The Qinba Mountains are climatically and ecologically recognized as the north-south transitional zone of China.Analysis of its phenology is critical for comprehending the response of vegetation to climatic change.We r...The Qinba Mountains are climatically and ecologically recognized as the north-south transitional zone of China.Analysis of its phenology is critical for comprehending the response of vegetation to climatic change.We retrieved the start of spring phenology(SOS)of eight forest communities from the MODIS products and adopted it as an indicator for spring phenology.Trend analysis,partial correlation analysis,and GeoDetector were employed to reveal the spatio-temporal patterns and climatic drivers of SOS.The results indicated that the SOS presented an advance trend from 2001 to 2020,with a mean rate of−0.473 d yr^(−1).The SOS of most forests correlated negatively with air temperature(TEMP)and positively with precipitation(PRE),suggesting that rising TEMP and increasing PRE in spring would forward and delay SOS,respectively.The dominant factors influencing the sensitivity of SOS to climatic variables were altitude,forest type,and latitude,while the effects of slope and aspect were relatively minor.The response of SOS to climatic factors varied significantly in space and among forest communities,partly due to the influence of altitude,slope,and aspect.展开更多
Species richness in any area results from the interplay of the processes of speciation,extinction,and dispersal.The relationships between species richness and climate should be considered as an outcome of the effects ...Species richness in any area results from the interplay of the processes of speciation,extinction,and dispersal.The relationships between species richness and climate should be considered as an outcome of the effects of climate on speciation,extinction,and dispersal.Diversificationrate represents the balance of speciation and extinction rates over time.Here,I explore diversificationrates in mosses across geographic and climatic gradients worldwide.Specifically,I investigate latitudinal patterns and climatic associations of the mean diversificationrate of mosses at global,hemispheric,and smaller scales.I findthat the mean diversificationrate of mosses is positively correlated with species richness of mosses,increases with decreasing latitude and increasing mean annual temperature and annual precipitation,and is more strongly associated with mean annual temperature than with annual precipitation.These findingsshed light on variation of species richness in mosses across the world.The negative relationship between species richness and latitude and the positive relationship between species richness and mean diversificationrate in mosses suggest that higher moss species richness at lower latitudes might have resulted,at least to some degree,from higher moss diversificationrates at lower latitudes.展开更多
In this paper,Wuzhou City of Guangxi was taken as the research object.Through the design of a climatic data warehousing system,the decoding methods of surface meteorological data and their application in the managemen...In this paper,Wuzhou City of Guangxi was taken as the research object.Through the design of a climatic data warehousing system,the decoding methods of surface meteorological data and their application in the management of climatic data were explored.Based on the parsing technology of the monthly report of surface meteorological records(A-file),the design of Wuzhou climatic data warehousing system was realized,completing the precise extraction and database construction of observational elements such as regional temperature,wind direction,and weather phenomena.Based on this system,the meteorological data in 2024 were analyzed,and the probabilistic characteristics of dominant wind direction in Wuzhou(northeast wind accounting for the largest proportion),the spatiotemporal distribution patterns of extreme temperatures(annual extreme high temperature of 37.1℃in August and extreme low temperature of 1.9℃in January),and the general climatic overview of Wuzhou City(annual precipitation 3.2%higher than the standard value)were revealed.The research shows that climate change has a significant impact on agricultural production and economic development in Wuzhou City,and the construction of a reasonable climatic data database is of great significance for enhancing professional meteorological service capabilities in the context of climate change.This study not only provides a scientific basis for the economic development of Wuzhou region,but also offers reference ideas for other regions to cope with regional climate adaptation planning.展开更多
Drought significantly constrains vegetation growth and reduces terrestrial carbon sinks.Currently,the spatiotemporal patterns and mechanisms of the differential impacts of soil and meteorological droughts on vegetatio...Drought significantly constrains vegetation growth and reduces terrestrial carbon sinks.Currently,the spatiotemporal patterns and mechanisms of the differential impacts of soil and meteorological droughts on vegetation productivity remain inadequately understood.In this study,we analyzed soil moisture(SM),vapor pressure deficit(VPD),and gross primary productivity(GPP)to investigate their spatiotemporal patterns and the combined effects on GPP over China.The results revealed that:(1)Soil drought and meteorological drought generally exhibited temporally synchronous trends across China.(2)GPP was predominantly affected by the combined and synchronous effects of both SM and VPD,although their effects displayed directional variability differences in certain regions.(3)SM demonstrated a greater relative importance on GPP than VPD across more than half of the regions in China,whereas deciduous broadleaf forests were the only vegetation type primarily affected by VPD.(4)Under the lag effects,both SM and VPD exhibited bidirectional Granger causality with GPP,with the interaction between VPD and GPP proving more pronounced than that of SM.Our research provides valuable insights into the mechanisms through which SM and VPD influence GPP,contributing to improved predictions vegetation productivity and implementing ecological restoration.展开更多
Based on the data of temperature,precipitation and sunshine at Longhui National Station from 1981 to 2023,the temperature data at 22 regional stations from 2011 to 2023,and lily planting data at Lilium brownii var.vir...Based on the data of temperature,precipitation and sunshine at Longhui National Station from 1981 to 2023,the temperature data at 22 regional stations from 2011 to 2023,and lily planting data at Lilium brownii var.viridulum base,the feasibility of meteorological conditions for the growth of L.brownii var.viridulum was analyzed.The results showed that the climatic conditions in Longhui were generally suitable for planting L.brownii var.viridulum.The southern hilly area was the most suitable climate area,the northern mountainous area was the suitable climate area,and the northwest mountainous area was the more suitable climate area.It can provide favorable meteorological protection for farmers,reduce the impact of adverse meteorological conditions on L.brownii var.viridulum,and improve the economic benefits of lily production by making full use of Longhui climatic conditions and doing a good job in the meteorological service of L.brownii var.viridulum.展开更多
