Recovery Efforts Research Articles

A digital twin framework for efficient electric power restoration and resilient recovery in the aftermath of hurricanes considering the interdependencies with road network and essential facilities

The community's resilience in the face of natural hazards relies heavily on the rapid and efficient restoration of electric power networks, which plays a critical role in emergency response, economic recovery, and the functionality of essential lifeline and social infrastructure systems. Leveraging the recent data revolution, the digital twin (DT) concept emerges as a promising tool to enhance the effectiveness of post-disaster recovery efforts. This paper introduces a novel framework for post-hurricane electric power restoration using a hybrid DT approach that combines physics-based and data-driven models by utilizing a dynamic Bayesian network. By capturing the complexities of power system dynamics and incorporating the road network's influence, the framework offers a comprehensive methodology to guide real-time power restoration efforts in post-disaster scenarios. A discrete event simulation is conducted to demonstrate the proposed framework's efficacy. The study showcases how the electric power restoration DT can be monitored and updated in real-time, reflecting changing conditions and facilitating adaptive decision-making. Furthermore, it demonstrates the framework's flexibility to allow decision-makers to prioritize essential, residential, and business facilities and compare different restoration plans and their potential effect on the community.

QUIC Congestion Control Algorithm characteristics in mixed satellite–terrestrial emergency communication scenarios

Reliable communications play a pivotal role in ensuring an efficient response and the coordination of recovery and rescue efforts. However, conventional communication methods may not always be accessible or dependable in such situations. In such circumstances, constellations of Low Earth Orbit (LEO) satellites can provide high bandwidth capabilities with relatively low latency, making them well-suited for supporting on-the-ground disaster management teams. Satellites can either complement or replace terrestrial telecommunication infrastructures. In this context, reliance on the recently defined QUIC protocol allows for a seamless transition from terrestrial to satellite communication as needed. Therefore, we investigate the possible use of a dual-stack node architecture along with the employment of the QUIC transport protocol for emergency communications, assuming that the backhaul link used to transfer users’ applications data may need to be changed (seamlessly). We conduct an extensive emulation study, evaluating the performance of QUIC under varying queuing policies and Congestion Control Algorithm (CCA) behaviour, providing practical insights and recommendations to enhance the protocol’s efficiency and robustness. The key aspects and configurations of QUIC protocol stack are identified, presenting optimal communication configurations leveraging CoDel and BBR CCA.

‘Life became harder with COVID-19’: exploring the experiences of the COVID-19 pandemic among youth living in eThekwini district, South Africa

BackgroundIn South Africa, pervasive age and gender inequities have been exacerbated by the COVID-19 pandemic and public health response. We aimed to explore experiences of the COVID-19 pandemic among youth in eThekwini district, South Africa.MethodsBetween December 2021-May 2022 we explored experiences of the COVID-19 pandemic on youth aged 16–24 residing in eThekwini, South Africa. We collated responses to the open-ended question “Has the COVID-19 pandemic affected you in any other way you want to tell us about?” in an online survey focused on understanding the pandemic’s multi-levelled health and social effects. We used a thematic analysis to summarise the responses.ResultsOf 2,068 respondents, 256 (12.4%, median age = 22, 60.9% women) completed the open-ended survey question (11% in isiZulu). Results were organized into three main themes encompassing (1) COVID-19-related loss, fear, grief, and exacerbated mental and physical health concerns; (2) COVID-19-related intensified hardships, which contributed to financial, employment, food, education, and relationship insecurities for individuals and households; and (3) positive effects of the pandemic response, including the benefits of government policies and silver linings to government restrictions.ConclusionsWe found that South African youth experienced significant grief and multiple losses (e.g., death, income, job, and educational) during the COVID-19 pandemic. Trauma-aware interventions that provide economic and educational opportunities must be included in post-COVID recovery efforts.

