作者机构：
Institute of Land Engineering and Technology, Shaanxi Provincial Land Engineering Construction Group Co., Ltd, Xi’an, China;Shaanxi Agricultural Development Group Co., Ltd, Shaanxi Engineering Research Center of Land Consolidation, Xi’an, China;[Ling Han] College of Land Engineering, Chang’an University, Xi’an, China;[Juan Liao] College of Geography and Tourism, Hengyang Normal University, Hengyang, China;[Kun Wang] Institute of Land Engineering and Technology, Shaanxi Provincial Land Engineering Construction Group Co., Ltd, Xi’an, China<&wdkj&>Shaanxi Agricultural Development Group Co., Ltd, Shaanxi Engineering Research Center of Land Consolidation, Xi’an, China
通讯机构：
[Juan Liao] C;College of Geography and Tourism, Hengyang Normal University, Hengyang, 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°, 25.7°, and 13.8°; 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.
期刊：
Review of Development Economics,2025年 ISSN：1363-6669
通讯作者：
Bo Zhang
作者机构：
School of Geography and Remote Sensing, Guangzhou University, Guangzhou, China;Guangdong Provincial Center for Urban and Migration Studies, Guangzhou, China;[Yuan Chen] School of Economics, Jinan University, Guangzhou, China;Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China;[Yang Jiang] College of Geography and Tourism, Hengyang Normal University, Hengyang, China
通讯机构：
[Bo Zhang] S;School of Geography and Remote Sensing, Guangzhou University, Guangzhou, China<&wdkj&>Guangdong Provincial Center for Urban and Migration Studies, Guangzhou, China<&wdkj&>Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 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.
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.
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.
摘要：
The accurate estimation of forest aboveground biomass is of great significance for forest management and carbon balance monitoring. Remote sensing instruments have been widely applied in forest parameters inversion with wide coverage and high spatiotemporal resolution. In this paper, the capability of different remote-sensed imagery was investigated, including multispectral images (GaoFen-6, Sentinel-2 and Landsat-8) and various SAR (Synthetic Aperture Radar) data (GaoFen-3, Sentinel-1, ALOS-2), in aboveground forest biomass estimation. In particular, based on the forest inventory data of Hangzhou in China, the Random Forest (RF), Convolutional Neural Network (CNN) and Convolutional Neural Networks Long Short-Term Memory Networks (CNN-LSTM) algorithms were deployed to construct the forest biomass estimation models, respectively. The estimate accuracies were evaluated under the different configurations of images and methods. The results show that for the SAR data, ALOS-2 has a higher biomass estimation accuracy than the GaoFen-3 and Sentinel-1. Moreover, the GaoFen-6 data is slightly worse than Sentinel-2 and Landsat-8 optical data in biomass estimation. In contrast with the single source, integrating multisource data can effectively enhance accuracy, with improvements ranging from 5% to 10%. The CNN-LSTM generally performs better than CNN and RF, regardless of the data used. The combination of CNN-LSTM and multisource data provided the best results in this case and can achieve the maximum R2 value of up to 0.74. It was found that the majority of the biomass values in the study area in 2018 ranged from 60 to 90 Mg/ha, with an average value of 64.20 Mg/ha.
关键词：
传统村落旅游，,乡村振兴，,动力机制，,张谷英村Traditional Village Tourism,Rural Revitalization,Dynamic Mechanism,Zhangguying Village
摘要：
Abstract: With the rapid development of China’s economy and society, traditional village tourism has become an important way to promote rural revitalization. Taking the first batch of traditional Chinese villages in Zhangguying Village, Yueyang County as an example, based on literature analysis and questionnaire survey, the current situation of tourism development in Zhangguying Village is analyzed. Then, the relationship between rural tourism development and rural revitalization is analyzed from the perspective of tourism development promoting rural industry development, increasing farmers’ income, and inheriting local culture. Finally, the driving mechanism of traditional village tourism promoting rural revitalization is analyzed from both internal and external aspects, Finally, relevant countermeasures and suggestions are proposed for the tourism development of Zhangguying Village to promote local rural revitalization.
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.
