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    Zhou Ou, Yilihamu Gulimire, Zhu Wei, Wang Yafei, Qu Guanbo, Li Shaoran, Jia Liming, Xi Benye. Soil water characteristics of Populus tomentosa stands under different densities and water treatments[J]. Journal of Beijing Forestry University, 2024, 46(1): 55-67. DOI: 10.12171/j.1000-1522.20230092
    Citation: Zhou Ou, Yilihamu Gulimire, Zhu Wei, Wang Yafei, Qu Guanbo, Li Shaoran, Jia Liming, Xi Benye. Soil water characteristics of Populus tomentosa stands under different densities and water treatments[J]. Journal of Beijing Forestry University, 2024, 46(1): 55-67. DOI: 10.12171/j.1000-1522.20230092

    Soil water characteristics of Populus tomentosa stands under different densities and water treatments

    More Information
    • Received Date: April 23, 2023
    • Revised Date: June 18, 2023
    • Available Online: January 04, 2024
    • Objective 

      In water-deficit area of northern China, soil water content is a crucial factor affecting plant growth. Studying the soil water status of Populus tomentosa stands under different planting densities and water treatments can provide a reference basis for soil water maintenance of plantations in the North China Plain.

      Method 

      Populus tomentosa plantations under five different planting densities (Ⅲ 3 m × 3 m, Ⅱ 3 m × 6 m and Ⅰ 6 m × 6 m) and water (drip irrigation, FI and rainfed, NI) treatments (FI, FI, NI, NI and NI) were selected in this study. During the growing season (May, June, August and October) in 2021, soil water content (SWC) within the 6 m-depth soil profile was measured using the drying-weighing method, soil water content conditions and the occurrence of dry soil layer (DSL) were investigated and compared among different treatments.

      Result 

      (1) Shallow soil layers (0−30 cm and 30−100 cm, ranging from 5.62% to 15.53%) showed significantly lower SWC than the deep soil layers (100−200 cm, 200−400 cm, and 400−600 cm, ranging from 16.50% to 27.00%) in each treatment. The SWC in all stands increased with depth within the vertical profile of 0−240 cm, showing two peaks at 240−260 cm (26.37%−30.56%) and 360−400 cm (22.79%−33.00%), while the change of SWC at 400−600 cm was relatively gradual. (2) All five stands exhibited the highest soil water availability in October, with an average SWC from 20.16% to 23.16%. In rainfed treatment, soil was driest in June independent of planting density, the average SWC ranged from 13.11% to 14.96%. Drip irrigation treatment reduced the seasonal variation in SWC in the soil layer below 30 cm. (3) Under different water treatments, high density stands exhibited the highest soil water availabilities in the deep soil layers (average SWC of 23.18% for FI and 21.13% for NI). However, NI exhibited the highest soil water compensation at the end of the rainy season (October) of 403.12 mm. In both high and low density stands, SWC in the 0−30 cm soil layer was significantly increased by drip irrigation treatment, the compensation of soil water in the deep layers was also enhanced (the change in water storage was 84.40% in FI than in NI, and 173.99% higher in FI than in NI). Drip irrigation treatment only significantly improved soil water storage in high density stands (P < 0.05). (4) Both drip irrigation and precipitation effectively alleviated or eliminated the occurrence of recoverable DSL within 2 m-depth under different planting densities.

      Conclusion 

      According to the results of this study, a 3 m × 3 m planting density with frequent full irrigation treatment during dry season (April to June) is recommended for the cultivation of large-diameter poplar plantation in the North China Yellow River Plain in order to achieve fast tree growth in the early growing stage (2−4 years) and improve water condition of the deep soil layers. After the occurrence of evident density effect and deep soil water content depletion, management practices like thinning can be implemented to maintain soil water production and enhance the productivity of poplar plantations.

