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Predicting plant-soil N cycling and soil N_(2)O emissions in a Chinese old-growth temperate forest under global changes:uncertainty and implications

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Soil Ecology Letters 2020年第1期2卷 73-82页

作者： Weiwei dai Edith Bai Wei Li Ping Jiang guanhua dai Xingbo Zheng CAS Key Laboratory of Forest Ecology and Management Institute of Applied EcologyChinese Academy of SciencesShenyang 110016China College of Land Resource and Environment Jiangxi Agricultural UniversityNanchang 330045China Key laboratory of Poyang Lake Watershed Agricultural Resources and Ecology of Jiangxi Province Nanchang 330045China School of Geographical Sciences Northeast Normal UniversityChangchun 130024China College of Resources and Environment University of Chinese Academy of SciencesBeijing 100049China Research Station of Changbai Mountain Forest Ecosystems Chinese Academy of SciencesErdaobaihe 133600China

Soil-emitted N_(2)O contributes to two-thirds of global N_(2)O emissions,and is sensitive to global *** used DayCent model to simulate major plant-soil N cycling processes under different global change scenarios in a typical temperate mixed forest in north-eastern *** scenarios included warming(T),elevated atmospheric CO_(2) concentration([CO_(2)])(C),increased N deposition(N)and precipitation(P),and their full factorial *** responses of plant-soil nitrogen cycling processes including net N mineralization,plant N uptake,gross nitrification,denitrification and soil N_(2)O emission were *** increase of elevated[CO_(2)]and N deposition displayed most strong interactive effects on most *** the results from experimental studies for evaluation,simulation uncertainty was highest under elevated[CO_(2)]and increased precipitation among the four global change factors.N deposition had a fundamental impact on soil N cycle and N_(2)O emission in our studied *** forest soil acting as a N sink for added N,scenarios which included increased N deposition showed higher cumulative soil N_(2)O emissions(summed up from 2001 to 2100).In particular,the scenario which included T,P,and N had the largest cumulative soil N_(2)O emission,which was a 24.4% increase over that under ambient *** study points to the importance of the interactive effects of global change factors on plant-soil N cycling and the necessity of multi-factor manipulation experiments.

关键词： Global change DayCent Denitrification Nitrification Soil N_(2)O emission Temperate forest

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Nonscalability of Fractal Dimension to Quantify Canopy Structural Complexity from Individual Trees to Forest Stands

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Journal of Remote Sensing 2022年第1期2022卷 21-32页

作者： Xiaoqiang Liu Qin Ma Xiaoyong Wu Tianyu Hu guanhua dai Jin Wu Shengli Tao Shaopeng Wang Lingli Liu Qinghua Guo Yanjun Su State Key Laboratory of Vegetation and Environmental Change Institute of BotanyChinese Academy of SciencesBeijing 100093China China National Botanical Garden Beijing 100093China University of Chinese Academy of Sciences Beijing 100049China Key Laboratory of Forest Ecology and Management Institute of Applied EcologyChinese Academy of SciencesShenyang 110164China School of Biological Sciences The University of Hong KongPokfulamHong KongChina State Key Laboratory of Agrobiotechnology Chinese University of Hong KongHong KongChina Institute of Ecology College of Urban and Environmental SciencePeking UniversityBeijing 100871China Institute of Remote Sensing and Geographical Information Systems School of Earth and Space SciencesPeking UniversityBeijing 100871China

