Assessing the impact of fire on spider abundance through a global comparative analysis

Fire is an important ecological disturbance; however, in many regions fire regimes are changing due to anthropogenic factors. Understanding the responses of species and ecosystem to fire can help to develop predictive models and inform fire management decisions. Despite their massive diversity and abundance, relatively little is known about the impacts of fire on invertebrates. Spiders are a diverse and ubiquitous group, with variation in ecological, behavioural and life history traits, and can offer important insights into the impacts of fire on invertebrates and whether these depend on environmental factors, phylogenetic history, or species traits. We conducted phylogenetic comparative analyses of published data from studies investigating the impacts of fire on spiders. We investigated whether fire affects family level abundance and whether this effect depends on ecologically relevant traits or site-specific factors (vegetation, latitude, fire type, time since fire). We found that time since fire had a significant effect on the abundance of some spider families (Lycosidae, Linyphiidae, Agelenidae), and within forest vegetation types. There was no relationship between family level traits and response to fire, suggesting that a trait-based approach does not increase predictive power in this group at this taxonomic level. Overall, it is difficult to make broad generalisations about the impacts of fire on spider abundance due to variation in site- and fire-specific factors. We did, however, find evidence that short fire intervals may be a threat to some spider families, and in forest ecosystems, where abundance initially decreased after fire, which may have important implications for fire management strategies. Finally, we show that analyses of published data can be used to detect broad scale ecological patterns and provide an alternative to traditional meta-analytical approaches.

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Identifying conservation priorities in a defaunated tropical biodiversity hotspot

10.1101/790766 ◽

2019 ◽

Cited By ~ 1

Author(s):

Andrew Tilker ◽

Jesse F. Abrams ◽

An Nguyen ◽

Lisa Hörig ◽

Jan Axtner ◽

...

Keyword(s):

Species Richness ◽

Endemic Species ◽

Spatial Scales ◽

Site Occupancy ◽

Anthropogenic Factors ◽

Conservation Priorities ◽

Species Responses ◽

The Impact ◽

Analytical Approaches ◽

Conservation Interventions

AimUnsustainable hunting is leading to widespread defaunation across the tropics. To mitigate against this threat with limited conservation resources, stakeholders must make decisions on where to focus anti-poaching activities. Identifying priority areas in a robust way allows decision-makers to target areas of conservation importance, therefore maximizing the impact of conservation interventions.LocationAnnamite mountains, Vietnam and Laos.MethodsWe conducted systematic landscape-scale surveys across five study sites (four protected areas, one unprotected area) using camera-trapping and leech-derived environmental DNA. We analyzed detections within a Bayesian multi-species occupancy framework to evaluate species responses to environmental and anthropogenic influences. Species responses were then used to predict occurrence to unsampled regions. We used predicted species richness maps and occurrence of endemic species to identify areas of conservation importance for targeted conservation interventions.ResultsAnalyses showed that habitat-based covariates were uninformative. Our final model therefore incorporated three anthropogenic covariates as well as elevation, which reflects both ecological and anthropogenic factors. Conservation-priority species tended to found in areas that are more remote now or have been less accessible in the past, and at higher elevations. Predicted species richness was low and broadly similar across the sites, but slightly higher in the more remote site. Occupancy of the three endemic species showed a similar trend.Main conclusionIdentifying spatial patterns of biodiversity in heavily-defaunated landscapes may require novel methodological and analytical approaches. Our results indicate to build robust prediction maps it is beneficial to sample over large spatial scales, use multiple detection methods to increase detections for rare species, include anthropogenic covariates that capture different aspects of hunting pressure, and analyze data within a Bayesian multi-species framework. Our models further suggest that more remote areas should be prioritized for anti-poaching efforts to prevent the loss of rare and endemic species.

