The National Key Forestry Ecology Project has changed the zonal pattern of forest litter production in China
The National Key Forestry Ecology Project has changed the zonal pattern of forest litter production in China
复制标题
国家林业生态重点工程改变了我国森林凋落物生产的地带性格局
DOI:
10.1016/j.foreco.2017.05.019
复制
发表时间:
2017-09
影响因子:
3.7
通讯作者:
Ni XY
中科院分区:
文献类型:
--
作者:
You CM;Wu FZ;Yang WQ;Tan B;Yue K;Ni XY
Litterfall transfers organic matter and nutrients from vegetation to soil and serves a major role in the global carbon (C) cycle. To understand the role of China’s Key Ecology Project in the global C cycle, the zonality of national-scale forest litter production was investigated using a meta-analysis. The results showed that the mean annual litterfall was 4.947 ± 0.087 Mg ha−1yr−1between 1980 and 2016. The mean annual litterfall in primary forests was similar to that in secondary forests; both were significantly greater than that in planted forests. The total and leaf litter production significantly decreased with increasing latitude and altitude and showed a quadratic relationship with longitude. However, a comparison of the regression relationships of litter production of different forest stand origins with latitude, longitude and altitude revealed relatively larger adjusted R2values (R2adj) for secondary forests (R2adj= 0.488, 0.307, 0.100, allp< 0.01) and primary forests (R2adj= 0.459, 0.223, 0.142, allp< 0.01), followed by planted forests (R2adj= 0.037, 0.017, 0.016, allp< 0.01). The coefficients and intercepts of the models of natural forests were significantly larger than those of planted forests (allp< 0.01, with the exception of two values of 0.081 and one value of 0.392). Based on the regression models, significant differences in the relationship between litter production and geographical factors were found between natural forests and all forests. These findings reveal that The National Key Forestry Ecology Project has changed the zonal pattern of forest litter production in China and imply that estimates of mean annual litter production and quantitative analysis of spatial distribution patterns in different forest stand origins are particularly important for understanding the global C cycle and managing forest resources in China.
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影响因子:
3.4
作者:
M. Scherer‐Lorenzen;J. L. Bonilla;C. Potvin
通讯作者:
M. Scherer‐Lorenzen;J. L. Bonilla;C. Potvin
影响因子:
15.8
作者:
Moher D;Liberati A;Tetzlaff J;Altman DG;PRISMA Group
通讯作者:
PRISMA Group
DOI:
10.1136/bmj.b2535
发表时间:
2009-07-21
期刊:
BMJ (Clinical research ed.)
影响因子:
--
作者:
Moher D;Liberati A;Tetzlaff J;Altman DG;PRISMA Group
通讯作者:
PRISMA Group
影响因子:
2.8
作者:
Yusheng Yang;Jianfen Guo;Guangshui Chen;Jinsheng Xie;R. Gao;Zhen Li;Zhao Jin
通讯作者:
Yusheng Yang;Jianfen Guo;Guangshui Chen;Jinsheng Xie;R. Gao;Zhen Li;Zhao Jin
影响因子:
3.7
作者:
E. Paudel;G. Dossa;Jian-chu Xu;R. Harrison
通讯作者:
E. Paudel;G. Dossa;Jian-chu Xu;R. Harrison