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Implication of community-level ecophysiological parameterization to modelling ecosystem productivity:a case study across nine contrasting forest sites in eastern China

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Journal of Forestry Research 2024年第1期35卷 1-11页

作者： Minzhe Fang Changjin Cheng nianpeng he Guoxin Si Osbert Jianxin Sun School of Ecology and Nature Conservation Beijing Forestry UniversityBeijing 100083China Research Institute of Energy Saving Environmental ProtectionOccupational Safety and HealthChina Academy of Railway Sciences Corporation LimitedBeijing 100081China 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

Parameterization is a critical step in modelling ecosystem dynamics.However,assigning parameter values can be a technical challenge for structurally complex natural plant communities;uncertainties in model simulations often arise from inappropriate model parameterization.here we compared five methods for defining community-level specific leaf area(SLA)and leaf C:N across nine contrasting forest sites along the North-South Transect of Eastern China,including biomass-weighted average for the entire plant community(AP_BW)and four simplified selective sampling(biomass-weighted average over five dominant tree species[5DT_BW],basal area weighted average over five dominant tree species[5DT_AW],biomass-weighted average over all tree species[AT_BW]and basal area weighted average over all tree species[AT_AW]).We found that the default values for SLA and leaf C:N embedded in the Biome-BGC v4.2 were higher than the five computational methods produced across the nine sites,with deviations ranging from 28.0 to 73.3%.In addition,there were only slight deviations(he whole plant community sampling(AP_BW)predicted NPP and the four simplified selective sampling methods,and no significant difference between the predictions of AT_BW and AP_BW except the Shennongjia site.The findings in this study highlights the critical importance of computational strategies for community-level parameterization in ecosystem process modelling,and will support the choice of parameterization methods.

关键词： Biome-BGC Community traits Forest Ecosystems Model parameterization

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Regional Variation in Carbon Sequestration Potential of Forest Ecosystems in China

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Chinese Geographical Science 2017年第3期27卷 337-350页

作者： XU Li WEN Ding ZHU Jianxing he nianpeng Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of ScienceBeijing 100101China University of Chinese Academy of Sciences Beo'ing 10049China

Enhancing forest carbon(C) storage is recognized as one of the most economic and green approaches to offsetting anthropogenic CO_2 emissions. However, experimental evidence for C sequestration potential(C_(sp)) in China's forest ecosystems and its spatial patterns remain unclear, although a deep understanding is essential for policy-makers making decisions on reforestation. here, we surveyed the literature from 2004 to 2014 to obtain C density data on forest ecosystems in China and used mature forests as a reference to explore C_(sp). The results showed that the C densities of vegetation and soil(0–100 cm) in China's forest ecosystems were about 69.23 Mg C/ha and 116.52 Mg C/ha, respectively. In mature forests, the C_(sp) of vegetation and soil are expected to increase to 129.26 Mg C/ha(87.1%) and 154.39 Mg C/ha(32.4%) in the coming decades, respectively. Moreover, the potential increase of C storage in vegetation(10.81 Pg C) is estimated at approximately twice that of soil(5.01 Pg C). Higher C_(sp) may occur in the subtropical humid regions and policy-makers should pay particular attention to the development of new reforestation strategies for these areas. In addition to soil nutrients and environment, climate was an important factor influencing the spatial patterns of C density in forest ecosystems in China. Interestingly, climate influenced the spatial patterns of vegetation and soil C density via different routes, having a positive effect on vegetation C density and a negative effect on soil C density. This estimation of the potential for increasing forest C storage provided new insights into the vital roles of China's forest ecosystems in future C sequestration. More importantly, our findings emphasize that climate constraints on forest C sequestration should be considered in reforestation strategies in China because the effects of climate were the opposite for spatial patterns of C density in vegetation and soil.Enhancing forest carbon(C) storage is recognized as one of the most economic and green approache

关键词：森林生态系统固碳潜力中国区域差异土壤碳密度密度数据气候条件空间格局

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Soil Microbial Metabolic Quotient in Inner Mongolian Grasslands: Patterns and Influence Factors