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Urbanization of fauna on the example of marsh frog (Pelophylax ridibundus)

Ecology and Noospherology ◽

10.15421/031525 ◽

2015 ◽

Vol 26 (3-4) ◽

pp. 116-123

Author(s):

A. P. Korzh ◽

T. V. Zahovalko

Keyword(s):

Urban Areas ◽

Cognitive Modeling ◽

Negative Impact ◽

Natural Populations ◽

Cellular Level ◽

Anthropogenic Factors ◽

Migration Routes ◽

Corrective Effect ◽

The Impact ◽

The City

Recently, the number of published works devoted to the processes of synanthropization of fauna, is growing like an avalanche, which indicates the extreme urgency of this theme. In our view, the process of forming devices to coexist with human and the results of his life reflects the general tandency of the modern nature evolution. Urbanization is characteristic for such a specific group of animals like amphibians, the evidence of which are numerous literature data. Many researchers use this group to assess the bioindicative quality of the environment. For this aim a variety of indicators are used: from the cellular level of life of organization up to the species composition of the group in different territories. At the same time, the interpretation of the results is not always comparable for different areas and often have significantly different interpretations by experts. Urban environment, primarily due to the contamination is extremely aggressive to amphibians. As a consequence, the urban populations of amphibians may be a change in the demographic structure, affecting the reproductive ability of the population, the disappearance of the most sensitive species or individuals, resizing animals, the appearance of abnormalities in the development, etc. At the same time play an important amphibians in the ecosystems of cities, and some species in these conditions even feel relatively comfortable. Therefore, it is interesting to understand the mechanisms of self-sustaining populations of amphibians in urban environments. To assess the impact of natural and anthropogenic factors on the development of amphibian populations were used cognitive modeling using the program Vensim PLE. Cognitive map of the model for urban and suburban habitat conditions were the same. The differences concerned the strength of connections between individual factors (migration, fertility, pollution) and their orientation. In general, factors like pollution, parasites, predators had negative impact on the population, reducing its number. The birth rate, food and migration contributed to raising number of individuals. Some of the factors affected on the strength to of each other as well: the majority of the factors affected the structure of the population, had an influence on the fertility. Thanks to it the model reflects the additive effect of complex of factors on the subsequent status of the population. Proposed and analyzed four scenarios differing strength and duration of exposure. In the first scenario, a one-time contamination occurs and not subsequently repeated. The second and third scenario assumes half board contamination, 1 year (2 scenario) and two years (scenario 3). In the fourth scenario, the pollution affected the population of amphibians constantly. In accordance with the results of simulation, much weaker than the natural populations respond to pollution - have them as an intensive population growth and its disappearance at constant pollution is slow. Changes to other parameters of the model showed that this pollution is the decisive factor -only the constant action leads to a lethal outcome for the populations. All other components of the model have a corrective effect on the population dynamics, without changing its underlying trand. In urban areas due to the heavy impact of pollution maintaining the population is only possible thanks to the migration process – the constant replenishment of diminishing micropopulations of natural reserves. This confirms the assumption that the form of existence metapopulations lake frog in the city. In order to maintain the number of amphibians in urban areas at a high level it is necessary to maintain existing migration routes and the creation of new ones. Insular nature of the placement of suitable habitats in urban areas causes the metapopulation structure of the types of urbanists. Therefore, the process of urbanization is much easier for those species whicht are capable of migration in conditions of city. In the initial stages of settling the city micropopulationis formed by selective mortality of the most susceptible individuals to adverse effects. In future, maintaining the categories of individuals is provided mainly due to migration processes metapopulisation form of the species of existence is supported). It should be noted that the changes in the previous levels are always saved in future. In the case of reorganizations of individuals we of morphology can assume the existence of extremely adverse environmental conditions that threaten the extinction of the micropopulations.

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Анализ «Методики разработки нормативов допустимых сбросов веществ и микроорганизмов в водные объекты для водопользователей» в общем контексте водоохранного законодательства (в порядке обсуждения)

Vodosnabzhenie i sanitarnaia tehnika ◽

10.35776/mnp.2020.02.05 ◽

2020 ◽

Author(s):

I. Saakian ◽

Aleksandr, Grigor’ev ◽

E. Kravets ◽

E. Rudakov ◽

A. Faddeev ◽

...

