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Temperature Affects New Carbon Input Utilization by Soil Microbes: Evidence based on a Rapid δ^(13)C Measurement Technology

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Journal of Resources and Ecology 2019年第2期10卷 202-212页

作者： CAO Yingqiu ZHANG Zhen XU Li CHEN Zhi HE Nianpeng Resources and Environment College Anhui Agricultural University Hefei 230036 China 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 100049 China Institute of Grassland Science Northeast Normal University and Key Laboratory of Vegetation Ecology Ministry of Education Changchun 130024 China

Strong and rapid responses of soil microbial respiration to pulses,such as those from available soil organic matter(SOM)or water input from precipitation(especially in arid areas),are ***,how soil microbes utilize new SOM inputs and the effects that temperature may have on their activities are unclear owing to the limitation in the application of traditional isotopic techniques at minute *** the present study,we developed a system of measuring 12CO2 and δ^13C minutely and synchronously under controlled incubation temperatures,i.e.,for 48 h at 7,10,15,20,and 25℃,to explore the carbon utilization strategies of soil *** measured the respiration rates of soil microbes in response to different carbon sources,i.e.,added glucose(Rg)and initial SOM(Rs),as well as the total respiration rate(Rt).All responses were rapid and characterized by unimodal ***,the characteristic values of these curves,such as the maximum of rate(R-max),the time required to achieve R-max,and the ratio of the duration of R-max to that of 1/2 R-max,were all dependent on incubation ***,temperature greatly influenced the strategy that microorganisms employed to utilize different carbon *** effects of temperature on the intensity of the microbial respiratory response and the ratio of Rg/Rs are important for evaluating the effect of land-use changes or variations in seasonal temperature on SOM turnover and should be considered in ecological models in future studies.

关键词： soil respiration decomposition isotopic pulse soil organic matter turnover

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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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GIS spatial interpolation compared with soil type method for estimating soil carbon storage

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Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering 2014年第20期30卷 155-162页

作者： Zhao, Guangshuai Li, Fadong Li, Yunsheng Li, Jing Ouyang, Zhu Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research CAS Beijing100101 China University of Chinese Academy of Sciences Beijing100049 China

Soil carbon (C), especially the soil organic carbon (SOC) plays an important role in maintaining food production and reducing greenhouse gas emissions, and thus a better understanding of the spatial variability of SOC stocks is of great significance for the regional ecological environment and development of sustainable agriculture. Previous studies on SOC estimates were more conducted in larger scale, and the results often appeared quite different due to the amount of sampling, calculation methods and the complexity of the regional variation in environmental factors. Simulation with spatial interpolation of geographic information system (GIS) method and soil type method were frequently applied to calculate the SOC stocks, but whether the calculation results of both methods were consistent was inconclusive. In this paper, three typical counties of Shandong Province (Pingyi county, Yucheng county and Laiyang county) were selected as an example. We collected 208 soil profiles from three typical counties, including 71 profile points in Pingyi county, 69 profile points in Laiyang county and 68 profile points inYucheng county, and each soil sampling was collected with 3 duplicates. Through field sampling and analysis, SOC stocks were calculated with spatial interpolation simulation of GIS and soil type method respectively, and spatial distribution of soil organic carbon density (SCD) was analyzed, and further the results of county scale C stocks calculated by the GIS simulation method and soil type calculation method were compared to verify the applicability of GIS spatial interpolation simulation, and then to provide the basis for calculation of the C stocks in soil type classification missing areas or land change high frequency regions. The results indicated that: 1) The calculation results of SOC stocks in 0-20 cm soil layer with the two methods in the three typical counties were 3.88, 3.93, 3.54, 3.57, 2.78, 2.86 Tg respectively, while SCD in 0-20 cm soil layer are 2.

关键词： Organic carbon

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Carbon sequestration of Chinese forests from 2010 to 2060:spatiotemporal dynamics and its regulatory strategies

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Science Bulletin 2022年第8期67卷 836-843,M0004页

作者： Weixiang Cai Nianpeng He Mingxu Li Li Xu Longzhu Wang Jianhua Zhu Nan Zeng Pu Yan Guoxin Si Xiaoquan Zhang Xiaoyu Cen Guirui Yu Osbert Jianxin Sun School of Ecology and Nature Conservation Beijing Forestry UniversityBeijing 100083China 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 Beijing Representative Office the Nature ConservancyBeijing 100600China Institute of Forest Ecology Environment and ProtectionChinese Academy of ForestryBeijing 100091China Center for Ecological Research Northeast Forestry UniversityHarbin 150040China