Based on the environmental conditions for the growth and development of potatoes,the impact of climatic conditions on potato cultivation in Shangdu County was analyzed.Due to significant fluctuations in temperature du...Based on the environmental conditions for the growth and development of potatoes,the impact of climatic conditions on potato cultivation in Shangdu County was analyzed.Due to significant fluctuations in temperature during the seedling stage of potatoes,less precipitation,and uneven temporal and spatial distribution of precipitation,the yield of potatoes is unstable.Therefore,scientific planting suggestions and meteorological service countermeasures were proposed.展开更多
The study investigated the relationship between climatic variables and food security in households in the districts of Huancayo(Chongos Alto,Viques,Pucará,and Huancayo)during the COVID-19 pandemic.A cross-section...The study investigated the relationship between climatic variables and food security in households in the districts of Huancayo(Chongos Alto,Viques,Pucará,and Huancayo)during the COVID-19 pandemic.A cross-sectional observational study was conducted with a sample of 272 households out of 36,453.Food security data were collected through ques-tionnaires,and climatic variables(temperature,humidity,and precipitation)were obtained from CEPREANDES weather stations between September 2020 and February 2021.The results showed that 44.49% of households experienced mild food insecurity,while 55.5%experienced moderate food insecurity.Recorded climatic conditions included maximum temperatures of 28℃ in Pucaráand 27℃ in Huancayo,and a minimum of-8℃ in Chongos Alto.Relative humidity reached 89%in Pucaráand 87%in Chongos Alto and Huancayo,while maximum rainfall was 28 mm in Chongos Alto and 23 mm in Huancayo.Multivariate analysis revealed that relative humidity had a significant association with moderate food insecurity(B=16.406;95% CI:-64735 to 64768),increasing the risk 16 times under high humidity conditions.No significant relationships were found with temperature(B=-7.107;95% CI:-77320 to 77306)or precipitation(B=-7.831;95% CI:-25690 to 25674).It was concluded that relative humidity is a key factor in food security,particularly during the pandemic,while other climatic variables showed no significant impacts.These findings highlight the need for urgent adaptations to climatic challenges in vulnerable contexts.展开更多
Pinus densiflora is a pine species native to the Korean peninsula,and seed orchards have supplied mate-rial needed for afforestation in South Korea.Climate vari-ables affecting seed production have not been identified...Pinus densiflora is a pine species native to the Korean peninsula,and seed orchards have supplied mate-rial needed for afforestation in South Korea.Climate vari-ables affecting seed production have not been identified.The purpose of this study was to determine climate variables that influence annual seed production of two seed orchards using multiple linear regression(MLR),elastic net regres-sion(ENR)and partial least square regression(PLSR)mod-els.The PLSR model included 12 climatic variables from 2003 to 2020 and explained 74.3%of the total variation in seed production.It showed better predictive performance(R2=0.662)than the EN(0.516)and the MLR(0.366)mod-els.Among the 12 climatic variables,July temperature two years prior to seed production and July precipitation after one year had the strongest influence on seed production.The time periods indicated by the two variables corresponded to pollen cone initiation and female gametophyte development.The results will be helpful for developing seed collection plans,selecting new orchard sites with favorable climatic conditions,and investigating the relationships between seed production and climatic factors in related pine species.展开更多
Global warming has led to the frequent occurrence of extreme climatic events(ECEs)in the ecologically frag ile Qinghai-Xizang Plateau.Rural households face strong barriers in adaption,and food production is seriously ...Global warming has led to the frequent occurrence of extreme climatic events(ECEs)in the ecologically frag ile Qinghai-Xizang Plateau.Rural households face strong barriers in adaption,and food production is seriously threatened.Current methods for increasing household adaptability take a holistic point of view,but do not ac curately identify groups experiencing different adaptive barriers.To better identify different barriers,this paper examines natural,economic,cognitive,and technical barriers.A total of 17 indicators were selected to com prehensively evaluate the degree of barriers to crops adaptation in response to ECEs.Key factors were further analyzed to identify paths to break down the barriers.The results showed the following.(1)Natural barriers were present at the highest degree,economic barriers appear to be smallest,and the overall barriers were bi ased towards the lower quartile.10.82%of the households with the highest barriers.(2)67.38%of households report taking adaptive measures in crops production.The increase of the barriers leads to an increase and then a decrease in the possibility of adaptive behavior.(3)Addressing technical barriers is key to rapidly increasing household adaptive behavior in response to ECEs.The study provides recommendations for local governments to improve household adaptation behavior from two perspectives:short-term and long-term optimization path ways.This study can help governments quickly locate households with different classes of barriers,and propose more targeted adaptation policies.The ultimate goal is to ensure the sustainability of crops production and the well-being of households in northeastern part of the Qinghai-Xizang Plateau.展开更多
Previous studies have indicated that sediment gravity flow deposits developed in lacustrine active extensional rift basins are primarily influenced by tectonics and to a lesser extent by climate.Our present work revea...Previous studies have indicated that sediment gravity flow deposits developed in lacustrine active extensional rift basins are primarily influenced by tectonics and to a lesser extent by climate.Our present work reveals that climate can obscure the effect of tectonic subsidence by regulating sediment supply;conversely,tectonics can impede the sedimentary manifestation of climatic impacts.Here a case study has been presented to assess the impact of climate-modulated rapid lake-level rise and tectonic subsidence on the development of coarse-grained gravity flow deposits in the Dongying rift margin of the Bohai Bay Basin,eastern China.The lithofacies analysis reveals frequent bed amalgamation,abundant thick massive coarse-grained deposits,widespread cross bedding and plant fragments,and incomplete composite bed formed by high-energy erosion,indicating that the hyperpycnal flow is an important mechanism driving the deposition of these coarse-grained sediments.Detailed sequence stratigraphic analysis and sediment dispersal pattern suggest that the long-striped nearshore subaqueous fan systems induced by outburst-flood hyperpycnal flow distributed along the border fault,are primarily controlled by long-term tectonics,while the rapid rise of lake level driven by short-term climate change possibly intensifies seasonal flood-generated hyperpycnal flow occurrences and consequently promotes the basinal fan progradation.The maximum scale of these coarse-grained gravity flow deposits of the basinal fan systems are typically attained during the transgressive systems tract,which deviates from the classical sequence stratigraphic model.Furthermore,it presented a continuous transition from the proximal to the distal part,encompassing traction flows and turbidity currents during the periods of relatively stable tectonics.Nevertheless,gravel-rich debris flows appear to predominate the dispersion of coarse-grained sediments during periods characterized by intense tectonic activity.The coarse-grained gravity flow deposits in the lacustrine rift margin reported here,challenge the traditional beliefs:this study suggests that subaqueous deposits abundantly preserved in the transgressive setting.展开更多
