Damage In China Research Articles

Detection and recognition of the invasive species, Hylurgus ligniperda, in traps, based on a cascaded convolution neural network.

Hylurgus ligniperda, an invasive species originating from Eurasia, is now a major forestry quarantine pest worldwide. In recent years, it has caused significant damage in China. While traps have been effective in monitoring and controlling pests, manual inspections are labor-intensive and require expertise in insect classification. To address this, we applied a two-stage cascade convolutional neural network, YOLOX-MobileNetV2 (YOLOX-Mnet), for identifying H. ligniperda and other pests captured in traps. This method streamlines target and non-target insect detection from trap images, offering a more efficient alternative to manual inspections. Two cascade convolutional neural network models were employed in two stages to detect both target and non-target insects from images captured in the same forest. Initially, You Only Look Once X (YOLOX) served as the target detection model, identifying insects and non-insects from the collected images, with non-insect targets subsequently filtered out. In the second stage, MobileNetV2, a classification network, classified the captured insects. This approach effectively reduced false positives from non-insect objects, enabled the inclusion of additional classification terms for multi-class insect classification models, and utilized sample control strategies to enhance classification performance. Application of the cascade convolutional neural network model accurately identified H. ligniperda, and Mean F1-score of all kinds of insects in the trap was 0.98. Compared to traditional insect classification, this method offers great improvement in the identification and early warning of forest pests, as well as provide technical support for the early prevention and control of forest pests. © 2024 Society of Chemical Industry.

Revisiting the environmental Kuznets curve hypothesis in the context of renewable and non-renewable energy in China

This research paper attempts to determine the effect of fossil fuel, renewable energy, and economic growth on carbon dioxide emissions and revisits China's Environmental Kuznets curve (EKC) hypothesis. The time series analysis will be performed for the years 1990 to 2020. To begin, Augmented Dickey-Fuller (ADF) and Phillips Perron (PP) tests will be performed to verify the series' stationarity. Second, the cointegration test will be utilized to determine the validity of a cointegration vector before performing the Fully Modified Least Square approach to conduct long- and short-term estimation. The empirical analysis illustrates that renewable energy negatively and significantly affects short- and long-run carbon dioxide emissions. However, fossil fuel consumption only positively and significantly affects carbon dioxide emissions in the short run. The empirical evidence supports the Environment Kuznets Curve's hypothesis in China. Fossil fuel consumption has a considerably higher effect on carbon dioxide emissions than renewable energy. To avoid ecological damage in China, authorities must pay more consideration to encouraging the use of energy from renewable sources. This demonstrates that China's overall environmental performance first deteriorates before gradually improving with economic growth.

Assessment of climate damage in China based on integrated assessment framework

Developing a localized and consistent model framework for climate loss and damage assessment is crucial for the policy-making of climate change mitigation and adaptation. This study introduces a comprehensive, multidisciplinary Integrated Assessment Model (IAM) framework for evaluating climate damage in China, utilizing BCC-SESM climate model and FUND sectoral climate damage model under the SSP2-RCPs scenario. Employing a bottom-up approach, the research estimates climate damage across eight major sectors, recalibrates sectoral climate damage functions and parameters for China, and elucidates distinctions among direct climate loss, market climate loss, and aggregate climate loss. The findings reveal that the total climate damage function for China follows a quadratic pattern in response to temperature rise. By 2050, the estimated climate damage is projected to be 5.4%, 5.7%, and 8.2% of GDP under RCP2.6, RCP4.5, and RCP8.5, respectively. Additionally, both direct and market climate losses are projected to remain below 2% of GDP by 2050, while the aggregate climate loss could reach as high as 8.2%, which is predominantly attributed to non-market sectors. From a sectoral perspective, under the RCP8.5 scenario, human health damage constitutes the largest share (61.9%) of the total climate loss by 2050, followed by sea-level rise damage (18.6%). This study sheds lights on the adaptation policy that should attach importance to the non-market sectors, particularly focusing on human health and sea-level rise.