THE IMPACT OF THE COVID PANDEMIC ON THE BUSINESS ENVIRONMENT OF GEORGIA AND THE STRATEGIES TO FIGHT AGAINST THE PANDEMIC

Besik Kvachantiradze E-mail: b.kvatchantiradze@gmail.com PhD Students,Batumi Shota Rustaveli state University Batumi, Georgia https://orcid.org/0000-0003-2833-1007 Abstract: The COVID-19 pandemic has significantly changed the business landscape around the whole world. Georgia was no exception. Against the challenges caused by the COVID-19 pandemic, the business environment of Georgia has undergone significant transformations. The country has recognized the vital role of economic development in the well-being of society, and the government has focused on promoting the growth of innovation while overcoming the obstacles caused by the pandemic. The COVID-19 pandemic has disrupted global trade and tourism, which has had a huge impact on Georgia's economy. With a heavy reliance on tourism, border closures and travel restrictions have led to a sharp drop in tourist arrivals, leading to job losses and reduced business revenue. Small and medium enterprises (SMEs), which are the backbone of Georgia's economy, have faced enormous challenges during the pandemic. Many businesses, particularly in the retail, hospitality and entertainment sectors, have been forced to close due to financial constraints and lack of government support. Addressing these obstacles required coordinated efforts by government authorities and international organizations to mitigate the negative effects of the pandemic and implement recovery efforts. Georgia has been trying to adapt to global economic trends for years; and the pandemic has highlighted the need for acceleration of innovation and adaptation to international business norms and standards. Keywords: Business environment, small and medium business JEL classification: O1, G2, E4

A Novel Attention-Based Generalized Efficient Layer Aggregation Network for Landslide Detection from Satellite Data in the Higher Himalayas, Nepal

Landslide event detection poses a significant challenge in the remote sensing community, especially with the advancements in computer vision technology. As computational capabilities continue to grow, the traditional manual and partially automated methods of landslide recognition from remote sensing data are transitioning towards automatic approaches using deep learning algorithms. Moreover, attention models, encouraged by the human visual system, have emerged as crucial modules in diverse applications including natural hazard assessment. Therefore, we suggest a novel and intelligent generalized efficient layer aggregation network (GELAN) based on two prevalent attention modules, efficient channel attention (ECA) and convolutional block attention module (CBAM), to enrich landslide detection techniques from satellite images. CBAM and ECA are separately integrated into GELAN at different locations. The experiments are conducted using satellite images of the Nepal Himalayan region. Standard metrics such as precision, recall, F-score, and mAP (mean average precision) are considered for quantitative evaluation. GELANc+CBAM (F-score = 81.5%) demonstrates the best performance. This study underscores the suitability of the proposed approach in up-to-date inventory creation and accurate landslide mapping for disaster recovery and response efforts. Moreover, it contributes to developing early prediction models for landslide hazards.

Gender dynamics in humanitarian leadership: navigating COVID-19 and beyond

This paper explores the intersection of the impacts of COVID-19 on women and girls in humanitarian settings with the necessity of incorporating female perspectives in decision-making roles within multilateral institutions delivering humanitarian aid. Women remain underrepresented in leadership positions in these multilateral institutions. However, increased female participation in leadership roles is linked to greater consideration of women’s needs in humanitarian response plans, thereby promoting gender-sensitive recovery efforts. Given COVID-19’s exacerbation of preexisting gender disparities in fragile settings, gender-responsive relief measures are crucial in humanitarian contexts. With the rising demand for humanitarian aid, prioritizing gender-sensitive and inclusive responses is essential for fostering an equitable and resilient post-COVID-19 future.

