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Decoding the inconsistency of six cropland maps in China

The Crop Journal 2024年第1期12卷 281-294页

作者： Yifeng Cui Ronggao Liu Zhichao Li Chao Zhang Xiao-Peng Song Jilin Yang Le Yu Mengxi Chen jinwei dong Institute of Geographic Sciences and Natural Resources Research Chinese Academy of SciencesBeijing 100101China University of Chinese Academy of Sciences Beijing 100049China Department of Geographical Sciences University of MarylandCollege ParkMD 20740USA College of Grassland Science and Technology China Agricultural UniversityBeijing 100193China Ministry of Education Ecological Field Station for East Asian Migratory Birds Department of Earth System ScienceInstitute for Global Change StudiesTsinghua UniversityBeijing 100084China Ministry of Education Ecological Field Station for East Asian Migratory Birds Beijing 100084China Tsinghua University(Department of Earth System Science)-Xi’an Institute of Surveying and Mapping Joint Research Center for Next-Generation Smart Mapping Beijing 100084China Institute of Remote Sensing and Geographic Information System Peking UniversityBeijing 100871China Department of Forest and Conservation Sciences University of British ColumbiaVancouverBCV6T 1Z4Canada

Accurate cropland information is critical for agricultural planning and production,especially in foodstressed countries like *** widely used medium-to-high-resolution satellite-based cropland maps have been developed from various remotely sensed data sources over the past few decades,considerable discrepancies exist among these products both in total area and in spatial distribution of croplands,impeding further applications of these *** factors influencing their inconsistency are also *** this study,we evaluated the consistency and accuracy of six cropland maps widely used in China in circa 2020,including three state-of-the-art 10-m products(i.e.,Google Dynamic World,ESRI Land Cover,and ESA WorldCover)and three 30-m ones(i.e.,GLC_FCS30,GlobeLand 30,and CLCD).We also investigated the effects of landscape fragmentation,climate,and agricultural *** using a ground-truth sample revealed that the 10-m-resolution WorldCover provided the highest accuracy(92.3%).These maps collectively overestimated Chinese cropland area by up to 56%.Up to 37%of the land showed spatial inconsistency among the maps,concentrated mainly in mountainous regions and attributed to the varying accuracy of cropland maps,cropland fragmentation and management practices such as *** work shed light on the promotion of future cropland mapping efforts,especially in highly inconsistent regions.

关键词： Consistency and accuracy 10-and 30 m Cropland mapping Agricultural management China

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Insights of carbon reduction practices from Winter Olympics 2022

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Science Bulletin 2024年第13期69卷 2034-2037页

作者： Xiaoyong Liao Shuai Zhong Jie Huang Zhu Liu Ayman Elshkaki You Li Lei Shen Yingli He Li An Yidong Zhu Wenhao Sun Tao Liang Jiaoe Wang jinwei dong Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China Key Laboratory for Resources Use and Environmental Remediation Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China Key Laboratory of Regional Sustainable Development Modeling Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China University of Chinese Academy of Sciences Beijing 100049China Department of Earth System Science Tsinghua UniversityBeijing 100084China

Concerns about the carbon emissions of mega-events revolve,mainly due to the impactful demonstration effects they ***,accurate monitoring of these emissions is crucial during such events[1].The Olympic and Paralympic Winter Games Beijing 2022(hereinafter“Winter Olympics 2022”)are recognized as the first Games to pay close attention to a wide range of emissions associated with all stages of the *** of emerging carbon reduction technologies,such as low-carbon materials and technologies,have shown promising effects on efforts to achieve carbon neutrality[2].The impacts of individual measures,such as Olympic infrastructure construction.

关键词： Winter emissions carbon

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自愿披露客户信息影响了债券违约风险吗?

