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The relative controls of temperature and soil moisture on the start of carbon flux phenology and net ecosystem production in two alpine meadows on the Qinghai-Tibetan Plateau

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Journal of Plant Ecology 2020年第2期13卷 247-255页

作者： Xi Chai Peili Shi Minghua Song Ning Zong Yongtao He Yingnian Li Xianzhou Zhang Yanjiao Liu Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of Science11ADatun RoadChaoyang DistrictBeijing 100101China College of Resources and Environment University of Chinese Academy of SciencesNo.80 Zhongguancun East RoadHaidian DistrictBeijing 100190China Northwest Institute of Plateau Biology Chinese Academy of SciencesNo.23 Xinning roadXiningQinghai Province 810008China Beijing Zhongnong Futong Horticulture Co. Ltd.No.17 Qinghua East RoadHaidian DistrictBeijing 100083China

Aims Variations in vegetation spring phenology are widely attributed to temperature in temperate and cold ***,temperature effect on phenology remains elusive in cold and arid/semiarid ecosystems because soil water condition also plays an important role in mediating *** We used growing degree day(GDD)model and growing season index(GSI)model,coupling minimum temperature(T_(min))with soil moisture(SM)to explore the influence of heat requirement and hydroclimatic interaction on the start of carbon uptake period(SCUP)and net ecosystem productivity(NEP)in two alpine meadows with different precipitation regimes on the Qinghai-Tibet Plateau(QTP).One is the water-limited alpine steppe-meadow,and the other is the temperature-limited alpine *** Findings We observed two clear patterns linking GDD and GSI to SCUP:SCUP was similarly sensitive to variations in preseason GDD and GSI in the humid alpine shrub-meadow,while SCUP was more sensitive to the variability in preseason GSI than GDD in the semiarid alpine *** divergent patterns indicated a balance of the limiting climatic factors between temperature and water *** the humid meadow,higher temperature sensitivity of SCUP could maximize thermal benefit without drought stress,as evidenced by the stronger linear correlation coefficient(R2)and Akaike’s information criterion(AIC)between observed SCUPs and those of simulated by GDD ***,greater water sensitivity of SCUP could maximize the benefit of water in semiarid steppe-meadow,which is indicated by the stronger R2 and AIC between observed SCUPs and those of simulated by GSI ***,although SCUPs were determined by GDD in the alpine shrub-meadow ecosystem,NEP was both controlled by accumulative GSI in two alpine *** study highlights the impacts of hydroclimatic interaction on spring carbon flux phenology and vegetation productivity in the humid and semiarid alpine *** resu

关键词： growing degree day growing season index the start of carbon uptake period net ecosystem production alpine meadows Qinghai-Tibet Plateau

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Vegetation Pattern in Northern Tibet in Relation to Environmental and Geo-spatial Factors

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Journal of Resources and Ecology 2018年第5期9卷 526-537页

作者： TIAN Li ZHANG Yangjian Claus HOLZAPFEL HUANG Ke CHEN Ning TAO Jian ZHU Juntao Lhasa Plateau Ecosystem Research Station Key Laboratory of Ecosystem Network Observation and ModelingInstitute of Geographic Sciences and Natural Resources ResearchChinese Academy of Sciences＋ Beijing 100101China Chinese Academy of Sciences Center for Excellence in Tibetan Plateau Earth Sciences Belling 100101＋ China Qianyanzhou Ecological Research Station Key Laboratory of Ecosystem Network Observation and ModelingInstitute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101＋ China Department of Biological Sciences RutgersThe State University of New Jersey195 University AvenueNewark NJ 07102USA

