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Review of Methods to Quantify Trade-offs among ecosystem Services and Future Model Developments

Journal of Resources and Ecology 2019年第2期10卷 225-233页

作者： WU Baiqiu WANG Junbang QI Shuhua WANG Shaoqiang LI Yingnian School of Geography and Environment Jiangxi Normal University Nanchang 330022 China Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Chinese Academy of Science Beijing 100101 China Northwest Institute of Plateau Biology Chinese Academy of Sciences Xining 810001 China School of Geography and Information Engineering China University of Geosciences Wuhan 430074 China

ecosystem services are spatially heterogeneous and temporal variability, which results in trade-offs,synergies and neutrality. The trade-off is a key problem in ecosystem management and requires optimized decision-making research. This paper reviews methods for identifying trade-offs and suggest future model developments. We conclude that(1) ecosystem service assessment depends on quantitative indicators and its modeling;(2)scenario analysis, multi-objective analysis and production possibility boundary are an effective means of ecosystem service trade-off decision-making;(3) future research needs to strengthen ecosystem service supply and demand flow and assist decision-making ecosystem mapping. Finally, integrated models should be developed to simulate and diagnose different scenarios and to optimize measures in land and ecosystem management for sustainability.

关键词： ecosystem service function trade-off quantitative methods

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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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Separating the impacts of climate change and human activities on actual evapotranspiration in Aksu River Basin ecosystems, Northwest China

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Hydrology Research 2018年第6期49卷 1741-1752页

作者： Yang, Peng Xia, Jun Zhan, Chesheng Chen, Xuejuan Qiao, Yunfeng Chen, Jie Key Laboratory of Water Cycle and Related Land Surface Processes Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing100101 China University of Chinese Academy of Sciences Beijing100049 China State Key Laboratory of Water Resources and Hydropower Engineering Sciences Wuhan University Wuhan430000 China Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing100101 China

Separating the impacts of climate change and human activity on actual evapotranspiration (ET) is important for reducing comprehensive risk and improving the adaptability of water resource systems. In this study, the spatiotemporal distribution of actual ET in the Aksu River Basin, Northwest China, during the period 2000–2015 was evaluated using the Vegetation Interfaces Processes model and Moderate Resolution Imaging Spectroradiometer-Normalized Difference Vegetation Index. The impact of climate change and human activity on actual ET were separated and quantified. The results demonstrated that: (1) the annual pattern of actual ET per pixel exhibited the highest values for arable land (average 362.4 mm/a/pixel), followed by forest land and grassland (average of 159.6 and 142.8 mm/a/pixel, respectively). Significant increasing linear trends (p © IWA Publishing 2018

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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Responses of greenhouse gas fluxes to experimental warming in wheat season under conventional tillage and no-tillage fields

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Journal of Environmental Sciences 2017年第4期29卷 314-327页

作者： Chun Tu Fadong Li Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of Sciences University of Chinese Academy of Sciences College of Resources and Environment University of Chinese Academy of Sciences

Understanding the effects of warming on greenhouse gas（GHG, such as N2O, CH4 and CO2 ）feedbacks to climate change represents the major environmental issue. However, little information is available on how warming effects on GHG fluxes in farmland of North China Plain（NCP）. An infrared warming simulation experiment was used to assess the responses of N2O, CH4 and CO2 to warming in wheat season of 2012–2014 from conventional tillage（CT） and no-tillage（NT） systems. The results showed that warming increased cumulative N2O emission by 7.7% in CT but decreased it by 9.7% in NT fields（p 〈 0.05）. Cumulative CH4 uptake and CO2 emission were increased by 28.7%–51.7% and 6.3%–15.9% in both two tillage systems,respectively（p 〈 0.05）. The stepwise regressions relationship between GHG fluxes and soil temperature and soil moisture indicated that the supply soil moisture due to irrigation and precipitation would enhance the positive warming effects on GHG fluxes in two wheat ***, in 2013, the long-term drought stress due to infrared warming and less precipitation decreased N2O and CO2 emission in warmed treatments. In contrast, warming during this time increased CH4 emission from deep soil depth. Across two years wheat seasons, warming significantly decreased by 30.3% and 63.9% sustained-flux global warming potential（SGWP） of N2O and CH4 expressed as CO2 equivalent in CT and NT fields, respectively. However, increase in soil CO2 emission indicated that future warming projection might provide positive feedback between soil C release and global warming in NCP.

