doi: 10.13287/j.1001-9332.202504.001
	Huang X, Yu X X, Jia G D, et al. Effects of stand density on understory vegetation and soil properties in Populus simonii plantations. Chinese Journal of Applied Ecology, 2025, 36 (4): 1035- 1042. doi: 10.13287/j.1001-9332.202504.001
	蒋　涛. 2022,. 华北地区典型人工林树干液流动态变化及对环境因子响应研究. 北京: 北京林业大学.
	Jiang T. 2022,. Sap flow dynamics and environmental responses of typicalplantation forest in north China. Beijing: Beijing Forestry University. ［in Chinese］
	靳文娟, 魏忠义. 柴河铅锌矿尾矿库复垦治理中不同覆土与植被措施的效益估算. 中国环境科学, 2022, 40 (6): 2577- 2587. doi: 10.3969/j.issn.1000-6923.2020.06.028
	Jin W J, Wei Z Y. Benefit estimation of different soil covering and vegetation measures in the reclamation and remediation of the tailings pond of Chaihe lead-zinc mine. China Environmental Science, 2022, 40 (6): 2577- 2587. doi: 10.3969/j.issn.1000-6923.2020.06.028
	李登科, 卓　静, 孙智辉. 基于RS和GIS的退耕还林生态建设工程成效监测. 农业工程学报, 2008, 24 (12): 120- 126. doi: 10.3321/j.issn:1002-6819.2008.12.026
	Li D K, Zhuo J, Sun Z H. Monitoring the effects of ecosystem restructuring project after returning farmland to forest based on RS and GIS. Transactions of the Chinese Society of Agricultural Engineering, 2008, 24 (12): 120- 126. doi: 10.3321/j.issn:1002-6819.2008.12.026
	李锦隆, 王满堂, 李涵诗, 等. 冠层高度对江西69种阔叶树小枝单叶生物量与出叶强度关系的影响. 林业科学, 2021, 57 (2): 62- 71.
	Li J L, Wang M T, Li H S, et al. Effects of canopy height on the relationship between individual leaf mass and leafing intensity of 69 broad leaved trees in Jiangxi Province. Scientia Silvae Sinicae, 2021, 57 (2): 62- 71.
	厉静文, Dosmanbetov D A, 郭　浩, 等. 不同配置乔灌混交林防风效益的风洞试验. 农业工程学报, 2020, 36 (11): 95- 102.
	Li J W, Dosmanbetov D A, Guo H, et al. Wind tunnel experiment on protection benefits of arbor-shrub mixed forest belts in different configurations. Transactions of the Chinese Society of Agricultural Engineering, 2020, 36 (11): 95- 102.
	李　鹏, 陈　璇, 杨章旗, 等. 不同密度马尾松人工林枯落物输入对土壤理化性质的影响. 水土保持学报, 2022, 36 (2): 368- 377.
	Li P, Chen X, Yang Z Q, et al. Effects of litter input on soil physical and chemical properties of Pinus massoniana plantations with different densities. Journal of Soil and Water Conservation, 2022, 36 (2): 368- 377.
	李学斌, 吴秀玲, 陈　林, 等. 荒漠草原4种主要植物群落枯落物层水土保持功能. 水土保持学报, 2012, 26 (4): 189- 193.
	Li X B, Wu X L, Chen L, et al. Litter layer of soil and water conservation function of four plant communities in desert steppe. Journal of Soil and Water Conservation, 2012, 26 (4): 189- 193.
	李转桃. 2024,. 基于风洞试验模拟三种典型荒漠植物防风固沙效能的研究. 兰州: 甘肃农业大学.
	Li Z T. 2024,. Study on the effectiveness of three typical desert plants in preventing wind and fixing sand based on wind tunnel test simulation. Lanzhou: Gansu Agricultural University. ［in Chinese］
	赛　克, 赵媛媛, 包岩峰, 等. 干旱半干旱区落叶期农田防护林防风效果的风洞试验研究. 农业工程学报, 2021, 37 (5): 157- 165. doi: 10.11975/j.issn.1002-6819.2021.05.018
	Sai K, Zhao Y Y, Bao Y F, et al. Wind-tunnel tests study of shelter effects of deciduous farmland shelterbelts in arid and semi-arid areas. Transactions of the Chinese Society of Agricultural Engineering, 2021, 37 (5): 157- 165. doi: 10.11975/j.issn.1002-6819.2021.05.018
	孙悦超, 麻硕士, 陈　智, 等. 旱作农田近地表风沙运动与防风蚀效果. 农业机械学报, 2011, 42 (1): 54- 58. doi: 10.3969/j.issn.1000-1298.2011.01.013
	Sun Y C, Ma S S, Chen Z, et al. Drought farmland near surface blown sand and wind erosion controlling effect. Transactions of the Chinese Society for Agricultural Machinery, 2011, 42 (1): 54- 58. doi: 10.3969/j.issn.1000-1298.2011.01.013
	王荣潇, 张颂安, 高广磊, 等. 不同林龄樟子松人工林枯落物-根系-土壤碳氮磷化学计量特征. 应用生态学报, 2025, 36 (6): 1699- 1707.