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Chinese Geographical Science 2019年第6期29卷 1001-1010页

作者： CAO Yingqiu XU Li ZHANG Zhen CheN Zhi he nianpeng Resources and Environment College Anhui Agricultural UniversityHefei 230036China 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 Institute of Grassland Science Northeast Normal Universityand Key Laboratory of Vegetation EcologyMinistry of EducationChangchun 130024China

Microbial metabolic quotient(MMQ) is the rate of soil microbial respiration per unit of microbial biomass, and represents the capacity of soil microbes to utilize soil organic matter.Understanding the regional variation and determinants of MMQ can help predict the responses of soil respiration rate to global climate change.Accordingly, we measured and analyzed MMQ-related data(e.g., soil basic respiration rate at 20℃ and soil microbial biomass) from 17 grassland sites, which located in meadow steppe, typical steppe, and desert steppe along a 1000-km transect across the Inner Mongolian grasslands, China.Results showed that MMQ varied significantly among the different grassland types(P typical > meadow) and decreased from southwest to northeast(r =–0.81) with increasing latitude(r = – 0.50), and with increasing mean annual precipitation(r = –0.69).Precipitation accounted for 56% of the total variation in MMQ, whereas temperature accounted for 26%.MMQ was negatively correlated with precipitation across the Inner Mongolian grasslands.Therefore, climate change, especially in regard to precipitation, may influence soil microbial respiration and soil carbon dynamics through altering MMQ.These results highlighted the importance of spatial patterns in MMQ for accurately evaluating the responses of soil respiration to climate change at regional and global scales.

关键词： soil respiration soil microbial biomass carbon precipitation temperature Inner Mongolian grassland

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Land-use impact on soil carbon and nitrogen sequestration in typical steppe ecosystems, Inner Mongolia

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Journal of Geographical Sciences 2012年第5期22卷 859-873页

作者： he nianpeng ZHANG Yunhai DAI Jingzhong HAN Xingguo BAOYIN Taogetao YU Guirui Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic: Sciences and Natural Resources Research CAS Beijing 100101 China State Key Laboratory of Vegetation and Environmental Change Institute of Botany CASBeijing 100093 China Inner Mongolia Agricultural University Hohhot 010018 China Institute of Natural Resources Inner Mongolia University Huhhot 010021 China

To explore the optimal land-use for soil carbon （C） sequestration in Inner Mongolian grasslands, we investigated C and nitrogen （N） storage in soil and soil fractions in 8 floristi- cally and topographically similar sites which subjected to different lancl-use types （free-grazing, grazing exclusion, mowing, winter grazing, and reclamation）. Compared with free-grazing grasslands, C and N storage in the 0-50 cm layer increased by 18.3% （15.5 Mg C ha-1） and 9.3% （0.8 Mg N ha-1） after 10-yr of grazing exclusion, respectively, and 21.9% （18.5 Mg C ha-1） and 11.5% （0.9 Mg N ha-1） after 30-yr grazing exclusion, respectively. Similarly, soil C and N storage increased by 15.3% （12.9 Mg C ha-1） and 10.2% （0.8 Mg N ha-1） after 10-yr mowing, respectively, and 19.2% （16.2 Mg C ha-1） and 7.1% （0.6 Mg N ha-1） after 26-yr mowing, respectively. In contrast, soil C and N storage declined by 10.6% （9.0 Mg C ha-1） and 11.4% （0.9 Mg N ha-1） after 49-yr reclamation, respectively. Moreover, increases in C and N storage mainly occurred in sand and silt fractions in the 0-10 cm soil layer with grazing exclusion and mowing. Our findings provided evidence that Inner Mongolian grassslands have the capacity to sequester C and N in soil with improved management practices, which were in the order： grazing exclusion 〉 mowing 〉 winter grazing 〉 reclamation.

