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| 1 | Meta-analysis and its application in global change research显示文摘Meta-analysis is a quantitative synthetic research method that statistically integrates results from in- dividual studies to find common trends and differences. With increasing concern over global change, meta-analysis has been rapidly adopted in global change research. Here, we introduce the methodolo- gies, advantages and disadvantages of meta-analysis, and review its application in global climate change research, including the responses of ecosystems to global warming and rising CO2 and O3 concentrations, the effects of land use and management on climate change and the effects of distur- bances on biogeochemistry cycles of ecosystem. Despite limitation and potential misapplication, meta-analysis has been demonstrated to be a much better tool than traditional narrative review in synthesizing results from multiple studies. Several methodological developments for research synthe- sis have not yet been widely used in global climate change researches such as cumulative meta-analysis and sensitivity analysis. It is necessary to update the results of meta-analysis on a given topic at regular intervals by including newly published studies. Emphasis should be put on multi-factor interaction and long-term experiments. There is great potential to apply meta-analysis to global climate change research in China because research and observation networks have been established (e.g. ChinaFlux and CERN), which create the need for combining these data and results to provide support for governments’ decision making on climate change. It is expected that meta-analysis will be widely adopted in future climate change research. | LEI XiangDong PENG ChangHui TIAN DaLun SUN JianFeng | 2007 | Chinese Science Bulletin2007，52，3： | 13 |
| 2 | Heavy metal accumulation by panicled goldenrain tree(Koelreuteria paniculata) and common elaeocarpus(Elaeocarpus decipens) in abandoned mine soils in southern China显示文摘Phytoremediation can be used as a sustainable technology for mine spoil remediation to remove heavy metals.This study investigated the concentration of 7 heavy metal contamination in soil and plant samples at an abandoned mine site.We found that,after vegetation remediation at the abandoned mine site,the reduction rates for 7 heavy metals were in the range of 4.2%-86%,where reduction rates over 50% were achieved for four heavy metals(Zn,Mn,Cd,Ni).Transfer coeffcients of the panicled goldenrain tree(Koelreuteria paniculata Laxm) and the common elaeocarpus(Elaeocarpus decipens) for Zn,Mn,Ni,and Co were more than 1.Enrichment coeffcients of both trees for Mn were higher than 1.Our results suggest that the panicled goldenrain tree and the common elaeocarpus tree may act as accumulators in remediation.Moreover,the woody vegetation remediation in abandoned mining areas play an important role in improving scenery besides removing heavy metal from contaminated soil. | TIAN Dalun ZHU Fan YAN Wende Fang Xi XIANG Wenhua DENG Xiangwen WANG Guangjun PENG Changhui | 2009 | Journal of Environmental Sciences2009，21，3： | 11 |
| 3 | Application of artificial neural networks in global climate change and ecological research:An overview显示文摘Fields that employ artificial neural networks(ANNs)have developed and expanded continuously in recent years with the ongoing development of computer technology and artificial intelligence.ANN has been adopted widely and put into practice by research-ers in light of increasing concerns over ecological issues such as global warming,frequent El Nio-Southern Oscillation(ENSO)events,and atmospheric circulation anomalies.Limitations exist and there is a potential risk for misuse in that ANN model pa-rameters require typically higher overall sensitivity,and the chosen network structure is generally more dependent upon individ-ual experience.ANNs,however,are relatively accurate when used for short-term predictions;despite global climate change re-search favoring the effects of interactions as the basis of study and the preference for long-term experimental research.ANNs remain a better choice than many traditional methods when dealing with nonlinear problems,and possesses great potential for the study of global climate change and ecological issues.ANNs can resolve problems that other methods cannot.This is especially true for situations in which measurements are difficult to conduct or when only incomplete data are available.It is anticipated that ANNs will be widely adopted and then further developed for global climate change and ecological research. | LIU ZeLin PENG ChangHui XIANG WenHua TIAN DaLun DENG XiangWen ZHAO MeiFang | 2010 | Chinese Science Bulletin2010，55，34： | 9 |
