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Seasonal and inter-annual variations in carbon fluxes and evapotranspiration over cotton field under drip irrigation with plastic mulch in an arid region of Northwest China

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Journal of Arid Land 2015年第2期7卷 272-284页

作者： Jie BAI Jin WANG Xi CHEN Ge Ping LUO Hao SHI Long Hui LI Jun Li LI State Key Laboratory of Desert and Oasis Ecology Xinjiang Institute of Ecology and Geography Chinese Academy of Sciences wulanwusu agrometeorological experiment station Shihezi Meteorological Administration Plant Functional Biology & Climate Change Cluster University of Technology

xinjiang is the largest semi-arid and arid region in China, and drip irrigation under plastic mulch is widely used in this water-limited area. Quantifying carbon and water fluxes as well as investigating their environ- mental drivers over cotton fields is critical for understanding regional carbon and water budgets in xinjiang, the largest cotton production basin of China. In this study, an eddy covariance （EC） technique was used to measure the carbon and water fluxes of cotton field under drip irrigation with plastic mulch in the growing seasons of 2009, 2010, 2012 and 2013 at wulanwusu agrometeorological experiment station, a representative oasis cropland in northern xinjiang. The diurnal patterns of gross primary production （GPP）, net ecosystem exchange （NEE） and evapotran-spiration （ET） showed obviously sinusoidal variations from June to September, while the diurnal ecosystem respiration （Res） was stable between daytime and nighttime. The daytime hourly GPP and ET displayed asymptotic rela-tionships with net solar radiation （Rnet）, while showed concave patterns with raising vapor pressure deficit （VPD） and air temperature （Ta）. The increases in hourly GPP and ET towards the maximum occurred over half ranges of VPD and Ta. The seasonal variations of GPP, NEE and ET were close to the cotton phenology, which almost reached the peak value in July. The cumulative GPP averaged 816.2±55.0 g C/m^2 in the growing season （from April to October）, and more than half of GPP was partitioned into NEE （mean value of -478.6±41.4 g C/m^2）. The mean seasonal ET was 501.3±13.9 mm, and the mean water use efficiency （WUE） was 1.0＋0.1 （mg C/g H2O）/d. The agro-ecosystem behaved as a carbon sink from squaring to harvest period, while it acted as a carbon source before the squaring time as well as after the harvest time.

关键词： cotton eddy covariance net ecosystem exchange (NEE) carbon budget water use efficiency (WUE)

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Effects of cotton field management practices on soil CO2 emission and C balance in an arid region of Northwest China

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Journal of Arid Land 2014年第4期6卷 468-477页

作者： QianBing ZHANG Ling YANG ZhenZhu XU YaLi ZHANG HongHai LUO Jin WANG WangFeng ZHANG Key Laboratory of Oasis Ecology Agriculture of xinjiang Production and Construction Groups College of Agriculture Shihezi University College of Animal Science & Technology Shihezi University State Key Laboratory of Vegetation and Environmental Change Institute of Botany Chinese Academy of Sciences wulanwusu agrometeorological experiment station of xinjiang

Changes in both soil organic C storage and soil respiration in farmland ecosystems may affect atmospheric CO2 concentration and global C cycle. The objective of this field experiment was to study the effects of three crop field management practices on soil CO2 emission and C balance in a cotton field in an arid region of Northwest China. The three management practices were irrigation methods（drip and flood）, stubble managements（stubble-incorporated and stubble-removed） and fertilizer amendments（no fertilizer（CK）, chicken manure（OM）, inorganic N, P and K fertilizer（NPK）, and inorganic fertilizer plus chicken manure（NPK＋OM））. The results showed that within the C pool range, soil CO2 emission during the whole growing season was higher in the drip irrigation treatment than in the corresponding flood irrigation treatment, while soil organic C concentration was larger in the flood irrigation treatment than in the corresponding drip irrigation treatment. Furthermore, soil CO2 emission and organic C concentration were all higher in the stubble-incorporated treatment than in the corresponding stubble-removed treatment, and larger in the NPK＋OM treatment than in the other three fertilizer amendments within the C pool range. The combination of flood irrigation, stubble incorporation and application of either NPK＋OM or OM increased soil organic C concentration in the 0-60 cm soil depth. Calculation of net ecosystem productivity（NEP） under different management practices indicated that the combination of drip irrigation, stubble incorporation and NPK＋OM increased the size of the C pool most, followed by the combination of drip irrigation, stubble incorporation and NPK. In conclusion, management practices have significant impacts on soil CO2 emission, organic C concentration and C balance in cotton fields. Consequently, appropriate management practices, such as the combination of drip irrigation, stubble incorporation, and either NPK＋OM or NPK could increase soil C storage in cott

