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Copyright of Ciencia y Educación (2707-3378) is the property of Duanys Miguel Pena Lopez and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

An assessment is made the biological and economical chemical indicators of 11 samples Burley tobacco, which 10 new promising hydrides in first generation and standard Pliska 2002 variety. As a result, the study found that the most favorable biometric indicators is presented Hybrid 1595A. With the short vegetative period is characterized Hybrid 1594, and the longest such – standard Pliska 2002 variety. All new selection lines excel at length of the vegetative period standard Pliska 2002 variety. The highest yield is represented by Hybrid 1595A, followed by Hybrid 1593. The highest percentage of first grade is derived from Hybrid 1593А, which gives the lowest percentage of third grade. With favorable ratio of grades is formed and Hybrid 1593. All new lines superior the standard variety Pliska 2002, to as yield, so and percentage of first grade. The studied hybrids, according to their biometric indicators, are grouped into two clusters, and two main components influence the clustering of the hybrids and explain 77.17% of the total variation. Depending on their economic indicators, the hybrids are arranged in two clusters, and in them, too, two main components are the cause of 89.27% of the total variation. Complex assessment of biological and economic indicators shows that with the best parameters differs Hybrid 1593, and work with it should continue with production testing. All new lines superior the standard variety Pliska 2002, to as yield, so and percentage of first grade, which is an indicator of the success of the selection work. [ABSTRACT FROM AUTHOR]

River and lake health assessment (RLHA) is an important approach to alleviating the conflict between protecting river and lake ecosystems and fostering socioeconomic development, aiming for comprehensive protection, governance, and management. Vegetation, a key component of the riparian zone, supports and maintains river and lake health (RLH) by providing a range of ecological functions. While research on riparian zone vegetation is ongoing, these studies have not yet been synthesized from the perspective of integrating RLHA with the ecological functions of riparian zone vegetation. In this paper, based on the bibliometric method, the relevant literature studies on the topics of RLHA and unmanned aerial vehicle (UAV) remote sensing of vegetation were screened and counted, and the keywords were highlighted, respectively. Based on the connotation of RLH, this paper categorizes the indicators of RLHA into five aspects: water space: the critical area from the river and lake water body to the land in the riparian zone; water resources: the amount of water in the river and lake; water environment: the quality of water in the river and lake; water ecology:aquatic organisms in the river and lake; and water services:the function of ecosystem services in the river and lake. Based on these five aspects, this paper analyzes the key role of riparian zone vegetation in RLHA. In this paper, the key roles of riparian zone vegetation in RLHA are summarized as follows: stabilizing riverbanks, purifying water quality, regulating water temperature, providing food, replenishing groundwater, providing biological habitats, and beautifying human habitats. This paper analyzes the application of riparian zone vegetation ecological functions in RLH, summarizing the correlation between RLHA indicators and these ecological functions. Moreover, this paper analyzes the advantages of UAV remote sensing technology in the quantitative monitoring of riparian zone vegetation. This analysis is based on the high spatial and temporal resolution characteristics of UAV remote sensing technology and focuses on monitoring the ecological functions of riparian zone vegetation. On this basis, this paper summarizes the content and indicators of UAV quantitative remote sensing monitoring of riparian zone vegetation for RLHA. It covers several aspects: delineation of riparian zone extent, identification of vegetation types and distribution, the influence of vegetation on changes in the river floodplain, vegetation cover, plant diversity, and the impact of vegetation distribution on biological habitat. This paper summarizes the monitoring objects involved in monitoring riparian zones, riparian zone vegetation, river floodplains, and biological habitats, and summarizes the monitoring indicators for each category. Finally, this paper analyzes the challenges of UAV quantitative remote sensing for riparian zone vegetation at the current stage, including the limitations of UAV platforms and sensors, and the complexity of UAV remote sensing data information. This paper envisages the future application prospects of UAV quantitative remote sensing for riparian zone vegetation, including the development of hardware and software such as UAV platforms, sensors, and data technologies, as well as the development of integrated air-to-ground monitoring systems and the construction of UAV quantitative remote sensing platforms tailored to actual management applications. [ABSTRACT FROM AUTHOR]

Grasslands provide a wide range of provision, support, regulation, and cultural ecosystem services (ESs), whose valuation methods can be grouped into three categories (ecological, sociocultural, and economic). The present manuscript aims to provide an overview of academic studies on grassland ESs and of the most used economic evaluation methods. To this end, a systematic and bibliometric review was conducted using the scientific database Scopus and the VOSviewer software. The results highlighted that China and the USA were the main countries with the highest number of publications regarding ESs provided by grasslands. The number of publications began to grow starting in 2005, thanks, perhaps, to the publication of influential documents, such as the Millennium Ecosystem Assessment, and the general increase in interest in ecological policy issues. The year 2023 had the highest number of documents in absolute (646), demonstrating the timeliness, importance, and relevance of this research topic. The most studied grassland ES has been carbon storage; however, a central role was played also by biodiversity. In this context, papers that estimated grassland ESs from an economic perspective represented only 3% of all papers that Scopus has returned. More than half of these referred to the use of equivalent coefficients to calculate the ES value of different land uses/land cover categories or, at most, of 11 types of ES. All this highlights the difficulty in estimating individual ESs provided by grasslands from an economic point of view and the greater propensity to use physical, chemical, and biological indicators. Consequently, the sustainable management of grasslands requires more studies on the economic evaluation of their ES, as well as environmental aspects in the economic accounting of governments, or to implement a support system for farms in delivering various ecosystem services. [ABSTRACT FROM AUTHOR]

The literature on reliable indices, suitable bio-indicators, taxonomic level, frequency of measurements, and replications on benthic macroinvertebrates remains scarce in Malaysia. In addition, no review study was conducted using bibliometric analysis related to this discipline. Thus, this review aimed at gap and bibliometric analysis of publications on benthic macroinvertebrates as potential biological indicators. Sixty-six relevant scientific research papers from 2011 to 2022 were selected from the different databases. Then, descriptive and inferential statistical analyses were performed to assess the most reliable potential bio-indicators for river assessment and monitoring. Visualized statistics regarding bibliographic coupling analysis of authors, journal proceedings, and organizations were analyzed. The findings revealed that publications on invertebrates had no significant relationship in the last ten years (r = 0.241; p > 0.05). Most publications on macroinvertebrates in Malaysian rivers were found in the Scopus database (53.57%). Therefore, research articles must be published in journals included in the Journal Citation Report (JCR) to improve their quality further. Besides, benthic macroinvertebrates are commonly identified only up to the family level (47%) due to incomplete tropical benthic macroinvertebrates identification keys. As such, using environmental DNA methods with the power of next-generation sequencing has come in handy in bio-indicator species identification. Among the potential bio-indicators found in Malaysian rivers are Chironomidae (9.11%), Baetidae (8.87%), and Hydropsychidae (8.62%). Based on the approaches utilized in analyzing benthic macroinvertebrates as bio-indicators, in-depth research such as bioassay and toxicology tests is necessary to realize the potential bio-indicators fully. Many studies focused on recreational rivers in Peninsular Malaysia. Therefore, research studies would be expanded to urban rivers and rivers in Sabah and Sarawak. Also, to overcome the limitation of the single biotic index, developing a multimetric index to evaluate the water quality by selecting many river basins is essential. Bibliographic analysis showed that the Institute for Tropical Biology and Conservation, Universiti Malaysia Sabah, made the greatest total link strength. The Serangga Journal published the highest number of research articles. Finally, utilizing advanced technologies is recommended to address Malaysia's lack of potential bio-indicator studies. [ABSTRACT FROM AUTHOR]

