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We investigate a trapped mixture of Bose–Einstein condensates consisting of a multiple number of P species. To be able to do so, an exactly solvable many-body model is called into play. This is the P-species harmonic-interaction model. After presenting the Hamiltonian, the ground-state energy and wavefunction are explicitly calculated. All properties of the mixture's ground state can, in principle, be obtained from the many-particle wavefunction. A scheme to integrate the all-particle density matrix is derived and implemented, leading to closed-form expressions for the reduced one-particle density matrices. Of particular interest is the infinite-particle-number limit, which is obtained when the numbers of bosons are taken to infinity while keeping the interaction parameters fixed. We first prove that at the infinite-particle-number limit all the species are 100% condensed. The mean-field solution of the P-species mixture is also obtained analytically and is used to show that the energy per particle and densities per particle computed at the many-body level of theory boil down to their mean-field counterparts. Despite these, correlations in the mixture exist at the infinite-particle-number limit. To this end, we obtain closed-form expressions for the correlation energy, namely, the difference between the mean-field and many-body energies, and the depletion of the species, i.e., the number of particles residing outside the condensed modes, at the infinite-particle-number limit. The depletion and the correlation energy per species are shown to critically depend on the number of species. Of separate interest is the entanglement between one species of bosons and the other P − 1 species. This quantity is governed by the coupling of the center-of-mass coordinates of the species and is obtained by the respective Schmidt decomposition of the P-species wavefunction. Interestingly, there is an optimal number of species, here P = 3, where the entanglement is maximal. Importantly, the manifestation of this interspecies entanglement in an observable is possible. It is the position–momentum uncertainty product of one species in the presence of the other P − 1 species, which is derived and demonstrated to correlate with the interspecies entanglement. All in all, we show and explain how correlations at the infinite-particle-number limit of a trapped multiple-species bosonic mixture depend on the interactions and how they evolve with the number of species. Generalizations and implications are briefly discussed. [ABSTRACT FROM AUTHOR]

We introduce an allostery-mimetic building block model for the self-assembly of 3D structures. We represent the building blocks as patchy particles, where each binding site (patch) can be irreversibly activated or deactivated by binding of the particle's other controlling patches to another particle. We show that these allostery-mimetic systems can be designed to increase yields of target structures by disallowing misassembled states and can further decrease the smallest number of distinct species needed to assemble a target structure. Next, we show applications to design a programmable nanoparticle swarm for multifarious assembly: a system of particles that stores multiple possible target structures and a particular structure is recalled by presenting an external trigger signal. Finally, we outline a possible pathway for realization of such structures at nanoscale using DNA nanotechnology devices. [ABSTRACT FROM AUTHOR]

The documentation of medicinal plants is an important baseline for possible extraction, isolation, characterization, and chemical modification of important active cellular chemical contents. This study aims to determine the qualitative phytochemical screening of medicinal plants used by traditional healers in Aurora, Zamboanga del Sur, Philippines. A total of 34 medicinal plants were mentioned by five traditional healers, who willingly shared their knowledge on medicinal plants. These plant species were collected and came from 23 families. The greater number of plant species was represented by families of Poaceae, Euphorbiaceae, Lamiaceae, and Asteraceae with three species each, followed by Malvaceae, Compositae, and Leguminosae with two species each, and the rest of the families were represented by only one species each. In this study, qualitative phytochemical analysis of five selected medicinal plants clearly reveals the medically active cellular phytoconstituents such as terpenoids, anthraquinones, phenols, and saponins that were present in Stachytarpheta jamaicensis, Jatropha gossypiifolia, Impatiens balsamina, Phyllanthus urinaria, and Pseudelephantopus spicatus leaves. These medicinal plants appeared to be rich in chemical contents, widely used in traditional medicine to combat and cure various ailments. The anti-inflammatory, antibacterial, antiviral, antimalarial, antiparasitic, antianalgesic and antioxidant can be attributed to the high anthraquinones, phenols, terpenoids and saponins in the leaves of the five medicinal plants. However, the presence of phytoconstituents like terpenoids, anthraquinones, phenols and saponins should take note importantly by the traditional healers or even community in order to have a better understanding on how the plants combat and cure the specific ailments. Furthermore, the study recommends that all medicinal plants should take care of and the future researchers conduct more studies on phytochemical screening of medicinal plants for better understanding on when and how to use different medicinal plants to treat different ailments. [ABSTRACT FROM AUTHOR]

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In this article, we propose a Poisson-Lindley distribution as a stochastic abundance model in which the sample is according to the independent Poisson process. Jeffery's and Bernardo's reference priors have been obtaining and proposed the Bayes estimators of the number of species for this model. The proposed Bayes estimators have been compared with the corresponding profile and conditional maximum likelihood estimators for their square root of the risks under squared error loss function (SELF). Jeffery's and Bernardo's reference priors have been considered and compared with the Bayesian approach based on biological data. [ABSTRACT FROM AUTHOR]

The artificial breeding of carp existed in China 8000 years ago. The breeding of carp played an important role in ancient Chinese history, and it still played a crucial role in modern aquaculture. The output of carp in China is very high, accounting for 8.42 % of the total output of freshwater products in 2023, ranking fifth in the total output of freshwater aquaculture fish. At the same time, carp is also the fish species with the highest number of new varieties bred in China. With the advent of the genomics era, breeding technologies have also made progress. This paper reviews the history and current status of carp farming, the germplasm resources of carp, and the application of fish genetic breeding technology in the germplasm innovation of carp. [ABSTRACT FROM AUTHOR]

Motivation: Population density is a fundamental parameter in ecology and conservation, and taxonomic and geographic patterns of population density have been an important focus of macroecological research. However, population density data are time‐consuming and costly to collect, so their availability is limited. Leveraging decades of research, TetraDENSITY 1.0 was developed as a global repository containing over 18,000 population density estimates for > 2100 terrestrial vertebrate species, aiding researchers in investigating patterns of population density, its intrinsic and extrinsic drivers, and for developing predictive models. Here we present a substantially expanded version of the database, which now includes marine tetrapods and encompasses over 54,300 estimates for 3717 species associated with error estimates and geographical coordinates when available, hence enabling meta‐analytical approaches and better spatial matching of estimates with environmental conditions. Main Types of Variables Contained: Population density estimates and associated errors, time and location of data collection, taxonomic information, estimation method. Spatial Location: Global. Time Period and Grain: 1925–2024. Major Taxa and Level of Measurement: Amphibia, Reptilia, Aves and Mammalia. Estimates reported at the population level. Software Format:.csv. [ABSTRACT FROM AUTHOR]

Photosynthetic acclimation to both warming and elevated CO2 of boreal trees remains a key uncertainty in modelling the response of photosynthesis to future climates. We investigated the impact of increased growth temperature and elevated CO2 on photosynthetic capacity (Vcmax and Jmax) in mature trees of two North American boreal conifers, tamarack and black spruce. We show that Vcmax and Jmax at a standard temperature of 25°C did not change with warming, while Vcmax and Jmax at their thermal optima (Topt) and growth temperature (Tg) increased. Moreover, Vcmax and Jmax at either 25°C, Topt or Tg decreased with elevated CO2. The Jmax/Vcmax ratio decreased with warming when assessed at both Topt and Tg but did not significantly vary at 25°C. The Jmax/Vcmax increased with elevated CO2 at either reference temperature. We found no significant interaction between warming and elevated CO2 on all traits. If this lack of interaction between warming and elevated CO2 on the Vcmax, Jmax and Jmax/Vcmax ratio is a general trend, it would have significant implications for improving photosynthesis representation in vegetation models. However, future research is required to investigate the widespread nature of this response in a larger number of species and biomes. Summary Statement: Our study demonstrates that there is no interactive effect of warming and elevated CO2 on the photosynthetic capacity (Vcmax and Jmax) of mature trees (~45 years old) of black spruce and tamarack, when grown under realistic field conditions. [ABSTRACT FROM AUTHOR]

