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Seasonal compensation implied no weakening of the land carbon sink in the Northern Hemisphere under the 2015/2016 El Niño

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Science China Earth sciences 2024年第1期67卷 281-294页

作者： Fangzhong SHI Xiuchen WU Xiaoyan LI Philippe CIAIS Hongyan LIU Chao YUE Yuting YANG Shulei ZHANG Shushi PENG Yi YIN Benjamin POULTER Deliang CHEN State Key Laboratory of Earth Surface Processes and Resource Ecology Beijing Normal UniversityBeijing 100875China Faculty of Geographical Science Beijing Normal UniversityBeijing 100875China Key Laboratory of Tibetan Plateau Land Surface Processes and Ecological Conservation Qinghai Normal UniversityXining 810016China Research and Development Center for Watershed Environmental Eco-Engineering Beijing Normal University(Zhuhai)Zhuhai 519085China Laboratoire des sciences du Climat et de l’Environnement(LSCE) CEA-CNRS-UVSQUMR821291191Gif-sur-YvetteFrance College of Urban and Environmental Science MOE Laboratory for Earth Surface ProcessesPeking UniversityBeijing 100871China State Key Laboratory of Hydroscience and Engineering Department of Hydraulic EngineeringTsinghua UniversityBeijing 100084China Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai) School of Atmospheric SciencesSun Yat-sen UniversityGuangzhou 510275China California Institute of Technology PasadenaCA 91125USA biospheric sciences Laboratory NASA Goddard Space Flight CenterGreenbeltMaryland 20771USA Regional Climate Group Department of Earth SciencesUniversity of GothenburgGothenburg SE-40530Sweden

The recurrent extreme El Niño events are commonly linked to reduced vegetation growth and the land carbon sink over many but discrete regions of the Northern Hemisphere(NH).However,we reported here a pervasive and continuous vegetation greening and no weakened land carbon sink in the maturation phase of the 2015/2016 El Niño event over the NH(mainly in the extra-tropics),based on multiple evidences from remote sensing observations,global ecosystem model simulations and atmospheric CO_(2)*** discovered a significant compensation effect of the enhanced vegetation growth in spring on subsequent summer/autumn vegetation growth that sustained vegetation greening and led to a slight increase in the land carbon sink over the spring and summer of 2015(average increases of 23.34%and 0.63%in net ecosystem exchange from two independent datasets relative to a 5-years average before the El Niño event,respectively)and spring of 2016(6.82%),especially in the extra-tropics of the NH,where the water supply during the pre-growing-season(November of the previous year to March of the current year)had a positive *** seasonal compensation effect was much stronger than that in 1997 and 1998 and significantly alleviated the adverse impacts of the 2015/2016 El Niño event on vegetation growth during its maturation *** legacy effect of water supply during the pre-growing-season on subsequent vegetation growth lasted up to approximately six *** findings highlight the role of seasonal compensation effects on mediating the land carbon sink in response to episodic extreme El Niño events.

关键词： El Niño Seasonal compensation effect Vegetation greening Land carbon sink Net ecosystem exchange Legacy effect

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Characterization of ASTER GDEM elevation data over vegetated area compared with lidar data

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International Journal of Digital Earth 2015年第3期8卷 198-211页

作者： Wenjian Ni Guoqing Sun Kenneth J.Ranson State Key Laboratory of Remote Sensing Science Institute of Remote Sensing and Digital EarthChinese Academy of SciencesBeijingChina Department of Geographical sciences University of MarylandCollege ParkMDUSA biospheric sciences branch NASA’s Goddard Space Flight CenterGreenbeltMDUSA

