Search Results (7)

Extreme drought intensifies the complexity of the water resource allocation system, and unreasonable water distribution exacerbates drought losses. Drought mitigation measures such as emergency water supply augmentation and water use compression incur additional costs or losses, thereby compromising the accuracy of water allocation outcomes. To address the insufficient consideration of the impacts of emergency water supply augmentation and water use compression measures under extreme drought conditions in current research, this study employs emergy theory to systematically identify and quantify the emergency water supply augmentation costs and water use compression losses. A dual-objective water resource allocation model was constructed under extreme drought conditions by taking the minimization of the sum of the emergency water supply augmentation costs and water use compression losses as the comprehensive loss objective, and the minimization of the total water scarcity as the water use guarantee objective. The model was subsequently transformed into a single-objective optimization problem for solution. The allocation model was applied to the typical severe drought scenario in Chuxiong Prefecture of Yunnan Province in 2011. The results demonstrate that the scheme implementing both measures reduced comprehensive losses by 4.97 × 10¹⁹ sej and total water shortage by 7.02 × 10⁶ m³ compared to the scheme excluding these measures. The water resource allocation model considering emergency water supply augmentation costs and water use compression losses can effectively mitigate the drought impact in the study area. Full article

Amanita exitialis is a lethal mushroom species found in southern China. Its amatoxins can cause acute liver injury with a high case-fatality rate. However, reports combining toxin detection in clinical specimens with autopsy pathology remain limited. We conducted a retrospective analysis of A. exitialis poisoning events treated at Chuxiong Yi Autonomous Prefecture People’s Hospital from 2019 to 2024. Toxins were measured in collected mushrooms, patient blood, and urine. Clinical data included demographics, complications, laboratory parameters, and autopsy findings. Associations between a time-weighted urinary amatoxin exposure metric and laboratory indices were assessed. Ten poisoning incidents involving 27 individuals were identified, including five deaths. We collected 10 mushroom samples, 120 urine samples, and 108 blood samples. α-amanitin, β-amanitin, phallacidin, and phallisacin were detected in mushrooms and urine. The detection rates of α-AMA, β-AMA, PCD, and PSC in urine samples were 31.67%, 5.00%, 38.33%, and 49.17%, respectively. Only three blood samples tested positive for α-AMA. The time-weighted urinary amatoxin exposure metric was positively correlated with total bilirubin (TBIL), aspartate aminotransferase (AST), alanine aminotransferase (ALT), blood urea nitrogen (BUN), creatinine (Cr), creatine kinase (CK), creatine kinase isoenzymes (CK-MB), prothrombin time (PT), activated partial thromboplastin time (APTT), and international normalized ratio (INR). Early symptoms included nausea, vomiting, diarrhea, abdominal pain, and distention; later findings involved injury to the liver, kidneys, intestines, heart, and lungs. On the fourth day following ingestion, there was a marked increase in bilirubin levels and a concurrent decrease in liver enzymes, indicating severe damage to the hepatocytes. Platelet count, white blood cell count, hemoglobin, and red blood cell count decreased over time. Autopsies demonstrated hepatic, renal, and myocardial injury, gastrointestinal mucosal exfoliation, and multiorgan hemorrhage. In summary, A. exitialis poisoning is primarily characterized by liver damage, accompanied by injuries to the kidneys, myocardium, and intestines, as well as multiorgan hemorrhaging, which may lead to blood toxicity. The detection rate of toxins in urine samples is relatively high, and early urine toxin testing can help clarify the diagnosis and guide treatment. Full article

