Preferred Species Research Articles

A venom peptide-induced NaV channel modulation mechanism involving the interplay between fixed channel charges and ionic gradients

Venoms are used by arthropods either to immobilise prey or as defence against predators. Our study focuses on the venom peptide, Ta3a, from the African ant species, Tetramorium africanum and its effects on voltage-gated sodium (NaV) channels, which are ion channels responsible for the generation of electrical signals in electrically excitable cells, such as neurons. Using the NaV1.7 isoform as our model NaV channel we show that Ta3a prolongs single channel active periods with increased open probability and induces non-inactivating whole-cell currents. Ta3a-affected NaV1.7 channels exhibit a leftward (hyperpolarising) shift in activation threshold, constitutive activity even in the absence of an activating voltage stimulus, and at cell membrane voltages where channels are normally silent. Current-voltage experiments show that Ta3a shifts the voltage at which NaV current changes direction (reversal potential) by altering the local ionic concentration of permeant ions (Na+) rather than changing the channel’s preference for ionic species. We propose a model where Ta3a maintains the positively charged voltage-sensing (S4) domains of the channel in the activated configuration where their electric field is exposed to the extracellular membrane surface to create an ionic bilayer comprising S4 domains and mobile anions (Cl−). This bilayer has a depolarising effect on the cell membrane, thus reducing the amount of externally applied voltage required for channel activation.

Are cows pickier than goats? Linnaeus’s innovative large-scale feeding experiment

Abstract In 1749, Linnaeus published Pan Svecicus, a thesis that was defended by his student Nils Hesselgren. The thesis describes food preference trials in cows, goats, sheep, horses, and pigs, and includes 2325 tests with 643 plant species. The data had surprisingly little bearing on the text in the thesis, and even though the experiments quickly became internationally known, the data were merely repeated, rather than discussed. We have digitized the data and linked the species names to modern nomenclature and present the first analysis and discussion of the results. Pigs were most selective (eating 32% of the 204 plant species that were tested on all animals), followed by horses (59%), cows (66%), sheep (82%), and goats (85%). The ruminants (especially goats and sheep) had high overlap in food choice, and the pigs deviated most (despite the fact that pigs are more closely related to the ruminants than are horses). Among plant orders, Fabales and Poales were generally preferred, while Lamiales and Ranunculales were avoided, especially by cows and horses. Cows and horses were also more keen to avoid toxic plant species. All animals showed a preference for species that are today considered nutritious. We now make the data available, for further analyses in ecology, history of science, and other disciplines.

Seaweed as a feed additive to mitigate enteric methane emissions in ruminants: Opportunities and challenges1

Cutting farming-related methane emissions from ruminants is critical in the battle against climate change. Since scientists initially investigated the potential of marine macroalgae to reduce methane emissions, using seaweeds as an anti-methanogenic feed additive has become prevailing in recent years. Asparagopsis taxiformis is the preferred species because it contains a relatively higher concentration of bromoform. As a type of halogenated methane analogue, bromoform contained in A. taxiformis can specifically inhibit the activity of coenzyme M methyltransferase, thereby blocking the ruminal methanogenesis. However, bromoform is a potential toxin and ozone-depleting substance. In response, current research focuses on the effects of bromoform-enriched seaweed supplementation on ruminant productivity and safety, as well as the impact of large-scale cultivation of seaweeds on the atmospheric environment. The current research on seaweed still needs to be improved, especially in developing more species with low bromoform content, such as Bonnemaisonia hamifera, Dictyota bartayresii, and Cystoseira trinodis. Otherwise, seaweed is rich in bioactive substances and exhibits antibacterial, anti-inflammatory, and other physiological properties, but research on the role of these bioactive compounds in methane emissions is lacking. It is worthy of deeper investigation to identify more potential bioactive compounds. As a new focus of attention, seaweed has attracted the interest of many scientists. Nevertheless, seaweed still faces some challenges as a feed additive to ruminants, such as the residues of heavy metals (iodine and bromine) and bromoform in milk or meat, as well as the establishment of a supply chain for seaweed cultivation, preservation, and processing. We have concluded that the methane-reducing efficacy of seaweed is indisputable. However, its application as a commercial feed additive is still influenced by factors such as safety, costs, policy incentives, and regulations.