Keyword(s):

Water Quality ◽

Water Bodies ◽

Anthropogenic Factors ◽

Water Protection ◽

Best Available Technologies ◽

Process Indicators ◽

Water Users ◽

Quality Of Water ◽

Protection Legislation ◽

The Impact

Выполнен анализ действующей редакции Методики разработки нормативов допустимых сбросов веществ и микроорганизмов в водные объекты для водопользователей , утвержденной приказом Минприроды России от 17 декабря 2007 г. 333, на предмет непротиворечивости и соответствия нормам водоохранного законодательства. Выявлена неопределенность применения Методики в условиях воздействия на качество воды природных и антропогенных факторов, не зависящих от конкретного водопользователя. Положения Методики противоречат принципам нормирования воздействия на водные объекты на основе наилучших доступных технологий, что было показано на примерах утвержденных технологических показателей содержания загрязняющих веществ в сточных водах различных отраслей промышленности. Анализ системы нормирования допустимых воздействий на водные объекты и географической дифференциации нормативов качества воды в пределах Российской Федерации вместе с системой целевых показателей качества воды также показал несоответствие Методики основным принципам водоохранного законодательства.The analysis of the current edition of the Methods of developing standards for permissible discharges of substances and microorganisms into water bodies for water users , approved by the Order of the Ministry of Natural Resources of Russia dated December 17, 2007 No. 333 for consilience and compliance with the regulations of the water protection legislation, is carried out. Uncertainty of the application of the Methods in the conditions of the impact of natural and anthropogenic factors that are independent of a specific water user on the quality of water has been identified. The provisions of the Methods contradict the principles of regulating the impact on water bodies based on the best available technologies shown on the examples of approved process indicators of the concentrations of various industrial pollutants in wastewater. An analysis of the system of regulating the permissible impact on water bodies and the geographical differentiation of water quality standards within the boundaries of the Russian Federation, together with the system of water quality targets, also showed that the Methods do not comply with the basic principles of the water protection legislation.

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Impact of firm’s specific factors on audit fee of quoted consumer goods firms

Corporate Governance and Sustainability Review ◽

10.22495/cgsrv4i1p4 ◽

2020 ◽

Vol 4 (1) ◽

pp. 47-55

Author(s):

Wasiu Ajani Musa ◽

Ramat Titilayo Salman ◽

Ibrahim Olayiwola Amoo ◽

Muhammed Lawal Subair

Keyword(s):

Consumer Goods ◽

Audit Quality ◽

Audit Fees ◽

Ordinary Least Squares ◽

P Value ◽

Chi Square ◽

Ifrs Adoption ◽

Audit Fee ◽

Specific Factors ◽

The Impact

Greater pricing presume on audit service has been put by the regulations of the auditing and accounting practices for the disclosure of audit fees, since audit fee is directly related to audit quality. However, the audit fees perceived by the client is often different from the amount charged by the auditors. Hence, this study investigated the impact of firm-specific characteristics on audit fees of quoted consumer goods firms in Nigeria using a purposive sampling technique. Secondary data were obtained from annual reports of the companies for the period from 2009-2016. The empirical result from Breusch-Pagan Lagrange Multiplier Test (BP-LM) produced a chi-square value of 13.94 with p-value of 0.0001 indicating that pooled ordinary least squares (OLS) will not be appropriate for the study. The Hausman test showed a chi-square of 23.55 with a p-value of 0.001 indicating that the null hypothesis is strongly rejected. Thus, the only estimate from the fixed effect model was interpreted to explain the relationship between firm-specific characteristics and audit fees of quoted consumer goods firms in Nigeria. The result revealed that auditee size, auditee risk, auditee profitability and IFRS adoption are the firm specific characteristics that impact on audit fees with only auditee size and IFRS adoption being positively related to audit fees while the other factors are negatively related to audit fees. Based on this finding, this study concluded that the firm’s specific factors are the major drivers of audit fees in Nigeria consumer goods firms. This study recommends among others that companies should implement corporate governance principles that address issues relating to board independence and committee sizes to guide activities in the consumer goods sector since profitability behave negatively with audit fees.