Canopy structural complexity is a critical emergent forest attribute,and light detection and ranging(lidar)-based fractal dimension has been recognized as its powerful measure at the individual tree ***,the current lidar-based estimation method is highly sensitive to data characteristics,and its scalability from individual trees to forest stands remains *** study proposed an improved method to estimate fractal dimension from lidar data by considering Shannon entropy,and evaluated its scalability from individual trees to forest stands through mathematical ***,a total of 280 forest stand scenes simulated from the terrestrial lidar data of 115 trees spanning large variability in canopy structural complexity were used to evaluate the robustness of the proposed method and the scalability of fractal *** results show that the proposed method can significantly improve the robustness of lidar-derived fractal *** mathematical derivations and experimental analyses demonstrate that the fractal dimension of a forest stand is equal to that of the tree with the largest fractal dimension in it,manifesting its nonscalability from individual trees to forest *** nonscalability of fractal dimension reveals its limited capability in canopy structural complexity quantification and indicates that the power-law scaling theory of a forest stand underlying fractal geometry is determined by its dominant tree instead of the entire ***,we believe that fractal dimension is still a useful indicator of canopy structural complexity at the individual tree level and might be used along with other stand-level indexes to reflect the“tree-to-stand”correlation of canopy structural complexity.

关键词： fractal dimension lidar

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Soil acidification in China’s forests due to atmospheric acid deposition from 1980 to 2050

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Science Bulletin 2022年第9期67卷 914-917,M0003页

作者： Qiongyu Zhang Jianxing Zhu Qiufeng Wang Li Xu Mingxu Li guanhua dai Jan Mulder Yue Xi Nianpeng He Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China College of Resources and Environment University of Chinese Academy of SciencesBeijing 100049China Faculty of Environmental Sciences and Natural Resource Management Norwegian University of Life SciencesÅs 1431Norway Research Station of Changbai Mountain Forest Ecosystems Chinese Academy of SciencesYanbian 133613China Center for Ecological Research Northeast Forestry UniversityHarbin 150000China

A stable soil pH is essential for maintaining the structure and functions of ecosystems[1].In previous decades,the development model of high energy consumption has rapidly increased the emission of acid *** has not only resulted in the direct input of acidity into the soil but also in the production of acidity through elements cycling,both of which produce protons(Fig.S1 online)[2].Recent studies have shown that atmospheric acid deposition has decreased by more than half compared with that during the *** decrease in acid deposition in Europe and North-America has resulted in recovery of soil acidification[3].

关键词：恢复措施土壤酸化大气沉降酸沉降可持续发展长期监测污染控制氮沉降

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Ecosystem Carbon Allocation of a Temperate Mixed Forest and a Subtropical Evergreen Forest in China

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Journal of Resources and Ecology 2018年第6期9卷 642-652页

作者： LUO Yiwei ZHANG Leiming GUO Xuebing dai guanhua WANG Anzhi ZHOU Guoyi YU Guirui Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing I00101China College of Resources and Environment University of Chinese Academy of SciencesBeijing 100049China Institute of Applied Ecology Chinese Academy of SciencesShenyang 110016China South China Botanical Garden Chinese Academy of SciencesGuangzhou 510650China

Ecosystem carbon allocation can indicate ecosystem carbon cycling visually through its quantification within different carbon pools and carbon *** the ecological inventory and eddy covariance measurement applied to both a mature temperate mixed forest in Changbai Mountain (CBM)and a mature subtropical evergreen forest in Dinghu Mountain (DHM),we partitioned the ecosystem carbon pool and carbon exchange into different components,determined the allocation and analyzed relationships within those ***, the total carbon stock of CBM was slightly higher than that of DHM due to a higher carbon stock in the arbor layer at *** was interesting that the proportions of carbon stock in vegetation,soil and litter were similar for the two mature *** ratio of vegetation carbon pool to soil carbon stock was 1.5 at CBM and 1.3 at ***, more carbon was allocated to the trunk and root from the vegetation carbon pool at CBM,while more carbon was allocated to foliage and branches at ***,77% of soil carbon storage was limited to the surface soil layer (0-20cm),while there was still plentiful carbon stored in the deeper soil layers at *** root/shoot ratios were 0.30 and 0.25 for CBM and DHM,*** rates of net ecosystem productivity (NPP)to gross ecosystem productivity (GPP)were 0.76 and 0.58,and the ratios of ecosystem respiration (Re)to GPP were 0.98and 0.87for CBM and DHM,*** net ecosystem carbon exchange/productivity (NEP)was 0.24t C ha^-1 yr^-1 for CBM and 3.38t C ha^-1 yr^-1 for *** to the common seasonal and inter-annual variations of ecosystem carbon exchange resulting from the influence of environmental factors,it was necessary to use the long record dataset to evaluate the ecosystem sink capacity.

