通讯机构：
[Zhang, B ] G;Guangzhou Univ, Sch Geog & Remote Sensing, Guangzhou, Peoples R China.;Guangdong Prov Ctr Urban & Migrat Studies, Guangzhou, Peoples R China.;Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai, Peoples R China.
关键词：
environmental regulation;fiscal efficiency;GTFP;high-quality development;multi-source data;spatial panel data model
摘要：
This research aims to investigate whether fiscal efficiency promotes green total factor productivity (GTFP) in China. To this end, we used multi-source data and adopted productivity index approaches to measure GTFP and fiscal efficiency scores of 284 Chinese cities and then applied a spatial econometric model to examine the impact of fiscal efficiency on GTFP. The main findings of this study are as follows: (1) Overall GTFP scores showed an N-shaped trend during the sample period. Specifically, they first rose, then decreased, and finally went up. (2) The dynamic average fiscal efficiency scores of Chinese cities exhibited an upward trend with fluctuations. The spatial distribution of the fiscal efficiency scores of 284 cities showed that overall the eastern and central cities had the highest scores, followed by the western and northeastern cities. (3) The results of the spatial lag panel data model revealed that the spatially lagged term of GTFP was significantly positive, indicating that spatial spillovers of GTFP could not be ignored. Otherwise, it may lead to biased conclusions. It implies that improvements in the GTFP of neighboring cities contribute to promoting the GTFP growth of the own city. Moreover, the impact of fiscal efficiency on GTFP was verified to be significant and positive, indicating that fiscal efficiency improvement could significantly promote China's high-quality development measured by GTFP. In addition, increases in urbanization level, economic level, education level, industrial structure, and innovation level had positive effects on GTFP, while there was a U-shaped relationship between environmental regulation and GTFP. Last, several tailored policy recommendations were proposed.
作者机构：
[Wang, Kun] Shaanxi Prov Land Engn Construct Grp Co Ltd, Inst Land Engn & Technol, Xian, Peoples R China.;[Wang, Kun] Shaanxi Agr Dev Grp Co Ltd, Shaanxi Engn Res Ctr Land Consolidat, Xian, Peoples R China.;[Han, Ling] Changan Univ, Coll Land Engn, Xian, Peoples R China.;[Liao, Juan; Liao, J] Hengyang Normal Univ, Coll Geog & Tourism, 165 Huangbai Rd, Hengyang, Hunan, Peoples R China.
通讯机构：
[Liao, J ] H;Hengyang Normal Univ, Coll Geog & Tourism, 165 Huangbai Rd, Hengyang, Hunan, Peoples R China.
摘要：
Karst is a unique landform that is widely distributed across the globe and holds significant importance for both the ecological environment and ecosystem. This paper focuses on a typical karst area in Guizhou Province, China, to investigate the threshold of key factors contributing to rocky desertification through quantitative analysis. Utilising the Logistic regression model, the thresholds of these key factors in the evolution of rocky desertification within the study area were successfully calculated and categorised. The findings indicate that vegetation cover thresholds are 35.6%, 52.5%, and 76.6%; slope thresholds are 35 degrees, 25.7 degrees, and 13.8 degrees; land reclamation rates are 0.85, 0.65, and 0.45; and artificial disturbance indices are 0.95, 0.65, and 0.55. These results correspond to three categories: mild threshold, moderate threshold, and intense threshold, which quantify the degree of rocky desertification evolution in karst areas.
摘要：
Stroke is a leading cause of premature death worldwide. Spatial-temporal characteristics are important for evidence-based stroke care planning and resource allocation. However, long-term global variations of stroke are still lacking. To identify the characteristics of the global spatial distribution of age-standardized mortality rate (ASMR) due to stroke during 2000–2021, thereby informing the efficient allocation of global health care resources. Based on age-standardized mortality rate (ASMR) due to stroke from the Global Health Estimates database, we analyzed stroke variation from 2000 to 2021 in 183 countries worldwide using Moran’s I, Getis-Ord Gi*, and Standard Deviation Ellipse. We stratified the 183 countries into different income groups according to World Bank classification to identify the socioeconomic influence on stroke mortality. The result showed that ① From 2000 to 2021, the number of stroke deaths increased worldwide, but the AMSR due to stroke showed a downward trend; ② The spatial distribution of the global AMSR due to stroke varies across geographic regions. with the highest in Asia and southern Africa, and the lowest in Europe and North America; ③ The spatial pattern of hot and cold spots of AMSR due to stroke remained relatively stable from 2000 to 2021, with the greatest changes in Africa and Asia; ④ Generally, countries belong to higher economic groups have lower stroke mortality rate, and this pattern persisted throughout the study period. Our findings provide evidence on spatial variations of stroke mortality worldwide over 20 years, and are informative on evidence-based allocation of medical resources globally. Not applicable.