	Wang R X, Zhang S A, Gao G L, et al. Characteristics of carbon, nitrogen and phosphorus stoichiometry in litter-root-soil of Pinus sylvestris var. mongolica plantations with different stand age. Chinese Journal of Applied Ecology, 2025, 36 (6): 1699- 1707.
	王镱潼, 唐泽军, 陈　超, 等. 内蒙库布齐沙漠表层固沙室内风洞模拟试验. 中国环境科学, 2017, 37 (8): 2888- 2895.
	Wang Y T, Tang Z J, Chen C, et al. Wind tunnel experimental study on desert surface of Kubuqi Desert, Inner Mongolia. China Environmental Science, 2017, 37 (8): 2888- 2895.
	王志刚, 辛智鸣, 赵英铭, 等. 我国绿洲防护林冬季相防风效应的估算. 林业科学, 2014, 50 (8): 90- 96. doi: 10.11707/j.1001-7488.20140813
	Wang Z G, Xin Z M, Zhao Y M, et al. Evaluation of wind protection effect of oasis shelterbelts in China. Scientia Silvae Sinicae, 2014, 50 (8): 90- 96. doi: 10.11707/j.1001-7488.20140813
	解李娜, 吴祺琪, 王宇萌, 等. 锦鸡儿属灌木阻止干旱草地沙漠化生态过程. 生态学报, 2024, 44 (4): 1680- 1691. doi: 10.20103/j.stxb.202210223010
	Xie L N, Wu Q Q, Wang Y M, et al. Ecological processes of preventing arid grasslands from changing into deserts by Caragana shrubs. Acta Ecologica Sinica, 2024, 44 (4): 1680- 1691. doi: 10.20103/j.stxb.202210223010
	杨　京, 张延文, 李　灿, 等. 毛乌素沙地固沙林枯落物−土壤连续体生态化学计量特征. 水土保持学报, 2023, 37 (3): 345- 352. doi: 10.13870/j.cnki.stbcxb.2023.03.044
	Yang J, Zhang Y W, Li C, et al. Stoichiometric characteristics of the litter-soil continuum in sand fixation forest of the Mu Us sandy land. Journal of Soil and Water Conservation, 2023, 37 (3): 345- 352. doi: 10.13870/j.cnki.stbcxb.2023.03.044
	袁立敏, 黄海广, 闫德仁, 等. 不同沙埋程度下带状沙障的防风固沙效果研. 农业工程学报, 2019, 35 (16): 172- 179. doi: 10.11975/j.issn.1002-6819.2019.16.019
	Yuan L M, Huang H G, Yan D R, et al. Effect of wind-preventing and sand fixation of belt sand barrier under different degree of sand burial. Transactions of the Chinese Society of Agricultural Engineering, 2019, 35 (16): 172- 179. doi: 10.11975/j.issn.1002-6819.2019.16.019
	袁小琴, 刘生权, 艾　峰, 等. 毛乌素沙地东南缘沙柳(Salix psammophila)群落枯落物抗风蚀特征. 中国沙漠, 2022, 42 (1): 134- 138. doi: 10.7522/j.issn.1000-694X.2021.00138
	Yuan X Q, Liu S Q, Ai F, et al. Wind erosion resistance of litter of Salix psammophila community in the southeast edge of Mu Us sandy land, China. Journal of Desert Research, 2022, 42 (1): 134- 138. doi: 10.7522/j.issn.1000-694X.2021.00138
	赵沛义, 妥德宝, 李焕春, 等. 土壤含水率及物理性砂粒含量对风蚀模数影响的风洞模拟. 农业工程学报, 2012, 28 (24): 188- 195. doi: 10.3969/j.issn.1002-6819.2012.24.026
	Zhao P Y, Tuo D B, Li H C, et al. Effects of soil moisture and physical sand content on wind erosion modulu in wind tunnel testing. Transactions of the Chinese Society of Agricultural Engineering, 2012, 28 (24): 188- 195. doi: 10.3969/j.issn.1002-6819.2012.24.026
	赵晓萌, 程　宏, 蒋　宁, 等. 京津风沙源土壤风蚀时空格局及其演化. 科学通报, 2023, 68 (Z1): 238- 253.