关键词： carbon grazing land-use nitrogen reclamation soil fractions

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Spatial pattern of grassland aboveground biomass and its environmental controls in the Eurasian steppe

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Journal of Geographical Sciences 2017年第1期27卷 3-22页

作者： JIAO Cuicui YU Guirui he nianpeng MA Anna GE Jianping HU Zhongmin Synthesis Research Center of Chinese Ecosystem Research Network Key Laboratory of Ecosystem Network Observation and ModelingInstitute of Geographic Sciences and Natural Resources ResearchCASBeijing 100101China University of Chinese Academy of Sciences Beijing 100049China College of Life Sciences Beijing Normal UniversityBeijing 100875China

Vegetation biomass is an important component of terrestrial ecosystem carbon stocks. Grasslands are one of the most widespread biomes worldwideplaying an important role in global carbon cycling. Thereforestudying spatial patterns of biomass and their correlations to environment in grasslands is fundamental to quantifying terrestrial carbon budgets. The Eurasian steppean important part of global grasslandsis the largest and relatively well preserved grassland in the world. In this studywe analyzed the spatial pattern of aboveground biomass（AGB）and correlations of AGB to its environment in the Eurasian steppe by meta-analysis. AGB data used in this study were derived from the harvesting method and were obtained from three data sources（literatureglobal NPP database at the Oak Ridge National Laboratory Distributed Active Archive Center（ORNL）some data provided by other researchers）. Our results demonstrated that：（1） as for the Eurasian steppe overallthe spatial variation in AGB exhibited significant horizontal and vertical zonality. In detailAGB showed an inverted parabola curve with the latitude and with the elevationwhile a parabola curve with the longitude. In additionthe spatial pattern of AGB had marked horizontal zonality in the Black Sea-Kazakhstan steppe subregion and the Mongolian Plateau steppe subregionwhile horizontal and vertical zonality in the Tibetan Plateau alpine steppe subregion.（2） Of the examined environmental variablesthe spatial variation of AGB was related to mean annual precipitation（MAP）mean annual temperature（MAT）mean annual solar radiation（MAR）soil Gravel contentsoil p H and soil organic content（SOC） at the depth of 0–30 cm. NeverthelessMAP dominated spatial patterns of AGB in the Eurasian steppe and its three subregions.（3） A Gaussian function was found between AGB and MAP in the Eurasian steppe overallwhich was primarily determined by unique patterns of grasslands and environment in the Tibetan Plateau. AGB was significantly positively related to MAP in the Black Sea-Kazakhstan steppe sub

关键词： the Eurasian steppe aboveground biomass spatial pattern parabola curve Gaussian function

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Vertical Distribution of Soil Carbon, Nitrogen, and Phosphorus in Typical Chinese Terrestrial Ecosystems

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Chinese Geographical Science 2015年第5期25卷 549-560页

作者： CHAI Hua YU Guirui he nianpeng WEN Ding LI Jie FANG Jiangping Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Agriculture and Animal Husbandry College of Tibet University

Characterization of the vertical distribution of soil organic carbon(C), nitrogen(N), and phosphorus(P) may improve our ability to accurately estimate soil C, N, and P storage. Based on a database of 21 354 records in 74 long-term monitoring plots from 2004 to 2013 in the Chinese Ecosystem Research Network(CERN), we built fitting functions to quantify the vertical distribution of soil C, N, and P(up to 100 cm depth) in the typical Chinese terrestrial ecosystems. The decrease of soil C, N, and P content with depth can be well fitted with various mathematical functions. The fitting functions differed greatly between artificial(agriculture) and natural(desert, forest, and grassland) ecosystems, and also differed with respect to soil C, N, and P content. In both the artificial and natural ecosystems, the best fitting functions were exponential functions for C, quadratic functions for N, and quadratic functions for P. Furthermore, the stoichiometric ratios of soil C, N, and P were ranked in descending order: grassland > forest > agriculture > desert, and were also associated with climate. This study is the first to build the fitting functions for the profile distribution of soil C, N, and P in China at a national scale. Our findings provide a scientific basis to accurately assess the storage of C, N, and P in soils at a large scale, especially for the integrative analysis of historical data.