Natural Disaster Mitigation Strategies: A Comprehensive Review

The world is often rocked by the devastating effects of natural disasters, presenting a formidable challenge to communities everywhere. In order to address these challenges and minimize their impact, it becomes imperative for proactive measures to be taken. This comprehensive review delves into the wide array of strategies put in place to mitigate the vulnerability of both populations and infrastructure when faced with these hazardous occurrences. Taking into account an extensive range of literature, case studies, and expert opinions, this review strives to synthesize crucial findings that shed light on effective approaches towards mitigation. It commences by classifying natural disasters according to their distinct characteristics and geographical spread, bringing attention to their individual traits. Furthermore, it embarks on an analysis aimed at uncovering the root causes and driving factors behind these calamities - underlining how essential it is for us all to comprehend their dynamics in order to craft tailored mitigation plans. The significance of pre-disaster preparedness is emphasized through an exploration of risk assessment procedures, early warning systems implementation practices as well as land-use planning strategies. The critique emphasizes the importance of proactive measures, such as fortifying infrastructure and incorporating resilience principles into city planning. It also discusses the vital role of community engagement, education, and capacity building in bolstering disaster preparedness at a local level. The review delves into innovative methods for promoting community resilience, including participatory decision-making processes and initiatives focused on knowledge exchange. Furthermore, it evaluates the impact of technological advancements like remote sensing, geographic information systems (GIS), and predictive modeling on enhancing early warning systems, risk assessment protocols, and disaster response efforts. The analysis suggests various opportunities for utilizing technology to strengthen mitigation strategies effectively Post-disaster Response and Recovery: Analyzing the challenges and opportunities in postdisaster response and recovery efforts, emphasizing the importance of rapid and coordinated interventions to restore essential services, infrastructure, and livelihoods. The review explores strategies for promoting resilient reconstruction and long-term recovery. Policy Frameworks and International Cooperation: Evaluating the role of policy frameworks, international cooperation, and funding mechanisms in supporting effective disaster mitigation efforts. The review identifies policy gaps and barriers to implementation, along with recommendations for enhancing policy coherence and coordination at the national and international levels. In conclusion, this comprehensive review underscores the multidimensional nature of natural disaster mitigation and the importance of adopting integrated approaches that combine technical expertise, community engagement, and policy support. By synthesizing existing knowledge and best practices, this review provides valuable insights for policymakers, practitioners, and researchers striving to build more resilient and sustainable communities in the face of natural hazards. By synthesizing existing knowledge and best practices, this review provides valuable insights for policymakers, practitioners, and researchers striving to build more resilient and sustainable communities in the face of natural hazards.

THE EFFECT OF PANDEMICS AND EPIDEMICS ON SOCIO-ECONOMIC RIGHTS AND SUSTAINABLE DEVELOPMENT: LESSONS AND RECOMMENDATIONS FOR AFRICA

The recent COVID-19 pandemic highlighted the importance of socio-economic rights and sustainable development not only in Africa but globally. This article discusses the relationship between socio-economic rights and sustainable development. This is followed by a discussion on the impact of pandemics and epidemics on socio-economic rights and the significant effect they can have on the realisation and enjoyment of such rights. Focusing on Africa, the discussion turns to the impact of pandemics and epidemics on sustainable development before looking at the lessons learned from such pandemics and epidemics. Because the recommendations flow from the lessons, these are discussed together. The main recommendation is that a human rights-based approach should be adopted not only in sustainable development but also in any post-pandemic recovery efforts and programmes. Other recommendations include building resilient health systems, addressing the root causes of poverty and inequality, prioritising investment in digital technologies and improving social protection systems, among others.

