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vegetation growth Monitoring Under Coal Exploitation Stress by Remote Sensing in the Bulianta Coal Mining Area

Journal of China University of Mining and Technology 2007年第4期17卷 479-483页

作者： LU Xia HU Zhen-qi LIU Wei-jie HUANG Xiao-yan Insitute of Land Reclamation and Ecological Restoration China University of Mining ＆ Technology Beijing 100083 China

Coal exploitation inevitably damages the natural ecological environment through large scale underground exploitation which exhausts the surrounding areas and is the cause of surface subsidence and cracks. These types of damage seriously lower the underground water table. Deterioration of the environment has certainly an impact on and limits growth of vegetation,which is a very important indicator of a healthy ecological system. Dynamically monitoring vegetation growth under coal exploitation stress by remote sensing technology provides advantages such as large scale coverage,high accuracy and abundant information. A scatter plot was built by a TM (Thematic Mapper) infrared and red bands. A detailed analysis of the distributional characteristics of vegetation pixels has been carried out. Results show that vegetation pixels are affected by soil background pixels,while the distribution of soil pixels presents a linear pattern. Soil line equations were obtained mainly by linear regression. A new band,reflecting vegetation growth,has been obtained based on the elimination of the soil background. A grading of vegetation images was extracted by means of a density slice method. Our analysis indicates that before the exploitation of the Bulianta coal mining area,vegetation growth had gradually reduced; especially intermediate growth vegetation had been transformed into low vegetation. It may have been caused by the deterioration of the brittle environment in the western part of the mining area. All the same,after the start of coal production,vegetation growth has gradually improved,probably due to large scale aerial seeding. Remote sensing interpretation results proved to be consistent with the actual situation on the ground. From our research results we can not conclude that coal exploitation stress has no impact on the growth of vegetation. More de-tailed research on vegetation growth needs to be analyzed.

关键词： coal exploitation linear regression density slice vegetation growth

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Enhanced dominance of soil moisture stress on vegetation growth in Eurasian drylands

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National Science Review 2023年第8期10卷 135-147页

作者： Yu Zhang Yangjian Zhang Xu Lian Zhoutao Zheng Guang Zhao Tao Zhang Minjie Xu Ke Huang Ning Chen Ji Li Shilong Piao Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of Sciences College of Resources and Environment University of Chinese Academy of Sciences Sino-French Institute for Earth System Science College of Urban and Environmental Sciences Peking University Department of Earth and Environmental Engineering Columbia University College of Agronomy Shenyang Agricultural University Department of Geosciences and Natural Resource Management University of Copenhagen Key Laboratory of Wetland Ecology and Environment Northeast Institute of Geography and Agroecology Chinese Academy of Sciences Department of Geography School of Geography and Information EngineeringChina University of Geosciences 9. State Key Laboratory of Tibetan Plateau Earth SystemResources and Environment Institute of Tibetan Plateau ResearchChinese Academy of Sciences

Despite the mounting attention being paid to vegetation growth and their driving forces for water-limited ecosystems, the relative contributions of atmospheric and soil moisture dryness stress on vegetation growth are an ongoing debate. Here we comprehensively compare the impacts of high vapor pressure deficit(VPD) and low soil water content(SWC) on vegetation growth in Eurasian drylands during 1982–*** analysis indicates a gradual decoupling between atmospheric dryness and soil dryness over this period,as the former has expanded faster than the latter. Moreover, the VPD–SWC relation and VPD–greenness relation are both non-linear, while the SWC–greenness relation is near-linear. The loosened coupling between VPD and SWC, the non-linear correlations among VPD–SWC-greenness and the expanded area extent in which SWC acts as the dominant stress factor all provide compelling evidence that SWC is a more influential stressor than VPD on vegetation growth in Eurasian drylands. In addition, a set of 11 Earth system models projected a continuously growing constraint of SWC stress on vegetation growth towards 2100. Our results are vital to dryland ecosystems management and drought mitigation in Eurasia.