| 4 | Re-estimating the changes and ranges of forest biomass carbon in China during the past 40 years显示文摘Background: In recent decades the future of global forests has been a matter of increasing concern, particularly in relation to the threat of forest ecosystem responses under potential climate change. To the future predictions of these responses, the current forest biomass carbon storage(FCS) should first be clarified as much as possible,especially at national scales. However, few studies have introduced how to verify an FCS estimate by delimiting the reasonable ranges. This paper addresses an estimation of national FCS and its verification using two-step process to narrow the uncertainty. Our study focuses on a methodology for reducing the uncertainty resulted by converting from growing stock volume to above-and below-ground biomass(AB biomass), so as to eliminate the significant bias in national scale estimations.Methods: We recommend splitting the estimation into two parts, one part for stem and the other part for AB biomass to preclude possible significant bias. Our method estimates the stem biomass from volume and wood density(WD), and converts the AB biomass from stem biomass by using allometric relationships.Results: Based on the presented two-step process, the estimation of China’s FCS is performed as an example to explicate how to infer the ranges of national FCS. The experimental results demonstrate a national FCS estimation within the reasonable ranges(relative errors: + 4.46% and-4.44%), e.g., 5.6–6.1 PgC for China’s forest ecosystem at the beginning of the 2010 s. These ranges are less than 0.52 PgC for confirming each FCS estimate of different periods during the last 40 years. In addition, our results suggest the upper-limits by specifying a highly impractical value of WD(0.7 t·m-3) on the national scale. As a control reference, this value decides what estimate is impossible to achieve for the FCS estimates.Conclusions: Presented methodological analysis highlights the possibility to determine a range that the true value could be located in. The two-step process will help to verify national FCS and also to reduce uncertainty in related studies. While the true value of national FCS is immeasurable, our work should motivate future studies that explore new estimations to approach the true value by narrowing the uncertainty in FCS estimations on national and global scales. | Xiaolu Zhou Xiangdong Lei Caixia Liu Huabing Huang Carl Zhou Changhui Peng | 2019 | Forest Ecosystems2019，6，4： | 4 |
| 5 | 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 |
| 6 | Integrating a model with remote sensing observations by a data assimilation approach to improve the model simulation accuracy of carbon flux and evapotranspiration at two flux sites显示文摘Model simulation and in situ observations are often used to research water and carbon cycles in terrestrial ecosystems, but each of these methods has its own advantages and limitations. Combining these two methods could improve the accuracy of quantifying the dynamics of the water and carbon fluxes of an ecosystem. Data assimilation is an effective means of integrating modeling with in situ observation. In this study, the ensemble Kalman filter(En KF) and the unscented Kalman filter(UKF) algorithms were used to assimilate remotely sensed leaf area index(LAI) data with the Biome-BGC model to simulate water and carbon fluxes at the Harvard Forest Environmental Monitoring Site(EMS) and the Dinghushan site. After MODIS LAI data from 2000–2004 were assimilated into the improved Biome-BGC model using the En KF algorithm at the Harvard Forest site, the R2 between the simulated and observed results for NEE and evapotranspiration increased by 7.8% and 4.7%, respectively. In addition, the sum of the absolute error(SAE) and the root mean square error(RMSE) of NEE decreased by an average of 21.9% and 26.3%, and the SAE and RMSE of evapotranspiration decreased by 24.5% and 25.5%, respectively. MODIS LAI data of 2003 were assimilated into the Biome-BGC model for the Dinghushan site, and