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Divergent responses of vegetation productivity to soil moisture and vapor pressure deficit across China:Spatiotemporal patterns and climatic attribution
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作者 SHI Chengyue ZHOU Yuke +2 位作者 CUI Na NIU Lujia YAO Haijun 《Journal of Geographical Sciences》 2025年第7期1405-1431,共27页
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
关键词 soil moisture vapor pressure deficit gross primary productivity spatiotemporal patterns climatic attribution causal analysis
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Climate and Tourism: Generational Differences and Effects on Satisfaction
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作者 Nancy Hritz Alexia Franzidis James Herstine Doug Gamble 《Journal of Tourism and Hospitality Management》 2014年第5期198-211,共14页
Climate, weather, and its attributes such as temperature and number of rainy days are essential for the success of many tourism destinations. As climate scientists have determined that climate changes are inevitable, ... Climate, weather, and its attributes such as temperature and number of rainy days are essential for the success of many tourism destinations. As climate scientists have determined that climate changes are inevitable, tourism destinations need to determine how to best manage these changes and mitigate any negative consequences. In addition, the perceived weather and/or climate at a destination can have as much weight on an individual's travel experience as the actual weather. The purpose of this study was to examine climate attributes and their importance on a traveler's behavior and satisfaction. Two hundred and sixty four surveys were gathered in the Mediterranean regions of Europe in the summer of 2009. Regression analysis revealed that climate attributes play a role in a traveler's satisfaction with their choice of a destination, but the traveler does not feel that climate changes are affecting their destinations as a whole. Analysis of variance (ANOVA) determined generational age differences in importance of climate attributes and if climate changes are affecting destinations. Management considerations for destination planners are explored. 展开更多
关键词 climate change climate attributes traveler's behavior SATISFACTION generational age groups
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Climate change attribution of the 2021 Henan extreme precipitation: Impacts of convective organization 被引量:2
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作者 Han QIN Wei YUAN +5 位作者 Jun WANG Yang CHEN Panxi DAI Adam HSOBEL Zhiyong MENG Ji NIE 《Science China Earth Sciences》 SCIE EI CAS CSCD 2022年第10期1837-1846,共10页
In this study, we investigate the climate attribution of the 21·7 Henan extreme precipitation event. A conditional storyline attribution method is used, based on simulations of the event with a small-domain high-... In this study, we investigate the climate attribution of the 21·7 Henan extreme precipitation event. A conditional storyline attribution method is used, based on simulations of the event with a small-domain high-resolution cloud-resolving model. Large-scale vertical motion is determined by an interactive representation of large-scale dynamics based on the quasigeostrophic omega equation, with dynamical forcing terms taken from observation-based reanalysis data. It is found that warming may lead to significant intensification of both regional-scale(10–14% K, depending on convective organization) and station-scale precipitation extremes(7–9% K^(-1)). By comparing clustered convection organized by a localized surface temperature anomaly and squall-line convection organized by vertical wind shear, we further explored how convective organization may modify precipitation extremes and their responses to warming. It is found that shear convective organization is much more sensitive to large-scale dynamic forcing and results in much higher precipitation extremes at both regional and station scales than unorganized convection is. The clustered convection increases station-scale precipitation only slightly during heavy precipitation events. For regional-scale extreme precipitation sensitivity, shear-organized convection has a larger sensitivity by 2–3% Kthan that of unorganized convection, over a wide temperature range, due to its stronger diabatic heating feedback. For the station-scale extreme precipitation sensitivity, no systemic dependence on convective organization is found in our simulations. 展开更多
关键词 Extreme precipitation Global warming Climate change attribution Convective organization Hourly precipitation
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