Oceanic islands are hotspots of marine biodiversity, and biogeographic and evolutionary studies can provide important knowledge about the origin and diversification of the species that inhabit them. In the South Pacific, the Juan Fernández Archipelago (JFA) stands out for its high endemic biota, most of them endangered by human activities. Currently, two octopus species are recognized in JFA, but their taxonomic identity is not conclusive. In the present study, we performed morphometric and molecular analyses of both species inhabiting the JFA and contrast them with other species worldwide. Morphological, phylogenetic analysis, genetic diversity, and divergence times between species were estimated. Morphometric analysis did not show significant differences in body shape of males between/within Octopus species from JFA, only between females from different localities. However, phylogenetic and species delimitation analyses support the presence of two species in the JFA, namely Octopus mimus and Octopus vulgaris. In addition, both species show evidence of different divergence and colonization histories into the JFA during the Pleistocene. These findings do not only shed light on the identity, origin, and colonization time of the species, but also provide the basis to generate informed decisions on management and conservation. The recent colonization time and low genetic diversity observed in both species suggest that these populations are vulnerable to drastic changes, such as those caused by anthropic effects. [ABSTRACT FROM AUTHOR]

Besides providing key ecosystem services, including improved water quality, coastal protection, and carbon sequestration, seagrasses are highly productive habitat-forming species essential in supporting fish diversity at the global level. In the Mediterranean Sea, seagrasses represent the main component of the sublittoral marine environment hosting a huge number of fish species that use this habitat for reproduction, foraging and/or refuge from predation. However, a complete synthesis of fish species observed in different seagrass habitats is still lacking at the whole Mediterranean basin scale, so hindering a thorough understanding of the main mechanisms involved in determining fish diversity patterns. We performed a systematic review by implementing a semi-automated, threshold-based filtering pipeline that allowed building up a dataset concerning all fish species reported in native Mediterranean seagrasses, including specific functional traits known to be involved with the potential use of seagrasses by fish. These data allowed to carry on a narrative synthesis on fish diversity in seagrass habitats, providing support to several assumptions repeatedly stated in literature but so far sustained mainly by local and fragmented data. Our findings suggested the onset of a general pattern in the occurrence of species, mostly based on life history and driven by body size and feeding habits. We evidenced unexpected knowledge gaps on the role of habitat heterogeneity and fish life stages in determining the presence and the potential use of seagrasses by species. In depth studies are therefore needed to better understand the mechanisms behind the structuring of fish communities, fundamental for the maintenance of marine biodiversity. [ABSTRACT FROM AUTHOR]

We present a novel method for estimating species abundance using presence–absence maps. Our approach takes the spatial context into consideration, distinguishing it from conventional methods. The proposed method is built upon a well-known kernel estimation for point pattern intensity, with the addition of a new parameter representing the mean abundance in each occupied cell. The parameter estimate is obtained through maximum likelihood estimation. The expected abundance corresponds to the integral of the intensity over the study area, which can be estimated by taking the Riemann sum of the intensity. The implementation of our method is straightforward, using existing packages in the R software. We compared various bandwidth selection methods within our approach and assessed the estimation performance against some approaches based on the random placement model or negative binomial model through the simulation study and an empirical forestry data in Barro Colorado Island (BCI), Panama. The results of the simulation and the application demonstrate that our method, with a carefully chosen bandwidth, outperforms the alternatives for highly aggregated data and improves the issue of underestimation. Supplementary materials accompanying this paper appear online. [ABSTRACT FROM AUTHOR]

Deutzia staminea is a deciduous or rarely evergreen shrub, indigenous to Himalayas. It is widely known for its ornamental role. The present study aiming to investigate Bio-spectrum of flower visiting insects and their role in pollination service of Deutzia staminea during blooming season in Kumaun Himalayas, Uttarakhand. A total of 324 individuals, belonging to 25 species under seven families from three orders were recorded visiting the selected plant species. On the basis of total number of individuals, Lepidoptera was the dominant order followed by Hymenoptera and Diptera. In terms of number of species Nymphalidae was the most dominant family whereas, Riodinidae, Vespidae, Syrphidae were the least dominant families. Apis mellifera was recorded as most abundant species whereas, Calliphora vicina was found to be the least abundant species during the study period. [ABSTRACT FROM AUTHOR]

The article discusses how global online trade is contributing to the decline of poison dart frogs, a family of amphibians known as Dendrobatidae. The trade in wildlife species, including amphibians, poses a significant threat to biodiversity, with many species facing extinction due to habitat loss, pollution, diseases, and trade. The research conducted in the article focuses on the online trade of poison dart frogs, highlighting the extent of the trade, the species involved, and the potential impact on conservation efforts. The study found that many dendrobate species are threatened with extinction, with habitat loss and illegal trade being major drivers of their decline. [Extracted from the article]

The solitary oil-collecting bees of the tribes Centridini, Tapinotaspidini, and Tetrapediini inhabit areas from the southern part of the Nearctic Region through the Patagonian in southern South America, including the Caribbean. These bees are morphologically and behaviorally specialized in collecting oils as a reward from specialized floral glandular structures present in oil-producer plants. Oil-producer plants and oil-collecting bees have a mutualistic relationship in which the latter potentially pollinate the formers while collecting oils from their flowers. The main objective of this work is to infer the species richness and the key areas for conservation, research, and sustainable use of oil-collecting bees of the tribes Centridini, Tapinotaspidini, and Tetrapediini in the Americas. We collected occurrence records for 528 species of oil-collecting bees and estimated the species richness for each tribe and genus. In total, we estimated 664 species across the three mentioned tribes. With that baseline information, we created models of the richness and rarity patterns of the entire group of species and each tribe as a criterion to highlight key areas, along with richness and rarity centers for the American oil-collecting bees. We identified several critical areas that can be prioritized for conservation and research projects, including territories in Panama, Costa Rica, the Central and Northern Andes, the Amazon basin, and the biogeographic provinces of Cerrado, Atlantic Forest, Pampean, and Chacoan. Implications for insect conservation: Here we provide crucial information on key diversity areas for oil-collecting bees across the Americas. This information can be used for the conservation, research, and sustainable use of this important group of insect pollinators. [ABSTRACT FROM AUTHOR]

Photosynthetic acclimation to both warming and elevated CO2 of boreal trees remains a key uncertainty in modelling the response of photosynthesis to future climates. We investigated the impact of increased growth temperature and elevated CO2 on photosynthetic capacity (Vcmax and Jmax) in mature trees of two North American boreal conifers, tamarack and black spruce. We show that Vcmax and Jmax at a standard temperature of 25°C did not change with warming, while Vcmax and Jmax at their thermal optima (Topt) and growth temperature (Tg) increased. Moreover, Vcmax and Jmax at either 25°C, Topt or Tg decreased with elevated CO2. The Jmax/Vcmax ratio decreased with warming when assessed at both Topt and Tg but did not significantly vary at 25°C. The Jmax/Vcmax increased with elevated CO2 at either reference temperature. We found no significant interaction between warming and elevated CO2 on all traits. If this lack of interaction between warming and elevated CO2 on the Vcmax, Jmax and Jmax/Vcmax ratio is a general trend, it would have significant implications for improving photosynthesis representation in vegetation models. However, future research is required to investigate the widespread nature of this response in a larger number of species and biomes. Summary Statement: Our study demonstrates that there is no interactive effect of warming and elevated CO2 on the photosynthetic capacity (Vcmax and Jmax) of mature trees (~45 years old) of black spruce and tamarack, when grown under realistic field conditions. [ABSTRACT FROM AUTHOR]

