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Nutrient enrichment driven by canopy rainfall redistribution:Mechanism,quantification,and pattern

Science China Earth Sciences 2024年第5期67卷 1529-1544页

作者： Chuan YUAN Xiaoping YUE Yafeng ZHANG Yu ZHANG Yanting HU Qiang TANG Li GUO Shuai WANG Xingwu DUAN Wenhua XIANG Xiaohua WEI Xiaoyan LI College of Forestry and Biotechnology Zhejiang A&F UniversityHangzhou 311300China chongqing jinfo mountain karst ecosystem national observation and research station School of Geographical SciencesSouthwest UniversityChongqing 400715China Shapotou Desert research and Experiment station Northwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhou 730000China School of Geographical Sciences Hebei Normal UniversityShijiazhuang 050024China Faculty of Life Science and Technology Central South University of Forestry and TechnologyChangsha 410004China State Key Laboratory of Hydraulics and mountain River Engineering College of Water Resource and HydropowerSichuan UniversityChengdu 610065China State Key Laboratory of Earth Surface Processes and Resource Ecology Faculty of Geographical ScienceBeijing Normal UniversityBeijing 100875China Yunnan Key Laboratory of Soil Erosion Prevention and Green Development Institute of International Rivers and Eco-securityYunnan UniversityKunming 650091China Department of Earth Environmental and Geographic SciencesUniversity of British Columbia(Okanagan)KelownaBritish Columbia V1V 1V7Canada

Vegetation canopies intercept and redistribute rainfall into throughfall and stemflow,which transfer substantial amounts of elements into the soil,influencing soil microbial community,plant survival,and plant community *** advancements in ecohydrological research,the implication of nutrient enrichment resulting from this redistribution of rainfall by canopies remains largely *** address this gap,we conducted a systematic review of 1020 papers published between 2000 and 2022,gathering data on nutrient concentration and enrichment for critical ions(including K^(+),Na^(+),Ca^(2+),Mg^(2+),NH_(4)^(+),Cl^(-),NO_(3)^(-)and SO_(4)^(2-))from the Web of Science and Chinese Knowledge Infrastructure *** aimed to synthesize the mechanisms,quantify the enrichments,and identify global patterns of nutrient enrichment in stemflow and throughfall across climate zones,and vegetation types and *** results of this study indicate that stemflow exhibits,on average,2.1times greater ion concentration(6.13 mg L^(-1))compared to *** particular,among the investigated ions,SO_(4)^(2-)(12.45and 6.32 mg L^(-1))for stemflow and throughfall,respectively,and Cl^(-)(9.21 and 4.81 mg L^(-1))exhibit the highest concentrations in both rainfall redistribution components,while K^(+)(13.7 and 5.8)and Mg^(2+)(5.6 and 2.8)have the highest enrichment *** climate zones,throughfall and stemflow show the lowest ion concentrations but the highest enrichment factors in extremely humid *** the temperature gradient,ion concentrations are the highest in cold climates with no clear patterns observed for enrichment factors with increasing *** addition,shrubs,conifers,mixed forests,and artificial ecosystems demonstrate enrichment factors 1.1 to 3.0 times greater than those of trees,broad-leaved plants,pure forests,and natural *** findings emphasize the need for increased attentions to artificial ecosystems,such as urban

关键词： Ecohydrology Rainfall redistribution Nutrients transport Enrichment characteristics Climate zones

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Comparing the performances of WRF QPF and PERSIANN-CCS QPEs in karst flood simulation and forecasting by coupling the karst-Liuxihe model

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Frontiers of Earth Science 2022年第2期16卷 381-400页

作者： Ji LI Daoxian YUAN Yuchuan SUN Jianhong LI chongqing jinfo mountain karst ecosystem national observation and research station School of Geographical SciencesSouthwest UniversityChongqing 400715China Key Laboratory of karst Dynamics(MNR&Guangxi)Institute of karst Geology CAGSGuilin 541004China

