Conservation Of Species Research Articles

Home range in genus Capra: from polygons to Brownian bridges of scabietic and healthy Iberian ibexes (Capra pyrenaica).

Home range and home range overlap can be used to describe use of space and movement of wildlife. During the last years, advancements in technology have greatly improved our understanding of animal movement, especially among large herbivores. Wild ungulate abundance and distribution have increased in temperate areas. Moreover, their diseases-including sarcoptic mange in the Iberian Ibex (Capra pyrenaica)-have become a cause of concern for livestock, public health, and wildlife conservation. In this study, we first reviewed existing literature on the home range of species in the genus Capra. We then analyzed data from 52 GPS-GSM-collared Iberian ibexes, of which 33 were healthy and 19 were affected by sarcoptic mange from 3 different populations in the southeastern Iberian Peninsula to analyze: (1) differences in size and characteristics of home ranges obtained by the 3 most commonly used methodologies-minimum convex polygon, kernel density estimation, and Brownian bridges movement models (BBMMs); and (2) the impact of endemic sarcoptic mange on Iberian Ibex home range. The literature review revealed that available information on spatial behavior of Capra spp. was based only on 3 species, including the Iberian Ibex, estimated through a diversity of methods which made it difficult to compare results. We found positive correlations among the different home range estimation methods in the Iberian Ibex, with BBMMs proving to be the most accurate. This study is the first to use BBMMs for estimating home range in this species, and it revealed a marked seasonal behavior in spatial use, although sarcoptic mange smoothed such seasonal pattern. The seasonal overlaps obtained suggest that core areas of the Iberian Ibex change within wider home range areas, which are ecological parameters relevant to identifying key areas for species management and conservation.

Species Composition and Conservation Status of Ornamental Fishes in Khambrenga Wetland, Kamrup District, Assam, India

Ornamental fish culture, also known as aquariculture, is a significant industry globally, contributing to foreign exchange earnings and employment generation. India, particularly the northeastern region, is endowed with diverse indigenous ornamental fish species. However, the ornamental fish trade in India remains relatively underdeveloped. This study aimed to document the ornamental fish diversity in Khambrenga Beel, a freshwater wetland located near Guwahati City, Assam, India.
 From December 2022 to April 2023, fish samples were collected and photographed in the study area. Local knowledge and identification literature were utilized to identify the fish species, while the IUCN Red List was referenced to determine their conservation status. A total of 48 species belonging to 30 genera, 20 families, and 10 orders of ornamental fishes were recorded in Khambrenga Beel. The Cypriniformes and Perciformes orders were the most diverse, comprising 16 species each.
 The majority of the recorded species were categorized as least concern (LRlc), indicating a relatively stable conservation status. However, three species were categorized as near threatened (NT), one species as vulnerable (VU), and one species as endangered (EN). The abundance of ornamental fishes varied across different sampling sites and seasons, reflecting the influence of habitat heterogeneity and seasonal dynamics.
 The findings highlight the importance of conserving Khambrenga Beel's unique ecosystem and its diverse ornamental fish species. Conservation measures such as habitat protection and sustainable fishing practices are crucial for ensuring the long-term survival of these species. This study provides valuable information for the development of conservation strategies to protect the ornamental fish populations in Khambrenga Beel, thereby contributing to the overall conservation of indigenous ornamental fishes in India.

Taxonomic and functional avian diversity vary with cattle management practices in humid Chaco forests of Argentina

AbstractBirds play key roles in forest dynamics, favoring the resilience of forests to cattle ranching. Generalist species may benefit from changes in the vegetation structure caused by cattle grazing while specialist species are usually negatively affected. Therefore, studying changes in taxonomic and functional bird diversity can provide valuable information in order to propose the sustainable cattle management practices. Here, we study the influence of different cattle management practices (Cattle Exclusion: FCE; Continuous grazing: FCG; Rotational grazing: FRG; Seasonal grazing: FSG) on the understory vegetation structure, and the bird taxonomic and functional diversity in humid Chaco forests of Argentina. Forests under grazing had an open (FCG) or semi‐open (FRG and FSG) understory, whereas FCE presented a closed understory with higher plant richness. Generalized linear models revealed a decrease in bird richness and abundance under most cattle management practices compared to FCE. However, FRG was most similar to FCE in terms of vegetation structure and showed no differences in bird richness. FCE presented the lowest values of functional diversity while FCG and FRG showed the highest values. A fourth‐corner analysis showed that FCE was associated with insectivorous species which forage and nest in the shrub layer, reflecting a possible loss of ecosystem services in forests with cattle grazing. We propose FRG as the most appropriate cattle management option and the least detrimental to bird assemblages. However, maintaining protected areas that exclude cattle ranching activities will be key to strike a balance between the conservation of most specialist species and beef production.Abstract in Spanish is available with online material.