期刊：
FRONTIERS IN EARTH SCIENCE,2025年13:1603597 ISSN：2296-6463
作者机构：
[Qiao, Hengzhong; Liu, Miao; Dai, Chencheng] Leshan Normal University, Leshan, Sichuan, China;[Wu, Shangjing] College of Geography and Tourism, Hengyang Normal University, Hengyang Hunan, China
关键词：
Shear zone;Mylonite;U-Pb geochronology;Orosirian;Khondalite Belt;North China Craton
摘要：
A series of NE- to E-trending ductile shear zones are widely distributed in the Khondalite Belt, a Paleoproterozoic collisional orogen in the North China Craton. Available geochronological investigations have been mainly focused on metamorphic and magmatic events in the Khondalite Belt, but the deformation age of ductile shear zones remains poorly constrained. In this paper, we conducted field-based structural and U-Pb geochronological studies on the Helanshan ductile shear zones (HDSZ) and Qianlishan ductile shear zones (QDSZ) in the western Khondalite Belt. The results revealed that four pre-kinematic intrusions were reworked by the shear zones and yielded monazite U-Pb ages of 1954 ± 3 Ma, 1942 ± 10 Ma, 1925 ± 5 Ma and 1918 ± 4 Ma, suggesting that the HDSZ and QDSZ probably appeared at some time after ~1918 Ma. In the HDSZ, a granitic mylonite gave titanite and apatite U-Pb ages of 1897 ± 32 Ma and 1866 ± 47 Ma. Similar apatite U-Pb ages of 1860 ± 78 Ma and 1823 ± 50 Ma were also reported from another two mylonitized rocks. Comparably, three mylonites from the QDSZ displayed apatite ages of 1878 ± 39 Ma, 1805 ± 16 Ma and 1801 ± 10 Ma. Notably, these titanite and apatite U-Pb ages of 1897–1801 Ma are in good agreement with those of 1904–1823 Ma obtained from zircon overgrowth rims in mylonites. We regard that the above-stated U-Pb ages of 1904–1801 Ma together recorded the timing of the shear zone activity in the western Khondalite Belt. Combined with previous structural and geochronological data, we propose that the post-collisional orogen-parallel ductile shear zones in the Khondalite Belt have developed at ca. 1.90–1.80 Ga.
通讯机构：
[Liu, N ; Zhang, CC ] H;Hengyang Normal Univ, Coll Geog & Tourism, Hengyang 421002, Peoples R China.;Hunan Normal Univ, Coll Geog Sci, Changsha 410081, Peoples R China.
关键词：
Water use strategy;Water stable isotopes;Sap flow;Seasonal drought;Soil moisture
摘要：
Aims The projected increase in drought intensity and frequency due to climate change is expected to exert sustained pressure on forest survival and growth in southern China. However, it remains unclear how plants adjust their water-use strategies and competitive mechanisms in response to water scarcity, as well as the effectiveness of these adaptations in mitigating drought-induced physiological stress. Methods In this study, we used water stable isotopes and sap flow measurements to evaluate the adjustment of water-use patterns and interspecific interactions in response to seasonal drought for two widespread species, Cinnamomum camphora and Ligustrum lucidum, in a subtropical secondary forest. The contribution of water from different soil depths was estimated using a Bayesian isotope mixing model. Results Both target species exhibited reduced sensitivity to atmospheric water demand and decreased water uptake from topsoil during drought. Although the two species showed temporary hydrological niche segregation and extracted more water from deep soil water to varying extent during drought, the water stress on plant transpiration was not effectively alleviated This is likely related to the fine root vertical distribution and intense local soil hydrological conditions. Conclusion Our results underscore the drought sensitivity and vulnerability of C. camphora and L. lucidum and the pressure of water resources induced by unique local environment conditions in subtropical secondary forests. These findings provide valuable insights into future forest management and species selection in plantation restoration efforts.
