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Response of global agricultural productivity anomalies to drought stress in irrigated and rainfed agriculture

Science China Earth Sciences 2024年

作者： Xinxin CHEN lunche wang Qian CAO Jia SUN Zigeng NIU Liu YANG Weixia JIANG Hubei Key Laboratory of Regional Ecology and Environmental Change School of Geography and Information EngineeringChina University of Geosciences State Key Laboratory of Biogeology and Environmental Geology China University of Geosciences

The response of agricultural productivity anomalies to drought stress plays a crucial role in the carbon cycle within terrestrial ecosystems and in ensuring food security. However, detailed analysis of how global agricultural productivity anomalies response to drought stress, particularly within irrigated and rainfed agricultural systems, remains insufficient. In this study, the impact of drought stress on agricultural productivity anomalies during the growing season（zcNDVIS）, across both irrigated and rainfed agriculture, were analyzed using a suite of hydro-climatic variables. Specifically, the investigation utilized the multi-scalar Standardized Precipitation Evapotranspiration Index（SPEI）, the Multivariate ENSO Index（MEI）, and the Madden-Julian Oscillation（MJO）. Meanwhile, the relationships between hydroclimatic variables and zcNDVISwere analyzed at one, two, three and four months before the ending of growing season（EOS）. Results showed that（1） the percentages of significant（p<0.1） drying trends varied across the globe from 8.30% to 13.42%, 6.50% to 14.63%, 6.52% to 14.23%, and 6.47%to 14.95% at one-, two-, three-, and four-month lead times before EOS, respectively, during 2001–2020, which represented by the multiscalar SPEI. This observation highlights that most regions across the globe tend to be arid, which could significantly impact agricultural productivity;（2） the global mean correlation coefficients（rmax） for SPEI-1, SPEI-3, SPEI-6, SPEI-12（indicating SPEI at 1-, 3-, 6-, and 12-month lags）, MEI, and MJO with zcNDVISranged between 0.24–0.25, 0.27–0.28, 0.25–0.26, 0.21–0.22, –0.02–0.01 and 0.06–0.11, respectively, across both irrigated and rainfed agriculture system from 2001 to *** productivity anomalies demonstrated a significant correlation with drought stress. The strongest correlations were noted for SPEI-3 and SPEI-6, suggesting a delayed response of crops to drought conditions. This indicates that agriculture ecosystem experiences prolo

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Global DEMs vary from one to another:an evaluation of newly released Copernicus,NASA and AW3D30 DEM on selected terrains of China using ICESat-2 altimetry data

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International Journal of Digital Earth 2022年第1期15卷 1149-1168页

作者： Hui Li Jiayang Zhao Bingqi Yan Linwei Yue lunche wang Hunan Key Laboratory of Remote Sensing of Ecological Environment in Dongting Lake Area School of Geography and Information EngineeringChina University of GeosciencesWuhanPeople’s Republic of China Key Laboratory of Regional Ecology and Environmental Change School of Geography and Information EngineeringChina University of GeosciencesWuhanPeople’s Republic of China Hubei Key Laboratory of Critical Zone Evolution School of Geography and Information EngineeringChina University of GeosciencesWuhanPeople’s Republic of China

A good understanding of the quality of digital elevation model(DEM)is a perquisite for various *** study investigates the accuracy of three most recently released 1-arcsec global DEMs(GDEMs,Copernicus,NASA and AW3D30)in five selected terrains of China,using more than 240,000 high-quality ICESat-2(Ice,Cloud and land Elevation Satellite)ALT08 *** results indicate the three GDEMs have similar overall vertical accuracy,with RMSE of 6.73(Copernicus),6.59(NASA)and 6.63 m(AW3D30).While the accuracy varies considerably over study areas and among *** results show a clear correlation between the accuracy and terrain slopes,and some relationship between the accuracy and land *** analysis reveals the land cover exerts a greater impact on the accuracy than that of the terrain slope for the study *** inspections of terrain representation indicate Copernicus DEM exhibits the greatest detail of terrain,followed by AW3D30,and then by *** study has demonstrated that ICESat-2 altimetry offers an important tool for DEM *** findings provide a timely and comprehensive understanding of the quality of newly released GDEMs,which are informative for the selection of suitable DEMs,and for the improvement of GDEM in future studies.

