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

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 relat

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

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Internet of Things to network smart devices for ecosystem monitoring

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Science Bulletin 2019年第17期64卷 1234-1245页

作者： Xin Li Ning Zhao Rui Jin Shaomin Liu Xiaomin Sun Xuefa Wen Dongxiu Wu Yan Zhou Jianwen Guo Shiping Chen Ziwei Xu Mingguo Ma Tianming Wang Yonghua Qu Xinwei Wang Fangming Wu Yuke Zhou Institute of Tibetan Plateau Research Chinese Academy of Sciences Beijing 100101 China State Key Laboratory of Remote Sensing Science Faculty of Geographical Science Beijing Normal University Beijing 100875 China State Key Laboratory of Remote Sensing Science Institute of Remote Sensing and Digital Earth Chinese Academy o f Sciences Beijing 100101 China Center for Excellence in Tibetan Plateau Earth Sciences Chinese Academy o f Sciences Beijing 100101 China Key Laboratory of Remote Sensing of Gansu Province Heihe Remote Sensing Experimental Research Station Cold and Arid Regions Environmental and Engineering Research Institute Chinese Academy of Sciences Lanzhou 730000 China State Key Laboratory of Earth Surface Processes and Resource Ecology Faculty o f Geographical Science Beijing Normal University Beijing 100875 China Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China State Key Laboratory of Vegetation and Environmental Change Institute of Botany Chinese Academy of Sciences Beijing 100093 China Optoelectronics System Laboratory Institute of Semiconductors Chinese Academy of Sciences Beijing 100083 China Research Base of Karst Eco-environments at Nanchuan in Chongqing Ministry of Nature Resources School of Geographical Sciences Southwest University Chongqing 400715 China Ministry of Education Key Laboratory for Biodiversity Science and Engineering Monitoring and Research Center for Amur Tigers and Amur Leopards National Forestry and Grassland Administration & College of Life Sciences Beijing Normal University Beijing 100875 China

Smart, real-time, low-cost, and distributed ecosystem monitoring is essential for understanding and managing rapidly changing ecosystems. However, new techniques in the big data era have rarely been introduced into operational ecosystem monitoring, particularly for fragile ecosystems in remote *** introduce the Internet of Things(IoT) techniques to establish a prototype ecosystem monitoring system by developing innovative smart devices and using IoT technologies for ecosystem monitoring in isolated environments. The developed smart devices include four categories: large-scale and nonintrusive instruments to measure evapotranspiration and soil moisture, in situ observing systems for CO2 and d13 C associated with soil respiration, portable and distributed devices for monitoring vegetation variables, and Bi-CMOS cameras and pressure trigger sensors for terrestrial vertebrate monitoring. These new devices outperform conventional devices and are connected to each other via wireless communication networks. The breakthroughs in the ecosystem monitoring IoT include new data loggers and longdistance wireless sensor network technology that supports the rapid transmission of data from devices to wireless networks. The applicability of this ecosystem monitoring IoT is verified in three fragile ecosystems, including a karst rocky desertification area, the National Park for Amur Tigers, and the oasis-desert ecotone in China. By integrating these devices and technologies with an ecosystem monitoring information system, a seamless data acquisition, transmission, processing, and application IoT is created. The establishment of this ecosystem monitoring IoT will serve as a new paradigm for ecosystem monitoring and therefore provide a platform for ecosystem management and decision making in the era of big data.

关键词： ecosystem monitoring Fragile ecosystem Internet of Things Wireless sensor network Smart device

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Effects of enhanced UV-B radiation on plant physiology and growth on the Tibetan Plateau: a meta-analysis

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ACTA PHYSIOLOGIAE PLANTARUM 2017年第3期39卷 1-9页

作者： Fu, Gang Shen, Zhen-Xi Chinese Acad Sci Inst Geog Sci & Nat Resources Res Key Lab Ecosystem Network Observat & Modeling Lhasa Plateau Ecosystem Res Stn Beijing 100101 Peoples R China

