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Effects of wetland connectivity on plant communities and vegetation patterns in the Qaidam Basin 认领 引用
1
作者 YUE Yifan MA Dengke +3 位作者 MA Yuanyuan KANG Wenrong ZHOU Guoying ZHAO Wenzhi 《Journal of Arid Land》 SCIE CAS CSCD 2026年第4期696-714,共19页
The Qaidam Basin,a typical alpine arid inland basin on the northern Qinghai-Xizang Plateau,China,hosts wetland ecosystems that are strongly constrained by topography and extreme climate.These ecosystems exhibit pronou... The Qaidam Basin,a typical alpine arid inland basin on the northern Qinghai-Xizang Plateau,China,hosts wetland ecosystems that are strongly constrained by topography and extreme climate.These ecosystems exhibit pronounced spatiotemporal heterogeneity and fragmented distribution patterns,rendering them highly sensitive to environmental change.This study integrated Sentinel-2 remote sensing imagery with the SedInConnect model to delineate wetland patch distributions and calculate the Index of Connectivity(IC)values across the basin.Based on IC values,we stratified field sampling sites into high-,moderate-,and lowconnectivity gradient groups to analyze the relationships among plant community characteristics,vegetation spatial patterns,and wetland connectivity in the Qaidam Basin.Partial Least Squares Path Modeling(PLSPM)was further employed to quantify the driving mechanisms underlying wetland vegetation characteristics.The results revealed that wetland connectivity across the basin was generally low,with IC values up to 1.32 and displaying a west-to-east decreasing gradient.The west and northwest were characterized by relatively continuous high-connectivity wetland networks,while fragmented and low-connectivity wetlands predominated in the east and southeast.Connectivity regulated wetland vegetation patterns primarily by affecting patch size,fragmentation,and internal adjacency.High-connectivity areas had higher class area(CA),largest patch index(LPI),and area-weighted mean patch size(AREA_AM)than low-connectivity areas.Connectivity had the strongest effect on vegetation coverage,which declined sharply from 87.577%in highconnectivity areas to 12.152%in low-connectivity areas.Meanwhile,species diversity showed a moderately negative response to connectivity changes,whereas species evenness remained relatively unaffected.PLS-PM explained 78.300%and 67.500%of the variance in vegetation community and vegetation pattern,respectively.Climate played a dominant role in shaping vegetation characteristics,with significant negative effects on both vegetation community and pattern.Topography influenced vegetation indirectly through climate,and connectivity was influenced by both drivers and exerted positive effects on vegetation community and pattern.This study reveals the multi-pathway driving mechanisms underlying vegetation pattern formation in alpine wetlands,providing a theoretical foundation and decision-support framework for the scientific conservation and adaptive management of wetlands in the Qaidam Basin. 展开更多
关键词 connectivity gradient wetland vegetation vegetation pattern community characteristics driving mechanisms
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Mapping vegetation phenology and its response to climate change in Southwest China using solar-induced chlorophyll fluorescence 认领 引用
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作者 TANG Feng GE Zhongxi +5 位作者 TANG Bohui FANG Liuyang ZHANG Zhen FAN Dong CHEN Junyi ZHU Xinming 《Journal of Mountain Science》 SCIE CSCD 2026年第1期97-117,共21页
Accurate phenological information is essential for measuring ecosystem dynamics and carbon uptake.Southwest China is one of the country's largest terrestrial carbon sink regions and plays a crucial role in carbon ... Accurate phenological information is essential for measuring ecosystem dynamics and carbon uptake.Southwest China is one of the country's largest terrestrial carbon sink regions and plays a crucial role in carbon peaking and neutrality.However,its complex terrain,fragile ecosystem,and variable climate challenge carbon sink stability.Vegetation phenology significantly impacts carbon absorption and release,making accurate phenological data essential for understanding carbon sequestration dynamics.The widespread distribution of evergreen forests and their weak seasonal variation in canopy introduce significant uncertainties in extracting phenology using traditional remote sensing information in this region.These limitations can lead to inaccurate assessments of carbon sink dynamics.Therefore,precise phenology extraction and analysis are vital for improving ecosystem dynamics and the carbon cycle in Southwest China.Firstly,we employed different ways to evaluate the ability of solar-induced chlorophyll fluorescence(SIF)and traditional remote sensing information to extract phenology.Secondly,based on SIF,we analyzed the spatial and temporal changes in the start of the growing season(SOS),the end of the growing season(EOS),and the length of the growing season(LOS)from 2001 to 2020.Finally,we systematically analyzed the response of SOS and EOS to five preseason climatic factors.The results showed that(1)SIF outperformed traditional remote sensing information in extracting phenology.(2)Vegetation phenology exhibited significant spatial heterogeneity.Moreover,SOS,EOS,and LOS showed trends of advancement,delay,and extension both overall and across all vegetation types.(3)Precipitation was the main factor influencing SOS,while surface downward solar radiation and mean temperature were the main factors affecting EOS,and the phenology of different vegetation types showed a great difference in response to preseason climate factors.These findings improve our understanding of vegetation phenology and its dynamics over Southwest China. 展开更多
关键词 Carbon stability Mountain area Vegetation phenology Evergreen vegetation Solar induced chlorophyll fluorescence
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Dynamic vegetation change response to topography based on Landsat observations in the Tianshan Mountains,China during 2000–2022 认领 引用
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作者 WEN Di LI Jun +2 位作者 XU Weifeng CHEN Zhixiang PENG Dailiang 《Journal of Arid Land》 SCIE CAS CSCD 2026年第3期501-523,共23页
