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Understanding how wildlife responds to the spread of human-dominated habitats is a major challenge in ecology. It is still poorly understood how urban areas affect wildlife space-use patterns and consistent intra-specific behavioural differences (i.e. behavioural types; BTs), which in turn shape various ecological processes. To address these questions, we investigated the movements of a common resident wader, the spur-winged lapwing (Vanellus spinosus), hypothesizing that urban individuals will be more mobile than rural ones. We used an ATLAS tracking system to track many (n = 135) individuals at a high resolution over several months each. We first established that daily movement indices show consistent differences among individuals, acting as spatial-BTs. Then focusing on the two main principle components of lapwings' daily movements—mobility and position along the exploration–exploitation gradient—we investigated how these BTs are shaped by urbanization, season (nesting versus non-nesting) and sex. We found that urban lapwings were indeed more mobile in both seasons. Furthermore, urban females were less explorative than rural females, especially during the nesting season. These results highlight how urbanization affects wildlife behaviour, even of apparently urban-resilient avian residents. This underscores the need to consider possible behavioural consequences that are only apparent through advanced tracking methods. [ABSTRACT FROM AUTHOR]

The fall armyworm Spodoptera frugiperda (Lepidoptera: Noctuidae) is a major phytophagous pest that invaded China in late 2018, posing a serious threat to local agricultural production. Therefore, we investigated the effects of maize, soybean, and sweet potato on the growth, development, and reproduction of S. frugiperda under laboratory conditions. The developmental period of the egg-larval stage was significantly longer when S. frugiperda fed on sweet potato (28.94 days) compared to maize (16.19 days) and soybean (17.82 days). Sweet potato feeding significantly prolonged the pupal period, but this effect was not observed in the adult stage. Spodoptera frugiperda larvae fed on sweet potato had the lowest pupal weight (116.18 mg) and pupation rate (68.19%). The mean fecundity of females significantly differed among the plants, with egg production being highest for insects fed on maize (996.17 eggs) and lowest for those fed on sweet potato (319.28 eggs). Spodoptera frugiperda fed on sweet potato exhibited the smallest net reproductive rate (47.892), lowest intrinsic rate of increase (0.083 day−1), lowest finite rate of increase (1.086 day−1), and longest mean generation time (46.806 days). Overall, S. frugiperda can survive and complete its entire life cycle on all three host plants. [ABSTRACT FROM AUTHOR]

The open ecosystem (e.g. grasslands, prairies, shrublands) tends to be ecologically less stable than closed one (i.e. forests) and encompassess higher spatial heterogeneity in terms of environmental diversity. Such differences are expected to differentially constrain the diversity and structure of the communities that inhabit each of them, but identifying the specific processes driving contrasting biodiversity patterns between open and closed systems is challenging. In order to understand how environmental variability might structure spider assemblages, both between and within open and closed ecosystems, we implement a high throughput multiplex barcode sequencing approach to generate a dataset for 8585 specimens representing 168 species, across the open ecosystem within the Canary Islands. Combining these with spider sequences from the closed ecosystem within the same islands, we show that spider communities in the open ecosystem show higher species richness, higher beta diversity, and higher proportions of rare species but proportionately lower numbers of endemic species than communities in the closed ecosystem. We furthermore assess if environmental heterogeneity and habitat stability are the major drivers of such differences by assessing spatial genetic structuring and the influence of bioclimatic variables. Our results point to environmental heterogeneity rather than stability as a major driver of spatial patterns between open and closed ecosystems. [ABSTRACT FROM AUTHOR]

Unraveling the spatiotemporal dynamics of communities is critical to understand how biodiversity responds to global changes. However, this task is not trivial, as these dynamics are quite complex, and most studies are limited to few taxa at small local and temporal scales. Tropical mountains are ideal indicators of biodiversity response since these endangered and complex ecosystems include many distinct habitats within small geographical areas, harboring a megadiverse fauna, especially insects. Indeed, while insects are particularly sensitive to environmental and climatic changes, the extent of the impact of climate variability on mountain tropical insect diversity remains poorly understood. Here we present time‐series data from a decade of studying the spatiotemporal dynamics of ants, butterflies and dung beetles. We assessed patterns of species richness change along the elevational gradient for each taxonomic group per sampling year and cumulatively over years. We then quantified community changes over time by measuring the variation in species richness across sampling years (temporal trends in α‐diversity), and the temporal variation in species composition (temporal β‐diversity) evaluating species gains and losses over time. We also evaluated the variation of air temperature and humidity through meteorological stations within the sampling years. We detected a classical pattern of species richness decline with elevation, albeit with a noticeable increase in species richness variation with increasing elevation. The temporal β‐diversity exhibited considerable variability across elevations, taxa, and time. Only dung beetles presented a positive relationship with humidity variation over the years. Critically, both rare and common species drove extirpations and colonizations, and we found no trend of temporal decline of insect species at local and regional scales. Our study shows that insect metacommunity responses to elevation and global changes are rather complex, and stresses the importance of long‐term studies that incorporate multiple sampling periods and different groups of organisms in tropical mountains. [ABSTRACT FROM AUTHOR]