    • [1]
      Wilske B, Lu N, Wei L, et al. Poplar plantation has the potential to alter the water balance in semiarid Inner Mongolia[J]. Journal of Environmental Management, 2009, 90(8): 2762−2770.
      [2]
      Wang Y, Yang J, Chen Y, et al. The spatiotemporal response of soil moisture to precipitation and temperature changes in an arid region, China[J/OL]. Remote Sensing, 2018, 10(3): 468[2023−12−08]. https://www.mdpi.com/2072-4292/10/3/468.
      [3]
      Zhang C, Wang Y, Jia X, et al. Variations in capacity and storage of plant-available water in deep profiles along a revegetation and precipitation gradient[J/OL]. Journal of Hydrology, 2020, 581: 124401[2023−12−08]. https://www.sciencedirect.com/science/article/abs/pii/S0022169419311369.
      [4]
      Zhang P, Jeong J H, Yoon J H, et al. Abrupt shift to hotter and drier climate over inner East Asia beyond the tipping point[J]. Science, 2020, 370: 1095−1099. doi: 10.1126/science.abb3368
      [5]
      Qiao L, Zuo Z, Xiao D, et al. Detection, attribution, and future response of global soil moisture in summer[J/OL]. Frontiers in Earth Science, 2021, 9: 745185[2023−12−08]. https://www.frontiersin.org/articles/10.3389/feart.2021.745185/full.
      [6]
      Anderegg L D L, Anderegg W R L, Abatzoglou J, et al. Drought characteristics role in widespread aspen forest mortality across Colorado, USA[J]. Global Change Biology, 2013, 19(5): 1526−1537. doi: 10.1111/gcb.12146
      [7]
      Yang F, Feng Z, Wang H, et al. Deep soil water extraction helps to drought avoidance but shallow soil water uptake during dry season controls the inter-annual variation in tree growth in four subtropical plantations[J]. Agricultural and Forest Meteorology, 2017, 234−235: 106−114. doi: 10.1016/j.agrformet.2016.12.020
      [8]
      Jian S, Zhao C, Fang S, et al. Effects of different vegetation restoration on soil water storage and water balance in the Chinese Loess Plateau[J]. Agricultural and Forest Meteorology, 2015, 206: 85−96. doi: 10.1016/j.agrformet.2015.03.009
      [9]
      Di N, Xi B, Clothier B, et al. Diurnal and nocturnal transpiration behaviors and their responses to groundwater-table fluctuations and meteorological factors of Populus tomentosa in the North China Plain[J]. Forest Ecology and Management, 2019, 448: 445−456. doi: 10.1016/j.foreco.2019.06.009
      [10]
      Yu B, Liu G, Liu Q, et al. Seasonal variation of deep soil moisture under different land uses on the semi-arid Loess Plateau of China[J]. Journal of Soils and Sediments, 2019, 19(3): 1179−1189. doi: 10.1007/s11368-018-2119-8
      [11]
      邱德勋, 赵佰礼, 尹殿胜, 等. 黄土丘陵沟壑区土壤水分垂直变异及影响因素[J]. 中国水土保持科学(中英文), 2021, 19(3): 72−80.

      Qiu D X, Zhao B L, Yin D S, et al. Vertical variation of soil moisture in the loess hilly and gully region and its influence factors[J]. Science of Soil and Water Conservation, 2021, 19(3): 72−80.
      [12]
      Gao Z, Hu X, Li X. Changes in soil water retention and content during shrub encroachment process in Inner Mongolia, northern China[J/OL]. Catena, 2021, 206: 105528[2023−12−08]. https://www.sciencedirect.com/science/article/abs/pii/S0341816221003866.
      [13]
      孔凌霄, 毕华兴, 周巧稚, 等. 晋西黄土区不同立地刺槐林土壤水分动态特征[J]. 水土保持学报, 2018, 32(5): 163−169.