Environmental and Geo-spatial factors have long been considered as crucial determinants of species composition and distributions. However,quantifying the relative contributions of these factors for the alpine ecosystems is lacking. The Tibetan Plateau has a unique ecological environment and vegetation types. Our objectives are to quantify the spatial distributions of plant communities on the Northern Tibetan Alpine grasslands and to explore the relationships between vegetation composition,Geo-spatial factors and environmental factors. We established 63 field plots along a 1200-km gradient on the Northern Tibetan Plateau Alpine Grassland and employed the two-way indicator species analysis（TWINSPAN） and the detrended canonical correspondence analysis（DCCA）. Fourteen communities of alpine grassland were identifiable along the transect and consisted of three vegetation types： Alpine meadow,Alpine steppe,and desert steppe. Vegetation composition and spatial distribution appeared to be largely determined by mean annual precipitation and less influenced by temperature. A large fraction（73.5%） of the variation in vegetation distribution was explained by environmental variables along this transect,somewhat less by Geo-spatial factors（56.3%）. The environmental and Geo-spatial factors explained 29.6% and 12.3% of the total variation,respectively,while their interaction explained 43.9%. Our findings provide strong empirical evidence for explaining biological and environmental synergetic relationships in Northern Tibet.

关键词： alpine grasslands environmental interpretation spatial pattern Tibetan Plateau vegetation composition

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Growth and nitrogen status of cotton(Gossypium hirsutum L.)under salt stress revealed using^(15)N-labeled fertilizer

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Journal of Plant Ecology 2022年第6期15卷 1213-1226页

作者： Tong Heng Xin-Lin He Guang Yang Li-Jun Tian Fa-Dong Li Li-Li Yang Li Zhao Yue Fengand Xuan Xu College of Science Shihezi UniversityShihezi 832003China College of Water and Architectural Engineering Shihezi University Shihezi 832003China Key Laboratory of Cenozoic Geology and Environment Institute of Geology and GeophysicsChinese Academy of SciencesBeijing 100029China University of Chinese Academy of Sciences Beijing 100049China Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources ResearchBeijing 100101China

Salt stress is a vital factor limiting nitrogen uptake and cotton growth in arid *** mechanisms underlying salt stress tolerance in cotton plants under high soil salinity have not been fully ***,the aim of this study was to examine the proportion and mechanism of cotton nitrogen uptake under salt stress using the^(15)N isotope labeling *** plants were grown in four undisturbed saline soils(1,3,6 and 9 dS m^(-1)),and the experiment was designed using the ENVIRO-GRO(E-G)*** results showed that the dry matter of roots,stems and leaves of the cotton parts in slightly saline soil(C2,3 dS m^(-1))was not significant compared with the non-saline soil(C1,1 dS m^(-1)).The cotton fruit grown in low-salinity soil(C2,3 dS m^(-1))had significantly higher dry matter than that grown in the other treatments,implying that cotton plants grown in 3 dS m^(-1)soil have the best nitrogen uptake and salt *** plants grown in weakly(C3,6 dS m^(-1))and moderately(C4,9 dS m^(-1))saline soils exhibited premature *** distribution of total nitrogen and nitrate content in cotton was the best explanatory variable of total^(15)N recovery,of which cotton^(15)N recovery was between 26.1%and 47.2%,and soil^(15)N recovery was between 7.7%and 14.9%.Our findings provide guidance for further exploitation and utilization of saline soil resources and sustainable development of the agricultural soil ecosystem in arid regions.

关键词： salt stress cotton growth nitrogen uptake ^(15)N recovery dry matter mass

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Stability of Vegetation Net Primary Productivity and Climate Impacts in China in the Following Century

全球变化数据仓储（中英文）

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全球变化数据仓储（中英文） 2023年第6期 1-3页

作者： CHEN Xing WANG Junbang HE Qifan WANG Chunyu YE Hui National Ecosystem Science Data Center Key Laboratory of Ecosystem Network Observation and ModelingInstitute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China University of Chinese Academy of Sciences Beijing 100049China College of Tourism and Geography Jiujiang UniversityJiujiang 332005JiangxiChina Qilu Normal University Jinan 205200China

In order to investigate NPP and its stability at long time scales of nearly 100 years under future climate scenarios,the authors developed the dataset of Stability of Vegetation Net Primary Productivity and Climate Impacts in China in the Following Century using HadGEM2-ES data scenarios based on the Regional Climate Model RegCM4.6 and *** dataset includes:(1)mean NPP values and their trends from 2006 to 2099 under RCP4.5 and RCP8.5 scenarios;(2)multi-year mean NPP stability values for the full(2006-2099),early(2006-2035),mid(2036-2065)and late(2066-2099)*** spatial resolution of the data is 0.1°.The dataset is archived in 17 data files with data size of 15.0 MB(Compressed into one file with 4.26 MB).One of the research results based on this dataset was published in Acta Geographica Sinica,Vol.78,No.3,2023.