Numerical Simulation and Parameter Optimization of a New Reed–Nylon Net Combined Sand Fence

This paper introduces a kind of double-row reed–nylon net combined sand barrier. Using the computational fluid dynamics (CFD) method and the Euler–Euler double-fluid model, the new sand fences’ windproof effect and airflow features are simulated under different porosities and spacings, and the optimal configuration parameters are selected. The new sand fence has better windproof performance and practical significance than double-row reed and double-row nylon net fences. The new sand fences with a porosity of 0.3–0.4 and spacing of 28 H provide a longer protection range and a better wind protection effect. Considering the serious sand damage in China’s Taklamakan Desert, the new fences’ impact on sand buildup is examined. The combined sand fences have powerful sand blocking and accumulation effects, even though there is only a small quantity of sand accumulation on the leeward side of the second row. The sand particles primarily settle between sand fences in the center and rear areas. The combination of sand fences made of different materials combines the advantages of both, improves the construction efficiency and service life, and provides a more economical and efficient sand barrier arrangement for the arrangement of wind and sand-blocking facilities around railroads and highways in desert areas.

Can the digital economy address the loss of green development efficiency due to resource mismatch? Evidence from China’s land transaction markets

Land is the driving force of economic growth, but the proliferation of industrial land has resulted in wasted land resources, impaired economic efficiency, and ecological damage in China. Currently, the digital economy is transforming China’s economic growth model. Exploring the corrective mechanisms of the digital economy for land resource mismatch can contribute to efficient economic growth. Using a sample of Chinese prefecture-level cities from 2007–2019, we employ a spatial Durbin model to explore the impact of land resource mismatch on green development efficiency (GDE) in the context of the digital economy, which is critical to rational planning, utilization, and regulation of land resources. The findings show that (1) land resource mismatch inhibits GDE, and the crowding-out, structural inhibition, and agglomeration economy dilution effect are primary influencing mechanisms. (2) A local land resource mismatch harms GDE in neighboring areas. (3) The digital economy has a positive moderating effect on land resource mismatch and GDE. (4) Land resource mismatch reduces GDE in the eastern and central regions; the moderating effect of the digital economy exists only in the eastern region. Finally, this study proposes comprehensive and complete countermeasures to correct the land resource mismatch and its influence channels and enhance the construction of the digital economy. The conclusions of this study provide specific theoretical contributions to promote the spatial allocation efficiency of land resources, promote green and efficient economic development, and stimulate and release the dividends of the digital economy.

Legislative and judicial responses to public health protection under eco-environmental damage relief in China.

The group-type health damage caused by eco-environmental damage has been stated in the Environmental Protection Law and other laws in China. The first-ever Chinese Civil Code, which took effect in 2021, has explicitly defined eco-environmental damage relief and imposed affirmative duties on those who polluted the environment or destroyed the ecology. This study aims to describe the status quo of public health protection in eco-environmental damage relief and explore its progress and limits in protecting public health. By reviewing China's legislation on relief of eco-environmental damage and observing the implementation of these laws in judicial practice. All judicial cases of eco-environmental damage published by Chinese courts from January 2021 to May 2023 were selected and examined. From the perspective of the comparison of laws, the measurement of interests and the execution of cases, we discussed the issues of China's legislative and judicial responses to public health. The relief system of eco-environmental damage in China has been formed initially, but there are still some deficiencies: In the application of law for relief of public health, there are many choices of means, resulting in the choice conflict of law application; the public health damage in the eco-environmental damage case has been ignored by courts, and it has not been a dominant consideration element; the objects of the execution of the cases are directed to the pure eco-environmental restoration, and the restoration plan does not cover public health protection measures, which does not have a preventive effect on public health. The root cause of problems is that the relief of eco-environmental damage in China follows the logic of traditional private law. The issues mentioned above merit consideration in China's future law revisions and judicial practice. Based on the dual nature of public and private law in environmental health, it is necessary to adjust the provisions of responsibility for eco-environmental restoration from the framework of public law, including the scope and mechanism, and then further suggestion includes the legal subject, the benefit element and the use of funds.

A novel resilience analysis methodology for airport networks system from the perspective of different epidemic prevention and control policy responses.

As the COVID-19 pandemic fades, the aviation industry is entering a fast recovery period. To analyze airport networks' post-pandemic resilience during the recovery process, this paper proposes a Comprehensive Resilience Assessment (CRA) model approach using the airport networks of China, Europe, and the U.S.A as case studies. The impact of COVID-19 on the networks is analyzed after populating the models of these networks with real air traffic data. The results suggest that the pandemic has caused damage to all three networks, although the damages to the network structures of Europe and the U.S.A are more severe than the damage in China. The analysis suggests that China, as the airport network with less network performance change, has a more stable level of resilience. The analysis also shows that the different levels of stringency policy in prevention and control measures during the epidemic directly affected the recovery rate of the network. This paper provides new insights into the impact of the pandemic on airport network resilience.

