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Effect of Bacillus subtilis and Pseudomonas fluorescens on Growth of Greenhouse Tomato and Rhizosphere Microbial Community

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Journal of Northeast Agricultural University(English Edition) 2015年第3期22卷 32-42页

作者： Ge Xiao-ying He Chun-e Li Tao Ouyang Zhu Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences (CAS) University of Chinese Academy of Sciences

Bacillus subtilis （B. subtilis） and Pseudomonas fluorescens （P. fluorescens） are two of the most important plant growth promoting rhizobacteria （PGPR） in agriculture. An in situ trial was conducted on greenhouse tomato （Lycopersicum esculentum Mill.） to examine the effect of two bacterial strains, Bacillus subtilis （CGMCC 1.3343） and Pseudomonas fluorescens （CGMCC 1.1802）, on tomato growth, gray mold disease control, catabolic and genetic microbial features of indigenous rhizosphere bacteria under lownitrogen conditions. A commercial inoculant （ETS） was also tested as a comparison. Both B. subtilis and P. fluorescens promoted growth and biomass of seedlings, while only B. subtilis was efficient in reducing gray mold incidence in greenhouse tomato. The two bacterial strains could colonization in tomato rhizosphere soil at the end of experiment （10 days after the last inoculation）. Different AWCD trends and DGGE patterns were got in different bacterial treatments; however, analyses of microbial diversities showed that indigenous soil microbes did not seem to have significant differences at either the catabolic or genetic level among treatments. ETS, as a commercial microbial agent, promoted plant growth and gave a higher microbial diversity in rhizosphere soil.

关键词： greenhouse tomato Bacillus subtilis Pseudomonasfluorescens qPCR biolog PCR-DGGE

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Impact of precipitation change in the Yangtze River source area on groundwater from the perspective of ground-based and satellite-based observations

Transactions in Earth, Environment, and Sustainability

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Transactions in Earth, Environment, and Sustainability 2024年第1期2卷 3 - 23页

作者： Guangyao Shi Erfu Dai Lhasa Plateau Ecosystem Research Station Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences ChinaUniversity of Chinese Academy of Sciences China

In the context of global climate change, the hydrological cycle of the Yangtze River source area has produced significant changes. It is of great practical value to study the influence of regional precipitation changes and precipitation events on regional water resources, especially groundwater. This study uses base flow segmentation and GRACE groundwater reserve calculation technology to examine precipitation’s spatial and temporal variation, especially extreme precipitation events, in the Yangtze River source area. The events analyzed were the extreme precipitation-runoff-base flow response from the Yangtze River source, the extreme precipitation-terrestrial water (surface water and groundwater) response, and the comparison of these events. The findings indicated that extremely strong precipitation, maximum precipitation for five consecutive days, days of moderate rain and above moderate rain intensity precipitation, the longest number of precipitation days, and other extreme precipitation indices had a significantly increasing trend and increased intensity of extreme precipitation events, the regional differences in precipitation trended less significantly. The base flow index gradually increased at a rate of 0.0014 yr-1, suggesting the overall increase of water resources and the contribution rate of groundwater to the runoff was an increased trend . There is a high correlation between the change of water resources in the source area and the change of precipitation, and the increased precipitation influenced an increase in groundwater and regional water resources. These findings inform current knowledge of precipitation-groundwater response mechanisms in alpine and arid regions such as the Qinghai-Tibet Plateau.

关键词： Yangtze River source precipitation extreme precipitation water resources groundwater

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N concentration of old leaves and twigs is more sensitive to stand density than that of young ones in Chinese fir plantations： a case study in subtropical China

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Journal of Forestry Research 2018年第1期29卷 163-169页

作者： Yuebao Di Xiaoli Fu Huimin Wang Wenhua Li Silong Wang Qianyanzhou Ecological Research Station Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 People's Republic of China College of Resources and Environment University of Chinese Academy of Sciences Beijing 100190 People's Republic of China Jiangxi Key Laboratory of Ecosystem Processes and Information Ji'an 343725 People's Republic of China Huitong Experimental Station of Forest Ecology Key Laboratory of Forest Ecology and Management Institute of Applied Ecology Chinese Academy of Sciences Sbenyang 110016 People' s Republic of China