Coastal fisheries and community-based support systems in post disaster contexts

Pacific Island Countries and Territories are highly exposed to natural disasters, intensified by increases in frequency and force of extreme weather events. Pacific societies, like in Vanuatu, have been shaped in many ways by such natural disasters; reflected in customary practices and social fabric of rural coastal communities. When a natural disaster occurs, government attention justifiably focuses on channelling and coordinating international humanitarian aid to fill gaps in capacity and resourcing national recovery efforts. However, central to disaster recovery, particularly in the immediate aftermath of disruption, are the ways that local people support each other (within and between communities). Disconnects between national and local recovery efforts are common and stand to inhibit effective responses. This study aims to understand horizontal, self-organised community-to-community support systems and communities’ post-disaster engagement with external aid. It draws from two different datasets: i) the observations collected through the emergency relief work led by the National Disaster Management Office in Vanuatu shortly after the 2023 twin tropical cyclones Judy and Kevin hit the country, as well as ii) the loss and damage survey led by the Vanuatu Fisheries Department to estimate the level of damage these cyclones caused in various regions of Vanuatu. Through this process, we highlight the social systems that enable community-to-community support, as well as potential opportunities for external-aid to support communities in a more efficient manner. Results reveal that community-to-community support is critical in the first weeks post-disaster. Recognizing the roles that different support networks play at different stages of disaster response is critical not only to improving people's and institutions' ability to bounce back from particular disruptions, but also in broader efforts to strengthen community resilience in the face of climate change.

Social disparities in flood exposure and associations with the urban environment in 44,698 neighborhoods in 276 cities in eight Latin American countries.

Climate change is expected to greatly increase exposure to flooding, particularly in urban populations in low- and middle-income countries. We examined within-city social disparities in exposure to flooding in 276 Latin American cities and associated features of the neighborhood urban environment. We used a spatially granular dataset of historical flood events from 2000 to 2018 to describe neighborhood flooding within cities across eight Latin American countries (Argentina, Brazil, Chile, Colombia, Costa Rica, Guatemala, Mexico, and Panama). We estimated the percentage of the population living in flooded neighborhoods, described social disparities in flooding based on neighborhood educational attainment, and compared the magnitude of disparities across and within cities. We used multilevel models to examine how city- and neighborhood-level factors are related to neighborhood flooding. We examined 44,698 neighborhoods in 276 cities from eight countries with a total of 223 million residents and 117 distinct flood events from 2000-2018. One in four residents in neighborhoods in the lowest education quintile lived in neighborhoods with flooding, compared to one in 20 residents of the highest neighborhood education quintile. Greater neighborhood flooding was associated with lower neighborhood-level educational attainment and with neighborhoods that were coastal, less dense (population or intersection), further from the city center, greener, and had steeper slopes. There was no association between city-level educational attainment and flooding. There are large social disparities in neighborhood flooding within Latin American cities. Residents of areas with lower education attainment face substantially higher risks of flooding. Policymakers must prioritize flood adaptation and recovery efforts in neighborhoods with lower socioeconomic position.

A global forest burn severity dataset from Landsat imagery (2003–2016)

Abstract. Forest fires, while destructive and dangerous, are important to the functioning and renewal of ecosystems. Over the past 2 decades, large-scale, severe forest fires have become more frequent globally, and the risk is expected to increase as fire weather and drought conditions intensify. To improve quantification of the intensity and extent of forest fire damage, we have developed a 30 m resolution global forest burn severity (GFBS) dataset of the degree of biomass consumed by fires from 2003 to 2016. To develop this dataset, we used the Global Fire Atlas product to determine when and where forest fires occurred during that period and then we overlaid the available Landsat surface reflectance products to obtain pre-fire and post-fire normalized burn ratios (NBRs) for each burned pixel, designating the difference between them as dNBR and the relative difference as RdNBR. We compared the GFBS dataset against the Canada Landsat Burned Severity (CanLaBS) product, showing better agreement than the existing Moderate Resolution Imaging Spectrometer (MODIS)-based global burn severity dataset (MOdis burn SEVerity, MOSEV) in representing the distribution of forest burn severity over Canada. Using the in situ burn severity category data available for the 2013 wildfires in southeastern Australia, we demonstrated that GFBS could provide burn severity estimation with clearer differentiation between the high-severity and moderate-/low-severity classes, while such differentiation among the in situ burn severity classes is not captured in the MOSEV product. Using the CONUS-wide composite burn index (CBI) as a ground truth, we showed that dNBR from GFBS was more strongly correlated with CBI (r=0.63) than dNBR from MOSEV (r=0.28). RdNBR from GFBS also exhibited better agreement with CBI (r=0.56) than RdNBR from MOSEV (r=0.20). On a global scale, while the dNBR and RdNBR spatial patterns extracted by GFBS are similar to those of MOSEV, MOSEV tends to provide higher burn severity levels than GFBS. We attribute this difference to variations in reflectance values and the different spatial resolutions of the two satellites. The GFBS dataset provides a more precise and reliable assessment of burn severity than existing available datasets. These enhancements are crucial for understanding the ecological impacts of forest fires and for informing management and recovery efforts in affected regions worldwide. The GFBS dataset is freely accessible at https://doi.org/10.5281/zenodo.10037629 (He et al., 2023).

