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Meta-analysis and its application in global change research

Chinese Science Bulletin 2007年第3期52卷 289-299,M0300-M0302页

作者： LEI XiangDong PENG ChangHui tian dalun SUN JianFeng Institute of Forest Resource Information Techniques Chinese Academy of Forestry Beijing 100091 China ECO-MCS Lab Institute of Environment Sciences University of Quebec at Montreal (UQAM) Montreal H3C 3P8 Canada Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China College of Life Science and Technology Central-South University of Forestry and Technology Changsha 410004 China

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.

关键词：全球变暖气候变化元分析生态系统 CO2浓度

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Impacts of changed litter inputs on soil CO2 efflux in three forest types in central south China

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Science Bulletin 2013年第7期58卷 750-757页

作者： YAN WenDe CHEN XiaoYong tian dalun PENG YuanYing WANG GuangJun ZHENG Wei National Engineering Laboratory for Applied Forest Ecological Technology in Southern China Natural Sciences Division College of DuPage College of Arts and Sciences Governors State UniversityUniversity Park College of Life Science and Technology Central South University of Forestry and Technology

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 *** 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 *** 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,*** 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 ***,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 *** exclusion reduced soil FCO2 more than litter addition increased it in the study *** of soil respiration to litter input treatments varied with forest *** input treatments did not alter the seasonal patterns of soil temperature and soil water *** 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.

关键词： soil respiration litter exclusion litter addition subtropical forests soil environmental factors

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Heavy metal accumulation by panicled goldenrain tree(Koelreuteria paniculata) and common elaeocarpus(Elaeocarpus decipens) in abandoned mine soils in southern China

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Journal of Environmental Sciences 2009年第3期21卷 340-345页

作者： tian dalun ZHU Fan YAN Wende Fang Xi XIANG Wenhua DENG Xiangwen WANG Guangjun PENG Changhui Section of Ecology Research Central-South University of Forestry& Technology Hunan 410004 China Institute of Environment Sciences Department of Biology Sciences University of Quebec at Montreal Case postale 8888 succ Centre-Ville Montreal (QC) H3C 3P8 Canada

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 coefficients 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 coefficients 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.

关键词： panicled goldenrain tree (Koelreuteria paniculata) common elaeocarpus (Elaeocarpus decipens) heavy metal elements accumulation abandoned mine sites

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Application of artificial neural networks in global climate change and ecological research:An overview

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Chinese Science Bulletin 2010年第34期55卷 3853-3863页

作者： LIU ZeLin PENG ChangHui XIANG WenHua tian dalun DENG XiangWen ZHAO MeiFang College of Life Science and Technology Central-South University of Forestry and Technology Changsha 410004 China Institute of Environment Sciences Department of Biology Sciences University of Quebec at Montreal Case postale 8888 succ Centre- Ville Montreal (QC) H3C 3P8 Canada

Fields that employ artificial neural networks(ANNs)have developed and expanded continuously in recent years with the ongoing development of computer technology and artificial *** 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 Nio-Southern Oscillation(ENSO)events,and atmospheric circulation *** 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 ***,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 *** 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 *** can resolve problems that other methods *** is especially true for situations in which measurements are difficult to conduct or when only incomplete data are *** is anticipated that ANNs will be widely adopted and then further developed for global climate change and ecological research.

关键词：人工神经网络全球气候变化生态问题应用大气环流异常短期预测计算机技术非线性问题

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国内工业生态安全研究述评

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生态学报 2016年第23期36卷 7538-7550页

作者：彭新沙田大伦中南林业科技大学生命科学与技术学院长沙410004 湖南商学院旅游管理学院长沙410205 南方林业生态应用技术国家工程实验室长沙410004

经过对国内工业生态安全研究文献的梳理与评价,从一个侧面比较系统地反映了国内该领域研究的现状、重点内容及发展趋势,指出了研究的若干重要进展及存在的不足。在此基础上,对今后我国工业生态安全研究提出了展望与建议。调研发现,国内... 详细信息

经过对国内工业生态安全研究文献的梳理与评价,从一个侧面比较系统地反映了国内该领域研究的现状、重点内容及发展趋势,指出了研究的若干重要进展及存在的不足。在此基础上,对今后我国工业生态安全研究提出了展望与建议。调研发现,国内学者在基础研究、应用研究方面都取得了明显进展:借鉴、界定和运用了一些重要概念;开拓了工业生态安全应用研究的两个重点领域。但是其不足也比较明显:基础理论研究非常薄弱;应用研究的尺度主要是中观层次(区域、行业、工业园区等),企业及国家层面工业生态安全等微观和宏观层次的专题系统研究文献比较少;研究方法上综合交叉研究、实证研究、定量分析比较薄弱。因此,应该大力加强工业生态安全基础性理论问题研究,重视实证研究与定量分析,紧紧抓住工业生态安全研究综合性与交叉性强的特点,在重点研究高耗能行业及工业自然生态环境安全的同时,注意拓展对工业经济生态环境安全、社会生态环境安全以及工业自然-经济-社会复合生态系统综合生态安全的研究。为此,应该建立各相关学科与部门有效沟通、官产学研合作攻关的协调机制。