Uncertainties about the response of plant physiology and growth to enhanced UV-B radiation cause uncertainty to predict how plant production will vary under future radiation change on the Tibetan Plateau. Here, we used a meta-analysis approach to test the influence of UV-B radiation on plant physiology and growth. This hypothesis was tested by investigating the response of plants, which was expressed by some measurable variables. Enhanced UV-B radiation decreased plant biomass, plant height, basal diameter, leaf area index, maximal PSII efficiency, and Chl a+b, but increased intercellular CO2 concentration, malondialdehyde (MDA), hydrogen peroxide, superoxide anion radical, peroxidase, ascorbate peroxidase, proline and UV-B absorbing compounds. The effect of enhanced UV-B radiation on net photosynthesis rate (P-n) increased with mean annual precipitation and experimental duration. The effect of enhanced UV-B radiation on MDA decreased with experimental duration. The effect of enhanced UV-B radiation on superoxide dismutase (SOD) increased with the magnitude of enhanced UV-B radiation. Forests rather than grasslands exhibited a positive response of SOD and a negative response of P-n to enhanced UV-B radiation. Therefore, the effect of enhanced UV-B radiation on alpine plants varied with ecosystem types. Local climate conditions may regulate effects of enhanced UV-B radiation on alpine plants.

关键词： Antioxidant defense Photosynthesis Plant growth Response ratio ecosystem type Local climate conditions

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The importance of terrestrial carbon in supporting molluscs in the wetlands of Poyang Lake

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Chinese Journal of Oceanology and Limnology 2017年第4期35卷 825-832页

作者：张欢于秀波王玉玉徐军 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 Nature Conservation Beijing Forestry University Institute of Hydrobiology Chinese Academy of Sciences

Allochthonous organic matter plays an important role in nutrient cycling and energy mobilization in freshwater ecosystems. However, the subsidies of this carbon source in floodplain ecosystems have not yet well understood. We used a Bayesian mixing model and stable isotopes （613C and 815N） of primary food resources and dominant molluscs species, to estimate the relative importance of allochthonous carbon sources for consumers in a representative sub-lake of Poyang Lake during a prolonged dry season. Our study inferred that terrestrial-derived carbon from Carex spp. could be the primary contributor to snails and mussels in Dahuchi Lake. The mean percentage of allochthonous food resources accounted for 35%- 50% of the C incorporated by these consumers. Seston was another important energy sources for benthic consumers. However, during the winter and low water-level period, benthic algae and submerged vegetation contributed less carbon to benthic consumers. Our data highlighted the importance of terrestrial organic carbon to benthic consumers in the wetlands of Poyang Lake during the prolonged dry period. Further, our results provided a perspective that linkages between terrestrial and aquatic ecosystems might be facilitated by wintering geese via their droppings.

关键词： allochthonous Carex spp. molluscs floodplain wetland stable isotope analysis Poyang Lake

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Effect of experimental warming on soil respiration under conventional tillage and no-tillage farmland in the North China Plain

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Journal of Integrative Agriculture 2017年第4期16卷 967-979页

作者： TU Chun LI Fa-dong QIAO Yun-feng ZHU Nong GU Cong-ke ZHAO Xin Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101P.R.China University of Chinese Academy of Science Beijing 100049P.R.China

Understanding the response of soil respiration to global warming in agro-ecosystem is crucial for simulating terrestrial carbon （C） cycle. We conducted an infrared warming experiment under conventional tillage （CT） and no-tillage （NT） farmland for winter wheat and summer maize rotation system in North China Plain （NCP）. Treatments include CT with and without warming （CTW and CTN）, NT with and without warming （NTW and NTN）. The results indicated that warming had no sig- nificant effect on soil moisture in irrigated farmland of NCP （P〉0.05）. The elevated average soil temperature of 1.1-116℃ in crop growing periods could increase annual soil CO2 emission by 10.3% in CT filed （P〉0.05）, but significantly increase it by 12.7% in NT field （P〈0.05）, respectively. The disturbances such as plowing, irrigation and precipitation resulted in the obvious soil CO2 emission peaks, which contributed 36.6-40.8% of annual soil cumulative CO2 emission. Warming would enhance these soil CO2 emission peaks; it might be associated with the warming-induced increase of autotrophic respiration and heterotrophic respiration. Compared with un-warming treatments, dissolved organic carbon （DOC） and soil microbial biomass carbon （MBC） in warming treatments were significantly increased by 11.6-23.4 and 12.9-23.6%, respectively, indicating that the positive responses of DOC and MBC to warming in both of two tillage systems. Our study highlights that climate warming may have positive effects on soil C release in NCP in association with response of labile C substrate to warming.