Aerosol dynamics in semi-arid cities are key to understanding air quality and climate interactions.This study examines the spatiotemporal variability of Aerosol Optical Depth(AOD)over Jaipur,India,from 2018 to 2024 us...Aerosol dynamics in semi-arid cities are key to understanding air quality and climate interactions.This study examines the spatiotemporal variability of Aerosol Optical Depth(AOD)over Jaipur,India,from 2018 to 2024 using MODIS observations at 470,500,and 550 nm,combined with meteorological data and ground-based air quality records.The Mann–Kendall test identified a statistically significant decreasing trend at 500 nm(slope=–2.07,p<0.05),while 470 and 550 nm showed weak,nonsignificant declines.AOD peaked in April–June,declined during the monsoon,and rose again in October–November due to burning and festivals.Correlation analysis demonstrated strong positive associations with PM_(2.5),PM_(10),and temperature,with minimum temperature emerging as the most influential predictor,whereas relative humidity showed weak or negative relationships.Anomaly detection confirmed episodic high-AOD events during dust storms,winter inversions,and agricultural burning.Predictive modelling using Multiple Linear Regression(MLR)and Random Forest highlighted the complementary roles of linear drivers.Nonlinear dynamics,with Random Forest achieving high predictive accuracy(R^(2)=0.892 for training,0.588 for testing).These findings demonstrate that aerosol variability in Jaipur is governed by a dual influence of natural dust and anthropogenic emissions,with wavelength-specific responses.The results provide scientific evidence for integrating satellite monitoring,ground observations,and predictive models into urban air quality management and climate adaptation strategies in semi-arid regions.展开更多
The survival and mortality of conifer trees in response to climate change,particularly drought stress,have received considerable attention.However,it is crucial to explore the growth dynamics of the same conifer speci...The survival and mortality of conifer trees in response to climate change,particularly drought stress,have received considerable attention.However,it is crucial to explore the growth dynamics of the same conifer species in response to climate change in different climatic habitats.In this study,we aimed to quantify variations in the radial growth processes of conifer species,analyze their resilience during drought periods under different climatic habitats,and assess the impact of climate adaptation on conifer growth.We focused on two conifer species,Picea crassifolia(spruce)and Pinus tabuliformis(pine),which are distributed in both a humid habitat and a dry habitat in the northeastern Tibetan Plateau.Growth and resilience dynamics were identified across both climatic habitats and the contributions of temperature and moisture to the growth of the two species were simulated under drought stress using the VS-oscilloscope model.Spruce growth exhibited significant variability between climatic habitats.Specifically,the spruce growth rate declined in response to drought in the dry habitat(-0.91 cm^(2)per decade,p<0.01).In contrast,pine growth remained relatively stable(humid habitat:-0.03 cm^(2)per decade;dry habitat:0.25 cm^(2)per decade,p>0.01),although it still responded to stress during the growing season(p<0.05).Furthermore,spruce displayed reduced resistance during stress in dry habitats(-30.11%),while pine exhibited an enhanced recovery of growth rates to ensure survival(+39.62%).The climate adaptation strategies of the species were linked to the contribution of temperature and moisture to their growth rates.Moisture is critical for the growth recovery of both conifers in dry habitats when temperature-associated growth displays a‘bimodal’pattern during the growing season.These findings have significant ecological implications for understanding conifer forest processes in the context of global climate change.展开更多
Increasing temperatures and severe droughts threaten forest vitality globally.Prediction of forest response to climate change requires knowledge of the spatiotemporal patterns of monthly or seasonal climatic impacts o...Increasing temperatures and severe droughts threaten forest vitality globally.Prediction of forest response to climate change requires knowledge of the spatiotemporal patterns of monthly or seasonal climatic impacts on the growth of tree species,likely driven by local climatic aridity,climate trends,edaphic conditions,and the climatic adaption of tree species.The ability of tree species to cope with changing climate and the effects of environmental variables on growth trends and growth-climate relationships across diverse bioclimatic regions are still poorly understood for many species.This study investigated radial growth trends,interannual growth variability,and growth-climate sensitivity of two dominant tree species,Pinus tabulaeformis(PT)and Pinus sylvestris var.mongolica(PS),across a broad climatic gradient with a variety of soil properties in temperate Northern China.Using a network of 83 tree ring chronologies(54 for PT and 29 for PS)from 1971 to 2010,we documented that both species maintained constant growth trends at wet sites,while both displayed rapid declines at dry sites.We reported the species-specific drivers of spatial heterogeneity in growth trends,interannual growth variability,and growth-climate relationships.Calculated climatic variables and soil properties were identified as the most critical factors affecting the growth trends and growth-climate relationships.However,climatic variables play more essential roles than soil properties in determining the spatial heterogeneity of the growth-climate relationship.Lower clay content and higher soil nutrient regimes can exacerbate the moisture-related susceptibility of tree growth.Our findings highlight that soil properties emerged as important modulating factors to predict the drought vulnerability of forests in addition to climatic variables.Considering the continued climate warmingdrying trend in the future,both pines will face a more severe growth decline and increase in drought vulnerability at drier sites with lower clayed soil or higher nutrient regimes.展开更多