关键词：工业生态安全工业生态风险国内研究现状述评

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Impacts of changed litter inputs on soil CO_2 efflux in three forest types in central south China

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Science China(Technological Sciences) 2013年第3期56卷 750-757页

作者： YAN WenDe CHEN XiaoYong tian dalun PENG YuanYing WANG GuangJun ZHENG Wei National Engineering Laboratory for Applied Forest Ecological Technology in Southern China College of Life Science and Technology Central South University of Forestry and Technology College of Arts and Sciences Governors State UniversityUniversity Park Natural Sciences Division College of DuPage

Climate change is expected to cause the alteration of litter production in forests, which may result in substantial changes in soil CO2 effiux （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： nonqitter 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 corre- sponding 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.

关键词： soil respiration litter exclusion litter addition subtropical forests soil environmental factors

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湖南省优势树种森林资源资产负债表编制研究

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生态学报 2019年第19期39卷 7283-7294页

作者：袁继安宁晨田大伦中南林业科技大学生命科学与技术学院长沙410004 中南林业科技大学商学院长沙410004 南方林业生态应用技术国家工程实验室长沙410004

选取湖南省2016年优势树种森林资源为研究对象,核算了林地、林木、生态服务、森林资源负债与净资产的价值。根据核算结果编制了森林资源资产负债表。结果表明,2016年优势树种林地总价值4938.00亿元,较上年增长12.84%,其中杉木、阔叶林... 详细信息

选取湖南省2016年优势树种森林资源为研究对象,核算了林地、林木、生态服务、森林资源负债与净资产的价值。根据核算结果编制了森林资源资产负债表。结果表明,2016年优势树种林地总价值4938.00亿元,较上年增长12.84%,其中杉木、阔叶林和马尾松林地价值合计占比达91.86%。林地单位面积价值为54797.23元/hm2。林木账面价值达到3385.06亿元,较上年增长2.19%。其中阔叶树、杉木和马尾松林木账面价值占总价值比重为95%;单位面积平均价值为37564.15元/hm2^。2016年生态服务价值3304.39亿元,较上年增长2.36%,单位面积生态服务价值36669元/hm^2。各生态服务价值在总价值中占比在1.81%(积累营养物质)到25.68%(涵养水源)之间。征占林地等4类森林资源损害因素共计减损森林面积和蓄积分别为1.35万hm^2和48.77万m^3。因此造成的森林资源负债金额由高到低依次为征占林地(618.26亿元)>森林火灾(505.48亿元)>乱砍滥伐(236.65亿元)>毁林开荒(67.12亿元)。林地资产、林木资产和生态服务价值占森林资源总资产价值的比重分别为42.47%、29.11%和28.42%。森林资源资产负债率为0.26%,资本积累率为6.50%。

关键词：湖南省优势树种森林资源森林资源核算资产负债表总账平衡表

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第2代杉木人工林地土壤微生物数量与土壤因子的关系

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林业科学 2007年第6期43卷 7-12页

作者：赵萌方晰田大伦中南林业科技大学生态研究室长沙410004

根据定位观测数据,对湖南会同第2代杉木人工林地土壤微生物数量与土壤因子的关系进行研究。结果表明：杉木人工林地土壤微生物数量以山洼最多,山坡次之,山脊最少;同一立地类型中,0-20cm土层中微生物数量最多,20-40cm次之,40-60cm最少;... 详细信息

根据定位观测数据,对湖南会同第2代杉木人工林地土壤微生物数量与土壤因子的关系进行研究。结果表明：杉木人工林地土壤微生物数量以山洼最多,山坡次之,山脊最少;同一立地类型中,0-20cm土层中微生物数量最多,20-40cm次之,40-60cm最少;在同一立地类型中,微生物总数、细菌的数量秋季最高,冬季最低,而真菌和放线菌的数量夏季最高,秋冬两季最低;同一立地类型的板栗林地土壤微生物总数高于杉木人工林地;微生物总数与土壤含水率呈极显著线性正相关（P〈0.01）,细菌、放线菌的数量与土壤含水率呈显著线性正相关（P〈0.05）,真菌的数量与土壤含水率不具有相关性（P〉0.05）;细菌、真菌、放线菌的数量和微生物总数与10cm处土壤温度不具有相关性（P〉0.05）;细菌、真菌的数量和微生物总数与土壤有机碳含量、全氮含量呈极显著线性正相关（P〈0.01）,放线菌的数量与土壤有机碳含量、全氮含量呈显著线性正相关（P〈0.05）。土壤温度、土壤含水率、土壤有机碳含量及全氮含量对杉木人工林地土壤微生物数量的贡献率为60%-70%。