Current researches based on areal or spaceborne stereo images with very high resolutions(<1 m)have demonstrated that it is possible to derive vegetation height from stereo *** second version of the Advanced Spaceborne Thermal Emission and Reflection Radiometer Global Digital Elevation Model(ASTER GDEM)is the state-of-the-art global elevation data-set developed by stereo ***,the resolution of ASTER stereo images(15 m)is much coarser than areal stereo images,and the ASTER GDEM is compiled products from stereo images acquired over 10 *** forest disturbances as well as forest growth are inevitable in 10 years time *** this study,the features of ASTER GDEM over vegetated areas under both flat and mountainous conditions were investigated by comparisons with lidar *** factors possibly affecting the extraction of vegetation canopy height considered include(1)co-registration of DEMs;(2)spatial resolution of digital elevation models(DEMs);(3)spatial vegetation structure;and(4)terrain *** results show that the accurate coregistration between ASTER GDEM and national elevation dataset(NED)is necessary over mountainous *** correlation between ASTER GDEM minus NED and vegetation canopy height is improved from 0.328 to 0.43 by degrading resolutions from 1 arc-second to 5 arc-second and further improved to 0.6 if only homogenous vegetated areas were considered.

关键词： vegetation canopy height ASTER GDEM NED photogrammetry stereo-mapping

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Making the Genotypic Variation Visible:Hyperspectral Phenotyping in Scots Pine Seedlings

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Plant Phenomics 2023年第4期5卷 790-804页

作者： Jan Stejskal Jaroslav Čepl Eva Neuwirthová Olusegun Olaitan Akinyemi Jiří Chuchlík Daniel Provazník Markku Keinänen Petya Campbell Jana Albrechtová Milan Lstiburek Zuzana Lhotáková Department of Genetics and Physiology of Forest Trees Faculty of Forestry and Wood SciencesCzech University of Life Sciences PraguePragueCzech Republic Department of Environmental and Biological sciences University of Eastern FinlandJoensuuFinland Department of Experimental Plant Biology Charles UniversityPragueCzech Republic Center for Photonic sciences University of Eastern FinlandJoensuuFinland Department of Geography and Environmental sciences University of Maryland Baltimore CountyBaltimoreMDUSA biospheric sciences Laboratory NASA Goddard Space Flight CenterGreenbeltMDUSA

Hyperspectral reflectance contains valuable information about leaf functional traits,which can indicate a plant's physiological ***,using hyperspectral reflectance for high-throughput phenotyping of foliar traits could be a powerful tool for tree breeders and nursery practitioners to distinguish and select seedlings with desired adaptation potential to local *** evaluated the use of 2 nondestructive methods(i.e.,leaf and proximal/canopy)measuring hyperspectral reflectance in the 350-to 2,500-nm range for phenotyping on 1,788 individual Scots pine seedlings belonging to lowland and upland ecotypes of 3 different local populations from the Czech ***-level measurements were collected using a spectroradiometer and a contact probe with an internal light source to measure the biconical reflectance factor of a sample of needles placed on a black background in the contact probe field of *** proximal canopy measurements were collected under natural solar light,using the same spectroradiometer with fiber optical cable to collect data on individual seedlings'hemispherical conical reflectance *** latter method was highly susceptible to changes in incoming *** spectral datasets showed statistically significant differences among Scots pine populations in the whole spectral ***,using random forest and support vector machine learning algorithms,the proximal data obtained from the top of the seedlings offered up to 83%accuracy in predicting 3 different Scots pine *** conclude that both approaches are viable for hyperspectral phenotyping to disentangle the phenotypic and the underlying genetic variation within Scots pine seedlings.

关键词： Scots forest reflectance

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Development of an operational land water mask for MODIS Collection 6,and influence on downstream data products

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International Journal of Digital Earth 2017年第2期10卷 207-218页

作者： M.L.Carroll C.M.DiMiceli J.R.G.Townshend R.A.Sohlberg A.I.Elders S.Devadiga A.M.Sayer R.C.Levy NASA/GSFC biospheric sciences Laboratory GreenbeltMDUSA Science Systems and Applications Inc. LanhamMDUSA Department of Geographical sciences University of MarylandCollege ParkMDUSA Atmospheric Oceanic and Earth SciencesGeorge Mason UniversityFairfaxVAUSA NASA/GSFC Terrestrial Information Systems Laboratory GreenbeltMDUSA fGoddard Earth sciences Technology and Research Universities Space Research AssociationGreenbeltMDUSA NASA/GSFC Climate and Radiation Laboratory GreenbeltMDUSA

