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Overlooked uneven progress across sustainable development goals at the global scale: Challenges and opportunities

The Innovation 2024年第2期5卷 42-50页

作者： Yali Liu Jianqing Du Yanfen Wang Xiaoyong Cui Jichang Dong Pan Gu Yanbin Hao Kai Xue Hongbo Duan Anquan Xia Yi Hu Zhi Dong bingfang wu Jüurgen P.Kropp Bojie Fu School of Grassland Science Beijing Forestry UniversityBeijing 100083China Beijing Yanshan Earth Critical Zone National Research Station University of Chinese Academy of SciencesBeijing 101408China College of Resources and Environment University of Chinese Academy of SciencesBeijing 100049China State Key Laboratory of Tibetan Plateau Earth System Environment and ResourcesChinese Academy of SciencesBeijing 100101China College of Life Sciences University of Chinese Academy of SciencesBeijing 100049China School of Economics and Management University of Chinese Academy of SciencesBeijing 100190China School of Humanities University of Chinese Academy of SciencesBeijing 100049China Key Laboratory of Adaptation and Evolution of Plateau Biota Northwest Institute of Plateau BiologyChinese Academy of SciencesXining 810001China School of Innovation and Entrepreneurship University of Chinese Academy of SciencesBeijing 100190China State Key Laboratory of Remote Sensing Science Aerospace Information Research InstituteChinese Academy of SciencesBeijing 100101China Potsdam Institute for Climate Impact Research 14412 PotsdamGermany Institute for Environmental Science and Geography University of Potsdam14412 PotsdamGermany State Key Laboratory of Urban and Regional Ecology Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China

Differences in progress across sustainable development goals(SDGs)are widespread globally;meanwhile,the rising call for prioritizing specific SDGs may exacerbate such gaps.Nevertheless,how these progress differences would influence global sustainable development has been long neglected.Here,we present the first quantitative assessment of SDGs’progress differences globally by adopting the SDGs progress evenness index.Our results highlight that the uneven progress across SDGs has been a hindrance to sustainable development because(1)it is strongly associated with many public health risks(e.g.,air pollution),social inequalities(e.g.,gender inequality,modern slavery,wealth gap),and a reduction in life expectancy;(2)it is also associated with deforestation and habitat loss in terrestrial and marine ecosystems,increasing the challenges related to biodiversity conservation;(3)most countries with low average SDGs performance show lower progress evenness,which further hinders their fulfillment of SDGs;and(4)many countries with high average SDGs performance also showcase stagnation or even retrogression in progress evenness,which is partly ascribed to the antagonism between climate actions and other goals.These findings highlight that while setting SDGs priorities may be more realistic under the constraints of multiple global stressors,caution must be exercised to avoid new problems from intensifying uneven progress across goals.Moreover,our study reveals that the urgent needs regarding SDGs of different regions seem complementary,emphasizing that regional collaborations(e.g.,demand-oriented carbon trading between SDGs poorly performed and well-performed countries)may promote sustainable development achievements at the global scale.

关键词： globally priori inequality

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Constructing a 30m African Cropland Layer for 2016 by Integrating Multiple Remote sensing,crowdsourced,and Auxiliary Datasets

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Big Earth Data 2022年第1期6卷 54-76页

作者： Mohsen Nabil Miao Zhang bingfang wu Jose Bofana Abdelrazek Elnashar State Key Laboratory of Remote Sensing Science Aerospace Information Research InstituteChinese Academy of Sciences(AIRCAS)BeijingChina College of Resources and Environment University of Chinese Academy of Sciences(UCAS)BeijingChina Division of Agriculture Applications Soilsand Marine(AASMD)National Authority for Remote Sensing&Space Sciences(NARSS)CairoEgypt Faculty of Agricultural Sciences Catholic University of MozambiqueCuambaMozambique Department of Natural Resources Faculty of African Postgraduate StudiesCairo UniversityGizaEgypt