In the arid regions of Northwest China,vegetation cover plays a crucial role in maintaining unique terrestrial ecosystems.Vegetation growth is highly sensitive to variations in topographical factors,and the influence ... In the arid regions of Northwest China,vegetation cover plays a crucial role in maintaining unique terrestrial ecosystems.Vegetation growth is highly sensitive to variations in topographical factors,and the influence of topography on vegetation cover has attracted increasing attention.This study analyzed vegetation dynamics and their relationship with topography in the Tianshan Mountains of China using Landsat Normalized Difference Vegetation Index(NDVI)data during 2000–2022 and Shuttle Radar Topography Mission(SRTM)-derived topographical factors(elevation,slope,and aspect).Theil-Sen slope estimation and Mann-Kendall trend tests were applied to quantify temporal changes in vegetation,while a terrain area correction coefficient(K)was used to assess spatial associations of vegetation with topography.Random Forest(RF)regression and SHapley Additive exPlanations(SHAP)analysis evaluated the relative importance of topographical factors in shaping vegetation cover(multi-year mean NDVI)distribution.Key findings included that over the 23-a period,59.46%of the vegetated area exhibited significant improvement(P<0.05),with the southern Tianshan Mountains showing the most pronounced increase(70.59%),whereas vegetation degradation(3.10%)was primarily concentrated in river valleys with intensive human activities.RF-SHAP analysis revealed that elevation is the primary driver of vegetation cover patterns,explaining 52.00%of the NDVI variation.The peak NDVI(0.42)occurred at elevations between 2800 and 3200 m.Slope and aspect also significantly influenced vegetation distribution,and higher NDVI values and greater improvement trends were observed on shady(north-facing)slopes compared to sunny(south-facing)slopes.K-index analysis indicated pronounced vegetation change—both degradation and improvement—in areas with elevations between 1100 and 2800 m and slopes exceeding 5°,particularly on sunny slopes.Low-elevation desert areas in the southern Tianshan Mountains were highly susceptible to degradation.This study underscores the critical role of topography in regulating vegetation cover and its spatiotemporal dynamics,providing a scientific basis for sustainable management of arid mountain ecosystems. 展开更多
关键词 topography vegetation dynamics Normalized Difference Vegetation Index(NDVI) Random Forest(RF) SHapley Additive exPlanations(SHAP) Tianshan Mountains
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Spatial suitability assessment of restored vegetation and sustainable restoration strategies in China 认领 引用
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作者 Jialan Nan Wenqi Han +2 位作者 Qinggong Han Yongxia Ding Shouzhang Peng 《Geography and Sustainability》 CSCD 2026年第3期76-89,共14页
China's large-scale ecological restoration programs have markedly increased vegetation cover,but their ecological suitability and long-term sustainability remain insufficiently evaluated.To support the development... China's large-scale ecological restoration programs have markedly increased vegetation cover,but their ecological suitability and long-term sustainability remain insufficiently evaluated.To support the development of sciencebased restoration strategies,this study introduced potential natural vegetation(PNV)as a reference and developed an innovative hybrid model combining random forest algorithm and process-based model(i.e.,LPJ-GUESS)to map PNV distributions.Results showed that the hybrid model achieved high predictive accuracy,with an overall classification accuracy of 0.89 and kappa coefficient of 0.87.A comparative analysis of the spatial distribution of the restored(and existing)vegetation and that of the PNV under both the current and the future period was conducted.It revealed that 6.7%of restored forests and 48.8%of restored grasslands were mismatched with PNV,indicating widespread misallocation of restoration efforts under current ecological restoration programs.Moreover,2.5%of existing forests and 34.2%of existing grasslands were mismatched with PNV in the current period(1993-2022),while 0.5%-1.4%of existing forests and 50.8%-70.4%of existing grasslands are projected to be mismatched with PNV in the future period(2071-2100)under different SSP scenarios.About 32.4%-41.5%of China's land area was identified as unstable PNV region under future climate change,within which various vegetation transitions are likely to occur.These findings highlight the necessity to align ecological restoration programs with ecological suitability and sustainability criteria to achieve long-term resilience and cost-effectiveness.The hybrid modeling framework offers a robust tool for guiding adaptive restoration planning across China. 展开更多
关键词 Sustainable vegetation restoration Potential natural vegetation Future climate scenarios Hybrid model LPJ-GUESS model
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Unveiling vegetation restoration effect on the heavy metal immobilization and aggregate-associated organic carbon in lead-zinc tailings 认领 引用
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作者 Tao Tian Chunyue Wu +2 位作者 Chuangye Yao Shuai Yi Zulfiqar Ali Sahito 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2026年第5期687-696,共10页
Tailings contaminated with multiple metals represents a significant environmental concern owing to their toxicity,persistence,and capacity to bioaccumulate within the food chain.Heavy metal distribution in tailings is... Tailings contaminated with multiple metals represents a significant environmental concern owing to their toxicity,persistence,and capacity to bioaccumulate within the food chain.Heavy metal distribution in tailings is closely linked to aggregate-related characteristics.To elucidate the effect of vegetation restoration on heavy metals and organic carbon in lead-zinc tailings,this study investigated tailing aggregates across four different vegetation coverage types:dense area(DA),sparse area(SA),bare area(BA),and control group(CK).The results showed that the heavy metals in lead-zinc tailings were mainly Pb,Cd,Cu,and Zn.Heavy metals in tailings accumulate more readily in microaggregates,while macroaggregates have lower heavy metal concentrations.With the improvement of vegetation restoration,the form transformation of heavy metals occurred,and the residual-state Pb,Cd,Cu,and Zn in tailings increased.In addition,vegetation restoration promoted macroaggregate formation and enhanced aggregate stability in tailings.Macroaggregates in tailings contained higher organic carbon contents relative to microaggregates,and vegetation restoration enhanced the sequestration and accumulation of organic carbon in tailing aggregates.Correlation analysis indicated that the tailing pH was negative correlated with acid-soluble Cd,acid-soluble Cu,and acid-soluble Zn in tailings.A positive correlation was found between aggregate stability and macroaggregate-associated organic carbon,along with a strong negative correlation between organic carbon in<0.05 mm and acid-soluble Cd,Cu,and Zn.These findings suggest that vegetation restoration regulates heavy metal concentrations,enhances aggregate stability,and promotes organic carbon sequestration in lead-zinc tailings. 展开更多