	Zhao X M, Cheng H, Jiang N, et al. Spatial and temporal evolution of soil wind erosion in the Beijing-Tianjin sandstorm sources. Chinese Science Bulletin, 2023, 68 (Z1): 238- 253.
	智　丹, 王京学, 肖辉杰, 等. 乌兰布和荒漠绿洲过渡带白刺灌丛沙堆防风效应风洞模拟. 农业工程学报, 2024, 40 (3): 147- 155. doi: 10.11975/j.issn.1002-6819.202307119
	Zhi D, Wang X J, Xiao H J, et al. Wind tunnel simulation on the windbreak effect of Nitraria tangutorum nebkhas in Ulan Buh desert-oasis ecotone of China. Transactions of the Chinese Society of Agricultural Engineering, 2024, 40 (3): 147- 155. doi: 10.11975/j.issn.1002-6819.202307119
	朱教君, 姜凤岐, 范志平, 等. 林带空间配置与布局优化研究. 应用生态学报, 2003, 14 (8): 1205- 1212.
	Zhu J J, Jiang F Q, Fan Z P, et al. Optimization of spatial arrangements and patterns for shelterbelts or windbreaks. Chinese Journal of Applied Ecology, 2003, 14 (8): 1205- 1212.
	Borrelli P, Panagos P, Alewell C, et al. Policy implications of multiple concurrent soil erosion processes in European farmland. Nature Sustainability, 2023, 6 (1): 103- 112.
	Du H Q, Wang T, Xue X. Potential wind erosion rate response to climate and land-use changes in the watershed of the Ningxia-Inner Mongolia reach of the Yellow River, China, 1986—2013. Earth Surface Processes And Landforms, 2017, 42 (13): 1923- 1937. doi: 10.1002/esp.4146
	Feng Y H, Sui X, Tang J, et al. Responses of belowground fine root biomass and morphology in Robinia pseudoacacia L. plantations to aboveground environmental factors. Global Ecology and Conservation, 2024, 2017 (50): e02863.
	Gong G L, Liu J Y, Shao Q Q, et al. Sand-fixing function under the change of vegetation coverage in a wind erosion area in northern China. Journal of Resources and Ecology, 2014, 5 (2): 105- 114. doi: 10.5814/j.issn.1674-764x.2014.02.002
	Hagen L J, Casada M E. 2013,. Effect of canopy leaf distribution on sand transport and abrasion energy. Aeolian Research, (10): 37−42.
	Jiang N, Cheng H, Liu C C, et al. A wind tunnel study of the effects of vegetation structural characteristics on the airflow field. Catena, 2024, 242, 108064. doi: 10.1016/j.catena.2024.108064
	Liu Q F, Zhang Q, Yan Y Z, et al. Ecological restoration is the dominant driver of the recent reversal of desertiﬁcation in the Mu Us Desert (China). Journal of Cleaner Production, 2020, 268, 122241. doi: 10.1016/j.jclepro.2020.122241
	Miri A, Dragovichb D, Dong Z B. Wind-borne sand mass ﬂux in vegetated surfaces: wind tunnel experiments with live plants. Catena, 2019, 172, 421- 434.
	Parolari A J, Li D, Bou-Zeid E, et al. 2016,. Climate, not conflict, explains extreme Middle East dust storm. Environmental Research Letters, 11: 114013.
	Torita H, Satou H. Relationship between shelterbelt structure and mean wind reduction. Agricultural and Forest Meteorology, 2007, 145 (3): 186- 194.
	Wang S Q, Baima G, Ge J Z, et al. 2022,. Soil erosion-reducing efficiency of litter cover varies with litter shape and coverage in a desert ecosystem. Journal of Arid Environments, 196: 104655.
