China has complex natural conditions and is rich in biodiversity. Based on the geographical distribution and species composition of terrestrial mammals, we explored the characteristics and geographic partitioning of mammal populations in different regions of China. We used a clustering algorithm, combined with the spatial distribution data and taxonomic characteristics of mammals, to geographically partition the terrestrial mammals in China. We found 10 zoogeographic regions of terrestrial mammals in China: Northeast region, North China region, Eastern grassland region, Western region, Northwest region, Qiangtang plateau region, Eastern Qinghai-Tibet Plateau region, Himalayan region, South China region, and Taiwan-Hainan region. We found a new geographical zoning pattern for terrestrial mammals in China, examined the variability and characteristics of species composition among different regions, and quantified the association between species distribution and environmental factors. We proposed a method of incorporating taxonomic information into cluster analysis, which provided a new idea for zoogeographic region studies, a new perspective for understanding species diversity, and a scientific basis for animal conservation and habitat planning.
中国自然条件复杂,生物多样性丰富。本研究基于中国陆栖哺乳动物的地理分布与物种构成特征,探讨中国不同地区哺乳动物种群的特点和地理分区;采用聚类算法,结合哺乳动物的空间分布数据和分类学特征,对中国陆栖哺乳动物进行地理分区。结果表明: 中国陆栖哺乳动物可分为东北区域、华北区域、东部草原区域、西部区域、西北区域、羌塘高原区域、青藏东部区域、喜马拉雅区域、华南区域、台湾-海南区域共10个动物地理区。研究结果揭示了中国陆栖哺乳动物的新地理分区模式,展现了不同区域间物种组成的差异性和特点,揭示了物种分布与环境因素之间的关联。本研究提出将分类信息纳入聚类分析的方法,为动物地理区域研究提供了新思路,为理解物种多样性提供了新视角,并为动物保护和栖息地规划提供了科学依据。.

To meet the 2050 decarbonization target of the global buildings and construction sector, more attention is needed to reduce carbon emissions from construction and demolition. However, current national carbon accounting studies for these activities remain limited in spatial granularity and localized applicability. This study developed a bottom-up spatiotemporal database of carbon emissions from building construction and demolition in Japan via integrating a geographic information system-based building stock model, statistical data, and survey information. Focusing on municipal-level emissions, the Logarithmic Mean Divisia Index approach was used to decompose spatiotemporal variations and identify the contributing factors. Results indicate that carbon emissions from Japan\'s construction and demolition activities fell by more than 50% between 2005 and 2020, largely due to declining new/demolished-to-stock ratio, suggesting a transition to a stock-based society. Central cities\' reliance on carbon-intensive buildings positively contributed to spatial variations in their construction emissions, underscoring the importance of sustainable materials and timber designs. Differences between prefectures in demolition emission intensity highlighted the strategic placement of recycling facilities in key regions to curb transportation-related emissions. Overall, these findings provided data reference for local governments to devise tailored policies for managing construction and demolition emissions.

In light of contemporary energy and environmental objectives, a pivotal transformation of the energy system, encompassing biomass energy, is imperative. A notable challenge in biomass energy facility layout planning is the trade-off between high-efficiency production and the associated investment costs. To harmonize energy efficiency with economy viability, a hybrid layout with the simultaneous construction of centralized and decentralized biomass energy facilities has emerged as a crucial strategic solution. However, the delineation methods for these two layouts lack explicit data support. This study established a population density threshold (PDT) suitable for selecting the distributed layout and employed population density as the criterion for delineating the two layouts. Taking Fuxin City as an example, hybrid layout planning schemes were generated under different PDTs, and a cost and energy benefit analysis framework was developed for these schemes. The results indicated that the scheme with a PDT of 145 person/km2 exhibited the highest energy and economic comprehensive benefits. Compared to a single layout, the planning strategy proposed in this study could achieve nearly the same energy surplus level while saving an investment cost ranging from 2403.9 million CNY to 25,000.23 million CNY. The findings are applicable to other regions with similar conditions, and the analysis framework proposed in this study can be utilized in formulating biomass development strategies for other countries and regions.