作者机构：
[Hu, Yong; Fu, Jing; Su, Baoling] Hengyang Normal Univ, Coll Geog & Tourism, Hengyang 421002, Peoples R China.;[Qin, Jianxin; Fu, Jing] Hunan Normal Univ, Hunan Key Lab Geospatial Big Data Min & Applicat, Changsha, Peoples R China.;[Fu, Jing] Int Ctr Space Technol Nat & Cultural Heritage HIST, Hengyang Base, Hengyang, Peoples R China.
通讯机构：
[Fu, J ] H;Hengyang Normal Univ, Coll Geog & Tourism, Hengyang 421002, Peoples R China.
关键词：
NDVI time series;spatiotemporal variability;multiple determinants;V-statistic;sustainability
摘要：
SDG15 emphasizes the criticality of ecosystem sustainability. The interplay between vegetation and the environment plays a crucial role in maintaining ecological equilibrium. The Mid-Spine Belt of Beautiful China (MSBBC), a novel geographical designation, encompasses agro-pastoral production and living spaces in China. However, vegetation dynamics in the area remain incompletely characterized. Therefore, this study investigated spatiotemporal variations of NDVI in MSBBC from 2000 to 2022, introducing the V -statistic to simulate durations of future vegetation trends. Since 2000, a majority of the MSBBC has experienced vegetation improvement, with significant enhancement observed in 77.34% of the area. This trend is primarily driven by increased precipitation and wind speed under climate warming, coupled with increased afforestation efforts and reduced livestock populations. Conversely, areas presenting significant vegetation degradation account for only 1.07% of the total, mainly due to urbanization and economic progress, partially explained by decreased sunshine duration and relative humidity. Evidently, China’s long-standing commitment to environmental preservation and ecological restoration has greatly mitigated degradation. Importantly, vegetation greening is projected to stagnate over the next decade. These findings deepen our understanding of ecosystem enhancement influenced by climatic and anthropogenic factors and provide a valuable reference for devising innovative approaches to remote sensing time series predictions.
期刊：
Journal of Hydrology: Regional Studies,2025年57:102131 ISSN：2214-5818
通讯作者：
Mao, DH
作者机构：
[Mao, Dehua; Wang, Ting; Zhang, Jingya; Zou, Yang; Deng, Meirong] Hunan Normal Univ, Sch Geog Sci, Changsha 410081, Peoples R China.;[Mao, Dehua; Zhang, Jingya; Deng, Meirong] Hunan Prov Key Lab Ecoenvironm Changes & Carbon Se, Changsha 410081, Peoples R China.;[Feng, Chang; Deng, Meirong] Hengyang Normal Univ, Coll Geog & Tourism, Hengyang 421002, Peoples R China.;[Hu, Guangwei] Dali Univ, Econ Res Inst, Sch Econ & Management, Dali 671003, Peoples R China.
通讯机构：
[Mao, DH ] H;Hunan Normal Univ, Sch Geog Sci, Changsha 410081, Peoples R China.
关键词：
Climate change;Flood non-stationarity;GAMLSS;Human activities;Physically-based covariates;Yuan River Basin
摘要：
Study region Yuan River Basin in China.
Yuan River Basin in China.
Study focus This study aims to identify temporal variations and non-stationarity in the annual maximum Peak Flow (PF) and Peak Water Level (PWL) series, along with their occurrence dates and intervals series at three stations (Anjiang, Pushi, and Taoyuan). Temporal variations were detected and non-stationary models were developed by incorporating physically-based covariates under climate change and human activities using the Mann-Kendall test, Pettitt test, and the Generalized Additive Models for Location, Scale, and Shape (GAMLSS) framework.
This study aims to identify temporal variations and non-stationarity in the annual maximum Peak Flow (PF) and Peak Water Level (PWL) series, along with their occurrence dates and intervals series at three stations (Anjiang, Pushi, and Taoyuan). Temporal variations were detected and non-stationary models were developed by incorporating physically-based covariates under climate change and human activities using the Mann-Kendall test, Pettitt test, and the Generalized Additive Models for Location, Scale, and Shape (GAMLSS) framework.