	Wei X H, Wu X D, Wang D, et al. Spatiotemporal variations and driving factors for potential wind erosion on the Mongolian Plateau. Science of the Total Environment, 2023, 862, 160829. doi: 10.1016/j.scitotenv.2022.160829
	Yan Y C, Wang X, Guo Z J, et al. Inﬂuence of wind erosion on dry aggregate size distribution and nutrients in three steppe soils in northern China. Catena, 2018, 170, 159- 168. doi: 10.1016/j.catena.2018.06.013
	Zhang J M, Yu X X, Jia G D, et al. Determination of optimum vegetation type and layout for soil wind erosion control in desertified land in north China. Ecological Engineering, 2021, 171, 106383. doi: 10.1016/j.ecoleng.2021.106383
	Zhang J P, Jia Z Q, Li Q X, et al. Determine the optimal vegetation typefor soil wind erosion prevention and control in the alpine sandy land ofthe Gonghe Basin on the Qinghai Tibet Plateau. Forests, 2023, 14 (12): 2342.
	Zhang J Q, Zhang C L, Chang C P, et al. 2017,. Comparison of wind erosion based on measurements and SWEEP simulation: a case study in Kangbao County, Hebei Province, China. Soil & Tillage Research, 165: 169−180.

植被类型 Vegetation type	林分类型 Stand type	林龄 Forest age/a	林带宽度 Shelterbelt width/m	林分密度 Stand density/ (trees?hm^?2)	株距 Plant spacing/m	树高 Tree height/m	冠幅 Crown width/m	郁闭度 Canopy closure	坐标 Coordinate	海拔 Altitude/ m	面积 Area/ hm²
SP	人工林 Forest plantation	42	85.4±3.25	452.4±14.3	2.85±0.18	11.93±0.41	3.55±0.14	0.11	41°55′34″N，114°50′28″E	1412.2±4.2	2.12
MP	人工林 Forest plantation	48	71.2±1.39	825.4±19.5	2.57±0.23	12.23±0.28	1.56±0.11	0.42	41°55′22″N，114°50′34″E	1439.3±3.6	2.08
KP	人工林 Forest plantation	10	93.7±4.16	1328±23.8	1.35±0.08	1.19±0.04	0.74±0.05	0.04	41°55′24″N，114°50′41″E	1454.0±2.9	1.97
BL	—	—	—	—	—	—	—	—	41°55′35″N，114°50′17″E	1420.2±1.4	5.78

植被类型 Vegetation type	树高 Tree height/ m	冠幅 Crown width/m	盖度 Coverage (%)	枯落物 Litter				林下植被 Understory vegetation
				未分解层 Undecomposed layer		半分解层 Semi-decomposed layer		高度 Height/cm	盖度 Coverage (%)
				厚度 Thicknesses/ mm	密度 Density/ (g?m^?2)	厚度 Thicknesses/ mm	密度 Density/ (g?m^?2)	高度 Height/cm	盖度 Coverage (%)
SP	12.23±0.28A	1.56±0.11B	8.42±0.96B	15.57±2.71A	664.84±147.14A	13.14±1.58A	1913.06±146.50A	12.71±0.56A	22.28±1.78C
MP	11.93±0.41A	3.55±0.14A	39.33±0.84A	11.23±1.61A	383.77±51.84B	10.42±1.58A	1185.09±244.95B	8.28±0.42B	66.28±2.67A
KP	1.19±0.04B	0.74±0.05C	3.42±0.17C	3.45±0.48B	37.59±2.62C	4.97±0.58B	74.39±5.94C	4.85±0.50C	48.71±2.20B

植被类型 Vegetation type	土壤质地Soil texture			土壤含水率 Soil moisture content （%）	土壤密度 Soil density/ (g?cm^?3)
植被类型 Vegetation type	黏粒含量 Clay content (%)	粉粒含量 Silt content (%)	砂粒含量 Sand content (%)	土壤含水率 Soil moisture content （%）	土壤密度 Soil density/ (g?cm^?3)
SP	1.25±0.02D	75.79±0.35A	23.43±0.53B	12.61±1.71A	1.32±0.01C
MP	1.45±0.02C	76.04±0.32A	22.93±0.65B	12.14±1.93A	1.46±0.01B
KP	2.07±0.03B	76.75±0.07A	21.17±0.08C	8.47±1.29A	1.62±0.02A
BL	3.87±0.06A	64.91±0.97B	31.22±0.94A	7.44±0.06A	1.65±0.04A

植被类型 Vegetation type	最小值 Min. (%)	最大值 Max. (%)	平均值 Mean (%)	标准差 Standard deviation (SD) (%)	变异系数 Coefficient of variation (CV)
SP	41.95	90.06	63.94	14.49	0.22