关键词： carbon allocation ecosystem carbon stock ecosystem carbon exchange ecosystem productivity mature forest

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土壤温度和湿度对长白松林土壤呼吸速率的影响

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应用生态学报 2005年第9期16卷 1581-1585页

作者：刘颖韩士杰胡艳玲戴冠华中国科学院沈阳应用生态研究所中国科学院长白山森林生态系统定位研究站二道白河133613

2003年6月17日、8月5日和10月10日,研究了长白山长白松林地内土壤呼吸速率和断根土壤呼吸速率日变化,并于2004年5～9月对其季节变化进行了测定.结果表明,土壤总呼吸速率和断根土壤呼吸速率的日变化均呈单峰型,峰值一般出现在12:00～14:0... 详细信息

2003年6月17日、8月5日和10月10日,研究了长白山长白松林地内土壤呼吸速率和断根土壤呼吸速率日变化,并于2004年5～9月对其季节变化进行了测定.结果表明,土壤总呼吸速率和断根土壤呼吸速率的日变化均呈单峰型,峰值一般出现在12:00～14:00,8月份土壤呼吸速率的日变化幅度小于6月份和10月份.土壤总呼吸速率、断根土壤呼吸速率和根系呼吸速率具有明显的季节变化,6～8月份较高,5月份和9月份较低.2004年5～9月份,土壤总呼吸速率、断根土壤呼吸速率和根系呼吸速率的平均值分别为3.12、1.94和1.18 μmolCO2·m-2·s-1,根系呼吸对土壤总呼吸的贡献为26.5%～52.6%.土壤呼吸速率与土壤温度之间呈显著的指数相关,与土壤湿度之间呈线性相关.土壤总呼吸速率、断根土壤呼吸速率和根系呼吸速率的Q10值分别为2.44、2.55和2.27,断根土壤呼吸速率对温度的敏感程度大于土壤总呼吸速率和根系呼吸速率.土壤总呼吸速率对土壤湿度的敏感程度大于根系呼吸,断根土壤呼吸速率对土壤湿度的敏感程度最差.

关键词：长白松土壤呼吸速率土壤温度土壤湿度

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Modelling Soil Greenhouse Gas Fluxes from a Broad-leaved Korean Pine Forest in Changbai Mountain: Forest-DNDC Model Validation

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Journal of Resources and Ecology 2019年第2期10卷 127-136页

作者： YE Shu GUO Chuying HAN Jiayin ZHANG Leiming dai guanhua WEN Xuefa YU Guirui Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academyof Sciences Beijing 100101 China College of Resources and Environment University of Chinese Academy of Sciences Beijing 100190 China Institute of Applied Ecology Chinese Academy of Sciences Shenyang 110016 China

Fluctuations in soil greenhouse gas(GHG)are an important part of the terrestrial ecosystem carbon-nitrogen cycle,but uncertainties remain about the dynamic change and budget assessment of soil GHG *** high frequency and consecutive soil GHG fluxes measured with an automatic dynamic chamber system,we tested the applicability of the current Forest-DNDC model in simulating soil CH4,CO2 and N2O fluxes in a temperate broad-leaved Korean pine forest at Changbai *** results showed that the Forest-DNDC model reproduced general patterns of environmental variables,however,simulated seasonal variation in soil temperature,snow melt processes and soil moisture partly deviated from measured variables,especially during the non-growing *** modeled CH4 flux was close to the field measurement and co-varied mainly with soil temperature and *** modeled soil CO2 flux had the same seasonal trend to that of the observation along with variation in temperature,however,simulated CO2 flux in the growing season was *** modeled N2O flux attained a peak in summer due to the influence of temperature,which was apparently different from the observed peak of N2O flux in the freeze-thaw ***,both modeled CO2 flux and N2O flux were dampened by rainfall *** from consistent estimation of annual soil CH4 flux,the annual accumulation of CO2 and N2O was *** is still necessary to further optimize model parameters and processes using long-term high-frequency observation data,especially transference of heat and water in soil and GHG producing *** work will improve modeling,ecosystem carbon-nitrogen budget assessment and estimation of soil GHGs flux from the site to the region.