As a highly concentrated residential area, urban development and population concentration have caused serious environmental pollution problems that threaten the safety of the water and atmospheric resources that humans rely on for survival. To address this issue, the importance of urban green space (UGS) has become increasingly prominent. This paper collected data related to UGS (green space coverage, vegetation type, environmental quality, population distribution, etc.) for processing, used the entropy algorithm to build an ecological environment assessment model, and then used the particle swarm optimisation algorithm to optimise the model accordingly. Finally, a decision support system was proposed for UGS ecological environment planning, which comprehensively considered future environmental changes. Through comparison before and after the application of decision support system, this paper tested and verified several indicators such as green space coverage, biological diversity index, and climate adaptability. Among them, after the application of the decision support system, the green space coverage rate has increased year by year, and many indicators in the biological diversity index have improved significantly. The average climate adaptability of traditional UGS planning was 70 %, while the average climate adaptability of decision support system green space planning was 90 %, which has been significantly improved. The outcome shows that the system has a notable effect in improving the climate adaptation and ecological quality of the city. [ABSTRACT FROM AUTHOR]

Copyright of Acta Scientiarum Polonorum. Formatio Circumiectus is the property of Wydawnictwo Uniwersytetu Rolniczego im. Hugona Kollataja w Krakowie and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

As a major coal-producing area, the Shanxi section of the Yellow River Basin has been significantly affected by coal mining activities in the local ecological environment. Therefore, an in-depth study of the ecological evolution in this region holds great scientific significance and practical value. In this study, the Shanxi section of the Yellow River Basin, including its planned coal mining area, was selected as the research subject. An improved remotely sensed ecological index model (NRSEI) integrating the remotely sensed ecological index (RSEI) and net primary productivity (NPP) of vegetation was constructed utilizing the Google Earth Engine platform. The NRSEI time series data from 2003 to 2022 were calculated, and the Sen + Mann–Kendall analysis method was employed to comprehensively assess the ecological environment quality and its evolutionary trends in the study area. The findings in this paper indicate the following data: (1) The contribution of the first principal component of the NRSEI model is more than 70%, and the average correlation coefficient is higher than 0.79. The model effectively integrates the information of multiple ecological indicators and enhances the applicability of regional ecological environment evaluation. (2) Between 2003 and 2022, the ecological environment quality in the Shanxi section of the Yellow River Basin showed an overall upward trend, with the average NRSEI value experiencing phases of fluctuation, increase, decline, and stabilization. The NRSEI values in non-coal mining areas consistently remained higher than those in coal mining areas. (3) Over 60% of the areas have improved ecological conditions, especially in coal mining areas. (4) The impact of coal mining on the ecological environment is significant within a 6 km radius, while the effects gradually diminish in the 6 to 10 km range. This study not only offers a reliable methodology for evaluating ecological environment quality on a large scale and over a long time series but also holds significant guiding value for the ecological restoration and sustainable development of the Shanxi section of the Yellow River Basin and its coal mining area. [ABSTRACT FROM AUTHOR]

Lake Taihu, a subtropical shallow lake in the Yangtze River Basin, is the third-largest freshwater lake in China. It serves not only as a crucial source of drinking water and an ecological resource but also holds significant economic, tourism, and fisheries value. Phytoplankton, a vital component of aquatic ecosystems, plays a critical role in nutrient cycling and maintaining water structure. Its community composition and concentration reflect changes in the aquatic environment, making it an important biological indicator for monitoring ecological conditions. Understanding the impact of water quality on phytoplankton is essential for maintaining ecological balance and ensuring the sustainable use of water resources. This paper focuses on Lake Taihu, with water samples collected in February, May, August, and November from 2011 to 2019. Using quantile regression, a robust statistical analysis tool, the study investigates the heterogeneous effects of water quality on phytoplankton and seasonal variations. The results indicate significant seasonal differences in water quality in Lake Taihu, which substantially influence phytoplankton, showing weakly alkaline characteristics. When phytoplankton concentrations are low, pondus hydrogenii (pH), chemical oxygen demand (COD), total phosphorus (TP), total nitrogen (TN), water temperature (WT), and conductivity significantly affect them. At medium concentrations, COD, TP, TN, and WT have significant effects. At high concentrations, transparency and dissolved oxygen (DO) significantly impact phytoplankton, while TP no longer has a significant effect. These findings provide valuable insights for policymakers and environmental managers, supporting the prevention and control of harmful algal blooms in Lake Taihu and similar aquatic systems. [ABSTRACT FROM AUTHOR]

Global policies increasingly focus on the importance of maintaining or improving the integrity of ecosystems, but defining, assessing, and monitoring integrity in marine protected areas (MPAs) remains a challenge. In this paper, we conceptualized ecological integrity along dimensions of heterogeneity and stability containing seven components: physical structure, diversity, function, persistence, resistance, resilience, and natural variability. Through a structured literature search, we identified indicators and metrics used for quantifying ecosystem status components in the marine environment, then reviewed MPA management plans worldwide for inclusion of these components. We evaluated 202 papers applying 83 ecological indicators built from 72 metrics. Ecosystem components were most comprehensively addressed by metrics of taxa presence, organisms count, and area occupied by benthic organisms, and community structure, biomass, and percent cover indicators. Of the 557 MPA management plans we reviewed globally, 93% used at least one ecosystem status term or its synonym in an ecologically relevant context, but 39% did not address any components of stability. In particular, resistance was mentioned in only 1% of management plans, but in some cases it may be inferred from indicators and metrics used to track the best addressed component in management plans, diversity. Plans for MPAs with both an ecological/biological purpose and a research and education purpose contained ecosystem status terms more frequently than other plans, suggesting that engagement with the scientific community may have improved the application of these terms. An improved understanding of how to operationalize and measure ecological integrity can help MPA monitoring and management. [ABSTRACT FROM AUTHOR]

International organizations like the EU and IUCN are advocating for nature-based solutions (NBSs) as green alternatives for climate change adaptation and mitigation, especially in disaster risk reduction and urban planning. The H2020 OPERANDUM project was designed to address the major hydro-meteorological risks (floods, droughts, landslides, storm surge, and coastal erosions) through the deployment and assessment of NBSs in different contexts and areas affected by specific hazards. Despite growing research and funding, NBSs are still in the early stages of mainstream adoption and face challenges in acceptance and dissemination. Although designed to benefit both social and ecological systems, they remain a niche area with low perceived effectiveness among technicians and decision-makers. Their uptake requires a paradigm shift that includes a change in cultural-cognitive institutions, a different and wider set of knowledge than traditional engineering (ecological, social), and an adaptive management approach, missing within the current governance system. Using a qualitative case study research method, this paper aims to identify barriers in mainstreaming NBSs for DRR (disaster risk reduction) in the Emilia-Romagna region—influenced not only by individual beliefs but also by variables tied to technical culture and local procedural norms—and emphasizing the importance of combining social and ecological indicators in socio-ecological system analysis. [ABSTRACT FROM AUTHOR]