关键词 Heavy metals Vegetation restoration Aggregates Organic carbon Lead-zinc tailings
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Vegetation sensitivity to drought depends on bedrock type in a subtropical karst landscape in Southwest China 认领 引用
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作者 Xiaona Li Dingwu Zhang +4 位作者 Yinxixue Pan Xiaogang You Weijun Luo Hongyan Liu Zihan Jiang 《Plant Diversity》 SCIE CAS CSCD 2026年第3期586-597,共12页
Droughts pose a significant global threat to ecosystem stability and plant diversity.The sensitivity of vegetation to drought is highly variable,influenced by both vegetation types and landscape properties.However,lit... Droughts pose a significant global threat to ecosystem stability and plant diversity.The sensitivity of vegetation to drought is highly variable,influenced by both vegetation types and landscape properties.However,little is known about whether bedrock type influences vegetation drought sensitivity,especially in karst regions,where unique hydrogeology creates severe water stress for surface vegetation.In this study,we quantify the effect of bedrock types(i.e.,limestone,dolomite,and clastic rocks)on vegetation drought sensitivity karst regions across Guizhou Province(China).We found that during the early growing season,vegetation sensitivity to drought was 1.3–1.8 times higher in limestone areas than in dolomite and clastic areas.We also determined that the duration of dry spells is a critical temporal factor that amplifies drought stress.Hierarchical modeling indicated that models jointly incorporating bedrock type and dry spell duration significantly improve predictions of vegetation activity.These findings highlight the crucial role bedrock's in shaping vegetation growth under drought conditions,supporting the integration of bedrock data into hydrologic and climate models to improve their predictive accuracy under drought stress. 展开更多
关键词 Karst Vegetation activity Bedrock types Drought Dry spell duration
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Optimizing a multimedia model to assess the differential roles of crops and natural vegetation in the fate of PAHs 认领 引用
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作者 Chao Su Danfeng Zheng +7 位作者 Wenlei Chen Kifayatullah Khan Hong Zhang Shuai Song Ruoyu Liang Xiaoyu Zhang Yong Liu Xianghui Cao 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2026年第1期413-423,共11页
Vegetation plays an important role in the environmental transport behavior of organic pollutants,however,the different roles of crops and natural vegetation have been ignored in most previous studies.In this study,we ... Vegetation plays an important role in the environmental transport behavior of organic pollutants,however,the different roles of crops and natural vegetation have been ignored in most previous studies.In this study,we developed the BETR-Urban-Rural-Veg model to quantitatively evaluate the influences of both natural vegetation and crops on the multimedia transport processes of Phenanthrene(PHE)and Benzo(a)pyrene(BaP)in mainland of China.The geographic distribution of polycyclic aromatic hydrocarbon(PAH)emissions and concentrations were consistent,displaying higher levels in northern China while lower levels in southern China.Under seasonal simulations,for both natural vegetation and crops,PAH concentrations in winter and spring were 1.5 to 27-fold higher than in summer and autumn,especially for PHE.Owing to the higher leaf area index(LAI)of natural vegetation and harvesting of crops,the filter and sequestration effect of natural vegetation was stronger than crops,while the seasonal changes of PAH concentrations in crops were more significant than natural vegetation.Temperature,precipitation rates and LAI might have important influences on seasonal concentrations and overall persistence of PAHs.PHE was more sensitive to the impacts of seasonal environmental parameters.Under different landscape scenarios,average annual PAH concentrations in natural vegetation were always a little higher than those in crops,and the overall persistence of BaP was greatly affected increasing by 15.15%-16.47%.This improved model provides a useful tool for environmental management.The results of this study are expected to support land use plans and decision-making in China's mainland. 展开更多
关键词 Multimedia fate model Natural vegetation Crops Seasonal variabilities Landscape scenarios
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Trajectories of vegetation dynamics and their driving factors across China Ecosystem Research Network:A long-term assessment(2000–2024) 认领 引用
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作者 ZHANG Shuyi JIN Ziwen +7 位作者 CI Mengyao ZENG Ke WANG Yue TANG Hanxin ZHANG Rui CAI Chaolin CAO Xianzhong LIU Min 《Journal of Geographical Sciences》 SCIE CSCD 2026年第5期1059-1077,共19页
Long-term monitoring of vegetation dynamics is essential for assessing ecosystems resilience and responses to climate change.The China Ecosystem Research Network(CERN)is a national long-term observation network that p... Long-term monitoring of vegetation dynamics is essential for assessing ecosystems resilience and responses to climate change.The China Ecosystem Research Network(CERN)is a national long-term observation network that provides an ecological baseline across China’s major ecosystems.This study analyzed vegetation trends and their driving factors from2000 to 2024 across 34 CERN field stations and their surrounding areas.An intercomparison of multiple NDVI products revealed substantial inconsistencies.MODIS NDVI exhibited superior temporal stability and spatial coherence and was therefore selected for long-term analysis.The mean NDVI at CERN stations(0.419)was 37.8%higher than the national average(0.304),and showed significantly faster greening trends(0.022/10 a)compared to suburban(0.013/10 a)and rural(0.017/10 a)areas,reflecting effective vegetation restoration and stable ecosystem management.Vegetation changes at CERN field stations were predominantly governed by climatic rather than anthropogenic factors.Among different ecosystem types,air temperature(AT),sunshine duration(SD),and relative humility(RH)were the dominant drivers in farmland,forest,and wetland.For grassland,AT and SD were the main drivers,whereas AT and RH exerted the strongest influence in the desert ecosystem.These findings confirm the representativeness of CERN stations and underscore the predominant role of climatic factors in shaping long-term vegetation trajectories across China’s diverse ecosystems. 展开更多