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Asymmetric Ridge–Furrow and Film Cover Improves Plant Morphological Traits and Light Utilization in Rain-Fed Maize

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Journal of Meteorological Research 2018年第5期32卷 829-838页

作者： Wanlin DONG Hang YU Lizhen ZHANG Ruonan WANG Qi WANG Qingwu XUE Zhihua PAN Zhigang SUN Xuebiao PAN Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of SciencesBeijing 100101China Agricultural Meteorological Department College of Resources and Environmental SciencesChina Agricultural University China Meteorological Administration Training Centre Beijing 100081China College of Resources and Environment University of Chinese Academy of SciencesBeijing 1O0190China Wuchuan Scientific and Observing Experimental Station of Agro-Environment Ministry of Agriculture and Rural Affairs Hohhot 011700China Yushu Meteorological Service of Jilin Province Changchun 130061China Texas A&MAgriLife Research and Extension AmarilloTexas 79106-1769USA

Light is one of the most important natural resources for plant growth. Light interception （LI） and use efficiency （LUE） are often affected by the structure of canopy caused by growing pattern and agronomy managements. Agro-nomy practices, such as the ridge-furrow system and plastic film cover, might affect the leaf morphology and then light transmission within the canopy, thus change light extinction coefficient （k）, and LI and LUE. The objective of this study is to quantify LI and LUE in rain-fed maize （Zea Mays L.）, a major cropping system in Northeast China, under different combinations of ridge-furrow and film covering ratios. The tested ridge-furrow system （DRF：＂double ridges and furrows＂） was asymmetric and alternated with wide ridge （0.70 m in width and 0.15 m in height）, narrow furrow （0.10 m）, narrow ridge （0.40 m in width and 0.20 m in height）, and narrow furrow （0.10 m）. Field ex-periments were conducted in 2013 and 2014 in Jilin Province, Northeast China. Four treatments were tested： no ridges and plastic film cover （control, NRF）, ridges without film cover （DRF0）, ridges with 58% film cover （DRF58）, and ridges with 100% film cover （DRFl00）. DRF0 significantly increased LI by 9% compared with NRF, while film cover showed a marginal improvement. Specific leaf area in DRF experiments with film cover was significantly lower than in NRF, and leaf angle was 16% higher than in NRF, resulting in a 4% reduction in k. LUE of maize was not increased by DRF0, but was significantly enhanced by covering film in other DRF experiments, especially by 22% in DRF100. The increase of LUE by film cover was due to a greater biomass production and a lower assimilation portioning to vegetative organs, which caused a higher harvest index. The results could help farmers to optimize maize managements, especially in the region with decreased solar radiation under climate change.

关键词： light interception light use efficiency film mulching plant morphology ridge and furrow cultivation

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Spatial simulation of soil total potassium in regional scale for Loess Plateau Region

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Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering 2012年第22期28卷 132-140页

作者： Liu, Zhipeng Shao, Ming'an Wang, Yunqiang State Key Laboratory of Soil Erosion and Dry-Land Farming on the Loess Plateau Institute of Soil and Water Conservation Chinese Academy of Sciences and Ministry of Water Resources Yangling 712100 China Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China University of Chinese Academy of Sciences Beijing 100049 China

To understand the spatial heterogeneity of soil total potassium in regional scale for Loess Plateau Region and its influencing factors, In the study, a total of 283 sampling sites were investigated in order to estimate the spatial variation of soil total potassium (STK) across the entire Loess Plateau (620, 000 km2). Spatial simulation and classical linear regression were used to quantify the relationships between STK and bulk density, clay and silt content, soil pH, precipitation, temperature, and elevation. The best state-space models explained more than 97% of the STK variation, while the best linear regression model explained less than 26% of the STK variation. The results showed that all the state-space models described the spatial variation of STK much better than that of the corresponding linear regression models. Spatial simulation is recommended as a useful tool for quantifying spatial relationships between soil properties and the other environmental factors in large-scale regions.