Ephemeroptera nymphs are globally recognized for their sensitivity to decreased oxygen levels in aquatic habitats, leading to their frequent use as biological indicators in various monitoring projects worldwide. However, studies utilizing Ephemeroptera in Indonesia have remained largely unknown. This study aims to document the use of Ephemeroptera as bioindicators for assessing surface water quality status in Indonesia. This includes understanding their distribution and the types of surface water habitats that have been investigated using this order as an indicator. There are 47 published papers utilizing Ephemeroptera as a bioindicator for assessing surface water health in Indonesia which were gathered through Google Scholar. Bioindicator studies utilizing Ephemeroptera in Indonesia have only emerged in the last decade. Currently, research on Ephemeroptera as bioindicators for surface waters has predominantly focused on Java Island. Regions on other islands remain relatively understudied, particularly in eastern Indonesia. River habitats lead in the number of observed habitat types. With this knowledge, future research on utilizing Ephemeroptera as bioindicators should prioritize areas beyond Java Island and focus on habitat types that have been less explored, including irrigation canals, paddy fields, waterfalls, wetlands, and springs. [ABSTRACT FROM AUTHOR]

The subject of this study is sustainable development accounting, particularly its role in shaping environmental and social indicators of enterprises. The paper pays special attention to the issue of insufficient integration of environmental and social aspects into conventional financial accounting. It identifies the need to devise methodologies that include social and ecological indicators in financial reporting, to provide a more comprehensive understanding of the impact of enterprise activities on society and the environment. The results demonstrate that the implementation of sustainable development accounting allows for a comprehensive assessment of the financial, social, and environmental impact of the enterprise. Analysis of sources proves that enterprises that use this approach have better opportunities for risk forecasting and resource management, which increases their competitiveness and responsibility to society. The interpretation of the results emphasizes that the success of sustainable development accounting is conditioned by the ability to integrate comprehensive data about the impact of enterprise activities on the environment and society into the general management system. Such integration allows enterprises not only to meet regulatory requirements but also to enhance their overall value and image. The features and distinctive characteristics of the results are that they enable companies to conduct more transparent and responsible business. The implementation of sustainable development accounting systems gives enterprises the ability not only to reduce the negative impact on the environment but also to effectively engage resources to address social issues. The domain of practical application of the results extends to corporate governance, socially responsible business, investment analysis, and environmental assessment. It includes internal and external regulation, stakeholder requirements, and strategic planning at enterprises [ABSTRACT FROM AUTHOR]

In the context of the continuous degradation of the global environment, ecological restoration has become a primary task in global environmental governance. In this process, remote sensing technology, as an advanced monitoring and analysis tool, plays a key role in monitoring ecological restoration. This article reviews the application of remote sensing technology in ecological restoration monitoring. Based on a comprehensive analysis of the literature in the field of ecological remote sensing, it systematically summarizes the major in-orbit spaceborne and airborne sensors and their related products. This article further proposes a series of evaluation indicators for ecological restoration from four aspects: forests, soil, water, and the atmosphere, and elaborates on the calculation methods for these indicators. In addition, this paper also summarizes the methods for evaluating the effectiveness of ecological restoration, including subjective evaluation, objective evaluation, and comprehensive evaluation methods. Finally, we analyze the challenges faced by remote sensing technology in evaluating ecological restoration effectiveness, such as issues with the precision of indicators extraction, the limitations of spatial resolution, and the diversity of evaluation methods. This review also looks forward to future ecological restoration technologies, such as the potential applications of integrated aerospace and terrestrial remote sensing, multi-data fusion, and machine learning technologies. This study reveals the effectiveness of remote sensing technology in ecological restoration monitoring, aiming to provide efficient tools and innovative strategies for future remote sensing monitoring and assessment of ecological restoration. [ABSTRACT FROM AUTHOR]

Simple Summary: Breast cancer is a significant cause of female cancer-related deaths in the US. Checking how severe the cancer is helps in planning treatment. Modern AI methods are good at grading cancer, but they are not used much in hospitals yet. We developed and utilized ensemble deep learning algorithms for addressing the tasks of classifying (1) breast cancer subtype and (2) breast cancer invasiveness from whole slide image (WSI) histopathology slides. The ensemble models used were based on convolutional neural networks (CNNs) known for extracting distinctive features crucial for accurate classification. In this paper, we provide a comprehensive analysis of these models and the used methodology for breast cancer diagnosis tasks. Cancer diagnosis and classification are pivotal for effective patient management and treatment planning. In this study, a comprehensive approach is presented utilizing ensemble deep learning techniques to analyze breast cancer histopathology images. Our datasets were based on two widely employed datasets from different centers for two different tasks: BACH and BreakHis. Within the BACH dataset, a proposed ensemble strategy was employed, incorporating VGG16 and ResNet50 architectures to achieve precise classification of breast cancer histopathology images. Introducing a novel image patching technique to preprocess a high-resolution image facilitated a focused analysis of localized regions of interest. The annotated BACH dataset encompassed 400 WSIs across four distinct classes: Normal, Benign, In Situ Carcinoma, and Invasive Carcinoma. In addition, the proposed ensemble was used on the BreakHis dataset, utilizing VGG16, ResNet34, and ResNet50 models to classify microscopic images into eight distinct categories (four benign and four malignant). For both datasets, a five-fold cross-validation approach was employed for rigorous training and testing. Preliminary experimental results indicated a patch classification accuracy of 95.31% (for the BACH dataset) and WSI image classification accuracy of 98.43% (BreakHis). This research significantly contributes to ongoing endeavors in harnessing artificial intelligence to advance breast cancer diagnosis, potentially fostering improved patient outcomes and alleviating healthcare burdens. [ABSTRACT FROM AUTHOR]

In recent years, contaminants of emerging concern have been reported in several environmental matrices due to advances in analytical methodologies. These anthropogenic micropollutants are detected at residual levels, representing an ecotoxicological threat to aquatic ecosystems. In particular, the pharmacotherapeutic group of non-steroidal anti-inflammatories (NSAIDs) is one of the most prescribed and used, as well as one of the most frequently detected in the aquatic environment. Bivalves have several benefits as a foodstuff, and also as an environment bioindicator species. Therefore, they are regarded as an ideal tool to assess this issue from both ecotoxicological and food safety perspectives. Thus, the control of these residues in bivalves is extremely important to safeguard environmental health, also ensuring food safety and public health. This paper aims to review NSAIDs in bivalves, observing their consumption, physicochemical characteristics, and mechanisms of action; their environmental occurrence in the aquatic environment and aquatic biota; and their effects on the ecosystem and the existent legal framework. A review of the analytical methodologies for the determination of NSAIDs in bivalves is also presented. [ABSTRACT FROM AUTHOR]