关键词：陆地生态系统垂直分布特征土壤碳磷含量中国生态系统研究网络最佳拟合函数自然生态系统氮

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Effects of Temperature and Moisture on Soil Organic Matter Decomposition Along Elevation Gradients on the Changbai Mountains, Northeast China

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Pedosphere 2016年第3期26卷 399-407页

作者： WANG Dan he nianpeng WANG Qing LV Yuliang WANG Qiufeng XU Zhiwei ZHU Jianxing Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 (China) Agricultural University of Anhui Hefei 230036 (China) College of Geographical Science Southwest University Chongqing 400715 (China)

Decomposition of soil organic matter(SOM) is of importance for CO_2 exchange between soil and atmosphere and soil temperature and moisture are considered as two important factors controlling SOM decomposition. In this study, soil samples were collected at 5 elevations ranging from 753 to 2 357 m on the Changbai Mountains in Northeast China, and incubated under different temperatures(5, 10, 15, 20, 25, and 30?C) and soil moisture levels(30%, 60%, and 90% of saturated soil moisture) to investigate the effects of both on SOM decomposition and its temperature sensitivity at different elevations. The results showed that incubation temperature(F = 1 425.10, P he decomposition rate of SOM. The significant effect of the interaction of incubation temperature and soil moisture on the SOM decomposition rate was observed at all the 5 sampling elevations(P he SOM decomposition rate well(P he variation of SOM decomposition rate at the 5 elevations. Temperature sensitivity of SOM decomposition, expressed as the change of SOM decomposition rate in response to a 10?C increase in temperature(Q_(10)), was significantly different among the different elevations(P he Q_(10) value(P hermore, the SOM decomposition rate was significantly related to soil total Gram-positive bacteria(R^2= 0.33, P hese findings highlight the importance of soil moisture to SOM decomposition and its Q_(10) value,which needs to be emphasized under warming climate scenarios.

关键词：土壤有机质有机质分解土壤水分海拔梯度土壤温度长白山东北中国

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Carbon sequestration potential and its eco-service function in the karst area, China

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Journal of Geographical Sciences 2017年第8期27卷 967-980页

作者： SONG Xianwei GAO Yang WEN Xuefa GUO Dali YU Guirui he nianpeng ZHANG Jinzhong College of Resources and Environment Southwest University Chongqing 400716 China Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research CAS Beijing 100101 China University of Chinese Academy of Sciences Beijing 100049 China

The karst critical zone is an essential component of the carbon （C） pool, constituting the global C cycle. It is referred to as one of the ＂residual land sink＂ that remains largely in- determinate. Karst area （2.2×10^7 km^2） comprises 15% of the world＇s land area, and karst area comprises 3.44~106 km^2 of area in China. Due to the complexity of karst structure and its considerable heterogeneity, C sequestration rate estimations contain large inaccuracies, especially in relation to the different methods used in calculations. Therefore, we reevaluated rock weathering-related C sink estimations in China （approximately 4.74 Tg C yr^-1）, which we calibrated from previous studies. Additionally, we stipulated that more comprehensive re- search on rock-soil-biology-atmosphere continuum C migration is essential to better under- stand C conversion mechanisms based on uncertainty analyses of C sink estimations. Moreover, we stressed that a collective confirmation of chemical methods and simulated models through a combined research effort could at least partially eliminate such uncertainty. Furthermore, integrated C cycling research need a long-term observation of the carbon flux of multi-interfaces. The enhanced capacity of ecosystem C and soil C pools remains an effective way of increasing C sink. Karst ecosystem health and security is crucial to human social de- velopment, accordingly, it is critical that we understand thresholds or potential C sink capacities in karst critical zones now and in the future.