Despite its essential importance to various spatial agriculture and environmental applications,the information on actual cropland area and its geographical distribution remain highly uncertain over Africa among remote-sensing products.Each of the African regions has its unique physical and environmental limiting factors to accurate cropland mapping,which leads to high spatial discre-pancies among remote sensing cropland products.Since no dataset could cope with all limitations,multiple datasets initially derived from various remote sensing sensors and classification techniques must be integrated into a more accurate cropland product than individual layers.Here,in the current study,four cropland products,produced initially from multiple sensors(e.g.Landsat-8 OLI,Sentinel-2 MSI,and PROBA-V)to cover the period(2015-2017),were integrated based on their cropland mapping accuracy to build a more accurate cropland layer.The four cropland layers’accuracy was assessed at Agro-ecological zones units via an inten-sive reference dataset(17,592 samples).The most accurate crop-land layer was then identified for each zone to construct the final cropland mask at 30 m resolution for the nominal year of 2016 over Africa.As a result,the new layer was produced in higher cropland mapping accuracy(overall accuracy=91.64%and cropland’s F-score=0.75).The layer mapped the African cropland area as 282 Mha(9.38%of the Continent area).Compared to earlier crop-land synergy layers,the constructed cropland mask showed a considerable improvement in its spatial resolution(30 m instead of 250 m),mapping quality,and closeness to official statistics(R^(2)=0.853 and RMSE=2.85 Mha).The final layer can be down-loaded as described under the“Data Availability Statement”section.

关键词： Cropland mapping synergy mapping land cover accuracy assessment multisource data fusion

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Coupling remote sensing and crop growth model to estimate national wheat yield in Ethiopia

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Big Earth Data 2022年第1期6卷 18-35页

作者： Awetahegn Niguse Beyene Hongwei Zeng bingfang wu Liang Zhu Tesfay Gebretsadkan Gebremicael Miao Zhang Temesgen Bezabh State Key Laboratory of Remote Sensing Science Aerospace Information Research InstituteChinese Academy of SciencesBeijingChina College of Resources and Environment University of Chinese Academy of SciencesBeijingChina Tigray Agricultural Research Institute MekelleEthiopia Climate Change and Rural Development Mekelle UniversityMekelleEthiopia

Estimation of crop yield at a regional level is essential for making agricultural planning and addressing food security issues in Ethiopia.Remote sensing observations,particularly the leaf area index(LAI),have a strong relationship with crop yield.This study has proposed an approach to estimate wheat yield at field level and regional scale in Ethiopia by assimilating the retrieved MODIS time-series LAI data into the WOrld FOod STudies(WOFOST)model.To improve the estimation of crop yield in the region,the Ensemble Kalman Filter(EnKF)was used to incorporate the LAI into the WOFOST model.The estimation accuracy of wheat crop yield was validated using field-measured yields collected during the 2018 growing season.Our findings indicated that wheat yield was more precisely estimated by WOFOST(at water-limited mode)with EnKF algorithm(R^(2)=0.80 and RMSE=413 kg ha^(−1))compared to that of without assimilating remotely sensed LAI(R^(2)=0.58,RMSE=592 kg ha^(−1)).These results demonstrated that assimilating MODIS-LAI into WOFOST has high potential and practicality to give a reference for wheat yield estimation.The findings from this study can provide information to policy,decision-makers,and other similar sectors to implement an appropriate and timely yield estimation measure.

关键词： Wheat yield WOFOST model Ensemble Kalman Filter remote sensing

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Detecting the linkage between arable land use and poverty using machine learning methods at global perspective

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Geography and Sustainability 2022年第1期3卷 7-20页

作者： Fuyou Tian bingfang wu Hongwei Zeng Gary R Watmough Miao Zhang Yurui Li State Key Laboratory of Remote Sensing Science Aerospace Information Research InstituteChinese Academy of SciencesBeijing 100101China University of Chinese Academy of Sciences Beijing 100049China School of Geosciences University of EdinburghEH89XP EdinburghUnited Kingdom Institute of Geographic Sciences and Natural Resources Research Chinese Academy of SciencesBeijing 100101China Key Laboratory of Regional Sustainable Development Modelling Chinese Academy of SciencesBeijing 100101China

Eradicating extreme poverty is one of the UN’s primary sustainable development goals(SDG).Arable land is related to eradicating poverty(SDG1)and hunger(SDG2).However,the linkage between arable land use and poverty reduction is ambiguous and has seldom been investigated globally.Six indicators of agricultural inputs,crop intensification and extensification were used to explore the relationship between arable land use and poverty.Non-parametric machine learning methods were used to analyze the linkage between agriculture and poverty at the global scale,including the classification and regression tree(CART)and random forest models.We found that the yield gap,fertilizer consumption and potential cropland ratio in protected areas correlated with poverty.Developing countries usually had a ratio of actual to potential yield less than 0.33 and fertilizer consumption less than 7.31 kg/ha.Overall,crop extensification,intensification and agricultural inputs were related to poverty at the global level.