Young leaves are conventionally used in the analysis to study the nutrient status of evergreen plants and their responses to environmental changes, but the role of old leaves remains poorly understood. We selected two stand types in 31-year-old Chinese fir（Cunninghamia lanceolata） plantations with similar soil conditions but different stand densities, to test the hypothesis that nitrogen（N） concentration of old leaves and twigs is more sensitive to stand density than that of young ones. Leaves and twigs were sampled and sorted into young（one-year-old） and old（two-and three-year-old） groups. Significant differences in N concentration and carbon： nitrogen ratio between the low-density stand and high-density stand were only found in the old leaves and twigs but not in the young *** the N resorption efficiency did not vary significantly with stand density, the annual N resorption rates were increased in old leaves and relatively young twigs at high stand density. These results show the potential use of old tissues in the nutrient analysis in Chinese fir plantations. Testing the generality of these results could improve the use of foliar analysis as an indicator of nutrient status and environmental changes in evergreen tree species.

关键词： Foliar analysis Twig Nitrogen Nutrient resorption Stand density

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Patterns and driving factors of WUE and NUE in natural forest ecosystems along the North-South Transect of Eastern China

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Journal of Geographical Sciences 2011年第4期21卷 651-665页

作者： SHENG Wenping REN Shujie YU Guirui FANG Huajun JIANG Chunming ZHANG Mi Key Laboratory of Ecosystem Network Observation and Modeling Synthesis Research Center of Chinese Ecosystem Research Network Institute of Geographic Sciences and Natural Resources Research CAS Beijing 100101 China Graduate University of Chinese Academy of Sciences Beijing 100094 China Institute of Applied Ecology CAS Shenyang 110016 China

From July 2008 to August 2008, 72 leaf samples from 22 species and 81 soil samples in the nine natural forest ecosystems were collected, from north to south along the North-South Transect of Eastern China （NSTEC）. Based on these samples, we studied the geographical distribution patterns of vegetable water use efficiency （WUE） and nitrogen use efficiency （NUE）, and analyzed their relationship with environmental factors. The vegetable WUE and NUE were calculated through the measurement of foliar δ 13C and C/N of predominant species, respectively. The results showed：（1） vegetable WUE, ranging from 2.13 to 28.67 mg C g-1 H2O, increased linearly from south to north in the representative forest ecosystems along the NSTEC, while vegetable NUE showed an opposite trend, increasing from north to south, ranging from 12.92 to 29.60 g C g-1 N. （2） Vegetable WUE and NUE were dominantly driven by climate and significantly affected by soil nutrient factors. Based on multiple stepwise regression analysis, mean annual temperature, soil phosphorus concentration, and soil nitrogen concentration were responding for 75.5% of the variations of WUE （p0.001）. While, mean annual precipitation and soil phosphorus concentration could explain 65.7% of the change in vegetable NUE （p0.001）. Moreover, vegetable WUE and NUE would also be seriously influenced by atmospheric nitrogen deposition in nitrogen saturated ecosystems. （3） There was a significant trade-off relationship between vegetable WUE and NUE in the typical forest ecosystems along the NSTEC （p0.001）, indicating a balanced strategy for vegetation in resource utilization in natural forest ecosystems along the NSTEC. This study suggests that global change would impact the resource use efficiency of forest ecosystems. However, vegetation could adapt to those changes by increasing the use efficiency of shortage resource while decreasing the relatively ample one. But extreme impacts, such as heavy nitrogen deposition, would break this trade

关键词： water use efficiency （WUE） nitrogen use efficiency （NUE） δ 13C C/N North-South Transect of Eastern China （NSTEC）

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Exploring the effects of crop growth differences on radar vegetation index response and crop height estimation using dynamic monitoring model

Exploring the effects of crop growth differences on radar ve...