OBJECTIVE: This study aimed to investigate the risk factors for liver disease comorbidity among older adults in eastern, central, and western China, and explored binary, ternary and quaternary co-morbid co-causal patterns of liver disease within a health ecological model.
METHODS: Basic information from 9,763 older adults was analyzed using data from the China Health and Retirement Longitudinal Study (CHARLS). LASSO regression was employed to identify significant predictors in eastern, central, and western China. Patterns of liver disease comorbidity were studied using association rules, and spatial distribution was analyzed using a geographic information system. Furthermore, binary, ternary, and quaternary network diagrams were constructed to illustrate the relationships between liver disease comorbidity and co-causes.
RESULTS: Among the 9,763 elderly adults studied, 536 were found to have liver disease comorbidity, with binary or ternary comorbidity being the most prevalent. Provinces with a high prevalence of liver disease comorbidity were primarily concentrated in Inner Mongolia, Sichuan, and Henan. The most common comorbidity patterns identified were \"liver-heart-metabolic\", \"liver-kidney\", \"liver-lung\", and \"liver-stomach-arthritic\". In the eastern region, important combination patterns included \"liver disease-metabolic disease\", \"liver disease-stomach disease\", and \"liver disease-arthritis\", with the main influencing factors being sleep duration of less than 6 h, frequent drinking, female, and daily activity capability. In the central region, common combination patterns included \"liver disease-heart disease\", \"liver disease-metabolic disease\", and \"liver disease-kidney disease\", with the main influencing factors being an education level of primary school or below, marriage, having medical insurance, exercise, and no disabilities. In the western region, the main comorbidity patterns were \"liver disease-chronic lung disease\", \"liver disease-stomach disease\", \"liver disease-heart disease\", and \"liver disease-arthritis\", with the main influencing factors being general or poor health satisfaction, general or poor health condition, severe pain, and no disabilities.
CONCLUSIONS: The comorbidities associated with liver disease exhibit specific clustering patterns at both the overall and local levels. By analyzing the comorbidity patterns of liver diseases in different regions and establishing co-morbid co-causal patterns, this study offers a new perspective and scientific basis for the prevention and treatment of liver diseases.

Rapid urban developmental growth is a heated debate worldwide due to environmental challenges. This research has examined the spatiotemporal trend of informal built-up growth in Karachi city. Using a geo-information system, the past twenty years (2000-2020) trends of informal built-up growth are examined. For attaining the research objectives, geo-referenced high-resolution maps and satellite images are used for accuracy based spatial data. Karachi is divided into five different land use and land cover (LULC): formal built-up, informal built-up, vacant, water bodies, and green spaces. Spatial data of informal built-up growth change of five different years, 2000, 2005, 2010, 2015, and 2020 are generated through acquired maps digitization using ArcMap. Subsequently, the gains and transfers of Karachi\'s informal built-up growth based on five years 2000-2005, 2005-2010, 2010-2015, and 2015-2020 are analyzed using the Land Change Modeler (LCM) in IDRISI software. Also, land use land cover changes (LULCC) are predicted for the next 40 years (2020-2060) using the integrated Cellular Automata Markov (CA-Markov) simulation model in IDRISI. The results revealed that Karachi\'s built-up is expanding rapidly. Land conversion into the informal built-up area is alarming, as it has changed from 144.31 km2 to 217.19 km2 with 72.88 km2 in the past twenty years (2000-2020) and has occupied green and agricultural land. Most informal built-up areas have transitioned from vacant (71.01 km2) land use land cover (LULC). The informal built-up area could expand from 217.19 km2 to 317.63 km2, with about 100.44 km2 up to 2060. The planned and unplanned development will be towards the city\'s East (E) direction and will convert and ruin agriculture and vacant land. The present study provides suggestions to urban planners, administrative authorities, and policymakers to control informal growth and achieve sustainable development goals in developing countries.

The matching imbalance of resource factors leads to land use elemental conflicts (LUECs), which has become the bottleneck restricting high-quality social and economic development. The heavy industrial zones (HIZ) have become the focus area of LUECs due to the high-resource consumption. Taking the urban group of central Liaoning Province, the area of industrial revitalization in northeast China as a case study area, the study proposed a wavelet coherence approach to identifying the influencing indicators and indicators weight of LUECs for spatial evaluation. Two-dimensional graph theory is used to cluster the evaluation results of LUECs at the plot scale and controls the main indicators to put forward the zoning strategies of LUECs. The results showed that the main indicators affecting LUECs in the western part of the HIZ are mainly human indicators, while the fierce conflicts in the east mainly come from natural indicators. The zoning strategies of LUECs in the HIZ should prevent excessive energy consumption from increasing carbon emissions in intense conflict zone and moderate conflict zone and strengthen the rural settlement arrangement and soil erosion control in mild conflict zone and structure ecological security early warnings in potential conflict zone. This study provides an important reference for land use conflicts in the global heavy industrial urban agglomeration.