This study presents a dynamic Bayesian game model designed to improve predictions of ecological uncertainties leading to natural disasters. It incorporates historical signal data on ecological indicators. Participants, acting as decision-makers, receive signals about an unknown parameter-observations of a random variable's realization values before a specific time, offering insights into ecological uncertainties. The essence of the model lies in its dynamic Bayesian updating, where beliefs about unknown parameters are refined with each new signal, enhancing predictive accuracy. The main focus of our paper is to theoretically validate this approach, by presenting a number of theorems that prove its precision and efficiency in improving uncertainty estimations. Simulation results validate the model's effectiveness in various scenarios, highlighting its role in refining natural disaster forecasts. [ABSTRACT FROM AUTHOR]

Objective: To explore potential biomarkers that can predict the clinical efficacy of PD-1/PD-L1 inhibitors in malignancies. Methods: The PubMed, Web of Science, CNKI, Wanfang and VIP databases were searched from the establishment of the database to September 20, 2022. After literature screening, data extraction and the risk of bias were evaluated independently by two evaluators, the Meta-analysis was performed using RevMan5.4 and STATA16.0 software. Results: This paper included 18 studies with a total of 4 018 patients. Tumor patients with a high tumor mutational burden (TMB) were found to have higher overall survival (OS) (P=0.003,P=0.01) and progression-free survival (PFS)(P=0.000 2, P=0.04) with PD-1/PD-L1 inhibitors within 1 year and 2 years of follow-up. At different follow-up times, with 1% as the critical value, there was no statistical significance in the level of PD-L1 expression as a biomarker for predicting OS and PFS of PD-1/PD-L1 inhibitors (P>0.05). Conclusion: TMB can be used as a biological indicator to predict the clinical efficacy of PD-1/PD-L1 inhibitors in patients with malignant tumors within 2 years after treatment, but whether its efficacy can last longer remains to be further studied. PD-L1 single test is not currently a biomarker for predicting the benefit of PD-1/PD-L1 inhibitors. [ABSTRACT FROM AUTHOR]

Conceptual engineering is the enterprise of evaluating and improving our representational devices. But how should we conduct this enterprise? One increasingly popular answer to this question proposes that conceptual engineering should proceed in terms of the functions of our representational devices. In this paper, we argue that the best way of understanding this suggestion is in terms of normative functions, where normative functions of concepts are, roughly, things that they allow us to do that matter normatively (for example, things in virtue of which we have normative reasons to have these concepts). Not only does this introduce a novel view about functions to the literature. This proposal also fits more naturally than the alternatives with conceptual engineering as a normative enterprise, and it allows functions to play all of the explanatory roles assigned to them in the conceptual engineering literature. Our discussion of the explanatory advantages of normative functions also advances the understanding of the ways in which concepts can be authoritative, what this means for conceptual engineering, and highlights the importance of political philosophy for thinking about conceptual engineering in practice. Furthermore, the paper explicates what kind of role considerations about function can and should actually play in conceptual engineering. [ABSTRACT FROM AUTHOR]

Nematoda is the fourth most diverse animal phylum and is widely distributed. Marine nematodes are generally the most speciose group of meiofauna, yet there are relatively few studies on the taxonomy and biodiversity of free living marine nematodes. Here we present a review of the existing scientific literature and data in international databases on marine nematodes of Costa Rica. Most of the papers currently available mentioned Nematoda as the most abundant phylum in terms of the number of individuals within sand samples, nonetheless, only three publications included taxonomic data such as the description of new species or new records. Most publications are for the Pacific coast and we found only one paper for the Caribbean coast of Costa Rica. Large sections of the coasts and almost all the Exclusive Economic Zone remain unexplored in terms of nematode diversity, abundance and ecological role. Ten species, five free-living and five parasitic species, have been reported from the coasts of Costa Rica. Several reports indicate the presence of nematodes without further identification. More effort should be dedicated to the taxonomic identification of nematodes since, in addition to being the most abundant group, they can also be used as biological indicators. [ABSTRACT FROM AUTHOR]

Remote sensing provides us with an approach for the rapid identification and monitoring of spatiotemporal changes in the urban ecological environment at different scales. This study aimed to construct a remote sensing assessment index for urban ecological livability with continuous fine spatiotemporal resolution data from Landsat and MODIS to overcome the dilemma of single image-based, single-factor analysis, due to the limitations of atmospheric conditions or the revisit period of satellite platforms. The proposed Ecological Livability Index (ELI) covers five primary ecological indicators – greenness, temperature, dryness, water-wetness, and atmospheric turbidity – which are geometrically aggregated by non-equal weights based on an entropy method. Considering multisource time-series data of each indicator, the ELI can quickly and comprehensively reflect the characteristics of the Ecological Livability Quality (ELQ) and is also comparable at different time scales. Based on the proposed ELI, the urban ecological livability in the central urban area of Wuhan, China, from 2002 to 2017, in the different seasons was analyzed every 5 years. The ELQ of Wuhan was found to be generally at the medium level (ELI ≈0.6) and showed an initial trend of degradation but then improved. Moreover, the ecological livability in spring and autumn and near rivers and lakes was found to be better, whereas urban expansion has led to the outward ecological degradation of Wuhan, but urban afforestation has enhanced the environment. In general, this paper demonstrates that the ELI has an exemplary embodiment in urban ecological research, which will support urban ecological protection planning and construction. [ABSTRACT FROM AUTHOR]

Urbanization has transformed more than 50% of the land area and brought the emergence of a new humanized-based ecosystem. In answer to this, urban systems have looked for become resilient. Thus, urban landscapes must enhance their resilience capacities; robustness, adaptability, and transformability. However, there is a necessity of a well performing and easy gathering indicators. In this paper, we propose that bats are a good indicator of city's capacity to be resilient. We used bat permanence, species diversity, and activities to analyze Mexico City resilience capacities. We used citizen science to register bat sounds around the city. From these data we identified bat species and two main activities: passes and hunting buzzes. Data showed that the east and center area of the city had the lower species richness and relative abundance, while south was the richest. This diversity patterns were in response to different habitat characteristics, mainly those related to landscape. However, activities and permanence were strongly related with human presence. The bat permanence modeled, indicated that bat community structure could be shaped under changing scenarios. Due to their differential sensitivity bats are good indicators of habitat changes in urban landscapes. Cities seeking resilience should perform planned-habitat management to achieve a bat-friendly status and promote the ecosystem services that bats can provide. [ABSTRACT FROM AUTHOR]

Introduction: Flourishing is an evolving wellbeing construct and outcome of interest across the social and biological sciences. Despite some conceptual advancements, there remains limited consensus on how to measure flourishing, as well as how to distinguish it from closely related wellbeing constructs, such as thriving and life satisfaction. This paper aims to provide an overview and comparison of the diverse scales that have been developed to measure flourishing among adolescent and adult populations to provide recommendations for future studies seeking to use flourishing as an outcome in social and biological research. Methods: In accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), we conducted a scoping review across PubMed and EMBASE of studies introducing original flourishing scales (defined as a previously unpublished measure of mental health or wellbeing that used “flourishing” in its definition). Studies focusing on adult populations that were published before April 28, 2023 were considered eligible for inclusion. Results: Out of 781 studies retrieved, we identified seven eligible studies covering seven unique flourishing scales. We find that all seven scales are multidimensional and assess features over monthly or yearly intervals. While most of the scales (six out of seven) include indicators of both hedonic and eudaimonic wellbeing, the operationalization of these dimensions of wellbeing varies considerably between scales. Several of the scales have been translated and validated across multiple geographical contexts, including higher- and lower-income countries. Discussion: Complementing self-report measures with other social, economic, regional, and biological indicators of flourishing may be useful to provide holistic and widely applicable measures of wellbeing. This review contributes to concept validation efforts that can guide strategies to sustain flourishing societies. [ABSTRACT FROM AUTHOR]