Survey of Inpatient Satisfaction with Food Services at Sidoarjo Hospital

Background: The success of food delivery depends on the expectations, perceptions, and assessment of patient satisfaction with the quality of services provided by the hospital. Nutrition services, especially the provision of food for inpatients, is one of the medical support services that can help patients' healing and recovery efforts Objectives: This study aims to determine the description of inpatient satisfaction with food services at Sidoarjo Regional Hospital. This study was conducted descriptively with a cross sectional research design Methods: Determination of the sample by accidental sampling where respondents are subjects who are encountered or happen to be treated in each inpatient room in September 2019 with a sample size of 350 patients. Data collection was carried out by interview method using a patient satisfaction questionnaire. Results: The percentage of overall patient satisfaction who stated that they were satisfied was 91%, while those who stated that they were not satisfied were 9%. Indicators of patient satisfaction include cleanliness of cutlery, food appearance, attitude and appearance of waiters, taste of dishes, temperature of dishes, and nutritionist visits. Conclusions: The indicator of nutritionist visits is an indicator that has the highest inappropriate value, seen in the survey results in the VK room (23%), Mawar Kuning (51%), Mawar Merah Putih (46%), and Tulip (9%), and patients as a whole (26%). In addition, the temperature indicator of the dish is also an indicator that has the highest percentage of inappropriate values, seen in the survey results in the Teratai room (16%) and Tulip (9%).

ACCOUNTING IN UKRAINE: TODAY'S CHALLENGES

The ongoing military conflict in Ukraine has inflicted significant damage on the nation’s infrastructure and economy, disrupting traditional business operations and necessitating a reevaluation of accounting standards and practices. This disruption highlights the critical role of accounting in assessing damage, supporting recovery efforts, and adapting to a rapidly changing economic environment. As such, understanding the modifications and challenges in accounting during this period is essential for ensuring business continuity and aiding national recovery. This article aims to analyze the organizational, legislative, and regulatory changes in accounting and financial reporting practices in Ukraine during the conflict. It seeks to evaluate how these adaptations address the specific needs of businesses operating under crisis conditions and contribute to sustaining economic activity during periods of instability. The study employs a combination of general scientific methods including analysis and synthesis, induction and deduction, and theoretical generalization. A comprehensive review of recent legislative acts and modifications to the Ukrainian accounting framework provides a detailed understanding of the current accounting landscape and its evolution in response to the conflict. The findings reveal significant legislative adaptations that have simplified tax systems, reduced tax rates, and introduced exemptions aimed at alleviating the burden on businesses. Additionally, the establishment of emergency-specific accounts for recording the financial impacts of the conflict has enhanced the clarity and accuracy of financial reporting. These changes have not only facilitated the immediate survival of businesses but also laid the groundwork for future economic stability and recovery. Looking forward, continuous adjustments and updates to accounting standards will be crucial as the situation in Ukraine evolves. Future research should focus on the long-term effectiveness of these adaptations and explore further modifications to support the resilience and recovery of the Ukrainian economy. The development of robust accounting practices remains a cornerstone of economic recovery and sustainability, serving as both a record of the impacts of the conflict and a foundation for rebuilding efforts. By documenting and analyzing these changes, this article contributes valuable insights into the role of accounting in crisis management and recovery, providing a resource for academics, practitioners, and policymakers involved in navigating and overcoming the challenges posed by the conflict in Ukraine.