关键词 vegetation dynamics NDVI climate change human activities CERN China
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Urban expansion drives both loss and compensation in city vegetation productivity 认领 引用
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作者 Xinyue Liu Tianshan Zha +6 位作者 Charles P.-A.Bourque Peng Liu Hongxian Zhao Tingshan Li Xinhao Li Yun Tian Xin Jia 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2026年第2期591-599,共9页
Urbanization alters vegetation productivity by both direct(ωd)and indirect(ωi)effects.The direct effect is from the change of vegetated area indicated by impervious surface intensity(ISI),while indirect effects a... Urbanization alters vegetation productivity by both direct(ωd)and indirect(ωi)effects.The direct effect is from the change of vegetated area indicated by impervious surface intensity(ISI),while indirect effects arise from changes in urban environmental factors,such as near-surface air temperatures,precipitation,urban heat island(UHI)intensity,and population density(POP).The respective contributions ofωd andωi to vegetation net primary productivity(NPP)under various phases of urbanization are not well quantified.Using multisource remote-sensing data from 1990 to 2020,we analyzed the spatiotemporal variation in urban expansion and the effect thatωd andωi had on NPP in the megalopolis of Beijing,China,over 5-year intervals.During this period,Beijing underwent significant planar expansion rates of about 58.9 km2/yr.Annual mean loss of NPP byωd was estimated to be about 77.1 g C/(m2·yr)during the 1990-2020 period,while annual mean improvement to NPP byωi amounted to an increase of 28.9 g C/(m2·yr).The NPP losses were partially offset by NPP improvements in the order of 18.6%-69.3%.The impact of forcing variables on NPP varied spatially.Air temperature,precipitation,UHI,POP,and ISI explained about 13.8%,23.2%,23.7%,14.7%,and 24.6%of the spatial variation in NPP.The impact of air temperature on NPP was related to available moisture,negatively affecting NPP in regions with water deficits.Our findings demonstrate the dual impact of urbanization on vegetation and underscore the necessity for spatially adaptive ecological management strategies in regions experiencing rapid urban growth. 展开更多
关键词 Impervious surface intensity Vegetation productivity Compensation Spatial heterogeneity
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Spatiotemporal Variability of Vegetation Phenology and Its Response Mechanism to Extreme Climate Events in Southwest China 认领 引用
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作者 LIU Zicheng CHEN Guokun +3 位作者 DUAN Xingwu WEN Qingke TAN Rui FENG Junxing 《Chinese Geographical Science》 SCIE CAS CSCD 2026年第3期394-413,共20页
Global warming exacerbates the intensity,frequency,and duration of extreme climate events,and has profound impacts on vegetation phenology.Plateau mountains are highly sensitive to climate change,resulting in a more c... Global warming exacerbates the intensity,frequency,and duration of extreme climate events,and has profound impacts on vegetation phenology.Plateau mountains are highly sensitive to climate change,resulting in a more complex response mechanism.In this study,we utilized multi-source remote sensing data to identify key vegetation phenology periods,namely the Start of Season(SOS),the End of Season(EOS),and the Length of Season(LOS),and derived 17 extreme climate indices from national meteorological station data.A comprehensive suite of analytical methods was utilized,including linear regression,Sen's slope,Mann-Kendall significance tests,partial correlation analysis,and structural equation modeling,to quantitatively assess the spatiotemporal variations in vegetation phenology and its response mechanism to extreme climate events with varying intensities,frequencies,and durations in Southwest(SW)China.The results show that:1)during 2003–2022,SOS has advanced by 0.22 d/yr,EOS has delayed by 0.28 d/yr,and LOS has lengthened by 0.49 d/yr.Phenology shifts are altitude-sensitive,with a later SOS,an advanced EOS,and a shortened LOS at higher elevations.SOS begins earliest in the central and northern subtropical zones of study area,including eastern Sichuan,Chongqing,Guizhou,and Yunnan,and latest in the plateau frigid zone,including northern Xizang.EOS ends earliest in the plateau frigid zone and latest in the marginal tropics and south subtropical zones,with the plateau frigid zone also having the shortest LOS.2)Temporally,extreme precipitation intensity and frequency in the region have risen significantly,with dry-related event duration shortening and wet-related duration lengthening.Extreme warming prevails,with cold extremes decreasing and high-temperature extremes increasing significantly.The intensity of extreme precipitation extends to high-altitude areas,with the overall spatial coverage expanding,and the most significant changes observed in Xizang.The frequency of extreme precipitation gradually shifted and concentrated eastward,showing more prominent increasing characteristics in Sichuan and Chongqing.Meanwhile,consecutive wet days(CWD)exhibits distinct spatial distribution characteristics,mainly concentrated in eastern Sichuan and parts of Chongqing and Guizhou.3)SOS negatively correlates with extreme precipitation intensity and duration indices but positively with frequency indices,indicating enhanced extreme precipitation promotes vegetation growth and advances SOS.SOS is positively correlated with warm spell duration(WSDI),while EOS shows the strongest negative correlation with number of warm days(TX90p).These results suggest extreme temperature indices inhibit vegetation growth initiation and cessation,with extreme precipitation as the primary driver of regional vegetation phenological changes.These findings deepen the understanding of vegetation phenology's response to extreme climate events in SW China's plateau mountains and provide scientific support for optimizing ecological conservation and climate adaptation strategies in sensitive areas. 展开更多