关键词： global warming conventional tillage no-tillage soil respiration dissolved organic carbon soil microbial biomasscarbon

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Eco-friendly synthesis of gold nanoparticles using Equisetum diffusum D. Don. with broad-spectrum antibacterial, anticancer, antidiabetic, and antioxidant potentials

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Scientific reports 2025年第1期15卷 19246页

作者： Nasir Assad Marzia Batool Laila Muhammad Naeem Ul Hassan Muhammad Fayyaz Ur Rehman Liaqat Ali Muhammad Mustaqeem Barkat Ullah Muhammad Nauman Khan Majid Iqbal Sezai Ercişli Abdullah A Alarfaj Mohammad Javed Ansari Tabarak Malik Institute of Chemistry University of Sargodha Sargodha 40100 Pakistan. Department of Botany Islamia College Peshawar Peshawar 25120 Pakistan. Biology Laboratory University Public School University of Peshawar Peshawar 25120 Pakistan. 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. University of Chinese Academy of Sciences (UCAS) Beijing 100049 China. Department of Horticulture Agricultural Faculty Ataturk University Erzurum Türkiye. HGF Agro Ata Teknokent Erzurum Türkiye. Department of Botany and Microbiology College of Science King Saud University Riyadh 11451 Saudi Arabia. Department of Botany Hindu College Moradabad (Guru Jambheshwar University Moradabad) Uttar Pradesh 244001 India. Department of Biomedical Sciences Institute of Health Jimma University Jimma 378 Ethiopia. tabarak.malik@ju.edu.et. Division of Research & Development Lovely Professional University 144401 Phagwara India. tabarak.malik@ju.edu.et.

The present study reports, the eco-friendly synthesis of gold nanoparticles (AuNPs) using Equisetum diffusum D. Don. extract, a medicinal plant known for its therapeutic properties. Phytochemicals present in the extract served as reducing and stabilizing agents for synthesizing stable AuNPs with an average size range of 68.8 nm. The biosynthesized AuNPs were characterized using UV-vis spectroscopy, FTIR, XRD, SEM, EDX, and dynamic light scattering (DLS) methods, confirming their stability, morphology, and crystalline nature. The green synthesized ED@AuNPs exhibited promising biological activities, including broad-spectrum antibacterial activity against both Gram-positive and Gram-negative bacteria, with inhibition zones from 24 to 37 mm. The anticancer activity was assessed through an MTT assay against hepatic carcinoma (HePG2) cells, revealing dose-dependent cytotoxicity with maximum inhibition at 200 µg/mL (47.62%). Antidiabetic activity was demonstrated by starch hydrolysis and enzyme kinetics, with significant α-amylase inhibitory activity up to 70.85%, comparable to the standard drug Acarbose. Moreover, antioxidant activity was conformed through FRAP and DPPH assays, indicating strong free radical scavenging activity and reducing ability. The study demonstrates the potential of biosynthesized ED@AuNPs as multifunctional agents with applications in biomedicine, particularly in antibacterial, anticancer, antidiabetic, and antioxidant therapies, offering an eco-friendly and sustainable approach for nanoparticle synthesis.