Влияние содержания действующего вещества в родентицидном средстве на эффективность дератизационных обработок

House mice, gray rats and other mouse-like rodents pose a threat to human health and cause significant damage to its activities. Despite significant advances in deratization practice, rodent control currently remains a significant problem, since these biological species have a unique genetic ability to rapidly recover and increase their numbers. The rodent control program should be based on data on the ecology, behavior and preferences of rodents, their sensitivity to active substances, the specific situation of a certain object and territory. Each species has its own characteristics. It is necessary to take into account species preferences when developing the composition and form of application of rodenticidal baits. It is important to ensure the achievement of target values in the consumption of the product by rodents, its effectiveness, safety in relation to non-target species and safety during its placement and use. It is necessary to take into account what concentration of the active substance (DV) for rodents will be fatal, how much rodenticidal bait will be required for their death and for how long this amount of bait will be eaten by them. The effectiveness of the conducted deratization treatments is directly influenced by the content of the active substance in the applied rodenticidal agent. The analysis of the effectiveness of rodenticidal baits with different contents of the active substance bromadiolone in relation to house mice and gray rats showed that with a decrease in the concentration of DV in the bait, the period from the beginning of its eating to the onset of irreversible changes in the body of rodents leading to their death occurs. The placement of baits during deratization treatments should take place taking into account the species characteristics of rodents. In terms of body weight, the amount of absorbed DV by the body of a house mouse in comparison with a gray rat when eating rodenticidal bait is significantly higher, which is observed in the average daily and total intake. But in quantitative terms, gray rats consume significantly more bait. For the death of a house mouse, an average of about 8 g of bait is required with a bromadiolone content of 0.005?%, and the minimum amount was 3.2 g. For a gray rat, the average amount of bait was 32.4 g, and the minimum ~ 10 g. Taking into account these data, the amount of bait placed at the facility will vary from the number of rodents and the feedability of baits. A lower content of DV in baits contributes to an increase in their consumption during deratization treatments. With a high number of rodents, the amount of bait placed must be multiplied. Keywords: synanthropic rodents, gray rat, house mouse, deratization measures, anticoagulants, bromadiolone.

Evaluation of Characteristics Associated with Self-Identified Cat or Dog Preference in Pet Owners and Correlation of Preference with Pet Interactions and Care: An Exploratory Study.

Dog and cat preference has been associated with a few factors, like owner personality traits, but data regarding other aspects of preference ontogeny and the impact of preferences on pet wellbeing have yet to be examined. In this exploratory study, several of these characteristics, such as exposure to pets when young and as adults and current pet interactions and diet were analyzed from internet survey data. We found that more people identified as dog people (63.3%) versus cat people (36.7%) and preference for dogs remained consistent from childhood to adulthood compared with cats. In individuals who changed species preference, a lack of childhood exposure to cats (47.2%) was significantly associated with the group that changed preferences from dogs to cats from childhood to adulthood, compared with dog ownership as a child in the group that changed preferences from cats to dogs (24.4%). The number of cats and dogs in the home directly correlated with species preference (p < 0.001). Dwelling location was also significantly associated with species preference, with cat people being more likely to live in an urban area and dog people in a rural area (p = 0.002). More time was spent in both active and passive interactions with pets of the preferred species. Cats owned by cat people were more likely to be fed prescription diets compared with cats owned by dog people (p < 0.001). Interestingly, dog people were more likely to feed both their cats (p = 0.012) and dogs (p < 0.001) a raw diet compared with cat people. Additional research is needed to understand the development and impact of owner species preferences on pets to identify risks of suboptimal wellbeing.

Farmers’ traditional knowledge on seasonal frost management and their tree preferences in frost affected highlands of Amhara region, Ethiopia