Improving the precision of forest vegetation carbon stock estimation is essential for scientifically evaluating its economic value and ecological benefits. This study aims to investigate the impact of different estimation methods on carbon stock and its economic value. Taking the forest vegetation of the Zixi Mountain Nature Reserve as the research object, the carbon stock of the arbor layer was estimated using four approaches: the variable biomass expansion factor method, the biomass expansion factor method, the volume conversion method, and the continuous function method of the biomass conversion factor. The carbon stocks of economic forests and shrublands were estimated using the average biomass method. The economic value of forest carbon storage was then evaluated through the market value method and the optimal pricing approach for forest carbon sinks. The results revealed no significant differences among the four estimation methods. The estimated arbor forest carbon stocks were 692,548.39 tC, 672,599.83 tC, 673,161.07 tC, and 400,369.17 tC, respectively, with an overall average of 609,669.62 tC. The biomass expansion factor method and the volume conversion method produce the most consistent results. The corresponding relative errors were 13.59%, 10.32%, 10.41%, and −34.33%, respectively. The continuous function method of the biomass conversion factor exhibited the greatest variability, mainly due to the influence of Pinus yunnanensis parameters. Among all methods, the biomass expansion factor method yielded the smallest relative error, making it the most suitable for estimating arbor carbon stocks in the study area. The total average economic value of forest carbon storage in the region was estimated at CNY 58.09 million. Among all forest types, Pinus yunnanensis contributed the highest carbon value, totaling CNY 50.48 million. In terms of economic value per unit area, Pinus armandii ranked first, with CNY 11,418.92 per hectare. Among different age groups of arbor forests, middle-aged stands had the highest carbon sequestration value, reaching CNY 36.87 million. Across all functional zones, the core zone showed the greatest economic value at CNY 29.34 million. Enhancing forest resource protection to maximize both carbon sink capacity and economic returns, as well as promoting forest carbon trading, can bring additional economic benefits to Southwest China while contributing to the achievement of the national “dual carbon” goals. Full article

Rural tourism plays a crucial role in promoting industrial revitalization in mountainous regions. Drawing inspiration from the site selection mechanisms of nature reserves, this study constructs a gap analysis framework tailored to rural tourism destinations, aiming to provide technical support for their spatial layout and systematic planning. By integrating a potential evaluation system based on tourism resources, market demand, and synergistic factors, the study identifies rural tourism priority zones and proposes a development typology and spatial optimization strategy across five provinces in Southwest China. The findings reveal: (1) First- and second-priority zones are primarily located in the core and periphery of provincial capitals and prefecture-level cities, while third-priority zones are concentrated in resource-rich areas of Yunnan and Guizhou and market-oriented areas of Sichuan, Chongqing, and Guangxi. (2) The Chengdu Plain emerges as the core region for rural tourism development, with hotspots clustered around Chengdu, northern and western Guizhou, central Chongqing, eastern Guangxi, and northwestern Yunnan, whereas cold spots are mainly situated in the western Sichuan Plateau and the Leshan–Liangshan–Zhaotong–Panzhihua–Chuxiong–Pu’er belt. (3) The alignment between tourism resources and rural tourism destinations is highest in Yunnan and Guizhou, while Chongqing exhibits the strongest match between destinations and tourism market potential and synergistic development conditions. Overall, 79.35% of rural tourism destinations in the region are situated within identified priority zones, with Chongqing, Guizhou, and Sichuan exhibiting the highest proportions. Based on the spatial mismatch between potential and existing destinations, the study delineates four development types—maintenance and enhancement, supplementation and upgrading, expansion, and reserve development—and offers regionally tailored planning recommendations. The proposed framework provides a replicable approach for spatial planning of rural tourism destinations in complex mountainous settings. Full article