关键词： Equisetum diffusum Anticancer activity Antidiabetic activity Antioxidant activity Gold nanoparticles Green synthesis

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Links between Western Pacific Subtropical High and vegetation growth in China

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Journal of Geographical Sciences 2018年第1期28卷 3-14页

作者：黄玫郝曼王绍强丹利顾峰雪王昭生巩贺 Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research CAS University of Chinese Academy of Sciences START Temperate East Asia Regional Center and Key Laboratory of Regional Climate-Environment for Temperate East Asia Institute of Atmospheric Physics CAS Key Laboratory of Dryland Agriculture Ministry of Agriculture Institute of Environment and Sustainable Development in Agriculture Chinese Academy of Agricultural Sciences

There is a lack of simple ways to predict the vegetation responses to the East Asian Monsoon(EAM) variability in China due to the complexity of the monsoon system. In this study, we found the variation of the Western Pacific Subtropical High(WPSH), which is one of the major components of the EAM, has a profound influence on the vegetation growth in China. When the WPSH is located more to the west of its climate average, the eastern and northwestern parts experience increased yearly-averaged normalized difference vegetation index(NDVI) and gross primary productivity(GPP) by 0.3%–2.2%, and 0.2%–2.2%, respectively. In contrast, when the WPSH is located more to the east of its climate average, the above areas experience decreased yearly-averaged NDVI and GPP by 0.4% to 1.6%, and 1.3% to 4.5%, respectively. The WPSH serves as a major circulation index to predict the response of vegetation to monsoon.

关键词： East Asia monsoon Western Pacific Subtropical High normalized difference vegetation index （NDVI） gross primary productivity （GPP） China

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Towards an actionable One Health approach

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Infectious Diseases of Poverty 2024年第2期13卷 77-82页

作者： Xiao-Xi Zhang Zohar Lederman Le-Fei Han Janna M.Schurer Li-Hua Xiao Zhi-Bing Zhang Qiu-Lan Chen Dirk Pfeiffer Michael P.Ward Banchob Sripa Sarah Gabriël Kuldeep Dhama Krishna Prasad Acharya Lucy J.Robertson Sharon L.Deem Cécile Aenishaenslin Filipe Dantas-Torres Domenico Otranto Delia Grace Yang Wang Peng Li Chao Fu Patrícia Poeta Md.Tanvir Rahman Kokouvi Kassegne Yong-Zhang Zhu Kun Yin Jiming Liu Zhao-Jun Wang Xiao-Kui Guo Wen-Feng Gong Bernhard Schwartländer Ming-Hui Ren Xiao-Nong Zhou School of Global Health Chinese Center for Tropical Diseases ResearchShanghai Jiao Tong University School of MedicineShanghaiPeople’s Republic of China Institute of One Health Shanghai Jiao Tong UniversityShanghaiPeople’s Republic of China Medical Ethics and Humanities Unit Hong Kong UniversityHong KongPeople’s Republic of China Center for One Health University of Global Health EquityButaroRwanda College of Veterinary Medicine South China Agricultural UniversityGuangzhouPeople’s Republic of China School of Ecology and Environment Hainan UniversityHaikouHainanPeople’s Republic of China Branch of animal and vector-borne diseases Division of Infectious Disease ControlChinese Center for Disease Control and PreventionBeijingPeople’s Republic of China Centre for Applied One Health Research and Policy Advice Department of Infectious Diseases and Public HealthJockey Club College of Veterinary Medicine and Life SciencesCity University of Hong KongHong Kong SARPeople’s Republic of China Department of Pathobiology and Population Sciences Royal Veterinary CollegeLondonUnited Kingdom Sydney School of Veterinary Science The University of SydneyCamdenAustralia Tropical Disease Research Center Department of Tropical MedicineFaculty of MedicineKhon Kaen UniversityKhon KaenThailand Laboratory of foodborne parasitic zoonoses Department of translational physiologyinfectiology and public healthChair Faculty Committee on InternationalisationFaculty of Veterinary MedicineGhent UniversityMerelbekeBelgium Division of Pathology ICAR-Indian Veterinary Research Institute(IVRI)BareillyUttar PradeshIndia Department of Livestock Services Animal Quarantine Office-KathmanduBudhanilkanthaKathmanduNepal Parasitology Department of Paraclinical SciencesFaculty of Veterinary MedicineNorwegian University of Life SciencesÅsNorway One Government Drive Saint Louis Zoo Institute for Conservation MedicineSt.LouisUSA Groupe de Recherche enÉpidémiologie des Zoonoses et SantéPublique(GREZOSP) Facultéde médecine v

