Spatial Response Of Canopy Parameters To Carbon Storage Of Moso Bamboo Forest

Bamboo canopy is the most direct and active part with the external environment. As the maincarrier of vegetation canopy photosynthesis, bamboo canopy plays an important role in transfer ofmaterial energy of the entire forest ecosystem, solar radiation transmission, maintaining ofenvironmental factors, and the spatial distribution of physiological parameters. Forest canopy hasbecome the hot topic of current climate changing and biodiversity. As two important parameters of thevegetation canopy, Canopy closure and leaf area index play an important role in the management ofbamboo forest, study of ecosystem analysis and bamboo carbon storage. The response of carbon storageto canopy parameters is important in estimating carbon stocks and the study of spatial distribution onbamboo.The study is conducted in Anji county, Zhejiang province, based on remote sensing image and55ground plots data of2008, GIS and GS+were used to estimate canopy cover and leaf area index, whilethe correlation between carbon storage and canopy parameters of Moso bamboo were analyzed, thespatial response of carbon storage to canopy parameters and the influence of canopy parameters onproductivity in their rapid growth were studied. This study includes the following aspects:1.The geostatistical methods and Cokriging were used to estimate Leaf Area Index (LAI) andcanopy closure (CC), the spatial distribution of canopy parameters of Moso bamboo were be analyzedon the basis of previous studies on the spatial distribution of Moso bamboo and it’s carbon storage,while the carbon storage and canopy statistic parameters of each township in Anji County werecharacterized.2.The semi-variogram of carbon storage, canopy cover and leaf area index were calculated byusing theoretical variogram, while the spatial heterogeneity, correlation analysis and comparison of thefollowing three parameters were analyzed by selecting the best model.3.The response of carbon storage to canopy parameters of moso bamboo forest and the relationshipmodels were built from the township, county and rapid growth process of bamboo on three differentlevels respectively.4.The relationship between spectral reflectance and carbon storage of Moso bamboo was analyzed,while the response of their spatial distribution was explained by establishing multiple regression models.The study mainly gets the following conclusion:1.The coefficient of determination between predicted and measured values of LAI and CC is0.6351and0.4285by cokriging,respectively. And cokriging can improve the prediction accuracies ofLAI and CC significantly. CC decreases from southwest to northeast gradually,the central and southernregions of several towns have highest value and the northern towns have lower value, LAI also has thesame distribution in the study area.2.By the selection of each fitting results, the Carbon stock in study area has similar spatialheterogeneity with LAI and CC, and the ranges of LAI and CC are significantly correlated with that ofcarbon stock. From the point view of structure ratio, the structural feature dominates the carbon stock,LAI and CC of most town, among which the random factor dominates guishan county, hanggai townand zhangwu town(80%), which is associated with the increasing intensity of bamboo managementplanning in recent years.3.In the respect of the response that carbon stock to canopy parameters:(1)The response on timescale shows that, there are significant positive correlations between LAI, CC and GPP during the rapidgrowth process of moso bamboo shoots, with the correlation coefficients of0.334and0.464,respectively;(2) From the view of the response on spatial pattern scale, the moso bamboo carbon stockhas similar spatial distribution pattern with LAI and CC, and the carbon stock of each town has goodcorrelation with LAI and CC, with the determination coefficients of0.7328and0.6396, respectively;(3)In the respect of response on spatial variability, the spatial ratio(spatial autocorrelation) of LAI and CCis the major factor influencing moso bamboo carbon stock, which are significantly correlated withcarbon stock, with the correlation coefficients of0.94and0.77, respectively; and there are correlationbetween the random error of carbon stock and LAI、CC to some extent.4.Research shows that there is good correlation between carbon storage and band1, band2, band3,band4, band7, savi, iivi, kt3, and the regression model was established by those factors. The model forthe test value of RMSE, mean absolute error and mean relative error were4.129,3.213and18.51%,respectively.And the correlation coefficient of this model was0.704with high precision.