This study analyzed urban forests in cities of the state of Minas Gerais, Brazil, aiming to explore the floristic composition, determine whether native or exotic species predominate, and investigate whether the biome of origin influences species composition. A survey of floristic studies in urban areas conducted in 2002–2023, utilized four databases: Google Scholar, Scopus, Scielo, and Web of Science. The search used the following descriptors: "qualitative analysis", "urban afforestation", "urban forest", "urban green spaces", and "Minas Gerais". Species were classified by origin, i.e., native or exotic, and in relation to their biome (Atlantic Forest, Cerrado, and Caatinga). A total of 407 species were identified, with 56% classified as exotic. The floristic profile of the urban forest was characterized by high richness of Fabaceae and significant representation of species such as Cenostigma pluviosum, Moquilea tomentosa, Terminalia catappa, Ficus benjamina, and Murraya paniculata. A Wilcoxon test revealed a significantly higher number of exotic species than natives. Based on the results of non-metric multidimensional scaling, along with cluster analysis, it was confirmed that the species composition of the urban forest is not related to the biome of origin or associated with the mesoregions of Minas Gerais, demonstrating biotic homogenization. In conclusion, the notable number of exotic species highlights a lack of planning by municipal authorities in developing a Green Infrastructure System. We recommend that species selection for the urban forest composition consider ecological, economic, and sociocultural criteria, consider the biome of local ecosystems, and prioritize the native indigenous species. [ABSTRACT FROM AUTHOR]

ABSTRACT Aim Location Taxon Methods Results Main Conclusions Several lines of evidence have noted that open vegetation biomes in the Neotropics are younger than moist forests, leading us to question which historical processes shaped the current species distribution patterns in these new biome formations. Here we investigate the temporal patterns of speciation and colonisation from surrounding biomes (Amazonia, Atlantic Forest and Cerrado) in the Caatinga historical assembly of squamate species, to understand the role of geomorphological events and climate change in driving its diversification.Neotropics.Squamata (snakes, lizards and amphisbaenians).We used a phylogenetic tree and occurrence data for 459 squamate species distributed throughout four different biomes (Amazonia, Atlantic Forest, Cerrado and Caatinga) to reconstruct ancestral geographic ranges using the R package BioGeoBEARS. We used BAMM to estimate the rates of species diversification.Our results indicate that the current diversity patterns of squamates in the Caatinga were a result of pervasive faunal exchanges from adjacent biomes since the Paleogene, with similar numbers of dispersal events in each source area. The Neogene period was determinant in the diversification process, leading to the current assembly patterns of this group in the Caatinga.The landscape transformation and climate change that increased aridity in northeastern Brazil probably shaped the diversification of dry‐adapted squamates in the Caatinga, like tropidurid lizards. However, the Pleistocene climatic fluctuations associated with the highly heterogeneous gradients of topography, geology, soils, climatic conditions, and different vegetation physiognomies could have facilitated faunal exchange with their neighbouring forested biomes, explaining the current presence of some typical forested lineages inside the Caatinga domain and help us to clarify the current distribution patterns of squamates in this region. [ABSTRACT FROM AUTHOR]

ABSTRACT Aim Location Methods Results Main Conclusions Determining the species distribution and factors shaping it is a major challenge for conservation planning. Ecological niche models (ENMs) facilitate the comprehension of how environmental factors may influence species occurrence, providing spatially explicit information relevant to conservation. Therefore, our aim was to estimate the potential distribution of key habitat‐forming Mediterranean gorgonians, whose conservation would protect many co‐occurring species.Mediterranean Sea.We modelled the potential distribution of the Mediterranean gorgonians Eunicella singularis, Eunicella cavolini, Paramuricea clavata and Corallium rubrum, using an ensemble ENM that combines nine algorithms. An extensive dataset of presence records (> 4378) collected through scientific surveys and citizen‐science was intersected with oceanographic and topographic information within the coralligenous habitat depth range (< 150 m). This approach was used to map the habitat suitability of the study area for each species, assess related uncertainty, identify the most important factors shaping their distribution, and evaluate the overlap with the current network of Marine Protected Areas.The model identified higher habitat suitability for the occurrence of each gorgonian species in the NW Mediterranean, with roughness and temperature as the main drivers of their distribution. Conversely, the poorly sampled SE Mediterranean showed low habitat suitability, although there is a greater uncertainty associated with this estimate. The combined potential distribution of the four species is estimated to cover a quarter of Mediterranean shallow and mesophotic waters, but only 19% was included within protected areas.The habitat suitability and uncertainty maps provide a valuable tool for the conservation and management of Mediterranean gorgonian species by offering spatially explicit information critical for marine spatial planning. The model estimates of habitat suitability showed low uncertainty for most of the study area, with few exceptions in the SE Mediterranean. Further studies, particularly in the SE Mediterranean will contribute to validate these results and will provide new information to improve future modelling efforts. [ABSTRACT FROM AUTHOR]

The study of species' environmental niches underpins numerous questions in ecology and evolution and has increasing relevance in a rapidly changing world. Environmental niches, characterized by observations of organisms, inform about a species' specialization in multivariate environment space and help assess their exposure and sensitivity to changing conditions. Environmental niches are also the central concept behind species distribution models (SDMs), which quantify and predict the geographic variation in environmental suitability. Despite the clear role of past evolutionary processes in shaping contemporary biodiversity distribution, the assessment of multivariate or n‐dimensional (where n is the number of environmental axes) niches in a phylogenetic framework has remained limited and constrained by restrictive assumptions. This hampers important existing and emerging applications, such as assessments of niche conservatism, estimates of species' adaptive potential under changing climates, and prediction of niches in less‐studied parts of the tree of life. Here, we introduce a framework that extends SDMs to estimate n‐dimensional environmental niches jointly with underlying evolutionary processes. Specifically, we fit the relationship between niche similarity and phylogenetic distance as a latent Gaussian process across all species in a clade. We demonstrate mathematically how the parameters of the Gaussian process can be linked to existing traditional evolutionary models. Simulations indicate that the approach successfully recovers niche and evolutionary parameters. Applied to two clades of hummingbirds, the presented joint framework uncovers the relationships among species' niches in phylogenetic space and supports the quantification and hypothesis testing of niche evolution. A key advantage of the presented framework is its joint estimation of the evolutionary process alongside niches directly from species observations with uncertainty propagated to evolutionary model parameters. The proposed approach has the potential to increase the robustness of inference about niche evolution and improve understanding of how the processes of niche formation and evolution interact. [ABSTRACT FROM AUTHOR]