关键词： Linear regression

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Assessing productivity and carbon sequestration capacity of subtropical coniferous plantations using the process model PnET-CN

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Journal of Geographical Sciences 2011年第3期21卷 458-474页

作者： YAN Yuan WANG Shaoqiang WANG Yidong WU Weixing WANG Jingyuan CHEN Bin YANG Fengting Key Laboratory of Ecosystem Network Observation and Modeling (KLENOM) Institute of Geographic Sciences and Natural Resources Research CAS Beijing 100101 China Graduate University of Chinese Academy of Sciences Beijing 100039 China School of Geography and Earth Sciences McMaster University Hamilton ON Canada Qianyanzhou Ecological Experimental Station KLENOM Institute of Geographic Sciences and Natural Resources Research CAS Beijing 100101 China

A generalized, lumped-parameter ecological model PnET-CN was calibrated and validated for a subtropical coniferous plantation in southern China. PnET-CN model describes the biogeochemical cycles of carbon （C） and nitrogen （N） and can assist in estimating carbon sequestration potential. For validation of PnET-CN, data from coniferous forest plantations in southern China was used. Simulated daily gross primary productivity （GPP） from 2005 to 2007 agreed well with observations （R2=0.56, S.D.=0.009）. Simulations of monthly soil respiration （Rs） from 2005-2007 agreed well with Rs observations （R2=0.67, S.D. =0.03）. Simu- lated annual net primary productivity （NPP） from 1998-2006 was 803＋33 gCm 2a-1, about 4% higher than NPP observation （752＋51 gCm-2a-1）. Simulations of annual NEP from 2005-2007 only overestimate 9 gCm-2a-1 （4%）, 4 gCm 2a-1 （1%） and 34 gCm 2a-1 （8%） compared to NEP observations, respectively. Simulated annual foliar N concentration （FolNCon）（1.09%） is 10% lower than observed monthly FolNCon （0.87%-1.58%）. Simulated annual N leaching （0.26 gNm-2） is about 10% lower than leaching observation （0.29 gNm-2）. PnET-CN model validation indicates that PnET-CN is capable to simulate daily GPP, annual NPP, annual NEP, monthly Rs, annual FolNCon and annual nitrate N leaching for subtropical coniferous planta- tions in southern China. The results obtained from the validation test revealed that PnET-CN model can be used to simulate carbon sequestration of planted coniferous forests in southern China to a high level of precision. Sensitivity analysis suggests that great care should be taken in developing generalizations as to how forests will respond to a changing climate. PnET-CN performed satisfactorily in comparison to other models that have already been calibrated and validated in coniferous planted subtropical forests in China. Based on PnET-CN validation and its comparison to other models, future improvement of PnET-CN should focus on seasonal foliar N dynamics a

关键词： coniferous plantations PnET-CN Model validation foliar N concentration C sequestration

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Erratum to “Seasonal change of non-point source pollution-induced bioavailable phosphorus loss: A case study of Southwestern China”

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Journal of Hydrology 2012年 438-439卷 234-235页

作者： Yang Gao Bo Zhu Tao Wang Yafeng Wang Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research CAS Beijing 100101 China Institute of Mountain Hazards and Environment CAS Chengdu 610041 China State Key Laboratory of Urban and Regional Ecology Research Center for Eco-Environmental Sciences CAS Beijing 100085 China

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Start of vegetation growing season on the Tibetan Plateau inferred from multiple methods based on GIMMS and SPOT NDVI data

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Journal of Geographical Sciences 2015年第2期25卷 131-148页