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南京审计大学学报 2024年第1期21卷 67-75页

作者：王生年董今威石河子大学经济与管理学院新疆石河子832000

以2010—2021年沪深A股上市公司发行的公司债为样本,实证检验了自愿披露客户信息对债券违约风险的影响。研究发现,自愿披露客户信息产生的额外风险加剧了债券违约风险,这种影响在高专有成本和高融资约束的企业中表现更为显著,但企业发... 详细信息

以2010—2021年沪深A股上市公司发行的公司债为样本,实证检验了自愿披露客户信息对债券违约风险的影响。研究发现,自愿披露客户信息产生的额外风险加剧了债券违约风险,这种影响在高专有成本和高融资约束的企业中表现更为显著,但企业发行的绿色债券并未受到影响。机制检验表明,经营风险增加和机构投资者持股降低是自愿披露客户信息影响债券违约风险的重要途径。研究表明,企业需要慎重考虑披露客户信息带来的风险,审慎制定信息披露策略。

关键词：客户信息披露债券违约风险风险效应专有成本融资约束机构投资者持股绿色债券

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2000—2020年中国青饲料播种面积及其供需驱动因素的时空格局

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地理学报 2024年第7期79卷 1804-1823页

作者：杨彤赵雯莉董金玮李愈哲李之超王洁齐雯丽毕健张戈丽中国农业大学土地科学与技术学院北京100093 中国农业大学生物学院北京100093 中国科学院地理科学与资源研究所北京100101 中国农业大学草业科学与技术学院北京100093 兰州大学资源环境学院兰州730000

高产、优质的青饲料对于国家畜牧业发展和食物供给至关重要。然而,当前对于青饲料播种面积时空变化格局及其阶段性特征、区域差异以及影响因素等尚未清楚。本文基于省级面板数据分析了2000—2020年青饲料种植的时空格局变化,结合MODIS-... 详细信息

高产、优质的青饲料对于国家畜牧业发展和食物供给至关重要。然而,当前对于青饲料播种面积时空变化格局及其阶段性特征、区域差异以及影响因素等尚未清楚。本文基于省级面板数据分析了2000—2020年青饲料种植的时空格局变化,结合MODIS-NPP产品和统计数据,揭示了饲料供给与需求对青饲料播种面积的影响。结果表明:①2020年中国青饲料播种面积为2199×10^(3)hm^(2),仅占农作物播种面积的1.3%,其中牧业地区占全国的59%。②2000年以来青饲料播种面积经历了快速增长(2000—2003年,464.2×10^(3)hm^(2)/a)、快速下降(2004—2009年,-399×10^(3)hm^(2)/a)和缓慢增长(2010—2020年,64.3×10^(3)hm^(2)/a)3个时期。牧业地区主导了全国青饲料播种面积的变化。③饲料供需因素最多可以解释92%的青饲料播种面积变化。其中,饲料需求每增加1万t,青饲料播种面积最高增加900 hm^(2)。秸秆草饲料产量与青饲料互为补充,以负效应为主(偏回归系数介于-1.2~-0.5之间)。天然草饲料产量则对青饲料播种面积变化影响较小。此外,生态工程和农业政策等因素通过调控奶业、草牧业和种植业对青饲料播种面积的变化有重要影响。本文结果可为制定粮食安全、生态环境保护和作物结构调整等相关政策措施提供科学支持。

关键词：青饲料时空格局播种面积饲料供需中国

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Continuous land cover change monitoring in the remote sensing big data era

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Science China Earth Sciences 2017年第12期60卷 2223-2224页

作者： dong jinwei KUANG WenHui LIU JiYuan Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China

Since the late 20th century,global change issues have attracted lots of *** a key component of global changes,land cover and land use information has been increasingly important for improved understanding of global en... 详细信息

关键词： Continuous lan the remote sensing big data era

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Variations of Vegetation Phenology Extracted from Remote Sensing Data over the Tibetan Plateau Hinterland during 2000–2014

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Journal of Meteorological Research 2020年第4期34卷 786-797页

作者： Ya LIU Junbang WANG jinwei dong Shaoqiang WANG Hui YE Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural ResourcesChinese Academy of SciencesBeijing 100101 Key Laboratory of Watershed Geographic Sciences Nanjing Institute of Geography and LimnologyChinese Academy of SciencesNanjing 210008