Climate change and natural land conversion are causing dramatic shifts in species distribution. Amphibians and reptiles, ectothermic animals with limited dispersal ability, and Mediterranean mountain ranges, which are home to numerous locally adapted taxa, are especially vulnerable to these threats. This is the case with Cilento, a highly biodiverse yet under‐investigated area in the southern Apennine Mountains that is protected by a National Park and 30 Natura 2000 sites. We used bias‐corrected species distribution models and area of habitat (AOH) maps to assess the potential combined impact of climate and land‐use change on 11 amphibians and 16 reptiles in the Park and overlapping Natura 2000 sites. The former estimates species climatic suitability (CS) by correlating species presence to climatic characteristics, whereas the latter classifies the land‐use types based on species–habitat relationships. We estimated CS and AOH for current conditions and two climate and land‐use/cover change scenarios: one of sustainability (SSP1‐2.6) and one of fossil‐fueled development (SSP5‐8.5). Under both scenarios, most species showed significant CS loss, with the greatest declines estimated for amphibians and under SSP5‐8.5. Highland species appear to be the most vulnerable, whereas lowland species may gain CS. Given the widespread renaturalization of agricultural land under both scenarios, most species did not show declines in AOH due to land‐use change. However, all species were projected to face significant shifts in CS under both scenarios, presenting a crucial challenge to their survival. These findings offer valuable insights for climate mitigation initiatives aimed at securing the long‐term protection of herpetofauna within Cilento's protected areas. [ABSTRACT FROM AUTHOR]

Analytic reproducibility is important for scientific credibility in ecology, but the extent to which scientific literature meets this criterion is not well understood. We surveyed 497 papers published in 2018–2022 in 9 ecology‐related journals. We focused on papers that used hierarchical models to estimate species distribution and abundance. We determined if papers achieved two components of analytic reproducibility: (1) availability of data and code, and (2) code functionality. We found that 28% of papers made data and code available, and 7% of papers provided code that ran without errors. Our findings indicate that analytic reproducibility remains the exception rather than the rule in ecology literature. We recommend authors (1) test code in a separate clean environment; (2) simplify code structure; (3) minimize software packages used; and (4) minimize code run time. We suggest journals (1) validate authors' provided open data statements and URLs; (2) recommend that code and data be shared in a separate repository rather than as appendices; and (3) elevate the status of code and data during review. We suggest these guidelines can aid the ecology community by improving the scientific reproducibility and credibility of ecological research. [ABSTRACT FROM AUTHOR]

Hurricanes are natural phenomena, but anthropogenic climate change will cause hurricanes to be stronger and more frequent in the future. It has long been known that hurricanes impact plants and animals, but only recently has the impact on biodiversity been mapped globally, showing that species at risk of extinction due to hurricanes are largely restricted to tropical islands. Tropical islands harbor many plants and animals found nowhere else, many of which are currently threatened, and tropical islands have already suffered a disproportionate number of species extinctions due to human activity and introductions of non-native species. The big question is whether species on tropical islands are adapted to hurricane disturbance and will be able to cope with stronger and more frequent storms, or whether tropical islands will see a wave of hurricane-induced extinctions in the future. Here, we discuss this question and how hurricanes will reshuffle interactions between species — such as those between nectarivorous birds and their flowers — and will alter evolutionary trajectories for coadapted species. Moreover, we discuss the role of life history and other taxa-specific traits, such as diet preferences and dispersal ability, both to survive the direct and indirect impact of hurricanes and to recolonize islands when local populations have been eliminated. We also highlight how topographic complexity and island area may buffer against hurricanes; thus, biodiversity on small and low-lying islands should be more impacted than biodiversity on large and mountainous islands. We end by discussing conservation efforts to diminish the detrimental ecological and evolutionary effects of stronger and more frequent hurricanes on tropical islands. Dalsgaard and Temeles discuss the potential of hurricanes to pose a greater threat to island species and their evolution. [ABSTRACT FROM AUTHOR]

Understanding the nature of intermediates/active species in reactions is a major challenge in chemistry. This is because spectator species typically dominate the experimentally derived data and consequently active phase contributions are masked. Transient methods offer a means to bypass this difficulty. In particular, modulation excitation with phase‐sensitive detection (ME‐PSD) provides a mechanism to distinguish between spectator and reacting species. Herein, modulation excitation (ME) time‐resolved (energy dispersive) X‐ray absorption spectroscopy, assisted by phase sensitive detection (PSD) analysis, has been applied to the study of a liquid phase process; in this case the classic ferrocyanide/ferricyanide redox couple. Periodic switches of the electrical potential (anodic/cathodic) enabled the use of the ME approach. Structural changes at fractions as low as 2 % of the total number of electroactive species were detected within the X‐ray beam probe volume containing ~30 pmol of Fe(II)/Fe(III). [ABSTRACT FROM AUTHOR]

Macroecologists traditionally emphasized the role of environmental variables for predicting species distribution and abundance at large scale. While biotic factors have been increasingly recognized as important at macroecological scales, producing valuable biotic variables remains challenging and rarely tested. Capitalizing on the wealth of population density estimates available for African savannah ungulates, here we modeled species average population density at 100 × 100 km as a function of both environmental variables and proxies of biotic interactions (competition and predation) and estimated their relative contribution. We fitted a linear mixed effect model on 1043 population density estimates for 63 species of ungulates using Bayesian inference and estimated the percentage of total variance explained by environmental, anthropogenic, and biotic interactions variables. Environmental and anthropogenic variables were the main drivers of ungulate population density, with NDVI, Distance to permanent water bodies and Human population density showing the highest contribution to the variance. Nonetheless, biotic interactions altogether contributed to a quarter of the variance explained, with predation and competition having a negative effect on species density. Despite the limitations of modelling biotic interactions in macroecological studies, proxies of biotic interactions can enhance our understanding of biological patterns at broad spatial scales, uncovering novel predictors as well as enhancing the predictive power of large-scale models. [ABSTRACT FROM AUTHOR]

ABSTRACT The isolated river drainages of eastern North America serve as a natural laboratory to investigate the roles of allopatry and secondary contact in the evolutionary trajectories of recently diverged lineages. Drainage divides facilitate allopatric speciation, but due to their sensitivity to climatic and geomorphological changes, neighboring rivers frequently coalesce, creating recurrent opportunities of isolation and contact throughout the history of aquatic lineages. The freshwater mussel Quadrula quadrula is widely distributed across isolated rivers of eastern North America and possesses high phenotypic and molecular variation across its range. We integrate sequence data from three genomes, including female‐ and male‐inherited mitochondrial markers and thousands of nuclear encoded SNPs with morphology and geography to illuminate the group's divergence history. Across contemporary isolated rivers, we found continuums of molecular and morphological variation, following a pattern of isolation by distance. In contact zones, hybridization was frequent with no apparent fitness consequences, as advanced hybrids were common. Accordingly, we recognize Q. quadrula as a single cohesive species with subspecific variation (Q. quadrula rumphiana). Demographic modeling and divergence dating supported a divergence history characterized by allopatric vicariance followed by secondary contact, likely driven by river rearrangements and Pleistocene glacial cycles. Despite clinal range‐wide variation and hybridization in contact zones, the process‐based species delimitation tool delimitR, which considers demographic scenarios like secondary contact, supported the delimitation of the maximum number of species tested. As such, when interpreting species delimitation results, we suggest careful consideration of spatial sampling and subsequent geographic patterns of biological variation, particularly for wide‐ranging taxa. [ABSTRACT FROM AUTHOR]