Forestation is important for sequestering atmospheric carbon,and it is a cost-effective and nature-based solution(NBS)for mitigating global climate ***,under the assumption of forestation in the potential plantable lands,we used the forest carbon sequestration(FCS)model and field survey involving 3365 forest plots to assess the carbon sequestration rate(CSR)of Chinese existing and new forestation forests from 2010 to 2060 under three forestation and three climate *** considering the influence of extreme events and human disturbance,the estimated average CSR in Chinese forests was 0.358±0.016 Pg C a^(-1),with partitioning to biomass(0.211±0.016 Pg C a^(-1))and soil(0.147±0.005 Pg C a^(-1)),*** existing forests account for approximately 93.5%of the CSR,which will peak near 2035,and decreasing trend was present overall after *** 2035,effective tending management is required to maintain the high CSR level,such as selective cutting,thinning,and approximate ***,new forestation from 2015 in the potential plantable lands would play a minimal role in additional CSR *** China,the CSR is generally higher in the Northeast,Southwest,and Central-South,and lower in the *** the potential losses through deforestation and logging,it is realistically estimated that CSR in Chinese forests would remain in the range of 0.161–0.358 Pg C a^(-1) from 2010 to ***,forests have the potential to offset 14.1%of the national anthropogenic carbon emissions in China over the period of 2010–2060,significantly contributing to the carbon neutrality target of 2060 with the implementation of effective management strategies for existing forests and expansion of forestation.

关键词： Forest Carbon sequestration Storage Forestation Carbon neutrality

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A Study of Evaluating the Coupled Impacts of Climate Change and Land Use on Regional ecosystem Services

SSRN

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SSRN 2022年

作者： Sun, Lin Yu, Huajun Mingxing, Sun Wang, Yutao Fudan Tyndall Center Department of Environmental Science & Engineering Fudan University Shanghai200438 China Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing100101 China UN Environment Programme-International Ecosystem Management Partnership Beijing100101 China No.3663 Northern Zhongshan Road Shanghai200062 China

ecosystem services (ES) are key to maintaining sustainable regional development. Climate change and land cover and land use change (LULC) are one of the main factors leading to changes in regional ecosystem services. Existing studies have simulated regional ES changes under different future scenarios, providing valuable guidance for regional sustainable management. However, most studies focus on the effects of individual factors (LULC or climate change) on ES, paying insufficient attention to the coupled effects of the two elements. Yunnan Province is a biodiversity hotspot facing challenges in ES in the context of future climate change and rapid socio-economic development. In order to achieve sustainable management, policies must be developed in advance to address possible future ecological risks. In this study, we simulated the coupled effects of climate change and LULC on six types of ES using the SD, FLUS, and InVEST models. The scenario framework of shared socioeconomic pathways SSP245 and SSP585 was combined with LULC scenario dynamics to assess the changes of ES in 2030 and 2050, identifying sensitive areas and providing a scientific basis for local ecosystem management. In 2020, the eastern part of Yunnan Province was the coldspot area for all ES. Under the future scenarios, Yunnan Province’s ES show different loss rates and distinct spatial heterogeneity. Future climate change and LULC changes have a more significant negative impact on water conservation and water quality purification. About 66% of its counties will become sensitive areas for water production services, and 37% of counties will endure reduced water purification functions by more than 50%. According to the analytical results, we then proposed several suggestions to improve regional ES management. © 2022, The Authors. All rights reserved.

关键词： Climate change

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Quantitative Classification and Ordination of Plant Communities in the Upper and Middle Reaches of the Yarlung Zangbo River Basin

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Journal of Resources and Ecology 2019年第4期10卷 389-396页

作者： WANG Tong WANG Jingsheng DING Yuke LIU Wenjing BAO Xiaoting LI Chao Qianyanzhou Ecological Research Station Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China University of Chinese Academy of Sciences Beijing 100049 China Forest Inventory and Planning Institute of Tibet Autonomous Region Lhasa 850000 China School of Environment and Natural Resources Renmin University of China Beijing 100872 China

Based on vegetation survey data and environmental data of the Yarlung Zangbo River Basin, we conducted a quantitative ecological analysis of the vegetation community composition and the relationship between species and the environment in the study area. The results showed that 44 sampling sites and 68 plant species in the study area can be classified into seven subtypes: Artemisia minor + Stipa purpurea;Artemisia demissa + Stipa purpurea + Artemisia wellbyi;Kobresia pygmaea;Trikeraia hookeri;Sophora moorcroftiana + Cotoneaster multiflorus + Pennisetum centrasiaticum;Artemisia frigida;Potentilla fruticosa + Orinus thoroldii. Detrended correspondence analysis(DCA) indicated that both longitude and altitude play important roles in site and species distribution patterns. In addition, canonical correspondence analysis(CCA) revealed that in the upper and middle reaches of the Yarlung Zangbo River Basin, changes in temperature and precipitation caused by longitude are the main factors controlling the formation and transition of vegetation community types. Moreover, natural vegetation could be divided into three types: desert steppe community(source area), alpine steppe community(middle reaches region), and shrub community(confluence of Yarlung Zangbo River and Nyangqu River).

