Impact Of Environmental Changes Research Articles

Ground collision avoidance system with multi-trajectory risk assessment and decision function

Abstract The traditional ground collision avoidance system (GCAS) makes avoidance decisions based on predicted collision time, without considering the impact of terrain environment and dynamic changes in load factor on avoidance decisions. This increases the risk of ground collisions for the aircraft. To solve the problem, a GCAS with multi-trajectory risk assessment and decision function is proposed. Firstly, a variety of predicted flight avoidance trajectories are established within the final manoeuvering capability of the aircraft. Secondly, for each predicted trajectory, the uncertain length between adjacent prediction points is used to construct a rectangular distance bin, and the terrain data below the avoided trajectory is extracted. Finally, the regret theory is used to establish a multi-attribute avoidance decision model to evaluate and prioritise the risk of collision avoidance trajectories, to provide effective collision avoidance decision for pilots. The algorithm is tested and verified with real digital elevation model and simulated flight data, and compared with traditional GCAS. Simulation results show that the proposed algorithm can comprehensively consider manoeuvering performance and threatening terrain, and provide safe and effective avoidance decisions for pilots.

초등학생들의 기초 읽기능력 향상에 미치는 요인

This study analyzed factors influencing elementary students' basic reading skills enhancement from teachers' perspectives, focusing on the impact of digital environment changes and diverse learning methods. Employing a mixed-methods approach, the research unfolded in two phases: analysis of students' Korean language scores and a teacher survey on reading skill improvement factors, followed by teacher interviews based on survey outcomes. Teachers identified three main factors contributing to the improvement of students' basic reading skills: strengthening teamwork through regular learning, lesson planning, and mutual support among teachers; sharing students' incremental achievement assessment results within the grade to identify areas of growth; and setting continuous improvement of reading skills and literacy enhancement as a primary goal at the school level. These findings indicate that teachers prioritize team-based learning and collaboration. Enhancing basic reading skills requires strengthening teacher collaboration, sharing achievement insights to identify growth areas, and establishing literacy improvement as a school-wide goal, necessitating specific educational strategies and policies.

Climate and biodiversity change constrain the flow of cultural ecosystem services to people: A case study modeling birding across Africa under future climate scenarios

Global change is currently impacting ecosystems and their contributions to people (i.e. ecosystem services). These impacts have consequences for societies and human well-being, especially in Africa. Historically, efforts have focused on assessing global change from a social or biophysical perspective, treating them as separate entities. Yet, our understanding of impacts to social-ecological systems remains limited, particularly in the Global South, due to a lack of data, tools, and approaches accounting for social and ecological aspects of ecosystem services. This is especially relevant for cultural ecosystem services as they are less tangible. We use a simple indicator and important provider of a multitude of cultural ecosystem services, birding, to understand how climate, biodiversity, and land use change will impact cultural ecosystem services across Africa. We explore how emerging tools and data can overcome limitations in mapping and modeling cultural ecosystem services, particularly in analyzing human preferences and behavior at large spatiotemporal scales and in data-poor regions. Leveraging crowdsourced data from eBird and using machine learning techniques we map and model recreational birding to assess the underlying social-ecological relationships and the impact of future climate and environmental change. We show that bird species richness, protected areas, accessibility, and max temperature contribute most to birding suitability across the continent. Further, we show spatial shifts in the suitability of birding under three future climate scenarios (SSP126, 370, and 585). Models suggest climate and biodiversity change will increasingly constrain the flow of birding related cultural ecosystem services across Africa. This has implications for human-nature interactions, development of countries, management of protected areas, and overall human well-being in the future. More generally, we highlight opportunities for crowdsourced datasets and machine learning to integrate non-material ecosystem services in models and thus, enhance the understanding of future impacts to ecosystem services and human well-being.

Adaptive Evolution of Nearctic Deepwater Fish Vision: Implications for Assessing Functional Variation for Conservation.