关键词： Copernicus DEM NASADEM AW3D30 DEM vertical accuracy terrain representation ICESat-2 altimetry

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Leaf pigment retrieval using the PROSAIL model: Influence of uncertainty in prior canopy-structure information

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The Crop Journal 2022年第5期10卷 1251-1263页

作者： Jia Sun lunche wang Shuo Shi Zhenhai Li Jian Yang Wei Gong Shaoqiang wang Torbern Tagesson Key Laboratory of Regional Ecology and Environmental Change School of Geography and Information EngineeringChina University of GeoscienceWuhan 430079HubeiChina Department of Physical Geography and Ecosystem Science Lund UniversityLund 117 SE-22100Sweden State Key Laboratory of Information Engineering in Surveying Mappingand Remote SensingWuhan UniversityWuhan 430079HubeiChina Key Laboratory of Quantitative Remote Sensing in Ministry of Agriculture and Rural Affairs Beijing Research Center for Information Technology in AgricultureBeijing 100097China Department of Geosciences and Natural Resource Management University of CopenhagenCopenhagen 1172Denmark

Leaf pigments are critical indicators of plant photosynthesis,stress,and physiological *** of radiative transfer models(RTMs)is a promising method for robustly retrieving leaf biochem-ical traits from canopy observations,and adding prior information has been effective in alleviating the“ill-posed”problem,a major challenge in model *** structure parameters,such as leaf area index(LAI)and average leaf inclination angle(ALA),can serve as prior information for leaf pigment *** canopy spectra simulated from the PROSAIL model,we estimated the effects of uncertainty in LAI and ALA used as prior information for lookup table-based inversions of leaf chlorophyll(C _(ab))and car-otenoid(C_(ar)).The retrieval accuracies of the two pigments were increased by use of the priors of LAI(RMSE of C_(ab) from 7.67 to 6.32μg cm^(-2),C_(ar) from 2.41 to 2.28μg cm^(-2))and ALA(RMSE of C_(ab) from 7.67 to 5.72μg cm^(-2),C_(ar) from 2.41 to 2.23μg cm^(-2)).However,this improvement deteriorated with an increase of additive and multiplicative uncertainties,and when 40% and 20% noise was added to LAI and ALA respectively,these priors ceased to increase retrieval *** using an experimental winter wheat dataset also showed that compared with C_(ar),the estimation accuracy of C_(ab) increased more or deteriorated less with uncertainty in prior canopy *** study demonstrates possible limita-tions of using prior information in RTM inversions for retrieval of leaf biochemistry,when large uncer-tainties are present.

关键词： Leaf pigment PROSAIL model Canopy structure Chlorophyll content Leaf area index Leaf angle distribution

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A new vegetation index combination for leaf carotenoid-tochlorophyll ratio: minimizing the effect of their correlation

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International Journal of Digital Earth 2023年第1期16卷 272-288页

作者： Chunmei He Jia Sun Yuwen Chen lunche wang Shuo Shi Feng Qiu Shaoqiang wang Torbern Tagesson Hubei Key Laboratory of Regional Ecology and Environmental Change School of Geography and Information EngineeringChina University of GeosciencesWuhanPeople’s Republic of China Department of Physical Geography and Ecosystem Science Lund UniversityLundSweden State Key Laboratory of Information Engineering in Surveying Mappingand Remote SensingWuhan UniversityWuhanPeople’s Republic of China International Institute for Earth System Science Jiangsu Provincial Key Laboratory of Geographic Information Science and TechnologyNanjing UniversityNanjingPeople’s Republic of China Department of Geosciences and Natural Resource Management University of CopenhagenCopenhagenDenmark

The ratio of leaf carotenoid to chlorophyll(Car/Chl)is an indicator of vegetation photosynthesis,development and responses to ***,the correlation between Car and Chl,and their overlapping absorption in the visible spectral domain pose a challenge for optical remote sensing of their *** study aims to investigate combinations of vegetation indices(VIs)to minimize the influence of Car-Chl correlation,thus being more sensitive to the variability in the ratio across vegetation species and *** sensitive to Car and Chl variability were combined into four candidates of combinations,using a simulated dataset from the PROSPECT *** VI combinations were then tested using six simulated datasets with different Car-Chl correlations,and evaluated against four independent *** ratio of the carotenoid triangle ratio index(CTRI)with the red-edge chlorophyll index(CIred-edge)was found least influenced by the Car-Chl correlation and demonstrated a superior ability for estimating Car/Chl *** with published VIs and two machine learning algorithms,CTRI/CIred-edge also showed the optimal performance in the fourfield *** new VI combination could be useful to provide insights in spatiotemporal variability in the leaf Car/Chl ratio,applicable for assessing vegetation physiology,phenology,and response to environmental stress.