Barriers to long-term disaster recovery in rural Appalachia: A retrospective analysis of the 2016 West Virginia flood

The research presented in this paper explores the barriers to long-term disaster recovery in understudied rural communities in the eastern United States, along the Appalachian Mountains. This region, referred to as Appalachia, faces many of the same barriers to long-term disaster recovery as urban communities but also faces unique circumstances due to depressed socioeconomics, reduced access to public services, and the nominal capabilities of small, rural town governments. Devasting floods occurred throughout the eastern and central regions of Appalachia in 2016. Interviews were recently conducted with local, state, and federal government officials, nonprofit groups, and industry professionals about the long-term recovery efforts from this event. The findings highlight a multifaceted set of barriers. A total of twenty-two barriers are described, including limited economic resources, lack of flood insurance, slow allocation of funding, skilled labor shortages, unclear roles and responsibilities among stakeholders, a lack of long-term planning, regulatory delays, complex reimbursement processes, uncertain design standards, an attachment to flood-prone regions, and a lack of knowledge of building codes. Many of these barriers compound each other. Future research is needed to develop solutions that address these barriers for small, rural communities still straining to recover from a disaster that occurred years ago.

Computer vision tools for early post-disaster assessment: Enhancing generalizability

Remote sensing data, particularly satellite imagery, have made early, post-hazard aerial damage assessment possible due to its fast availability and extensive coverage. Despite breakthroughs in using deep computer vision with satellite image inputs, achieving high generalizability across diverse hazards and locations remains the main obstacle to effectively deploying early assessment tools in real-world scenarios, as the same hazard can manifest differently across various landscapes and urban textures. This challenge may be overlooked when working with curated datasets with minimal (test-to-train) shifts in urban textures and hazard damage features (e.g., due to undersized study regions), leaving models ill-prepared for real-world scenarios. The primary objective of this study was to understand non-trivial generalizability challenges by taking the 2023 Turkiye earthquake and the Maui wildfire incidents as “training” and “unseen test” events that simulated a demanding scenario. Subsequently, strategies such as augmenting image channels with damage proxy maps, data fusion, deep ensemble learning, and Test Time Augmentation were exclusively designed and implemented to address those challenges. These measures significantly improved the damage detection, with or without severity classification, with F1 scores increased from 0.71 to 0.82 and 0.40 to 0.87, respectively. Furthermore, and through data fusion, the proposed framework accommodates estimating socioeconomic loss metrics at the individual building level, supporting both response and recovery phases. This research has the potential to enhance the effectiveness of rapid aerial damage assessment models, ultimately aiding in more efficient and targeted disaster response and recovery efforts. Data, models, and codes are available at https://github.com/TRG-AI4Good/Lahaina_Generalizability.

Baseline health parameters of rhinoceros auklets (Cerorhinca monocerata) using serum protein electrophoresis, acute phase proteins, and biochemistry.