Woodlice (Isopoda: Oniscidea) constitute a diverse and ecologically significant group inhabiting a great variety of ecosystems with a crucial role for ecosystem functioning, but strongly overlooked in conservation efforts and threats to species and populations are hardly studied. In this study, we evaluate for the first time the potential impact of an emerging unregulated trade on the woodlice of Spain. We conducted a search for all Spanish species nationally and internationally traded via online shops and studied various aspects of the nature of this market and its tendency. We found 56 species currently traded in international stores, and an additional 30 species through transactions on social media. Furthermore, the amount and number of species are increasing and far from stabilising, with higher prices paid for endemic than non‐endemic species. This situation puts pressure on local populations, potentially inducing local extinctions, affecting ecosystem functioning. Other potential future threats such as genetic contamination of native populations and the introduction of alien species cannot be ruled out. The conservation of woodlice faces significant challenges due to a lack of assessments of species conservation status and conservation action plans for the most affected species. We propose preventive measures, such as the creation of whitelists or blacklists, essential to protect (endemic) species and mitigate the threat of invasive species. [ABSTRACT FROM AUTHOR]

Groundwater-fed helocrene springs constitute hydrologically heterogeneous environment, vulnerable to human and climate-induced changes. Using quantitative samples of clitellate assemblages, we investigated whether hydrologically stable nearby streams can serve as refugia for species inhabiting helocrenes, prone to seasonal desiccation. As water conductivity constitutes the main environmental gradient of helocrene springs, we categorized them as low or high-conductivity sites and compared their assemblage diversity. We hypothesized that the spring–stream association can change along this gradient, expecting assemblage homogenization is promoted by high tufa precipitation, creating differences with tufa-free nearby streams. Contrary to this prediction, the assemblages of low-conductivity helocrenes were more homogeneous, being also significantly different from those in the streams. This result is related to the apparently more favorable tufa-free substrate at low-conductivity fens, as shown by the high taxa richness and the number of indicator species. Contrary to the other invertebrates, the clitellates differed between spring fens and streams only under acidic conditions. It seems that small adjacent streams can only serve as potential refugia for spring fen biota at sites with high conductivity, while at sites with low conductivity, clitellate assemblages differ more from those in adjacent streams and thus are more susceptible to disturbance. [ABSTRACT FROM AUTHOR]

Fungi are arguably the most diverse eukaryotic kingdom of organisms in terms of number of estimated species, trophic and life history strategies, and their functions in ecosystems. However, our knowledge of fungi is limited due to a distributional bias; the vast majority of available data on fungi have been compiled from non-tropical regions. Far less is known about fungi from tropical regions, with the bulk of these data being temporally limited surveys for fungal species diversity. Long-term studies (LTS), or repeated sampling from the same region over extended periods, are necessary to fully capture the extent of species diversity in a region, but LTS of fungi from tropical regions are almost non-existent. In this paper, we discuss the contributions of LTS of fungi in tropical regions to alpha diversity, ecological and functional diversity, biogeography, hypothesis testing, and conservation—with an emphasis on an ongoing tropical LTS in the Pakaraima Mountains of Guyana. We show how these contributions refine our understanding of Fungi. We also show that public data repositories such as NCBI, IUCN, and iNaturalist contain less information on tropical fungi compared to non-tropical fungi, and that these discrepancies are more pronounced in fungi than in plants and animals. [ABSTRACT FROM AUTHOR]

Four new species of Sciodaphyllum (Araliaceae) from Ecuador are described, S. balslevii, S. borchsenii, S. oellgaardii and S. pedersenii, each named in honor of a Danish botanist who collected extensively in the country in the late 20th century while contributing to the multi‐decade collaborative botanical research program run by Aarhus University, the Pontificia Universidad Católica del Ecuador, and the Universidad Nacional de Loja. These new taxa increase to 27 the total number of described species in Ecuador belonging to Sciodaphyllum (whose members were formerly included in Schefflera J.R.Forst. & G.Forst.), which also has an additional 75 new species that remain to be described. Color photos are provided for three of the species along with a scan of the holotype of the fourth taxon. Distribution maps are provided along with preliminary risk of extinction assessments (following the IUCN Red List criteria); S. balslevii is assessed as Least Concern (LC), whereas S. borchsenii and S. oellgaardii are Endangered (EN), and S. pedersenii is Vulnerable (VU). [ABSTRACT FROM AUTHOR]

Given the negative fitness effects that pathogens impose on their hosts, the benefits of resistance should be universal. However, there is marked variation across plant species in the number of nucleotide-binding leucine-rich repeat receptors, which form a cornerstone of defense. The growth–defense trade-off hypothesis predicts costs associated with defense investment to generate variation in these traits. Our analysis comparing features of the intracellular immune-receptor repertoires with trait data of 187 species shows that in wild plants, the size of the molecular defense repertoire correlates negatively with growth. By contrast, we do not find evidence for a growth–defense trade-off in agricultural plants. Our cross-species approach highlights the central role of defense investment in shaping ecological trait variation and its sensitivity to domestication. [ABSTRACT FROM AUTHOR]

Background: Capsicum (Solanaceae) is a globally important vegetable crop and is also used therapeutically in traditional medicine systems. However, little is known of the genetic variation within the commonly grown cultivars, the evolutionary relationships and differences in the chloroplast (cp.) genomes between Capsicum species remain unclear. Results: The cp. genomes of 32 Capsicum varieties in three species from 6 countries were investigated. The cp. genome of Capsicum was found to be ~ 156 kb in length and to contain 113 unique genes, of which 79 encoded proteins, 30 encoded transfer tRNAs, and 4 were for ribosomal RNAs. The 32 varieties that we chose for study represented 13 genotypes, containing a total of 608 indels, 83 SNPs, 47 SSRs and 281–306 repeat sequences. We then included several previously sequenced Capsicum cp. genomes, and found that the nine investigated species showed a number of differences in the characteristics of the four IR boundaries, and it was the non-coding regions that contained the most variable regions. We conducted a phylogenetic reconstruction using the cp. genomes of 43 representative species of Solanaceae, and the resulting phylogeny generally reflected the currently accepted classification, with the species of the pungent group having close relationship with one another. Conclusions: This study provides a comprehensive analysis of Capsicum chloroplast genomes, revealing significant variations in IR boundaries and other genomic features. These findings enhance our understanding of Capsicum evolution and genetic diversity. [ABSTRACT FROM AUTHOR]

Human lice have long been parasites of humans and are responsible for several epidemics in human medical history. However, their morphology, particularly head and body lice, remains very similar. In this study, we discriminate human louse species based on the number, shape and size of aeropyles (respiratory pores) of the egg operculum as well as the size of the respiratory orifice in the aeropyles. For this purpose, lice and eggs were collected from infested patients referring to Parasitology Department of Avicenne Hospital (Bobigny, France) and analyzed morphologically. The microscopic examination of the aeropyles revealed a large variation in the number ranging from 5 to 12 for head lice, 10 to 16 for body lice and 13 to 18 for pubic lice with a statistically distinct average of 8.3, 12.9 and 15.7, respectively. Although the length of the head and body louse eggs were almost similar, the width of body louse eggs were bigger than those of head louse (412.9 μm and 363.5 μm, respectively), while pubic louse eggs had the smallest length (692.9 μm) and width (286.1 μm). In addition, pubic louse eggs had a greater operculum length and width (253.7 μm length and 220.7 μm width) than head (230.6 μm length and 210.2 μm width) and body lice (227.9 μm length and 199.9 μm width). Moreover, pubic lice had the smallest average aeropyle size (41.2 μm) compared to head (51.1 μm) and body lice (49.1 μm). The respiratory orifice on the aeropyles of head and body lice (9.9 μm) were almost twice as big as those of pubic lice (4.9 μm). There was an inverse correlation between the number of aeropyles and their size in head, body and pubic lice. These findings are helpful in accurate identification of human louse species using their eggs, which could be useful for control management strategies against these ectoparasites. [ABSTRACT FROM AUTHOR]