Purpose: Lipids increase osteoporosis and fracture risk, yet research on Atherogenic Index of Plasma (AIP), bone mineral density declines (BMD), and trabecular bone score (TBS) is limited. This study examined the relationships between AIP, TBS, and BMD in American adults using the National Health and Nutrition Examination Survey (NHANES) data, including the effect of obesity., Methods: Based on data from 3,162 Americans, multivariable logistic regression and a generalized additive model (GAM) were used to analyze AIP, BMD, and TBS. Mediation studies assessed the impact of obesity (BMI) on these relationships. A threshold effect study identified turning points., Results: The average participant age was 47.5 ± 17 years. AIP showed no correlation with BMD after BMI adjustment but was significantly associated with lumbar spine and femoral neck BMD without BMI adjustment. AIP negatively correlated with TBS even after adjusting for covariates. The relationship between AIP and TBS was L-shaped, with a turning point at -0.17. BMI mediated the AIP-BMD relationship by 122.01-131.49% (P < 0.05)., Conclusions: This study found AIP levels associated with decreased TBS and increased BMD, influenced by obesity. AIP may be a valuable tool in evaluating bone metabolism, indicating high BMD but poor TBS, warranting further exploration., Competing Interests: Declarations. Ethics approval and consent to participate: The NCHS Ethics Review Board reviewed and approved studies involving human participants. The legal guardian/next of kin of the participants provided written informed consent for this study. This article contains potentially identifiable images and data obtained with the written consent of the individual(s). Competing interests: The authors declare no competing interests., (© 2025. The Author(s).)

Daily, primates take a variety of decisions to establish why, when, and where to move. However, little is known about the factors influencing and shaping primate daily routes. We investigated the decision-making processes linked to route planning in four groups of black lion tamarins (BLT-Leontopithecus chrysopygus). We studied these endangered platyrrhines within four distinct environmental contexts across their natural distribution (i.e., a continuous forest, a 500-ha forest fragment, a 100-ha forest fragment, and a riparian forest). We used the Change Point Test to identify the points of significant direction change (CPs), which can be considered travel goals along BLT daily trajectories and are key components of travel planning. Considering the high importance of fruits and gum in BLT's diet, we predicted that feeding trees would be the main factor shaping their paths (feeding CPs-FCPs). Also, given previous evidence that platyrrhines use landmarks (i.e., characteristic features from the terrain) as nodes in route network systems (i.e., points of intersection connecting habitual route segments), we expected part of CPs to be located close to the intersection points and to be associated with "locomotion" behavior (LCPs). Analyzing 61 daily paths in four forest fragments, our results showed that BLTs planned routes to reach feeding trees, which primarily determined path orientation. As hypothesized, locomotion was the most frequent behavior observed in CPs, but only in the continuous and riparian forests, with LCPs located as close to intersections as FCPs. Interestingly, these two areas presented the most extreme values (i.e., higher and lower values, respectively) in terms of used area, richness of resources and distances traveled between fruit-feeding trees. Our results suggest that BLTs plan daily routes conditional on the environmental context to reach travel goals, likely to maximize route efficiency to reach out of sight feeding trees., (© 2024 Wiley Periodicals LLC.)

We found that the area of black round or irregular-shaped spots on the tiger's nose increased with age, indicating a positive relationship between age and nose features. We used the deep learning model to train the facial and nose image features to identify the age of Amur tigers, using a combination of classification and prediction methods to achieve age determination with an accuracy of 87.81%., (© 2024 International Society of Zoological Sciences, Institute of Zoology/Chinese Academy of Sciences and John Wiley & Sons Australia, Ltd.)