关键词 vegetation phenology extreme climate structural equation modeling response mechanism Southwest(SW),China
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Differential Vegetation Feedback on the Global Land Monsoon System during the Mid-Holocene and Last Interglacial 认领 引用
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作者 Zhenqian WANG Qiong ZHANG +1 位作者 Jie CHEN Zixuan HAN 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2026年第1期103-119,共17页
This study investigates the impact of vegetation-climate feedback on the global land monsoon system during the Last Interglacial(LIG,127000 years BP)and the mid-Holocene(MH,6000 years BP)using the earth system model E... This study investigates the impact of vegetation-climate feedback on the global land monsoon system during the Last Interglacial(LIG,127000 years BP)and the mid-Holocene(MH,6000 years BP)using the earth system model EC-Earth3.Our findings indicate that vegetation changes significantly influence the global monsoon area and precipitation patterns,especially in the North African and Indian monsoon regions.The North African monsoon region experienced the most substantial increase in vegetation during both the LIG and MH,resulting in significant increases in monsoonal precipitation by 9.8%and 6.0%,respectively.The vegetation feedback also intensified the Saharan Heat Low,strengthened monsoonal flows,and enhanced precipitation over the North African monsoon region.In contrast,the Indian monsoon region exhibited divergent responses to vegetation changes.During the LIG,precipitation in the Indian monsoon region decreased by 2.2%,while it increased by 1.6%during the MH.These differences highlight the complex and region-specific impacts of vegetation feedback on monsoon systems.Overall,this study demonstrates that vegetation feedback exerts distinct influences on the global monsoon during the MH and LIG.These findings highlight the importance of considering vegetation-climate feedback in understanding past monsoon variability and in predicting future climate change impacts on monsoon systems. 展开更多
关键词 Last Interglacial mid-Holocene global land monsoon vegetation feedback
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Quantitative Assessment of Impact of Super Typhoon‘Yagi’on Vegetation Ecosystems Based on Multi-source Data 认领 引用
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作者 DU Yunxia GUO Dongyan +3 位作者 REN Zhibin HUANG Ya ZHONG Yingping SONG Qin 《Chinese Geographical Science》 SCIE CAS CSCD 2026年第8期1412-1425,共14页
As extreme climatic events,super typhoons can exert severe threats to terrestrial vegetation ecosystems.Super typhoon‘Yagi’(No.2411),recognized as the most intense tropical cyclone worldwide in 2024,was characterize... As extreme climatic events,super typhoons can exert severe threats to terrestrial vegetation ecosystems.Super typhoon‘Yagi’(No.2411),recognized as the most intense tropical cyclone worldwide in 2024,was characterized by prolonged duration,extensive spatial impact,and exceptional destructive capacity.This study evaluated the sensitivity and response mechanisms of surface vegetation ecosystems to super typhoons on multiple dimensions using remote sensing,survey,and observation data.The results revealed that:1)this super typhoon(intensity≥level 7)affected an area of 1484145 km2;506640 km2was terrestrial area.Typhoon intensity was positively correlated with the severity of vegetation destruction,following a concentric gradient pattern that decreased radially from the typhoon’s core.2)In non-built-up area,forest ecosystems were the predominant land cover type that is affected by the super typhoon(271807 km2),followed by croplands(69151 km2).Different forest ecosystems exhibited varying susceptibility to the super typhoon.Mixed forests demonstrated extreme susceptibility,with 60.30%Normalized Difference Vegetation Index(NDVI)deterioration,whereas broadleaf forests exhibited comparatively greater wind resistance(30.89%NDVI deterioration).3)In built-up area,the sensitivity of vegetation of urban functional zones to super typhoon‘Yagi’exhibited spatial heterogeneity,influenced by landscape patterns.Sensitivity of different tree species to the super typhoon also varied,with Areca catechu exhibiting an 85%uprooting rate,while Syagrus,Pterocarpus indicus and Dypsis lutescens maintained uprooting rates below 10%.This study quantitatively assesses the heterogeneous impacts of super typhoon‘Yagi’on vegetation across large scales,and provided scientific references for typhoon disaster prevention and mitigation strategies. 展开更多
关键词 super typhoon typhoon‘Yagi’ forest ecosystems urban vegetation vegetation degradation
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Spatiotemporal Patterns and Drivers of Vegetation Carbon Sequestration in Shandong Province,China 认领 引用
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作者 WEI Feili LIU Dahai +6 位作者 WU Shuyao LYU Shuang HAN Zhibo WANG Yongxun REN Yongqiang LI Xiaoxuan LIU Zhenhang 《Chinese Geographical Science》 SCIE CAS CSCD 2026年第1期157-170,I0008-I0014,共14页
Understanding the dynamics of vegetation carbon sequestration(VCS)is essential for regional carbon neutrality strategies.This study revealed the spatiotemporal patterns of VCS and its relationship with anthropogenic c... Understanding the dynamics of vegetation carbon sequestration(VCS)is essential for regional carbon neutrality strategies.This study revealed the spatiotemporal patterns of VCS and its relationship with anthropogenic carbon emissions(ACEs)in Shandong Province,China during 2000-2020,and identified the sensitivity factors affecting VCS.The results show that:1)VCS increased consistently from 193.45 million t to 256.41 million t,with high values areas concentrated in the central,northeastern,and southeastern mountainous and hilly regions,while low values were found in water bodies and urban built-up areas.At the city level,Linyi,Yantai,Binzhou,and Jinan experienced the most significant rises-reaching up to 243000 t/yr.At the county level,Pingdu,Qixia,and Yiyuan also showed substantial growth,each exceeding 30400 t/yr.2)Digital Elevation Molde(DEM)was identified as the dominant natural factor influencing VCS distribution,while land use optimization measures,especially afforestation and farmland conversion in sloped terrain,were the primary human drivers of VCS increase.3)Urbanization and carbon neutrality were not mutually exclusive.While urban expansion locally reduced VCS,rural emigration enhanced carbon sinks in surrounding areas,partially offsetting urban losses.This compensatory mechanism supported VCS increases in nearly all cities and 90% of counties.Nevertheless,with ACEs continuing to rise and the offset ratio by VCS declining,achieving carbon neutrality requires regional strategies that integrate with accelerated energy conservation,emission reduction technologies,and energy transition.These findings provide a scientific basis for decomposing carbon neutrality targets across cities and counties in Shandong and a reference for developing localized land use policies in similar regions. 展开更多