New hydrological insights for the region (1) The intervals between Pushi and Taoyuan stations for both PF and PWL series have significantly shortened over the past 40 years, while the Taoyuan station showed no significant upward trend over the past 70 years. (2) Covariates associated with precipitation, Normalized Difference Vegetation Index (NDVI), Reservoir Index, and Impervious Area (IA) showed a significantly increased trend within the basin, particularly the annual maximum daily precipitation (P 1 ) at the Pushi station. (3) The non-stationary models performed best when incorporating either the 7-day or 15-day accumulated antecedent precipitation before the flood occurrence date for the flood extremes series, while the inclusion of the IA and mean NDVI three months before the flood occurrence month provided superior fitting for the occurrence dates series. (4) The variability of P 1 , 3-day accumulated precipitation and their overlap with 7-day and 15-day accumulated precipitation were most likely key factors in triggering typical flood extremes.
(1) The intervals between Pushi and Taoyuan stations for both PF and PWL series have significantly shortened over the past 40 years, while the Taoyuan station showed no significant upward trend over the past 70 years. (2) Covariates associated with precipitation, Normalized Difference Vegetation Index (NDVI), Reservoir Index, and Impervious Area (IA) showed a significantly increased trend within the basin, particularly the annual maximum daily precipitation (P 1 ) at the Pushi station. (3) The non-stationary models performed best when incorporating either the 7-day or 15-day accumulated antecedent precipitation before the flood occurrence date for the flood extremes series, while the inclusion of the IA and mean NDVI three months before the flood occurrence month provided superior fitting for the occurrence dates series. (4) The variability of P 1 , 3-day accumulated precipitation and their overlap with 7-day and 15-day accumulated precipitation were most likely key factors in triggering typical flood extremes.
作者机构：
[Quan, Bin; Zhu, Yasi] Hengyang Normal Univ, Coll Geog & Tourism, Hengyang 421002, Peoples R China.;[Quan, Bin] Int Ctr Space Technol Nat & Cultural Heritage Ausp, Hengyang Base, Hengyang 421002, Peoples R China.
通讯机构：
[Quan, B ] H;Hengyang Normal Univ, Coll Geog & Tourism, Hengyang 421002, Peoples R China.;Int Ctr Space Technol Nat & Cultural Heritage Ausp, Hengyang Base, Hengyang 421002, Peoples R China.
关键词：
land use and cover change;intensity analysis;InVEST model;carbon storage;PLUS model;the central Shanxi urban agglomeration
摘要：
Land use and cover change (LUCC) profoundly impacts the carbon cycle and carbon storage. Under the goal of “carbon neutrality”, studying the mechanisms linking LUCC with terrestrial ecosystem carbon storage is of significant importance for ecological protection and regional development. Using the central Shanxi urban agglomeration as a case study, this research employs various quantitative models based on land cover data to analyze changes in LUCC and carbon storage from 2000 to 2035. The study scientifically explores the impact of the spatial and temporal distribution characteristics of LUCC on carbon storage. The study indicates the following: (1) Over the past 20 years, the land types in the central Shanxi urban agglomeration are primarily grassland, cropland, and forest land. The two primary land transformations are the conversion of cropland to grassland and the conversion of grassland to cropland and forest land; (2) The carbon storage in the study area has shown a declining trend over the past two decades. Spatially, this decline exhibits a “two mountains and one valley” distribution pattern influenced by land use types. The reduction of grassland and cropland is the primary reason for the decline in carbon storage; (3) By 2035, under three different scenarios, carbon storage is projected to decrease compared to 2020. Among these, the scenario focused on cropland protection (CP) shows the least decline, while the naturally developing scenario (ND) shows the most significant decline. The research demonstrates that under scenarios of cropland protection and ecological conservation, strategies such as environmental restoration, development of unused land, and reclamation of built-up land for greening significantly enhance regional carbon storage and improve carbon sequestration capacity.