Based on observation data from the mini-type automatic weather station,the evapotranspiration quantity of reference crops from artificial grassland in three river sources areas was estimated by the method of FAO Penma...Based on observation data from the mini-type automatic weather station,the evapotranspiration quantity of reference crops from artificial grassland in three river sources areas was estimated by the method of FAO Penman-Monteith.The actual evapotranspiration quantity of grassland was calculated according to the synthetic crop coefficients referenced by FAQ-56,and the change of the actual evapotranspiration quantity of artificial grassland in three river sources areas as well as the relationship between the evapotranspiration quantity and climatic factors were studied.The results suggested that the seasonal change of actual evapotranspiration quantity in grassland was expressed in a single peak curve with the peak in the middle August,and daily transpiration quantity in summer was significantly larger than that in winter.The evapotranspiration was significantly correlated with air temperature,solar radiation and relative humidity,but not significantly correlated with wind speed.Effects of climatic factors on the evapotranspiration quantity of artificial grassland were ordered as follow:air temperature(T)>solar radiation(Ra)>relative humidity(RH)>wind speed(u2).展开更多
An improved Carnegie Ames Stanford Approach model （CASA model） was used to estimate the net primary productivity （NPP） of the Northeast China Transect （NECT） every month from 1982 to 2000. The spatial-temporal d...An improved Carnegie Ames Stanford Approach model （CASA model） was used to estimate the net primary productivity （NPP） of the Northeast China Transect （NECT） every month from 1982 to 2000. The spatial-temporal distribution of NPP along NECT and its response to climatic change were also analyzed. Results showed that the change tendency of NPP spatial distribution in NECT is quite similar to that of precipitation and their spatial correlation coefficient is up to 0.84 （P 〈 0.01）. The inter-annual variation of NPP in NECT is mainly affected by the change of the aestival NPP every year, which accounts for 67.6% of the inter-annual increase in NPP and their spatial correlation coefficient is 0.95 （P 〈 0.01）. The NPP in NECT is mainly cumulated between May and September, which accounts for 89.8% of the annual NPP. The NPP in summer （June to August） accounts for 65.9% of the annual NPP and is the lowest in winter. Recent climate changes have enhanced plant growth in NECT. The mean NPP increased 14.3% from 1980s to 1990s. The inter-annual linear trend of NPP is 4.6 gC·m^-2·a^-1, and the relative trend is 1.17%, which owns mainly to the increasing temperature.展开更多
Monthly projections of maximum temperature,relative humidity,precipitation,and wind speed were made based on the model of HadCM3 and the climatic change scenarios of IPCC SRES A2a and B2a for the future scenario perio...Monthly projections of maximum temperature,relative humidity,precipitation,and wind speed were made based on the model of HadCM3 and the climatic change scenarios of IPCC SRES A2a and B2a for the future scenario periods of 2010–2039（referred to as 2020s）,2040–2069（referred to as 2050s）,and 2070–2099（referred to as 2080s）.The period 1961–1990 was chosen as the baseline period.The observed and projected weather data were downscaled using delta change methods and historical relationships between weather data,area burned,and the seasonal severity rating（SSR） code of the Canadian Fire Weather Index System were examined.The variations of area burned as influenced by climate change were assessed quantitative and qualitative for the study region,assuming that the fire regimes had the similar responses to the warming climate as during the 20th century.Our results indicated that a linear regression relationship existing between the historical area burned and the mean SSR values with regression coefficient in the significant range of 0.16 to 0.61.It was evident that the increased SSR values could result in more area burned;the area burned in the study region would have an increasing pattern during the 21st century under scenarios A2a and B2a scenarios and the area burned would be doubled.Also,the future area burned would have a strong seasonal pattern that more fires would occur in summer and autumn fire season,especially in summer.The area burned in summer fire season would increase by 1.5 times compared to that in the baseline period in 2080s under A2a scenarios.展开更多
[Objective] This study was to investigate the climatic factors affecting the regional eco-adaptability of ramie.[Method] Five experimental sites of different eco-types in ramie growing regions in Yangtze Valley were s...[Objective] This study was to investigate the climatic factors affecting the regional eco-adaptability of ramie.[Method] Five experimental sites of different eco-types in ramie growing regions in Yangtze Valley were set up to investigate the yield of Zhongzhu No.2,based on which we assessed the adaptability of Zhongzhu No.2 to various eco-regions and further analyzed the climatic factors causing the difference in eco-adaptability.[Result] Ramie yield varied largely among various experimental sites and the yield difference appeared to be well repeatable,with a differential value between the maximum and the minimum reaching 2.3 kg/20 m2.Analysis of the yield data,together with climatic factors in various ecological regions showed that yield of Zhongzhu No.2 was significantly correlated with rainfall,sunshine hours,relative humidity during its growing period.Of the climatic factors,sunshine hours and rainfall can positively promote yield increase,while relative humidity negatively regulate ramie yield.[Conclusion] The climatic indices,including rainfall,sunshine duration and relative humidity are a key factor causing yield difference in ramie among different regions of Yangtze Valley.展开更多
基金National Key Research and Development Program of China,No.2023YFE0208100,No.2021YFC3000201Natural Science Foundation of Henan Province,No.232300420165。
文摘The Qinba Mountains are climatically and ecologically recognized as the north-south transitional zone of China.Analysis of its phenology is critical for comprehending the response of vegetation to climatic change.We retrieved the start of spring phenology(SOS)of eight forest communities from the MODIS products and adopted it as an indicator for spring phenology.Trend analysis,partial correlation analysis,and GeoDetector were employed to reveal the spatio-temporal patterns and climatic drivers of SOS.The results indicated that the SOS presented an advance trend from 2001 to 2020,with a mean rate of−0.473 d yr^(−1).The SOS of most forests correlated negatively with air temperature(TEMP)and positively with precipitation(PRE),suggesting that rising TEMP and increasing PRE in spring would forward and delay SOS,respectively.The dominant factors influencing the sensitivity of SOS to climatic variables were altitude,forest type,and latitude,while the effects of slope and aspect were relatively minor.The response of SOS to climatic factors varied significantly in space and among forest communities,partly due to the influence of altitude,slope,and aspect.