Informing the Conservation of Ephemerally Flooded Wetlands Using Hydrologic Regime and LiDAR-Based Habitat Assessments

Integrated assessments of wetland hydrologic regimes and other environmental factors are key to understanding the ecology of species breeding in ephemerally flooded wetlands, and reproductive success is often directly linked to suitable flooding regimes, both temporally and spatially. We used high-resolution Light Detection and Ranging (LiDAR) data to develop bathymetric stage–flooded area relationships, predict spatial extent of flooding, and assess vegetation structure in 30 pine flatwoods wetlands. For a subset of wetlands with monitoring wells, we then integrated bathymetric and water level data to create multi-year time series of daily flooded areas. We then related the observed flooded areas to topographic and landscape metrics to develop models predicting flooded extents in wetlands without monitoring wells. We found that stage–area curves varied depending on wetland size and bathymetry, such that a one-cm increase in water depth could generate flooded area increases ranging from hundreds to thousands of square meters. Flooded areas frequently fragmented into discrete flooded patches as wetlands dried, and there was a weak positive correlation between hydroperiod and mean flooded area across multiple years (r = 0.32). To evaluate the utility of using LiDAR-derived data to support the conservation of wetland-breeding species, we combined metrics of flooding and vegetation to map potentially suitable habitat for the imperiled reticulated flatwoods salamander (Ambystoma bishopi). Overall, projects focusing on the ecology of wetland-breeding species could gain a broader understanding of habitat effects from coupled assessments of bathymetry, water level dynamics, and other wetland characteristics.

Indigenous knowledge and species assessment for the Alexander Archipelago wolf: successes, challenges, and lessons learned

AbstractThe United States Fish and Wildlife Service in Alaska, USA, conducted a species status assessment for a petition to list the Alexander Archipelago wolf (Canis lupus ligoni) under the Endangered Species Act in 2020‐2022. This federal undertaking could not be adequately prepared without including the knowledge of Indigenous People who have a deep cultural connection with the subspecies. Our objective is to communicate the authoritative expertise and voice of the Indigenous People who partnered on the project by demonstrating how their knowledge contributed to the species status assessment. The Indigenous knowledge applied in the assessment is the cultural and intellectual property of those who have shared it. We employed rapid appraisal research to expeditiously develop a preliminary and qualitative understanding of Indigenous People's cultural and ecological knowledge of Alexander Archipelago wolves. We used semi‐directed interviewing and inductive coding from grounded theory for text analysis. Indigenous knowledge contributed to the agency's understanding of the Alexander Archipelago wolf in Southeast Alaska and helped the agency with their classification decision. Indigenous research partners explained the rich cultural significance and position of wolves in Tlingit society and described human–wolf relationships and ecological interactions. The agency used a single‐species assessment approach based in species ecology and conservation biology, whereas the Indigenous wolf experts applied a multi‐species, community ecology approach based in a sociocultural context of balance and respect. The Indigenous wolf experts successfully addressed knowledge gaps identified by the agency. The partners were challenged by a short regulatory timeframe that did not allow for comprehensive study of Indigenous knowledge and constrained review and feedback by Indigenous experts. The United States Fish and Wildlife Service learned that its assessment framework was not designed to account for an Indigenous worldview. To level the playing field, the agency and Indigenous experts should discuss how to co‐develop an assessment framework that equitably applies both perspectives.

Jazan's Catch Chronicles: A Statistical Exploration of Lethrinus Nebulous and Acanthocybium Solandri Fishing (2012-2022)

This study delves into the fascinating world of fisheries data, specifically focusing on two commercially important fish species in the Red Sea: The Lethrinus nebulous (cloud emperor) and the Acanthocybium solandri (wahoo). Through the lens of statistics, this study aims to uncover valuable insights into the population dynamics, catch patterns and potential management strategies for these fish species. By analyzing data from "Jazan's Catch Chronicles," from General Administration of Fisheries Resources (Ministry of Environment, Water and Agriculture) -the Statistical Yearbook 2022-, we employ statistical methods to extract meaningful patterns from the data and answer critical questions. This knowledge can then inform fisheries management practices, ensuring the long-term sustainability of these valuable resources. The findings suggest that the diversity of the catch may have increased slightly over the study period. The number of species with a catch of more than 100 tonnes increased from 5 in 2017 to 7 in 2022. The number of species with a catch of more than 10 tonnes also increased from 14 in 2017 to 17 in 2022. However, further statistical analysis, such as a chi-squared test, is needed to determine if this difference is statistically significant. The study also highlights the importance of balancing data disclosure with species conservation. While detailed location data can be valuable for scientific research, it can also pose threats to endangered species. In the case of the IUCN-listed Cheilinus undulatus (humphead wrasse), a decision tree approach was employed to weigh the risks and rewards of disclosing location data. Considering the species' endangered status and declining population, the study recommends restricting data by masking species IDs and areas or restricting information by publishing high-resolution habitat maps without specific location details. This approach helps balance the need for scientific knowledge with protecting vulnerable species. Overall, this study sheds light on the dynamics of fish populations in the Red Sea, emphasizing the need for sustainable management practices and responsible data handling to ensure the long-term health of these vital marine resources.