The central Yunnan urban agglomeration represents a typical urban cluster in the southwestern region of China. The swift urbanization and land use changes in this region pose a severe threat to the ecosystem. A thorough assessment of the landscape ecological risk in the central Yunnan urban agglomeration holds paramount importance for devising effective risk management strategies and sustainable, high-quality development plans. This study utilizes long-term land-use raster data for six time periods (1995, 2000, 2005, 2010, 2015, and 2020) in the Central Yunnan urban agglomeration. Using GIS technology, a landscape risk index model is constructed, and a comprehensive assessment of landscape ecological risks in the Central Yunnan urban agglomeration is conducted using the 5 km × 5 km grid analysis method and Kriging interpolation. The results indicate that, between 1995 and 2020, the Central Yunnan urban agglomeration was dominated by forest land, grassland, and cultivated land as the primary land-use types. Forest land covered over 48% of the total area, while grassland and cultivated land accounted for more than 26% and 18%, respectively. Notably, construction land underwent a significant increase, mainly due to conversions from cultivated land, forest land, and grassland. Over a span of 25 years, the study area has experienced a continual rise in landscape ecological risk. The landscape ecological risk was mainly characterized by medium, higher, and high ecological risk. Grassland predominated in areas with medium levels of ecological risk, while cultivated land and construction land were predominant in regions with higher and high levels of ecological risk. Spatially, regions with lower ecological risk were primarily distributed in the Chuxiong Yi Autonomous Prefecture, whereas areas with higher and high levels of ecological risk were concentrated in Qujing City and Kunming City. The spatial aggregation patterns of landscape ecological risk in the Central Yunnan urban agglomeration featured “high–high” (H–H) and “low–low” (L–L) clusters, both displaying an initial increase followed by a decrease. The primary factors contributing to the rise in the landscape ecological risk index were identified as urban expansion, population growth, ecological fragmentation, and vegetation destruction. The study’s outcomes can offer valuable insights for optimizing land resources and promoting sustainable development in the Central Yunnan urban agglomeration. Full article

Background: Although differences in the prevalence of alcohol-related harm between ethnic minority and majority groups have been reported in many countries, such data are scarce in China. The findings of such assessment can provide empirical data to inform stakeholders in prioritization and allocation of resources for programs to manage and control alcohol-related problems. The objective of this study is to compare the prevalence of alcohol-related harm from others among Han and Yi populations in the Chuxiong Yi Autonomous Prefecture, Yunnan Province, China. Method: We conducted a cross-sectional study in 1370 households from 21 villages. Enumerators used convenient sampling to recruit one person aged 18 years or older from each selected household, obtained informed consent to participate, and conducted an interview using a structured questionnaire. The questionnaire included three parts: (1) demographic characteristics of the participant (including ethnic identity); (2) history of alcohol-related harm from other in the past 12 months, and; (3) drinking behaviors. We analyzed data using descriptive statistics and multivariate regression analyses, stratified by sex of the participant. Results: The prevalence of experiencing alcohol-related harm from others in Han men, Yi men, Han females, and Yi females, were 69.9%, 62.1%, 75.3%, and 63.4%, respectively. The Han vs. Yi disparity was higher among females (Adjusted OR = 2.06; 95% CI = 1.41, 3.01) than males (Adjusted OR = 1.47; 95% CI = 1.05, 2.07). The most common type of harm was feeling scared or threatened (36.9% among males, 32.4% among females) and the least common type was financial difficulty (3% among males, and 3.3% among females). Conclusions: Yi ethnic minorities in Yunnan Province had lower prevalence of alcohol-related harm from others than Han persons in the same region. However, measurement and translation-related issues of the study instrument and limited generalizability should be considered as caveats in the interpretation of the study findings. Full article

The Green Peafowl (Pavo muticus) is vulnerable to anthropogenic pressures and has undergone an extensive decline through much of its range in Southeast Asia. However, little is known about the changing distribution of Green Peafowl in China through historical periods. We described a 5000–6000 years distribution change of Green Peafowl in China by using historical archives. We examined the present distributions of Green Peafowl by using camera traps and transect surveys and predicted the suitable habitat to support future conservation planning for this species. Although Green Peafowl was once widely distributed across China, the species experienced a southward range retreat over the past 5000–6000 years and is now restricted to a small part of Yunnan. The results of prediction from maximum entropy modeling (MaxEnt) showed that the size of suitable habitat of Green Peafowl in Yunnan was 17,132 km². The suitable habitat concentrated in nine prefectures of Yunnan and Pu’er, Chuxiong, and Yuxi accounted for 48.64%, 27.39% and 15.83%, respectively. These results suggest that central Yunnan can cover most of the current larger and more contiguous populations of Green Peafowl in China and should be protected. Moreover, some areas in southern Yunnan, such as Xishuangbanna, can be a candidate for reestablishing populations, given that the species disappeared in this region less than 20 years ago and has a large remaining habitat. Full article