关键词： soil water content vapor pressure deficit vegetation growth decoupling non-linear relation

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Exposures to temperature beyond threshold disproportionately reduce vegetation growth in the northern hemisphere

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National Science Review 2019年第4期6卷 786-795页

作者： Xiuchen Wu Weichao Guo Hongyan Liu Xiaoyan Li Changhui Peng Craig D.Allen Cicheng Zhang Pei Wang Tingting Pei Yujun Ma Yuhong Tian Zhaoliang Song Wenquan Zhu Yang Wang Zongshan Li Deliang Chen State Key Laboratory of Earth Surface Processes and Resource Ecology Beijing Normal University Faculty of Geographical Science Beijing Normal University College of Urban and Environmental Science Peking University Institute of Environment Sciences University of Quebec at Montreal US Geological Survey Fort Collins Science CenterJemez Mountains Field Station Institute of the Surface-Earth System Science Research Tianjin University State Key Laboratory of Urban and Regional Ecology Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Regional Climate Group Department of Earth SciencesUniversity of Gothenburg

In recent decades, terrestrial vegetation in the northern hemisphere(NH) has been exposed to warming and more extremely high temperatures. However, the consequences of these changes for terrestrial vegetation growth remain poorly quantified and understood. By examining a satellite-based vegetation index, tree-ring measurements and land-surface model simulations, we discovered a consistent convex pattern in the responses of vegetation growth to temperature exposure(TE) for forest, shrub and grass in both the temperate(30?-50?N) and boreal(50?-70?N) NH during the period of 1982-2012. The response of vegetation growth to TE for the three vegetation types in both the temperate and boreal NH increased convergently with increasing temperature, until vegetation type-dependent temperature thresholds were reached. A TE beyond these temperature thresholds resulted in disproportionately weak positive or even strong negative responses. vegetation growth in the boreal NH was more vulnerable to extremely high-temperature events than vegetation growth in the temporal NH. The non-linear responses discovered here provide new insights into the dynamics of northern terrestrial ecosystems in a warmer world.

关键词： temperature exposure vegetation growth extremely high temperature non-linear response temperate and boreal northern hemisphere

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Deep learning projects future warming-induced vegetation growth changes under SSP scenarios

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Advances in Climate Change Research 2022年第2期13卷 251-257页

作者： Zhi-Ting CHEN Hong-Yan LIU Chong-Yang XU Xiu-Chen WU Bo-Yi LIANG Jing CAO Deliang CHEN College of Urban and Environmental Sciences and MOE Laboratory for Earth Surface Processes Peking UniversityBeijing 100871China Faculty of Geographical Sciences Beijing Normal UniversityBeijing 100875China Department of Earth Sciences University of GothenburgGothenburg 40530Sweden

Climate warming has been projected to enhance vegetation growth more strongly in higher latitudes than in lower latitudes,but different projections show distinct regional *** employing big data analysis(deep learning),we established gridded,global-scale,climate-driven vegetation growth models to project future changes in vegetation growth under SSP *** projected no substantial trends of vegetation growth change under the sustainable development scenario(SSP1-1.9)by the end of the 21st ***,the increase of vegetation growth driven by climate warming shows distinct regional variability under the scenario representing high carbon emissions and severe warming(SSP5-8.5),especially in Northeast Asia where growth could increase by(6.00%±4.21%).This may be attributed to the high temperature sensitivities of the deciduous needleleaf forests and permanent wetlands in these *** the temperature sensitivity that is defined as permutation importance in deep learning is greater than 0.05,the increase in vegetation growth will be more *** addition,an extreme temperature increase across grasslands,as well as changing land-use management in northern China may also influence the vegetation growth in the *** results suggest that the sustainable development scenario can maintain stable vegetation growth,and it may be a reliable way to mitigate global warming due to potential climate feedbacks driven by vegetation changes in boreal *** needleleaf forests will be a centre of greening in the future,and it should become the focus of future vegetation dynamics modelling studies and projections.

关键词： vegetation growth Climate change Deep learning Climate sensitivity Future projection

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Seasonal differences in climatic controls of vegetation growth in the Beijing–Tianjin Sand Source Region of China

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Journal of Arid Land 2018年第6期10卷 850-863页

作者： SHAN Lishan YU Xiang SUN Lingxiao HE Bin WANG Haiyan XIE Tingting College of Forestry Gansu Agricultural UniversityLanzhou 730070China Chinese Academy of Forestry Beijing 100091China University of Chinese Academy of Sciences Beijing 100049China College & Global Change and Earth System Science Beijing Normal UniversityBeijing 100875China

