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| 1 | Effects of biochar application on fluxes of three biogenic greenhouse gases: a meta- analysis显示文摘Biochar application to cropland has been recommended as a strategy to reduce increasing at-mospheric CO2 concentrations and mitigate climate change.However,the direction and magnitude of responses of greenhouse gas(GHG)fluxes to biochar application to cropland remain unclear.Our meta-analysis of 296 observations across 61 studies for the first time quantitatively estimated the effects of biochar amendment on fluxes of three GHGsCO2,N2O,and CH4.The results showed that biochar application led to a significant change in soil GHGs emissions:in general,19%for CO2,−16%for N2O(P<0.05),but no pronounced change in CH4 emissions;in paddy,−5%for CO2,−20%for N2O,but+19%for CH4(P<0.05);in upland,−18%for N2O,+12%for CO2,and high uncertainty for CH4.The responses of soil GHG flux-es to biochar application were regulated mainly by experiment length,biochar application rate,biochar properties,providing a new perspective for more comprehensive understanding on biochar.The bio-char derived from husk was recommended to apply to cropland with an application rate of 20-30 t·ha^(−1). | Xinzhang Song Genxing Pan Chao Zhang Lu Zhang Hailong Wang | 2016 | Ecosystem Health and Sustainability2016，2，2： | 8 |
| 2 | Towards a paradigm for open and free sharing of scientific data on global change science in China显示文摘Despite great progress in data sharing that has been made in China in recent decades,cultural,policy,and technological challenges have prevented Chinese researchers from maximizing the availability of their data to the global change science community.To achieve full and open exchange and sharing of scientific data,Chinese research funding agencies need to recognize that preserva-tion of,and access to,digital data are central to their mission,and must support these tasks accord-ingly.The Chinese government also needs to develop better mechanisms,incentives,and rewards,while scientists need to change their behavior and culture to recognize the need to maximize the usefulness of their data to society as well as to other researchers.The Chinese research communi-ty and individual researchers should think globally and act personally to promote a paradigm of open,free,and timely data sharing,and to increase the effectiveness of knowledge development. | Changhui Peng Xinzhang Song Hong Jiang Qiuan Zhu Huai Chen Jing MChen Peng Gong Chang Jie Wenhua Xiang Guirui Yu Xiaolu Zhou | 2016 | Ecosystem Health and Sustainability2016，2，5： | 4 |
| 3 | Management scheme influence and nitrogen addition effects on soil CO_(2),CH_(4),and N_(2)O fluxes in a Moso bamboo plantation显示文摘Background:It is still not clear whether the effects of N deposition on soil greenhouse gas(GHG)emissions are influenced by plantation management schemes.A field experiment was conducted to investigate the effects of conventional management(CM)versus intensive management(IM),in combination with simulated N deposition levels of control(ambient N deposition),30 kg N·ha^(−1)·year^(−1)(N30,ambient+30 kg N·ha^(−1)·year^(−1)),60 kg N·ha^(−1)·year^(−1)(N60,ambient+60 kg N·ha^(−1)·year^(−1)),or 90 kg N·ha^(−1)·year^(−1)(N90,ambient+90 kg N·ha^(−1)·year^(−1))on soil CO_(2),CH_(4),and N_(2)O fluxes.For this,24 plots were set up in a Moso bamboo(Phyllostachys edulis)plantation from January 2013 to December 2015.Gas samples were collected monthly from January 2015 to December 2015.Results:Compared with CM,IM significantly increased soil CO_(2) emissions and their temperature sensitivity(Q_(10))but had no significant effects on soil CH_(4) uptake or N_(2)O emissions.In the CM plots,N30 and N60 significantly increased soil CO_(2) emissions,while N60 and N90 significantly increased soil N_(2)O emissions.In the IM plots,N30 and N60 significantly increased soil CO_(2) and N_(2)O emissions,while N60 and N90 significantly decreased soil CH_(4) uptake.Overall,in both CM and IM plots,N30 and N60 significantly increased global warming potentials,whereas N90 did not significantly affect global warming potential.However,N addition significantly decreased the Q_(10) value of soil CO_(2) emissions under IM but not under CM.Soil microbial biomass carbon was significantly and positively correlated with soil CO_(2) and N_(2)O emissions but significantly and negatively correlated with soil CH_(4) uptake.Conclusion:Our results indicate that management scheme effects should be considered when assessing the effect of atmospheric N deposition on GHG emissions in bamboo plantations. | Junbo Zhang Quan Li Jianhua Lv Changhui Peng Zhikang Gu Lianghua Qi Xuzhong Song Xinzhang Song | 2021 | Forest Ecosystems2021，8，1： | 2 |