关键词： Leaf carotenoids content leaf chlorophyll content PROSPECT model ratio of Car to Chl vegetation index

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Analysis of Atmospheric Turbidity in Clear Skies at Wuhan,Central China

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Journal of Earth Science 2017年第4期28卷 729-738页

作者： lunche wang Yisen Chen Ying Niu German Ariel Salaza Wei Gong Department of Geography School of Earth SciencesChina University of GeosciencesWuhan 430074China Physics Department School of Exact SciencesSalta National UniversitySalta A4408FVYArgentina State Key Laboratory of Information Engineering in Surveying Mapping and Remote SensingWuhan UniversityWuhan 430079China

The Angstr6m turbidity coefficient （β） and Linke turbidity factor （TL） are used to study the atmospheric conditions in Wuhan, Central China, using measureβd direct solar radiation during 2010-2011 in this study. The results show that annual mean β values generally increase from 0.28 in the morning to 0.35 at noon, and then decrease to 0.1 in the late afternoon during the day; annual mean TL generally varies from 3 to 7 in Central China. Both turbidity coefficients have maximum values in spring and summer, while minimum values are observed in winter months. It also reveals that β values show preponderance （52.8%） between 0.15 and 0.35, 78.1% of TL values are between 3.3 and 7.7, which can be compared with other sites around the world. Relationship between turbidity coefficients and main me- teorological parameters （humidity, temperature and wind direction） have been further investigated, it is discovered that the local aerosol concentrations, dust events in northern China and Southwest Monsoon from the Indian Ocean influences the β values in the study area.

关键词： direct solar radiation AngstrOm turbidity coefficient Linke turbidity factor Central China.

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A detailed comparison of MYD11 and MYD21 land surface temperature products in China's Mainland

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International Journal of Digital Earth 2020年第12期13卷 1391-1407页

作者： Rui Yao lunche wang Shaoqiang wang Lizhe wang Jing Wei Junli Li Deqing Yu Hunan Key Laboratory of Remote Sensing of Ecological Environment in Dongting Lake Area School of Geography and Information EngineeringChina University of GeosciencesWuhanPeople’s Republic of China Hubei Key Laboratory of Critical Zone Evolution School of Geography and Information EngineeringChina University of GeosciencesWuhanPeople’s Republic of China Faculty of Computer Science China University of GeosciencesWuhanPeople’s Republic of China Hubei Key Laboratory of Intelligent Geo-Information Processing China University of GeosciencesWuhanPeople’s Republic of China State Key Laboratory of Remote Sensing Science College of Global Change and Earth System ScienceBeijing Normal UniversityBeijingPeople’s Republic of China Department of Atmospheric and Oceanic Science Earth System Science Interdisciplinary CenterUniversity of MarylandCollege ParkMDUSA School of Resources and Environment Anhui Agricultural UniversityHefeiAnhuiPeople’s Republic of China Hunan Key Laboratory of remote sensing of ecological environment in Dongting Lake Area Hunan Natural Resources Affairs CenterChangshaPeople’s Republic of China

Land surface temperature(LST)is a key parameter in land surface *** National Aeronautics and Space Administration(NASA)recently released new Moderate Resolution Imaging Spectroradiometer(MODIS)LST products(MOD21 and MYD21).Here,we conducted a detailed comparison between the MYD11 and MYD21 LST data in China's *** LSTs of MYD21 were approximately 1℃ higher than those of MYD11 averaged for China's Mainland,as MYD21 corrected the cold bias of *** proportions of the valid value of MYD21 were generally lower than those of MYD11 because the cloud removal method of MYD21 was stricter than that of ***,the outliers were less significant in MYD11 than in MYD21 because the outliers in MYD11 were removed using temporal constraints on *** outliers in MYD21A2 resulted in a difference of greater than 3℃ in average seasonal surface urban heat island intensity(SUHII)between MYD11A2 and ***,using MYD11 may underestimate the slope of long-term trends of ***21 LST data may have some uncertainties in urban *** study provided a reference for users for selecting LST products and for data producers to further improve MODIS LST products.