      Kong L X, Bi H X, Zhou Q Z, et al. Dynamics of soil moisture in different stand sites of Robinia pseudoacacia forestland in loess region of western Shanxi Province[J]. Journal of Soil and Water Conservation, 2018, 32(5): 163−169.
      [14]
      Liang H, Xue Y, Shi J, et al. Soil moisture dynamics under Caragana korshinskii shrubs of different ages in Wuzhai County on the Loess Plateau, China[J]. Earth and Environmental Science Transactions of the Royal Society of Edinburgh, 2018, 109(3−4): 387−396. doi: 10.1017/S1755691018000622
      [15]
      Andrews C M, D’Amato A W, Fraver S, et al. Low stand density moderates growth declines during hot droughts in semi-arid forests[J]. Journal of Applied Ecology, 2020, 57(6): 1089−1102. doi: 10.1111/1365-2664.13615
      [16]
      Liu J, Li D, Fernández J, et al. Variations in water-balance components and carbon stocks in poplar plantations with differing water inputs over a whole rotation: implications for sustainable forest management under climate change[J/OL]. Agricultural and Forest Meteorology, 2022, 320: 108958[2023−12−08]. https://www.sciencedirect.com/science/article/abs/pii/S0168192322001484.
      [17]
      张建龙. 中国森林资源报告[M]. 北京: 中国林业出版社, 2019.

      Zhang J L. National forestry and grassland administration[M]. Beijing: China Forestry Publishing House, 2019.
      [18]
      郭彪, 王尚义, 牛俊杰, 等. 晋西北不同植被类型土壤水分时空变化特征[J]. 水土保持通报, 2015, 35(1): 267−273.

      Guo B, Wang S Y, Niu J J, et al. Characteristics of soil moisture variation under different vegetation types in northwestern shanxi province[J]. Bulletin of Soil and Water Conservation, 2015, 35(1): 267−273.
      [19]
      朱炜歆, 牛俊杰, 刘庚, 等. 植被类型对生长季黄土区土壤含水量的影响[J]. 干旱区资源与环境, 2016, 30(1): 152−156.

      Zhu W X, Niu J J, Liu G, et al. The influence of vegetation types on the soil moistures during growing seasons in loess area[J]. Journal of Arid Land Resources and Environment, 2016, 30(1): 152−156.
      [20]
      Wang Y, Shao M A, Zhu Y, et al. Impacts of land use and plant characteristics on dried soil layers in different climatic regions on the Loess Plateau of China[J]. Agricultural and Forest Meteorology, 2011, 151(4): 437−448. doi: 10.1016/j.agrformet.2010.11.016
      [21]
      Shao M, Wang Y, Xia Y, et al. Soil drought and water carrying capacity for vegetation in the critical zone of the Loess Plateau: a review[J/OL]. Vadose Zone Journal, 2018, 17: 170077[2022−02−12]. https://doi.org/10.2136/vzj2017.04.0077.
      [22]
      Ji Y, Zhou G, Li Z, et al. Triggers of widespread dieback and mortality of poplar (Populus spp.) plantations across northern China[J/OL]. Journal of Arid Environments, 2020, 174: 104076[2023−12−08]. https://www.sciencedirect.com/science/article/abs/pii/S0140196319301466.
      [23]
      Liu Z, Jia G, Yu X, et al. Morphological trait as a determining factor for Populus simonii Carr. to survive from drought in semi-arid region[J/OL]. Agricultural Water Management, 2021, 253: 106943[2023−12−08]. https://www.sciencedirect.com/science/article/abs/pii/S0378377421002080.
      [24]
      Jia G, Chen L, Yu X, et al. Soil water stress overrides the benefit of water-use efficiency from rising CO2 and temperature in a cold semi-arid poplar plantation[J]. Plant, Cell & Environment, 2022, 45(4): 1172−1186.
      [25]
      邹松言, 李豆豆, 汪金松, 等. 毛白杨幼林细根对梯度土壤水分的响应[J]. 林业科学, 2019, 55(10): 124−137.

