Detection of warming response of tree rhizosphere by using NIR rhizotron

树根和凋落物是森林地下碳储量的主要组成部分。尽管无损监测地下碳平衡及其对气候变暖的响应对于估算当前/未来森林环境非常重要，但目前尚未开发出可用的技术。在本研究中，我利用近红外光谱成像技术开发了一种新的根系监测系统，用于对C及其相关根系性状进行无损监测。综上所述，通过VIS和NIR图像的组合利用，可以估算出总碳的增温响应以及活态和比根长度等相关性状。

Tree roots and litter are main component of below-ground C stock in the forest. Although the non-destructive monitoring of below-ground C balance and its response to the warming are important for estimation of current/future environment of our forests, the usable technique has not been developed yet. In this study, I developed the new rhizotron system for non-destructive monitoring of C and C-related root traits by application of NIR spectral imaging technique. I concluded that the warming responses of total C and the related traits such as live status and specific root length were able to be estimated by combination use of VIS and NIR image.