Long-term rainfall data are crucial for flood simulations and forecasting in karst ***,in karst areas,there is often a lack of suitable precipitation data available to build distributed hydrological models to forecast karst *** precipitation forecasts(QPFs)and estimates(QPEs)could provide rational methods to acquire the available precipitation data for karst ***,coupling a physically based hydrological model with QPFs and QPEs could greatly enhance the performance and extend the lead time of flood forecasting in karst *** study served two main *** purpose was to compare the performance of the Weather research and Forecasting(WRF)QPFs with that of the Precipitation Estimations through Remotely Sensed Information based on the Artificial Neural Network-Cloud Classification System(PERSIANN-CCS)QPEs in rainfall forecasting in karst river *** other purpose was to test the feasibility and effective application of karst flood simulation and forecasting by coupling the WRF and PERSIANN models with the karst-Liuxihe *** rainfall forecasting results showed that the precipitation distributions of the 2 weather models were very similar to the observed rainfall ***,the precipitation amounts forecasted by WRF QPF were larger than those measured by the rain gauges,while the quantities forecasted by the PERSIANN-CCS QPEs were smaller.A postprocessing algorithm was proposed in this paper to correct the rainfall estimates produced by the two weather *** flood simulations achieved based on the postprocessed WRF QPF and PERSIANN-CCS QPEs coupled with the karst-Liuxihe model were much improved over previous *** particular,coupling the postprocessed WRF QPF with the karst-Liuxihe model could greatly extend the lead time of flood forecasting,and a maximum lead time of 96 h is adequate for flood warnings and emergency responses,which is extremely important in flood simulations and forecasting.

关键词： WRF QPF PERSIANN-CCS QPEs the karst-Liuxihe model flood simulation and forecasting karst river basin

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A novel bibliometric and visual analysis of global geoscience research using landscape indices

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Frontiers of Earth Science 2022年第2期16卷 340-351页

作者： Xin AI Mingguo MA Xuemei WANG Honghai KUANG chongqing jinfo mountain karst ecosystem national observation and research station School of Geographical SciencesSouthwest UniversityChongqing 400715China Southwest University Library Southwest UniversityChongqing 400715China chongqing Engineering research Center for Remote Sensing Big Data Application Southwest UniversityChongqing 400715China

The landscape index is a quantitative index which reflects characteristics of structure composition and spatial pattern in landscape studies,it is,therefore,expected to describe the spatial pattern of scientific research in bibliometric *** this study,a novel attempt to regard scientific research as a kind of‘landscape’was made,and landscape indices were improved for bibliometric analysis to measure the spatial pattern of scientific *** illustrating the feasibility of our method,global geoscience research from 1994 to 2018 was presented as a ***,spatiotemporal migration of landscape centroids was *** results indicated that global geoscience publications increased steadily and articles were highly concentrated at the country *** top 10 countries published 69.93%of total articles and 84.68%of geoscience articles were from top 20 productive *** spatial migration of centroids was mainly reflected in the longitude because of significant increasing of articles in eastern countries,especially in China with the growth rate of 747.14%.At the patch scale,the change trend of improved landscape indices verified the spatiotemporal changes of global distribution of geoscience *** the landscape scale,the strengthening of global international collaboration is the main driving forces of spatial heterogeneity of global geoscience *** study is expected to help readers to understand global trends of geoscience research in the past 25 years,and to promote the development of bibliometric analysis towards the directions of spatialization and visualization.

关键词： geoscience landscape index visualization Geographical Information System bibliometric analysis

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The response of key ecosystem services to land use and climate change in chongqing:Time,space,and altitude

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Journal of Geographical Sciences 2022年第2期32卷 317-332页

作者： GAO Jie BIAN Hongyan ZHU Chongjing TANG Shuang chongqing jinfo mountain karst ecosystem national observation and research station School of Geographical SciencesSouthwest UniversityChongqing 400715China chongqing Key Laboratory of karst Environment School of Geographical SciencesSouthwest UniversityChongqing 400715China School of Geographical Sciences State Cultivation Base of Eco-agriculture for Southwest Mountainous LandChongqing 400715China

mountainous landscapes are particularly vulnerable and sensitive to climate change and human activities,and a clear understanding of how ecosystem services(ES)and their relationships continuously change over time,across space,and along altitude is therefore essential for ecosystem ***,a typical mountainous region,was selected to assess the long-term changes in its key ES and their *** 1992 to 2018,the temporal variation in water yield(WY)revealed that the maximum and minimum WYs occurred in 1998 and 2006,which coincided with El Ni?o-Southern Oscillation and severe drought events,*** export(SE)and WY were consistent with precipitation,which reached their highest values in *** this period,carbon storage(CS)and habitat quality(HQ)both decreased *** in chongqing showed large variations in ***,WY and SE decreased with increasing altitude,while CS and HQ *** spatial distribution,WY and SE showed positive trends in the west and negative trends in the *** regard to CS and HQ,negative trends dominated the *** tradeoffs between WY and soil conservation(SC)were found at all altitude *** strong synergies between CS and HQ were maintained over time.