      Zou S Y, Li D D, Wang J S, et al. Response of fine roots to soil moisture of different gradients in young Populus tomentosa plantation[J]. Scientia Silvae Sinicae, 2019, 55(10): 124−137.
      [26]
      祝维, 周欧, 孙一鸣, 等. 混交林内毛白杨和刺槐根系吸水的动态生态位划分[J]. 植物生态学报, 2023, 47(3): 389−403. doi: 10.17521/cjpe.2022.0197

      Zhu W, Zhou O, Sun Y M, et al. Dynamic niche partitioning in root water uptake of Populus tomentosa and Robinia pseudoacacia in mixed forest[J]. Chinese Journal of Plant Ecology, 2023, 47(3): 389−403. doi: 10.17521/cjpe.2022.0197
      [27]
      Hillel D. Introduction to environmental soil physic [M]. San Diego: Elsevier Academic Press, 2004.
      [28]
      Pierret A, Maeght J, Clément C, et al. Understanding deep roots and their functions in ecosystems: an advocacy for more unconventional research.[J]. Annals of Botany, 2016, 118(4): 621−635. doi: 10.1093/aob/mcw130
      [29]
      Maeght J, Rewald B, Pierret A. How to study deep roots-and why it matters[J/OL]. Frontiers in Plant Science, 2013, 4: 299[2023−12−08]. https://www.frontiersin.org/articles/10.3389/fpls.2013.00299/full.
      [30]
      席本野. 杨树根系形态、分布、动态特征及其吸水特性[J]. 北京林业大学学报, 2019, 41(12): 37−49.

      Xi B Y. Morphology, distribution, dynamic characteristics of poplar roots and its water uptake habits[J]. Journal of Beijing Forestry University, 2019, 41(12): 37−49.
      [31]
      贺曰林. 毛白杨S86人工林根区滴灌施肥及水氮调控机制研究[D]. 北京: 北京林业大学, 2021.

      He Y L. Research on the drip irrigation-nitrogen fertigation and mechanism of water-nitrogen regulation in root zone for Populus tomentosa S86 plantation[D]. Beijing: Beijing Forestry University, 2021.
      [32]
      陈洪松, 邵明安, 王克林. 黄土区荒草地和裸地土壤水分的循环特征[J]. 应用生态学报, 2005, 16(10): 1853−1857.

      Chen H S, Shao M A, Wang K L. Water cycling characteristics of grassland and bare land soils on Loess Plateau[J]. Chinese Journal of Applied Ecology, 2005, 16(10): 1853−1857.
      [33]
      Postma J A, Hecht V L, Hikosaka K, et al. Dividing the pie: a quantitative review on plant density responses[J]. Plant, Cell & Environment, 2020, 44(4): 1072−1094.
      [34]
      Wang D, Wang L. Soil water dynamics in apple orchards of different ages on the Loess Plateau of China[J/OL]. Vadose Zone Journal, 2018, 17:180049[2022−02−12]. https://doi.org/10.2136/vzj2018.03.0049.
      [35]
      Nan W, Ta F, Meng X, et al. Effects of age and density of Pinus sylvestris var. mongolica on soil moisture in the semiarid Mu Us Dunefield, northern China[J/OL]. Forest Ecology and Management, 2020, 473: 118313[2023−12−08]. https://www.sciencedirect.com/science/article/abs/pii/S0378112720310823.
      [36]
      Nan W, Liu S, Yang S, et al. Changes of Sabina vulgaris growth and of soil moisture in natural stands and plantations in semi-arid northern China[J/OL]. Global Ecology and Conservation, 2020, 21: e859[2023−12−08]. https://www.sciencedirect.com/science/article/pii/S2351989419304299.
      [37]
      杜满义, 封焕英, 裴顺祥, 等. 晋南不同密度油松人工林土壤水分的物理特性[J]. 东北林业大学学报, 2021, 49(9): 72−76.

