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Divergent response of vegetation phenology to extreme temperatures and precipitation of different intensities on the Tibetan Plateau

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Science China Earth Sciences 2023年第10期66卷 2200-2210页

作者： Mai SUN Peng LI Peixin REN Jiayi TANG Cicheng ZHANG Xiaolu ZHOU Changhui PENG School of Geographic Sciences Hunan Normal UniversityChangsha410081China Department of Biology Sciences Institute of Environment SciencesUniversity of Quebec at MontrealMontrealH3C 3P8Canada

Quantifying how climate factors affect vegetation phenology is crucial for understanding climate-vegetation interactions and carbon and water cycles under a changing ***,the effects of different intensities of extreme climatic events on vegetation phenology remain poorly *** a long-term solar-induced chlorophyll fluorescence dataset,we investigated the response of vegetation phenology to extreme temperatures and precipitation events of different intensities across the Tibetan Plateau(TP)from 2000 to *** found that the effect of maximum temperature exposure days(TxED)and minimum temperature exposure days(TnED)on the start of the growing season(SOS)was initially delayed and shifted to advance along the increasing temperature ***,the response of the end of the growing season(EOS)to TxED and TnED shifted from an advance to a delay with increasing temperature gradients until the temperature thresholds were reached,above which thresholds produced an unfavorable response to vegetation growth and brought the EOS to an early *** corresponding maximum and minimum temperature thresholds were 10.12 and 2.54℃,*** contrast,cumulative precipitation(CP)was more likely to advance SOS and delay EOS as the precipitation gradient increased,but the advance of SOS is gradually *** vegetation types(i.e.,forest,shrubland,meadow,and steppe)showed similar trends in response to different climates,but the optimal climatic conditions varied between the vegetation ***,meadow and steppe had lower optimal temperatures and precipitation than forest and *** findings revealed the divergent responses of vegetation phenology to extreme climate events of different intensities,implying that the SOS will continue to advance with warming,whereas the EOS may undergo a partial transformation from delayed areas to advanced areas with continued warming.

关键词： vegetation phenology Extreme climates Optimal climate Solar-induced chlorophyll fluorescence Tibetan Plateau

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vegetation phenology in Permafrost Regions of Northeastern China Based on MODIS and Solar-induced Chlorophyll Fluorescence

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Chinese Geographical Science 2021年第3期31卷 459-473页

作者： WEN Lixiang GUO Meng YIN Shuai HUANG Shubo LI Xingli YU Fangbing Key Laboratory of Geographical Processes and Ecological Security in Changbai Mountains Ministry of EducationSchool of Geographical SciencesNortheast Normal UniversityChangchun 130024China Centers for Global Environmental Research National Institute for Environmental StudiesTsukuba 305-8555Japan

vegetation phenology is an indicator of vegetation response to natural environmental changes and is of great significance for the study of global climate change and its impact on terrestrial *** normalized difference vegetation index(NDVI)and enhanced vegetation index(EVI),extracted from the Moderate Resolution Imaging Spectrometer(MODIS),are widely used to monitor phenology by calculating land surface ***,the applicability of the vegetation index based on‘greenness'to monitor photosynthetic activity is hindered by poor observation conditions(e.g.,ground shadows,snow,and clouds).Recently,satellite measurements of solar-induced chlorophyll fluorescence(SIF)from OCO-2 sensors have shown great potential for studying vegetation ***,we tested the feasibility of SIF in extracting phenological metrics in permafrost regions of the northeastern China,exploring the characteristics of SIF in the study of vegetation phenology and the differences between NDVI and *** results show that NDVI has obvious SOS advance and EOS lag,and EVI is closer to *** growing season length based on SIF is often the shortest,while it can represent the true phenology of vegetation because it is closely related to *** is more sensitive than the traditional remote sensing indices in monitoring seasonal changes in vegetation phenology and can compensate for the shortcomings of traditional vegetation *** also used the time series data of MODIS NDVI and EVI to extract phenological metrics in different permafrost *** results show that the length of growing season of vegetation in predominantly continuous permafrost(zone I)is longer than in permafrost with isolated taliks(zone II).Our results have certain significance for understanding the response of ecosystems in cold regions to global climate change.