Data from the Moderate Resolution Imaging Spectro-radiometer(MODIS)on-board the Earth Observing System Terra and Aqua satellites are processed using a land water mask to determine when an algorithm no longer needs to be run or when an algorithm needs to follow a different *** the fourth reprocessing(Collection 6(C6))the MODIS team replaced the 1 km water mask with a 500 m water mask for improved representation of the continental *** new water mask represents more small water bodies for an overall increase in water surface from 1%to 2%of the continental *** this is still a small fraction of the overall global surface area the increase is more dramatic in certain areas such as the Arctic and Boreal regions where there are dramatic increases in water surface area in the new *** products generated by the on-going C6 reprocessing using the new land water mask show significant impact in areas with high concentrations of change in the land water *** differences between the Collection 5(C5)and C6 water masks and the impact of these differences on the MOD04 aerosol product and the MOD11 land surface temperature product are shown.

关键词： Earth observation image processing land cover remote sensing water resources

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Reductions in productivity due to land degradation in the drylands of the southwestern United States

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Ecosystem Health and Sustainability 2015年第8期1卷 14-29页

作者： Praveen Noojipady Stephen D.Prince Khaldoun Rishmawi Department of Geographical sciences University of MarylandCollege Park Maryland 20742 USA biospheric sciences Laboratory NASA/Goddard Space Flight CenterGreenbelt Maryland 20771 USA The Applied Research Institute JerusalemP.O.Box 860Karm Mu'ammarKarkafeh StBethlehemPalestine

Dryland degradation has long been recognized at regional,national,and global scales,yet there are no objective assessments of its location and *** assessment of reductions in net primary production(NPP)due to dry land degradation in the southwestern United States is *** local NPP scaling(LNS)approach was applied to map the extent and magnitude of degrada *** seeks to identifty reference sites in which there is no degradation that can be used as a standard for comparison with other sites that share the same environment,except for *** years were analyzed(2000--2011),using Normalized Difference Vegetation Index(NDVI)data(250 m)from the Moderate Resolution Imaging Spectroradiometer(MODIS)satellite-borne multispectral *** results indicated that the total NPP reductions in the study area were about35.9±4.7Tg C/yr,which equates to 0.31±0.04 Mg C·ha^(-1)· yr^(-1).The NPP reductions in grassland-savanna and livestock grazing areas were large and mostly consistent between years in spite of large variations in overall NPP caused by differences in land-use,interannual variations in rainfall,and other aspects of *** comparison with other cover types,forested land generally had higher NPP reduction per unit *** maps also enable attribution of degradation from the finest management units to entire agencies,such as the Bureau of Land Management,which had 50%less production per unit area than the *** *** degradation within Native American land was low with total NPP reduction of about 2.41±0.24 Tg C/yr and unit area reduction of productivity of just 0.21±0.02 Mg C·ha^(-1)·yr^(-1),yet the percent reduction from potential was in equivalence with other land management agencies.

关键词： degradation drylands ecosystem health MODIS NDVI NPP rangelands reference conditions southwestern United States.

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季节补偿效应导致2015/2016厄尔尼诺期间北半球未发生明显的碳汇降低

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中国科学：地球科学 2024年第1期54卷 294-308页