Extreme environmental conditions, such as high temperature, frost, low humidity and desiccating winds, are the main causes for the failure of plantation forests in Ethiopia. Frost damage contributes to the low seedling survival and plantation success in frost affected highlands of Amhara region Ethiopia. Research outputs on farmers' traditional knowledge on frost management and technologies that curb frost related problems are limited in the country. This study was conducted to document the farmers’ traditional knowledge on frost management and their tree preference in frost affected highlands of Amhara region. Sinan, Guna-begemder and Meket districts were selected purposively in 2020. One representative sample Kebele was selected in each district with a total of 204 households selected with systematic random sampling technique for interview. In addition to interview focus group discussion was also conducted. Both descriptive and inferential statistics data analysis method were employed. In this study, frost was found to be an important limiting factor for plantation development in the study area. Frost occurs, mainly, from September to January. The local community applies traditional frost management techniques. The seasonality of frost occurrence and type of traditional frost management practices varied among the studied Kebeles. Eucalyptus globulus, Oldeania alpina, Rhamnus prinoides and Chamaecytisus palmensis were preferred trees species due to their frost resistant performance. The effectiveness of identified traditional frost management techniques needs to be investigated before they can be promoting and disseminating. Farmers should also be trained in proper techniques to protect planted seedlings from frost damage. Adjusting the timing of planting may also help to mitigate the effect of frost damage.

Changing Nepali children's attitudes toward conservation through a participatory education program.

People's attitude toward wildlife is known to affect the success of conservation programs. Public education can increase support for conservation measures by providing the knowledge necessary to make informed decisions, improve pro-environmental behaviour and potentially enlist participation. To that end, we developed a participatory conservation education program in Nepal with a target audience of secondary school students. Our lessons emphasized ecological balance by highlighting the roles of individual species, including the rhesus macaque (Macaca mulatta). This species presents a challenge for educating the public about maintaining balance in nature, because although an important seed disperser and species of religious significance, macaques are frequently involved in human-wildlife conflict and considered a pest species. We evaluated the impact of our program by surveying students from six socioeconomically similar schools, four that participated in our program and two that had not. Our questionnaire was comprised of knowledge questions about local wildlife and conservation issues, an open-ended listing exercise to determine species preferences, and statements that elicited students' opinions regarding empathy toward animals. Knowledge about and attitude toward wildlife, including M. mulatta, were greater in students that participated in the program. More importantly, these students were more likely to understand the role individual species play in a balanced ecosystem, how human behaviour can negatively impact wildlife, and how they could participate in conservation efforts. Gender was not a factor in any response. We discuss the merits of using a participatory learning platform in a standalone education program that has long-term purpose, funding, and buy-in.

Mapping the constituent preference of tree species for capturing particulate matter on leaf surfaces using single-particle mass spectrometry and supervised machine learning

Respiratory health is negatively influenced by the dimensions and constituents of particulate matter (PM). Although mass concentration is widely acknowledged to be key to assessing dust retention by urban trees, the role of plant leaves in filtering PM from the urban atmosphere, particularly regarding the particle dimensions and chemical constituents of retained PM on the leaf, remains elusive. Here we combined single-particle aerosol mass spectrometry and a particle resuspension chamber to investigate how urban tree species capture PM constituents. Results indicate that leaves are efficient in capturing relatively larger particles (1.0–2.0 μm). Compositionally, airborne particles were mostly composed of elemental carbon (EC, 20%), organic carbon (OC, 17%), and secondary reaction products (13%). However, leaf surfaces revealed a preference for retaining crustal species, comprising 55% of captured particulates. Notably, specific tree species demonstrated varied affinities for different PM constituents: Osmanthus fragrans Lour. predominantly captured levoglucosan (LEV), indicative of its efficiency against biomass burning particles, whereas Cinnamomum camphora (L.) J.Presl and Sabina chinensis var. kaizuca W.C.Cheng & W.T.Wang were more effective in capturing heavy metals (HMs). XGBoost modelling identified indicator ions, e.g., CN−, NO3−, NO2−, PO3−, with SHAP values surpassing 0.035, suggesting a preferential adsorption of these ions among different tree species. These findings demonstrate that the particulate capture efficiency of urban tree species varies with species-specific leaf properties, particularly in their ability to selectively adsorb particles containing hazardous constituents such as LEV and HMs. This study provides a scientific basis for the strategic selection of tree species in urban forestry initiatives aimed at improving air quality and public health.

