Abstract:
Stem water content serves as a pivotal parameter that reflects the plant vitality and maintains their internal water balance. Given the insufficient comprehension regarding the stem water content characteristics and its influencing factors during different stages of the overwintering period, the study focused on Acer truncatum Bunge and developed an Internet of Things (IoT)-based ecological information monitoring system. The system incorporated a proprietary stem water content sensor, allowing non-invasive, in-situ and real time acquisition of stem water content while monitoring diverse environmental parameters. We conducted a detailed elucidation of stem water content variation characteristics and their responses to diverse environmental factors. The results showed: (1) During the overwintering period, stem water content exhibited diurnal variations characterized by \" daytime ascent and nighttime descent\" across the three stages, exhibiting differences in the moment when the stem water content reaches extremal values and daily fluctuations ranges. Stem water content exhibited minimal fluctuations during deciduous and bud-breaking stages but experienced significant freezing-thawing alternations during the dormant stage, leading to an increased daily fluctuation range. (2) The Pearson correlation coefficients between environmental parameters and stem water content varied dynamically across stages. Path analysis revealed that during the deciduous stage, stem temperature and saturation vapor pressure deficit were dominant factors influencing stem water content; during dormant stage, air temperature and saturation vapor pressure deficit directly impacted stem water content; during the bud-breaking stage, the primary parameters affecting stem water content were saturation vapor pressure deficit and stem temperature. The study provides valuable insights into unveiling the water transport patterns within tree stems tissue and their environmental adaptation mechanisms during the overwintering period, aiding in the scientific development of winter management strategies to protect trees from severe cold and freezing damage, while fostering healthy growth in the subsequent year.
摘要:
茎含水量是反映植物活力并维持其内部水平衡的关键参数。鉴于对越冬期不同阶段茎部含水量特征及其影响因素的认识不足,这项研究的重点是宏碁truncumBunge,并开发了基于物联网(IoT)的生态信息监测系统。该系统包含一个专有的茎含水量传感器,允许非侵入性,在监测各种环境参数的同时,原位和实时采集茎含水量。我们详细阐明了茎含水量的变化特征及其对各种环境因素的响应。结果表明:(1)越冬期间,茎含水量在三个阶段表现出“白天上升和夜间下降”的昼夜变化,在茎含水量达到极值和每日波动范围的时刻表现出差异。茎水含量在落叶和芽破裂阶段表现出最小的波动,但在休眠阶段经历了显着的冻融交替,导致每日波动范围增加。(2)环境参数与茎含水量之间的皮尔逊相关系数随阶段动态变化。路径分析显示,在落叶阶段,茎温度和饱和蒸汽压亏缺是影响茎含水量的主要因素;在休眠期,气温和饱和蒸汽压不足直接影响茎含水量;在破芽阶段,影响茎含水量的主要参数是饱和蒸汽压亏缺和茎温度。该研究为揭示越冬期间树茎组织内的水运输模式及其环境适应机制提供了有价值的见解,协助科学制定冬季管理策略,保护树木免受严寒和冻害,同时促进下一年的健康成长。