期刊：
International Journal of Geographical Information Science,2025年39(2):326-345 ISSN：1365-8816
通讯作者：
Yan, JB
作者机构：
[Yan, Jinbiao] Hengyang Normal Univ, Coll Geog & Tourism, Hengyang, Peoples R China.;[Yan, Jinbiao] Hengyang Normal Univ, Natl Local Joint Engn Lab Digital Preservat & Inno, Hengyang, Peoples R China.;[Wu, Bo] Jiangxi Normal Univ, Sch Geog & Environm, Nanchang, Peoples R China.;[Zheng, He] Jiangxi Coll Appl Technol, Sch Geomat & Geoinformat, Ganzhou, Peoples R China.
通讯机构：
[Yan, JB ] H;Hengyang Normal Univ, Coll Geog & Tourism, Hengyang, Peoples R China.;Hengyang Normal Univ, Natl Local Joint Engn Lab Digital Preservat & Inno, Hengyang, Peoples R China.
关键词：
Multiscale geographically weighted regression;genetic algorithm;scales optimization;signal-noise ratio
摘要：
Scale in multiscale geographically weighted regression (MGWR) directly impacts the accuracy of coefficient estimates and shapes the comprehensive evaluation of the intensity of spatially non-stationary relationships. Presently, MGWR primarily utilizes back-fitting for sequentially optimizing multiple scales (MGWR-BF). However, the set of individual optima obtained through sequential optimization may not necessarily represent the global optimum. To address this issue, this paper proposes a multi-scale cooperative optimization within MGWR (MGWR-GA) model. Specifically, MGWR-GA employs a genetic algorithm to simultaneously input potential scale combinations, each comprising P scales. Subsequently, it introduces a dedicated overall estimation algorithm designed for these P scales, ultimately determining the optimal scale combinations based on the AICc. Simulation experiments have shown that, at least for global stationarity, the scales obtained by MGWR-GA approximate the true values across twelve different test environments. Additionally, the coefficient estimation bias of MGWR-GA is lower than that of MGWR-BF, especially in low signal-to-noise ratio settings. Empirical experiments further confirm the effectiveness of MGWR-GA in identifying both globally stationary and locally non-stationary scales. Furthermore, MGWR-GA outperforms MGWR-BF in terms of goodness-of-fit, adjusted goodness-of-fit, AICc and spatial autocorrelation of residuals. These findings indicate that MGWR-GA can serve as a valuable tool for modeling spatially non-stationary relationships.
期刊：
International Journal of Ecology,2024年13(04):538-549 ISSN：1687-9708
通讯作者：
何郅莹
作者机构：
[刘天曌; 何郅莹] 衡阳师范学院地理与旅游学院，湖南 衡阳
通讯机构：
[何郅莹] ;衡阳师范学院地理与旅游学院，湖南 衡阳
关键词：
传统村落，,保护利用，,乡村振兴战略，,路径选择，,板梁古村Traditional Village,Protection and Utilization,Rural Revitalization Strategy,Path Selection,Banliang Village
摘要：
Abstract: The process of urbanization has brought many challenges to traditional villages. The implementation of rural revitalization strategy has brought new development ideas to the protection and utilization of traditional villages. As the most representative traditional village in southern Hunan, Banliang Ancient Village has high research value. In order to better carry out the protection and utilization of Banliang Ancient Village and find the way to sustainable development, this paper, on the basis of consulting a large amount of literature, going into the field to conduct field visits and questionnaire surveys, analyzes the current situation of the protection and utilization of Banliang Ancient Village in Yongxing County, Hunan Province, as well as a series of problems. Guided by the rural revitalization strategy, it puts forward five paths: the combination of “government-led” and “villagers’ independent development”, the combination of “leisure and entertainment” and “agricultural experience”, attaching importance to the development of tourism products, strengthening the combination of scenic spots, and strengthening infrastructure construction and legal construction. It is hoped that this study can promote further advancement and improvement in the protection and utilization of traditional villages in Chenzhou City.
作者机构：
[Wu, Shangjing] Hengyang Normal Univ, Coll Geog & Tourism, Hengyang 421002, Peoples R China.;[Zhang, Yanling; Qian, Jiahui; Xia, Yanfei; Wang, Xiaoman; Yin, Changqing] Sun Yat Sen Univ, Sch Earth Sci & Engn, Guangzhou 510275, Peoples R China.;[Zhang, Yanling; Qian, Jiahui; Xia, Yanfei; Wang, Xiaoman; Yin, Changqing] Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai 519082, Peoples R China.;[Qiao, Hengzhong] Leshan Normal Univ, Coll Tourism & Geog Sci, Leshan 614000, Peoples R China.