Intraspecific functional variation is critical for adaptation to rapidly changing environments. For visual opsins, functional variation can be characterized in vitro and often reflects a species' ecological niche but is rarely considered in the context of intraspecific variation or the impact of recent environmental changes on species of cultural or commercial significance. Investigation of adaptation in postglacial lakes can provide key insight into how rapid environmental changes impact functional evolution. Here, we report evidence for molecular adaptation in vision in 2 lineages of Nearctic fishes that are deep lake specialists: ciscoes and deepwater sculpin. We found depth-related variation in the dim-light visual pigment rhodopsin that evolved convergently in these 2 lineages. In vitro characterization of spectral sensitivity of the convergent deepwater rhodopsin alleles revealed blue-shifts compared with other more widely distributed alleles. These blue-shifted rhodopsin alleles were only observed in deep clear postglacial lakes with underwater visual environments enriched in blue light. This provides evidence of remarkably rapid and convergent visual adaptation and intraspecific functional variation in rhodopsin. Intraspecific functional variation has important implications for conservation, and these fishes are of conservation concern and great cultural, commercial, and nutritional importance to Indigenous communities. We collaborated with the Saugeen Ojibway Nation to develop and test a metabarcoding approach that we show is efficient and accurate in recovering the ecological distribution of functionally relevant variation in rhodopsin. Our approach bridges experimental analyses of protein function and genetics-based tools used in large-scale surveys to better understand the ecological extent of adaptive functional variation.

A DNA-barcoding-based approach to quantitatively investigate larval food resources of cavity-nesting wasps from trap nests

Artificial nesting resources, also known as trap nests, have proven to be an ideal method for monitoring cavity-nesting bees and wasps, their collected food resources, and natural enemies. Nowadays, trap nests are frequently used to assess responses to environmental and biodiversity changes based on multi-trophic interaction networks. Here, we reconstructed quantitative trophic interaction networks of five apoid wasps (Trypoxylon clavicerum, Passaloecus corniger, Passaloecus gracilis, Psenulus fuscipennis, Isodontia mexicana and two vespid wasp species (Ancistrocerus nigricornis, Microdynerus parvulus) using DNA barcoding. Sampling the nests during their construction period allowed us to give an accurate count and identification of the provided food items. We recovered highly resolved bi- and tripartite networks including wasp-beetle larva, wasp-cricket, natural enemy-wasp-moth larva, natural enemy-wasp-spider, and natural enemy-wasp-aphid associations. The latter include aphid species that are known as agricultural and forest pests. Although the quantitative sampling of nests entails increased time costs, it enables not only high-quality DNA barcoding but also to reconstruct quantitative interaction networks. Thus, our approach is a highly promising monitoring tool for gaining deeper knowledge on the ecology, habitat requirements and the impact of environmental and biodiversity change on cavity-nesting bees and wasps.

A novel process control method for remote calibration based on improved multiscale permutation entropy and dynamic Hotelling’s T2 control chart

Remote calibration (RC) is a new promising technology for electric power instrument calibration. However, due to the inevitable impact of external environmental changes and internal insulation aging during the transportation, installation, and measurement processes involved in RC, the metrological performance of relevant instruments may deteriorate. Therefore, quality control of electric power instruments during RC is of great significance. In this paper, a novel process control method for RC is proposed. First, from the physical characteristic perspective, an improved multiscale permutation entropy (IMPE) algorithm is designed to detect the complexity change point of the instrument system. Second, from the statistical characteristic perspective, a dynamic multivariable Hotelling’s T2 control chart (DMHTCC) is developed to detect the outliers within a time series measurement signal. Finally, a fusion scheme of IMPE and DMHTCC is presented to promote the validity and reliability of process control. The effectiveness of the proposed approach and its superiority over some traditional process control techniques is demonstrated through both simulative and experimental case studies.

The interplay between bacterial biofilms, encrustation, and wall shear stress in ureteral stents: a review across scales