关键词： vegetation phenology permafrost Moderate Resolution Imaging Spectrometer(MODIS) solar-induced chlorophyll fluorescence(SIF) northeastern China

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Reconstructing landscapes of ungulate parturition and predation using vegetation phenology

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Current Zoology 2022年第3期68卷 275-283页

作者： Paige VAN DE VUURST Seth A.MOORE Edmund J.ISAAC Yvette CHENAUX-IBRAHIM Tiffany M.WOLF Luis E.ESCOBAR Department of Fish and Wildlife Conservation Virginia TechBlacksburgVA 24061USA Department of Biology and Environment Grand Portage Band of Lake Superior ChippewaGrand PortageMN 55605USA Veterinary Population Medicine University of MinnesotaSt PaulMN 55108USA

Enhanced vegetation index(EVI)data can be used to identify and define the space in which ungulates practice parturition and encounter *** study explores the use of EVI data to identify landscapes linked to ungulate parturition and predation events across space,time,and environmental *** a case study,we used the moose population(Alces alces)of northern Minnesota in the *** remotely sensed EVI data rasters and global positioning system collar data,we quantified how vegetation phenology and moose movement shaped the births and predation of 52 moose calves from 2013 to 2020 on or adjacent to the Grand Portage Indian *** known sources of predation were American black bears(Ursus americanus,n=22)and gray wolves(Canis lupus,n=28).Satellite-derived data summarizing seasonal landscape features at the local level revealed that landscape heterogeneity use by moose can help to quantitatively identify landscapes of parturition and predation in space and time across large *** phenology proved to be differentiable between adult moose ranges,sites of cow parturition,and sites of calf *** characteristics of each moose group were consistent and tractable based on environment,suggesting that sites of parturition and predation of moose are predictable in space and *** is possible that moose selected specific landscapes for parturition despite risk of increased predation of their calves,which could be an example of an"ecological trap."This analytical framework can be employed to identify areas for future ungulate research on the impacts of landscape on parturition and predation dynamics.

关键词： bear EVI moose parturition predation prey vegetation phenology

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phenology of different types of vegetation and their response to climate change in the Qilian Mountains,China

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Journal of Mountain Science 2024年第2期21卷 511-525页

作者： ZHAO Kaixin LI Xuemei ZHANG Zhengrong LIU Xinyu Faculty of Geomatics Lanzhou Jiaotong UniversityLanzhou 730070China National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring Lanzhou 730070China Gansu Provincial Engineering Laboratory for National Geographic State Monitoring Lanzhou 730070China

The Qilian Mountains(QM)possess a delicate vegetation ecosystem,amplifying the evident response of vegetation phenology to climate *** relationship between changes in vegetation growth and climate remains *** this end,we used MODIS NDVI data to extract the phenological parameters of the vegetation including meadow(MDW),grassland(GSD),and alpine vegetation(ALV))in the QM from 2002 to ***,we employed path analysis to reveal the direct and indirect impacts of seasonal climate change on vegetation ***,we decomposed the vegetation phenology in a time series using the trigonometric seasonality,Box-Cox transformation,ARMA errors,and Trend Seasonal components model(TBATS).The findings showed a distinct pattern in the vegetation phenology of the QM,characterized by a progressive shift towards an earlier start of the growing season(SOS),a delayed end of the growing season(EOS),and an extended length of the growing season(LOS).The growth cycle of MDW,GSD,and ALV in the QM species is clearly *** SOS for MDW and GSD occurred earlier,mainly between late April and August,while the SOS for ALVs occurred between mid-May and mid-August,a one-month delay compared to the other *** EOS in MDW and GSD were concentrated between late August and April and early September and early January,*** phenology exhibits distinct responses to seasonal temperature and precipitation *** advancement and delay of SOS were mainly influenced by the direct effect of spring temperatures and precipitation,which affected 19.59%and 22.17%of the study area,*** advancement and delay of EOS were mainly influenced by the direct effect of fall temperatures and precipitation,which affected 30.18%and 21.17%of the area,*** the contrary,the direct effects of temperature and precipitation in summer and winter on vegetation phenology seem less noticeable and were mainly influenced by indirect *** indirec