关键词： karst karst critical zone carbon sink carbon sequestration rate China

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Nitrogen Deposition and Its Spatial Pattern in Main Forest Ecosystems along North-South Transect of Eastern China

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Chinese Geographical Science 2014年第2期24卷 137-146页

作者： ZHAN Xiaoyun YU Guirui he nianpeng FANG Huajun JIA Bingrui ZHOU Mei WANG Chuankuan ZHANG Junhui ZHAO Guangdong WANG Silong LIU Yunfen YAN Junhua Synthesis Research Center of Chinese Ecosystem Research Network Key Laboratory of Ecosystem Network Observation and ModelingInstitute of Geographic Sciences and Natural Resources ResearchChinese Academy of Sciences University of Chinese Academy of Sciences Institute of Botany Chinese Academy of Sciences College of Ecology and Environmental Science Inner Mongolia Agricultural University College of Forestry Northeast Forestry University Institute of Applied Ecology Chinese Academy of Sciences Institute of Forest Ecology Environment and Protection Chinese Academy of Forestry South China Botany Garden Chinese Academy of Sciences

A continuous three-year observation(from May 2008 to April 2011)was conducted to characterize the spatial variation of dissolved inorganic nitrogen(DIN)deposition at eight main forest ecosystems along the north-south transect of eastern China(NSTEC).The results show that both throughfall DIN deposition and bulk DIN deposition increase from north to south along the NSTEC.Throughfall DIN deposition varies greatly from 2.7 kg N/(ha·yr)to 33.0 kg N/(ha·yr),with an average of 10.6 kg N/(ha·yr),and bulk DIN deposition ranges from 4.1 kg N/(ha·yr)to 25.4 kg N/(ha·yr),with an average of 9.8 kg N/(ha·yr).NH4+-N is the dominant form of DIN deposition at most sampling sites.Additionally,the spatial variation of DIN deposition is controlled mainly by precipitation.Moreover,in the northern part of the NSTEC,bulk DIN deposition is 17%higher than throughfall DIN deposition,whereas the trend is opposite in the southern part of the NSTEC.The results demonstrate that DIN deposition would likely threaten the forest ecosystems along the NSTEC,compared with the critical loads(CL)of N deposition,and DIN deposition in this region is mostly controlled by agricultural activities rather than industrial activities or transportation.

关键词：中国东部南北样带森林生态系统空间格局氮沉降空间变化特征沉积差异 DIN 交通控制

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Nitrogen storage and allocation in China’s forest ecosystems

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Science China Earth Sciences 2020年第10期63卷 1475-1484页

作者： Li XU 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

Forests are important parts of terrestrial ecosystems and play a leading role in regional and global nitrogen(N)cycles.Detailed assessment of N storage and allocation in China’s forests is critical to improve the accuracy of regional or global N estimates and to guide policy-makers in the formulation of scientific and effective N management measures.However,the fore stN storage at national scale remains unclear.Based on 4420 forest field-investigated data,we investigated the N storage allocation in China’s forests,explored the spatial patterns and influence factors.The data included vegetation information on various organs(i.e.,leaf,branch,stem,and root)and soil information at different depths(0-30 cm and 0-100 cm).The total N storage in China’s forest ecosystems was 14.45±8.42 tN hm^–2;0.86±0.51 tN hm^–2(5.95%)in vegetation and 13.59±8.40 tN hm^–2(94.05%)in soil(0–100 cm).The storage and allocation of N varied significantly across various regions and forest types.For different ecological regions,N storage varied from 10.34 to 23.11 tN hm^–2,and the allocation ratio of N storage between vegetation and soil(0–100 cm)varied from 0.03 to 0.16.For different forest types,the N storage varied from 12.87 to 18.32 tN hm^–2,and the allocation ratio of N storage between vegetation and soil(0–100 cm)varied from 0.03 to 0.09.The spatial patterns relative to N storage and allocation in forests were different.Climate was the primary factor influencing the spatial variation in forestN storage,while soil texture was the main factor influencing the spatial variation in N allocation.These first estimates of N storage and allocation ratio in China’s forests are keys for improving the fitting accuracy of regional N cycle models and provide a reference for regional management of forestN.

关键词： Forest Nitrogen cycling Nitrogen storage Allocation Climate Soil nutrient Soil texture

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