森林资源清查
森林经营
国家森林
碳储量
中国
地理
库存(枪支)
森林动态
森林生态学
比例(比率)
年龄结构
随机森林
林业
自然地理学
环境科学
生态学
地图学
人口学
生态系统
计算机科学
生物
气候变化
考古
社会学
机器学习
人口
作者
Zhen Yu,Hongrun Zhao,Shirong Liu,Guoyi Zhou,Jingyun Fang,Guirui Yu,Xuli Tang,Wantong Wang,Junhua Yan,Gengxu Wang,Keping Ma,Shenggong Li,Sheng Du,Shijie Han,Youxin Ma,Deqiang Zhang,Juxiu Liu,Shizhong Liu,Guowei Chu,Qianmei Zhang,Yuelin Li
标识
DOI:10.1016/j.scitotenv.2020.140790
摘要
Forest age serves as an essential factor in determining the accuracy of historical and future carbon (C) uptake quantifications, which is especially critical for China since the forest C stock dynamics are sensitive to the fast-growing, young-age plantations. However, a spatially explicit forest age maps with specific focus on forest plantations is not available yet. In this study, we developed a 1-km resolution age and type maps of forest plantations, and quantified their uncertainties spatially using field-measured data, national forest inventory data, digitalized forest maps, and remote sensing-based forest height maps. Simulation results showed forest plantations were 16.5 years old at national scale in 2005, which is close to the age of 16.6 years old derived from the 7th national inventory data using medium age in each forest plantation group with weighted area. Interestingly, we found that human management played an important role in forest age map reconstruction, which has not yet been considered in former studies. We also suggest that forest age and type maps should be used consistently in C stock simulations to avoid biases from mismatch information. Large uncertainty found in this study suggests further endeavors are required for improving the forest age and type maps.
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