关键词： Climate warming Greenhouse gas fluxes（N2O CH4 CO2） Conventional tillage No-tillage Soil temperature Soil moisture

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Latitudinal patterns and influencing factors of soil humic carbon fractions from tropical to temperate forests

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Journal of Geographical Sciences 2018年第1期28卷 15-30页

作者：徐丽王春燕朱剑兴高扬李美玲吕瑜良于贵瑞何念鹏 Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research CAS College of Resources and Environment University of Chinese Academy of Sciences Branch of Experimental School of Beihang University College of Geographical Science Southwest University

Soil humic carbon is an important component of soil organic carbon （SOC） in ter- restrial ecosystems. However, no study to date has investigated its geographical patterns and the main factors that influence it at a large scale, despite the fact that it is critical for exploring the influence of climate change on soil C storage and turnover. We measured levels of SOC, humic acid carbon （HAC）, fulvic acid carbon （FAC）, humin carbon （HUC）, and extractable humus carbon （HEC） in the 0-10 cm soil layer in nine typical forests along the 3800-km North-South Transect of Eastern China （NSTEC） to elucidate the latitudinal patterns of soil humic carbon fractions and their main influencing factors. SOC, HAC, FAC, HUC, and HEC increased with increasing latitude （all P〈0.001）, and exhibited a general trend of tropical 〈 subtropical 〈 temperate. The ratios of humic C fractions to SOC were 9.48%-12.27% （HAC）, 20.68%-29.31% （FAC）, and 59.37%-61.38% （HUC）. Climate, soil texture, and soil microbes jointly explained more than 90% of the latitudinal variation in SOC, HAC, FAC, HEC, and HUC and interactive effects were important. These findings elucidate latitudinal patterns of soil humic C fractions in forests at a large scale, and may improve models of soil C turnover and storage.

关键词： humic acid carbon humin latitude pattern soil organic carbon NSTEC

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The integration of nitrogen dynamics into a land surface model. Part 1: model description and site-scale validation

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Atmospheric and Oceanic Science Letters 2019年第1期12卷 50-57页

作者： YANG Xiujing DAN Li YANG Fuqiang PENG Jing LI Yueyue GAO Dongdong JI Jinjun HUANG Mei Key Laboratory of Regional Climate-Environment for Temperate East Asia Institute of Atmospheric Physics Chinese Academy of Sciences College of Earth and Planetary Sciences University of Chinese Academy of Sciences Key Laboratory of Water Cycle and Related Land Surface Processes Institute of Geographical Sciences and Natural Resources Research Chinese Academy of Sciences School of Atmospheric Sciences Chengdu University of Information and Technology Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences

Nitrogen cycling has profound effects on carbon uptake in the terrestrial ecosystem and the response of the biosphere to climate ***,nutrient cycling is not taken into account in most land surface models for climate *** this study,a nitrogen model,based on nitrogen transformation processes and nitrogen fluxes exchange between the atmosphere and terrestrial ecosystem,was incorporated into the Atmosphere–Vegetation Interaction Model(AVIM)to simulate the carbon cycle under nitrogen *** new model,AVIM-CN,was evaluated against site-scale eddy covariance–based measurements of an alpine meadow located at Damxung station from the FLUXNET 2015 *** showed that the annual mean gross primary production simulated by AVIM-CN(0.7073 gC m^-2 d^-1)was in better agreement with the corresponding flux data(0.5407 gC m^-2 d^-1)than the original AVIM(1.1403 gC m^-2 d^-1)at Damxung ***,ecosystem respiration was also down-regulated,from 1.7695 gC m^-2 d^-1 to 1.0572 gC m^-2 d^-1,after the nitrogen processes were introduced,and the latter was closer to the observed vales(0.8034 gC m^-2 d^-1).Overall,the new results were more consistent with the daily time series of carbon and energy fluxes of observations compared to the former version without nitrogen dynamics.A model that does not incorporate the limitation effects of nitrogen nutrient availability will probably overestimate carbon fluxes by about 40%.

关键词： Coupled carbon and nitrogen dynamics nitrogen limitation land surface model carbon–nitrogen–water cycles

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Corrigendum to “Gross mineralization and nitrification in degraded alpine grassland soil” [Rhizosphere Volume 27 , September 2023, 100778]

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Rhizosphere 2024年 30卷

作者： Peng Jin Min Liu Xingliang Xu Yue Sun Yakov Kuzyakov Anna Gunina Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences 11A Datun Road Chaoyang District Beijing 100101 China College of Resources and Environment University of Chinese Academy of Sciences Yanqi Lake Huairou District Beijing 101408 China Department of Earth and Environmental Science University of Manchester Manchester M13 9PY United Kingdom Department of Agroecology BayCEER University of Bayreuth Bayreuth 95447 Germany Department of Soil Science of Temperate Ecosystems Department of Agricultural Soil Science University of Göttingen 37077 Göttingen Germany Peoples Friendship University of Russia (RUDN University) 117198 Moscow Russia Institute of Environmental Sciences Kazan Federal University 420049 Kazan Russia Kassel University Department of Environmental Chemistry 37213 Germany Tyumen State University 625003 Tyumen Russia

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Climatic Changes Dominant Interannual Trend in Net Primary Productivity of Alpine Vulnerable ecosystems

