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林业科学 ›› 2023, Vol. 59 ›› Issue (10): 76-88.doi: 10.11707/j.1001-7488.LYKX20230190

• 研究论文 • 上一篇    下一篇

短轮伐毛白杨人工林耗水规律及作物系数曲线构建

李玲雅1,2,3,邸楠4,刘金强1,2,3,赵小宁1,2,3,邹松言5,付海曼6,席本野1,2,3,*   

  1. 1. 林木资源高效生产全国重点实验室 北京 100083
    2. 干旱半干旱地区森林培育和生态系统研究国家林业和草原局重点实验室 北京 100083
    3. 北京林业大学省部共建森林培育与保护教育部重点实验室 北京 100083
    4. 内蒙古大学生态与环境学院 呼和浩特 010021
    5. 重庆市林业投资开发有限责任公司 重庆 401147
    6. 国家林业和草原局产业发展规划院 北京 100010
  • 收稿日期:2023-05-06 出版日期:2023-10-25 发布日期:2023-11-01
  • 通讯作者: 席本野
  • 基金资助:
    国家重点研发计划课题(2021YFD2201203)

Water Consumption Pattern and Crop Coefficient Curve Construction of Short-rotation Populus tomentosa Plantations

Lingya Li1,2,3,Nan Di4,Jinqiang Liu1,2,3,Xiaoning Zhao1,2,3,Songyan Zou5,Haiman Fu6,Benye Xi1,2,3,*   

  1. 1. State Key Laboratory of Efficient Production of Forest Resources Beijing 100083
    2. Key Laboratory for Silviculture and Forest Ecosystem Research in Arid- and Semi-Arid Region of National Forestry and Grassland Administration Beijing 100083
    3. Key Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry University Beijing 100083
    4. School of Ecology and Environment, Inner Mongolia University Hohhot 010021
    5. Chongqing Forestry Investment and Development Company Chongqing 401147
    6. Industrial Development Planning Institute of National Forestry and Grassland Administration Beijing 100010
  • Received:2023-05-06 Online:2023-10-25 Published:2023-11-01
  • Contact: Benye Xi

摘要:

目的: 明确短轮伐毛白杨人工林在轮伐期内的长期耗水规律并构建(基础)作物系数曲线,为毛白杨人工林节水灌溉与经营管理提供依据。方法: 对充分供水下2~6 年生毛白杨人工林的蒸腾(Tr)、土壤蒸发(Es)和林分蒸散(ET)进行连续监测,同时获取气象因子、茎干直径日增长量(DGR)、叶面积指数(LAI)和地下水位数据,并计算参考作物潜在蒸散量(ET0)、基础作物系数(Kcb)和作物系数(Kc)。结果: 1)林分每年的主要生长阶段不同,但 5—7 月均生长最快,该时期林木的直径生长量占生长季总生长量的 69%~88%,ET累积量占生长季 ET总量的47%~61%。根据轮伐期内林分的平均DGR 和 LAI 季节动态,可将毛白杨人工林生长阶段划分为生长前期、发展期、生长中期和生长末期,其对应时段分别为4 月初—4 月中旬、4 月中旬—6 月中旬、6 月中旬—8 月中旬和8 月中旬—10 月末。2)林分 Tr、Es 和 ET存在明显的季节变化,但变化模式在不同林龄上存在较大差异;另外,林分Tr的季节变化与ET0仅在 3~6 年生林分中显著正相关(P < 0.05)、 Es 和 ET0 的正相关(P < 0.05)只出现在2年生和6年生林分中,但 ET 和 ET 0在所有林龄林分中均存在正相关关系(P < 0.05)。林分年总 ET 和 Tr 随林龄增加分别呈指数( P < 0.001)和线性升高( P = 0.004),林分 Es则逐渐降低但在 6 年生林分中突然大幅度升高;ET 中的 Tr 和 Es 占比分别逐年升高和降低,并在 5~6 年生林分中趋于稳定。3)KcbKc的季节变化特征在不同林龄林分中也存在明显差异,二者的季节变化不受地下水位影响,但其在 3~6 年生林分中受 LAI 的控制(P < 0.05),且 Kcb (R2 = 0.44~0.87)和Kc (R2 = 0.42~0.77)与 LAI 间均可建立较好的定量关系模型。此外,依据KcbKc的变化规律和划分的林木生长阶段,构建了毛白杨人工林的(基础)作物系数曲线和列表。结论: 毛白杨林分蒸散、蒸腾和蒸发的季节动态特征存在年际变化,ET0的波动是控制耗水季节动态的重要因子,但控制方式因耗水组分和林龄而异。毛白杨生长阶段可划分为 4 个时期,且每年 5—7月为林分水分管理的关键时期。构建的毛白杨人工林(基础)作物系数曲线、列表和预测模型,可用于林分耗水量的估算,帮助制定和优化灌溉制度。此外,研究结果不仅可为其他树种的高效水分管理提供借鉴,而且还能帮助深化认识人工林的水分关系。