How vegetation phenology responds to climate change is a key to the understanding of the mechanisms driving historic and future changes in regional terrestrial ecosystem productivity. Based on the 250-m and 8-day moderate resolution imaging spectroradiometer(MODIS) normalized difference vegetation index(NDVI) data for 2000-2014 in the Three-River Source Region(TRSR) of Qinghai Province, China, i.e., the hinterland of the Tibetan Plateau, we extracted relevant vegetation phenological information(e.g., start, end, and length of growing season) and analyzed the changes in the TRSR vegetation in response to climate change. The results reveal that, under the increasingly warm and humid climate, the start of vegetation growing season(SOS) advanced 1.03 day yr-1 while the end of vegetation growing season(EOS) exhibited no significant changes, which led to extended growing season length. It is found that the SOS was greatly affected by the preceding winter precipitation, with progressively enhanced precipitation facilitating an earlier SOS. Moreover, as the variations of SOS and its trend depended strongly on topography, we estimated the elevation break-points for SOS. The lower the elevations were, the earlier the SOS started. In the areas below 3095-m elevation, the SOS delay changed rapidly with increasing elevation;whereas above that, the SOS changes were relatively minor. The SOS trend had three elevation break-points at 2660, 3880, and 5240 m.

关键词： Three-River Source Region(TRSR) start of vegetation growing season(SOS) spatiotemporal change elevation climate change China

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Quantifying the response of surface urban heat island to urbanization using the annual temperature cycle model

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Geoscience Frontiers 2022年第1期13卷 478-487页

作者： Huidong Li Yuyu Zhou Gensuo Jia Kaiguang Zhao jinwei dong Department of Geological and Atmospheric Sciences Iowa State UniversityAmes 50011USA Key Laboratory of Regional Climate-Environment for Temperate East Asia Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Ohio Agricultural Research and Development Center School of Environment and Natural ResourcesThe Ohio State UniversityWoosterOH 44691USA Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101

Urban heat island(UHI),driving by urbanization,plays an important role in urban sustainability under climate ***,the quantification of UHI’s response to urbanization is still challenging due to the lack of robust and continuous temperature and urbanization datasets and reliable quantification *** study proposed a framework to quantify the response of surface UHI(SUHI)to urban expansion using the annual temperate cycle *** built a continuous annual SUHI series at the buffer level from 2003 to 2018 in the Jing-Jin-Ji region of China using MODIS land surface temperature and imperviousness derived from *** then investigated the spatiotemporal dynamic of SUHI under urban expansion and examined the underlying ***,the largest SUHI interannual variations occurred in suburban areas compared to the urban center and rural ***,the increase in SUHI under urban expansion was more significant in daytime compare to *** found that the seasonal variation of SUHI was largely affected by the seasonal variations of vegetation in rural areas and the interannual variation was mainly attributed to urban expansion in urban ***,urban greening led to the decrease in summer daytime SHUI in central urban *** findings deepen the understanding of the long-term spatiotemporal dynamic of UHI and the quantitative relationship between UHI and urban expansion,providing a scientific basis for prediction and mitigation of UHI.

关键词： Urban heat island Urbanization Spatiotemporal dynamics Annual temperature cycle model Diurnal temperature range

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Mapping paddy rice distribution using multi-temporal Landsat imagery in the Sanjiang Plain, northeast China

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Frontiers of Earth Science 2016年第1期10卷 49-62页

作者： Cui JIN Xiangming XIAO jinwei dong Yuanwei QIN Zongming WANG Department of Microbiology and Plant Biology Center for Spatial Analysis University of Oklahoma Norman OK 73019 USA Institute of Biodiversity Sciences Fudan University Shanghai 200433 China Northeast Institute of Geography and Agricultural Ecology Chinese Academy of Sciences Changchun 130102 China

Information of paddy rice distribution is essential for food production and methane emission calculation. Phenology-based algorithms have been uti- lized in the mapping of paddy rice fields by identifying the unique flooding and seedling transplanting phases using multi-temporal moderate resolution （500m to 1 km） images. In this study, we developed simple algorithms to identify paddy rice at a fine resolution at the regional scale using multi-temporal Landsat imagery. Sixteen Landsat images from 2010-2012 were used to generate the 30 m paddy rice map in the Sanjiang Plain, northeast China-one of the major paddy rice cultivation regions in China. Three vegetation indices, Normalized Difference Vegetation Index （NDVI）, Enhanced Vegetation Index （EVI）, and Land Surface Water Index （LSWI）, were used to identify rice fields during the flooding/transplanting and ripening phases. The user and producer accuracies of paddy rice on the resultant Landsat-based paddy rice map were 90% and 94%, respectively. The Landsat-based paddy rice map was an improvement over the paddy rice layer on the National Land Cover Dataset, which was generated through visual interpretation and digitalization on the fine-resolution images. The agricultural census data substantially underreported paddy rice area, raising serious concern about its use for studies on food security.