Ureteral stents are hollow tubes that are inserted into the ureter to maintain the flow of urine from the kidney to the bladder. However, the use of these indwelling stents is associated with potential complications. Biofilm, an organized consortium of bacterial species embedded within a self-producing extracellular matrix, can attach to the outer and inner surfaces of ureteral stents. Furthermore, encrustation - defined as the buildup of mineral deposits on the stent surface - can occur independently or in parallel with biofilm formation. Both phenomena can cause stent obstruction, which can lead to obstructive pyelonephritis and make stent removal difficult. Understanding the influence of flow on the development of biofilm and encrustation and the impact of small mechanical environmental changes (e.g., wall shear stress distribution) is key to improve the long-term performance of stents. Identifying the optimal stent properties to prevent early bacterial attachment and/or crystal deposition and their growth, would represent a breakthrough in reducing biofilm-/encrustation-associated complications. This review identifies the most prevalent bacterial strains and crystal types associated with ureteral stents, and the process of their association with the stent surface, which often depends on patient comorbidities, stent material, and indwelling time. Furthermore, we focus on the often-overlooked role of fluid dynamics on biofilm and encrustation development in ureteral stents, across a range of physical scales (i.e., from micro- to macro-scale) with the aim of providing a knowledge base to inform the development of safer and more effective ureteral stents.

Bah Bolon River 1980-2023: The History of Pollution and River Used

The existence of the Bah Bolon River is related to the surrounding community. This study was diachronic research on the history and dynamics of the Bah Bolon River from 1980-2023. Bah Bolon River is related to environmental, social and economic changes in terms of river pollution. This study aimed to invent information on the condition of the Bah Bolon River in Pematang Siantar City, North Sumatra in 1980-2023 with a focus on pollution of the Bah Bolon River and its use for the surrounding community. The method used was a historical method which consists of four stages, namely heuristics, criticism, interpretation, and historiography. Data collection was carried out through a literature review and in-depth interviews. Literature data was taken from official documents and articles regarding the Bah Bolon River from 1980-2023. In-depth interviews were conducted with informants who met the criteria of (1) full enculturation; (2) direct involvement; (3) unfamiliar cultural atmosphere; (4) sufficient time; and (5) non-analytic. The chronological analysis carried out includes the transformation of river flows, the use of water resources, and their impact on the lives of local communities. The results showed that there were changes in land use, social structure, and community economy over time. These findings contribute to a deep understanding of the dynamics of the Bah Bolon River in the 1980s, creating a foundation for evaluating the impact of environmental change on human life. The results of this research contribute to the understanding of environmental history, social change, and community adaptation to ecological change. The implications of this research can be used as a basis for future environmental conservation and water resource management policies while exploring the historical and heritage value of the Bah Bolon River.

Artificial neuronal networks are revolutionizing entomological research

AbstractThe application of artificial intelligence (AI) in entomological research has gained significant attention in recent years. This review summarizes the current state of research on the potential of AI methods in various subfields of entomology, such as behavioural biology, biodiversity research, climate change research, pest management, and disease vector control. In some cases, AI‐based species identification methods based on deep learning neuronal network models have been shown to outperform traditional morphological identification methods in terms of accuracy and speed. Behavioural biology research has been enhanced through the use of AI‐based tracking systems that can classify insect behaviour and movement patterns. Habitat modelling has also been improved with the use of AI, allowing for the creation of more accurate models that can predict insect distribution and abundance. Climate change and biodiversity research have benefited from AI‐driven tools that can analyse large datasets and predict the impact of environmental changes on insect populations. In agriculture, pest management has been revolutionized by AI methods, with the development of smart traps and monitoring systems that can detect and identify pest species in real‐time, enabling targeted control measures. Disease vector control has also been improved through the use of AI‐based predictive models, which can identify areas at risk of disease transmission and aid in the development of effective control strategies. In conclusion, AI methods have the potential to revolutionize many aspects of entomological research. Future research should focus on developing more sophisticated AI tools and integrating them into entomological research to address even more complex ecological questions.

Impact of environmental change on crop yield case study of the Trans-Baikal region

This study analyzes the impact of climatic conditions on the development of grain and leguminous crops in the Trans-Baikal region. Insufficient precipitation, droughts, early frosts, and a short growing season limit the choice of crops suitable for cultivation in the region. Grain crops, which occupy the largest share of sown areas, are chosen as the object of research. Based on theoretical and economic analysis and data on sown areas, yield, average temperature, and precipitation during the growing season, a regression model has been constructed to assess the impact of climatic factors on the gross grain harvest in the Trans-Baikal region.