the R2 values between the simulated and observed results for NEE and evapotranspiration were increased by 6.7% and 17.3%, respectively. In addition, the SAE values of NEE and ET were decreased by 11.3% and 30.7%, respectively, and the RMSE values of NEE and ET decreased by 10.1% and 30.9%, respectively. These results demonstrate that the accuracy of carbon and water flux simulations can be effectively improved when remotely sensed LAI data are properly integrated with ecosystem models through a data assimilation approach. | ZHANG TingLong SUN Rui PENG ChangHui ZHOU GuoYi WANG ChunLing ZHU QiuAn YANG YanZheng | 2016 | Science China Earth Sciences2016，59，2： | 3 |
| 7 | Integrating global socio-economic influences into a regional land use change model for China显示文摘与快速的经济开发和都市化,在中国的陆地使用在最近的年里经历了巨大的变化;并且这以后将可能继续。在中国的陆地使用问题是迫切的并且需要推进学习。快速的陆地使用变化和经济开发为综合陆地使用变化研究使中国成为一个理想的区域,特别地多重因素的考试和在全球经济集成的上下文的全球地区性的相互作用。这份报纸论述一条综合建模途径在使用在地区性的规模改变的土地上检验全球社会经济的过程的影响。我们由联合一个简单全球社会经济的模型(GLOBFOOD ) 和地区性的空间分配模型(线索) 开发一个综合模型系统。模型系统用一个应用程序被说明在中国打使用。为一个给定的气候变化,人口生长,和各种各样的社会经济的状况,一个全球社会经济的模型在陆地使用上模仿全球市场和经济的影响,并且确定不同土地的变化使用类型。空间分发模型决定的陆地使用在由采用一个加权的适用性索引的每个空间格子很适当的陆地使用的类型,源于生态系统国家和地点条件的专家知识。一系列模型模拟将被进行并且分析了表明综合模型的能力与使用在中国改变的地区性的土地连接全球社会经济的因素。结果在中国允许陆地使用和风景的未来动力学的探索[出版摘要] | Xia XU Qiong GAO Changhui PENG Xuefeng CUI Yinghui LIU Li JIANG | 2014 | Frontiers of Earth Science2014，8，1： | 2 |
| 8 | 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 |
| 9 | 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 |
| 10 | Strong controls of daily minimum temperature on the autumn photosynthetic phenology of subtropical vegetation in China显示文摘Background:Vegetation phenology research has largely focused on temperate deciduous forests,thus limiting our understanding of the response of evergreen vegetation to climate change in tropical and subtropical regions.Results:Using satellite solar-induced chlorophyll fluorescence(SIF)and MODIS enhanced vegetation index(EVI)data,we applied two methods to evaluate temporal and spatial patterns of the end of the growing season(EGS)in subtropical vegetation in China,and analyze the dependence of EGS on preseason maximum and minimum temperatures as well as cumulative precipitation.Our results indicated that the averaged EGS derived from the SIF and EVI based on the two methods(dynamic threshold method and derivative method)was later than that derived from gross primary productivity(GPP)based on the eddy covariance technique,and the time-lag for EGSsif and EGSevi was approximately 2 weeks and 4 weeks,respectively.We found that EGS was positively correlated with preseason minimum temperature and cumulative precipitation(accounting for more than 73%and 62%of the study areas,respectively),but negatively correlated with preseason maximum temperature(accounting for more than 59%of the study areas).In addition,EGS was more sensitive to the changes in the preseason minimum temperature than to other climatic factors,and an increase in the preseason minimum temperature significantly delayed the EGS in evergreen forests,shrub and grassland.Conclusions:Our results indicated that the SIF outperformed traditional vegetation indices in capturing the autumn photosynthetic phenology of evergreen forest in the subtropical region of China.We found that minimum temperature plays a significant role in determining autumn photosynthetic phenology in the study region.These findings contribute to improving our understanding of the response of the EGS to climate change in subtropical vegetation of China,and provide a new perspective for accurately evaluating the role played by evergreen vegetation in the regional carbon budget. | Peixin Ren Zelin Liu Xiaolu Zhou Changhui Peng Jingfeng Xiao Songhan Wang Xing Li Peng Li | 2021 | Forest Ecosystems2021，8，3： | 2 |