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Impact of pharmacist-conducted anticoagulation patient education and telephone follow-up on transitions of care: a randomized controlled trial

BMC Health Services Research ◽

10.1186/s12913-021-06156-2 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Lamis R. Karaoui ◽

Elsy Ramia ◽

Hanine Mansour ◽

Nisrine Haddad ◽

Nibal Chamoun

Keyword(s):

Tertiary Care ◽

Intervention Group ◽

Bleeding Event ◽

Transitions Of Care ◽

Control Group ◽

Published Data ◽

Post Discharge ◽

Readmission Rates ◽

The Impact

Abstract Background There is limited published data in Lebanon evaluating the impact of supplemental education for anticoagulants use, especially DOACs, on clinical outcomes such as bleeding. The study aims to assess the impact of pharmacist-conducted anticoagulation education and follow-up on bleeding and readmission rates. Methods This study was a randomized, non-blinded interventional study conducted between August 2017 and July 2019 in a tertiary care teaching Lebanese hospital. Participants were inpatients ≥18 years discharged on an oral anticoagulant for treatment. Block randomization was used. The control group received the standard nursing counseling while the intervention group additionally received pharmacy counseling. Phone call follow-ups were done on day 3 and 30 post-discharge. Primary outcomes included readmission rates and any bleeding event at day 3 and 30 post-discharge. Secondary outcomes included documented elements of education in the medical records and reported mortality upon day 30 post-discharge. Results Two hundred patients were recruited in the study (100 patients in each study arm) with a mean age of 73.9 years. In the pharmacist-counseled group, more patients contacted their physician within 3 days (14% versus 4%; p = 0.010), received explicit elements of education (p < 0.001) and documentation in the chart was better (p < 0.05). In the standard of care group, patients were more aware of their next physician appointment date (52% versus 31%, p < 0.001). No difference in bleeding rates at day 3 and 30 post-discharge was observed between the groups. Conclusions Although pharmacist-conducted anticoagulation education did not appear to reduce bleeding or readmission rates at day 30, pharmacist education significantly increased patient communication with their providers in the early days post-discharge. Trial registration Lebanon Clinical Trial Registry LBCTR2020033424. Retrospectively registered. Date of registration: 06/03/2020.

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CANTARE: finding and visualizing network-based multi-omic predictive models

BMC Bioinformatics ◽

10.1186/s12859-021-04016-8 ◽

2021 ◽

Vol 22 (1) ◽

Author(s):

Janet C. Siebert ◽

Martine Saint-Cyr ◽

Sarah J. Borengasser ◽

Brandie D. Wagner ◽

Catherine A. Lozupone ◽

...

Keyword(s):

Random Forests ◽

Predictive Models ◽

Regression Models ◽

Dynamic Range ◽

P Value ◽

Published Data ◽

Logistic Regression Models ◽

Pairwise Models ◽

Biological Insight ◽

Analytical Approaches

Abstract Background One goal of multi-omic studies is to identify interpretable predictive models for outcomes of interest, with analytes drawn from multiple omes. Such findings could support refined biological insight and hypothesis generation. However, standard analytical approaches are not designed to be “ome aware.” Thus, some researchers analyze data from one ome at a time, and then combine predictions across omes. Others resort to correlation studies, cataloging pairwise relationships, but lacking an obvious approach for cohesive and interpretable summaries of these catalogs. Methods We present a novel workflow for building predictive regression models from network neighborhoods in multi-omic networks. First, we generate pairwise regression models across all pairs of analytes from all omes, encoding the resulting “top table” of relationships in a network. Then, we build predictive logistic regression models using the analytes in network neighborhoods of interest. We call this method CANTARE (Consolidated Analysis of Network Topology And Regression Elements). Results We applied CANTARE to previously published data from healthy controls and patients with inflammatory bowel disease (IBD) consisting of three omes: gut microbiome, metabolomics, and microbial-derived enzymes. We identified 8 unique predictive models with AUC > 0.90. The number of predictors in these models ranged from 3 to 13. We compare the results of CANTARE to random forests and elastic-net penalized regressions, analyzing AUC, predictions, and predictors. CANTARE AUC values were competitive with those generated by random forests and penalized regressions. The top 3 CANTARE models had a greater dynamic range of predicted probabilities than did random forests and penalized regressions (p-value = 1.35 × 10–5). CANTARE models were significantly more likely to prioritize predictors from multiple omes than were the alternatives (p-value = 0.005). We also showed that predictive models from a network based on pairwise models with an interaction term for IBD have higher AUC than predictive models built from a correlation network (p-value = 0.016). R scripts and a CANTARE User’s Guide are available at https://sourceforge.net/projects/cytomelodics/files/CANTARE/. Conclusion CANTARE offers a flexible approach for building parsimonious, interpretable multi-omic models. These models yield quantitative and directional effect sizes for predictors and support the generation of hypotheses for follow-up investigation.