关键词： Arable land use Poverty Machine learning Yield gap Random forest

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Challenges and opportunities in remote sensing-based crop monitoring: a review

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National Science Review 2023年第4期10卷 203-219页

作者： bingfang wu Miao Zhang Hongwei Zeng Fuyou Tian Andries B Potgieter Xingli Qin Nana Yan Sheng Chang Yan Zhao Qinghan Dong Vijendra Boken Dmitry Plotnikov Huadong Guo Fangming wu Hang Zhao Bart Deronde Laurent Tits Evgeny Loupian State Key Laboratory of Remote Sensing Science Aerospace Information Research Institute Chinese Academy of Sciences School of Resources and Environment University of Chinese Academy of Sciences Executive Committee of Group on Earth Observations Global Agricultural Monitoring (GEOGLAM) Queensland Alliance for Agriculture and Food Innovation The University of Queensland Department of Remote Sensing Flemish Institute of Technological Research Department of Geography and Earth Science University of Nebraska-Kearney Department of Satellite Monitoring Technologies Space Research Institute of Russian Academy of Sciences

Building a more resilient food system for sustainable development and reducing uncertainty in global food markets both require concurrent and near-real-time and reliable crop information for decision making.Satellite-driven crop monitoring has become a main method to derive crop information at local, regional,and global scales by revealing the spatial and temporal dimensions of crop growth status and production.However, there is a lack of quantitative, objective, and robust methods to ensure the reliability of crop information, which reduces the applicability of crop monitoring and leads to uncertain and undesirable consequences. In this paper, we review recent progress in crop monitoring and identify the challenges and opportunities in future efforts. We find that satellite-derived metrics do not fully capture determinants of crop production and do not quantitatively interpret crop growth status; the later can be advanced by integrating effective satellite-derived metrics and new onboard sensors. We have identified that ground data accessibility and the negative effects of knowledge-based analyses are two essential issues in crop monitoring that reduce the applicability of crop monitoring for decisions on food security. Crowdsourcing is one solution to overcome the restrictions of ground-truth data accessibility. We argue that user participation in the complete process of crop monitoring could improve the reliability of crop information.Encouraging users to obtain crop information from multiple sources could prevent unconscious biases.Finally, there is a need to avoid conflicts of interest in publishing publicly available crop information.

关键词： crop monitoring crop condition crop production Ground data Remote Sensing

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Generation of high spatial and temporal resolution NDVI and its application in crop biomass estimation

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International Journal of Digital Earth 2013年第3期6卷 203-218页

作者： Jihua Meng Xin Du bingfang wu Institute of Remote Sensing Applications Chinese Academy of SciencesBeijingChina

While data like HJ-1 CCD images have advantageous spatial characteristics for describing crop properties,the temporal resolution of the data is rather low,which can be easily made worse by cloud contamination.In contrast,although Moderate Resolution Imaging Spectroradiometer(MODIS)can only achieve a spatial resolution of 250 m in its normalised difference vegetation index(NDVI)product,it has a high temporal resolution,covering the Earth up to multiple times per day.To combine the high spatial resolution and high temporal resolution of different data sources,a new method(Spatial and Temporal Adaptive Vegetation index Fusion Model[STAVFM])for blending NDVI of different spatial and temporal resolutions to produce high spatialtemporal resolution NDVI datasets was developed based on Spatial and Temporal Adaptive Reflectance Fusion Model(STARFM).STAVFM defines a time window according to the temporal variation of crops,takes crop phenophase into consideration and improves the temporal weighting algorithm.The result showed that the new method can combine the temporal information of MODIS NDVI and spatial difference information of HJ-1 CCD NDVI to generate an NDVI dataset with both high spatial and high temporal resolution.An application of the generated NDVI dataset in crop biomass estimation was provided.An average absolute error of 17.2%was achieved.The estimated winter wheat biomass correlated well with observed biomass(R^(2) of 0.876).We conclude that the new dataset will improve the application of crop biomass estimation by describing the crop biomass accumulation in detail.There is potential to apply the approach in many other studies,including crop production estimation,crop growth monitoring and agricultural ecosystem carbon cycle research,which will contribute to the implementation of Digital Earth by describing land surface processes in detail.

