Knowledge Management System Of Institute Of Botany,CAS
Mapping forest type and age in China's plantations | |
Yu, Zhen1; Zhao, Hongrun; Liu, Shirong1; Zhou, Guoyi2; Fang, Jingyun3; Yu, Guirui4; Tang, Xuli2; Wang, Wantong5; Yan, Junhua2; Wang, Gengxu6; Ma, Keping3; Li, Shenggong4; Du, Sheng7; Han, Shijie8; Ma, Youxin9; Zhang, Deqiang2; Liu, Juxiu2; Liu, Shizhong2; Chu, Guowei2; Zhang, Qianmei2; Li, Yuelin2 | |
2020 | |
发表期刊 | SCIENCE OF THE TOTAL ENVIRONMENT |
ISSN | 0048-9697 |
卷号 | 744 |
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. |
关键词 | Planted forests Digitalized maps Forest age Human management Remote sensing |
学科领域 | Environmental Sciences |
DOI | 10.1016/j.scitotenv.2020.140790 |
收录类别 | SCI |
语种 | 英语 |
WOS关键词 | CARBON SEQUESTRATION ; TREE HEIGHT ; STAND AGE ; GROWTH ; CLASSIFICATION ; ECOSYSTEMS |
WOS研究方向 | Environmental Sciences & Ecology |
WOS记录号 | WOS:000573550400001 |
出版者 | ELSEVIER |
文献子类 | Article |
出版地 | AMSTERDAM |
EISSN | 1879-1026 |
资助机构 | Ministry of Science and Technology of the People's Republic of ChinaMinistry of Science and Technology, China [2018YFC0507305, 2018YFC0507301] ; Startup Foundation for Introducing Talent of NUIST |
作者邮箱 | zyu@nuist.edu.cn |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ibcas.ac.cn/handle/2S10CLM1/21572 |
专题 | 植被与环境变化国家重点实验室 |
作者单位 | 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 |
推荐引用方式 GB/T 7714 | Yu, Zhen,Zhao, Hongrun,Liu, Shirong,et al. Mapping forest type and age in China's plantations[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2020,744. |
APA | Yu, Zhen.,Zhao, Hongrun.,Liu, Shirong.,Zhou, Guoyi.,Fang, Jingyun.,...&Li, Yuelin.(2020).Mapping forest type and age in China's plantations.SCIENCE OF THE TOTAL ENVIRONMENT,744. |
MLA | Yu, Zhen,et al."Mapping forest type and age in China's plantations".SCIENCE OF THE TOTAL ENVIRONMENT 744(2020). |
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