In recent years, new wasp species and genera of Cynipidae have been described, and their species delimitation and evolutionary relationships have been supported using molecular markers. However, few studies have included comprehensive and extensive sampling of specimens across the complete distribution of a single genus. In this study, we analysed the phylogenetic relationships of the genus Amphibolips throughout its range using ultraconserved elements (UCEs). We collected 520 adult wasps from 401 sites in various geographic locations, predominantly in Mexico, and used 78 wasps for UCE analysis. Our results demonstrate that Amphibolips forms a monophyletic clade. Amphibolips can be further subdivided into four genetically well‐differentiated clades. Each clade had morphological traits that could be collectively characterised. Species delimitation using molecular sequencing highlights the taxonomic complexity involved in separating and assigning species using exclusively morphological criteria. This approach offers an opportunity to refine current morphological taxonomic criteria or propose new criteria to establish more accurate classifications. The rich diversity of host species and geographic regions in Mexico represents a biodiversity hotspot for Amphibolips. The number of undescribed species remains high. This study facilitates the determination of appropriate boundaries for putative new Amphibolips species. [ABSTRACT FROM AUTHOR]

Changes in phenology are a conspicuous fingerprint of climate change, leading to fears that phenological mismatches among interacting species will be a leading cause of population declines and extinction. We used quantile regression to analyze museum collection data and estimate changes in the phenological overlap of Baltimore checkerspot butterflies and 12 common nectar plant species over several decades in two geographic regions. We combined these museum data with field estimates of each species' flower density and nectar sugar production to estimate changes in resource availability caused by shifts in phenological overlap. Phenological overlap (measured as the proportion of plant flowering during the flight period of an average butterfly) decreased through time, primarily because the flowering period of nectar plants was longer, but the flight period of butterflies was shorter in recent years. Our study was also motivated by the hypothesis that phenological mismatches may be more severe in the southern region due to a midsummer dearth in floral resources, but this hypothesis was not supported by our data. Although phenological overlap was somewhat smaller in the southern region, changes in overlap through time were similar in both regions. When phenological overlap was weighted by nectar sugar production of different species, the overlap increased in the southern region but decreased in the northern region (the opposite of our prediction). Overall, nectar resources were much more abundant at study sites in our northern region than in our southern region, possibly due to differences in land management. Our study demonstrates the complexities of phenological mismatch of interacting species and highlights that phenological changes may have small impacts on population viability. [ABSTRACT FROM AUTHOR]

Ecological value (EV) refers to the intrinsic values of a landscape based on the assessment of five criteria: biodiversity, vulnerability, fragmentation, connectivity, and resilience. While many studies use remote sensing for EV assessment, few incorporate fieldwork data. In our research, we present a novel methodology involving field data collection to quantify each criterion. Additionally, we propose a numerical procedure to aggregate rankings and determine EV. Our study took place in a highly biodiverse neotropical cloud forest in western Mexico. Biodiversity was assessed through evenness, vulnerability by counting threatened species, fragmentation based on tree functional traits, connectivity by tree dispersal syndrome and successional behavior, and resilience from tree species' information and material legacies. To reveal similarity patterns among plots regarding the criteria and EV, we used nonmetric multidimensional scaling with permutational multivariate analysis of variance. To assess EV estimation reliability, we used altitude and azimuth as predictors through generalized additive models. The methodology unveiled that plots with the highest EV do not necessarily possess superior ecological properties (biodiversity and/or vulnerability) or structural and functional features (fragmentation, connectivity, and/or resilience), thus demonstrating the importance of including all criteria in the assessment and avoiding the use of a single criterion. Results showed that cloud forest plots with the highest EV were at an altitude of 1900–2200 m asl, facing southeast and northwest orientations. These plots were characterized by a high number of threatened species, low fragmentation, and high levels of connectivity and resilience. [ABSTRACT FROM AUTHOR]

ABSTRACT Studies aimed at estimating species response to climate change generally employ correlative species distribution models (SDMs) coupled with dispersal scenarios. However, dispersal distances are generally lacking or nonrepresentative, so researchers typically estimate dispersal distance from allometric relationships. Yet, these estimates ignore the role of sex bias in dispersal—where one sex disperses more than the other—leading to important prediction errors. We collected sex‐specific dispersal data for 47 mammal species characterised by different levels of sex bias and projected their distribution under future climate scenarios, either considering or disregarding sex‐biased dispersal. Results reveal discrepancies that can be substantial for species with marked sex bias. Given the paucity of sex‐specific dispersal data, climate forecasting efforts should cautiously use a range of dispersal scenarios, favouring partial dispersal scenarios that are likely to encompass true species' range shifting abilities. Further research and data collection are crucial for refining predictions and understanding the ecological drivers of sex bias in dispersal across taxa. [ABSTRACT FROM AUTHOR]

Background: The genus Haplopappus Cass. [Asteraceae] comprises a large number of species distributed mainly in Chile and with various traditional medicinal uses. Purpose: The present review addresses the botany, traditional uses, chemistry, biological and pharmacological activities of the genus, aiming to further potentiate the associated research and applications. Study design and Methods: Literature data on the chemistry and bioactivity of the genus Haplopappus were mainly retrieved from digital databases such as SciFinder®, PubMed®, and Google Scholar®, as well as from the scientific journal publishers' platforms linked with these databases. Results and discussion: Although the majority of the botanical taxa of the genus Haplopappus has been understudied, available information is promising regarding its phytochemistry and bioactivity. A total of more than 400 compounds are present in different Haplopappus species, mostly terpenoids and phenolic compounds. Scientific literature supports various health promoting effects of Haplopappus extracts and isolated compounds, principally their effect against human pathogenic bacteria and their high antioxidant capacity. The existing limitations highlighted hereby are mainly associated to the lack of modern investigation regarding a wider number of Haplopappus species and chemical compounds, as well as to the absence of in vivo bioactivity results and clinical trials. Conclusion: Scientific literature supports the ethnopharmacological, phytochemical and bioactive potential of the genus Haplopappus , however the aforementioned limitations need to be addressed in order to further promote and broaden both scientific research and future applications and uses. [ABSTRACT FROM AUTHOR]

Fire exclusion is a key factor driving conifer expansion into temperate semi-arid grasslands. However, it remains unclear how reintroducing fire affects the aboveground storage of carbon (C) and nitrogen (N) in the expanding tree species and belowground in soils. To assess the impacts of fire reintroduction C and N pools and fluxes in areas of conifer expansion we targeted a region of the Northern Great Plains that has experienced extensive woody plant expansion (WPE) of two species: ponderosa pine (Pinus ponderosa) and juniper (Juniperus spp). We quantified tree mortality of both species to estimate the amount of dead biomass C and N produced by a recent prescribed fire, in addition to changes in soil C, pyrogenic C (PyC), and N concentrations across a woody-cover gradient using a before/after/control experimental design. Post-fire soil chemical analysis revealed a 2 year increase in mineral soil C, PyC and N, suggesting the return of fire led to the transfer of partially combusted plant organic matter back to the soil. Further, we found that functional trait differences between the two species influenced the distribution of living conifer biomass-N prior to fire. Despite junipers having 41% less total aboveground biomass than ponderosa, they contained two times more aboveground N. Prescribed fire resulted in 88% mortality of all mature juniper stems and increased fire severity correlated with greater pre-fire juniper cover. Ponderosa mortality varied by size class, with > 40 cm stem diameter class having only 28% mortality. High mortality and greater aboveground N storage in juniper biomass, compared to ponderosa, led to 77% of the total conifer biomass N lost. Consequently, the functional attributes of expanding trees differentially contribute to fluxes of C and N after the return of fire, with junipers acting as conduits for N movement due to their relatively higher N content in less fire-resistant tissues and ponderosa serving as important and more stable storage pools for C. Together, these findings highlight the importance of considering species-specific traits when planning WPE management strrategies at landscape-scales, particularly when goals include C storage or soil nutrient status. [ABSTRACT FROM AUTHOR]