作者： DING Mingjun LI Lanhui ZHANG Yili SUN Xiaomin LIU Linshan GAO Jungang WANG Zhaofeng LI Yingnian Key Lab of Poyang Lake Wetland and Watershed Research of Ministry of Education and School of Geography and Environment Jiangxi Normal University Nanchang 330022 China Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources Research (IGSNRR) CAS Beijing 100101 China CAS Center for Excellence in Tibetan Plateau Earth Sciences Beijing 10101 China Key Laboratory of Ecosystem Network Observation and Modeling IGSNRR CAS Beijing 100101 China Northwest Institute of Plateau Biology CAS Xining 810008 China

In this study, we have used four methods to investigate the start of the growing season （SGS） on the Tibetan Plateau （TP） from 1982 to 2012, using Normalized Difference Vegetation Index （NDVI） data obtained from Global Inventory modeling and Mapping Studies （GIMSS, 1982-2006） and SPOT VEGETATION （SPOT-VGT, 1999-2012）. SGS values esti- mated using the four methods show similar spatial patterns along latitudinal or altitudinal gradients, but with significant variations in the SGS dates. The largest discrepancies are mainly found in the regions with the highest or the lowest vegetation coverage. Between 1982 and 1998, the SGS values derived from the four methods all display an advancing trend, however, according to the more recent SPOT VGT data （1999-2012）, there is no continu- ously advancing trend of SGS on the TP. Analysis of the correlation between the SGS values derived from GIMMS and SPOT between 1999 and 2006 demonstrates consistency in the tendency with regard both to the data sources and to the four analysis methods used. Com- pared with other methods, the greatest consistency between the in situ data and the SGS values retrieved is obtained with Method 3 （Threshold of NDVI ratio）. To avoid error, in a vast region with diverse vegetation types and physical environments, it is critical to know the seasonal change characteristics of the different vegetation types, particularly in areas with sparse grassland or evergreen forest.

关键词： phenology NDVI start of vegetation growing season method Tibetan Plateau

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Estimation of winter wheat yield using optimal vegetation indices from unmanned aerial vehicle remote sensing

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Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering 2018年第11期34卷 78-86页

作者： Zhu, Wanxue Li, Shiji Zhang, Xubo Li, Yang Sun, Zhigang Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academic of Science Beijing100101 China College of Resources and Environment University of Chinese Academy of Sciences Beijing100049 China Shandong Dongying Institute of Geographic Sciences Institute of Geographic Sciences and Natural Resources Research Chinese Academic of Science Dongying257000 China

Fast and accurate prediction of crop yield at field scale is an effective way to optimize agricultural management by government or local farmers for improving agriculture production. Compared with satellite remote sensing, unmanned aerial vehicle (UAV) remote sensing monitoring system has some advantages, such as obtaining images at high spatial resolution rapidly and cost-effectively, and flying under the clouds at low altitude. The complex equations and methods were commonly used to improve accuracy of yield prediction, but lacked quickness and simplicity. Thus, the object of this study was to: 1) Explore the optimal vegetation index (VI) and operation time to enhance the accuracy and quickness of yield prediction by wing-fixed UAV during wheat growing season. 2) Verify and improve the applicability of this method based on satellite remote sensing to UAV remote sensing research. The study was carried out 3 times i.e. from green to jointing stage, from the heading to filling stage, and the maturation stage during winter wheat growing season in 2016 in Binzhou City, which is in northwestern Shandong Province. In order to get stable winter wheat canopy multi-spectral datum, the cloudless and calm weather with better lighting conditions were selected to conduct the monitoring. Whiteboard data were collected before each monitoring event for later radiation correction. UAV remote sensing images with a spatial resolution of 0.16 m were generated after radiation correction, image mosaic and orthographical correction. In addition, 9 common vegetation indices (VIs) were calculated from green, red, red edge and near-infrared images, including EVI2 (enhanced vegetation index without a blue band), MSAVI2 (modified secondary soil adjusted vegetation index), OSAVI (optimized soil adjusted vegetation index), NDVI (normalized difference vegetation index), SAVI (soil adjusted vegetation index), MCARI (modified chlorophyll absorption ratio index), MTVI1 (modified triangular vegetati

关键词： Crops

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