关键词 vegetation carbon sequestration(VCS) anthropogenic carbon emissions(ACEs) carbon neutrality targets land use management Shandong Province,China
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Patterns and drivers of vegetation resilience across China and the negative impact of warm droughts 认领 引用
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作者 Xueming Zhao Zhaoju Zheng +4 位作者 Bernhard Schmid Yujin Zhao Dan Zhao Bingfang Wu Yuan Zeng 《Geography and Sustainability》 CSCD 2026年第3期63-75,共13页
Ecological resilience—defined as the capacity of ecosystems to withstand perturbations—is an important dimension of ecosystem stability.However,the spatial patterns and underlying drivers of resilience in forests re... Ecological resilience—defined as the capacity of ecosystems to withstand perturbations—is an important dimension of ecosystem stability.However,the spatial patterns and underlying drivers of resilience in forests relative to grasslands remain poorly understood.Using a temporal autocorrelation index(AC1)derived from satellite-based vegetation indices,we assessed high-resolution(250 m)vegetation resilience from 2000 to 2020 across China's natural terrestrial vegetation.We found that vegetation in forest-dominated regions was more resilient than in grassland-dominated regions,with divergent associations to climate,vegetation,soil,topography,and human drivers.Specifically,forest resilience was primarily associated with climate variables,with path analysis indicating a potential indirect link through vegetation characteristics.By contrast,grassland resilience was strongly related to soil and topographic properties.Particularly,among the climate variables examined,long-term warm drought condition,represented by the negative of Standardized Precipitation Evapotranspiration Index(SPEI),generally showed spatial negative associations with resilience,especially in temperate steppe and subtropical forest regions.Notably,the resilience of cold forests and high-altitude grasslands showed weaker or even positive relationship with warm droughts.These findings highlight the threats posed by ongoing climate change to vegetation resilience,and emphasize the need for ecosystem-specific strategies to enhance resilience in the future. 展开更多
关键词 Ecological resilience Temporal autocorrelation Warm droughts Remote sensing Vegetation index
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Spatio-temporal variations of vegetation cover in the Qilian Mountains from 2000 to 2023 认领 引用
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作者 YingYing Zhang XiaoJun Yao +3 位作者 ShengYun Chen Jing Li YiDan Liu HongYu Duan 《Research in Cold and Arid Regions》 CAS CSCD 2026年第3期226-236,共11页
The Qilian Mountains(QLM)are characterized by their ecological fragility and environmental sensitivity.Vegetation,the dominant ecosystem in this region,plays a crucial role in water conservation,climate regulation and... The Qilian Mountains(QLM)are characterized by their ecological fragility and environmental sensitivity.Vegetation,the dominant ecosystem in this region,plays a crucial role in water conservation,climate regulation and biodiversity protection.Based on fractional vegetation cover(FVC)data,this study employed trend analysis,Pearson correlation analysis,and PLS-PM(Partial Least Squares Path Modeling,PLS-PM)methods to investigate the current distribution characteristics of vegetation in the QLM in 2023 from the perspectives of annual and intra-annual variations,with a detailed exploration of its latitudinal zonality and regional differentiation patterns.Additionally,the spatiotemporal trends of vegetation changes in the QLM from 2000 to 2023 were analyzed,and the contributions of various influencing factors to vegetation dynamics were assessed both qualitatively and quantitatively.The results indicated that:(1)In 2023,the FVC in the QLM exhibited a pattern of lower values in the northwest and higher values in the southeast,with overall vegetation coverage being relatively low.The Huangshui River Basin(HB)had the highest mean FVC at 0.51,while the Haerteng River Basin(HETRB)had the lowest mean FVC at 0.05.Mean FVC decreased with elevation,peaking in the 2,500–3,000 m altitude range.The 98-E longitude line served as a distinct boundary,with more abundant vegetation coverage in the east than in the west.Higher monthly mean FVC values was observed between June and October.Vertical zonal differences in FVC distribution across different basins were significant,with the maximum FVC value of 0.96 observed in July within the 3,000–3,500 m elevation range of the HB.(2)From 2000 to 2023,vegetation in the QLM showed an increasing trend,with the rate of increase fluctuating with elevation and exhibiting upward fluctuations with increasing longitude.Significant differences in vegetation change rates were observed across different basins.The Shiyang River Basin(SYRB)had the highest average annual FVC increase rate at 0.40%,while the HETRB and the Yuka-Tataleng River Basin(YKTTLRB)had the lowest rates at 0.13%.The average FVC change rate demonstrated a significant increasing trend from May to October.(3)Climate remained the primary driver of vegetation growth,exerting a significant direct effect on FVC with a coefficient of 0.9072.Among climatic factors,actual evapotranspiration and precipitation were identified as the dominant influences on vegetation change in the QLM.Altitude and solar radiation had negative feedback effects on FVC,with coefficients of-0.0090 and-0.2244,respectively.Among all factors,climate exhibited a significant total effect(0.6125)on human activities. 展开更多