Ethnobotanical survey of multipurpose, medicinal and wild edible plants in the upper Gibe watershed landscapes, West Shewa zone, Ethiopia

Plants provide multiple ecosystem services that can, directly and indirectly, benefit the local community and beyond. This study assessed the diversity of the multiple uses of medicinal plants (MPs) and wild edible plants (WEPs) as well as associated local knowledge in Bako Tibe District, Ethiopia. Based on the recommendation of local authorities, eight key informants were selected out of the general informants (48) at eight sites. Ethnobotanical data were quantitatively analyzed through the use of use values, pairwise comparisons, and reference and direct matrix rankings. In total, 74 species from 61 genera and 36 families were found to have multiple uses. The Fabaceae family had the highest number of species (11), followed by the Moraceae family (eight). Trees were represented by 31 species. Twenty species were used to treat 22 human and livestock ailments. The highest preference ranking was recorded for Ocimum lamiifolium for treating febrile illness. Leaves (55.2%) and fruits (13 species) were the most commonly used parts for MP and WEP species, respectively. The highest use value was recorded for Cordia africana, among the top 10 multipurpose species. The findings showed that the most preferred MP and WEP species need further phytochemical and food nutritional analysis, respectively.

Obtaining phenolic-rich extracts from tree nut shells biomass by room temperature green extraction: Molecular insights and attribution analysis

The recycling of tree nut shells biomass (TNSB), a million-tons level inedible food waste, toward food and drug applications should be one of the most promising valorization pathways. However, therein biggest opportunity and challenge is to fully dig for treasure such as its own high-value biomacromolecules and natural active ingredients. This study completed a food and drug grade extraction by using five TNSB sample (i.e., walnut shell, hazelnut shell, macadamia shell, pin nut shell, and pistachio shell), two green solvents (water and ethanol), and cleaner room temperature green extraction (RTGE) technology; and revealed the molecular basis of the raw materials and their extracts through systematic and in-depth molecular analysis. The results showed that TNSB have extremely high lignin content, and their extracts (whether water or ethanol) are rich in phenolic compounds, which results in the latters having extremely strong antioxidant activities (comparable to vitamin C) and α-amylase inhibitory activities (comparable to acarbose). More specifically, walnut shell has the highest ever lignin content of 57% in all reported biomass. The water extract of walnut shell has more excellent properties, such as 147.65 mg/g of total reducing sugars (TRS), 60.49% of total phenolic content (TPC), 0.24 mg/mL of IC50, DPPH, 0.08 mg/mL of IC50, ABTS, and 13.44% of α-amylase inhibitory activity. Further molecular information shows that these reducing sugars are glucose, fructose, arabinose and fucose, and these phenolic compounds include phenol, vanillin, vanillic acid, p-hydroxybenzoic acid, gentisic acid, gallic acid, protocatechuic acid, epicatechin, caffeic acid, and (trans)catechin. These results demonstrate fully that TNSB will become the preferred feedstock species for lignin-first biorefinery in the future, and walnut shell is undoubtedly the best one. Furthermore, TNSB-based RTGE extracts have the potential to be developed into natural antioxidants, preservatives, diabetes-therapeutic pharmaceutical preparations, nutraceutical and functional foods. In addition, we also used XLSTAT software to conduct a systematic attribution analysis, namely, principal component analysis (PCA) and agglomerative hierarchical clustering (AHC), revealing the inner relationship between the multifactors including TRS, TPC, DPPH, ABTS and α-amylase inhibitory activity among TNSB species.

Mule deer selection of fuel reductions is restricted by site fidelity and structured by circadian and seasonal patterns

Forests in the western US have undergone a profound transformation over the last 100 years due to chronic fire suppression and a cycle of extensive timber harvest followed by little silvicultural activity. Forested landscapes in this region are now dominated by intermediate age, denser stands of coniferous trees that reduce transmission of light and precipitation to the understory, with potential consequences for ungulate nutrition. We used a 20-year dataset of mule deer locations (560 animal-years of data) to evaluate long-term patterns of selection of forest stands that had been thinned and burned compared to untreated reference stands. We evaluated within home-range (3rd order) selection at 3 temporal scales (hourly, daily, annually) and landscape-scale (2nd order) use annually. We found that annual selection of treated stands during summer generally increased with two peaks, once immediately after treatments were applied and again 15 years later. Mule deer also showed strong seasonal and temporal patterns in selection of treated forest stands. Deer selected treated stands at night in July and August immediately after treatments. After 4–6 years, mule deer selected treated stands both during the day and at night in May, July, and August, but with stronger selection at night. We hypothesize that preference for treated forest stands were driven by differences in forage quantity and quality among forest stands. Vegetation surveys during years of peak selection showed that treated stands had significantly higher biomass and digestible energy of neutrally selected forage and lower biomass of avoided forage species, although there was no difference in biomass of preferred forage species. A subset of female mule deer with multiple years of data did not shift home ranges to overlap with treated forest stands over time (2nd order use) but did show increasing selection over time for treated forest stands within their home ranges (3rd order). Our results show that thinning and burning of forest stands can benefit mule deer both immediately and for up to 15 years after treatment and that researchers should evaluate temporal and seasonal patterns in studies of habitat selection. Given the diverse habitat needs of mule deer, treatments would be most beneficial if they were scattered across large landscapes and staggered in time to provide a diversity of forage and cover types.