关键词： high spatial and temporal resolution NDVI crop biomass Digital Earth data fusion

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Cobalt doping amount determines dominant reactive species in peroxymonosulfate activation via porous carbon catalysts co-doped by cobalt and nitrogen

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Journal of Environmental Sciences 2024年第4期138卷 212-226页

作者： Xiang Li Limeng wu Aiqin Zhang Shaohua wu Yan Lin Chunping Yang Key Laboratory of Jiangxi Province for Persistent Pollutants Control and Resources Recycle Nanchang Hangkong UniversityNanchang 330063China Academy of Environmental and Resource Sciences School of Environmental Science and EngineeringGuangdong University of Petrochemical TechnologyMaoming 525000China College of Environmental Science and Engineering Hunan University and Key Laboratory of Environmental Biology and Pollution Control(Hunan University)Ministry of EducationChangsha 410082China

Switching the reaction routes in peroxymonosulfate(PMS)-based advanced oxidation processes have attracted much attention but remain challenging.Herein,a series of Co-N/C catalysts with different compositions and structures were prepared by using bimetallic zeolitic imidazolate frameworks based on ZIF-8 and ZIF-67(x Zn/Co-ZIFs).Results show that Co doping amount could mediate the transformation of the activation pathway of PMS over CoN/C.When Co doping amount was less than 10%,the constructed x Co-N/C/PMS system(x≤10%)was singlet oxygen-dominated reaction;however further increasing Co doping amount would lead to the generation and coexistence of sulfate radicals and high-valent cobalt,besides singlet oxygen.Furthermore,the nitrogen-coordinated Co(Co-NX)sites could serve as main catalytically active sites to generate singlet oxygen.While excess Co doping amount caused the formation of Co nanoparticles from which leached Co ions were responsible for the generation of sulfate radicals and high-valent cobalt.Compared to undoped N/C,Co doping could significantly enhance the catalytic performance.The 0.5%Co-N/C could achieve the optimum degradation(0.488 min^(-1))and mineralization abilities(78.4%)of sulfamethoxazole among the investigated Co-N/C catalysts,which was superior to most of previously reported catalysts.In addition,the application prospects of the two systems in different environmental scenarios(pH,inorganic anions and natural organic matter)were assessed and showed different degradation behaviors.This study provides a strategy to regulate the reactive species in PMS-based advanced oxidation process.

关键词： Peroxymonosulfate Sulfate radical Singlet oxygen Cobalt Zeolitic imidazolate framework Advanced oxidation process

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The physiological role of the unfolded protein response in the nervous system

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Neural Regeneration Research 2024年第11期19卷 2411-2420页

作者： Shuangchan wu Wensheng Lin Department of Neuroscience University of MinnesotaMinneapolisMNUSA Institute for Translational Neuroscience University of MinnesotaMinneapolisMNUSA

The unfolded protein response(UPR)is a cellular stress response pathway activated when the endoplasmic reticulum,a crucial organelle for protein folding and modification,encounters an accumulation of unfolded or misfolded proteins.The UPR aims to restore endoplasmic reticulum homeostasis by enhancing protein folding capacity,reducing protein biosynthesis,and promoting protein degradation.It also plays a pivotal role in coordinating signaling cascades to determine cell fate and function in response to endoplasmic reticulum stress.Recent research has highlighted the significance of the UPR not only in maintaining endoplasmic reticulum homeostasis but also in influencing various physiological processes in the nervous system.Here,we provide an overview of recent findings that underscore the UPR’s involvement in preserving the function and viability of neuronal and myelinating cells under physiological conditions,and highlight the critical role of the UPR in brain development,memory storage,retinal cone development,myelination,and maintenance of myelin thickness.