关键词： ecosystem services InVEST model Mann-Kendall tradeoffs synergies mountainous region

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Feedback and contribution of vegetation, air temperature and precipitation to land surface temperature in the Yangtze River Basin considering statistical analysis

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International Journal of Digital Earth 2023年第1期16卷 2941-2961页

作者： Jinlian Liu Xinyao Zhou Hanya Tang Fengqin Yan Shiwei Liu Xuguang Tang Zhi Ding Ke Jiang Pujia Yu chongqing jinfo mountain karst ecosystem national observation and research station School of Geographical SciencesSouthwest UniversityChongqingPeople’s Republic of China State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijingPeople’s Republic of China chongqing Key Laboratory of karst Environment School of Geographical SciencesSouthwest UniversityChongqingPeople’s Republic of China

Land surface temperature(LST),especially day-night LST difference(LSTd-LSTn),is a key variable for the stability of terrestrial ecosystems,affected by vegetation and climate *** the contribution and feedback of vegetation and climate to LST changes is critical to developing mitigation *** on LST,Normalized vegetation index(NDVI),land use(LU),air temperature(AT)and precipitation(Pre)from 2003 to 2021,partial correlation was used to analyze the response of LST to vegetation and *** feedback and contribution of both to LST were further quantifed by using spatial linear relationships and partial derivatives *** results showed that both interannual LST(LSTy)and LSTd-LSTn responded negatively to vegetation,and vegetation had a negative feedback effect in areas with significantly *** was also a major contributor to the decline of *** the advantage of positive partial correlation area of 94.99%,AT became the main driving factor and contributor to LSTy change *** contributed negatively to both LSTy and LSTd-LSTn,with contributions of-0.004℃/y and-0.022℃/y,*** played a decisive role in LST warming of YRB,which was partially mitigated by vegetation and *** present research contributed'to,the,detection,of LST changes and improved understanding of the driving mechanism.

关键词： Land surface temperature vegetation dynamics climate change land use contribution feedback

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Future variation of land surface temperature in the Yangtze River Basinbasedon CMIP6 model

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International Journal of Digital Earth 2023年第1期16卷 2776-2796页

作者： Jinlian Liu Hanya Tang Fengqin Yan Shiwei Liu Xuguang Tang Zhi Ding Pujia Yu chongqing jinfo mountain karst ecosystem national observation and research station School of Geographical SciencesSouthwest UniversityChongqingPeople’s Republic of China State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijingPeople’s Republic of China chongqing Key Laboratory of karst Environment School of Geographical SciencesSouthwest UniversityChongqingPeople’s Republic of China

In recent years,past changes in global and regional land surface temperatures(LST)have been well studied,however,future LST changes have been largely ignored owing to data *** this study,three climate variables of CMIP6,namely air temperature(AT),precipitation(Pre),and leaf area index(LAl),were spatially corrected using the Delta downscaling *** this basis,by combining MODIS LST,elevation,slope and aspect,a random forest(RF)model was built to calculate the LST from 2022 to *** absolute variability(AV)and Mann-Kendall(M-K)tests were used to quantitatively detect interannual and seasonal LST changes in different Shared Socioeconomic Pathways(SSPs)*** results showed that the AV value increased successively from SSP1-2.6 to SSP2-4.5 and then to *** with the base period(2003-2021),the increment in interannual,spring,summer and autumn LST during 2022-2100 was mainly between 1 and 2°℃under *** interannual and seasonal LST were spatially characterized by significant warming over large areas,and the increasing was the fastest under *** results indicate that,in the future,LST will increase further over large areas,especially in winter.