作者：石芳忠吴秀臣李小雁 Philippe CIAIS 刘鸿雁岳超杨雨亭张树磊彭书时印轶 Benjamin POULTER 陈德亮北京师范大学地表过程与资源生态国家重点实验室北京100875 北京师范大学地理科学学部北京100875 青海师范大学青藏高原地表过程与生态保育教育部重点实验室西宁810016 北京师范大学珠海校区流域环境生态工程研发中心珠海519085 Laboratoire des sciences du Climat et de l’Environnement(LSCE) CEA-CNRS-UVSQUMR8212Gif-sur-Yvette 91191France 北京大学城市与环境科学学院地表过程教育部重点实验室北京100871 清华大学水利工程系水沙科学与水利水电工程国家重点实验室北京100084 中山大学大气科学学院南方海洋科学与工程广东省重点实验室(珠海) 广州510275 California Institute of Technology PasadenaCA 91125USA biospheric sciences Laboratory NASA Goddard Space Flight CenterGreenbeltMaryland 20771USA Regional Climate Group Department of Earth SciencesUniversity of GothenburgGothenburg SE-40530Sweden

厄尔尼诺事件通常在北半球导致广泛的植被生长下降和碳汇降低.然而,基于遥感观测、全球陆地生态系统模型模拟及大气CO_(2)反演多套数据,本研究表明在2015/2016厄尔尼诺成熟阶段,北半球(主要为热带之外的区域)植被普遍持续增绿,陆地碳汇... 详细信息

厄尔尼诺事件通常在北半球导致广泛的植被生长下降和碳汇降低.然而,基于遥感观测、全球陆地生态系统模型模拟及大气CO_(2)反演多套数据,本研究表明在2015/2016厄尔尼诺成熟阶段,北半球(主要为热带之外的区域)植被普遍持续增绿,陆地碳汇未见减弱.研究结果发现,春季植被生长增强对随后的夏季和秋季植被生长有明显的补偿效应,这种补偿效应维持了夏季植被增绿,并导致2015年春季、夏季及2016年春季陆地碳汇略有增加,特别是在生长季前期(前一年的11月至当年的3月)水分供应增加的北半球热带之外的区域.两套独立数据集结果表明,相对于厄尔尼诺事件发生前5年均值, 2015年春季和夏季陆地碳汇分别平均增加23.34%和0.63%, 2016年春季平均增加6.82%.同时,相较于1997/1998厄尔尼诺事件,更强的季节补偿效应有效地缓解了2015/2016年厄尔尼诺事件对植被生长的不利影响.本研究进一步明确,生长季前期的供水对后续植被生长的遗留效应能够持续约6个月.该研究结果凸显了季节补偿效应在应对偶发性极端厄尔尼诺事件时对植被生长和陆地碳汇的调节作用.

关键词：厄尔尼诺季节补偿效应植被增绿陆地碳汇净生态系统交换遗产效应

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Evaluation of stereology for snow microstructure measurement and microwave emission modeling:a case study

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International Journal of Digital Earth 2021年第10期14卷 1316-1336页

作者： Jinmei Pan M.T.Durand Z.Courville B.J.Vander Jagt N.P.Molotch S.A.Margulis E.J.Kim M.Schneebeli C.Mätzler State Key Laboratory of Remote Sensing Science Aerospace Information Research InstituteChinese Academy of SciencesBeijingPeople’s Republic of China School of Earth Science and Byrd Polar Research Center The Ohio State UniversityColumbusOHUSA US Army Corps of Engineers Cold Regions Research and Engineering Laboratory HanoverNHUSA Geography Department and Institute of Arctic and Alpine Research University of ColoradoBoulderCOUSA Department of Civil and Environmental Engineering University of CaliforniaLos AngelesCAUSA Hydrospheric and biospheric sciences Laboratory NASA Goddard Space Flight CenterGreenbeltMDUSA WSL Institute for Snow and Avalanche Research SLF Davos DorfSwitzerland Institute of Applied Physics and Oeschger Centre for Climate Change Research University of BernBernSwitzerland