A new species of the palpimanid spider genus ScelidocteusSimon, 1907 is described from Salonga National Park, D. R. Congo. The new species is distinguished by the structure of the male and female copulatory organs, both sexes of Scelidocteus mbembaisp. nov. are illustrated and diagnosed against congeners. With this paper, the number of spider species recorded from Salonga, Africa's largest rainforest reserve, rises to a paltry seven, and the number of known Scelidocteus species rises to ten. [ABSTRACT FROM AUTHOR]

Only 20% of the estimated 5 million species of insects on Earth are named and yet insects are poorly represented in protected area assessments, and insect declines are of concern globally.Here, we explore how to increase the discovery of new species and understanding of this group through analysis of 10,097 tropical rainforest bark beetles (Scolytinae) from eight different ecological studies between 2000 and 2018 in the Australian Wet Tropics.Of the 107 species identified, 58 are undescribed: an increase of 37% on the 156 species known from Australia. Rarefaction indicates doubling sampling would increase the number of species by 17. As hypothesised, new species are significantly smaller, less abundant and less widespread than described species making them more extinction‐prone than named species.Flight interception traps collected 84% of individuals and 98% of species confirming the effectiveness of a single sampling method for some beetles. Increased locations and collection from the canopy may sample further species rather than additional collecting methods.Scolytines are relatively well studied with taxonomists at the forefront of using modern methods to resolve formerly intractable groups. Hence, these new species are more likely to be named than others in many other beetle groups where taxonomy has largely stalled.To increase species description rates and to avoid most species becoming extinct before being named, we call on taxonomists to use new character systems provided by DNA methods and advances in the rapidly developing field of artificial intelligence. [ABSTRACT FROM AUTHOR]

Species extinctions increase at a global scale; therefore, rapid inventorying of our planet's biodiversity is becoming more and more important. As insects represent the highest portion of the fauna and play key ecological roles, it is a pressing need to investigate their biodiversity and accelerate species discovery, especially for understudied insect groups, also known as "dark taxa." Phoridae (Diptera) are a great example of a "dark taxon," in particular the genus Megaselia Rondani.The use of integrative methodologies is the best approach to face up to the task of describing hyperdiverse and dark taxa, as morphology alone can be imprecise and slow, and molecular methods alone are often insufficient and lead to errors.Here, we used the Large‐Scale Integrative Taxonomy (LIT) approach to sort 9000 Megaselia into 277 putative species based on DNA barcodes. Each cluster passed through an evaluation of the predictors for incongruence indices between clusters and morphology (maximum p‐distance, stability index), and a subset of specimens were morphologically examined.We provided species estimates with Chao1, and our results suggest a 15% increase in species richness on our dataset. As this estimate was mostly based on samples from southern Germany, the species count will likely increase with expanded geographic sampling. This is a step forward in the study of this taxon, despite the fact that the German insect fauna is one of the best known in Europe and boasts more than one hundred years of study on phorids. [ABSTRACT FROM AUTHOR]

The new key biodiversity areas (KBA) standard is an important method for identifying regions of the planet‐hosting unique biodiversity. KBAs are identified through the implementation of threshold‐based criteria that can be applied to any target species and region. Current methods to rapidly assess the existence of potential KBAs in different areas of the planet still present important challenges, although they are needed to accelerate the KBA identification process for large numbers of species globally. We developed a methodology to scan geographical regions and detect potential KBAs under multiple criteria. We tested the methodology on 59 species of reptiles and amphibians in Italy through the application of selected KBA criteria. Potential KBAs were identified for multiple species under most criteria, covering 1.4%–12% of the study area, depending on analytical settings. Cell size used to identify KBAs played an important role in shaping the distribution of potential KBAs, also affecting the overlap between areas triggered by different criteria. New potential KBAs identified in this study are only partially coincident with current KBAs in Italy (previously identified for birds) and within the national protected areas. [ABSTRACT FROM AUTHOR]

Biodiversity loss will lead to a serious decline for ecosystem services, which will ultimately affect human well-being and survival. Monitoring the spatial and temporal dynamics of grassland biodiversity is essential for its conservation and sustainable development. This study integrated ground monitoring data, Landsat remote sensing, and environmental variables in the Three Rivers Headwater Region (TRHR) from 2000 to 2021. We established a reliable model for estimating grassland species diversity, analyzed the spatial and temporal patterns, trends of change, and the driving factors of changes in grassland species diversity over the past 22 years. Among models based on diverse variable selection and machine learning methods, the random forest (RF) combined stepwise regression (STEP) model was found to be the optimal model for estimating grassland species diversity in this study, which had an R2 of 0.44 and an RMSE of 2.56 n/m2 on the test set. The spatial distribution of species diversity showed a pattern of abundance in the southeast and scarcity in the northwest. Trend analysis revealed that species diversity was increasing in 80.46% of the area, whereas 16.59% of the area exhibited a decreasing trend. The analysis of driving factors indicated that the changes in species diversity were driven by both climate change and human activities over the past 22 years in the study area, of which temperature was the most significant driving factor. This study effectively monitors grassland species diversity on a large scale, thereby supporting biodiversity monitoring and grassland resource management. [ABSTRACT FROM AUTHOR]

Rare plant and vertebrate species have been documented to contribute disproportionately to the total morphological structure of species assemblages. These species often possess morphologically extreme traits and occupy the boundaries of morphological space. As rare species are at greater risk of extinction than more widely distributed species, human‐induced disturbances can strongly affect ecosystem functions related to assemblage morphology. Here, we assess to what extent the distributions of ant morphological traits are supported by morphologically extreme species and how they are distributed among habitats in a global biodiversity hotspot, the Brazilian Amazon. We used a morphological database comprising 15 continuous morphological traits and 977 expert‐validated ant species distributed across the Brazilian Amazon. We produced species range estimates using species distribution models or alpha hulls (when few records were available). Next, we conducted a principal components analysis to combine traits into a space with reduced dimensionality (morphospace). Then, we identified morphologically extreme species in this space and quantified their contributions to morphological diversity across different habitat types in the Brazilian Amazon Basin. We identified 114 morphologically extreme ant species across the Amazon ant morphospace. These species also accounted for a large percentage of morphospace filling, exceeding 99% representation in the most disturbed habitats in the Amazon. Our results suggest that a few morphologically extreme species capture most of the variation in ant morphology and, therefore, the spectrum of ecosystem functions performed by ants in the Brazilian Amazon Basin. Further, unlike in many other groups, these extreme morphologies were represented by the set of most common species. These results suggest greater functional redundancy and resilience in Brazilian Amazon ants, but more broadly, they contribute to our understanding of ecological processes that sustain ecosystem functions. [ABSTRACT FROM AUTHOR]