Marine biological injuries and their medical management: A narrative review.

The marine environment can be extremely dangerous, and the harm caused by marine organisms when they contact the human body can be especially harmful, even deadly. Contact includes stings, bites, wounds, and consumption as food. In this article, the characteristics of the common marine biological injuries are summarized, the major marine organisms causing damage in China's marine waters are described, and injury prevention and treatment methods are discussed.

Reconstruction of a county-level resolution typhoon disaster database from 1980 to 2018 for China’s coastal area

This study develops a reconstructed typhoon disaster database over a longer period 1980–2018 and at higher spatial resolution by using the county-level resolution disaster records for the eight coastal provinces of China during the shorter period 2004–2013. Typhoon precipitation and wind data over the shorter period are matched to disaster data and a functional relationship is derived between typhoon meteorological impact and typhoon disaster (direct economic loss). This relationship is used to construct a disaster data set for a longer period. The basic characteristics of the reconstructed database are documented and analyzed. The above analyses show that, firstly, the reconstructed disaster data are consistent with the recorded data due to the highly significant correlation. Secondly, an appropriate reconstruction method is developed, involving three main phases: disaster data expansion for individual stations, establishment of relationships between disaster and typhoon precipitation and wind, and disaster database reconstruction. Thirdly, the annual cumulative damage shows an insignificant downward trend over time. Typhoon damage mainly occurred between July and September each year. Landfalling typhoons that moved northwestward and then turned northward always caused more severe damage in China. In general, the reconstructed disaster database can provides a data basis to typhoon risk and disaster mechanism researches.

Strong winds drive grassland fires in China

Accounting for 41.7% of China’s total land area, grasslands are linked to the livelihoods of over 20 million people. Although grassland fires cause severe damage in China every year, their spatiotemporal patterns and climate drivers are not well understood. In this study, we used grassland fire record forms provided by the National Forestry and Grassland Administration and grassland fire location data from the Wildfire Atlas of China to examine the spatiotemporal patterns and and seasonality of fires in China for the period from 2008 to 2020. We found that most grassland fires occurred in Inner Mongolia in northern China, specifically in the Hulun Buir and Xilingol grasslands. We found distinct differences in fire seasonality in northern China, which has a major fire season in April, versus southwestern China, where the major fire season occurs in February, March and April. April grassland fires in northern China are the result of strong winds, typically from the west, and spring drought. A secondary fire season in northern China occurs in October and is also driven by strong winds. The fire season in southwestern China seems to be less shaped by climatic factors such as wind speed, precipitation, and drought. This study provides support for decision-making by fire prevention and fire management authorities in China.

In the Name of Conservation

This thesis investigates the introduction, adaption, and implementation of the modern concept of heritage conservation in modern China after the opening of its treaty ports. Through an analysis of the different layers of disseminating and receiving knowledge in transnational exchanges, it explicitly points out the divergence between the Eurocentric concept of conservation and the Chinese tradition of treating historic buildings and sites. As a result of the complexity of understanding and adapting an imported idea, the heritage discourse in China is characterised by its own ambiguity. Conservation of modern heritage, in particular those built under colonial power, has seen conflicts of perceptions between conservation planning and interest-led practice. A progressive legislative framework for heritage conservation has had a limited binding effect on stakeholders’ actions to protect listed immovable built cultural heritage sites from artificial damage in China’s contemporary urban practices. By analysing various actors’ interpretations and expressions of the concept of “conservation” (known as “保护” in Chinese) derived from different temporalities, it explores the causes and effects of heritage strategies and approaches created by individuals, groups, and the state apparatus. Theoretically, it challenges the local acceptability of classic conservation principles that are primarily based on European thoughts and cultural background. Practically, it provides adequate clues for a multi-faceted consideration of listed heritage sites in future development. It highlights the significance of creating a powerful local narrative under the authoritative heritage discourse at a crossroads of ongoing globalisation and growing nationalism.