In the context of wetland restoration, the reconstruction of an ecosystem's structure typically manifests within a relatively short timeframe, while the restoration of its function often necessitates an extended period of time following the implementation of restoration measures. Consequently, it becomes imperative to engage in the comprehensive, long-term dynamic monitoring of restored wetlands to capture timely information regarding the ecological health status of wetland restoration. In this paper, we aimed to precisely assess the ecosystem health of a typical wetland that had been converted from farmland to wetland in Fujin National Wetland Park in 2022. We selected 18 ecological, social, and economic indicators to establish a wetland ecological health evaluation model, and then used the method of an analytic hierarchy process (AHP) to calculate the weights for each indicator and acquire the ecological health index (EHI) score. The results of our study revealed that the ecosystem health index was 3.68, indicating that the FNWP wetland ecosystem was in "good" condition; this result was mainly affected by wetland water quality (0.382). The ecological health assessment of restored wetlands can monitor wetland ecological resources and provide a scientific basis for the management and protection of restored wetlands. [ABSTRACT FROM AUTHOR]

The paper presents data on the identification of the helminth fauna structure of Bufo bufo Linnaeus, 1758 and Bufotes viridis Laurenti, 1768 species, ecaudata amphibian from Bufonidae families, and the determination of its role as bioindicators and as vectors for parasitic agents specific to animals. As result of helminthological investigations during 2013-2023 years, in Bufonidae species 19 helminths species was established. The helminthological research carried out on the species Bufo bufo highlighted the presence of 19 species of helminths, of which the predominant parasitic agents are trematodes which make up 47.4%, nematodes with 31.5%, acanthocephals with 15.8% and monogeneans with 5.3%. In Bufotes viridis species, the presence of 18 species of helminths was established, of which helminth species from the trematode class represent the predominant group with 44.4%, nematodes with 38.9%, acanthocephales with 11.1% and monogeneans with 5.6%. The helminthological researches were carried out depending on the age of the host, the type of habitat and the area. The bioindicator significance of the established parasite species was presented for an ecological assessment of the studied area. [ABSTRACT FROM AUTHOR]

This paper aims to identify and categorize the factors influencing consumer goods' value into ecological and economic dimensions and subsequently compare them. The analysis employs the Allegro Reviews (AR) dataset, comprising post-purchase product reviews, with a focus on a sample of 1,400 randomly selected reviews from a pool of 10,615 comments. Through this examination, distinct influencing factors are identified, categorized as either ecological or economic, and their frequency of reference in online reviews was compared. The research findings show that consumers consistently address economic dimensions in their reviews. Notably, emphasis is placed on goods' quality, pricing, and the price-quality relationship. On the other hand, ecological aspects receive limited attention in reviews, suggesting their lesser significance to consumers compared to economic considerations. This study's implications for theory and practice indicate that companies should prioritize economic aspects in their value creation endeavors, relegating ecological factors to a secondary role. However, from a global standpoint, enterprises must incorporate ecological dimensions during the value creation process to avert environmental degradation, which could otherwise undermine overall societal quality of life. In terms of originality and value, this research diverges from typical consumer choice studies that rely on questionnaires. Instead, it analyzes actual post-purchase product reviews, providing insights into tangible elements contributing to goods' value, thus bypassing reliance on mere declarations. [ABSTRACT FROM AUTHOR]

Background Soil animal communities include more than 40 higher-order taxa, representing over 23% of all described species. These animals have a wide range of feeding sources and contribute to several important soil functions and ecosystem services. Although many studies have assessed macroinvertebrate communities in Brazil, few of them have been published in journals and even fewer have made the data openly available for consultation and further use. As part of ongoing efforts to synthesise the global soil macrofauna communities and to increase the amount of openly-accessible data in GBIF and other repositories related to soil biodiversity, the present paper provides links to 29 soil macroinvertebrate datasets covering 42 soil fauna taxa, collected in various land-use systems in Brazil. A total of 83,085 georeferenced occurrences of these taxa are presented, based on quantitative estimates performed using a standardised sampling method commonly adopted worldwide to collect soil macrofauna populations, i.e. the TSBF (Tropical Soil Biology and Fertility Programme) protocol. This consists of digging soil monoliths of 25 x 25 cm area, with handsorting of the macroinvertebrates visible to the naked eye from the surface litter and from within the soil, typically in the upper 0-20 cm layer (but sometimes shallower, i.e. top 0-10 cm or deeper to 0-40 cm, depending on the site). The land-use systems included anthropogenic sites managed with agricultural systems (e.g. pastures, annual and perennial crops, agroforestry), as well as planted forests and native vegetation located mostly in the southern Brazilian State of Paraná (96 sites), with a few additional sites in the neighbouring states of São Paulo (21 sites) and Santa Catarina (five sites). Important metadata on soil properties, particularly soil chemical parameters (mainly pH, C, P, Ca, K, Mg, Al contents, exchangeable acidity, Cation Exchange Capacity, Base Saturation and, infrequently, total N), particle size distribution (mainly % sand, silt and clay) and, infrequently, soil moisture and bulk density, as well as on human management practices (land use and vegetation cover) are provided. These data will be particularly useful for those interested in estimating land-use change impacts on soil biodiversity and its implications for below-ground foodwebs, ecosystem functioning and ecosystem service delivery. New information Quantitative estimates are provided for 42 soil animal taxa, for two biodiversity hotspots: the Brazilian Atlantic Forest and Cerrado biomes. Data are provided at the individual monolith level, representing sampling events ranging from February 2001 up to September 2016 in 122 sampling sites and over 1800 samples, for a total of 83,085 ocurrences. [ABSTRACT FROM AUTHOR]

Biochar has great potential as a soil conditioner and as a carrier of beneficial microorganisms that support the removal of pollutants, influence the circulation of nutrients, and support plant growth. This review summarizes and discusses factors shaping the physicochemical properties of biochar, including feedstock, pyrolysis conditions, and accompanying processes used as post-pyrolysis modification to improve the functionality of biochar. Key physical and chemical properties such as high porosity and specific surface area, nutrient content, pH, and biochar functional groups are discussed in detail to show biochar's potential as a carrier for microorganisms. This review also discusses and summarizes biological indicators that allow for assessing the quality and efficiency of the microbiological modifiers. Finally, this paper presents the benefits and limitations of biochar application to agriculture and provides recommendations for future research to improve the quality and expand the applicability of biochar-based inoculants. [ABSTRACT FROM AUTHOR]