Launched in 2002, the Beiing–Tianjin Sand Source Control Project (BTSSCP) is an ecological restoration project intended to prevent desertification in China. Evidence from multiple sources has confirmed increases in vegetation growth in the BTSSCP region since the initiation of this project. Precipitation and essential climate variable-soil moisture (ECV-SM) conditions are typically considered to be the main drivers of vegetation growth in this region. Although many studies have investigated the inter-annual variations of vegetation growth, few concerns have been focused on the annual and seasonal variations of vegetation growth and their climatic drivers, which are crucial for understanding the relationships among the climate, vegetation, and human activities at the regional scale. Based on the normalized difference vegetation index (NDVI) derived from MODIS and the corresponding climatic data, we explored the responses of vegetation growth to climatic factors at annual and seasonal scales in the BTSSCP region during the period 2000–2014. Over the study region as a whole, NDVI generally increased from 2000 to 2014, at a rate of 0.002/a. vegetation growth is stimulated mainly by the elevated temperature in spring, whereas precipitation is the leading driver of summer greening. In autumn, positive effects of both temperature and precipitation on vegetation growth were observed. The warming in spring promotes vegetation growth but reduces ECV-SM. Summer greening has a strong cooling effect on land surface temperature. These results indicate that the ecological and environmental consequences of ecological restoration projects should be comprehensively evaluated.

关键词： vegetation growth climatic drivers seasonal variation ecological engineering interaction Beiing–Tianjin Sand Source Controlling Project(BTSSCP) NDVI

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The response of vegetation growth to shifts in trend of temperature in China

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Journal of Geographical Sciences 2017年第7期27卷 801-816页

作者： HE Bin CHEN Aifang JIANG Weiguo CHEN Ziyue State Key Laboratory of Earth Surface Processes and Resource Ecology College of Global Change and Earth System Science Beijing Normal University Beijing 100875 China Regional Climate Group Department of Earth Sciences University of Gothenburg Box 460 40530 Goth- enburg Sweden Academy of Disaster Reduction and Emergency Management Beijing Normal University Beijing 100875 China

Though many studies have focused on the causes of shifts in trend of temperature, whether the response of vegetation growth to temperature has changed is still not very clear. In this study, we analyzed the spatial features of the trend changes of temperature during the growing season and the response of vegetation growth in China based on observed climatic data and the normalized difference vegetation index （NDVI） from 1984 to 2011. An obvious warming to cooling shift during growing season from the period 1984-1997 to the period 1998-2011 was identified in the northern and northeastern regions of China, whereas a totally converse shift was observed in the southern and western regions, suggesting large spatial heterogeneity of changes of the trend of growing season temperature throughout China. China as a whole, a significant positive relationship between vegetation growth and tem- perature during 1984 to 1997 has been greatly weakened during 1998-2011. This change of response of vegetation growth to temperature has also been confirmed by Granger causality test. On regional scales, obvious shifts in relationship between vegetation growth and tem- perature were identified in temperate desert region and rainforest region. Furthermore, by comprehensively analyzing of the relationship between NDVI and climate variables, an over- all reduction of impacts of climate factors on vegetation growth was identified over China during recent years, indicating enhanced influences from human associated activities.

关键词： vegetation growth temperature shift response NDVI China

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Remote Sensing Monitoring on the vegetation growth in China's Grassland

Remote Sensing Monitoring on the Vegetation Growth in China'...

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第三世界生态高峰会

作者： Xu Bin~(1,2) Tao Weiguo~1 Yang Xiuchun~1 Qin Zhihao~1 Liu Haiqi~2 Yuan Ping~1 1.Institute of Agricultural Resources ant Regional Planning.CAAS,Beijing 100081 China 2 The Remote Sensing Application Center,Ministry of Agriculture.Beijing 100026,China

The grassland vegetation growth relates to the overall growth *** integration of 3S(RS,GIS,GPS)was used to monitor the grassland growth in 2006 with MODIS *** conclusions are drawn as follows:(1)Grassland vegetation growth in 2006 throughout the country is almost the same as 2005.(2)In 2006 and 2005,the grassland vegetation is featured by“the near growth in early period and better in middle period and worse in later period”in China.(3)In 2006,the good growth area is mostly dispersed at Xilinguole in Inner Mongolia and North of *** bad growth area,in the main is distributed in the northeast of Inner Mongolia and tire southwest of alpine grassland of Tibet.(4)Various key provinces differentiate with each *** instance,the overall growth in Inner Mongolia is slightly worse than 2005,In Tibet is basically the same to that in 2005,and the spatial distribution is *** vegetation growth in the early period of 2006 is near than that in the same period of the previous year;and worse in the late period.