      Du M Y, Feng H Y, Pei S X, et al. Soil hydro-physical properties in Pinus tabuliformis plantations with different stand densities in southern Shanxi[J]. Journal of Northeast Forestry University, 2021, 49(9): 72−76.
      [38]
      Zou S, Li D, Di N, et al. Stand development modifies effects of soil water availability on poplar fine-root traits: evidence from a six-year experiment[J]. Plant and Soil, 2022, 480(1−2): 165−184. doi: 10.1007/s11104-022-05568-1
      [39]
      Good S P, Noone D, Bowen G. Hydrologic connectivity constrains partitioning of global terrestrial water fluxes[J]. Science, 2015, 349: 175−177. doi: 10.1126/science.aaa5931
      [40]
      Huang Z, Liu Y, Qiu K, et al. Soil-water deficit in deep soil layers results from the planted forest in a semi-arid sandy land: implications for sustainable agroforestry water management[J/OL]. Agricultural Water Management. 2021, 254: 106985[2023−12−08]. https://www.sciencedirect.com/science/article/abs/pii/S037837742100250X.
      [41]
      王利宝, 张志毅, 康向阳, 等. 造林密度对白杨杂种无性系初期生长性状的影响[J]. 北京林业大学学报, 2012, 34(5): 25−30.

      Wang L B, Zhang Z Y, Kang X Y, et al. Effects of planting density on the early growth traits of white poplar hybrid clones[J]. Journal of Beijing Forestry University, 2012, 34(5): 25−30.
      [42]
      von Arx G, Pannatier E G, Thimonier A, et al. Microclimate in forests with varying leaf area index and soil moisture: potential implications for seedling establishment in a changing climate[J]. The Journal of Ecology, 2013, 101(5): 1201−1213. doi: 10.1111/1365-2745.12121
      [43]
      Bayala J, Prieto I. Water acquisition, sharing and redistribution by roots: applications to agroforestry systems[J]. Plant and Soil, 2020, 453(1−2): 17−28.
      [44]
      Hakamada R E, Hubbard R M, Moreira G G, et al. Influence of stand density on growth and water use efficiency in Eucalyptus clones[J/OL]. Forest Ecology and Management, 2020, 466: 118125[2023−12−08]. https://www.sciencedirect.com/science/article/abs/pii/S0378112720301109.