关键词： soil GHGs flux dynamic chamber method forest-DNDC temperate forest

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长期监测与野外控制试验揭示温带典型森林结构、功能及演变规律

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中国科学院院刊 2019年第8期34卷 948-961页

作者：郑兴波于大炮王安志戴冠华中国科学院沈阳应用生态研究所沈阳110016 中国科学院长白山森林生态系统定位研究站沈阳110016

我国温带森林生态系统是东北生态屏障的重要组成部分,不仅孕育着丰富的生物多样性,而且是我国重要的木材资源培育基地,也是我国应对气候变化的重要支撑。由于过度采伐利用,温带针阔混交林的结构和功能遭受严重影响,显著影响了区域生态... 详细信息

我国温带森林生态系统是东北生态屏障的重要组成部分,不仅孕育着丰富的生物多样性,而且是我国重要的木材资源培育基地,也是我国应对气候变化的重要支撑。由于过度采伐利用,温带针阔混交林的结构和功能遭受严重影响,显著影响了区域生态安全。中国科学院长白山森林生态系统定位观测研究站(以下简称"长白山站")以揭示我国温带原始阔叶红松林的结构、功能及其演变过程为核心,开展长期综合监测和试验研究,发现了老龄林仍然具有持续碳汇能力,揭示了植被数量、大树数量以及树木水分传导率、抗栓塞能力对森林生产力具有重要影响;通过控制实验,阐明了CO2浓度增加和氮(N)添加能够增加生态系统碳汇和碳固持能力;发现了种子结实机制和尺度在群落构建中的作用,揭示了环境过滤、扩散限制和随机稀释是阔叶红松林生物多样性形成和维持的主要机制;探索了在群落演替过程中地上-地下以及生物多样性-生产力的关系。研究成果为揭示森林生态系统碳汇及其形成与维持机制,促进温带受干扰森林生态系统结构和功能的恢复,以及构建区域生态安全等提供理论支撑。同时,长白山站与国内外科研单位、大专院校等开展合作研究;与周边林业局合作,研制和示范了森林生态系统管理决策支持系统。长白山站是我国温带重要的森林生态系统科学研究基地,也是国内产学研相结合的业务科技支撑平台和生态学、林学人才培养基地。

关键词：阔叶红松林全球变化生物多样性森林生产力森林演替

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长白山PM_(2.5)中水溶性无机离子观测研究

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环境化学 2011年第4期30卷 812-815页

作者：赵亚南王跃思温天雪戴冠华中国科学院大气物理研究所北京100029 中国气象局培训中心北京100081 中国科学院长白山森林生态系统定位站吉林133613

2005年12月—2006年11月在长白山北坡海拔763 m处,利用大流量滤膜采样器对大气中的PM2.5进行采样,并用离子色谱(IC)分析了PM2.5中水溶性无机离子的成分含量.结果表明,PM2.5中总水溶性无机离子年平均浓度为(7.4±5.7)μg.m-3.其中,主要的... 详细信息

2005年12月—2006年11月在长白山北坡海拔763 m处,利用大流量滤膜采样器对大气中的PM2.5进行采样,并用离子色谱(IC)分析了PM2.5中水溶性无机离子的成分含量.结果表明,PM2.5中总水溶性无机离子年平均浓度为(7.4±5.7)μg.m-3.其中,主要的3种离子SO24-、NH+4和NO-3占PM2.5中总水溶性无机离子浓度的83%.PM2.5中NH+4与SO24-的摩尔电荷浓度比值为1.1,NH+4与SO24-主要以(NH4)2SO4的形式存在.PM2.5中Σ阳离子/Σ阴离子变化范围为0.65—1.76,平均值为1.03±0.21,水溶性无机离子电荷基本平衡.