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Mycosporine-Like Amino Acids from Red Macroalgae: UV-Photoprotectors with Potential Cosmeceutical Applications

Applied Sciences ◽

10.3390/app11115112 ◽

2021 ◽

Vol 11 (11) ◽

pp. 5112

Author(s):

Julia Vega ◽

Geniane Schneider ◽

Bruna R. Moreira ◽

Carolina Herrera ◽

José Bonomi-Barufi ◽

...

Keyword(s):

Mass Spectrometry ◽

Amino Acids ◽

High Performance ◽

Nitrogen Availability ◽

Antioxidant Properties ◽

Published Data ◽

Diverse Group ◽

Red Macroalgae ◽

Thermo Stability ◽

The Impact

Macroalgae belong to a diverse group of organisms that could be exploited for biomolecule application. Among the biocompounds found in this group, mycosporine-like amino acids (MAAs) are highlighted mainly due to their photoprotection, antioxidant properties, and high photo and thermo-stability, which are attractive characteristics for the development of cosmeceutical products. Therefore, here we revise published data about MAAs, including their biosynthesis, biomass production, extraction, characterization, identification, purification, and bioactivities. MAAs can be found in many algae species, but the highest concentrations are found in red macroalgae, mainly in the order Bangiales, as Porphyra spp. In addition to the species, the content of MAAs can vary depending on environmental factors, of which solar radiation and nitrogen availability are the most influential. MAAs can confer photoprotection due to their capacity to absorb ultraviolet radiation or reduce the impact of free radicals on cells, among other properties. To extract these compounds, different approaches can be used. The efficiency of these methods can be evaluated with characterization and identification using high performance liquid chromatography (HPLC), associated with other apparatus such as mass spectrometry (MS) and nuclear magnetic resonance (NMR). Therefore, the data presented in this review allow a broad comprehension of MAAs and show perspectives for their inclusion in cosmeceutical products.

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Seaweeds As a “Palatable” Challenge between Innovation and Sustainability: A Systematic Review of Food Safety

Sustainability ◽

10.3390/su13147652 ◽

2021 ◽

Vol 13 (14) ◽

pp. 7652

Author(s):

Giuseppe Cavallo ◽

Chiara Lorini ◽

Giuseppe Garamella ◽

Guglielmo Bonaccorsi

Keyword(s):

Heavy Metals ◽

Systematic Review ◽

Food System ◽

Meta Analysis ◽

Anthropogenic Factors ◽

Novel Foods ◽

Food Shortages ◽

Polluted Sites ◽

The Impact ◽

Global Food

Moderate or severe food insecurity affect 2 billion people worldwide. The four pillars of food security (availability, access, use and stability) are in danger due to the impact of climatic and anthropogenic factors which impact on the food system. Novel foods, like seaweeds, have the potential to increase food yields so that to contribute in preventing or avoiding future global food shortages. The purpose of this systematic review was to assess microbiological, chemical, physical, and allergenic risks associated with seaweed consumption. Four research strings have been used to search for these risks. Preferred Reporting Item for Systematic Reviews and Meta-analysis (PRISMA) guidelines were applied. Finally, 39 articles met the selected criteria. No significant hazards for microbiological, allergenic, and physical risks were detected. Regarding chemical risk, algae can accumulate various heavy metals, especially when harvested in polluted sites. Cultivating seaweeds in a controlled environment allows to avoid this risk. Periodic checks will be necessary on the finished products to monitor heavy metals levels. Since the consumption of algae seems to be on the rise everywhere, it seems to be urgent that food control authorities establish the safety levels to which eating algae does not represent any risk for human health.