MP	70.69	90.19	81.16	6.49	0.07
KP	33.54	66.19	47.96	9.89	0.20

植被类型 Vegetation type	最小值 Min. (%)	最大值 Max. (%)	平均值 Mean (%)	标准差 Standard deviation (SD)(%)	变异系数 Coefficient of variation (CV)
SP	96.84	98.74	97.78	0.63	0.006
MP	94.71	98.24	96.23	1.16	0.012
KP	86.04	92.11	89.39	2.16	0.024

Windbreak and Sand-Fixation Benefits of Shelterbelts of Typical Tree Species in the Bashang Region during Winter and Spring

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指标Index	WBE	SFE	TH	CW	CO	LUT	LUD	LPT	LPD	UH	UC	CL	SI	SA	SMC	SBD
WBE	1
SFE	0.506^*	1
TH	0.678^**	0.927^**	1
CW	0.786^**	0.557^**	0.709^**	1
CO	0.749^**	0.431	0.588^**	0.987^**	1
LUT	0.381	0.733^**	0.694^**	0.308	0.197	1
LUD	0.307	0.727^**	0.686^**	0.258	0.142	0.905^**	1
LPT	0.452^*	0.689^**	0.686^**	0.332	0.226	0.817^**	0.765^**	1
LPD	0.391	0.828^**	0.819^**	0.349	0.216	0.780^**	0.809^**	0.808^**	1
UH	0.348	0.769^**	0.785^**	0.198	0.051	0.659^**	0.710^**	0.573^**	0.851^**	1
UC	0.315	?0.278	?0.133	0.574^**	0.688^**	?0.370	?0.424	?0.338	?0.447^*	?0.582^**	1
CL	?0.552^**	?0.939^**	?0.976^**	?0.545^*	?0.406	?0.725^**	?0.736^**	?0.703^**	?0.870^**	?0.873^**	0.328	1
SI	?0.291	?0.504^*	?0.497^*	?0.267	-0.195	?0.461^*	?0.505^*	?0.189	?0.439^*	?0.423	0.172	0.518^*	1
SA	0.359	0.591^**	0.617^**	0.355	0.269	0.431	0.566^**	0.472^*	0.581^**	0.596^**	?0.218	?0.646^**	?0.464^*	1
SMC	0.509^*	0.387	0.411	0.267	0.214	0.615^**	0.531^*	0.503^*	0.469^*	0.393	?0.158	?0.400	?0.246	0.031	1
SBD	?0.403	?0.865^**	?0.885^**	?0.318	?0.166	?0.672^**	?0.712^**	?0.675^**	?0.848^**	?0.920^**	0.524^*	0.954^**	0.428	?0.580^**	?0.366	1

[1]	Qunfang Zheng,Jianzhuang Pang,Yifan Zhang,Xiaoyun Wu,Qin Zhang,Hang Xu,Yang Xu,Zhiqiang Zhang. Spatiotemporal Variation Characteristics of Vegetation Water Use Efficiency in the Three-North Shelterbelt Forest Program Region [J]. Scientia Silvae Sinicae, 2026, 62(2): 75-84.
[2]	Huimei Pu,Yuan Li,Jinkui Wu,Ze Ma,Weifeng Song. Characteristics and Interrelations of Hydrogen and Oxygen Stable Isotopes among Different Water Bodies under Three Typical Vegetation in The Water Conservation Area of Hani Terrace [J]. Scientia Silvae Sinicae, 2022, 58(5): 1-9.
[3]	Zou Jie, Ding Jianli. Changes of Water Use Efficiency of Main Vegetation Types in Central Asia from 2000 to 2014 [J]. Scientia Silvae Sinicae, 2019, 55(3): 175-182.
[4]	Xu Hongxia;Xin Zhongyao;Wang Hongjian;Wang Xiangzhi. Community Diversity of Longhorn Beetles in Baishuijiang Nature Reserve [J]. Scientia Silvae Sinicae, 2011, 47(8): 182-187.
[5]	Yu Xinxiao;Geng Yuqing;Niu Lili;Yue Yongjie. Effect of Sampling Scale on Spatial Variability of Forest Soil Nutrient in Typical Watershed with Miyun Chaoguan West Watershed for example [J]. Scientia Silvae Sinicae, 2010, 46(10): 162-166.
[6]	Zhou Wei;Zhou Yunchao. Soil Enzyme Activities under Different Vegetation Types in Beipan River Karst Gorge District [J]. Scientia Silvae Sinicae, 2010, 46(1): 136-141.
[7]	Huang Chengbiao;Wei Binger;Li Jiejuan. A STUDY ON SURFACE RUNOFF OF DIFFERENT TYPES OF VEGETATION IN GUANGXI AUTONOMOUS REGION [J]. , 1991, 27(5): 490-497.