Environmental Consequences of Mining Bitcoin: The Carbon Emission in China

In recent years, as cryptocurrency has been recognized by more people and the value of the cryptocurrency has increased, many people make money through mining. It leads to mining becoming popular but also creates serious environmental problems. Mining bitcoin will consume much electricity and thus emits more greenhouse gases such as carbon dioxide, which has caused worldwide environmental issues. This paper will focus on figuring out that mining bitcoin will cause how much carbon emission damage in China during these years. The result of this research will provide the change in carbon emission with time and the prediction of the carbon emission trend caused by bitcoin mining in the future. This result of the article aims to focus the society and the government's attention on the damage mining bitcoin does to the environment and also provide suggestions on the measures the governments should take to reduce the unessential energy cost of bitcoin mining.

Coal Mining Surface Damage Characteristics and Restoration Technology

With the continuous improvement of mining technology and equipment in China’s coal mines, the number of working faces with high-intensity mining is increasing, and the area of surface damage continues to increase compared with previous years. In order to ensure safe production and protect the overall environment of the mining area, the damage characteristics of overlying rock and the transmission mechanism of surface damage in coal mining were analyzed, the forms of surface damage and their negative external influences were evaluated, the current situation of surface damage prevention and restoration technology was investigated, and the feasibility of surface damage economic utilization was considered. According to the above theoretical analysis and the current situation of China’s industry, this paper discusses the prevention and restoration of surface damage in China, and puts forward the following idea of mine governance: “utilization first, prevention and restoration later; natural restoration is the main approach, and artificial restoration is auxiliary; artificial restoration and natural restoration should be combined”, which provides a governance concept for mine surface damage management. This study on the negative external influence of rock and surface damage and its prevention and restoration technology is of great significance for mine safety and environmental protection.

Research on ultrasonic sparse DC-TFM imaging method of rail defects

Rail damage is usually the main factor that affects the safe operation of trains, which may even lead to catastrophic accidents, such as train derailment and capsizing. It’s important to accurately detect the internal damage of the rail in real time. Ultrasonic testing is a main technology for the detection of rail damage in China, but there are some problems of misdetection and omission due to irregular rail shape, poor coupling, difficulty in automatic alignment, and inconvenient adjustment of the incident angle of the ultrasonic wafer, which results in a damage review rate of rail-defect detection lower than 78% in China. In this study, the phased array total focus method (TFM) imaging was applied to rail-damage detection, and the directivity correction-based sparse TFM imaging method (DC-TFM) was proposed to solve the problems of the existing phased array TFM imaging methods, such as inaccuracy and long computing time. The directivity function of array elements was used to correct the sound field intensity of different pixels to improve the accuracy of the TFM imaging. The experimental results show that the accuracy of the TFM imaging of defects is improved by 28% with correction of the sound field directivity. A sparse array designed based on the particle swarm optimization (PSO) algorithm was used to replace the full matrix data for the DC-TFM imaging, ensuring the imaging quality and reducing the imaging computing time. When the sparse rate is 75%, the array performance indicator (API) and the signal-to-noise ratio (SNR) are reduced only slightly, but the imaging computing time is shortened substantially by more than 40%, which indicates that the proposed sparse DC-TFM method can effectively improve the speed of rail-damage detection.

The Diversity, Distribution and Status of Phytoplasma Diseases in China

Phytoplasmas are important prokaryotic pathogenic bacteria without cell walls, which were formerly known as mycoplasma-like organisms, and belong to the Mollicutes class, Candidatus Phytoplasma genus. They are widely distributed in plants and insects, and can cause serious diseases in important food crops, vegetables, fruit trees, ornamental plants and trees, resulting in huge economic losses. To date, more than 100 phytoplasma diseases have been reported in China, which are distributed throughout the country. Jujube witches'-broom, paulownia witches'-broom, wheat blue dwarf, banana bunchy top, sugarcane white leaf, rice orange leaf and mulberry dwarf represent the phytoplasma diseases causing the most serious damage in China. New phytoplasma diseases and their strains are being reported continuously, indicating that phytoplasmas are more diverse than previously thought. Phytoplasmas are mainly transmitted by insect vectors, such as leafhopper and planthopper, and can also be spread by grafting or Cuscuta australis (known as dodder). Mixed infections of phytoplasmas and viruses, bacteria, and spiroplasmas have also become a serious problem in several crops and are responsible for more synergistic losses. With the continuous development and improvement of technology, molecular biological detection has become the main technique for phytoplasma detection and identification. Currently, research on phytoplasma diseases in China mainly focuses on pathogen identification and classification, and insect vector and host diversity; however, there is less focus on pathogenicity, comparative genomics, and effect factors. More research attention has been paid to wheat blue dwarf phytoplasma, paulownia witches'-broom phytoplasma, jujube witches'-broom phytoplasma, and sugarcane white leaf phytoplasma. Other phytoplasma diseases have been reported; however, there have been no in-depth studies. In this paper, the history and present situation of phytoplasma research, and the status, distribution, and diversity of phytoplasma diseases are summarized, and some possible research directions of phytoplasma in the future in China are proposed.