关键词： arid region oasis cotton field management practices soil C balance soil organic C soil respiration

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Carbon cycle in response to residue management and fertilizer application in a cotton field in arid Northwest China

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Journal of Integrative Agriculture 2019年第5期18卷 1103-1119页

作者： ZHANG Peng-peng XU Shou-zhen ZHANG Guo-juan PU Xiao-zhen WANG Jin ZHANG Wang-feng The Key Laboratory of Oasis Eco-agriculture Xinjiang Production and Construction Corps Agricultural College Shihezi University College of Life Science Shihezi University wulanwusu Agro-meteorological experiment station of xinjiang

Understanding the influence of farming practices on carbon(C) cycling is important for maintaining soil quality and mitigating climate change, especially in arid regions where soil infertility, water deficiency, and climate change had significantly influenced on agroecosystem. A field experiment was set up in 2009 to examine the influence of residue management and fertilizer application on the C cycle in a cotton field in the xinjiang Uygur Autonomous Region of Northwest China. The study included two residue management practices(residue incorporation(S) and residue removal(NS)) and four fertilizer treatments(no fertilizer(CK), organic manure(OM), chemical fertilizer(NPK), chemical fertilizer plus organic manure(NPK+OM)). Soil organic carbon(SOC) and some of its labile fractions, soil CO_2 flux, and canopy apparent photosynthesis were measured during the cotton growing seasons in 2015 and 2016. The results showed that SOC, labile SOC fractions, canopy apparent photosynthesis, and soil CO_2 emission were significantly greater in S+NPK+OM(residue incorporation+chemical fertilizer) than in the other treatments. Analysis of all data showed that canopy apparent photosynthesis and soil CO_2 emission increased as SOC increased. The S+OM(residue incorporation+organic manure) and S+NPK+OM treatments were greater for soil C sequestration, whereas the other treatments resulted in soil C loss. The S+NPK treatment is currently the standard management practice in xinjiang. The results of this study indicate that S+NPK cannot offset soil C losses due to organic matter decomposition and autotrophic respiration. Residue return combined with NPK fertilizer and organic manure application is the preferred strategy in arid regions for increasing soil C sequestration.

关键词： residue fertilizer SOC pool canopy apparent photosynthesis soil respiration soil C balance

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Yields,growth and water use under chemical topping in relations to row configuration and plant density in drip-irrigated cotton

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Journal of Cotton Research 2024年第2期7卷 123-136页

作者： Wang Xuejiao Hu Yanping Ji Chunrong Chen Yongfan Sun Shuai Zhang Zeshan Zhang Yutong Wang Sen Yang Mingfeng Ji Fen Guo Yanyun Li Jie Zhang Lizhen xinjiang Agriculture Network Information Center Xinjiang Agrometeorological ObservatoryUrumqi 830002China College of Resources and Environmental Sciences Xinjiang Agricultural UniversityUrumqi 830091China College of Resources and Environmental Sciences China Agricultural UniversityBeijing 100193China China Meteorological Administration Institute of Desert MeteorologyUrumqi 830002China wulanwusu agrometeorological station Shihezi 832199China xinjiang Academy of Agricultural Sciences China National Cotton R&D CenterUrumqi 830091China

Background Water deficit is an important problem in agricultural production in arid *** the advent of wholly mechanized technology for cotton planting in xinjiang,it is important to determine which planting mode could achieve high yield,fiber quality and water use efficiency(WUE).This study aimed to explore if chemical topping affected cotton yield,quality and water use in relation to row configuration and plant *** experiments were carried out in xinjiang China,in 2020 and 2021 with two topping method,manual topping and chemical topping,two plant densities,low and high,and two row configurations,i.e.,76 cm equal rows and 10+66 cm narrow-wide rows,which were commonly applied in matching harvest *** topping increased seed cotton yield,but did not affect cotton fiber quality comparing to traditional manual *** equal row spacing,the WUE in higher density was 62.4%higher than in the lower ***,under narrow-wide row spacing,the WUE in lower density was 53.3%higher than in higher one(farmers’practice).For machine-harvest cotton in xinjiang,the optimal row configuration and plant density for chemical topping was narrow-wide rows with 15 plants m-2 or equal rows with 18 plants *** The plant density recommended in narrow-wide rows was less than farmers’practice and the density in equal rows was moderate with local *** results provide new knowledge on optimizing agronomic managements of machine-harvested cotton for both high yield and water efficient.