UNASSIGNED: Violence against doctors is a global concern. Violent injuries against doctors occur periodically in China. At least one violent injury event was witnessed by 54% of medical staff against doctors in 2020. Analyzing this phenomenon and establishing preventive measures is a common concern of the medical and criminal communities.
UNASSIGNED: This study comprised 712 injury events against doctors in Guangdong Province, China, from January 2019 to October 2022. The spatial distribution and spatiotemporal changes of these events were analyzed using ArcGIS and Excel software.
UNASSIGNED: Considering the geographical distribution, the injury events against doctors showed a three-level concentric circle pattern where, Guangzhou and Shenzhen, adjacent cities, and distant cities were ranked as high, medium, and low-risk areas, respectively. In temporal distribution, the periods of high incidence were 9-11, 14-15, and 20 o\'clock, and the incidence tended to be similar daily, with the peaks in June and July.
UNASSIGNED: We found that the risk level of injury events against doctors was positively correlated with the medical resources level in the areas. The injury event incidence was higher during the daytime working hours. Temperature may have a strong positive effect on injury events against doctors.

Cardiovascular disease (CVD) is the leading cause of death globally, coronary heart disease (CHD) is the main category of it. It has been shown that the urban built environment affects the occurrence of CHD, but most focus on single environmental factors. This study developed two multicomponent Urban Heart Health Environment (UHHE) Indexes (unweighted index and weighted index), which were based on the four main behavioral risk factors for CHD (unhealthy diet, lack of physical activity, smoking, and drinking). And we examined the relationship between the indexes and the prevalence of CHD. The prevalence calculation is based on the database of F Hospital patients, who have had coronary stent implantation (CSI). Furthermore, these single-center data were corrected to reduce underestimation of prevalence. We performed global (Ordinal Least Square) and local (Geographically Weighed Regression) regression analyses to assess the relationship between the two UHHE indexes and CHD prevalence. Both indexes showed a significant negative relationship with CHD prevalence. In its spatial relationship, a non-stationary was discovered. The UHHE indexes may help identify and prioritize geographical areas for CHD prevention and may be beneficial to urban design in China.

Biogas produced from agricultural waste can have potential benefits, such as offer clean renewable energy, protect the ecological environment, and reduce CO2 emission. However, few studies have been conducted on the biogas potential from agricultural waste and its CO2 emission reduction at the county level. Herein, the biogas potential from agricultural waste was calculated, and its spatial distribution in Hubei Province in 2017 was determined using a geographic information system. Then, an evaluation model for the competitive advantage of the biogas potential from agricultural waste was established using entropy weight and linear weighting methods. Moreover, the space partition of the biogas potential from agricultural waste was obtained through hot spot analysis. Lastly, the standard coal equivalent of biogas, the equivalent of coal consumption of biogas, and the CO2 emission reduction based on the space partition result were estimated. Results showed that the total and average biogas potentials from agricultural waste in Hubei Province were 18,498,317,558.54 and 222,871,295.89 m3, respectively. Qianjiang City, Jianli County, Xiantao City, and Zaoyang City had a high competitive advantage in the biogas potential from agricultural waste. The CO2 emission reduction of the biogas potential from agricultural waste was mainly in classes I and II.

Due to the climate change-induced extreme rainfall, urban flooding risk is one of the major concerning risks in the near future with accelerating occurrence frequency and intensity. To systematically evaluate the socioeconomic impacts induced by urban flooding, this paper proposed a GIS-based spatial fuzzy comprehensive evaluation (FCE) framework for local government to efficiently take contingency measures especially under urgent rescue conditions. The risk-assessing procedure could be investigated in 4 aspects: 1) application of the hydrodynamic model to simulate the depth and extent of inundation; 2) quantification of the impact of flooding with 6 methodically picked evaluation indexes concerning the transportation attenuation, residential security, and tangible and intangible monetary losses according to depth-damage functions; 3) implementing FCE method: comprehensive evaluation of urban flooding risk with the diverse socioeconomic indexes by fuzzy theory; and 4) presenting the risk maps of single and multiple impact factors intuitively in ArcGIS platform. The detailed case study in SA city validates the effectiveness of the adopted multiple index evaluation framework, which could help detect higher risk areas with low transport efficiency, high economic loss, high social impact, and high intangible damage. The results of single-factor analysis can also provide feasible suggestions for decision-makers and other stakeholders. Theoretically, the proposed method tends to improve the evaluation accuracy as the inundation distribution can be simulated by hydrodynamic model rather than subjective prediction with hazard factors, while the impact quantification with flood-loss models can also directly reflect the vulnerability of involved factors instead of empirical weight analysis of traditional methods. Besides, the results illustrate that the areas with higher risk levels reasonably coincide with severe inundation situations and dense hazard-bearing bodies. This systematic evaluation framework can support applicable references for further extension to other similar cities.