文摘Species richness in any area results from the interplay of the processes of speciation,extinction,and dispersal.The relationships between species richness and climate should be considered as an outcome of the effects of climate on speciation,extinction,and dispersal.Diversificationrate represents the balance of speciation and extinction rates over time.Here,I explore diversificationrates in mosses across geographic and climatic gradients worldwide.Specifically,I investigate latitudinal patterns and climatic associations of the mean diversificationrate of mosses at global,hemispheric,and smaller scales.I findthat the mean diversificationrate of mosses is positively correlated with species richness of mosses,increases with decreasing latitude and increasing mean annual temperature and annual precipitation,and is more strongly associated with mean annual temperature than with annual precipitation.These findingsshed light on variation of species richness in mosses across the world.The negative relationship between species richness and latitude and the positive relationship between species richness and mean diversificationrate in mosses suggest that higher moss species richness at lower latitudes might have resulted,at least to some degree,from higher moss diversificationrates at lower latitudes.
基金Supported by the Fifth Batch of Innovation Teams of Wuzhou Meteorological Bureau“Wuzhou Innovation Team for Enhancing the Comprehensive Meteorological Observation Ability through Digitization and Intelligence”Project of Wuzhou Science and Technology Bureau(202402122)Wuzhou Science and Technology Planning Project(202402119).
文摘In this paper,Wuzhou City of Guangxi was taken as the research object.Through the design of a climatic data warehousing system,the decoding methods of surface meteorological data and their application in the management of climatic data were explored.Based on the parsing technology of the monthly report of surface meteorological records(A-file),the design of Wuzhou climatic data warehousing system was realized,completing the precise extraction and database construction of observational elements such as regional temperature,wind direction,and weather phenomena.Based on this system,the meteorological data in 2024 were analyzed,and the probabilistic characteristics of dominant wind direction in Wuzhou(northeast wind accounting for the largest proportion),the spatiotemporal distribution patterns of extreme temperatures(annual extreme high temperature of 37.1℃in August and extreme low temperature of 1.9℃in January),and the general climatic overview of Wuzhou City(annual precipitation 3.2%higher than the standard value)were revealed.The research shows that climate change has a significant impact on agricultural production and economic development in Wuzhou City,and the construction of a reasonable climatic data database is of great significance for enhancing professional meteorological service capabilities in the context of climate change.This study not only provides a scientific basis for the economic development of Wuzhou region,but also offers reference ideas for other regions to cope with regional climate adaptation planning.
基金National Key Research and Development Program,No.2021xjkk0303。
文摘Drought significantly constrains vegetation growth and reduces terrestrial carbon sinks.Currently,the spatiotemporal patterns and mechanisms of the differential impacts of soil and meteorological droughts on vegetation productivity remain inadequately understood.In this study,we analyzed soil moisture(SM),vapor pressure deficit(VPD),and gross primary productivity(GPP)to investigate their spatiotemporal patterns and the combined effects on GPP over China.The results revealed that:(1)Soil drought and meteorological drought generally exhibited temporally synchronous trends across China.(2)GPP was predominantly affected by the combined and synchronous effects of both SM and VPD,although their effects displayed directional variability differences in certain regions.(3)SM demonstrated a greater relative importance on GPP than VPD across more than half of the regions in China,whereas deciduous broadleaf forests were the only vegetation type primarily affected by VPD.(4)Under the lag effects,both SM and VPD exhibited bidirectional Granger causality with GPP,with the interaction between VPD and GPP proving more pronounced than that of SM.Our research provides valuable insights into the mechanisms through which SM and VPD influence GPP,contributing to improved predictions vegetation productivity and implementing ecological restoration.
文摘Based on the data of temperature,precipitation and sunshine at Longhui National Station from 1981 to 2023,the temperature data at 22 regional stations from 2011 to 2023,and lily planting data at Lilium brownii var.viridulum base,the feasibility of meteorological conditions for the growth of L.brownii var.viridulum was analyzed.The results showed that the climatic conditions in Longhui were generally suitable for planting L.brownii var.viridulum.The southern hilly area was the most suitable climate area,the northern mountainous area was the suitable climate area,and the northwest mountainous area was the more suitable climate area.It can provide favorable meteorological protection for farmers,reduce the impact of adverse meteorological conditions on L.brownii var.viridulum,and improve the economic benefits of lily production by making full use of Longhui climatic conditions and doing a good job in the meteorological service of L.brownii var.viridulum.
