Mapping forest type and age in China's plantations

被引:42
作者
Yu, Zhen [1 ,2 ]
Zhao, Hongrun [1 ]
Liu, Shirong [2 ]
Zhou, Guoyi [1 ,3 ]
Fang, Jingyun [4 ]
Yu, Guirui [5 ]
Tang, Xuli [3 ]
Wang, Wantong [6 ]
Yan, Junhua [3 ]
Wang, Gengxu [7 ]
Ma, Keping [4 ]
Li, Shenggong [5 ]
Du, Sheng [8 ]
Han, Shijie [9 ]
Ma, Youxin [10 ]
Zhang, Deqiang [3 ]
Liu, Juxiu [3 ]
Liu, Shizhong [3 ]
Chu, Guowei [3 ]
Zhang, Qianmei [3 ]
Li, Yuelin [3 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Inst Ecol, Jiangsu Key Lab Agr Meteorol, Nanjing 210044, Jiangsu, Peoples R China
[2] Chinese Acad Forestry, Inst Forest Ecol Environm & Protect, Key Lab Forest Ecol & Environm, Chinas Natl Forestry & Grassland Adm, 2 Dongxiaofu, Beijing 100091, Peoples R China
[3] Chinese Acad Sci, South China Inst Bot, Guangzhou 510650, Peoples R China
[4] Chinese Acad Sci, Inst Bot, Beijing 100093, Peoples R China
[5] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
[6] Henan Normal Univ, Coll Tourism, Xinxiang 453007, Henan, Peoples R China
[7] Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China
[8] Chinese Acad Sci, Inst Soil & Water Conservat, Yangling 712100, Shaanxi, Peoples R China
[9] Chinese Acad Sci, Inst Appl Ecol, Shenyang 110016, Peoples R China
[10] Chinese Acad Sci, Xishuangbanna Trop Bot Garden, Mengla 666303, Peoples R China
关键词
Planted forests; Digitalized maps; Forest age; Human management; Remote sensing; CARBON SEQUESTRATION; TREE HEIGHT; STAND AGE; GROWTH; CLASSIFICATION; ECOSYSTEMS;
D O I
10.1016/j.scitotenv.2020.140790
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
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. (C) 2020 Elsevier B.V. All rights reserved.
引用
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页数:9
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