Assessment of factors influencing fuelwood utilization in Makurdi metropolis, Benue state, Nigeria

The study was conducted to assess the factors influencing the utilization of fuelwood in Makurdi metropolis due to the paucity of information on the factors in the area. Simple random sampling technique was used to select 125 people in 25 houses from five locations in the study area. Data for the study was obtained through a semi-structured questionnaire, interview, and personal observation. Field data was analyzed using descriptive, Likert scale rating and regression models. Results of analysis of field data show that seven tree species were utilized for fuelwood in the study area with Prosopis africana (34%) being the most preferred fuelwood spp utilized while Burkia africana (2.1%) was the least utilized fuelwood spp. The Multilinear regression model was selected as the best-fit model in explaining the factors influencing fuelwood utilization in the study area based on its high r2 value and low standard error estimated compared to the other three regression models. None of the socioeconomic variables investigated had a significant influence on fuelwood utilization (P &gt; 0.05). However, age, income, family size, unit price, and availability of the commodity positively influence fuelwood utilization in the study area. The socioeconomic factors were able to explain 67% of the variation in fuelwood utilization in Makurdi Metropolis. Fuelwood is highly utilized in the area. Therefore, the conservation of the preferred fuelwood tree species in community forests and agroforestry practices should be encouraged by the Government, Non-governmental organizations (NGOs), and private individuals to enhance the sustainability of the resource.

Varying soil moisture and pH with alpine meadow degradation affect nitrogen preference of dominant species

Varying soil moisture and pH with alpine meadow degradation affect nitrogen preference of dominant species

Ethnozoological study of medicinal animals used by the inhabitants of the Kucha District, Gamo Zone, Southern Ethiopia

BackgroundAn ethnozoological study of medicinal animals in the Kucha district, Gamo zone, Southern Ethiopia, was conducted to investigate and document the use of traditional medicinal animals and the associated indigenous knowledge. Tribal people still make abundant use of animals and their parts to manage diseases in humans and even livestock.MethodA cross sectional study design and purposively sampling techniques were used. Data were collected from 132 respondents based on semi structured questionnaires. Focus group discussions (FGD) and Key informant interviews (KII) were conducted; Fidelity level (FL), Relative frequency of citation (RFC) and Informants’ consensus factor (ICF) were used to analyze species preference and importance.ResultsA total of 24 medicinal animals were identified with 13 species (54.2%) being mammals of which 5 species (20.8%) dominated. They were followed by arthropods, reptiles and fishes. Seven out of the total were domestic species (29%) and 17 (70%) were wild animals. The majority of these animals, i.e. 22 (91.7%), were used to treat human ailments; whereas 2 (8.3%) were used to treat livestock ailments. The ICF values varied from 0.8 to 1.The highest FL value (98%) was linked to the cow (cattle), the lowest (1.5%) to the scorpion. The RFC value (1.0) was highest for the cow and lowest (0.02) for the scorpion. Honey, milk, and butter were the most commonly used therapeutic animal products, but regarding direct uses, fresh/raw meat dominated. Out of ten ailment categories, headaches had the lowest ICF value (0.8). All others scored at least 0.9.ConclusionsIn rural areas, sick people often do not only have limited access to modern medical facilities, they actually prefer traditional treatments considering them to be more reliable and effective. It is therefore important to focus on documenting, conserving, and safeguarding the indigenous knowledge so that strategies to manage the traditional wisdom can be implemented in the future. To achieve these goals, it is important to make sure that medicinal animal species are available in sufficient numbers and neither threatened by habitat changes or overexploitation.