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Geoinformation Technologies in Support of Environmental Hazards Monitoring under Climate Change: An Extensive Review

ISPRS International Journal of Geo-Information ◽

10.3390/ijgi10020094 ◽

2021 ◽

Vol 10 (2) ◽

pp. 94

Author(s):

Andreas Tsatsaris ◽

Kleomenis Kalogeropoulos ◽

Nikolaos Stathopoulos ◽

Panagiota Louka ◽

Konstantinos Tsanakas ◽

...

Keyword(s):

Climate Change ◽

Environmental Monitoring ◽

Environmental Hazards ◽

Geographic Information ◽

Added Value ◽

Spatial Data Analysis ◽

Anthropogenic Factors ◽

Geospatial Technologies ◽

Main Challenge ◽

The Impact

Human activities and climate change constitute the contemporary catalyst for natural processes and their impacts, i.e., geo-environmental hazards. Globally, natural catastrophic phenomena and hazards, such as drought, soil erosion, quantitative and qualitative degradation of groundwater, frost, flooding, sea level rise, etc., are intensified by anthropogenic factors. Thus, they present rapid increase in intensity, frequency of occurrence, spatial density, and significant spread of the areas of occurrence. The impact of these phenomena is devastating to human life and to global economies, private holdings, infrastructure, etc., while in a wider context it has a very negative effect on the social, environmental, and economic status of the affected region. Geospatial technologies including Geographic Information Systems, Remote Sensing—Earth Observation as well as related spatial data analysis tools, models, databases, contribute nowadays significantly in predicting, preventing, researching, addressing, rehabilitating, and managing these phenomena and their effects. This review attempts to mark the most devastating geo-hazards from the view of environmental monitoring, covering the state of the art in the use of geospatial technologies in that respect. It also defines the main challenge of this new era which is nothing more than the fictitious exploitation of the information produced by the environmental monitoring so that the necessary policies are taken in the direction of a sustainable future. The review highlights the potential and increasing added value of geographic information as a means to support environmental monitoring in the face of climate change. The growth in geographic information seems to be rapidly accelerated due to the technological and scientific developments that will continue with exponential progress in the years to come. Nonetheless, as it is also highlighted in this review continuous monitoring of the environment is subject to an interdisciplinary approach and contains an amount of actions that cover both the development of natural phenomena and their catastrophic effects mostly due to climate change.

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Benchmarking microbiome transformations favors experimental quantitative approaches to address compositionality and sampling depth biases

Nature Communications ◽

10.1038/s41467-021-23821-6 ◽

2021 ◽

Vol 12 (1) ◽

Author(s):

Verónica Lloréns-Rico ◽

Sara Vieira-Silva ◽

Pedro J. Gonçalves ◽

Gwen Falony ◽

Jeroen Raes

Keyword(s):

Microbial Communities ◽

Quantitative Methods ◽

Microbial Load ◽

Metagenomic Sequencing ◽

Sampling Depth ◽

Microbiome Research ◽

Microbiome Data ◽

The Impact ◽

Analytical Approaches ◽

Quantitative Approaches

AbstractWhile metagenomic sequencing has become the tool of preference to study host-associated microbial communities, downstream analyses and clinical interpretation of microbiome data remains challenging due to the sparsity and compositionality of sequence matrices. Here, we evaluate both computational and experimental approaches proposed to mitigate the impact of these outstanding issues. Generating fecal metagenomes drawn from simulated microbial communities, we benchmark the performance of thirteen commonly used analytical approaches in terms of diversity estimation, identification of taxon-taxon associations, and assessment of taxon-metadata correlations under the challenge of varying microbial ecosystem loads. We find quantitative approaches including experimental procedures to incorporate microbial load variation in downstream analyses to perform significantly better than computational strategies designed to mitigate data compositionality and sparsity, not only improving the identification of true positive associations, but also reducing false positive detection. When analyzing simulated scenarios of low microbial load dysbiosis as observed in inflammatory pathologies, quantitative methods correcting for sampling depth show higher precision compared to uncorrected scaling. Overall, our findings advocate for a wider adoption of experimental quantitative approaches in microbiome research, yet also suggest preferred transformations for specific cases where determination of microbial load of samples is not feasible.

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