文摘Based on the environmental conditions for the growth and development of potatoes,the impact of climatic conditions on potato cultivation in Shangdu County was analyzed.Due to significant fluctuations in temperature during the seedling stage of potatoes,less precipitation,and uneven temporal and spatial distribution of precipitation,the yield of potatoes is unstable.Therefore,scientific planting suggestions and meteorological service countermeasures were proposed.
文摘The study investigated the relationship between climatic variables and food security in households in the districts of Huancayo(Chongos Alto,Viques,Pucará,and Huancayo)during the COVID-19 pandemic.A cross-sectional observational study was conducted with a sample of 272 households out of 36,453.Food security data were collected through ques-tionnaires,and climatic variables(temperature,humidity,and precipitation)were obtained from CEPREANDES weather stations between September 2020 and February 2021.The results showed that 44.49% of households experienced mild food insecurity,while 55.5%experienced moderate food insecurity.Recorded climatic conditions included maximum temperatures of 28℃ in Pucaráand 27℃ in Huancayo,and a minimum of-8℃ in Chongos Alto.Relative humidity reached 89%in Pucaráand 87%in Chongos Alto and Huancayo,while maximum rainfall was 28 mm in Chongos Alto and 23 mm in Huancayo.Multivariate analysis revealed that relative humidity had a significant association with moderate food insecurity(B=16.406;95% CI:-64735 to 64768),increasing the risk 16 times under high humidity conditions.No significant relationships were found with temperature(B=-7.107;95% CI:-77320 to 77306)or precipitation(B=-7.831;95% CI:-25690 to 25674).It was concluded that relative humidity is a key factor in food security,particularly during the pandemic,while other climatic variables showed no significant impacts.These findings highlight the need for urgent adaptations to climatic challenges in vulnerable contexts.
基金supported by the National Institute of Forest Sciencethe R&D Program for Forest Science Technology (No.2022458B10-2224-0201) of the Korea Forest Service
文摘Pinus densiflora is a pine species native to the Korean peninsula,and seed orchards have supplied mate-rial needed for afforestation in South Korea.Climate vari-ables affecting seed production have not been identified.The purpose of this study was to determine climate variables that influence annual seed production of two seed orchards using multiple linear regression(MLR),elastic net regres-sion(ENR)and partial least square regression(PLSR)mod-els.The PLSR model included 12 climatic variables from 2003 to 2020 and explained 74.3%of the total variation in seed production.It showed better predictive performance(R2=0.662)than the EN(0.516)and the MLR(0.366)mod-els.Among the 12 climatic variables,July temperature two years prior to seed production and July precipitation after one year had the strongest influence on seed production.The time periods indicated by the two variables corresponded to pollen cone initiation and female gametophyte development.The results will be helpful for developing seed collection plans,selecting new orchard sites with favorable climatic conditions,and investigating the relationships between seed production and climatic factors in related pine species.
基金supported by the Second Scientific Expedition to the Qinghai‒Xizang Plateau(Grant No.2019QZKK0405-05)method-ological support from the State Key Program of the National Natural Science Foundation of China(Grant No.72033005)is also appreciated greatly.
文摘Global warming has led to the frequent occurrence of extreme climatic events(ECEs)in the ecologically frag ile Qinghai-Xizang Plateau.Rural households face strong barriers in adaption,and food production is seriously threatened.Current methods for increasing household adaptability take a holistic point of view,but do not ac curately identify groups experiencing different adaptive barriers.To better identify different barriers,this paper examines natural,economic,cognitive,and technical barriers.A total of 17 indicators were selected to com prehensively evaluate the degree of barriers to crops adaptation in response to ECEs.Key factors were further analyzed to identify paths to break down the barriers.The results showed the following.(1)Natural barriers were present at the highest degree,economic barriers appear to be smallest,and the overall barriers were bi ased towards the lower quartile.10.82%of the households with the highest barriers.(2)67.38%of households report taking adaptive measures in crops production.The increase of the barriers leads to an increase and then a decrease in the possibility of adaptive behavior.(3)Addressing technical barriers is key to rapidly increasing household adaptive behavior in response to ECEs.The study provides recommendations for local governments to improve household adaptation behavior from two perspectives:short-term and long-term optimization path ways.This study can help governments quickly locate households with different classes of barriers,and propose more targeted adaptation policies.The ultimate goal is to ensure the sustainability of crops production and the well-being of households in northeastern part of the Qinghai-Xizang Plateau.
基金supported by the National Natural Science Foundation of China(Nos.42172109,41872113,42172108)China National Petroleum Corporation-China University of Petroleum(Beijing)strategic cooperation science and technology project(ZLZX2020-02)+2 种基金Science Foundation of China University of Petroleum(Beijing)(Nos.2462020BJRC002,2462020YXZZ020)Natural Science Foundation of Chongqing(CSTB2022NSCQ-MSX1166)Science and Technology Research Program of Chongqing Municipal Education Commission(KJQN202201511).