关键词： PM25 水溶性离子

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哈泥泥炭沼泽典型土壤节肢动物群落结构的生境变异特征

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生态学杂志 2023年第8期42卷 1869-1879页

作者：林奕伶孙新刘冬戴冠华刘吉平武海涛中国科学院东北地理与农业生态研究所长春130102 中国科学院城市环境研究所福建厦门361021 中国科学院沈阳应用生态研究所沈阳110016 吉林师范大学旅游与地理科学学院吉林四平136000

泥炭沼泽具有养分贫瘠、环境梯度复杂和微生境多样等特点。为探究环境梯度和微生境异质性对典型土壤节肢动物群落结构的影响,以长白山哈泥泥炭沼泽湿地为研究区,于2019年10月和2020年9月开展调查,共采集土壤跳虫和螨类71454只。在空间... 详细信息

泥炭沼泽具有养分贫瘠、环境梯度复杂和微生境多样等特点。为探究环境梯度和微生境异质性对典型土壤节肢动物群落结构的影响,以长白山哈泥泥炭沼泽湿地为研究区,于2019年10月和2020年9月开展调查,共采集土壤跳虫和螨类71454只。在空间尺度上,沿泥炭沼泽湿地环境梯度,森林沼泽、灌丛沼泽和藓类沼泽中土壤跳虫和螨类的物种密度、类群数、优势种、特有种及多样性指数均发生明显变化;时间尺度上,哈泥泥炭沼泽生境中土壤节肢动物群落结构在采样的两年内年际变化较大,而藓丘微生境中土壤动物群落结构保持相对稳定。不同微生境相比,藓丘微生境中土壤节肢动物的密度、类群数及多样性指数均显著高于周边毛苔草群落,不同藓种形成的藓丘微生境间土壤节肢动物多样性无显著差异。筛选出14种土壤节肢动物指示物种,主要集中于藓丘微生境中。冗余分析表明,水位和藓类总有机碳含量是影响藓丘微生境内部土壤节肢动物群落的关键环境因子。

关键词：节肢动物群落结构生境藓丘泥炭沼泽

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长白山阔叶红松林近22年的气候动态

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生态学杂志 2005年第9期24卷 1007-1012页

作者：张弥关德新韩士杰吴家兵张军辉金明淑徐浩何秀戴冠华中国科学院沈阳应用生态研究所中国科学院研究生院北京100039

长白山阔叶红松林作为典型的温带森林生态系统,其长期的气候动态状况对研究全球变化具有重要的意义.本文采用中国科学院长白山森林生态系统定位站气象观测场1982～2003年的地面常规气象观测资料,对长白山阔叶红松林的光能因子(包括年日... 详细信息

长白山阔叶红松林作为典型的温带森林生态系统,其长期的气候动态状况对研究全球变化具有重要的意义.本文采用中国科学院长白山森林生态系统定位站气象观测场1982～2003年的地面常规气象观测资料,对长白山阔叶红松林的光能因子(包括年日照时数、年日照百分率)、热量因子(包括年平均气温、1月、7月月平均气温、年极端最高、最低气温、年积温)、水分因子(包括年总降水量、年最大雪深、相对湿度、年总蒸发量)、以及年平均风速与风向等气候因子进行了分析,从而得出这些因子22年的平均值及其动态变化趋势,进而为相关领域的研究提供基础资料.

关键词：长白山阔叶红松林气候因子气候动态

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