关键词： upper and middle reaches of the Yarlung Zangbo River plant community quantitative classification ordination

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The Effect of Higher Warming on Vegetation Indices and Biomass Production is Dampened by Greater Drying in an Alpine Meadow on the Northern Tibetan Plateau

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Journal of Resources and Ecology 2017年第1期8卷 105-112页

作者： WANG Jiangwei FU Gang ZHANG Guangyu SHEN Zhenxi Lhasa Plateau Ecosystem Research Station Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China University of Chinese Academy of Sciences Beijing 100049 China College of Resources and Environmental Sciences China Agricultural University Beijing 100193 China XiZang Agriculture and Animal Husbandry College Linzhi 860000 China

In order to understand whether or not the response of vegetation indices and biomass production to warming varies with warming magnitude,an experiment of field warming at two magnitudes was conducted in an alpine meadow on the northern Tibetan Plateau beginning in late June,*** normalized difference vegetation index（NDVI）,green normalized difference vegetation index（GNDVI） and soil adjusted vegetation index（SAVI） data were obtained using a Tetracam Agricultural Digital Camera in 2013–*** gross primary production（GPP） and aboveground plant biomass（AGB） were modeled using the surface measured NDVI and climatic data during the growing seasons（***–September） in 2013–*** low and high warming significantly increased air temperature by 1.54 and 4.00°C,respectively,and significantly increased vapor pressure deficit by 0.13 and 0.31 kP a,respectively,in *** were no significant differences of GNDVI,AGB and ANPP among the three warming *** high warming significantly reduced average NDVI by 23.3%（-0.06）,while the low warming did not affect average *** low and high warming significantly decreased average SAVI by 19.0%（-0.04） and 27.4%（-0.05）,respectively,and average GPP by 24.2%（i.e.0.21 g C m^（-2） d^（-1）） and 44.0%（i.e.0.39 g C m^（–2） d^（-1））,***,the differences of the average NDVI,SAVI,and GPP between low and high warming were *** findings suggest that a greater drying may dampen the effect of a higher warming on vegetation indices and biomass production in alpine meadow on the northern Tibetan Plateau.

关键词： ANPP GPP NDVI Tibetan Plateau warming magnitude

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Enzyme Activities and Microbial Communities in Subtropical Forest Soil Aggregates to Ammonium and Nitrate-Nitrogen Additions

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Journal of Resources and Ecology 2017年第3期8卷 258-267页

作者： WEI Yan WANG Zhongqiang ZHANG Xinyu YANG Hao LIU Xiyu LIU Wenjing Northeast Normal University College of Geographic Science Changchun 130024 China Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beij ing 100101 China College of Resources and Environment. University of Chinese Academy of Sciences Beijing 100190 China

A laboratory incubation experiment was established to examine the impacts of nitrate and ammonium nitrogen additions on soil microbial attributes of a subtropical Pinus elliottii forest ecosystem in southern China. Soils were subjected to three different treatments： the control with no nitrogen addition （CK）, the ammonium nitrogen addition （NH4^＋-N）, and the nitrate nitrogen addition （NO23^-N）. Samples from bulk and two different size fractions （macroaggregate （〉250 pm） and microaggregate （53-250 μm）） were analyzed for soil properties, enzyme activities and microbial communities on day 7 and 15 of the incubation. Our study demonstrated that NH4^＋-N had a 9rearer influence on soil microbial activities than NO3-N. NH4^＋-N additions resulted in significant increases in 13-1,4-glucosidase （βG） and β-1,4-N-acetyl glucosaminidase （NAG） enzyme activities in bulk, macroaggregate and microag- gregate soils after 7 and 15 days incubation. NO3^-N additions only significantly increased in βG and NAG enzyme activities in bulk, macroaggregate soils after 7 and 15 days incubation, but not in microaggregate. All NH4^＋-N and NO3-N additions resulted in significant increases in gram-positive bacterial PLFAs in microaggregates. Only a significant correlation between soil nutrient contents and enzyme activities in macroaggregates was founded, which suggests that the soil aggregation structure played an important role in the determining enzyme activities.