关键词： Remote sensing land surface temperature data comparison surface urban heat island China's Mainland

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Evaluation of satellite land surface albedo products over China using ground-measurements

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International Journal of Digital Earth 2021年第11期14卷 1493-1513页

作者： Yunbo Lu lunche wang Bo Hu Ming Zhang Wenmin Qin Jiaojiao Zhou Minghui Tao Key Laboratory of Regional Ecology and Environmental Change School of Geography and Information EngineeringChina University of GeosciencesWuhanPeople’s Republic of China Hunan Key Laboratory of Remote Sensing of Ecological Environment in Dongting Lake Area School of Geography and Information EngineeringChina University of GeosciencesWuhanPeople’s Republic of China State Key Laboratory of Atmospheric Boundary Physics and Atmospheric Chemistry Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingPeople’s Republic of China

Land surface albedo(LSA)is an important parameter in surface energy balance and global climate *** has been used in the fields of energy budgets,climate dynamics,and land surface *** apply satellite LSA products more widely,the product accuracy needs to be evaluated at different scales and under atmospheric and surface *** study validates and analyzes the errors of the LSA datasets from the Global LAnd Surface Satellites(GLASS)product,the European Space Agency’s Earth Observation Envelope Programme(GlobAlbedo),the Quality Assurance for Essential Climate Variables(QA4ECV)project,the Gap-filled Snow-free Bidirectional Reflectance Distribution Function(BRDF)parameters product(MCD43GF),and the Satellite Application Facility on Climate Monitoring(CM SAF)Albedo dataset from the AVHRR data(CLARA-SAL)against the Chinese Ecosystem Research Network(CERN)measurements at different spatiotemporal scales over China from 2005 to *** results show that LSA estimated by GLASS agrees well with the CERN measurements on a continental *** GLASS product is characterized by a correlation coefficient of 0.80,a root-mean-square error of 0.09,and a mean absolute error of *** consistency between GLASS,GlobAlbedo,and CLARA-SAL is slightly lower over the regions with high aerosol optical depth(AOD)(*** Basin,northern China)and high cloud cover compared with that in regions with lower AOD and low cloud *** estimation errors are related to varying atmospheric and surface conditions and increase with increasing AOD and cloud cover and decreasing enhanced vegetation ***,algorithms under complex atmospheric and surface conditions(*** AOD,sparse vegetation)should be optimized to improve the accuracy of LSA products.

关键词： Land surface albedo satellite products validation atmospheric factor spatial pattern

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Variation of water body in Dongting Lake from in situ measurements and MODIS observations in recent decades

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International Journal of Digital Earth 2021年第8期14卷 959-984页

作者： Liu Yang lunche wang Ming Zhang Zigeng Niu Rui Yao Deqing Yu Chang’an Li Qiuhua He Hunan Key Laboratory of Remote Sensing of Ecological Environment in Dongting Lake Area School of Geography and Information EngineeringChina University of GeosciencesWuhanPeople’s Republic of China Key Laboratory of Regional Ecology and Environmental Change School of Geography and Information EngineeringChina University of GeosciencesWuhanPeople’s Republic of China Hubei Key Laboratory of Critical Zone Evolution School of Geography and Information EngineeringChina University of GeosciencesWuhanPeople’s Republic of China Hunan Key Laboratory of Remote Sensing of Ecological Environment in Dongting Lake Area Hunan Natural Resources Affairs CenterChangshaPeople’s Republic of China