通讯机构：
[Wu, SJ ] H;Hengyang Normal Univ, Coll Geog & Tourism, Hengyang 421002, Peoples R China.
关键词：
Pelitic granulite;Ultrahigh-temperature metamorphism;Phase equilibrium modelling;Zircon-monazite geochronology;Khondalite Belt
摘要：
Identifying ultrahigh-temperature (UHT) metamorphism in granulite-facies metamorphic terrains and determining its pressure-temperature-time (P-T-t) paths are crucial steps toward elucidating the anomalously hot geodynamic evolution process. This study presents the inaugural identification of chloritized sapphirine-bearing granulites in the Helanshan Complex, located in the western segment of the Khondalite Belt, North China Craton. Three stages of metamorphic evolution were identified based on petrographic analyses, mineral chemistry, and phase equilibrium modelling: the pre-Tmax stage involves the presence of rutile-stable phase assemblage, wherein rutile is partially substituted by ilmenite; the Tmax stage involves the assemblage of garnet + plagioclase + K-feldspar + sillimanite + spinel ± sapphirine + quartz + ilmenite + melt, as evidenced by microscale (<5 μm) blebs of variably chloritized sapphirine within spinel; and the retrograde cooling stage features the solidus assemblage of garnet + plagioclase + biotite + K-feldspar + sillimanite + cordierite + quartz + ilmenite + melt. Phase equilibrium modelling indicates Tmax conditions of 958–1055 °C and 6.4–7.8 kbar, suggesting UHT conditions accompanied by a high geothermal gradient of approximately 150 °C/kbar. Furthermore, a clockwise P-T trajectory was established, involving pre-Tmax decompression and post-Tmax near-isobaric cooling. Laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) zircon and monazite U-Pb dating of UHT pelitic granulites produced ages clustering around 1.91 Ga, marking the era of UHT metamorphism within the Helanshan Complex. This discovery broadens the scope of UHT metamorphism and indicates that the entire Khondalite Belt experienced a regional UHT metamorphic event during 1.93–1.91 Ga, which was likely induced by an initial radiogenic heating synergy followed by an augmented mantle heat flux.
Identifying ultrahigh-temperature (UHT) metamorphism in granulite-facies metamorphic terrains and determining its pressure-temperature-time (P-T-t) paths are crucial steps toward elucidating the anomalously hot geodynamic evolution process. This study presents the inaugural identification of chloritized sapphirine-bearing granulites in the Helanshan Complex, located in the western segment of the Khondalite Belt, North China Craton. Three stages of metamorphic evolution were identified based on petrographic analyses, mineral chemistry, and phase equilibrium modelling: the pre-Tmax stage involves the presence of rutile-stable phase assemblage, wherein rutile is partially substituted by ilmenite; the Tmax stage involves the assemblage of garnet + plagioclase + K-feldspar + sillimanite + spinel ± sapphirine + quartz + ilmenite + melt, as evidenced by microscale (<5 μm) blebs of variably chloritized sapphirine within spinel; and the retrograde cooling stage features the solidus assemblage of garnet + plagioclase + biotite + K-feldspar + sillimanite + cordierite + quartz + ilmenite + melt. Phase equilibrium modelling indicates Tmax conditions of 958–1055 °C and 6.4–7.8 kbar, suggesting UHT conditions accompanied by a high geothermal gradient of approximately 150 °C/kbar. Furthermore, a clockwise P-T trajectory was established, involving pre-Tmax decompression and post-Tmax near-isobaric cooling. Laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) zircon and monazite U-Pb dating of UHT pelitic granulites produced ages clustering around 1.91 Ga, marking the era of UHT metamorphism within the Helanshan Complex. This discovery broadens the scope of UHT metamorphism and indicates that the entire Khondalite Belt experienced a regional UHT metamorphic event during 1.93–1.91 Ga, which was likely induced by an initial radiogenic heating synergy followed by an augmented mantle heat flux.