| 4 | Biochar amendments increase soil organic carbon storage and decrease global warming potentials of soil CH4 and N2O under N addition in a subtropical Moso bamboo plantation显示文摘Background: Nitrogen(N) deposition affects soil greenhouse gas(GHG) emissions, while biochar application reduces GHG emissions in agricultural soils. However, it remains unclear whether biochar amendment can alleviate the promoting effects of N input on GHG emissions in forest soils. Here, we quantify the separate and combined effects of biochar amendment(0, 20, and 40 t·ha) and N addition(0, 30, 60, and 90 kg N·ha·yr) on soil GHG fluxes in a long-term field experiment at a Moso bamboo(Phyllostachys edulis) plantation.Results: Low and moderate N inputs(≤60 kg N·ha·yr) significantly increase mean annual soil carbon dioxide(CO) and nitrous oxide(NO) emissions by 17.0%–25.4% and 29.8%–31.2%, respectively, while decreasing methane(CH) uptake by 12.4%–15.9%, leading to increases in the global warming potential(GWP) of soil CHand NO fluxes by 32.4%–44.0%. Moreover, N addition reduces soil organic carbon(C;SOC) storage by 0.2%–6.5%. Compared to the control treatment, biochar amendment increases mean annual soil CO2emissions, CHuptake, and SOC storage by 18.4%–25.4%, 7.6%–15.8%, and 7.1%–13.4%, respectively, while decreasing NO emissions by 17.6%–19.2%, leading to a GWP decrease of 18.4%–21.4%. Biochar amendments significantly enhance the promoting effects of N addition on soil COemissions, while substantially offsetting the promotion of N2O emissions, inhibition of CHuptake, and decreased SOC storage, resulting in a GWP decrease of 9.1%–30.3%.Additionally, soil COand CHfluxes are significantly and positively correlated with soil microbial biomass C(MBC) and pH. Meanwhile, NO emissions have a significant and positive correlation with soil MBC and a negative correlation with pH.Conclusions: Biochar amendment can increase SOC storage and offset the enhanced GWP mediated by elevated N deposition and is, thus, a potential strategy for increasing soil C sinks and decreasing GWPs of soil CHand NO under increasing atmospheric N deposition in Moso bamboo plantations. | Quan Li Kunkai Cui Jianhua Lv Junbo Zhang Changhui Peng Yongfu Li Zhikang Gu Xinzhang Song | 2022 | Forest Ecosystems2022，9，4： | 2 |
| 5 | Carbon sequestration by Chinese bamboo forests, and their ecological benefits: assessment of potential, problems, and future challenges显示文摘 | SONG Xinzhang ZHOU Guomo JIANG Hong | 2011 | Environmental Reviews2011，19，1： | 1 |
| 6 | Quantification of soil respiration in forest ecosystems across China显示文摘 | Xinzhang Song Changhui Peng Zhengyong Zhao Zhiting Zhang Baohua Guo Weifeng Wang Hong Jiang Qiuan Zhu | 2014 | Atmospheric Environment2014，，： | 1 |
| 7 | Carbon sequestration by Chinese bamboo forests and their eco- logical benefits: assessment of potential, problems, and future challenges 显示文摘 | SONG Xinzhang ZHOU Guomo JIANG Hong | 2011 | Environ Rev2011，19，1： | 1 |
| 8 | A Multivariate Process Capability Index显示文摘Process capability indices have been widely used in the manufacturing industry,providing numerical measures on process precision,process accuracy,and process performance.Capability measures for processes with a single characteristic have been investigated extensively.However,capability measures for processes with multiple characteristics are comparatively neglected. In this paper,inspired by the approach and model of process capability index investigated by K.S.Chen et al.(2003) and A.B. Yeh et al.(1998),a note model of multivariate process capability index based on non-conformity is presented.As for this index, the data of each single characteristic don’t require satisfying normal distribution,of which its computing is simple and particioners will not fell too theoretical.At last the application analysis is made. | WANG Shaoxi~(1.2) JIA Xinzhang~(1.2) JIAO Huifang~(1.3) BIAN Yingchao~6 SONG Ning~5 ZHAO Luyu~4 WEN Xin~4 1.School of Microelectronics,Xidian University,Xi’an 710071,China, 2.Key Lab of Ministry of Education for Wide Band-Gap Semiconductor Materials and Devices,Xi’an 710071,China 3.CEPREI,Guangzhou 510610,China 4.School of Electronic Engineering,Xidian University,Xi’an 71001,China 5.College of Life Science,Shandong Normal University,Shandong 250014,China 6.Department of Chemistry and Chemical Engineering,Hunan University,Changsha 410082,China | 2006 | 武汉理工大学学报2006，28，S2： | 0 |
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