Reliablemicrostructuremeasurement of snow is a requirement for microwave radiative transfer model *** specific surface area(SSA)can be measured using stereological methods,in which snow samples are cast in the field and photographed in the *** stereology photographs manually by counting intersections of test cycloids with air-ice boundaries reduces the problems in binary *** paper is a case study to evaluate the repeatability of the manually stereology interpretation by two independent research *** further assessed how uncertainty in snow SSA influences simulated brightness temperature(TB)driven by the Microwave Emission Model of Layered Snowpacks(MEMLS),and how stereology compares to Near Infrared(NIR)camera and hand *** was obtained from two alpine snow profiles from Steamboat Springs,*** showed that stereological SSA values measured by two groups are highly consistent,and the ground radiometer measured T_(B)at 19 and 37 GHz was successfully predicted(RMSE<3.8 K);simulations using NIR SSA and hand-lens geometric grain size(Dg)measurements have larger *** conclusion was not sensitive to uncertainty in the free parameters of TB modeling.

关键词： Microwave radiometry snow stereology snow microstructure MEMLS

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Empirical estimates of regional carbon budgets imply reduced global soil heterotrophic respiration

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National Science Review 2021年第2期8卷 60-73页

作者： Philippe Ciais Yitong Yao Thomas Gasser Alessandro Baccini Yilong Wang Ronny Lauerwald Shushi Peng Ana Bastos Wei Li Peter A.Raymond Josep G.Canadell Glen P.Peters Rob J.Andres Jinfeng Chang Chao Yue A.Johannes Dolman Vanessa Haverd Jens Hartmann Goulven Laruelle Alexandra G.Konings Anthony W.King Yi Liu Sebastiaan Luyssaert Fabienne Maignan Prabir K.Patra Anna Peregon Pierre Regnier Julia Pongratz Benjamin Poulter Anatoly Shvidenko Riccardo Valentini Rong Wang Grégoire Broquet Yi Yin Jakob Zscheischler Bertrand Guenet Daniel S.Goll Ashley-P.Ballantyne Hui Yang Chunjing Qiu Dan Zhu State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau Northwest A&F University CSIRO Oceans and Atmosphere 15. Institute for Geology CEN—Center for Earth System Research and SustainabilityUniversity of Hamburg 16. Department of Earth System ScienceStanford University 17. Department of Earth System ScienceStanford UniversityStanford 18. School of Geographical SciencesNanjing University of Information Science and Technology 19. Department of Ecological SciencesVrije Universiteit Amsterdam 20. Research Institute for Global ChangeJAMSTEC Laboratoire des sciences du Climat et de l'Environnement CEA-CNRS-UVSQ-UPSACLAY Center for Environmental Remote Sensing Chiba University Institute of Soil Science and Agrochemistry Siberian Branch of the Russian Academy of Sciences (SB RAS) Tuva State University Republic of Tuva Max Planck Institute for Meteorology NASA Goddard Space Flight Center Biospheric Sciences Lab. 26. Department for Innovation in BiologicalAgro-food and Forest systems (DIBAF)University of Tuscia RUDN University Department of Environmental Science and Engineering Shanghai Key Laboratory of Atmospheric Particle Pollution and PreventionInstitute of Atmospheric SciencesFudan University 29. Division of Geological and Planetary SciencesCalifornia Institute of Technology 30. Climate and Environmental Physics and Oeschger Centre for Climate Change ResearchUniversity of Bern 31. Department of Ecosystem and Conservation Sci

Resolving regional carbon budgets is critical for informing land-based mitigation policy. For nine regions covering nearly the whole globe, we collected inventory estimates of carbon-stock changes complemented by satellite estimates of biomass changes where inventory data are missing. The net land–atmospheric carbon exchange(NEE) was calculated by taking the sum of the carbon-stock change and lateral carbon fluxes from crop and wood trade, and riverine-carbon export to the ocean. Summing up NEE from all regions, we obtained a global ‘bottom-up’ NEE for net land anthropogenic CO2uptake of –2.2 ± 0.6 Pg C yr-1consistent with the independent top-down NEE from the global atmospheric carbon budget during 2000–2009. This estimate is so far the most comprehensive global bottom-up carbon budget accounting, which set up an important milestone for global carbon-cycle studies. By decomposing NEE into component fluxes, we found that global soil heterotrophic respiration amounts to a source of CO2of 39 Pg C yr-1with an interquartile of 33–46 Pg C yr-1—a much smaller portion of net primary productivity than previously reported.