Leading the way – presence of brown bear <i>Ursus arctos</i>, lynx <i>Lynx lynx</i> and grey wolf <i>Canis lupus</i> underlines the integrity and corridor function of the upper Neretva Valley in Bosnia and Herzegovina

Despite its connecting character to the Sutjeska National Park in the North-East, the course of the upper Neretva (Ulog and Borač valley) in Bosnia and Herzegovina (BiH), has to date not been an area of focus for carnivore research. With the aim of contributing to an improved understanding of the present distribution of large and endangered carnivores in this area, a field survey was conducted during the Neretva Science Week 2022. Opportunistic data collection was carried out along a predefined road transect (20 km) and six line transects (13 km) tracked by foot. Additionally, reports of mammal signs for six corresponding research sites along the Neretva were registered. Altogether, at least 15 mammal species could be distinguished. From the identified carnivores, four are listed in Annex II of the Habitats Directive. Furthermore, the signs of lynx presence, in addition to brown bear and grey wolf, highlight the connectivity value of the upper Neretva in its current state. Based on information from local practitioners, the main threats to large carnivores are hunting pressure and a negative perception as competitors. A likely decline in habitat quality and fragmentation, due to the planned hydropower plants expansion and logging activities, exacerbate these threats. Consequently, further systematic monitoring is recommended to assess the possible impact of human driven environmental changes.

Stable isotopes from herbarium specimens reveal physiological responses of plants to global change

Investigating the impacts of global environmental change on plants remains a challenge. Experiments that scale from leaf to ecosystem have provided important insights into the ways plants and ecosystems respond to changing environmental drivers. Yet, experiments are often short-lived and can not realistically simulate long-term environmental changes. Monitoring programs and historical observations are thus valuable alternatives for studying the impact of environmental change on plants. These are, however, unfortunately rare and often poorly suited to identify the mechanistic and physiological basis by which changes in the environment impact plant life. Analyses of biological collections and in particular herbarium materials could be a valuable complementary approach that allows assessing functional responses of plants to global environmental change.

Plant responses to temperature stress modulated by microRNAs

AbstractDue to the increasing impact of worldwide environmental changes, temperature stress has become a major factor resulting in crop yield losses. The discovery of temperature‐stress‐responsive protein‐coding genes has made significant progress in understanding plants' complex stress response systems involving microRNAs (miRNAs). The miRNAs are triggered by heat or cold, thus confirming their significant functional role in cold or heat tolerance. Such dependable recommendations significantly broaden our understanding of the regulatory role of miRNAs in plant stress responses. This article presents novel perspectives on the substantial roles of plant miRNAs in responding to and acclimatizing to heat and cold stress. It comprehensively elaborates on miRNAs responsive to temperature stress, their regulatory mechanisms, and their targeted functions in plants. Additionally, the article investigates how miRNAs contribute to safeguarding plant reproductive tissues, mitigating damage caused by reactive oxygen species, modulating heat shock proteins, transcription factors, and phytohormones in the context of temperature stress. The conclusion outlines potential avenues for future research, highlighting the utilization of miRNAs and their regulatory functions to develop economically vital crops with enhanced tolerance to temperature stress, thereby ensuring future food security.

Research progress on ecology and sustainable development of Guilin Lijiang River Basin, China, based on bibliometric analysis.

Guilin is a typical representative of karst landform in South China. Because of its unique geographical landform and hydrological environment, Lijiang River Basin has received a certain degree of attention in field of ecology and sustainable development. Explore and visualize the hotspots and frontiers of Guilin Lijiang River Basin Ecology and Sustainable Development (GLRBESD) by using bibliometrics, CiteSpace, and VOSviewer. Results showed that number of published papers was in a fluctuating upward trend from 1992 to 2022 and from 2011 to 2022, respectively. Work of scholars in this field has been continuously strengthened and deepened, and overall scientific research results show an increasing trend. Research objects and topics are mainly aimed at the water resources, climate, and environment of GLRB Landscape ecology and SDG index construction. Research of GLRBESD-published documents has the characteristics of multi-disciplinary and interdisciplinary integration. High-frequency keywords in research field focus on ecotourism, ecological restoration, and sustainable development, mainly based on the research of ecotourism development. Impact of environmental factor changes and human activities on land use change in different periods is an important research topic. Core research field of GLRBESD on macro-scale can be divided into ESV and function, ecological compensation and ecotourism, ecological environment and ecological restoration, ecological network and ecological risk assessment, and sustainable development. This research provides systematic scientific research basis for enhancing sustainable development ability and ecosystem functions and services of World Natural Heritage Site.