关键词： Yield components Fiber quality Transpiration Water use efficiency Heat ratio method(HRM)

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Effects of Irrigation Water Quality and Drip Tape Arrangement on Soil Salinity,Soil Moisture Distribution,and Cotton Yield (Gossypium hirsutum L.) Under Mulched Drip Irrigation in xinjiang,China

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Journal of Integrative Agriculture 2012年第3期11卷 502-511页

作者： LIU Mei-xian YANG Jing-song LI Xiao-ming YU Mei WANG Jin Institute of Soil Science Chinese Academy of Sciences Nanjing 210008 P.R. China Water Conservancy Bureau of Yuhuatai Nanjing 210012 P.R. China wulanwusu Agro-Meteorological experiment station Shihezi 832021 P.R.China

More and more attention is being focused on saline water utilization in irrigation due to the shortage of fresh water to agriculture in many regions. For purpose of reducing the risks of using of saline water for irrigation, the mechanism of soil moisture and salinity distribution and transport should be well understood for developing optimum management strategies. In this paper, field experiments were carried out at Junggar Basin, China, to study the effects of drip irrigation water quality and drip tape arrangement on distribution of soil salinity and soil moisture. Six treatments were designed, including two drip tape arrangement modes and three irrigation water concentration levels （0.24, 4.68, and 7.42 dS m^-l）. Results showed that, soil moisture content （SMC） directly beneath the drip tape in all treatments kept a relatively high value about 18% before boll opening stage; the SMC in the narrow strip in single tape arrangement （Ms） plot was obviously lower than that in the double tapes arrangement （Md） plot, indicating that less sufficient water was supplied under the same condition of irrigation depth, but there was no significant reduction in yield. Mulching had not significant influence on salt accumulation but the drip tape arrangement, under the same condition of irrigation water depth and quality, compared with Md, Ms reduced salt accumulation in root zone and brought about relatively high cotton yield.

关键词： cotton drip tape arrangement mulched drip irrigation water quality

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Hot spot tracking of flood remote sensing research over the past 22 years:abibliometric analysis using CiteSpace

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地球环境学报 2024年第4期15卷 612-623页

作者： HUO Hong LIU Yan LI Yang Institute of Desert Meteorology China Meteorological AdministrationUrumqi 830002China wulanwusu Ecology and Agrometeorology Observation and Research station of xinjiang Urumqi 830002China Field Scientific experiment Base of Akdala Atmospheric Background China Meteorological AdministrationUrumqi 830002China Meteorological and Technical Equipment Support Center of xinjiang Uygur Autonomous Region Xinjiang 830002China

Background,aim,and scope In the context of climate change,extreme precipitation and resulting flooding events are becoming increasingly *** sensing technologies are advantageous for monitoring such disasters due to their wide observation range,periodic revisit capabilities,and continuous spatial *** tools enable real-time and quantitative assessment of flood *** the past 20 years,the field of remote sensing for floods has seen significant *** the evolution of research hotspots within this field can offer valuable insights for future research *** and methods This study systematically analyzes the development and hotspot evolution in the field of flood remote sensing,both domestically and internationally during 2000—*** from CNKI(China National Knowledge Infrastructure)and WOS(Web of Science)databases are utilized for this ***(1)A total of 1693 articles have been published in this field,showing a stable growth trend *** contributors include the Chinese Academy of Sciences,Beijing Normal University,Wuhan University,the Italian National Research Council,and National Aeronautics and Space Administration.(2)High-frequency keywords from 2000 to 2021 include“remote sensing”“flood”“model”“classification”“GIS”“climate change”“area”,and“MODIS”.(3)The most prominent keywords were“GIS”(8.65),“surface water”(7.16),“remote sensing”(7.07),“machine learning”(6.52),and“sentinel-2”(5.86).(4)Thirteen cluster labels were identified through clustering,divided into three phases:2000—2009(initial exploratory stage),2010—2014(period of rapid development),and 2015—2021(steady development of remote sensing for floods and related disasters).Discussion The field exhibits strong phase-based development,with research focuses shifting over *** 2000 to 2009,emphasis was on remote sensing image application and flood model *** 2010 to 2014,the focus shifted to accurate inte

关键词： flood remote sensing CiteSpace review knowledge graph analysis

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