关键词 Vegetation cover Spatiotemporal dynamics Attribution analysis Partial least squares path modeling Qilian Mountains
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The contributions of nature reserves on the changes of landcover and vegetation coverage in the Qinghai-Xizang plateau during 2000-2050 认领 引用
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作者 Xiaojin Wen Jing Zhang +1 位作者 Chunyu Zhao Zhixuan Lv 《Ecological Frontiers》 CSCD 2026年第1期76-81,共6页
The nature reserves have covered one third of the total area of the Qinghai-Xizang Plateau(QXP),which play a core role in sustaining regional ecological security.However,there is lack of quantitative evidence on compa... The nature reserves have covered one third of the total area of the Qinghai-Xizang Plateau(QXP),which play a core role in sustaining regional ecological security.However,there is lack of quantitative evidence on comparing the contribution of nature reserves on the changes of landcover and vegetation coverage for both past and future in QXP.Based on two new datasets,we compared the changes of landcover and vegetation coverage during 2000-2020 inside and outside the nature reserves in QXP.Based on Patch-generating Land Use Simulation model and Pixel-by-pixel Multiple Linear Regression,we spatialized the future landcover and vegetation coverage during 2030-2050 under SSP245 and SSP585 scenarios.The results showed the grassland increased 17.7%inside the nature reserves during 2000-2020,larger than the 12.4%rate of increase outside the nature reserves.Under the SSP245 scenario during 2030-2050,the grassland will increase 12.0%inside and 9.9%outside the nature reserves,and the bare land will decrease 16.9%inside and 19.6%outside the nature reserves.During 2000-2020,the increases of fraction vegetation coverage(FVC)were 0.0015 a−1inside and 0.0013 a−1outside the nature reserve.The FVC increases were not mostly positively correlated with temperature and precipitation,neither inside nor outside the nature reserves.Under the SSP585 scenario during 2030-2050,the increases of FVC were 0.0020 inside and 0.0016 outside the nature reserve.These findings highlight the positive contribution of nature reserves on the ecological security in QXP for both past and future under the fast climate change and increasing human activity. 展开更多
关键词 Land cover Fraction vegetation coverage Ecological security Scenario simulation Climate change PLUS model
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Response of soil moisture to vegetation restoration:A bibliometric synthesis 认领 引用 被引量：2
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作者 GAN Shao'an HAN Lei +3 位作者 LI Yabei CHANG Yuqing ZHANG Hanxiao TUO Fengwei 《中国水土保持科学（中英文）》 CSCD 北大核心 2026年第1期270-284,共15页
[Objective]Vegetation restoration is an effective strategy for ecological improvement;however,inappropriate vegetation establishment can induce soil desiccation,thereby threatening ecosystem stability.Therefore,elucid... [Objective]Vegetation restoration is an effective strategy for ecological improvement;however,inappropriate vegetation establishment can induce soil desiccation,thereby threatening ecosystem stability.Therefore,elucidating the global response patterns of soil moisture to vegetation restoration and identifying research hotspots are critical for guiding ecological construction in arid regions.[Methods]We reviewed 6,152 articles concerning soil moisture and vegetation retrieved from the Web of Science platform.Using VOSviewer,we conducted analyses of keyword co-occurrence,publication trends,and research hotspots to systematically delineate the evolving trends in this field.[Results]The results indicate a significant increasing trend in the number of publications since 2000.Global research keywords are categorized into seven clusters,including vegetation,soil moisture,rainfall-erosion-infiltration,spatial heterogeneity,and climate change.In terms of highly cited papers in 2024,China and the United States maintain a significant lead.Global research demonstrates a strong dependency on typical regional geographical features(such as climate types and topography),exhibiting differentiated research focuses.Furthermore,studies extend beyond soil moisture itself to deeply couple with ecological processes such as vegetation restoration,soil respiration,carbon cycling,and hydrothermal conditions.[Conclusions]The long-term ecological effects of afforestation in arid regions remain unclear,and empirical data from key regions highlight the current urgency.Future research should integrate climate change dynamics,innovate monitoring methodologies,and deepen the understanding of regional differentiation to provide scientific support for the adaptive management of vegetation in arid regions. 展开更多
关键词 soil moisture vegetation bibliometric analysis VOSviewer
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Divergent vegetation response to increasing grazing pressure in arid and semi-arid rangelands in Argentina 认领 引用
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作者 Dianela Alejandra CALVO Juan José GAITÁN +2 位作者 Juan Manuel ZEBERIO Ana Isabel CASALINI Guadalupe PETER 《Journal of Arid Land》 SCIE CAS CSCD 2026年第1期84-100,共17页
The connection between climatic factors and grazing is essential for maintaining ecosystem function and vegetation productivity.This study examined the impact of grazing intensity on vegetation across a broad climatic... The connection between climatic factors and grazing is essential for maintaining ecosystem function and vegetation productivity.This study examined the impact of grazing intensity on vegetation across a broad climatic gradient spanning the Espinal,Argentine Low Monte,and Patagonian Steppe ecoregions of Argentina.The research was carried out at eight sampling sites with radial grazing gradients generated around artificial water sources(piospheres),exhibiting two contrasting response patterns of vegetation to grazing pressure.One of the response patterns shows a typical vegetation response to grazing that the vegetation productivity increases with the distance to the water sources(decreasing grazing intensity).The second pattern is found in drier regions,where vegetation presents an inverse productivity response that vegetation productivity is higher near water sources(high grazing intensity)due to increased shrub cover.Vegetation productivity was measured