关键词： Grassland vegetation growth Remote sensing monitoring MODIS data

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Preliminary Research on GNSS Multipath Interpret the Process of vegetation growth

Preliminary Research on GNSS Multipath Interpret the Process...

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第十一届中国卫星导航年会

作者： Jilun Peng Shuangcheng Zhang Jingjiang Zhang Qi Liu Tao Wang College of Geology Engineering and Geomantic Chang’an University Institute of Desert Meteorology in China Meteorological Administration Institute of Urban Meteorology CMA

vegetation is a significant link between soil, moisture, organisms and the atmosphere. Recording vegetation changes has important significance in climate change. Traditional remote sensing has the dra

关键词： GNSS Multipath NDVI vegetation growth Phenology

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Technosols Made of Wastes to Improve Physico-Chemical Characteristics of a Copper Mine Soil

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Pedosphere 2013年第1期23卷 1-9页

作者： V.ASENSIO F.A.VEGA M.L.ANDRADE E.F.COVELO Department de Bioloxía Vexetal e Ciencia do Solo Facultade de Bioloxia Universidade de VigoLagoas Marcosende 36310 Vigo Pontevedra (Spain)

Mine tailing soils created from the copper extraction in Touro Mine （Northwest Spain） are very degraded both physically and chemically. Three plots in this mine tailing were amended with Technosols in different proportions in each one to know if this mixture improved the physico-chemical characteristics of the mine soil and contaminated it with heavy metals. The Technosols were made of organic wastes, including mussel residues, wood fragments, sewage sludges and paper mill ashes. An unamended area was used as a control soil. Pseudototal and diethylenetriaminepentaacetic acid （DTPA）-extractable contents of A1, Cr, Cu, Fe, Mn, Ni, Pb and Zn were determined in soil samples. The untreated soil had significant limitations for vegetation growth. All the Technosols improved the properties of the mine soil by increasing organic carbon and pH value, but they added Ni, Pb or Zn to the soil. It is advisable to check whether the heavy metal concentrations of the wastes are hazardous or not before adding to soils. It is also necessary to study the effect of these wastes over time and in more areas to conclude if they are actually favourable to restore degraded mine soils.

关键词： heavy metals mine tailing vegetation growth waste amendment

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vegetation changes in the agricultural-pastoral areas of northern China from 2001 to 2013

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Journal of Integrative Agriculture 2016年第5期15卷 1145-1156页

作者： SU Wei YU De-yong SUN Zhong-ping ZHAN Jun-ge LIU Xiao-xuan LUO Qian State Key Laboratory of Earth Surface Processes and Resource Ecology Beijing Normal University Beijing 100875 P.R. China State Key Laboratory of Remote Sensing Science/School of Geography Beijing Normal University Beijing 100875 P.R.China Satelfite Environment Center Ministry of Environmental Protection Beijing 100094 PR.China College of Information and Electrical Engineering China Agricultural University Beijing 100083 P.R.China

Climate change and human activity have resulted in increasing change of vegetation growth globally. Numerous studies have been conducted on extreme climate events and analyses of ecological environment evolution. However, such studies have placed little emphasis on vegetation change and spatial variation in this type of ecotone. Accordingly, this study analyzed the changes in vegetation type and growth using the 16-d composite MOD13A1 product with 1-km resolution and MOD12Q1 product with 1-km resolution. We used the mean, maximum, standard deviation normalized-difference vegetation index（NDVI） values, and the rate of change（ROC） of NDVI value to explain vegetation changes within the studied ecotone. Our results showed that significant vegetation type and growth changes have occurred in the study area. From 2001 to 2013, for example, with the exception of 2001, 2004 and 2009, a certain extent of grassland area was converted to cropland. Drought severity index（DSI） results indicate that there exists drought in 2001, 2004 and 2009. Such temporal changes in cropland and grassland area confirmed the ecological vulnerability of the ecotone. At the same time, vegetation varied spatially from west to east and from south to north. The mean, maximum and standard deviation NDVI values were all sorted in descending order based on differences in latitude and longitude, as follows： NDVI_（2013）〉NDVI_（2009）〉NDVI_（2004）〉NDVI_（2001）

关键词： vegetation growth agricultural-pastoral area MODIS land cover change temporal change spatial variation

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