Controls on long-term changes in bathyal bivalve biomass: The Pleistocene glacial–interglacial record in the eastern Mediterranean

The biomass of aquatic organisms largely determines the mass and energy flow within an ecosystem, but the long-term impact of environmental change on biomass is not well constrained for a number of clades. Here, we test the hypothesis that bivalve biomass is negatively impacted by warming climate over time. This study is based on a fossil marine bivalve fauna recovered from hemipelagic sediments deposited in the eastern Mediterranean during climate cycles (marine isotope stages (MIS) 22–18; 900–712 kyr B.P.) of the Early–Middle Pleistocene Transition. We reconstruct individual shell biomasses from fossils and discuss the various biotic and abiotic factors that controlled long-term shell biomass patterns across this important interval in the Earth climate system. The results are contrary to the original hypothesis, suggesting that the response to temperature is not universal. Nevertheless, a decrease in median biomass is observed during the MIS 19 warm period and can be possibly attributed to the combined effect of multiple drivers that cooperated at that critical time in the past, including higher temperature and primary productivity, reduced ventilation of the sea floor, biodiversity changes due to geographic range shifts, and considering species- and age-specific thermal tolerances. Generally, bivalve biomass at the community level is determined by relative abundance and shell biomass-frequency distribution. In our study, the relative abundance and median biomass of small species do not increase or decrease, respectively, in warmer periods. However, larger species are negatively affected by warming both in terms of relative abundance and biomass.

Ratiometric Lanthanide Metal‐Organic Frameworks (MOFs) for Smartphone‐Assisted Visual Detection of Food Contaminants and Water: A Review

AbstractDeveloping a reliable portable biosensor is crucial for ensuring food safety and human health. This involves accurately detecting contaminants in food and water at their source. Smartphone cameras have recently become useful for capturing color or fluorescence changes that occur when a probe interacts with specific molecules on paper or in a chemical solution. Ratiometric designs, which self‐calibrate and minimize the impact of environmental changes, are gaining popularity. These designs rely on color changes or fluorescence shifts, which are easily assessable with smartphones. This overview highlights advances in ratiometric optical sensing using Metal‐organic frameworks (MOFs) with lanthanide components coupled with smartphones. These advancements allow contaminants in food and water to be visually identified. The article explains the principles, properties, and applications of color changes for visual detection in food safety. Using lanthanide metal‐organic frameworks with smartphones offers a potent method to detect contaminants, enhancing food safety and safeguarding human health.

Linking microbiome and stress hormone responses in wild tropical treefrogs across continuous and fragmented forests

The amphibian skin microbiome is an important component of anti-pathogen defense, but the impact of environmental change on the link between microbiome composition and host stress remains unclear. In this study, we used radiotelemetry and host translocation to track microbiome composition and function, pathogen infection, and host stress over time across natural movement paths for the forest-associated treefrog, Boana faber. We found a negative correlation between cortisol levels and putative microbiome function for frogs translocated to forest fragments, indicating strong integration of host stress response and anti-pathogen potential of the microbiome. Additionally, we observed a capacity for resilience (resistance to structural change and functional loss) in the amphibian skin microbiome, with maintenance of putative pathogen-inhibitory function despite major temporal shifts in microbiome composition. Although microbiome community composition did not return to baseline during the study period, the rate of microbiome change indicated that forest fragmentation had more pronounced effects on microbiome composition than translocation alone. Our findings reveal associations between stress hormones and host microbiome defenses, with implications for resilience of amphibians and their associated microbes facing accelerated tropical deforestation.

