基于WSN的天目山森林碳通量估算

Estimation of Carbon Flux in Tianmu Mountain Forest Based on Wireless Sensor Network

碳通量估算对了解森林碳循环过程有着重要的意义。在研究森林碳循环时空变异特征时,鉴于精度较高的涡度相关技术并不能得到很好的效果,文章提出了利用无线传感器网络作为监测手段,以生态系统模型模拟森林环境的碳循环过程。对天目山森林净生态系统碳交换量(NEE)、生态系统呼吸量、净初级生产力(GPP)进行估算。经估算分析表明:在测量期间,天目山森林整体上呈碳汇,由于降水原因,仅3月22日为碳源的情况;天目山森林环境NEE在单日间呈U型变化,峰值出现在12-15时之间。夜间为正值,昼间为负值,正负转变时间点为凌晨与傍晚,NEE符号转变时间点呈明显的月变化特征。2个测量地点的NEE相差0.01~1.23μmol/(m^2·s);天目山森林具有良好的固碳能力,其GPP最大值超过了25μmol/(m^2·s),由于测量的时间、地点不同,GPP值也存在较明显差异。

Carbon flux estimation is important for understanding the process of forest carbon cycling.In the study of spatiotemporal variability of forest carbon cycle,since high precision vorticity correlation technology can not obtain good results,it is proposed to use wireless sensor network as a monitoring method to simulate the carbon cycle process of forest environment with ecosystem model.The carbon exchange capacity(NEE),ecosystem respiration(Reco),and net primary productivity(GPP)of the net ecosystem of Tianmu Mountain were estimated.The estimation analysis shows that during the measurement period,the forest in Tianmu Mountain is carbon sink as a whole.Due to precipitation,only the carbon source is on March 22;the NEE in the forest environment of Tianmu Mountain is U-shaped in a single day,and the peak appears during 12:00 and 15:00.The nighttime is positive,while the daytime is negative,the positive and negative transition time points are early morning and evening,and the NEE symbol transition time point shows obvious monthly variation characteristics.The NEE of the two measurement sites differs by 0.01 to 1.23μmol/(m^2·s).The mountain forest has good carbon sequestration capacity,and its GPP maximum exceeds 25μmol/(m^2·s),due to different measurement time and location,there are also significant differences in GPP values.