文摘Previous studies have indicated that sediment gravity flow deposits developed in lacustrine active extensional rift basins are primarily influenced by tectonics and to a lesser extent by climate.Our present work reveals that climate can obscure the effect of tectonic subsidence by regulating sediment supply;conversely,tectonics can impede the sedimentary manifestation of climatic impacts.Here a case study has been presented to assess the impact of climate-modulated rapid lake-level rise and tectonic subsidence on the development of coarse-grained gravity flow deposits in the Dongying rift margin of the Bohai Bay Basin,eastern China.The lithofacies analysis reveals frequent bed amalgamation,abundant thick massive coarse-grained deposits,widespread cross bedding and plant fragments,and incomplete composite bed formed by high-energy erosion,indicating that the hyperpycnal flow is an important mechanism driving the deposition of these coarse-grained sediments.Detailed sequence stratigraphic analysis and sediment dispersal pattern suggest that the long-striped nearshore subaqueous fan systems induced by outburst-flood hyperpycnal flow distributed along the border fault,are primarily controlled by long-term tectonics,while the rapid rise of lake level driven by short-term climate change possibly intensifies seasonal flood-generated hyperpycnal flow occurrences and consequently promotes the basinal fan progradation.The maximum scale of these coarse-grained gravity flow deposits of the basinal fan systems are typically attained during the transgressive systems tract,which deviates from the classical sequence stratigraphic model.Furthermore,it presented a continuous transition from the proximal to the distal part,encompassing traction flows and turbidity currents during the periods of relatively stable tectonics.Nevertheless,gravel-rich debris flows appear to predominate the dispersion of coarse-grained sediments during periods characterized by intense tectonic activity.The coarse-grained gravity flow deposits in the lacustrine rift margin reported here,challenge the traditional beliefs:this study suggests that subaqueous deposits abundantly preserved in the transgressive setting.
文摘Aerosol dynamics in semi-arid cities are key to understanding air quality and climate interactions.This study examines the spatiotemporal variability of Aerosol Optical Depth(AOD)over Jaipur,India,from 2018 to 2024 using MODIS observations at 470,500,and 550 nm,combined with meteorological data and ground-based air quality records.The Mann–Kendall test identified a statistically significant decreasing trend at 500 nm(slope=–2.07,p<0.05),while 470 and 550 nm showed weak,nonsignificant declines.AOD peaked in April–June,declined during the monsoon,and rose again in October–November due to burning and festivals.Correlation analysis demonstrated strong positive associations with PM_(2.5),PM_(10),and temperature,with minimum temperature emerging as the most influential predictor,whereas relative humidity showed weak or negative relationships.Anomaly detection confirmed episodic high-AOD events during dust storms,winter inversions,and agricultural burning.Predictive modelling using Multiple Linear Regression(MLR)and Random Forest highlighted the complementary roles of linear drivers.Nonlinear dynamics,with Random Forest achieving high predictive accuracy(R^(2)=0.892 for training,0.588 for testing).These findings demonstrate that aerosol variability in Jaipur is governed by a dual influence of natural dust and anthropogenic emissions,with wavelength-specific responses.The results provide scientific evidence for integrating satellite monitoring,ground observations,and predictive models into urban air quality management and climate adaptation strategies in semi-arid regions.
基金supported by the National Natural Science Foundation of China(Grant No.42371038)the Basic Research Innovation Group Project of Gansu Province(No.22JR5RA129)+1 种基金the 2022 Major Scientific Research Project Cultivation Program of Northwest Normal University(No.WNU-LKZD2022-04)the 2022 Northwest Normal University Graduate Research Grant Program(No.2022KYZZ-B066).
文摘The survival and mortality of conifer trees in response to climate change,particularly drought stress,have received considerable attention.However,it is crucial to explore the growth dynamics of the same conifer species in response to climate change in different climatic habitats.In this study,we aimed to quantify variations in the radial growth processes of conifer species,analyze their resilience during drought periods under different climatic habitats,and assess the impact of climate adaptation on conifer growth.We focused on two conifer species,Picea crassifolia(spruce)and Pinus tabuliformis(pine),which are distributed in both a humid habitat and a dry habitat in the northeastern Tibetan Plateau.Growth and resilience dynamics were identified across both climatic habitats and the contributions of temperature and moisture to the growth of the two species were simulated under drought stress using the VS-oscilloscope model.Spruce growth exhibited significant variability between climatic habitats.Specifically,the spruce growth rate declined in response to drought in the dry habitat(-0.91 cm^(2)per decade,p<0.01).In contrast,pine growth remained relatively stable(humid habitat:-0.03 cm^(2)per decade;dry habitat:0.25 cm^(2)per decade,p>0.01),although it still responded to stress during the growing season(p<0.05).Furthermore,spruce displayed reduced resistance during stress in dry habitats(-30.11%),while pine exhibited an enhanced recovery of growth rates to ensure survival(+39.62%).The climate adaptation strategies of the species were linked to the contribution of temperature and moisture to their growth rates.Moisture is critical for the growth recovery of both conifers in dry habitats when temperature-associated growth displays a‘bimodal’pattern during the growing season.These findings have significant ecological implications for understanding conifer forest processes in the context of global climate change.
基金funded by the National Key Research and Development Plan of China(No.2022YFE0127900)the National Natural Science Foundation of China(Nos.32071558,32171559)+2 种基金the Natural Science Foundation Key Project of Inner Mongolia Autonomous Region,China(No.2023ZD23)the Hulunbuir Science and Technology Plan Project(No.SF2022001)the Fundamental Research Funds of CAF(CAFYBB2023ZA002).
文摘Increasing temperatures and severe droughts threaten forest vitality globally.Prediction of forest response to climate change requires knowledge of the spatiotemporal patterns of monthly or seasonal climatic impacts on the growth of tree species,likely driven by local climatic aridity,climate trends,edaphic conditions,and the climatic adaption of tree species.The ability of tree species to cope with changing climate and the effects of environmental variables on growth trends and growth-climate relationships across diverse bioclimatic regions are still poorly understood for many species.This study investigated radial growth trends,interannual growth variability,and growth-climate sensitivity of two dominant tree species,Pinus tabulaeformis(PT)and Pinus sylvestris var.mongolica(PS),across a broad climatic gradient with a variety of soil properties in temperate Northern China.Using a network of 83 tree ring chronologies(54 for PT and 29 for PS)from 1971 to 2010,we documented that both species maintained constant growth trends at wet sites,while both displayed rapid declines at dry sites.We reported the species-specific drivers of spatial heterogeneity in growth trends,interannual growth variability,and growth-climate relationships.Calculated climatic variables and soil properties were identified as the most critical factors affecting the growth trends and growth-climate relationships.However,climatic variables play more essential roles than soil properties in determining the spatial heterogeneity of the growth-climate relationship.Lower clay content and higher soil nutrient regimes can exacerbate the moisture-related susceptibility of tree growth.Our findings highlight that soil properties emerged as important modulating factors to predict the drought vulnerability of forests in addition to climatic variables.Considering the continued climate warmingdrying trend in the future,both pines will face a more severe growth decline and increase in drought vulnerability at drier sites with lower clayed soil or higher nutrient regimes.