Increased variability of the western Pacific subtropical high under greenhouse warming.

SignificanceThe western Pacific subtropical high (WPSH) channels moisture from the tropics that underpins the East Asian summer climate. Interannual variability of the WPSH dominates climate extremes in the densely populated countries of East Asia. In 2020, an anomalously strong WPSH led to catastrophic floods with hundreds of deaths, 28,000 homes destroyed, and tens of billions in economic damage in China alone. How the frequency of such strong WPSH events will change is of great societal concern. Our finding of an increase in future WPSH variability, translating into an increased frequency of climate extreme as seen in the 2020 episode, highlights the increased risks for the billions of people in the densely populated East Asia with profound socioeconomic consequences.

A multi-model assessment of climate change damage in China and the world

Quantifying climate damage is essential to informing rational climate policies, but only a few studies have systematically compared the climate damage estimates made by different models, especially for China. In this study, we used three widely applied integrated assessment models—FUND, RICE, and PAGE—to estimate the damage under coupled shared socioeconomic pathways and representative concentration pathways (RCPs). Results show that the costs of climate damage constitute approximately 1.5% and 0.7% of China's GDP and global GDP per 1 °C temperature rise on average, respectively. Mitigation can reduce climate risk by lowering the average estimate and worst-case effects of climate damage. Compared with business-as-usual emissions (RCP8.5), the 2 °C target will reduce the average estimate of climate damage for China and the world by 93% and 87%, respectively, and by 80% and 84%, respectively, in the worst-case situation. Sectorial analysis of climate damage highlights the inconsistency of sector scope and significant parameter uncertainties in damage modules, requiring further improvement to integrate subfield research advances, particularly for damage related to rising sea levels and cooling energy demand.

海洋生物多样性损害与沿海地区经济增长关系实证研究

PDF HTML阅读 XML下载 导出引用 引用提醒 海洋生物多样性损害与沿海地区经济增长关系实证研究 DOI: 10.5846/stxb202105141269 作者: 作者单位: 作者简介: 通讯作者: 中图分类号: 基金项目: 国家社会科学基金重大项目（16ZDA049） Empirical research on the relationship between marine biodiversity damage and economic growth in coastal areas, China Author: Affiliation: Fund Project: 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:海洋生物多样性是海洋生态系统服务的基础，保护海洋生物多样性不仅对维持地球生态系统的功能至关重要，也与人类福祉密切相关。基于沿海11个省区生态系统亚健康程度指标和物种多样性损害指标，运用面板回归模型对中国沿海地区经济增长与海洋生物多样性损害的关系进行实证考察。研究结果表明：（1）海洋生态系统亚健康程度与沿海地区经济增长之间存在显著的线性关系，随着经济增长，典型海洋生态系统亚健康状态占比呈现出持续上升趋势。此外，实施排污费制度和建立海洋自然保护区有利于抑制海洋生态系统的恶化。（2）海洋物种多样性损害与沿海地区经济增长之间存在显著"倒U"型关系，随着经济增长，海洋物种多样性损害呈现先上升后下降的态势，转折点为人均GDP 45145元，目前海南省、广西壮族自治区、河北省未跨过转折点。此外，排污费制度有利于抑制海洋物种多样性损害，而沿海地区目前的产业结构加重了海洋物种多样性损害。根据实证分析结果，海洋生态系统健康尚未出现拐点，沿海地区经济增长如果建立在对生态环境破坏的基础上，则势必会造成生物多样性的损害。因此从规范海域利用方式，完善海岸生态保护红线划定，加强生态系统的监测与管理，保持绿色可持续的经济发展方式，引导沿海城市紧凑发展等方面提出保护和管理海洋生物多样性的建议。 Abstract:Marine biodiversity is fundamental to the provision of Marine ecosystem services. Protecting Marine biodiversity is not only essential to the functioning of the earth's ecosystems, but also closely related to human well-being. Based on the indicators of Marine ecosystem health and species diversity damage in China's coastal provinces, this paper use panel regression model to analyze the relationship between economic growth and Marine biodiversity damage in China's coastal areas. The results showed that:(1) there is a significant linear relationship between the sub-health degree of Marine ecosystems and the economic growth in coastal areas. With the economic growth, the sub-health status of typical Marine ecosystems has a continuous upward trend. In addition, the implementation of pollution charge system and the establishment of Marine nature reserves are conducive to suppress the deterioration of Marine ecosystem. (2) There is an inverted U-shaped relationship between the damage of Marine species diversity and the economic growth of coastal areas. The turning point was 45,145 yuan per capita GDP. With economic growth, the damage of Marine species diversity increase first and then decrease. From the perspective of time trajectory, the inflection point of species diversity damage corresponds to the time stage from 2009 to 2010. From the perspective of spatial distribution, Hainan province, Guangxi Zhuang Autonomous Region and Hebei Province are still in the rising part of the curve, The economic growth level of Shandong, Liaoning, Shanghai, Zhejiang, Tianjin, Jiangsu, Guangdong and Fujian provinces has passed the inflection point value, those provinces are in the curve decline stage. The pollution charge system is beneficial to suppress the Marine species diversity damage, but the current industrial structure in coastal areas aggravate the Marine species diversity damage. According to the results of empirical analysis, we know that if the economic growth is based on the destruction of the ecological environment, it is bound to cause damage to biodiversity. Even though there is an inverted U-shaped relationship between Marine species diversity and economic growth in coastal areas, there is still no inflection point between economic growth and Marine ecosystem health, so the sub-health of Marine ecosystem may further lead to the loss of Marine biodiversity, forming a vicious circle. some suggestions are put forward to protect and manage Marine biodiversity:(1) we should strengthen biodiversity protection, broaden the ways of Marine biodiversity protection, and ensure the diversity of Marine biodiversity protection methods;(2) we should maintain a green and sustainable pattern of economic development and promote industrial restructuring and upgrading. meanwhile, we should guide the smart growth of coastal areas and prevent the occupation of coastal wetlands and large-scale reclamation of land due to blind pursuit of economic growth. 参考文献 相似文献 引证文献

