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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 | Impacts of changed litter inputs on soil CO_2 efflux in three forest types in central south China显示文摘Climate change is expected to cause the alteration of litter production in forests,which may result in substantial changes in soil CO2 efflux (FCO2) process as litter represents a major pathway of carbon from vegetation to the soils.In this study,we conducted an aboveground litter manipulation experiment to examine the influence of litter addition and exclusion on soil FCO2 in Camphor tree,Masson pine,and mixed Camphor tree and Masson pine forests in central south China.Litter input manipulation included three treatments:non-litter input (litter exclusion),double litter input (litter addition),and natural litter input (control).On average,litter exclusion significantly reduced soil FCO2 rate by approximately 39%,24% and 22% in Camphor tree forests,the Mixed forests,and Masson pine forests,respectively.On a yearly basis,double litter addition significantly increased soil CO2 by 12% in the Mixed forests (P=0.02) but not in both Camphor tree and Masson pine forests (P>0.05),when compared with their corresponding control treatments.However,litter addition increased soil FCO2 rates in the months of June-August in Camphor tree and Masson pine forests,coinciding with high soil temperature of summer conditions.Litter exclusion reduced soil FCO2 more than litter addition increased it in the study sites.Responses of soil respiration to litter input treatments varied with forest types.Litter input treatments did not alter the seasonal patterns of soil temperature and soil water content.Our results indicated that changes in aboveground litter as a result of global climate change and/or forest management have a great potential to alter soil respiration and soil carbon balance in forest ecosystems. | YAN WenDe CHEN XiaoYong TIAN DaLun PENG YuanYing WANG GuangJun ZHENG Wei | 2013 | Science China(Technological Sciences)2013，56，3： | 11 |
| 4 | 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 |
| 5 | 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 |
| 6 | Effects of different management regimes for cutover areas on soil carbon storage in Chinese fir plantations 显示文摘 | Fangxi Tian Dalun Xiang Wenhua | 2006 | Front For China2006，1，1： | 1 |
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