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      22. 黄超群,梁波,何英姿,李震,刘春花. 广西国有七坡林场森林碳汇价值评价. 林业调查规划. 2024(03): 71-75 .
      23. 袁天健,霍礼鑫,王芳,过建春,柯佑鹏. “两山”理念下海南省森林固碳量与影响因素分析. 林业经济问题. 2024(01): 51-58 .
      24. 那雪迎. 中国森林碳储量变化及固碳潜力的研究. 现代园艺. 2024(15): 59-63 .
      25. 王春晓,邓孟婷,汪雪飞,洪武扬. 基于PLUS-InVEST模型的碳储量时空演变与预测模拟. 中国园林. 2024(06): 70-76 .
      26. 肖嘉文,刘金福,郑雯,王智苑,方梦凡,洪宇,谭芳林. 1974—2018年福建省森林碳储量特征及动态变化. 植物资源与环境学报. 2024(04): 101-108 .
      27. 朱娘金,钟德君,李海滨,罗攀峰,刘荣杰,吴林芳,张蒙. 莲花山白盆珠省级自然保护区2017年——2023年森林动态变化研究. 热带林业. 2024(02): 77-81 .
      28. 吴伟光,许骞骞,羊凌玉,刘宇. 林业增汇潜力及其对中国碳中和的经济影响分析. 农业技术经济. 2024(08): 128-144 .
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      31. 卫格冉,李明泽,全迎,王斌,刘建阳,明烺. 基于地理加权随机森林的黑龙江省森林碳储量遥感估测. 中南林业科技大学学报. 2024(07): 64-76 .
      32. 游欣,冯晓菁,魏绪英,柯琳琳,蔡军火,陈美玲. 南昌市土地利用碳储量变化及多情景预测. 南方林业科学. 2024(05): 30-38 .
      33. 白念森,吴超,勾啸,崔嘉辰,李炜桢,贾朋,赵志刚. 珠江三角洲城市公益林资源分布差异. 林业与环境科学. 2024(05): 130-136 .
      34. 卢昆,李汉瑾,Hui Yu,王健,吴春明,孙祥科. 中国海洋产业蓝碳源汇识别与碳汇发展潜力初探. 中国海洋经济. 2024(02): 188-215+222-223 .
      35. 张灵蕤,刘辉,邓岚,李群. “双碳”目标下我国农林业碳排放效率的时空演变及影响因素分析. 林业经济. 2024(08): 59-83 .
      36. 张子璇,张颖,孙剑锋,孟娜. 森林碳汇计量研究进展与展望. 北京林业大学学报(社会科学版). 2024(04): 52-61 .
      37. 朱念福,郑晔施,童冉,原文文,刘道平,洪奕丰,吴统贵. 长三角地区乔木林碳汇及其对“双碳”目标贡献预测. 生态学杂志. 2024(12): 3817-3827 .
      38. 陈周光,崔伟伟,龙飞. 交通基础设施能影响森林碳汇增长吗?. 兰州财经大学学报. 2023(01): 81-91 .
      39. 史茂源,杜珊,田乐宇,余雪标,周华,吴金群. 海南屯昌不同林龄槟榔人工林地下部分碳储量的分布特征. 海南大学学报(自然科学版). 2023(01): 38-47 .
      40. 姚永华,赵泽新,熊安华. 基于森林资源二类调查的县域森林碳汇及其价值估算研究——以湖北省当阳市为例. 湖北林业科技. 2023(01): 36-42 .
      41. 朱安明,洪奕丰,张旭峰,于海霞,王洪涛,王雅梅,于文吉. 全生命周期木/竹产品碳足迹研究进展. 林产工业. 2023(02): 83-87 .
      42. 刘雨欣. 间伐保留密度对杉木中龄林碳储量的影响. 福建林业科技. 2023(01): 17-22+30 .
      43. 解瑞丽,田丹宇,刘伯翰,柴麒敏. 生态系统碳汇特征分析及对我国生态系统碳汇发展的启示. 环境保护. 2023(03): 30-34 .
      44. 胡勐鸿,李万峰,吕寻. 日本落叶松自由授粉家系选择和无性繁殖利用. 温带林业研究. 2023(01): 7-16 .
      45. 刘亚,黄安胜. 森林碳汇环境库兹涅茨曲线特征及其影响因素分析. 世界林业研究. 2023(02): 132-137 .
      46. 汤颖颖,吴秀芹. 广西岩溶碳汇对气候变化和石漠化治理措施的响应. 北京大学学报(自然科学版). 2023(02): 189-196 .
      47. 陈治中,昝梅,杨雪峰,董煜. 新疆森林植被碳储量预测研究. 生态环境学报. 2023(02): 226-234 .
      48. 牛晓耕,李莹,屈秋实. 碳达峰碳中和目标下河北省森林碳汇估算与潜力预测. 保定学院学报. 2023(03): 18-25 .