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Journal of Resources and Ecology 2019年第4期10卷 379-388页

作者： YANG Yihan WANG Junbang LIU Peng LU Guangxin LI Yingnian Key Lab of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of SciencesBeijing 100101 China University of Chinese Academy of Sciehces Beijing 100049 China Henan Academy of Land and Resources Sciences Zhengzhou 450053 China Qinghai University Xining 810016 China Northwest Institute of Plateau Biology Chinese Academy of Sciences Xining 81000& China

The Three-River Headwaters(TRH), which is the source area of Yangtze River, Yellow River and Lancang River, is vulnerable and sensitive, and its alpine ecosystem is considered an important barrier for China’s ecological security. Understanding the impact of climate changes is essential for determining suitable measures for ecological environmental protection and restoration against the background of global climatic changes. However, different explanations of the interannual trends in complex alpine ecosystems have been proposed due to limited availability of reliable data and the uncertainty of the model itself. In this study, the remote sensing-process coupled model(GLOPEM-CEVSA) was used to estimate the net primary productivity(NPP) of vegetation in the TRH region from 2000 to 2012. The estimated NPP significantly and linearly correlated with the above-ground biomass sampled in the field(the multiple correlative coefficient R2 = 0.45, significant level P < 0.01) and showed better performance than the MODIS productivity product, i.e. MOD17 A3,(R2 = 0.21). The climate of TRH became warmer and wetter during 1990-2012, and the years 2000 to 2012 were warmer and wetter than the years1990–2000. Responding to the warmer and wetter climate, the NPP had an increasing trend of 13.7 g m^–2(10 yr)^–1 with a statistical confidence of 86%(P = 0.14). Among the three basins, the NPP of the Yellow River basin increased at the fastest rate of 17.44 g m^–2(10 yr)^–1(P = 0.158), followed by the Yangtze River basin, and the Lancang River, which was the slowest with a rate of 12.2 g m^–2(10 yr)^–1 and a statistical confidence level of only 67%. A multivariate linear regression with temperature and precipitation as the independent variables and NPP as the dependent variable at the pixel level was used to analyze the impacts of climatic changes on the trend of NPP. Both temperature and precipitation can explain the interannual variability of 83% in grassland NPP in the whole region, and

关键词： Three-River Headwaters alpine ecosystems net primary productivity climate changes

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Effects of microalgal (Tetradesmus obliquus MCX38) attachment on photobioreactor treatment efficiency of raw swine wastewater

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Bioresource technology 2024年 403卷 130866页

作者： Chengxiao Ma Wenying Qu Shih-Hsin Ho Junfeng Li Fadong Li Lijuan Yi College of Water Conservancy and Architecture Engineering Shihezi University Shihezi 832000 Xinjiang China. Electronic address: mcxshz@***. College of Water Conservancy and Architecture Engineering Shihezi University Shihezi 832000 Xinjiang China. Electronic address: quwenying@***. State Key Laboratory of Urban Water Resource and Environment Harbin Institute of Technology Harbin 150090 Heilongjiang China. Electronic address: stephen6949@***. College of Water Conservancy and Architecture Engineering Shihezi University Shihezi 832000 Xinjiang China. Electronic address: ljfshz@***. College of Water Conservancy and Architecture Engineering Shihezi University Shihezi 832000 Xinjiang China Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences 100101 Beijing China College of Resources and Environment University of Chinese Academy of Sciences 100190 Beijing China. Electronic address: lifadong@***. Key Laboratory for Green Process of Chemical Engineering of Xinjiang Bingtuan School of Chemistry and Chemical Engineering Shihezi University Shihezi 832003 Xinjiang China. Electronic address: ylj_xx@***.

Attachment of microalgae on the inner surfaces of photobioreactors impacts the efficiency of swine wastewater treatment by reducing the light intensity, which has been overlooked in previous studies. This study investigated the relationship between microalgal attachment biomass and light intensity in photobioreactors, determined the optimal attachment time for effective pollutant removal, and clarified the mechanisms of microalgal attachment in swine wastewater. After 9 days of treatment, the attached biomass in the photobioreactor increased from 0 to 6.4 g/m, decreasing the light intensity from 2,000 to 936 lux. At the 24 h optimal attachment time, the concentrations of chemical oxygen demand, ammonia nitrogen, and total phosphorus decreased from 2725.1, 396.4, and 87.2 mg/L to 361.2, 4.9, and 0.8 mg/L, respectively. Polysaccharides in the extracellular polymeric substances released by microalgae play a significant role in facilitating microalgae attachment. Optimizing the microalgal attachment time within photobioreactors effectively mitigates pollutant concentrations in swine wastewater.

关键词： Cell adhesion Extracellular polymeric substances Microalgae Piggery wastewater Pollutant removal

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