Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.foreco.2018.12.054 |
Large-scale patterns in forest growth rates are mainly driven by climatic variables and stand characteristics | |
Zhang, Hao1,2,3; Wang, Kelin1,2; Zeng, Zhaoxia1,2; Du, Hu1,2; Zou, Zhigang1,2; Xu, Yanfang4; Zeng, Fuping1,2 | |
2019-03-01 | |
发表期刊 | FOREST ECOLOGY AND MANAGEMENT |
ISSN | 0378-1127 |
EISSN | 1872-7042 |
出版年 | 2019 |
卷号 | 435页码:120-127 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; USA |
英文摘要 | Comparing the growth rate of natural forest and plantation forest may be useful to better understand rates of carbon sequestration and carbon turnover. However, the large-scale patterns of biomass growth rates in China's forests are still not well defined. We analyzed the growth rates of forest leaves, branches, stems, and roots across forest communities in China by using data collection, collation, and systematic analysis of published research and our unpublished data. The biomass growth rates in all forests exhibited negative latitudinal trends and negative altitudinal trends, with significant influence from climatic variables and stand characteristics. Stand characteristics explained more variation in growth rates of forest biomass than did climatic variables, and growth rates of forest leaves, branches, stems, and roots varied in relation to climate, stand characteristics, and forest origin. The cross-validated results of stepwise multiple regression (SMR) models and neural network models (NNM) indicated that the prediction accuracy of growth rate of forest biomass by NNM was better than that of the SMR models. Our results improve understanding of the environmental factors affecting Chinese forest growth and inform efforts to model dynamics of carbon accumulation in China's forests. |
英文关键词 | Climate change Forest biomass Stand age Growth rate Spatial pattern Carbon sequestration |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000457950000014 |
WOS关键词 | NET PRIMARY PRODUCTION ; MASS-DENSITY RELATIONSHIP ; AGE-RELATED DECLINE ; PRIMARY PRODUCTIVITY ; CHINA FORESTS ; ABSCISIC-ACID ; TREE GROWTH ; BIOMASS ; SENSITIVITY ; DYNAMICS |
WOS类目 | Forestry |
WOS研究方向 | Forestry |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/23099 |
专题 | 气候变化 |
作者单位 | 1.Chinese Acad Sci, Inst Subtrop Agr, Key Lab Agroecol Proc Subtrop Reg, Changsha 410125, Hunan, Peoples R China; 2.Chinese Acad Sci, Huanjiang Observat & Res Stn Karst Ecosyst, Huanjiang 547100, Peoples R China; 3.Univ Nebraska, Coll Agr Sci & Nat Resources, Lincoln, NE 68583 USA; 4.Xiangtan Real Estate Registrat Ctr, Xiangtan 411100, Hunan, Peoples R China |
推荐引用方式 GB/T 7714 | Zhang, Hao,Wang, Kelin,Zeng, Zhaoxia,et al. Large-scale patterns in forest growth rates are mainly driven by climatic variables and stand characteristics[J]. FOREST ECOLOGY AND MANAGEMENT,2019,435:120-127. |
APA | Zhang, Hao.,Wang, Kelin.,Zeng, Zhaoxia.,Du, Hu.,Zou, Zhigang.,...&Zeng, Fuping.(2019).Large-scale patterns in forest growth rates are mainly driven by climatic variables and stand characteristics.FOREST ECOLOGY AND MANAGEMENT,435,120-127. |
MLA | Zhang, Hao,et al."Large-scale patterns in forest growth rates are mainly driven by climatic variables and stand characteristics".FOREST ECOLOGY AND MANAGEMENT 435(2019):120-127. |
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