关键词： nitrate nitrogen ammonium nitrogen soil aggregate enzyme activity phosphor-lipid fatty acid （PLFA）.

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Estimation of Daily Vapor Pressure Deficit Using MODIS Potential Evapotranspiration on the Tibetan Plateau

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Journal of Resources and Ecology 2018年第5期9卷 538-544页

作者： SHEN Zhenxi SUN Wei LI Shaowei ZHANG Haorui FU Gang YU Chengqun ZHANG Guangyu Lhasa Plateau Ecosystem Research Station Key Laboratory of Ecosystem Network Observation and ModelingInstitute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China University of Chinese Academy of Sciences Beijing 100049China College of Resources and Environmental Sciences China Agricultural UniversityBeijing 100193China Tibet Agriculture and Animal Husbandry University LinzhiTibet 860000China

Vapor pressure deficit（VPD） is an important parameter in modelling hydrologic cycles and vegetation productivity. Meteorological stations are scarce in remote areas,which often results in imprecise estimations of VPD on the Tibetan Plateau. Moderate Resolution Imaging Spectroradiometer（MODIS） provides evapotranspiration data,which may offer the possibility of scaling up VPD estimations on the Tibetan Plateau. However,no studies thus far have estimated VPD using MODIS evapotranspiration data on the Tibetan Plateau. Therefore,this study used MODIS potential evapotranspiration（PET） to estimate VPD in alpine meadows,alpine steppes,croplands,forests and shrublands for the year,spring,summer,autumn and winter in 2000-2012. A series of root-meansquared-error（RMSE） and mean-absolute-error（MAE） values were obtained for correlating measured VPD and estimated VPD using MODIS PET data for each listed time period and vegetation type： whole year（0.98-2.15 hPa and 0.68-1.44 hPa）,spring（0.95-2.34 hPa and 0.72-1.54 hPa）,summer（1.39-2.60 hPa and 0.89-1.96 hPa）,autumn（0.78-1.93 hPa and 0.56-1.36 hPa）,winter（0.48-1.40 hPa and 0.36-0.98 hPa）,alpine steppes（0.48- 1.39 hPa and 0.36-1.00 hPa）,alpine meadows（0.58-1.39 hPa and 0.44-0.90 hPa）,croplands（1.10-2.55 hPa and 0.82-1.74 hPa）,shrublands（0.98-1.90 hPa and 0.78-1.37 hPa）,and forests（1.40-2.60 hPa and 0.98-1.96 hPa）,respectively. Therefore,MODIS PET may be used to estimate VPD,and better results may be obtained if future studies incorporate vegetation types and seasons when the VPD data are estimated using MODIS PET on the Tibetan Plateau.

关键词： alpine ecosystems MOD16A2 vegetation types seasons

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Regional yield prediction of winter wheat based on retrieval of Leaf area index by remote sensing technology

Regional yield prediction of winter wheat based on retrieval...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Jianqiang Ren Zhongxin Chen Xiaomei Yang Xingren Liu Qingbo Zhou Key Laboratory of Resources Remote-Sensing & Digital Agriculture Ministry of Agriculture Beijing China Institute of Agricultural Resources & Regional Planning Chinese Academy of Agricultural Sciences Beijing China The State Key Laboratory of Resources and Environmental Information System Institute of Geographic Science and Natural Resources Research Chinese Academy and Sciences Beijing China Synthesis Research Center of Chinese Ecosystem Research Network & Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy and Sciences Beijing China

In this paper, the authors had a research on the winter wheat yield estimation using retrieved LAI from remote sensing in typical 11 counties in Huanghuaihai Plain in North China. In order to improve the quality of data and reduce error of yield estimation, Savitzky-Golay filter (S-G filter) was used to smooth the NDVI series to reduce influences of cloud contamination and abnormal data. At the same time, Gaussian model was used to simulate daily crop LAI to get average LAI at each growth stage. Using these average LAI, the authors established relationships between LAI and yield of winter wheat at main growth stage. After optimization of yield estimation model, the best period of time and best model was selected out. Finally, the authors depended on retrieved LAI from MODIS-NDVI to estimate winter wheat yield. The results showed that average relative error was 1.21% and that RMSE was 257.33 kg ha -1 comparing predicted yield with ground truth data. We draw a conclusion that we could accurately get winter wheat yield about 20-30 days ahead of harvest time.

关键词： Remote sensing Crops Yield estimation Remote monitoring Filters Information retrieval Agriculture ecosystems Predictive models Vegetation

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