Compensation for Marine Ecological Damage: From ‘Tasman Sea’ to ‘Sanchi’

The research on marine ecological compensation is aimed to protect the marine environment and sustainably utilize marine ecosystem services, and is an important institutional instrument for coordination of the relationships among environmental, economic and other social interests. The legal mechanism of marine ecological compensation should be an important way to effectively deal with the contradictions (for examples: the value loss of marine ecosystem services, destruction of marine biodiversity, etc.) in marine eco-environmental protection. This paper firstly introduces the case of the “Sanchi” ship accident, which is regarded as the first collision case of a tanker carrying gas condensate in world shipping history, and also provides a detailed analysis of the “Tasman Sea” ship case which is regarded as the first compensation claim for marine ecological damage in China, and makes some related discussions on marine ecological compensation concerning the two cases. Then, the paper probes into the research theme from four aspects: China’s legislative deployment, the legal connotation of marine ecological damage (including the current legal status of compensation claims, subjects of compensation claims, the compensation scope and the evaluation system.), major challenges in legal practice, and remediation of marine ecological damage in China. Finally, the paper provides some suggestions on marine ecological damage compensation for the final settlement in the “Sanchi” case, and tries to explore the future trend of the research theme based on the China’s marine strategy.

Naturally occurring mutated infectious bursal disease virus of genotype A8B1 associated with bursa damage in China

Infectious bursal disease virus (IBDV), the causative agent of infectious bursal disease (IBD), mainly damages the bursa of Fabricius, which is a central immune organ of birds. As an RNA virus, IBDV is prone to mutation owing to a combination of factors including natural selection pressure. In this study, a naturally occurring mutated IBDV associated with bursa damage was identified, IBDV-HeN20-7103 strain, in an infected chicken flock in central China. Its full-length genome was cloned, and sequence analysis showed that the IBDV-HeN20-7103 strain was located along with the attenuated IBDV, which corresponds to genotype A8B1 of the recently proposed classification scheme, on the branch of the phylogenetic tree. The amino acid sequence comparisons further highlighted the specific characteristics of IBDV-HeN20-7103 with mutation H253Q compared to the attenuated strain. Animal experiments showed that IBDV-HeN20-7103 could induce serious bursal lesions without mortality, which revealed a unique cause of disease in this flock. The identification of such a strain reaffirms the complexity of IBDV evolution and prevalence.