Identifying the spatiotemporal dynamics of the water body in Dongting Lake,the second largest freshwater lake in China,is crucial for water resource *** this study,the variations of the water body were comprehensively analyzed based on remote sensing images and in situ measurements from 2000 to *** breakpoint detection approaches were integrated to analyze the change trends and explore the related driving forces behind the *** results showed that significant intra-and inter-annual fluctuations of the water body were found from 2000 to *** water area and volume decreased at rates of 1.26 km^(2)/a and 16.65×10^(6)m^(3)/a,*** the entire study period,the outflow at Chenglingji station(CLJ),the inflow from three outlets of the Yangtze River(Inflow2),and the inundation conditions during the last period(Arealag)made the largest relative contributions to the water area variation(around 25%,27%and 24%,respectively).A breakpoint was detected around 2004,corresponding to the operation period of the Three Gorges Dam(TGD).The regulation of TGD profoundly affected the hydrological characteristics at the three outlets and CLJ,and may have indirectly caused the water area to expand by 2.41 km^(2)/a during the dry seasons between 2004 and *** results provide valuable insight into how natural and anthropogenic factors affect water body variation and may offer a practical reference for the local government to adjust management strategies.

关键词： Dongting Lake dynamic changes driving factors Three Gorges Dam MODIS

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Effects of Atmospheric Pollutants on Agricultural Crop Yield in China

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Journal of Earth Science 2020年

作者： lunche wang Yisen Chen Xinzhong Liang Ramesh P.Singh Xinxin Chen Hubei Key Laboratory of Critical Zone Evolution School of Geography and Information Engineering China University of Geosciences Department of Atmospheric and Oceanic Science University of Maryland College Park Earth System Science Interdisciplinary Center University of Maryland College Park School of Life and Environmental Sciences Schmid College of Science and Technology Chapman University One University Drive

Recent studies have shown decline in crop production due to changes in climate associated with the increasing greenhouse emissions. It is difficult to reduce the emissions in a short period of time, however, the short-lived climate pollutants (SLCPs) are more likely to be controlled. In present study, a statistical panel model was established to investigate the national-level effects of SLCPs on five crops (early-, middle-late-season rice, spring wheat, and winter wheat) in China. Observed national yields during 1980-2009 were 6%-18% lower than values modeled while excluding variations in climate and pollutants, with larger biases in some of the most heavily polluted provinces such as the Sichuan-Chongqing region. Overall, the impacts of climate and SLCPs on agricultural production have increased over the past three decades. SLCPs have been responsible for more than 80% of the impacts, while the changing climate is of secondary importance. So controlling regional SLCPs can dramatically reduce the negative impacts on the agricultural yields, which is easier than changing the climate. This analysis provides a scientific basis for policy making to improve future agriculture in China.

关键词： crop yield climate change pollution SLCPs rice and wheat

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2000—2017年中国区域地表反照率变化及其影响因子

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地理研究 2022年第2期41卷 562-579页

作者：陆云波王伦澈牛自耕王绍强王力哲中国地质大学(武汉)地理与信息工程学院武汉430074 中国地质大学(武汉)计算机学院武汉430074

在全球气候变暖的背景下,地表反照率已成为地表辐射平衡和气候研究的重要参数之一。利用中国陆地生态系统研究网络(Chinese Ecosystem Research Network,CERN)提供的34个站点辐射数据、GLASS地表反照率产品、ERA-Interim再分析资料、MOD... 详细信息

在全球气候变暖的背景下,地表反照率已成为地表辐射平衡和气候研究的重要参数之一。利用中国陆地生态系统研究网络(Chinese Ecosystem Research Network,CERN)提供的34个站点辐射数据、GLASS地表反照率产品、ERA-Interim再分析资料、MODIS EVI(MOD13A3)和中国气象数据共享网提供的气象数据,基于Sen’s Slope趋势分析方法,分析不同生态系统地表反照率的变化特征;利用全子集回归和分层分解方法计算地表反照率与各要素之间的相关性和相对重要性;探讨各气候因子对地表反照率的影响。结果表明,2000—2017年裸土地和裸岩砾石地变化率最大,冬季斜率达-0.083%yr-1。生长季地表反照率与降水、增强型植被指数(Enhanced Vegetation Index,EVI)、土壤水分和气温显著相关的像元分别占总像元的73%、79%、56%和86%。EVI是干旱和半干旱地区地表反照率变化的主导因素,其对地表反照率变化的独立贡献率分别为41%和56.18%。7月东北地区降水量和气温对地表反照率的影响大约滞后2个月;内蒙古沙漠地区和长江中下游平原土壤水分对地表反照率的影响大约滞后1~2个月。

关键词：地表反照率变化趋势气象参数卫星观测独立贡献率

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