Functional traits and habitat use: Investigating community assembly in a montane community (Carabidae: Nebria)

AbstractThe processes that influence community assembly, such as competition for resources and environmental filtering, are often scale dependent and vary across ecotones. Trait‐based ecology provides a useful framework for testing which ecological processes most strongly influence local community composition, especially across environmental gradients where species diversity varies. Where environmental filtering dominates, species distributions are expected to be defined by strong turnover along environmental gradients, with more similar species occupying more similar habitats. Where interspecific competition dominates, species are expected to diverge in relative abundance and resource utilization at sites, so species can co‐occur. Here, we integrate measurements of functional traits, microhabitat usage, isotopic composition (δ15N and δ13C), and abundance to test the importance of environmental filtering and resource/habitat partitioning in shaping a montane ground beetle species assemblage (Carabidae: Nebriini: Nebria) in the isolated, volcanic peaks of the northern Cascades Range, USA. Across species of Nebria, body size, pronotal shape, temperature preference, and isotopic enrichment varied across habitats ([gravel, rocks 10 cm–50 cm in diameter], large rocks [&gt;50 cm in diameter], vegetation‐covered rocks, and alpine [snowfields and talus]), and habitat/microhabitat features were reliable predictors of species presence. Resource consumption among mid‐elevation species on Mt. Rainier—the peak with the greatest species diversity—is highly overlapping. Species turnover and nestedness varied significantly across habitat gradients and peaks throughout this region and varied nearly significantly across sites. Across habitat types and sites, more similar species are more likely to coexist. These results suggest that environmental filtering is the primary process structuring this species assemblage, although we find detailed evidence for microhabitat niche partitioning among species of Nebria at the site scale.

A statistical-physics approach for codon usage optimisation

The concept of “codon optimisation” involves adjusting the coding sequence of a target protein to account for the inherent codon preferences of a host species and maximise protein expression in that species. However, there is still a lack of consensus on the most effective approach to achieve optimal results. Existing methods typically depend on heuristic combinations of different variables, leaving the user with the final choice of the sequence hit. In this study, we propose a new statistical-physics model for codon optimisation. This model, called the Nearest-Neighbour interaction (NN) model, links the probability of any given codon sequence to the “interactions” between neighbouring codons. We used the model to design codon sequences for different proteins of interest, and we compared our sequences with the predictions of some commercial tools. In order to assess the importance of the pair interactions, we additionally compared the NN model with a simpler method (Ind) that disregards interactions. It was observed that the NN method yielded similar Codon Adaptation Index (CAI) values to those obtained by other commercial algorithms, despite the fact that CAI was not explicitly considered in the algorithm. By utilising both the NN and Ind methods to optimise the reporter protein luciferase, and then analysing the translation performance in human cell lines and in a mouse model, we found that the NN approach yielded the highest protein expression in vivo. Consequently, we propose that the NN model may prove advantageous in biotechnological applications, such as heterologous protein expression or mRNA-based therapies.

Ethnobotanical study of medicinal plants of the Abohoy Gara Mountains, Northern Ethiopia

IntroductionFor many years, medicinal plants have been used in Ethiopia to manage a wide range of diseases. Documenting use of the plants for traditional medicine is necessary bases for obtaining new lead bioactive plant based natural products for the discovery of allopathic drugs, preserving the associated local knowledge and medicinal plants. This study aimed to document ethnobotanical knowledge associated with medicinal plants, parts used, route of preparations, and mode of administration. MethodsThe study was conducted from February 2017 to March 2018. The data were collected by interviewing 177 (139 male and 38 female) informants. Semistructured interviews, group discussions, guided field waks and quantitative approaches, such as informant consensus factors and ranking were used to collect and quantify the data. The data were analysed using Microsoft Excel, t test and analysis of variance (ANOVA). ResultsA total of 57 medicinal plant species belonging to 51 genera in 36 families were used by local people to prevent various ailments. The Asteraceae was the dominant family contributing the greatest number of medicinal plants. Leaves were the most widely used plant parts for treating human ailments (20, 56.7 %). Most of the collected traditional medicinal plants were used for treating human ailments directly (11, 28 %), while crushing was the most common method of preparation for treating livestock ailments (42, 70.2 %). Half of the herbal medicines were prepared for internal use, accounting for 31 (54.4 %). The findings showed that Cynoglossum coeruleum was the most preferred species for treating febrilosis, accounting for 33 cases. The highest informant consensus factor (0.83) was obtained for diseases related to febrilosis, and the lowest (0.56) was obtained for diseases associated with livestock (leech infestation and ectoparasites). ConclusionsThis study showed that medicinal plants in the study area, coupled with rich indigenous knowledge, were used by a large member of the population and are the most important means of treating some common ailments. However, medicinal plants in the study district are under pressure due to both natural and anthropogenic influences. Hence, the declining medicinal plants in the area require the application of complementary on-site and off-site conservation approaches.