      49. 魏玺,邵亚,蔡湘文,林珍铭,肖连刚,刘泽昊. 漓江流域陆地生态系统碳储量时空特征与预测. 环境工程技术学报. 2023(03): 1223-1233 .
      50. 董瑞林,侯艳闯,丁宇婷. 基于饱和发生率、人工防治时滞等非线性变化特征的松材线虫病生态侵染模型构建研究. 南开大学学报(自然科学版). 2023(03): 92-102 .
      51. 徐彩瑶,任燕,孔凡斌. 浙江省土地利用变化对生态系统固碳服务的影响及其预测. 应用生态学报. 2023(06): 1610-1620 .
      52. 肖君. 福州市主要森林类型林下灌木层生物量和碳密度研究. 林业勘察设计. 2023(01): 1-4 .
      53. 刘晓曼,王超,高吉喜,袁静芳,黄艳,王斌,彭阳. 服务双碳目标的中国人工林生态系统碳增汇途径. 生态学报. 2023(14): 5662-5673 .
      54. 曾霞,张勰,廖德志,唐洁,杨艳,黎蕾,李永进,曾梦雪,吉悦娜,刘珉,赵文,易平英,阳涛,徐建军. 不同经营模式杉木人工林乔木层碳储量研究. 湖南林业科技. 2023(04): 45-50 .
      55. 陈科屹,林田苗,王建军,何友均,张立文. 天保工程20年对黑龙江大兴安岭国有林区森林碳库的影响. 生态环境学报. 2023(06): 1016-1025 .
      56. 刘建霞,杨文静,肖宇胜,徐舟,张利,邹胜,刘千里. 阿坝州实现碳达峰碳中和现状分析及发展建议. 四川农业科技. 2023(09): 95-97 .
      57. 王韦韦,吕茂奎,胥超,陈光水. 亚热带常绿阔叶林和杉木人工林有机碳流失动态特征对降雨的响应. 生态学报. 2023(18): 7474-7484 .
      58. 佘生斌,李小华,李海俊,张义伟. 双碳经济下林业发展探讨. 现代农业科技. 2023(20): 90-93 .
      59. 黄占兵. 做好“四篇文章”提升内蒙古林业碳汇能力. 北方经济. 2023(09): 14-16 .
      60. 王岩,管子隆,李菲,刘园. 秦岭北麓(西安段)碳排放和碳汇分析与预测研究. 西北水电. 2023(05): 15-20+25 .
      61. 韩雪莲,张加龙,刘灵,廖易,唐金灏,韩东阳. 基于遥感特征变量的高山松碳储量抽样估算. 西南林业大学学报(自然科学). 2023(06): 117-124 .
      62. 韩艺,张峰. 北京市不同功能分区的乔木林储碳功能对比研究. 林业调查规划. 2023(05): 26-31 .
      63. 马浩然. 公益林生态效益补偿单位采用蓄积及其增量的探索. 浙江农林大学学报. 2023(06): 1273-1281 .
      64. 胡景心,沙青娥,刘慧琳,张雪驰,郑君瑜. 珠江三角洲二氧化碳源汇演变特征及驱动因素. 环境科学. 2023(12): 6643-6652 .
      65. 田晓霞,包庆丰. 森林碳汇发展潜力时空演变与障碍因子诊断——基于31个省份. 中国林业经济. 2023(06): 111-117 .
      66. 张雅薇,王允磊,韩启峰,石晓龙. 碳达峰碳中和背景下提升新疆森林碳汇功能的思考. 温带林业研究. 2023(04): 78-80 .
      67. 曹先磊,许骞骞,吴伟光. 碳交易框架下我国林业增汇潜力及对区域碳减排成本的影响研究. 农业技术经济. 2023(12): 96-110 .
      68. 赵桐,蒙吉军. 基于土地利用变化的成都平原经济区碳储量时空演变与情景模拟. 山地学报. 2023(05): 648-661 .
      69. 蔡宇泽. 林业碳汇服务信托应用于林业企业融资的研究. 林业经济问题. 2023(06): 578-585 .
      70. 易昌民,付伟,赵春艳. 基于CiteSpace的中国林业碳汇研究进展与趋势分析. 林草政策研究. 2023(03): 89-96 .
      71. Zheng-Meng Hou,Ying Xiong,Jia-Shun Luo,Yan-Li Fang,Muhammad Haris,Qian-Jun Chen,Ye Yue,Lin Wu,Qi-Chen Wang,Liang-Chao Huang,Yi-Lin Guo,Ya-Chen Xie. International experience of carbon neutrality and prospects of key technologies: Lessons for China. Petroleum Science. 2023(02): 893-909 .