Breast cancer is a complex disease with significant phenotypic heterogeneity of cells, even within a single breast tumor. Emerging evidence underscores the significance of intratumoral competition, which can serve as a key contributor to cancer drug resistance, imparting substantial clinical implications. Understanding the competitive dynamics is paramount as it can significantly influence disease progression and treatment outcomes. In the present work, a mathematical model was developed using a system of differential equations to describe the dynamic interactions between two cancer subtypes (each further classified into cancer stem cells and tumor cells) and innate immune cells. The purpose of the model is to comprehensively understand the competitive interactions between the heterogeneous subpopulations. The equilibrium points and stability analysis for each equilibrium point were established. Model simulations showed that the competition between two cancer subtypes directly affects the number of both species. When competition between two cancer subtypes is strong, increasing the immune response rate specific to the more competitive species effectively reduces the tumor size. However, if the competition is relatively weak, an optimal immune response rate is required to minimize the total number of tumor cells. Rates below the optimal level fail to reduce the population of the stronger species, whereas rates above the optimal level can lead to the recurrence of the weaker species. Overall, this model provides insights into breast cancer dynamics and guides the development of effective treatment strategies. [ABSTRACT FROM AUTHOR]

A major factor hindering ecological restoration is uncertainty about which plant species will best establish. We account for this uncertainty in the design of seed mixes, though our developments are relevant to other planting mixes (e.g. root stock). We view seed mixes as being comprised of one or more species groups (e.g. shrubs, grasses, and nitrogen fixers). We mathematically establish that chances of relatively low densities decline as a species group's seeding rate (e.g. 100 seeds/m2) is divided more evenly among more species. This decline is sharpest if survival probabilities vary widely among species. To determine how much survival probabilities typically vary, we studied grasses commonly seeded in Great Plains grasslands and Mediterranean annual grasslands in the western United States. Survival probabilities varied extensively, so the chances of low densities declined markedly with increasing seeded species numbers. In the Great Plains, the chances of establishment failures (0 plants/m2) were 50% when the seeding rate was allocated to one species versus 0% when the seeding rate was divided evenly among five or more species. Similarly, in Mediterranean annual grasslands, the chances of very low densities (≤1.0 plants/m2) declined from 24% when one species was seeded to 0% when three or more species were seeded. The seeding rate for each plant group should be divided as evenly as possible among as many species as practical. Compared to increasing seeding rates to provide greater densities, dividing fixed rates more evenly among more species could prove less expensive. [ABSTRACT FROM AUTHOR]

Cloud forests figure as one of the most diverse ecosystems, accounting not only for a high number of plant species but also with a great variety of interactions among them. A common interaction in these forests is the one between vascular epiphytes and their hosts. However, few studies have used the network approach to analyze them. Here, we analyze the horizontal and vertical structure of the vascular epiphyte – host network in a cloud forest in central Mexico. We quantified the number of epiphyte stands on each host both total and per-stratum. Complete network, group, and species metrics were estimated at both levels of analysis. The host – epiphyte networks had relatively low network size but were highly connected; moderately nested, with low specialization, and modularity; but higher vulnerability than generality, and high niche overlap. The community was composed by a high number of generalist species. To our knowledge this is the first study in which network analyses are conducted with standardized data and including all host and epiphyte species in the community. The analyses suggest that the networks are robust, and that functional redundancy might be probable, two advantageous characteristics in a very fragmented and threatened cloud forest. [ABSTRACT FROM AUTHOR]

Identifying flying insects is a significant challenge for biologists. Entomological lidar offers a unique solution, enabling rapid identification and classification in field settings. No other method can match its speed and efficiency in identifying insects in flight. This non-intrusive tool is invaluable for assessing insect biodiversity, informing conservation planning, and evaluating efforts to address declining insect populations. Although the species richness of co-existing insects can reach tens of thousands, current photonic sensors and lidars can differentiate roughly one hundred signal types. While the retrieved number of clusters correlate with Malaise trap diversity estimates, this taxonomic specificity, the number of discernible signal types is currently limited by instrumentation and algorithm sophistication. In this study, we report 32,533 observations of wild flying insects along a 500-meter transect. We report the benefits of lidar polarization bands for differentiating species and compare the performance of two unsupervised clustering algorithms, namely Hierarchical Cluster Analysis and Gaussian Mixture Model. Our analysis shows that polarimetric properties could be partially predicted even with unpolarized light, thus polarimetric lidar bands provide only a minor improvement in specificity. Finally, we use the physical properties of the clustered observations, such as wing beat frequency, daily activity patterns, and spatial distribution, to establish a lower bound for the number of species represented by the differentiated signal types. [ABSTRACT FROM AUTHOR]

Societal Impact Statement: Increasing evidence indicates gene flow commonly occurs between closely related species in diverse plant genera and can involve numerous species. Here, we present a simple method to quantify and characterize the potential for gene flow among "sympatric" species (they share some part of their geographic distribution), using oaks as a case study. The resulting sympatry networks provide insight into potential interspecific gene flow, from the perspective of each species and across the entire suite of interfertile species. In a rapidly changing world, interspecific gene flow will play an increasingly important role in the conservation of endangered species, both positive and negative. Summary: We provide a simple method, using geographic distribution data, to quantify and characterize sympatry networks among a suite of interfertile species to assess potential routes for introgressive hybridization (IH). Sympatry is a necessary condition for IH and is easily determined from widely available geographic distribution data.Oaks, famous for hybridization, present an excellent case study. We use county‐level data for 94 oak species in the contiguous US states to determine patterns of sympatry of species within the four sections, assumed to be interfertile. The pairwise sympatry relationships can generate species‐centric local networks or a syngameon‐wide network. Two different measures of sympatry are used: proportional and relative.Most oak species are exposed to IH from many species, with red oaks having slightly higher local levels of sympatry (5.7 vs. 3.8 spp per county) than white oaks but lower total numbers of sympatric species (13.7 vs. 14.8). The nature of potential IH generally differs for threatened species, which are often embedded in the much larger distributions of widespread species.Potential IH within oak sections is widespread and disproportionately affects rare species. Given that IH has potentially positive or negative impacts on species cohesion, persistence, and adaptation, the geographic connections among species and the 'local sympatry effect' can serve as a springboard for hypothesis generation and genetic investigation of introgression patterns. [ABSTRACT FROM AUTHOR]

The aim of the present study was to analyze interannual and seasonal relationshisps between zooplankton communities and their trophic levels along with the physicochemical properties of Lake Eğirdir. Samplings were performed seasonally between January 2016 and October 2018 at five stations. Zooplankton communities comprised Rotifera (88%), Cladocera (3%) and Copepoda (9%). A total of 73 species were recorded. Four species Asplanchna priodonta, Polyarthra dolichoptera, Synchaeta pectinata and Bosmina longirostris were found dominant among the others. During the study, the number of zooplankton species decreased in 2018 compared to 2016 when the average zooplankton density increased in 2018. The variations of zooplankton community were estimated using Shannon–Wiener diversity, Evenness, and Simpson indices. The correlations between the species and environmental variables were analyzed with Canonical Correspondence Analysis (CCA). The variation in the species data was significantly (p < 0.05) related to a set of six environmental variables (electrical conductivity, chloride, ammonium, carbon, depth, temperature) which explains 84.6% of the total variation. CCA indicated that Keratella cochlearis, Lecane bulla, L. clostrocerca, Trichocerca similis and Copepoda spp. were positively correlated with temperature. According to the Brachionus: Trichocerca quotient (QB/T), Lake Eğirdir can be characterized within the mesotrophic-eutrophic trophic status. The lake showed mesotrophic status in terms of total phosphorus, Secchi disc and chl-a in 2016, 2017, 2018 according to the Carlson trophic status index. [ABSTRACT FROM AUTHOR]