Logistical and preference bias in participatory science butterfly data

The volume of and interest in unstructured participatory science data has increased dramatically in recent years. However, unstructured participatory science data contain taxonomic biases—encounters with some species are more likely to be reported than encounters with others. Taxonomic biases are driven by human preferences for different species and by logistical factors that make observing certain species challenging. We investigated taxonomic bias in reports of butterflies by characterizing differences between a dedicated participatory semi‐structured dataset, eButterfly, and a popular unstructured dataset, iNaturalist, in spatiotemporally explicit models. Across 194 butterfly species, we found that 53 species were overreported and 34 species were underreported in opportunistic data. Ease of identification and feature diversity were significantly associated with overreporting in opportunistic sampling, and strong patterns in overreporting by family were also detected. Quantifying taxonomic biases not only helps us understand how humans engage with nature but also is necessary to generate robust inference from unstructured participatory data.

Omega-3 fatty acids-critical for the marine food web and for seabird productivity

Abstract Seabird reproductive success in northern latitudes is often linked with prey abundance, availability, size, or species. Causes are often broadly explained as changes in ocean currents/temperatures, or diets. Few studies trace diets down the food web to primary producers, thus missing what I propose as an underlying cause of seabird colony failure, dietary abundance of essential omega-3 polyunsaturated fatty acids (PUFA). PUFA differ from other nutrients because they are, in part, ligands—critical for reproduction and other physiological processes for the entire marine food web, not just for seabirds. Diatoms are one of the few life forms that can produce PUFA de novo, and a lack of PUFA in zooplankton and fish reduces their abundance and productivity, with consequences up the food web. Since the mid-1980s, historical prey of breeding seabirds has decreased, and frequency of colony failures has increased. In years of failure, prey often had less fat than historically preferred species. Likewise, proportions of alternate species’ PUFA, from published papers, show lower values than in historical prey. Production of PUFA by diatoms is depressed in warmer and more acidic environments, and I hypothesize that these warmer and more acidic seas have affected production of PUFA over the past 3–4 decades. Assuming this is true, I propose that these lower amounts of PUFA have negatively impacted the breeding success of all members of the marine food web, not just seabirds.

The habitat preference of commercial tuna species based on a daily environmental database approach in the tropical region of the Eastern Indian Ocean off Java-Bali waters

This paper explores the habitat characteristics of commercial tuna species based on daily oceanography parameters in the Eastern Indian Ocean Off Java-Bali Waters. Moreover, more research is needed combining the daily spatial distribution of oceanographic variables of surface and sub-surface data to analyse the habitat characteristics of large pelagic fish, including tuna species. In this study, we used five main daily oceanography parameters: sea surface temperature (SST), sea surface chlorophyll (CHLa), sea surface height (SSH), dissolved oxygen at 100m (DO100), the temperature at 100m (temp100) and the combination of the catch of yellowfin (YFT), albacore (ALT) and bigeye (BET) tuna that use long lines. To analyse the relationship between the environmental database and tuna catch, we utilized Generalized Additive Models (GAMs) from univariate variables until the combination of all variables. The result stated that all the variables influence the existence of all tuna species with P-values <0.001. Temperature is the most critical predictor variable, SST is the most vital predictor for BET and YFT tuna, and temp100 is the most critical for ALT. The second most essential variables were DO100 for BET, Temp 100 for YFT, and SSH for ALT. Moreover, BET and YFT prefer to stay at a lower temp100, and ALT tuna remains at a higher temp100. However, all of them avoid an SST higher than 29 °C. Further assessment of the long-term SST trend specific to tuna species is required to fully account for the effects of global warming on the oceans.