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| 1 | Mapping wetland changes in China between 1978 and 2008显示文摘Four wetland maps for all China have been produced,based on Landsat and CBERS-02B remote sensing data between 1978 and 2008 (1978,1990,2000 and 2008).These maps were mainly developed by manual interpretation and validated by substantial field investigation in 2009.Based on these maps,we analyzed the 2008 wetland distribution in China and discussed wetland changes and their drivers over the past 30 years.(i) There were about 324097 km 2 of wetlands in 2008,for which inland marshes or swamps were the most common wetland type (35%),with lakes (26%) second.Most of the wetlands were in Heilongjiang,Inner Mongolia,Qinghai and Tibet,occupying about 55% of the national wetland area.(ii) From 1978 to 2008,China's wetland area continually and significantly decreased,by about 33% based on changes in the wetland map.This was in sharp contrast to the increase in artificial wetlands,which increased by about 122%.Inland marshes accounted for the main loss of total wetlands from 1978 to 2000.From 2000 through 2008,riverine and lacustrine wetlands constituted the main wetland loss.Fortunately however,the rate of wetland loss decreased from 5523 to 831 km 2 /a.(iii) The change ratio of lost natural wetlands (including inland and coastal wetlands) to non-wetlands has decreased slightly over the past 30 years.From 1978 to 1990,nearly all natural wetlands (98%) lost were transformed into non-wetlands.However,the ratio declined to 86% from 1990 to 2000,and to 77% from 2000 to 2008.(iv) All Chinese provinces were divided into three groups according to patterns of wetland changes,which could relate to the driving forces of such changes.Tibet was completely different from other provinces,as it was one representative example in which there was a net wetland increase,because of global warming and decreased human activity since 1990.Increased economic development caused considerable wetland loss in most eastern provinces,and artificial wetlands increased. | NIU ZhenGuo ZHANG HaiYing WANG XianWei YAO WenBo ZHOU DeMin ZHAO KuiYi ZHAO Hui LI NaNa HUANG HuaBing LI CongCong YANG Jun LIU CaiXia LIU Shuang WANG Lin LI Zhan YANG ZhenZhong QIAO Fei ZHENG YaoMin CHEN YanLei SHENG YongWei GAO XiaoHong ZHU WeiHong WANG WenQing WANG Hong WENG YongLing ZHUANG DaFang LIU JiYuan LUO ZhiCai CHENG Xiao GUO ZiQi GONG Peng | 2012 | Chinese Science Bulletin2012，57，22： | 51 |
| 2 | Adhesive joint design for high yield and low cost assembly of fiberoptic devices 显示文摘 | Lin Yaomin Liu Wenning Shi F G | 1992 | IEEE Circuits and Devices Magazine1992，8，6： | 2 |
| 3 | A Method for Alpine Wetland Delineation and Features of Border: Zoigê Plateau, China显示文摘Accurate wetland delineation is the basis of wetland definition and mapping, and is of great importance for wetland management and research. The Zoigê Plateau on the Qinghai-Tibet Plateau was used as a research site for research on alpine wetland delineation. Several studies have analyzed the spatiotemporal pattern and dynamics of these alpine wetlands, but none have addressed the issues of wetland boundaries. The objective of this work was to discriminate the upper boundaries of alpine wetlands by coupling ecological methods and satellite observations. The combination of Landsat 8 images and supervised classification was an effective method for rapid identification of alpine wetlands in the Zoigê Plateau. Wet meadow was relatively stable compared with hydric soils and wetland hydrology and could be used as a primary indicator for discriminating the upper boundaries of alpine wetlands. A slope of less than 4.5° could be used as the threshold value for wetland delineation. The normalized difference vegetation index(NDVI) in 434 field sites showed that a threshold value of 0.3 could distinguish grasslands from emergent marsh and wet meadow in September. The median normalized difference water index(NDWI) of emergent marsh remained more stable than that of wet meadow and grasslands during the period from September until July of the following year. The index of mean density in wet meadow zones was higher than the emergent and upland zones. Over twice the number of species occurred in the wet meadow zone compared with the emergent zone, and close to the value of upland zone. Alpine wetlands in the three reserves in 2014 covered 1175.19 km2 with a classification accuracy of 75.6%. The combination of ecological methods and remote sensing technology will play an important role in wetland delineation at medium and small scales. The correct differentiation between wet meadow and grasslands is the key to improving the accuracy of future wetland delineation. | ZHENG Yaomin NIU Zhenguo GONG Peng LI Mengna HU Lile WANG Lei YANG Yuxiang GU Hai-jun MU Jinrong DOU Gejia XUE Hui WANG Lin LI Hua DOU Gejie DANG Zhicairang | 2017 | Chinese Geographical Science2017，27，5： | 2 |
| 4 | Laser welding induced alignment distortion in butterfly laser module packages: effect of welding sequence 显示文摘 | Lin Yaomin Liu Wenning Shi F G | 2002 | Advanced Packaging2002，25，1： | 1 |
| 5 | Magnetic properties indicate the sources of hadal sediments in the Yap Trench,northwest Pacific Ocean显示文摘Magnetic minerals in marine sediments are often masked by the primary natural remanent magnetization and material source signals.In order to understand sedimentary environment and sources of sediments in the abyss,we studied 126 samples of five bottom surface cores collected by the Jiaolong Submersible at 4000-7000 m in depth during the third stage of the China's 38th Ocean Voyage.The magnetic properties of the sediments were analyzed using Thermosusceptibility(k-T)curves and Day plot.The results show that the magnetic minerals in the sediments of the Yap Trench are mainly maghemite,and the overall magnetic and soft magnetic properties were strong.The magnetic particles of sediments are dominated by pseudo single domains(PSD)grains.The main source of sediment is locally-derived basalt debris and volcanic debris,and the process of sedimentation is gravity-like flow deposition. | CHEN Yu YANG Jichao DADA Olusegun A YANG Yaomin LIN Zhen CUI Zhen XU Yue YU Hongjun LIU Baohua | 2020 | Journal of Oceanology and Limnology2020，38，3： | 0 |
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