关键词： phenology flooding transplanting ripening,land use

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复杂黄土山地区井震联合高效采集技术及应用

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物探化探计算技术 2024年第1期46卷 67-72页

作者：张雨张群英董金伟任丽莹黄凯中国石油东方地球物理公司辽河物探处盘锦124010

随着“两宽一高”地震采集技术的不断发展,鄂尔多斯盆地已成功开展多个井震联合地震采集项目,项目中可控震源发挥出巨大优势,但如何实现井炮与可控震源的高度融合、高效采集仍面临诸多挑战,主要表现在点位布设均匀性差、障碍区实施率低... 详细信息

随着“两宽一高”地震采集技术的不断发展,鄂尔多斯盆地已成功开展多个井震联合地震采集项目,项目中可控震源发挥出巨大优势,但如何实现井炮与可控震源的高度融合、高效采集仍面临诸多挑战,主要表现在点位布设均匀性差、障碍区实施率低、采集效率提升难等问题。通过对近年来复杂黄土山地区三维地震勘探项目的技术研究与分析,总结出井震联合高精度预案设计、VPM+SSC井震联合双源激发等先进技术,以上技术在2022年度鄂尔多斯盆地NXX三维项目中成功应用并取得了显著效果,开创了复杂黄土山地区井震联合高效采集的新局面。

关键词：高精度预案动态调整双源激发 VPM激发系统 SSC控制器

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The 2012 Flash Drought Threatened US Midwest Agroecosystems

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Chinese Geographical Science 2019年第5期29卷 768-783页

作者： JIN Cui LUO Xue XIAO Xiangming dong jinwei LI Xueming YANG Jun ZHAO Deyu College of Urban and Environment Liaoning Normal UniversityDalian116029China Department of Microbiology and PlantBiology Center for Spatial AnalysisUniversity of OklahomaNormanOK73019USA Ministry of Education Key Laboratory ofBiodiversity Science and Ecological Engineering Institute of Biodiversity ScienceFudan UniversityShanghai200433China KeyLaboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources ResearchChinese Academyof SciencesBeijing100101China

In the summer of 2012, the US Midwest, the most productive agricultural region in the world, experienced the most intense and widespread drought on record for the past hundred years. The 2012 drought, characterized as ‘flash drought’, developed in May with a rapid intensification afterwards, and peaked in mid-July. ~76% of crop region and 60% of grassland and pasture regions have been under moderate to severe dry conditions. This study used multiple lines of evidences, i.e., in-situ AmeriFlux measurements, spatial satellite observations, and scaled ecosystem modeling, to provide independent and complementary analysis on the impact of 2012 flash drought on the US Midwest vegetation greenness and photosynthesis carbon uptake. Three datasets consistently showed that 1) phenological activities of all biomes advanced 1–2 weeks earlier in 2012 compared to the other years of 2010–2014;2) the drought had a more severe impact on agroecosystems(crop and grassland) than on forests;3) the growth of crop and grassland was suppressed from June with significant reduction of vegetation index, sun-induced fluorescence(SIF) and gross primary production(GPP), and did not recover until the end of growing season. The modeling results showed that regional total GPP in 2012 was the lowest(1.76 Pg C/yr) during 2010–2014, and decreased by 63 Tg C compared with the other-year mean. Agroecosystems, accounting for 84% of regional GPP assimilation, were the most impacted by 2012 drought with total GPP reduction of 9%, 7%, 6%, and 29% for maize, soybean, cropland, and grassland, respectively. The frequency and severity of droughts have been predicted to increase in future. The results imply the importance to investigate the influences of flash droughts on vegetation productivity and terrestrial carbon cycling.

关键词： food security terrestrial carbon cycling eddy covariance Vegetation Photosynthesis Model sun-induced fluorescence(SIF)

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