关键词： vegetation phenology Time series decomposition Path Analysis Climate change

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Divergent contributions of spring and autumn photosynthetic phenology to seasonal carbon uptake of subtropical vegetation in China

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Journal of Geographical Sciences 2024年第7期34卷 1280-1296页

作者： PENG Ying LI Peng ZHOU Xiaolu LUO Yunpeng ZHANG Cicheng WANG Longjun LI Tong PENG Changhui School of Geographic Sciences Hunan Normal UniversityChangsha410081China Department for Biogeochemical Integration Max-Planck-Institute for BiogeochemistryJena07745Germany Department of Biology Sciences Institute of Environment SciencesUniversity of Quebec at MontrealC.P.8888Succ.Centre-VilleMontrealH3C 3P8Canada

Phenological changes play a central role in regulating seasonal variation in the ecological processes,exerting significant impacts on hydrologic and nutrient cycles,and ultimately influencing ecosystem functioning such as carbon ***,the potential impact mechanisms of phenological events on seasonal carbon dynamics in subtropical regions are *** knowledge gaps hinder from accurately linking photosynthetic phenology and carbon sequestration *** chlorophyll fluorescence remote sensing and productivity data from 2000 to 2019,we found that an advancement in spring phenology increased spring gross(GPP)and net primary productivity(NPP)in subtropical vegetation of China by 2.1 gC m^(-2)yr^(-1)and 1.4 gC m^(-2)yr^(-1),respectively.A delay in autumn phenology increased the autumnal GPP and NPP by 0.4 gC m^(-2)yr^(-1)and 0.2 gC m^(-2)yr^(-1),***,the contribution of the spring phenology to spring carbon uptake increased significantly during the study period,while this positive contribution showed a nonsignificant trend in *** comparison,the later autumn phenology could significantly contribute to the increase in autumnal carbon uptake;however,this contributing effect was *** analysis indicated that these phenomena have been caused by the increased leaf area and enhanced photosynthesis due to earlier spring and later autumn phenology,*** results demonstrate the diverse impacts of vegetation phenology on the seasonal carbon sequestration ability and it is imperative to consider such asymmetric effects when modeling ecosystem processes parameterized under future climate change.

关键词： subtropics vegetation phenology remote sensing carbon cycle climate change

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Spatial variations in responses of vegetation autumn phenology to climate change on the tibetan Plateau

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Journal of Plant Ecology 2017年第5期10卷 744-752页

作者： Nan Cong Miaogen Shen Shilong Piao Key Laboratory of Alpine Ecology and Biodiversity Institute of Tibetan Plateau ResearchChinese Academy of Sciences16 Lincui RoadBeijing 100101China CAS Center for Excellence in Tibetan Plateau Earth Sciences 16 Lincui RoadBeijing 100101China

Aims Information about changes in the start and end of the vegetation growing season(SOS and EOS)is crucial for assessing ecosystem responses to climate change because of the high sensitivity of both to climate and their extensive influence on ecological processes in temperate and cold *** warming substantially advanced SOS on the tibetan Plateau from 1982 to ***,it is unclear why EOS showed little delay despite increasing tem-perature over this *** We used multiple methods to determine EOS from the satellite-observed normalized-difference vegetation index and investigated the relationships between EOS and its potential drivers on the tibetan Plateau over *** findings We found a slight but non-significant delay in regionally averaged EOS of 0.7 day decade−1(P=0.18)and a widespread but weak delaying trend across the Plateau over this *** inter-annual variations in regionally averaged EOS were driven mainly by pre-season temperature(partial R=0.62,P0.10).Pre-season warming delayed EOS mainly in the eastern half and north-western area of the *** the south-west,EOS was significantly and positively related to SOS,suggesting potentially indirect effects of winter weather conditions on the following autumn’s phenology through regulation of spring *** was more strongly related with pre-season temperature in colder and wetter areas,reflecting vegetation adaptation to local ***,pre-season temperature had weaker delaying effects on EOS for vegeta-tion with a shorter growing season,for which SOS had a stronger control on inter-annual variations in EOS than for vegetation with a longer growing *** indicates that shorter-season tibetan Plateau vegetation may have lower plasticity in adjusting the length of its growing season,whenever it begins,and that climate change is more likely to shift the growing season than e