Background Despite the increasing focus on strengthening One Health capacity building on global level,challenges remain in devising and implementing real-world interventions particularly in the Asia-Pacific *** these gaps,the One Health Action Commission(OHAC)was established as an academic community for One Health action with an emphasis on research agenda setting to identify actions for highest *** text This viewpoint describes the agenda of,and motivation for,the recently formed *** the urgent need for evidence to support the formulation of necessary action plans,OHAC advocates the adoption of both bottom-up and top-down approaches to identify the current gaps in combating zoonoses,antimicrobial resistance,addressing food safety,and to enhance capacity building for context-sensitive One Health *** By promoting broader engagement and connection of multidisciplinary stakeholders,OHAC envisions a collaborative global platform for the generation of innovative One Health knowledge,distilled practical experience and actionable policy advice,guided by strong ethical principles of One Health.

关键词： One Health Global Health One Health Action Commission Research agenda

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Simulating potential yields of Chinese super hybrid rice in Bangladesh,India and Myanmar with EPIC model

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Journal of Geographical Sciences 2018年第7期28卷 1020-1036页

作者：王小博王绍强陈敬华崔惠娟吴宜进 N H Ravindranath Atiq Rahman Key Lab of Ecosystem Network Observation and Modelling Institute of Geographic Sciences and Natural Resources Research CAS University of Chinese Academy of Sciences College of Urban and Environmental Sciences Central China Normal University Centre for Sustainable Technologies India Institute of Science Bangladesh Centre for Advanced Studies

In this study, information is collected on the weather, soils, field management and agricultural statistics in the Bangladesh, India and Myanmar（BIM） region. Crop growth parameters within the EPIC（Environmental Policy Integrated Climate） model are calibrated using cultivar data and regional experimental records of indica hybrid rice Fyou498 and Fengliangyou4 in China. Potential yields of rice are then simulated in the BIM region from 1996 to 2005. The effects of local irrigation and fertilization levels on super hybrid rice yield are examined. The potential yields of Chinese hybrid rice at local irrigation and fertilization levels in 2000 and at full irrigation and rational fertilization levels are found to be 10.22 t/ha and 11.33 t/ha, respectively. The potential for increasing monsoon rice production in the study region is 227.71 million tons. The eastern Indo-Gangetic Plain in India, the southeast coast of India Peninsula and the Ayeyarwady Delta in Myanmar have the largest potentials for monsoon rice production. The northeastern and southwestern areas of the Deccan Plateau and the northwestern region of the Indo-Gangetic Plain need to improve irrigation equipment to meet the water-use requirements of high-yield rice. The central and southern plains in Myanmar and northeastern India need greater access to nitrogen fertilization for high-yield rice.

关键词： super hybrid rice potential productivity yield gap EPIC model Belt and Road Initiative

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Prediction of Aboveground Biomass Applied Artificial Neural network Over Three-Rivers Headwater Regions, Qinghai, China

Prediction of Aboveground Biomass Applied Artificial Neural ...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Junbang Wang Guangxin Lu Wei Cao Shaoqiang Wang Ouanqin Shao Guicai Li ArshadAli Shedayi Jiangwen Fan Key Laboratory of Ecosystem Network Observation and Modeling Chinese Academy of Science Beijing China Department of Grassland Science Qinghai University Xining China China Meteorological Administration National Satellite Meteorological Center Beijing China

The grass yield prediction is essential for the decision-making on grazing optimization and remotely sensed NDVI always used for the monitoring of the actual yield, but cannot for its prediction. The artificial neural networks (ANN) was applied to explore the early NDVI and climate data in winter-spring aiming to predict AGB as annual grass yield in the Three-Rivers Headwater Region. The predictor was assessed against the on-ground observations, which showed that the ANN had a better training and validating results with an R 2 of 0.75 and 0.84 respectively, but a lower test result of the R 2 of 0.31. However, the modelled AGB could well explain the observed values ( , and n=963), which indicated the ANN model had the good overall performance. This study provided a fundamental data for livestock management in early stage and the parameters optimization of ecosystem process model on the pixel scale.

关键词： Mathematical model Predictive models Meteorology Artificial neural networks Training Biological system modeling Data models

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