Microalgae reactors provide an efficient and clean alternative for the production of biofuels, nutritional and cosmetic bioproducts, wastewater treatment, and mitigation of industrial gases to reduce greenhouse gas emissions. The main control objective in these systems is productivity optimisation. For this reason, real-time monitoring of key biological performance indicators affecting microalgae production such as microalgae growth rate, biomass concentration, dissolved oxygen, pH level or total inorganic carbon is crucial. However, there are no sufficiently robust solutions on the market to estimate or measure all of these variables, especially for open reactors on an industrial scale. This paper presents a new online state estimator, based on a robust sliding mode observer combined with a nonlinear dynamic model endowed with a minimum number of states to capture dynamics of key biological performance indicators. This soft-sensor has been verified with a realistic reactor model that has been experimentally tested. Simulations showed promising results in terms of accuracy (with mean values of the state estimation errors in the order of 10−4 g m −3 for the biomass concentration, 10−5 to 10−13 mol m −3 for the other states and deviations in the order of 10−4 g m −3 for the biomass concentration, 10−5 to 10−10 mol m −3 for the other states) and robustness with respect to signal noise, state deviations, initial errors and parametric uncertainty. • Architecture and design of a soft-sensor for industrial raceway photobioreactor. • Sliding modes techniques for on-line robust monitoring main biological indicators. • Proposal and verification of a reduced model as mathematical reactor replica. • Soft-sensor tested by simulation with a experimentally verified reactor model. [ABSTRACT FROM AUTHOR]

The use of biological monitoring (biomonitoring) to assess water quality is recognised alongside the use of chemical and physicochemical parameters due to its ability and efficiency in providing information about both current and long-term changes. Indeed, biomonitoring is applied in several developed and developing countries. Nevertheless, some developing countries, such as Rwanda, are yet to adopt such a monitoring system. This paper presents results of an assessment of the knowledge and perceptions by water resource managers about the use of biomonitoring and bioindicators, and challenges to their integration into existing routine water quality monitoring systems in Rwanda. Qualitative research, using semistructured interviews, was conducted with nine water resource practitioners from six water governance institutions between August and November 2021. The results show that participants are aware that macroinvertebrates, algae and fish are bioindicators that have potential applications in Rwanda to complement the chemical and physicochemical parameters already being collected in the country’s water monitoring system. The main challenges for integration of biological indicators, as indicated by participants, include the need for equipment, funding, technical skills and taxonomic knowledge. Training in the use of bioindicators and taxonomy are needed to raise the awareness and skills of staff from the institutions involved in freshwater ecosystem management in Rwanda, and to encourage integration of biomonitoring results into national water monitoring frameworks. [ABSTRACT FROM AUTHOR]

Unveiling the spatial and temporal distribution of urban ecological resilience and analyzing the configuration paths for enhancing its levels are crucial for promoting sustainable development in China. Our study integrates the DPSIR and EES models, considering the causal relationships between systems affecting urban ecological resilience while also examining their internal structures. Based on this, we construct an evaluation system for urban ecological resilience indicators. Utilizing the entropy-TOPSIS method, we assess the ecological resilience index (ERI) across 280 Chinese cities from 2011 to 2021, and the kernel density estimation and Markov chain are used to study the evolution process while the magnitude and source of spatial–regional differences are examined by the Dagum Gini coefficient decomposition method. Additionally, we empirically investigate the driving mechanisms toward high ERI with the focused stepwise quantitative case analysis (fsQCA) method based on the technology–organization–environment (TOE) framework. The results find that the ERI in China shows a tendency of moderate growth in variability, with an obvious gradient distribution: higher levels in the eastern and southern and lower levels in the western and northern regions. Also, ERI exhibits evolutionary features of increasing polarization and inter-regional differentiation. Spatial disparities gradually increase with fluctuations, driven primarily by transvariation density and intra-regional differences, contributing to a dual non-equilibrium state of east–west and north–south directions. Achieving a high ERI is influenced by various antecedent variables interacting with each other, and there are three predominant driving paths among these variables, with the level of informatization playing a central role in each pathway. [ABSTRACT FROM AUTHOR]

Adolescence is a transitional stage between puberty and maturity. Significant alterations in brain chemistry and hormone activity cause mood swings and other psychological and physical symptoms. On their journey to adolescence, adolescents deal with complex emotions, moral dilemmas, sexual concerns, identity crises and particular societal expectations related to their upbringing. Impulsivity in adolescents is frequent and causes multiple issues. Impulsivity often lead towards non-suicidal self-injury (NSSI), which has devastating consequences, which are both physical and mental. Both impulsivity and NSSI have their roots in brain chemistry and its related functions. The aim of this special communication was to delve into brain chemistry through studying the function of neurotransmitters and brain areas in NSSI and impulsivity. Multiple papers were sought on the topic of neurochemistry and neuroanatomy. The results identified serotonin, dopamine and glutamate as the neurotransmitters responsible for NSSI and impulsivity. Dysregulation in these neurotransmitters lead to the presentation of NSSI and impulsivity. Other than the neurotransmitters, the brain areas identified were prefrontal cortex, medial prefrontal cortex and ventrolateral prefrontal cortex. The compiled results of this research would help individuals in understanding the neurotransmitters and the brain areas responsible. This would also help in generating awareness regarding the biological nature of the phenomenon as well, leading to less stigmatisation. The less stigmatisation towards these phenomena can help the affected individuals to seek help without any guilt or shame, along with support from society as well. [ABSTRACT FROM AUTHOR]

This document is an editorial titled "Metal contamination, bioaccumulation, and toxicity in coastal environments under increasing anthropogenic impacts." It discusses the growing problem of metal pollution in coastal waters due to human activities such as industrial development and coastal urbanization. Unlike organic pollutants, metals are non-degradable and persist in the environment, posing a threat to coastal ecosystems and impacting social and economic activities. The editorial highlights the need for further research on the bioaccumulation and toxicity of metals in marine organisms, particularly in the context of climate change and plastic pollution. The document also mentions a research topic on metal contamination and its effects on marine organisms, which includes several papers on the subject. [Extracted from the article]

Dark diversity includes ecologically suitable species currently absent in a site, albeit theoretically able to arrive from the surrounding region. Various methods can estimate the likelihood that an absent species is in the dark diversity of a site. Recent developments in estimation of dark diversity have advanced the field, yet uncertainty on method selection might lead to confusion and misleading results. Here, we provide methodological guidance by reanalyzing a data set used in a recently published dark‐diversity study (Hostens et al. 2023; Journal of Vegetation Science 34: e13212). Using various approaches to estimate dark diversity, we discuss why their estimations differ, and examine which methods are more appropriate than others for the particular data set. In this study, the hypergeometric method based on species co‐occurrences outperformed the other considered methods (species distribution modelling, Beals index). Further, we show how estimations of dark diversity can be combined with a Bayesian framework to examine which characteristics of sites and species are related to their tendency to have higher dark‐diversity size (sites) than expected or to be more frequently in dark diversity (species). This paper hopefully enhances confidence in dark‐diversity methods, allowing progress in both ecological theory and biodiversity conservation. [ABSTRACT FROM AUTHOR]