关键词： climate change vegetation phenology temperature end of growing season remote sensing tibetan Plateau

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Alpine vegetation responses to snow phenology in the Chinese Tianshan mountainous region

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Journal of Mountain Science 2022年第5期19卷 1307-1323页

作者： ZHANG Bo LI Xue-mei LI Chao NYIRANSENGIYUMVA Christine QIN Qi-yong Faculty ofGeomatics Lanzhou Jiaotong UniversityLanzhou 730070China Gansu Provincial Engineering Laboratory for National Geographic State Monitoring Lanzhou 730070China National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring Lanzhou 730070China College of Urban and Environmental Science Northwest UniversityXian 710127China

Investigating the interrelation between snow and vegetation is essential to explain the response of alpine ecosystems to climate *** on the MOD10 A1 daily cloud-free snow product and MOD13 A1 NDVI(normalized difference vegetation index)data,this study analysed the spatial and temporal patterns of snow phenology including snow onset date,snow end date,snow cover days,and vegetation phenology including the start of growing season,the end of growing season and the length of growing season in the Chinese Tianshan Mountainous Region(CTMR)from 2002 to 2018,and then investigated the snow phenological effects on the vegetation phenology among different ecogeographic zones and diverse vegetation *** results indicated that snow onset date was earlier at higher elevations and later at lower elevations,while snow end date showed opposite spatial distribution *** end of growing season occurred later on the northwest slope of the CTMR and the Yili *** earliest end of growing season was in the middle part of the CTMR.A long growing season was mainly distributed along the northern slope and the Yili Valley,while a short growing season was concentrated in the middle part of the *** response of vegetation phenology to changes in snow phenology varied among vegetation types and ecogeographic *** effect of snow phenology on vegetation phenology was more significant in IID5(Yili Valley)than in the other ecogeographic zones.A negative correlation was observed between the start of growing season and snow end date in nearly 54.78%of the study area,while a positive correlation was observed between the start of growing season and the snow end date in 66.85%of the study *** sensitivity of vegetation phenology to changes in snow cover varied among different vegetation *** onset date had the greatest effect on the start of growing season in the four vegetation cover types(alpine meadows,alpine steppes,shrubs,and alpine sparse vegetati

关键词： Snow phenology vegetation phenology Climate change Response mechanism Grey correlation analysis Chinese Tianshan Mountainous Region

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Response of water-use efficiency to phenology in the natural forest and grassland of the Loess Plateau in China

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Science China Earth Sciences 2023年第9期66卷 2081-2096页

作者： Xingyan TAN Yangwen JIA Cunwen NIU Dawen YANG Wen LU Chunfeng HAO State Key Laboratory of Hydroscience and Engineering Department of Hydraulic EngineeringTsinghua UniversityBeijing 100084China State Key Laboratory of Simulation and Regulation of River Basin Water Cycle(SKL-WAC) China Institute of Water Resources and Hydropower Research(IWHR)Beijing 100038China

Ecosystem water use efficiency(WUE)is an integrated physiological metric for the coupling cycle between terrestrial carbon,water,and *** WUE responds to vegetation phenology(e.g.,SOS,EOS-start,end of growing season,and GSL-growing season length)shifting in temperate semi-arid regions is a hot spot in relative research *** on remotesensing products and in-situ measured climate data,this study discussed how gross primary productivity(GPP),evapotranspiration(ET),and WUE(quantified by GPP/ET)would change with the altering vegetation phenology and climate in the untouched semi-arid forests and grasslands of the Chinese Loess Plateau during 2001–*** results show that vegetation tended to green-up earlier and brown-down later from 2001 to 2020,causing an extended *** forests had an earlier SOS,later EOS,and longer GSL than the grasslands,but the latter had a bigger variation *** WUE in the study area decreased significantly during spring and summer,while the grassland WUE increased in autumn;the annual mean reduction rate in grassland WUE was approximately twice that of *** SOS could increase forest WUE but reduce grassland WUE in spring,mainly because leaf unfolding has a more pronounced limitation on soil evaporation beneath the forest *** had less impact on WUE,and no apparent difference existed between these two *** change could affect WUE directly by changing GPP and ET and indirectly by regulating vegetation *** can increase GPP and ET,causing an earlier SOS,further promoting GPP and ET(except forest ET).Precipitation significantly affected forest GPP and ET in spring,grassland GPP and ET in summer,and grassland ET in autumn;precipitation affects spring grassland WUE mainly via regulating *** solar radiation could suppress grassland GPP in spring,promote forest ET in autumn,and regulate grassland WUE by affecting *** study is meaningful for improving the process-ba