关键词： Temporal and spatial changes Delta downscaling Random forest Global warming

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Differentiated effects of morphological and functional polycentricurban spatial structure on carbon emissions in China: an empiricalanalysis from remotely sensed nighttime light approach

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International Journal of Digital Earth 2023年第1期16卷 532-551页

作者： Yizhen Wu Kaifang Shi Yuanzheng Cui Shirao Liu Lili Liu Key Laboratory of Earth Surface Processes and Regional Response in the Yangtze-Huaihe River Basin Anhui ProvinceSchool of Geography and TourismAnhui Normal UniversityWuhuPeople’s Republic of China chongqing jinfo mountain karst ecosystem national observation and research station School of Geographical SciencesSouthwest UniversityChongqingPeople’s Republic of China College of Hydrology and Water Resources Hohai UniversityNanjingPeople’s Republic of China

Understanding the relationship between urban development and environmental sustainability to achieve‘double carbon’goals in China can be strengthened by evaluating the environmental effect of urban spatial structure(US).However,there have been few studies that consider the differentiated effects of polycentric US(PUS)on carbon emissions from both functional and morphological perspectives ***,taking China’s 31 provinces as experimental subjects,our study developed a novel framework with remotely sensed nighttime light(NTL)data to quantify morphological PUS(MPUS)and functional PUS(FPUS)from 2000 to ***,from these two dimensions,differentiated effects of PUS on carbon emissions were further *** indicated that NTL data presented high potential in quantifying MPUS and *** effect of FPUS on carbon emission-cutting outperformed that of *** addition,the spillover effect effectively enhanced the decreasing effect of the FPUS on carbon *** empiricalfindings can provide guidance for the government in developing strategies for reducing carbon emissions and optimizing USs.

关键词： Remotely sensed nighttime light polycentric urban spatial structure carbon emissions spillover effect

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Whether human-induced activities could change the gradient pattern of coastal land use along the sea-land direction:a case study in Manila Bay,Philippines

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Acta Oceanologica Sinica 2023年第2期42卷 163-174页

作者： Zhi Ding Fenzhen Su Yanan Chen Ying Liu Xue Feng Wenqiu Hu Fengqin Yan He Li Pujia Yu Xuguang Tang chongqing jinfo mountain karst ecosystem national observation and research station School of Geographical ScienceSouthwest UniversityChongqing400715China State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing100101ChinaState Key Laboratory of Resources and Environmental Information SystemInstitute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing100101China Key Laboratory of Reservoir Aquatic Environment Chongqing Institute of Green and Intelligent TechnologyChinese Academy of SciencesChongqing400714China

Increasing intense human activities have largely changed the coastal landscape and caused many environmental ***,whether human-induced activities could change the coastal land use gradient pattern,an important coastal zonal characteristic along the sea-land direction,remains *** Bay was selected as the study area in this *** to the distance of the land use and land cover(LULC)to the coastline,we clustered the typical coastal land use sequence patterns(CLUSPs)along the sea-land direction between 1988 and 2016 in Manila Bay and found the following.(1)Four typical CLUSPs,including the natural CLUSP dominated by forest land and grassland,the agricultural CLUSP dominated by dry farm and paddy field,the urbanised CLUSP dominated by construction land and the fishery CLUSP dominated by fishing farm,were mined in *** typical CLUSPs(a natural CLUSP,an intermediate CLUSP between the agricultural and urbanised CLUSPs,and a fishery CLUSP)were mined in 2016.(2)Affected by the dominant LULC,these typical CLUSPs showed a regular spatial pattern along the sea-land *** example,the typical natural CLUSP showed a landward pattern due to the long distance between the forest land and grassland and the coastline.(3)However,influenced by urban and aquaculture expansion,the land intensification of the CLUSP exhibited an obvious increase and caused the decrease of the CLUSP diversity from 1988 to *** increase in the area of LULC coverage showed no obvious correlation with its distance from the coastline(DFC),but the net increase rate of LULC coverage had a significant negative correlation with the ***,human-induced activities have a large impact on the gradient pattern of coastal land use along the sea-land direction.

关键词： coastal zone land use gradient sea-land human activities Manila Bay

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Changes in the ground surface temperature in permafrost regions along the Qinghaie-Tibet engineering corridor from 1900 to 2014:A modified assessment of CMIP6

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Advances in Climate Change research 2023年第1期14卷 85-96页