Plant Protection Products (PPPs) are widely used to maintain high productivity and protect crops, but can have unintended toxic effects on beneficial non‐target soil organisms. To avoid unacceptable adverse effects of PPPs on soil organisms, a prospective risk assessment is carried out, which focuses on individual substances and their effects on a few individual species or groups. However, the reality of agricultural soils consists of complex networks of organisms exposed to mixtures of several PPP active substances. It is therefore essential to monitor PPP residues in soils. This paper describes the ConSoil project and its proposed framework for monitoring PPP residues in Swiss Agricultural soils which includes and integrates (1) risk‐based reference values for PPP residues in soil and (2) indicators of their effects on long‐term soil fertility. For risk‐based reference values, a proposal has been developed to derive Soil Guideline Values (SGVs) for PPP residues and a mixture risk assessment concept is being developed. Regarding indicators, a toolbox of ecological and ecotoxicological indicators will be proposed to reflect the protection goal of long‐term soil fertility in agricultural soils. For this objective, standardised and/or well‐established bioindicator methods will be selected for the key soil organisms that support soil fertility. To integrate SGVs and the biomonitoring toolbox, an adapted TRIAD approach is proposed, where generic SGVs are used as a screening tool to identify monitoring sites potentially at risk and to trigger more detailed monitoring. Detailed monitoring will refine the SGVs based on site‐specific characteristics and implement the bioindicator toolbox to measure the effects of PPP residues and their risk to long‐term soil fertility. As a novel integrated framework, it is essential to use the data generated in detailed assessments to calibrate and refine the SGVs and bioindicator tools and improve the monitoring over time. [ABSTRACT FROM AUTHOR]

The urban ecological environment is crucial to the quality of life of residents and the sustainable development of the region, and the assessment and prediction of the ecological environment quality can provide a scientific guidance for ecological environment management and improvement. We proposed a novel approach to assess and simulate the urban ecological environment quality using the Geographic Information System Ecological Index (GISEI). First, we calculated the remote sensing ecological index (RSEI) for Xi'an in 2020. Second, we selected land use data, mean annual temperature, and mean annual relative humidity as ecological indicators. We regressed these indicators on the RSEI to obtain the GISEI of Xi'an in 2020. Finally, we simulated the GISEI of Xi'an in 2030 by predicting the ecological indicators and analyzed the changes in the ecological environment quality. The results of the study show that the ecological environment quality in Xi'an in 2020 is better overall. By 2030, most of the ecological environment quality in Xi'an will be worse, and the proportion of the excellent area will decrease from 42.8% to 3.8%. The more serious ecological degradation is mainly located in the regions bordering the Qinling Mountains and the Guanzhong Plain, and the ecological environment quality in most areas of the Qinling Mountains will deteriorate from excellent to good. [ABSTRACT FROM AUTHOR]

Currently, air pollution is one of the main environmental problems, and urbanization is considered one of the most dangerous changes that an ecosystem can undergo. Biological monitoring of urban habitats is needed to determine both atmospheric pollutants and their effects on organisms. Biomonitoring is a common and feasible method for air quality assessment in different environments. Plants are organisms constantly exposed to air, thus they are the primary receptors of all particles and pollutants in the atmosphere. In monitoring plants in urban environments, it is essential to identify and evaluate the right parameters to give us a complete and detailed picture of their state of health and evolution. This review paper aims to mention the parameters that respond as bioindicators in the monitoring of plant organisms to reveal relevant data regarding the environmental quality of their habitat, considering both invasive and non-invasive methods. Biomonitoring techniques using nondestructive methods are becoming increasingly important due to their advantages over chemicalanalytical methods. In vivo methods, which are based on both imaging and spectroscopic approaches, are recently increasingly optimized due to the advantages they offer in the field. In order to achieve the most exhaustive classification of plant parameters, various evaluable plant characteristics, morphological, morphometric, biochemical, and physiological aspects were considered, thus providing a solid basis for data analysis and interpretation. [ABSTRACT FROM AUTHOR]

The problem of optimising the location of crops/plots in protected areas, national parks, farmland or forests involves trying to reconcile their proper functioning with nature conservation, the preservation of unique ecosystems or sustainable development. Such areas are crucial for the preservation of biodiversity and wildlife. This paper examines and discusses the impact of land consolidation in rural areas using GIS (Geographic Information System) tools. It performs a series of network analyses to determine the real distances (following the road network) and linear distances (rectilinear distances) between habitats and farmland. A tool was also developed to automate this process. The results obtained were visualised using map compositions, tables and graphs. The implemented project had a significant beneficial effect on the change in the land structure in the analysed village. The number of registered plots decreased by 40% (from 1,189 to 711) due to the consolidation process. [ABSTRACT FROM AUTHOR]

Accumulated degree-days are among the most significant indicators in ecological and geographical modeling of the distribution of biological objects. The present paper analyzes several existing methods for calculating accumulated degree-days, proposes an improved calculation method, and presents a set of the global maps of accumulated degree-days constructed using the improved method. The produced maps are publicly available and can be used for ecological and geographical analysis and modeling. [ABSTRACT FROM AUTHOR]

This review paper exhibits the underexplored realm of heavy metal contamination and associated risks in sea cucumbers (SCs), which hold significant importance in traditional Asian marine diets and are globally harvested for the Asian market. The assessment focuses on heavy metals (HMs) presence in various SC species, revealing a global trend in HMs concentrations across anatomical parts: Fe > Zn > As > Cu > Hg > Pb > Mn > Cr > Ni > Cd. Specific species, such as Eupentacta fraudatrix, Holothuria mammata, Holothuria polii, Holothuria tubulosa , and Holothuria atra , exhibit heightened arsenic levels, while Stichopus herrmanni raises concerns with mercury levels, notably reaching 3.75 mg/kg in some instances, posing potential risks, particularly for children. The study sheds light on anthropogenic activities such as cultivation, fishing, and shipping, releasing HMs into marine ecosystems and thereby threatening ocean and coastal environments due to the accumulation and toxicity of these elements. In response to these findings, the paper suggests SCs as promising bioindicator species for assessing metal pollution in marine environments. It underscores the adverse effects of human actions on sediment composition and advocates for ongoing monitoring efforts both at sea and along coastlines. [Display omitted] • Identification of prevalent heavy metal concentrations across sea cucumber species. • Recognition of specific species with heightened arsenic and mercury levels, posing potential risks • Highlighting the impact of anthropogenic activities, releasing heavy metals and threatening ocean environments. • Proposing sea cucumbers as effective bioindicators for ongoing monitoring of metal pollution in marine environments. [ABSTRACT FROM AUTHOR]

Benthic foraminifera, single-celled marine organisms, are known for their wide distribution, high abundance and species diversity, test (i.e., shell) preservation in the sedimentary (e.g., historical) record, and sensitivity to environmental changes. Because of these characteristics, they have been widely used as bioindicators in environmental monitoring and, more recently, as Biological Quality Elements (BQEs) in the Ecological Quality Status (EcoQS) evaluation. The global scientific literature on benthic foraminifera as bioindicators was gathered from the Scopus database (overall 966 papers from 1973 to 2022) and explored with scientometric software. The outcomes highlight that the investigation of benthic foraminiferal response to pollutants started over 50 years ago. Indeed, not only the number of published documents has recently peaked (i.e., 2021 and 2022) but there has been also a growth in the percentages of papers falling within the Decision Sciences category that deals with the application of foraminiferal indices for the EcoQS assessment. • The global scientific literature evolution and trends on benthic foraminifera as bioindicators • The increasing trend of publications suggests an emerging global interest. • Trend in the evolution from environmental approach towards ecological evaluation • New emerging approaches using eDNA and sedaDNA in foraminiferal biomonitoring [ABSTRACT FROM AUTHOR]