      72. 杨礼旦. 适应气候变化的人工林多目标经营与管理对策. 温带林业研究. 2022(01): 12-17 .
      73. 洪李斌,卿蕴贤,田佳赫,康洁敏,卢伟. 基于混合效应模型的塞罕坝华北落叶松人工林单木去皮胸径生长预测. 林业与生态科学. 2022(02): 127-133 .
      74. 张桂莲,仲启铖,张浪. 面向碳中和的城市园林绿化碳汇能力建设研究. 风景园林. 2022(05): 12-16 .
      75. 杨鑫,高雯雯,李莎,李冠衡. 基于遥感影像估算的北京中心城区碳储量与气候环境关联性研究. 风景园林. 2022(05): 31-37 .
      76. 张颖,易爱军. 承德市森林碳汇价值核算及其相关问题研究. 创新科技. 2022(05): 83-92 .
      77. Menghong HU,Jiying LI,Man SUN. Strong Seedlings of Improved Varieties and High-efficiency Cultivation of Artificial Forests Promotes the Early Realization of "Carbon Neutrality". Agricultural Biotechnology. 2022(04): 136-141 .
      78. 曾丽,吕寻,胡勐鸿. 良种是加速实现“碳中和”的有效保障措施——以甘肃省地方良种为例. 林业科技通讯. 2022(08): 35-39 .
      79. 林荣华. 森林经营管理对碳汇的影响及提高对策. 乡村科技. 2022(14): 120-123 .
      80. 沈德才,刘婷,莫罗坚,周海琪. 东莞市森林生态系统土壤有机碳含量的地统计学分析. 热带林业. 2022(03): 45-49 .
      81. 张俊飚,何可. “双碳”目标下的农业低碳发展研究:现状、误区与前瞻. 农业经济问题. 2022(09): 35-46 .
      82. 朱海,王立国. 江西省旅游业碳达峰与碳中和研究. 中国生态旅游. 2022(04): 617-631 .
      83. 薛春泉,陈振雄,杨加志,曾伟生,林丽平,刘紫薇,张红爱,苏志尧. 省市县一体化森林碳储量估测技术体系——以广东省为例. 林业资源管理. 2022(04): 157-163 .
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      86. 原作强,王星,毛子昆,蔺菲,叶吉,房帅,王绪高,郝占庆. 典型温带树种固碳速率研究. 北京林业大学学报. 2022(10): 43-51 . 本站查看
      87. 范春楠,刘强,郑金萍,郭忠玲,张文涛,刘英龙,谢遵俊,任增君. 采伐强度对阔叶红松林生态系统碳密度恢复的影响. 北京林业大学学报. 2022(10): 33-42 . 本站查看
      88. 张颖,孟娜,姜逸菲. 中国森林碳汇与林业经济发展耦合及长期变化特征分析. 北京林业大学学报. 2022(10): 129-141 . 本站查看
      89. 王志恒,李仲堃,王融,孔杉,陈晓峰. 基于双重耦合模型的森林固碳综合价值评估. 广西林业科学. 2022(05): 617-625 .
      90. 陈科屹,王建军,何友均,张立文. 黑龙江大兴安岭重点国有林区森林碳储量及固碳潜力评估. 生态环境学报. 2022(09): 1725-1734 .
      91. 廖杨文科,张佩瑶,张清越,李孝刚. 盐碱地林木耐盐机制及造林技术研究进展. 南京林业大学学报(自然科学版). 2022(06): 96-104 .
      92. 荀文会. “碳中和”视角下的沈阳市国土空间规划路径. 规划师. 2022(10): 88-92 .
      93. 许骞骞,曹先磊,孙婷,朱颖,吴伟光. 中国森林碳汇潜力与增汇成本评估——基于Meta分析方法. 自然资源学报. 2022(12): 3217-3233 .
      94. 董战峰,毕粉粉,冀云卿. 中国陆地生态系统碳汇发展的现状、问题及建议. 科技导报. 2022(19): 15-24 .
      95. 肖军,雷蕾,曾立雄,李肇晨,马成功,肖文发. 不同经营模式对华北油松人工林碳储量的影响. 生态环境学报. 2022(11): 2134-2142 .
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      99. 刘海. 闽北典型森林类型植被层碳储量及分配特征. 林业勘察设计. 2022(03): 84-88 .

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