Clinical metrics of baseline health in sentinel seabird species can offer insight into marine ecosystem dynamics, individual and population health, and assist in wildlife rehabilitation and conservation efforts. Protein electrophoresis is useful for detecting changes in acute phase proteins and immunoglobulin levels that may indicate subtle inflammatory responses and/or infectious disease. Serum biochemistry can highlight nutritional status, metabolic derangements, and organ injury and function. However, baseline values for such health parameters are largely unknown for many seabird species. Therefore, the objective of this study is to establish baseline clinical health reference intervals for serum protein electrophoresis, acute phase proteins including serum amyloid A and haptoglobin, and biochemistry parameters in the rhinoceros auklet (Cerorhinca monocerata), a key sentinel species in the North Pacific. From 2013 to 2019, 178 wild, apparently healthy breeding adult rhinoceros auklets were captured across four breeding colonies in British Columbia, Canada (Lucy Island, Pine Island, Triangle Islands, and SGang Gwaay) and from one colony in Washington, United States (Protection Island). Reference intervals were calculated for protein electrophoresis fractions and acute phase proteins (n = 163), and serum biochemistry (n = 35) following established guidelines by the American Society of Veterinary Clinical Pathology. Animals were also assessed for the presence of antibodies to the influenza A virus. Approximately 48% (70/147) of sampled birds were seropositive for influenza A virus, with a prevalence of 50% (6/12) in 2013, 75% (47/63) in 2014, and 24% (17/72) in 2019. This work provides clinical baseline health metrics of a key North Pacific sentinel species to help inform marine ecosystem monitoring, recovery, and rehabilitation efforts in the Pacific Northwest.

Unveiling Community Involvement Gaps in Toddler Stunting Recovery

Stunting remains a significant issue in Larangan Village, Candi District, Sidoarjo Regency, largely due to inadequate community participation in nutrition-related activities and low public awareness of posyandu services. This qualitative study analyzes community involvement in stunting recovery and identifies barriers to effective engagement. Data from interviews, observations, and documentation with key village figures indicate that while contributions from the village government, cadres, and midwives have improved, community enthusiasm and motivation remain low due to poor awareness and socio-economic challenges. Enhancing community education, improving socio-economic conditions, and fostering better organizational collaboration are crucial for improving stunting recovery efforts. Highlights: Community Engagement: Assessing local stakeholder contributions for toddler nutrition improvement. Awareness Gap: Identifying public knowledge gaps on posyandu services for stunting recovery. Socio-economic Barriers: Exploring economic challenges hindering community health initiative participation. Keywords: Stunting, Community Participation, Posyandu Services, Nutrition, Socio-economic Factors

The Impact of Human Activity Expansion on Habitat Quality in the Yangtze River Basin

Globally, natural habitats have suffered tremendous damage from human activities, a phenomenon that is increasingly evident in basin regions. The management of natural habitats in basin regions is dependent on understanding of the various impacts of human activities on these ecosystems. Despite the various studies that have been conducted on the effects of human activities on habitats in basin regions, there is still a lot of doubt regarding the impact of these activities on the quality of basin ecosystems. To fill this gap, this study employs a series of spatial analysis methods and logistic regression modeling to delve into the spatial and temporal patterns of human activities and habitat quality in the Yangtze River Basin (YRB) as well as the differences in the impacts of human activities on habitat quality in the sub-basins of the YRB. The findings indicate a 0.408% decline in the overall environmental quality of the YRB area from 2000 to 2020, accompanied by a 15.396% surge in human activities. Notably, the southeastern Qilian Mountains and the mountainous regions in the northwestern sector of the Sichuan Basin emerge as pivotal areas for habitat quality restoration. Conversely, the southwestern Qilian Mountains and the urban clusters in the Yangtze River Delta (YRD) face significant habitat quality deterioration. Spatial regression analyses reveal a noteworthy trend: the burgeoning human activities in the Yangtze River region pose a substantial threat to habitat recovery efforts. Further differential analyses focusing on the upper, middle, and lower basin segments underscore that human activities exert the most pronounced impact on habitat quality within the lower basin region, while the upper basin experiences the least influence. The implications of this study are manifold. It furnishes valuable policy insights for the comprehensive management and targeted preservation of habitats across the YRB. By delineating areas of habitat restoration and degradation and highlighting the differential impacts of human activities across basin segments, this research lays a solid foundation for informed decision making in habitat conservation and ecosystem management within the YRB.

Strengthening asset recovery efforts: A path to mitigating corruption in the public sector

Strengthening asset recovery efforts: A path to mitigating corruption in the public sector

Role of Investment Law in Indonesia's Economic Recovery Efforts

role of Investment Law in Indonesia's Economic Recovery Efforts