作者： Zan-Pin XING Lin ZHAO Lei FAN Guo-Jie HU De-Fu ZOU Chong WANG Shu-Ci LIU Er-Ji DU Yao XIAO Ren LI Guang-Yue LIU Yong-Ping QIAO Jian-Zong SHI Cryosphere research station on the QinghaieTibet Plateau State Key Laboratory of Cryospheric ScienceNorthwest Institute of Eco-Environment and ResourceChinese Academy of SciencesLanzhou 730000China University of Chinese Academy of Sciences Beijing 100049China School of Geographical Sciences Nanjing University of Information Science&TechnologyNanjing 210044China chongqing jinfo mountain karst ecosystem national observation and research station School of Geographical SciencesSouthwest UniversityChongqing 400715China Department of Environment and Science Queensland GovernmentBrisbaneQLD 4102Australia

Numerous studies were published in the last two decades to evaluate and project the permafrost changes in its thermal state,mainly based on the soil temperature datasets from the Coupled Model Intercomparison Project(CMIP),and discuss the impacts of permafrost changes on regional hydrological,ecological and climatic systems and even carbon ***,limited monitored soil temperature data are available to validate the CMIP outputs,resulting in the over-projection of future permafrost changes in CMIP3 and ***,future permafrost changes in CMIP6,particularly over the QinghaieTibet Plateau(QTP),where permafrost covers more than 40%of its territory,are still un*** address this gap,we evaluated and calibrated the monthly ground surface temperature(GST;5 cm below the ground surface),which was often used as the upper boundary to simulate and project permafrost changes derived from 19 CMIP6 Earth System Models(ESMs)against in situ measurements over the *** generated the monthly GST series from 1900 to 2014 for five sites based on the linear calibration models and validated them through the three other sites using the same calibration *** showed that all of the ESMs could capture the dynamics of in situ GST with high correlations(r>0.90).However,large errors were detected with a broad range of centred root-mean-square errors(1.14-4.98℃).The Top 5 model ensembles(MME5)performed better than most individual ESMs and averaged multi-model ensembles(MME19).The calibrated GST performed better than the GST obtained from *** annual and seasonal GSTs exhibited warming trends with an average annual rate of 0.04℃ per decade in the annual *** average seasonal warming rate was highest in winter and spring and lowest in *** reconstructed GST data series could be used to simulate the long-term permafrost temperature over the QTP.

关键词： Ground surface temperature CMIP6 Cold bias Permafrost Qinghaie-Tibet engineering corridor

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Cross-sectional rainfall observation on the central-western Tibetan Plateau in the warm season:System design and preliminary results

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Science China Earth Sciences 2023年第5期66卷 1015-1030页

作者： Kun YANG Yingying CHEN Lazhu Changhui ZHAN Xiaoyan LING Xu ZHOU Yaozhi JIANG Xiangnan YAO Hui LU Xiaogang MA Lin OUYANG Weihao PAN Yanghang REN Changkun SHAO Jiaxin TIAN Yan WANG Hua YANG Siyu YUE Ke ZHANG Dingchi ZHAO Long ZHAO Jianhong ZHOU Mijun ZOU Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System ScienceInstitute for Global Change StudiesTsinghua UniversityBeijing100084China national Tibetan Plateau Data Center State Key Laboratory of Tibetan Plateau Earth System and Resource EnvironmentInstitute of Tibetan Plateau ResearchChinese Academy of SciencesBeijing100101China research Center for Ecology College of ScienceTibet UniversityLhasa850011China Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Science and Natural Resources ResearchChinese Academy of SciencesBeijing100101China chongqing jinfo mountain karst ecosystem national observation and research station School of Geographical SciencesSouthwest UniversityChongqing400715China

The central and western Tibetan Plateau(CWTP)is characterized by harsh environment and strong interactions among the spheres of earth as well as significant changes in climate and water cycles over the past four *** lack of precipitation observations is a bottleneck for the study of land surface processes in this *** the past six years,we have designed and established two observation transects across the south-north and the west-east in this region to obtain hourly rainfall data during the warm season(May-September).The south-north transect extends from Yadong Valley on the southern slope of the Himalayas to Shuanghu County in the hinterland of the plateau,with a total of 31stations;the west-east transect extends from Shiquanhe in the west to Naqu in the central TP,with a total of 22 *** observation dataset has been applied to clarify the spatiotemporal characteristics of precipitation in the CWTP,to evaluate the quality of typical gridded precipitation products,to support the development of regional climate models,and to reveal the processes of summertime lake-air *** observation dataset has been released in the national Tibetan Plateau Data Center.

关键词： Central and western Tibetan Plateau Rainfall observation transects observation uncertainty Spatiotemporal characteristics of precipitation Precipitation data evaluation

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