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2024 ISPRS Technical Commission I Mid-term Symposium on Intelligent Sensing and Remote Sensing Application

作者： Wang, Bo Liu, Yu Sheng, Qinghong Li, Jun Wang, Shuwei Qiao, Yunfeng He, Honglin College of Astronautics Nanjing University of Aeronautics and Astronautics Nanjing China Changshu National Agro-Ecosystem Observation and Research Station Institute of Soil Science Chinese Academy of Sciences Nanjing China Institute of Geographic Sciences and Resources Chinese Academy of Sciences Beijing China Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China

Synthetic aperture radar (SAR) has emerged as a promising technology for monitoring crop plant height due to its ability to capture the geometric properties of crops. Radar vegetation index (RVI) has been extensively utilized for qualitative and quantitative remote sensing monitoring of vegetation growth dynamics. However, the combination of crop, growing environment, and temporal dynamics makes crop monitoring data a complex task. Despite the relatively simple underlying mechanisms of this phenomenon, there is still a need for more research to identify specific vegetation structures that correspond to changes in the response of vegetation indices. Building upon this premise, this study utilized a dynamic monitoring model to conduct dynamic monitoring of plant height for three common crops: rice, wheat, and maize. The findings revealed that (1) models developed for specific spatial and temporal scales of particular crop varieties may not accurately predict crop growth in different regions or with different varieties in a timely manner, due to growth variations;(2) these models maintain accuracy over a range of plant heights, such as rice at around 70cm, wheat at around 50cm, and maize at around 150cm;(3) among the three crops, planting density was identified as the main factor influencing the differences in RVI response. This research contributes to our comprehension of the dynamic response of RVI to different growth conditions in crops, and offers valuable insights and references for agricultural monitoring. © 2024 Bo Wang et al.

关键词： Crops

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PROJECTING THE DISTRIBUTION OF VEGETATION IN CHINA IN RESPONSE TO CLIMATE CHANGE

PROJECTING THE DISTRIBUTION OF VEGETATION IN CHINA IN RESPON...

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2010年亚洲通量网会议(Asiaflux workshop2010)

作者： Renqiang Li Yan Ouyang Ming Xu Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographical Sciences and Natural Resources ResearchChinese Academy of Sciences

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PHYSICAL PROTECTION OF SOIL AGGREGATE INHIBIT THE RESPONSE OF SOIL ORGANIC MATTER DECOMPOSITION TO TEMPERATURE CHANGE

PHYSICAL PROTECTION OF SOIL AGGREGATE INHIBIT THE RESPONSE O...

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2010年亚洲通量网会议(Asiaflux workshop2010)

作者： Hongsheng Liu Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resource ResearchChinese Academy of Sciences

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Effects of rural–urban migration on vegetation greenness in fragile areas: A case study of Inner Mongolia in China

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Journal of Geographical Sciences 2016年第3期26卷 313-324页

作者：李仕冀孙志刚谈明洪李秀彬 Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research CAS University of Chinese Academy of Sciences Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources Research CAS

Different government departments and researchers have paid considerable atten- tion at various levels to improving the eco-environment in ecologically fragile areas. Over the past decade, large numbers of people have emigrated from rural areas as a result of the rapid urbanization in Chinese society. The question then remains： to what extent does this migra- tion affect the regional vegetation greenness in the areas that people have moved from？ Based on normalized difference vegetation index （NDVI） data with a resolution of 1 km, as well as meteorological data and socio-economic data from 2000 to 2010 in Inner Mongolia, the spatio-temporal variation of vegetation greenness in the study area was analyzed via trend analysis and significance test methods. The contributions of human activities and natural factors to the variation of vegetation conditions during this period were also quantita- tively tested and verified, using a multi-regression analysis method. We found that：（1）the vegetation greenness of the study area increased by 10.1% during 2000-2010. More than 28% of the vegetation greenness increased significantly, and only about 2% decreased evi- dently during the study period. （2） The area with significant degradation showed a banded distribution at the northern edge of the agro-pastoral ecotone in central Inner Mongolia. This indicates that the eco-environment is still fragile in this area, which should be paid close at- tention. The area where vegetation greenness significantly improved showed a concentrated distribution in the southeast and west of Inner Mongolia. （3） The effect of agricultural labor on vegetation greenness exceeded those due to natural factors （i.e. precipitation and tempera- ture）. The emigration of agricultural labor improved the regional vegetation greenness sig- nificantly.