关键词： myelin neuron oligodendrocyte Schwann cell unfolded protein response

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LONP1 ameliorates liver injury and improves gluconeogenesis dysfunction in acute-on-chronic liver failure

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Chinese Medical Journal 2024年第2期137卷 190-199页

作者： Muchen wu Jing wu Kai Liu Minjie Jiang Fang Xie Xuehong Yin Jushan wu Qinghua Meng Department of Liver Disease Beijing You-An HospitalCapital Medical UniversityBeijing 100069China Beijing Institute of Hepatology Beijing You-An HospitalCapital Medical UniversityBeijing 100069China Department of General Surgery Beijing You-An HospitalCapital Medical UniversityBeijing 100069China

Background:Acute-on-chronic liver failure(ACLF)is a severe liver disease with complex pathogenesis.Clinical hypoglycemia is common in patients with ACLF and often predicts a worse prognosis.Accumulating evidence suggests that glucose metabolic disturbance,especially gluconeogenesis dysfunction,plays a critical role in the disease progression of ACLF.Lon protease-1(LONP1)is a novel mediator of energy and glucose metabolism.However,whether gluconeogenesis is a potential mechanism through which LONP1 modulates ACLF remains unknown.Methods:In this study,we collected liver tissues from ACLF patients,established an ACLF mouse model with carbon tetrachloride(CCl 4),lipopolysaccharide(LPS),and D-galactose(D-gal),and constructed an in vitro hypoxia and hyperammonemia-triggered hepatocyte injury model.LONP1 overexpression and knockdown adenovirus were used to assess the protective effect of LONP1 on liver injury and gluconeogenesis regulation.Liver histopathology,biochemical index,mitochondrial morphology,cell viability and apoptosis,and the expression and activity of key gluconeogenic enzymes were detected to explore the underlying protective mechanisms of LONP1 in ACLF.Results:We found that LONP1 and the expressions of gluconeogenic enzymes were downregulated in clinical ACLF liver tissues.Furthermore,LONP1 overexpression remarkably attenuated liver injury,which was characterized by improved liver histopathological lesions and decreased serum alanine aminotransferase(ALT)and aspartate aminotransferase(AST)in ACLF mice.Moreover,mitochondrial morphology was improved upon overexpression of LONP1.Meanwhile,the expression and activity of the key gluconeogenic enzymes were restored by LONP1 overexpression.Similarly,the hepatoprotective effect was also observed in the hepatocyte injury model,as evidenced by improved cell viability,reduced cell apoptosis,and improved gluconeogenesis level and activity,while LONP1 knockdown worsened liver injury and gluconeogenesis disorders.Conclusion:We demonstrated that gluconeogenesis dysfunc

关键词： Acute-on-chronic liver failure Lon protease-1 Gluconeogenesis disturbance Mitochondrial dysfunction Metabolism

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Ballistic performances of the hourglass lattice sandwich structures under high-velocity fragments

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Defence Technology（防务技术） 2024年第1期31卷 312-325页

作者： He-xiang wu Jia Qu Lin-zhi wu Key Laboratory of Advanced Ship Materials and Mechanics College of Aerospace and Civil EngineeringHarbin Engineering UniversityHarbin150001China School of Civil Engineering Northeast Forestry UniversityHarbin150040China

In this paper,the numerical simulation method is used to study the ballistic performances of hourglass lattice sandwich structures with the same mass under the vertical incidence of fragments.Attention is paid to elucidating the influences of rod cross-section dimensions,structure height,structure layer,and rod inclination angle on the deformation mode,ballistic performances,and ability to change the ballistic direction of fragments.The results show that the ballistic performances of hourglass lattice sandwich structures are mainly affected by their structural parameters.In this respect,structural parameters optimization of the hourglass lattice sandwich structures enable one to effectively improve their ballistic limit velocity and,consequently,ballistic performances.

关键词： Hourglass lattice sandwich structures Ballistic performances high-velocity Finite element analysis

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