关键词: 蒸腾, 蒸散, 土壤蒸发, 毛白杨;人工林, 水分管理

Abstract:

Objective: This study aims to clarify the long-term water consumption pattern of short-rotation Populus tomentosa plantation during the rotation period and construct a (basic) crop coefficient curve, so as to provide a basis for water-saving irrigation and management of P. tomentosa plantation. Method: We continuously monitored the transpiration (Tr), soil evaporation (Es), and stand evapotranspiration (ET) of 2–6-year-old P. tomentosa plantations under sufficient water supply. At the same time, we also collected data of meteorological factors, daily trunk growth (DGR), leaf area index (LAI), and groundwater level, and further calculated reference crop potential evapotranspiration (ET0), basic crop coefficient (Kcb), and crop coefficient (Kc). Result: 1)The main growth stages of the stand were different each year, but the growth rate was the fastest from May to July, during which the diameter growth of trees in this period accounted for 69%~88% of the total growth in the whole growth season, and the cumulative ET accounted for 47%~61% of the total ET in the whole growth season. According to the average DGR and LAI seasonal dynamics of stand during the rotation period, the growth stages of P. tomentosa plantation were divided into the early growth stage, development stage, middle growth stage, and late growth stage, and the corresponding periods were from early April to mid-April, from mid-April to mid-June, from mid-June to mid-August, and from mid-August to the end of October, respectively. 2)The results showed that there were significant seasonal changes in Tr, Es, and ET in the stand, but the change patterns were quite different in different stand ages. In addition, the seasonal variation of stand Tr was significantly positively correlated with ET0 only in 3–6-year-old stands (P<0.05), and there was positive correlation betweenEs and ET0 (P<0.05) only in 2-year-old and 6-year-old stands, but there was a positive correlation between ET and ET0 in all stand ages (P<0.05). The annual total ET and Tr increased exponentially (P<0.001) and linearly (P=0.004) with the increase of stand age, respectively, while the stand Es gradually decreased with the plant age, but suddenly increased significantly in the 6-year-old stand. The proportions of Tr and Es in ET increased and decreased yearly, respectively and tended to be stable in 5–6-year-old stands. 3)There were significant differences in seasonal variation characteristics of Kcb and Kc in different stand ages. The seasonal variation of Kcb and Kc was not affected by groundwater level, however, it was controlled by LAI in 3–6-year-old stands (P<0.05). Moreover, bothKcb (R2 = 0.44–0.87) and Kc (R2 = 0.42–0.77) could establish an excellent quantitative relationship model with LAI. In addition, we constructed the (basic) crop coefficient curve and list of P. tomentosa plantations according to the change patterns of Kcb and Kc and the divided tree growth stages. Conclusion: The seasonal dynamic characteristics of evapotranspiration, transpiration, and evaporation of P. tomentosa stands have interannual changes. The fluctuation of ET0 is an essential factor in controlling the seasonal dynamics of water consumption, but the control mode varies with water consumption components and stand ages. The growth stage of P. tomentosa can be divided into four periods, and the key period of water management in stands is from May to July every year. The established (basic) crop coefficient curve, list, and prediction model of P. tomentosa plantation can be used to estimate the stand water consumption and thereby formulate and optimize the irrigation schedule. In addition, the results can not only provide a reference for the efficient water management of other tree species, but also help deepen the understanding of the water relationship of the plantation.

Key words: transpiration, evapotranspiration, soil evaporation, Populus tomentosa; plantation, water management

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