关键词： rural-urban migration agricultural labor vegetation greenness NDVI Inner Mongolia

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Tower-Based Validation and Improvement of MODIS Gross Primary Production in an Alpine Swamp Meadow on the Tibetan Plateau

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REMOTE SENSING 2016年第7期8卷

作者： Niu, Ben He, Yongtao Zhang, Xianzhou Fu, Gang Shi, Peili Du, Mingyuan Zhang, Yangjian Zong, Ning Chinese Acad Sci Inst Geog Sci & Nat Resources Res Key Lab Ecosystem Network Observat & Modeling Lhasa Plateau Ecosystem Res Stn Beijing 100101 Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China Natl Agr & Food Res Org Inst Agroenvironm Sci 3-1-3 Kannondai Tsukuba Ibaraki 3058604 Japan

Alpine swamp meadow on the Tibetan Plateau is among the most sensitive areas to climate change. Accurate quantification of the GPP in alpine swamp meadow can benefit our understanding of the global carbon cycle. The 8-day MODerate resolution Imaging Spectroradiometer (MODIS) gross primary production (GPP) products (GPP_MOD) provide a pathway to estimate GPP in this remote ecosystem. However, the accuracy of the GPP_MOD estimation in this representative alpine swamp meadow is still unknown. Here five years GPP_MOD was validated using GPP derived from the eddy covariance flux measurements (GPP_EC) from 2009 to 2013. Our results indicated that the GPP_EC was strongly underestimated by GPP_MOD with a daily mean less than 40% of EC measurements. To reduce this error, the ground meteorological and vegetation leaf area index (LAI(G)) measurements were used to revise the key inputs, the maximum light use efficiency (epsilon(max)) and the fractional photosynthetically active radiation (FPAR(M)) in the MOD17 algorithm. Using two approaches to determine the site-specific epsilon(max) value, we suggested that the suitable epsilon(max) was about 1.61 g C MJ (1) for this alpine swamp meadow which was considerably larger than the default 0.68 g C MJ(-1) for grassland. The FPAR(M) underestimated 22.2% of the actual FPAR (FPAR(G)) simulated from the LAI(G) during the whole study period. Model comparisons showed that the large inaccuracies of GPP_MOD were mainly caused by the underestimation of the epsilon(max) and followed by that of the undervalued FPAR. However, the DAO meteorology data in the MOD17 algorithm did not exert a significant affection in the MODIS GPP underestimations. Therefore, site-specific optimized parameters inputs, especially the epsilon(max) and FPAR(G), are necessary to improve the performance of the MOD17 algorithm in GPP estimation, in which the calibrated MOD17A2 algorithm (GPP_MODR3) could explain 91.6% of GPP_EC variance for the alpine swamp meadow.

关键词： alpine swamp meadow MOD17A2 algorithm eddy covariance (EC) light use efficiency (LUE) gross primary production (GPP) Tibetan Plateau

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Soil Microbial Responses to Experimental Warming and Nitrogen Addition in a Temperate Steppe of Northern China

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Pedosphere 2014年第4期24卷 427-436页

作者： SHEN Rui-Chang XU Ming CHI Yong-Gang YU Shen WAN Shi-Qiang Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographical Sciences and Natural Resources ResearchChinese Academy of Sciences University of Chinese Academy of Sciences Center for Remote Sensing and Spatial Analysis Department of EcologyEvolution and Natural ResourcesRutgers University14College Farm RoadNew Brunswick NJ 08901(USA) Key Laboratory of Urban Environment and Health Institute of Urban EnvironmentChinese Academy of Sciences Key Laboratory of Plant Stress Biology College of Life SciencesHenan University

The responses of soil microbes to global warming and nitrogen enrichment can profoundly affect terrestrial ecosystem functions and the ecosystem feedbacks to climate ***,the interactive effect of warming and nitrogen enrichment on soil microbial community is *** this study,individual and interactive effects of experimental warming and nitrogen addition on the soil microbial community were investigated in a long-term field experiment in a temperate steppe of northern *** field experiment started in 2006 and soils were sampled in 2010 and analyzed for phospholipid fatty acids to characterize the soil microbial *** soil chemical properties were also ***-year experimental warming significantly increased soil total microbial biomass and the proportion of Gram-negative bacteria in the ***-term nitrogen addition decreased soil microbial biomass at the 0-10 cm soil depth and the relative abundance of arbuscular mycorrhizal fungi in the *** interactive effect on soil microbes was detected when experimental warming and nitrogen addition were *** microbial biomass positively correlated with soil total C and N,but basically did not relate to the soil C/N ratio and *** results suggest that future global warming or nitrogen enrichment may significantly change the soil microbial communities in the temperate steppes in northern China.

关键词： arbuscular mycorrhizal fungi global warming Gram-negative bacteria nitrogen enrichment microbial biomass microbial community

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