[Display omitted] • 11 ecological indicators were abstracted using satellite remote sensing technology. • Escape routes planned by the improved algorithm are safer and more reliable. • Multiple scientific escape options for escapees were provided. The forest fire environment is complex and volatile, posing a serious threat to the lives of firefighters at any time. Aiming at how people choose escape routes when facing these dangers, this paper proposed an escape route planning method based on the improved A* algorithm. Taking the forest fire that occurred in Xintian County, Yongzhou City, Hunan Province on October 17, 2022, as the research object, this study collected data from multi-temporal remote sensing imagery including GF-4, and Sentinel-2 to obtain 11 factors affecting the escape route planning. We used the FAHP-CRITIC combination weighting method to analyze the weights of the escape impact factors. Forest fire scenes were categorized into five classes based on escape risk coefficient from high to low. The heuristic function and weight coefficients of the traditional A* algorithm were reconstructed to obtain the improved A* algorithm. The computing time of both A* algorithm is similar in the same fire scene. But the percentage of the escape route length, located inside the high-risk zones, in the total escape route planned by the improved algorithm decreased by 53.63% than that planned by the traditional A* algorithm. The escape risk coefficient was reduced by 24.22%, and the escape safety was significantly improved. On this basis, the study combined the improved A* algorithm with the dynamic escape window method to search for the nearest safe area to the escapees and compute the corresponding escape routes. The real-time safety of the algorithm was verified using GF-1 remote sensing images obtained 7 and 35 min after the previous fire burning moment. Results revealed that the escape paths planned by the improved A* algorithm remained in a safe state and were able to be updated in real time according to the trend of the fire. This demonstrates the ability of the improved A* algorithm to adapt to real-time changes in forest fire scenes. It can provide multiple reliable escape options for escapees, thus scientifically and effectively reducing human casualties. [ABSTRACT FROM AUTHOR]

Recently, the retention time of pesticides has been considered an informative indicator of the ecological quality of pesticides. Two new possibilities are proposed for building pesticide retention time models using the CORAL program (http://www.insilico.eu/coral). Firstly, the possibility of being involved in modelling the correlation weights of local symmetry fragments in SMILES. Secondly, using two criteria of predictive potential (correlation ideality index and correlation intensity index) as a vector in Monte Carlo optimization for model building. Building models of the retention time of pesticides using the CORAL software confirms the effectiveness of these innovations. [ABSTRACT FROM AUTHOR]

In an era when ecological and environmental needs and responsibilities apply pressure on the world's countries and sustainability takes centre stage, ecologic/environmental (E/E) laboratories stand as beacons of scientific inquiry, innovating, optimising, and applying various tests for a better knowledge of our natural resources and the quality status of ecosystems. The purpose of this review is to provide an overview of the use of flow cytometry (FC) as a tool for assessing environmental quality, mainly using living organisms and their biological changes as bioindicators. Cytometric approaches applied to both marine and terrestrial ecosystems ensure the detection of biochemical and functional status of the cells composing either an organ thereof or the organism itself. In addition to cytometric evaluations of the biotic matrix, a brief overview of the techniques for the environmental assessment of biotic and abiotic matrices using mass spectrometry is given. The technique involving the continuous monitoring of the chemical and physical parameters of water, sediment, and soil is basically incapable of detecting any additive and synergetic effects of toxicants on living organisms. Therefore, techniques employing bioindicators provide valuable information for environmental diagnosis, and several studies have demonstrated the strong relationship between specific environmental data and cell/organ behaviour. [ABSTRACT FROM AUTHOR]

The extent of the stable nitrogen (N) isotope ratio (δ15N) of mangrove leaves reflects the anthropogenic N accumulation potential of mangroves. Therefore, the present study was designed to investigate the N accumulation potential of Okinawa mangroves in Japan using three ecological indicators from four mangrove watersheds. The dissolved inorganic nitrogen (DIN) concentration in mangrove creeks, the leaf δ15N and the soil δ15N are considered immediate indicators, short-term indicators, and long-term indicators, respectively. The four mangrove watersheds are classified into two groups, human-affected and forested mangroves, based on the relative land use ratio (%) of the watersheds. The observed values of the ecological indicators were subsequently compared between two groups of watersheds to determine the relative ecosystem conditions. The results showed that both the leaf δ15N (0 to 9 ‰) and the soil δ15N (1.5 to 8.0 ‰) values are significantly greater in human-affected mangroves than in forested mangroves. The DIN of creek water samples does not indicate an immediate risk of excess N input from human perturbation in mangroves. However, the significant relationships among the indicators reflect the anthropogenic N accumulation potential of mangroves in Okinawa, Japan. These findings are highly important, especially for policymakers, environmentalists, and related stakeholders, for initiating conservation and management practices for mangroves. Controlled, limited, and/or restricted human perturbation; proper management of municipal wastes; and planned use of agrochemicals upon necessity may help reduce anthropogenic N inputs in mangrove ecosystems in Okinawa. [ABSTRACT FROM AUTHOR]

Water yield, one of the most valuable and important ecological indicators, reflects the renewable capacity of regional water resources. The Taihang Mountains are a natural ecological barrier and an important source of water production for the North China Plain. Two large-scale projects involving returning farmland to forest and grassland have significantly changed the distribution of land use in the Taihang Mountains, and also affect the water production characteristics of the Taihang Mountains. Taking the Hutuo River Basin, a typical river in the Taihang Mountainous region, as the study area, the InVEST model is utilized to calculate the spatial and temporal changes in water yield capacity in the Hutuo River basin, and four scenarios were set to judge the impact of different ecological projects on the water yield of the mountainous watershed of the Hutuo River. The results showed that the water yield in the five study periods was 218.58–376.44 mm. The interannual variations in both precipitation and water yield of the study area in the last decade were large. The water yield is mainly concentrated in the northeast region of the upper reaches of the basin, and the smallest is the northwest and central regions of the upper reaches. The water yield in each year in the study area is mainly less than 400 mm, accounting for more than 60% of the study area, and the water yield has shown a large regional expansion in the past 10 years. Grassland has the largest water yield capacity of all land use types, and climate change has basically no effect on the water yield capacity of different land use types. The ecological project of returning farmland to forestland has a negative impact on the water yield capacity, whereas the water yield capacity increases after returning farmland to grassland. The water conservancy project of river training has a negative impact on the water yield capacity of the Hutuo River mountainous basin. The research results provide theoretical data for judging the relationship between vegetation restoration and water yield in mountainous watersheds, a scientific basis for evaluating the implementation effect of major projects, and strong data support for water resource management in the North China Plain. [ABSTRACT FROM AUTHOR]