Water supply following drought: Effects on drougt legacy and resilience in a tropical forest - A case study in Xishuangbanna, China

Climate change has made it essential to understand the effects of drought on carbon dynamics in tropical forest ecosystems. However, research on the postdrought (PD) period is relatively limited, particularly with regard to the resilience of the carbon cycle affected by available water. To determine the effects of water availability during PD on resilience and legacy effects in tropical forests, we used a spatially explicit individual-based dynamic global vegetation model (SEIB-DGVM) to simulate gross primary productivity (GPP) to proxy the process. We established multiple water supply scenarios based on ecological water demands and regional climatic standard precipitation through the composite of gradients in quantity and duration to characterize variations in environmental water availability after droughts end. Under different PD water supply patterns, the degree of GPP resilience and its legacy effects varied significantly. Specifically, ecosystem resilience to drought was positively correlated with the percentage of PD water supply and negatively correlated with the duration until water conditions returned to normal, while the negative legacy effect of drought on GPP exhibited the opposite relationship. After a drought, a rapid high-level water supply promoted stronger GPP resiliency and moderated the drought legacy effects. Although legacy effects varied with water supply patterns, the negative legacy effect on GPP appeared only in the first year after drought. Observing biomass changes in roots, leaves, woody plants, and herbaceous plants after droughts, it is clear that tropical forest ecosystems can adjust their carbon allocation strategies in response to differences in water availability. To more accurately predict the fate of tropical forests in response to climate change, it is necessary to assess the impact of PD environmental climate condition changes on their dynamic resilience processes.

Exploring the impact of environmental exposure changes on metabolic biomarkers: A 6-month GPS-GIS study among women with overweight or obesity

BackgroundLittle is known about the impact of environmental exposure change on metabolic biomarkers associated with cancer risk. Furthermore, this limited epidemiological evidence on metabolic biomarkers focused on residential exposure, without considering the activity space which can be done by modelling dynamic exposures. In this longitudinal study, we aimed to investigate the impact of environmental exposures change on metabolic biomarkers using GPS-GIS based measurements. MethodsAmong two weight loss interventions, the Reach for Health and the MENU studies, which included ∼460 women at risk of breast cancer or breast cancer survivors residing in Southern California, three metabolic biomarkers (insulin resistance, fasting glucose, and C-reactive protein) were assessed. Dynamic GPS-GIS based exposure to green spaces, recreation, walkability, NO2, and PM2.5 were calculated at baseline and 6 months follow-up using time-weighted spatial averaging. Generalized estimating equations models were used to examine the relationship between changes in environmental exposures and biomarker levels over time. ResultsOverall, six-month environmental exposure change was not associated with metabolic biomarkers change. Stratified analyses by level of environmental exposures at baseline revealed that reduced NO2 and PM2.5 exposure was associated with reduced fasting glucose concentration among women living in a healthier environment at baseline (β −0.010, 95%CI -0.025, 0.005; β −0.019, 95%CI -0.034, −0.003, respectively). Women living in poor environmental conditions at baseline and exposed to greener environments had decreased C-reactive protein concentrations (β −1.001, 95%CI -1.888, −0.131). ConclusionsThe impact of environmental exposure changes on metabolic biomarkers over time may be modified by baseline exposure conditions.

Healthy lives and well-being for all at all ages: expanding representations of determinants of health within systems dynamics and integrated assessment models

Integrated Assessment Models (IAMs) and System Dynamic Models (SDMs) are starting to incorporate representations of the impact of environmental changes on health and socio-economic development into their modelling frameworks. We use this brief review to provide an overview of how health and well-being are currently represented in IAMs and SDMs. A grey literature search on 12 selected model host websites and their corresponding Wiki pages was conducted. Model descriptions, coverage and publications were then tabulated. Additional potential determinants related to health were then suggested based on emerging environmental health literature. Based on these tabulations, it was determined that many individual health outcomes are not represented and thus not analyzed. Social well-being is not represented at all. Additionally, potentially health relevant determinants such as chemical or metal exposure and water pollution are rarely represented in models. Most models have representations of climate, outdoor air pollution and food availability. Air pollution was the most analyzed determinant, especially in relation to its respiratory effects. We suggest that future modelers incorporate more representations of environmental determinants influencing health, and to analyze all available determinants in relation to a wider array of health outcomes. Perhaps, if and when broader determinants of health are represented in IAMs and SDMs, then a composite of these determinants could be used to determine a population’s ability to achieve elements that also contribute to social well-being.