关键词： carbon budget human appropriation of ecosystems soil carbon

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Assessment of the biospheric Contribution to Surface Atmospheric CO2 Concentrations over East Asia with a Regional Chemical Transport Model

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Advances in Atmospheric sciences 2015年第3期32卷 287-300页

作者： KOU Xingxia ZHANG Meigen PENG Zhen WANG Yinghong State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry Institute of Atmospheric Physics Chinese Academy of Sciences University of Chinese Academy of sciences School of Atmospheric sciences Nanjing University

A regional chemical transport model, RAMS-CMAQ, was employed to assess the impacts of biosphere–atmosphere CO2 exchange on seasonal variations in atmospheric CO2 concentrations over East Asia. Simulated CO2 concentrations were compared with observations at 12 surface stations and the comparison showed they were generally in good agreement. Both observations and simulations suggested that surface CO2 over East Asia features a summertime trough due to biospheric absorption, while in some urban areas surface CO2 has a distinct summer peak, which could be attributed to the strong impact from anthropogenic emissions. Analysis of the model results indicated that biospheric fluxes and fossil-fuel emissions are comparably important in shaping spatial distributions of CO2 near the surface over East Asia. biospheric flux plays an important role in the prevailing spatial pattern of CO2 enhancement and reduction on the synoptic scale due to the strong seasonality of biospheric CO2 flux. The elevation of CO2 levels by the biosphere during winter was found to be larger than 5ppm in North China and Southeast China, and during summertime a significant depletion( 7 ppm) occurred in most areas,except for the Indo-China Peninsula where positive bioflux values were found.

关键词： CO2 regional transport modeling seasonal variation biospheric flux

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Development of time series stacks of Landsat images for reconstructing forest disturbance history

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International Journal of Digital Earth 2009年第3期2卷 195-218页

作者： Chengquan Huang Samuel N.Goward Jeffrey G.Masek Feng Gao Eric F.Vermote Nancy Thomas Karen Schleeweis Robert E.Kennedy Zhiliang Zhu Jeffery C.Eidenshink John R.G.Townshend Department of Geography University of Maryland2181 LeFrak HallCollege ParkMD 20742USA Code 614.4biospheric sciences NASA Goddard Space Flight CenterGreenbeltMD 20771USA Earth Resources Technology Inc. 10810 Guilford Rd.Annapolis JunctionMD 20701USA USDA Forest Service Pacific Northwest Research Station 3200 SW Jefferson WayCorvallisOR 97331USA U.S.Geological Survey 12201 Sunrise Valley DriveRestonVA 20192USA USGS Earth Resources Observation and Science(EROS) Sioux FallsSD 57198USA

Forest dynamics is highly relevant to a broad range of earth science studies,many of which have geographic coverage ranging from regional to global *** the temporally dense Landsat acquisitions available in many regions provide a unique opportunity for understanding forest disturbance history dating back to 1972,large quantities of Landsat images will need to be analysed for studies at regional to global *** will not only require effective change detection algorithms,but also highly automated,high level preprocessing capabilities to produce images with subpixel geolocation accuracies and best achievable radiometric consistency,a status called imagery-ready-to-use(IRU).This paper describes a streamlined approach for producing IRU quality Landsat time series stacks(LTSS).This approach consists of an image selection protocol,high level preprocessing algorithms and IRU quality verification *** high level preprocessing algorithms include updated radiometric calibration and atmospheric correction for calculating surface reflectance and precision registration and orthorectification routines for improving geolocation *** automated routines have been implemented in the Landsat Ecosystem Disturbance Adaptive System(LEDAPS)designed for processing large quantities of Landsat *** characteristics of the LTSS developed using this approach are discussed.

关键词： Landsat time series stack imagery-ready-to-use LEDAPS forest change

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