Estimation of carbon fluxes is an important data basis for assessing forest ecosystem carbon cycling with the most widely used and effective method of measurement, the eddy covariance method, having advan-tages in accuracy but being limited in the scope of observation as it has a greater error when estimating net primary productivity (NPP) over large areas of a forest ecosystem. To study the application of wireless sensor networks for ecological monitoring and to estimate net primary production on a large scale, a wireless sensor network was developed in the vicinity of a flux observation tower in a bamboo stand of Anji, Zhejiang. The continuous meteorological data of radiation, temperature and humidity was collected from January to September in 2015. According to the simplified algorithm of model parameter, data collected from the wireless sensor net-work was used as the driving variable of the model, and NPP was evaluated. Results showed that (1) the mete-orological data collected by wireless sensor network were consistent with the observed data of the flux tower,the determination coefficient of the two light radiation is 0.77. (2) Compared with measured value, the NPP e-valuation of the bamboo stand based on wireless sensor network has a more consistent seasonal tendency with a 10.1% relative error. (3) With the increasement of the time scale of data synthesis, the error between the esti-mated value and the measured value is reduced. Among them, the synthetic accuracy of scale data of 10 days was highest, the RMSE and Std Dev were lowest and the value of RMSE and Std Dev were (0.048 7 mg·m-2·s-1) and (0.041 8 mg·m-2·s-1), respectively. Thus, as a new monitoring method, the wireless sensor network could be applied in a bamboo stand ecological system.%碳通量监测结果是评价森林生态系统碳收支的重要数据基础。涡度相关法作为目前最可靠的通量观测技术，在精度上具有优势，但观测范围局限于通量贡献区，无法实现大区域的森林生态系统净初级生产力（net primary productivity， NPP）监测。为了研究无线传感网络在生态监测中的应用，探寻一种大尺度净初级生产力估算的方法，在安吉毛竹Phyllostachys edulis林通量观测塔附近部署无线传感网，采集2015年1月至9月的太阳辐射、气温和湿度等气象数据。在对光能利用率（light use efficiency, LUE）模型的参数计算方法进行简化的基础上，将无线传感网数据作为光能利用率模型的驱动变量，实现基于无线传感网数据的毛竹林净初级生产力估算，得到以下结果：①利用无线传感网采集的气象数据与通量塔观测数据具有较高的一致性，两者光辐射的决定系数为0.77，相关性较高。②基于无线传感网数据估算的毛竹林NPP与实测值相比，在月尺度上两者的相对误差为10.1%，具有较高的精度以及一致的季节变化趋势。③随着数据合成时间尺度的增加，估算值与实测值之间的误差降低，其中以10 d尺度数据合成精度最高。无线传感网作为一种新型的监测手段，能很好地实现对毛竹林生态系统的监测。图7表1参21
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