基金Supported by the National Key Technology R&D Program(2006BAC01A02)the CAS Action-Plan for West Developmert(KZCX2XB20601)~~
文摘Based on observation data from the mini-type automatic weather station,the evapotranspiration quantity of reference crops from artificial grassland in three river sources areas was estimated by the method of FAO Penman-Monteith.The actual evapotranspiration quantity of grassland was calculated according to the synthetic crop coefficients referenced by FAQ-56,and the change of the actual evapotranspiration quantity of artificial grassland in three river sources areas as well as the relationship between the evapotranspiration quantity and climatic factors were studied.The results suggested that the seasonal change of actual evapotranspiration quantity in grassland was expressed in a single peak curve with the peak in the middle August,and daily transpiration quantity in summer was significantly larger than that in winter.The evapotranspiration was significantly correlated with air temperature,solar radiation and relative humidity,but not significantly correlated with wind speed.Effects of climatic factors on the evapotranspiration quantity of artificial grassland were ordered as follow:air temperature(T)>solar radiation(Ra)>relative humidity(RH)>wind speed(u2).
基金This paper was supported by the National Natural Sci-ence Foundation of China (Grant No. 40371001) and the Youth Foundation of Beijing Normal University
文摘An improved Carnegie Ames Stanford Approach model （CASA model） was used to estimate the net primary productivity （NPP） of the Northeast China Transect （NECT） every month from 1982 to 2000. The spatial-temporal distribution of NPP along NECT and its response to climatic change were also analyzed. Results showed that the change tendency of NPP spatial distribution in NECT is quite similar to that of precipitation and their spatial correlation coefficient is up to 0.84 （P 〈 0.01）. The inter-annual variation of NPP in NECT is mainly affected by the change of the aestival NPP every year, which accounts for 67.6% of the inter-annual increase in NPP and their spatial correlation coefficient is 0.95 （P 〈 0.01）. The NPP in NECT is mainly cumulated between May and September, which accounts for 89.8% of the annual NPP. The NPP in summer （June to August） accounts for 65.9% of the annual NPP and is the lowest in winter. Recent climate changes have enhanced plant growth in NECT. The mean NPP increased 14.3% from 1980s to 1990s. The inter-annual linear trend of NPP is 4.6 gC·m^-2·a^-1, and the relative trend is 1.17%, which owns mainly to the increasing temperature.
基金supported by the "Eleventh Five-Year" National Science and Technology Support Project (2006BAD23B04)National Forestry Public Benefit Research Founda-tion (No200804002)the Youth Foundation of Northeast Forestry University (No09051)
文摘Monthly projections of maximum temperature,relative humidity,precipitation,and wind speed were made based on the model of HadCM3 and the climatic change scenarios of IPCC SRES A2a and B2a for the future scenario periods of 2010–2039（referred to as 2020s）,2040–2069（referred to as 2050s）,and 2070–2099（referred to as 2080s）.The period 1961–1990 was chosen as the baseline period.The observed and projected weather data were downscaled using delta change methods and historical relationships between weather data,area burned,and the seasonal severity rating（SSR） code of the Canadian Fire Weather Index System were examined.The variations of area burned as influenced by climate change were assessed quantitative and qualitative for the study region,assuming that the fire regimes had the similar responses to the warming climate as during the 20th century.Our results indicated that a linear regression relationship existing between the historical area burned and the mean SSR values with regression coefficient in the significant range of 0.16 to 0.61.It was evident that the increased SSR values could result in more area burned;the area burned in the study region would have an increasing pattern during the 21st century under scenarios A2a and B2a scenarios and the area burned would be doubled.Also,the future area burned would have a strong seasonal pattern that more fires would occur in summer and autumn fire season,especially in summer.The area burned in summer fire season would increase by 1.5 times compared to that in the baseline period in 2080s under A2a scenarios.
基金Supported by Modern Agricultural Industry Technology System(nycytx-19-E16)Natural Science Foundation of Hunan Province(10JJ3063)~~
文摘[Objective] This study was to investigate the climatic factors affecting the regional eco-adaptability of ramie.[Method] Five experimental sites of different eco-types in ramie growing regions in Yangtze Valley were set up to investigate the yield of Zhongzhu No.2,based on which we assessed the adaptability of Zhongzhu No.2 to various eco-regions and further analyzed the climatic factors causing the difference in eco-adaptability.[Result] Ramie yield varied largely among various experimental sites and the yield difference appeared to be well repeatable,with a differential value between the maximum and the minimum reaching 2.3 kg/20 m2.Analysis of the yield data,together with climatic factors in various ecological regions showed that yield of Zhongzhu No.2 was significantly correlated with rainfall,sunshine hours,relative humidity during its growing period.Of the climatic factors,sunshine hours and rainfall can positively promote yield increase,while relative humidity negatively regulate ramie yield.[Conclusion] The climatic indices,including rainfall,sunshine duration and relative humidity are a key factor causing yield difference in ramie among different regions of Yangtze Valley.