using the Normalized Difference Vegetation Index(NDVI).Vegetation patch structure and cover were determined for each site with high,medium,and low grazing intensities.Results indicated that shrub cover is the primary driver of vegetation productivity,showing contrasting responses to grazing intensity between the two identified patterns.While NDVI proved to be a reliable proxy for shrub cover and total vegetation cover(R2>0.70),it failed to reflect grass cover dynamics.Furthermore,mean annual temperature was more strongly correlated with vegetation cover changes,while grazing intensity significantly altered vegetation patch structure and soil cover distribution.Specifically,in drier regions,high grazing intensity led to larger patches while,in wetter regions,it led to smaller patches(fragmentation).Shrubs,with their deeper roots and drought tolerance,were less preferred and more resistant to grazing in arid environments and thrived under grazing pressure in these arid conditions.Our results underscored the need for adaptive management strategies in grazing systems.Traditional approaches may require significant adjustments,as the efficacy of management hinges on the interplay of specific climatic conditions and the varied responses of vegetation.Furthermore,effective conservation efforts should prioritize the recognition and protection of shrubs given their critical contribution to ecosystem function and biodiversity.Ultimately,this research provides a valuable framework to understand the complex dynamics between grazing and vegetation in arid and semi-arid environments,highlighting that sustainable grazing practices should be tailored to account for both climatic variables and the unique characteristics of different plant communities. 展开更多
关键词 grazing intensity vegetation productivity piospheres shrub encroachment climate change Patagonian Steppe
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National assessment reveals widespread wind farm impacts on land surface temperature and vegetation in China 认领 引用
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作者 Ziyan Li Yan Li +8 位作者 Yingzuo Qin Laibao Liu Eviatar Bach Alona Armstrong Guoqing Li Mingquan Li Zheng Wang Yongqing Bai Zhengchao Chen 《Geography and Sustainability》 CSCD 2026年第3期202-212,共11页
The rapid development of wind energy in China since 2000 has raised concerns about its impacts on local climate and vegetation.Despite regional and local studies,a comprehensive national assessment is lacking.Here,we ... The rapid development of wind energy in China since 2000 has raised concerns about its impacts on local climate and vegetation.Despite regional and local studies,a comprehensive national assessment is lacking.Here,we analyzed the effects of 675 onshore wind farms,representing>90,000 identified wind turbines in China,on land surface temperature(LST)and vegetation using Moderate-resolution Imaging Spectroradiometer(MODIS)satellite data from 2003 to 2022.We found a daytime cooling effect of-0.05±0.48℃(mean±STD)and a nighttime warming effect of 0.06±0.28℃across all wind farms.The construction of wind farm infrastructure initially reduced peak normalized difference vegetation index(NDVI)by-0.006±0.036,and this adverse impact weakened over time(-0.004 after 7 years),indicating vegetation recovery.The wind farm impacts varied by land cover type.The nighttime warming was largest for barren lands(0.19℃),followed by croplands(0.10℃),grasslands(0.07℃),and forests(0.01℃).These differences contributed to increasing night warming from southern to northern China.The adverse vegetation impacts were largest for forests(-0.010),followed by grasslands(-0.008)and barren lands(-0.003),with croplands(0.001)being almost unaffected.Correlation analysis identified precipitation and mean LST as significant factors influencing spatial variations in nighttime LST impact,with greater vegetation decline reinforcing night warming.Our large-scale analysis provides comprehensive evidence of the heterogeneous environmental impacts of wind farms across China,informing the sustainable development of wind energy. 展开更多
关键词 Wind farm LST Vegetation Land cover NDVI Environmental impact
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Tree structural diversity mediates vegetation carbon storage in dry-hot valley savannas along an elevational gradient 认领 引用
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作者 Wan-Chen Li Qin Huang +7 位作者 Ru-Jing Yang Zhi-Yan Peng Qiong Cai Wen-Jing Fang Wen-Jun Liu Su-Hui Ma Ya-Jun Chen Zhi-Ming Zhang 《Plant Diversity》 SCIE CAS CSCD 2026年第2期399-408,共10页
Understanding the factors that drive distributional variation in terrestrial vegetation carbon pools(VCPs)is crucial for assessing the potential of carbon sequestration and mitigating climate change.Although previous ... Understanding the factors that drive distributional variation in terrestrial vegetation carbon pools(VCPs)is crucial for assessing the potential of carbon sequestration and mitigating climate change.Although previous studies have extensively examined elevational patterns of VCPs and their abiotic drivers,the biotic mechanisms that drive VCPs remain poorly understood,especially in savanna ecosystems.Characterized by a unique“tree-shrub-grass”plant composition,the savannas in the dry-hot valleys have high productivity and carbon storage capacity.In this study,we investigated VCP distribution and the factors that drive these distributions along an elevational gradient(400–1700 m)in the dry-hot valleys of Southwest China.We found no significant elevational pattern in the total VCP,whereas tree and shrub VCPs exhibited divergent distributional patterns.We also found that VCP distribution was more strongly affected by structural diversity than by species diversity,indicating that structural diversity mediates the relationship between species diversity and VCP distribution.These findings suggest that optimized spatial resource use enhances carbon storage.Notably,the total VCP was more influenced by tree structural diversity than by shrub structural diversity,highlighting the dominant role of trees in savanna carbon sequestration.Furthermore,elevation shaped the VCP patterns by regulating both soil and biotic factors.These findings provide valuable insights for carbon-oriented conservation and restoration practices in dryland ecosystems. 展开更多
关键词 Savanna Vegetation carbon pool Structural diversity Species diversity
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