| 11 | Soil respiration dynamics in Cinnamomum camphora forest and a nearby Liquidambar formosana forest in Subtropical China显示文摘Climate change can significantly affect carbon cycling of forest ecosystems.The diurnal and seasonal dynamics of soil respiration (Rs) in Cinnamomum camphora and Liquidambar formosana forests were investigated by using infrared gas exchange analyzer of Li-Cor 6400-09 each month in 2006.Soil temperature and moisture were also measured.Diurnal variations in Rs varied with daily soil temperature in the two forests.Across the growing season,soil respiration peaked on July 28 due to higher soil temperature and moisture conditions.Seasonal Rs variations were predominantly influenced by soil temperature.Seasonal soil respirations in C.camphora and L.formosana forests were strongly related to soil temperature (x) at 5-cm depth (Rs=0.1598e 0.1377x (R 2=0.9289,P=0.001) and Rs=0.2177e 0.0962x (R 2=0.927,P=0.000)),while annual mean Rs rate was 2.614 and 1.397 μmol m-2 s-1 and Q 10 values were 3.96 and 2.62 for the two forests,respectively.However,Rs was not influenced by seasonal changes in soil moisture (w) in the two forests in 2006.We developed two equations (Rs=-0.020w 2 +0.497w+0.562 (R 2=0.109,P>0.05),Rs=-0.001w 2 +0.072w +0.731(R 2=0.053,P>0.05)) to describe the relationship between Rs and soil moisture.A positive relationship between Rs and soil moisture were observed when soil moisture was below 12.43% and 18.00%,but when soil moisture exceeded threshold values of 12.43% and 18.00%,soil moisture became the restraint factor for Rs.Long-term observations of soil respiration and moisture are required to understand the temporal dynamics of soil respiration. | TIAN DaLun WANG GuangJun YAN WenDe XIANG WenHua PENG ChangHui | 2010 | Chinese Science Bulletin2010，55，8： | 2 |
| 12 | DEAP1 encodes a fasciclin-like arabinogalactan protein required for male fertility in rice显示文摘Arabinogalactan proteins(AGPs)are widely distributed in plant cells.Fasciclin-like AGPs(FLAs)belong to a subclass of AGPs that play important roles in plant growth and development.However,little is known about the biological functions of rice FLA.Herein,we report the identification of a male-sterile mutant of DEFECTIVE EXINE AND APERTURE PATTERNING1(DEAP1)in rice.The deap1 mutant anthers produced aberrant pollen grains with defective exine formation and a flattened aperture annulus and exhibited slightly delayed tapetum degradation.DEAP1 encodes a plasma membrane-associated member of groupⅢplant FLAs and is specifically and temporally expressed in reproductive cells and the tapetum layer during male development.Gene expression studies revealed reduced transcript accumulation of genes related to exine formation,aperture patterning,and tapetum development in deap1 mutants.Moreover,DEAP1 may interact with two rice D6 PROTEIN KINASE-LIKE3 s(OsD6PKL3s),homologs of a known Arabidopsis aperture protein,to affect rice pollen aperture development.Our findings suggested that DEAP1 is involved in male reproductive development and may affect exine formation and aperture patterning,thereby providing new insights into the molecular functions of plant FLAs in male fertility. | Dan Zhou Ting Zou Kaixuan Zhang Pingping Xiong Fuxing Zhou Hao Chen Gongwen Li Kaiyou Zheng Yuhao Han Kun Peng Xu Zhang Shangyu Yang Qiming Deng Shiquan Wang Jun Zhu Yueyang Liang Changhui Sun Xiumei Yu Huainian Liu Lingxia Wang Ping Li Shuangcheng Li | 2022 | Journal of Integrative Plant Biology2022，64，7： | 2 |
| 13 | Changes in Forest Biomass Carbon Storage in China Between 1949 and 1998 显示文摘 | Fang Jingyun Chert Anping Peng Changhui | 2001 | Science2001，292，： | 1 |
| 14 | Geographical Information System in Forestry: Practices, Problems and Prospects显示文摘 | Lin hui Peng changhui | 2000 | Forestry Studies in China2000，，1： | 1 |
| 15 | Modelling the response of net primary productivity (NPP) of boreal forest ecosystems to changes in climate and fire disturbance regimes 显示文摘 | PENG Changhui APPS M J | 1999 | Ecol Model1999，122，3： | 1 |
| 16 | Distribution and storage of soil organic carbon in China 显示文摘 | WU Haibin GUO Zhengtang PENG Changhui | 2003 | Global Biogeochemical Cycles2003，17，2： | 1 |
| 17 | Understanding the role of forest simulation models in sustainable forest management 显示文摘 | Changhui Peng | 2000 | Environmental Impact Assessment Review2000，20，： | 1 |
| 18 | Growth and structure development of semi-natural larch-spruce-fir (Larix olgensis-Picea jezoensis-Abies nephrolepis) forests in northeast China:12-year results after thinning显示文摘 | Lei Xiangdong Lu Yuanchang Peng Changhui | 2007 | Forest Ecology and Management2007，240，13： | 1 |
| 19 | Geographic Information System in Forestry PraCtices, Problems and Prospects 显示文摘 | Lin Hui Peng Changhui Sun Xiangyang | 2000 | Forestry Studies in China2000，2，1： | 1 |
| 20 | Changes in forest biomass carbon storage in China between 1949 and 1998 显示文摘 | Fang Jingyun Chen Anping Peng Changhui | 2001 | Science2001，292，： | 1 |
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