关键词：第2代杉木人工林土壤微生物数量土壤因子

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血水草生物量及碳贮量分布格局

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生态学报 2013年第13期33卷 4165-4171页

作者：田大伦闫文德梁小翠刘铭中南林业科技大学长沙410004 南方林业生态应用技术国家工程实验室长沙410004 国家野外科学观测研究站会同418307 湖南师范大学长沙410081

采用样方收获法,利用实测数据,研究了湖南桃江血水草的生物量、碳含量、碳贮量及其分配特征。结果表明,血水草生物量为1744.70 kg/hm2,其中以地下根系生物量最高,为1278.63 kg/hm2,占血水草生物量的73.9%,且地下根系部分生物量与地上叶... 详细信息

采用样方收获法,利用实测数据,研究了湖南桃江血水草的生物量、碳含量、碳贮量及其分配特征。结果表明,血水草生物量为1744.70 kg/hm2,其中以地下根系生物量最高,为1278.63 kg/hm2,占血水草生物量的73.9%,且地下根系部分生物量与地上叶、茎部分生物量比值为2.74。血水草各器官平均碳含量为450.54 g/kg,从高到低排序为叶>茎>根。土壤层有机碳含量为6.63—38.50 g/kg,各层次碳含量分布不均,表层(0—15cm)土壤碳含量较高,并随土壤深度的增加而逐渐下降。生态系统碳贮量为101.19 t/hm2,碳库的分布格局为土壤层>植被层>枯落物层。植被层的碳贮量为0.79 t/hm2,占整个生态系统总碳贮量的0.78%;在植被层中,地下根系碳贮量为0.57 t/hm2,占植被层总碳贮量的72.2%,是植被层的主要碳库。枯落物层碳贮量较少,为0.22 t/hm2,仅占整个生态系统的0.22%,它是维系植物体地上碳库与土壤碳库形成循环的主要通道。血水草生态系统中的碳贮量绝大部分集中在土壤中,土壤层碳贮量可观,为100.18 t/hm2,占系统总碳贮量的99.0%,是血水草生态系统中的主要碳库。研究结果,可为深入研究亚热带地区草本植物的生态功能提供参考。

关键词：生物量碳含量碳贮量血水草湖南桃江

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长沙市区马尾松人工林生态系统碳储量及其空间分布

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生态学报 2012年第13期32卷 4034-4042页

作者：巫涛彭重华田大伦闫文德中南林业科技大学长沙410004

采用样方法和取样法,研究了长沙市区13年生马尾松林生态系统碳含量、碳储量及其空间分布特征。结果表明:马尾松林木各器官平均碳含量为511.17 g/kg,从高到低排列顺序为叶>干>根>皮>枝;林下灌木层、草本层、枯落物层的平均碳含量分别为53... 详细信息

采用样方法和取样法,研究了长沙市区13年生马尾松林生态系统碳含量、碳储量及其空间分布特征。结果表明:马尾松林木各器官平均碳含量为511.17 g/kg,从高到低排列顺序为叶>干>根>皮>枝;林下灌木层、草本层、枯落物层的平均碳含量分别为531.66、465.53、393.92g/kg。林地土壤层有机碳含量为9.40—24.73 g/kg,各层次碳素含量分布不均,表层(0—15cm)土壤碳素含量较高,并随土壤深度的增加而逐渐下降。生态系统碳库的空间分布序列为土壤层>植被层>枯落物层。植被层的碳储量为34.50t/hm2,占整个生态系统碳总储量的21.57%;乔木层碳储量占整个生态系统的20.27%,占植被层碳储量的93.97%。乔木层碳储量中,树干的碳储量最高,占乔木层碳储量的65.52%,其次为根,占乔木层碳储量的19.15%,树皮最少,仅占2.10%;枯落物层碳储量为3.81 t/hm2,仅占整个生态系统碳储量的2.38%;林地土壤层(0—60cm)碳储量相当可观,为121.62 t/hm2,占系统碳储量的76.05%。马尾松林年净生产力为4.88 ***-.2a-1,有机碳年净固定量为2.50 ***-.2a-1,折合成CO2的量为9.16 ***-.2a-1。

关键词：碳含量碳储量马尾松人工林城市长沙

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