关键词： Water use efficiency vegetation phenology Climate change Remote sensing The Loess Plateau

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气候变化和物候变动对东北黑土区农业生产的协同作用及未来粮食生产风险

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Journal of Geographical Sciences 2023年第1期33卷 37-58页

作者：高江波刘路路郭灵辉孙东琪刘婉露侯文娟吴绍洪 Key Laboratory of Land SurfacePattern and Simulation Institute of Geographic Sciences and Natural Resources ResearchCASBeijing 100101China School of Surveying and Land Information Engineering Henan Polytechnic UniversityJiaozuo 454000HenanChina Key Laboratory of Regional Sustainable Development Modeling Institute of Geographic Sciences and Natural Resources ResearchCASBeijing 100101China College of Resources and Environment University of Chinese Academy of SciencesBeijing 100049China

The black soil region of northeast China is a vital food base and is one of the most sensitive regions to climate change in ***,the characteristics of the crop phenological response and the integrated impact of climate and phenological changes on agricultural productivity in the region under the background of climate change are not *** future agricultural risk assessment has been insufficiently quantified and the existing risk level formulation lacks a sound *** on remote sensing products,climate data,and model simulations,this study integrated a logistic function fitting curvature derivation,multiple linear regression,and scenario simulation to investigate crop phenology dynamics and their climate response characteristics in the black soil ***,the compound effects of climate and phenology changes on agricultural production and possible future risks were *** key results were as follows:(1)From 2000 to 2017,29.76%of the black soil region of northeast China experienced a significant delay in the start of the growing season(SOS)and 16.71%of the total area displayed a trend for the end of the growing season(EOS)to arrive *** time lagged effects of the SOS in terms of the crop response to climatic factors were site and climatic parameter *** influence of temperature was widespread and its effect had a longer lag time in general;(2)Both climatic and phenological changes have had a significant effect on the inter-annual variability of crop production,and the predictive ability of both increased by 70.23%,while the predictive area expanded by 85.04%,as compared to that of climate change in the same period of the growing season;(3)Under the RCP8.5 scenario,there was a risk that the future crop yield would decrease in the north and increase in the south,and the risk area was constantly *** a 2.0℃rise in global temperature,the crop yield of the southern Songnen black soil sub-region would reduce by

关键词： black soil region of northeast China vegetation phenology vegetation productivity lag effect future risk

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A New Perspective on Understanding the Reduced Spring Dust Storm Frequency in Inner Mongolia, China

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International Journal of Disaster Risk Science 2015年第3期6卷 216-225页

作者： Ning Li Li Guo Bihang Fan State Key Laboratory of Earth Surface Processes and Resource Ecology Beijing Normal University Key Laboratory of Environmental Change and Natural Disasters Ministry of Education Beijing Normal University College of Global Change and Earth System Science Beijing Normal University

Spatiotemporal patterns of dust storms are affected by climate change through changes in convective instability, regional meteorological characteristics, and local sediment supply. Linking dust storm dynamics to climate change helps the understanding of what controls the initiation of dust storms, and assists the prediction of future dust storm occurrence. This study examines the temporal dynamics of spring dust storms in Inner Mongolia, a major dust source area in East Asia. We found that severe spring dust storms have significantly declined from1954 to 2007. Four dust storm types showed similar decreasing trends from 2001 to 2012. This change in spring dust storm dynamics is attributed to the shift in vegetation green-up dates based on the analysis of a satellite derived vegetation index. Earlier vegetation green-up has a dampening effect on spring dust storms. Suitable environmental conditions for vegetation green-up hinder the emergence of dust storms. This study expands our understanding of the dynamics of spring dust storms in the changing climate through a new perspective on vegetation phenology in the spring.

关键词： Climate change Dust storm dynamics Green-up date Inner Mongolia vegetation phenology

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