Natural vegetation biomass and the dimension of forest quality in tropical agricultural landscapes.

Forest cover has been a pivotal indicator of biological conservation and carrying capacity for wildlife in forest ecoregions. Such a relationship underpins policies focused on the extension of protected lands. Here, we estimate aboveground biomass (AGB) as a proxy for habitat quality in seminatural rural patches and provide a comparison with approaches that only consider forest cover. We hypothesize that recommendations for biological conservation in agricultural landscapes are substantially improved if habitat quality is also taken into account, and thus consider the possibility of forest quality being modulated by land-use amount, type, and age. We assessed AGB in a densely farmed Brazilian region using a straightforward approach designed to be affordable at large scales, focusing on two expanding and contrasting land uses: sugarcane, and eucalyptus plantations. At a detailed scale, we confirmed through field surveys and AGB estimation using 3D-multispectral imagery (i.e., AGB = 0.842 × vegetation heightNDVI+1) that AGB variation could be predicted with forest degradation classes that are visually distinguishable with high-resolution images: 9.33 t ha-1 (90% predictive intervals [PI] = [3.23, 26.97]) in regenerating fields (RF), 31.12 t ha-1 (90% PI = [10.77, 89.90]) in pioneer woods (PW), and 149.04 t ha-1 (90% PI = [51.59, 430.58]) in dense forests (DF). Applying these values to land units sampled across the study region, we found an average land use of 88.5%, together with 11.5% of land set aside for conservation, which reduced AGB to less than 4.2% of its potential (averages of 5.85 t ha-1 in sugarcane-dominated areas and 6.56 t ha-1 in eucalyptus-dominated areas, with secondary forests averaging 149.04 t ha-1). This imbalance between forest cover and AGB resulted from forest quality decay, which was similarly severe among land-use types, ages, and extensions. Therefore, the shortage of trophic resources is likely more critical to wildlife than spatial limitations in vastly deforested tropical ecoregions, where AGB and carbon sinks can be more than doubled just by restoring forests in lands currently spared by agriculture.

Biology, distribution, and conservation of the Gamilaroi crayfish Euastacus gamilaroi Morgan, 1997 (Decapoda: Astacidea: Parastacidae), a freshwater crayfish from New South Wales, Australia

Abstract Euastacus gamilaroi Morgan 1997, the Gamilaroi crayfish, was initially described based on specimens collected in 1954 from Hanging Rock, New South Wales, but since then scant subsequent records hinder conservation of this endangered species. Extensive sampling during 2006–2023 delineated the distribution, habitat preferences, biological traits, and conservation status of the species. Together with concurrent molecular taxonomic analyses were extend the species range from headwater regions of highland streams above 960 m altitude of Burrows Creek to include highland streams of Duncan and Dungowan creeks (Peel-Namoi River/western drainage) and Tomalla, Back, and Ben Halls creeks (Barnard-Manning River/eastern drainage). We provide information on the distribution, biology, and ecological associations of the species. Results advocate for the classification of E. gamilaroi as an endangered species, recognizing its distinctive ecological niche and its status as a climate refugee, aiming to protect this rare species from climate-related challenges. We also present a taxonomic key differentiating E. gamilaroi from other species of Parastacidae in the region.

GPS Tracking Reveals the White-Tailed Eagle Haliaeetus albicilla as an Ambassador for the Natura 2000 Network

The Natura 2000 network of protected areas is the backbone of species conservation in the European Union. We investigated whether Austrian-hatched white-tailed eagles (Haliaeetus albicilla) make particular use of this multinational network during their natal dispersal, and what habitats were of importance to the eagles. We analyzed the utilization distribution of 907,466 GPS locations from 38 dispersing white-tailed eagles using a dynamic Brownian Bridge Movement Model. Eagles ranged over a huge area of central-eastern Europe. Natura 2000 sites overlapped with 67% of the resulting 50% isopleth; i.e., a high probability of utilization of Natura 2000 areas by white-tailed eagles was found. White-tailed eagles used wetlands, waterbodies, and deciduous forests adjacent to wet habitats disproportionately often. Coniferous forests and settlements were avoided. Anthropogenically caused mortalities hardly occurred within Natura 2000 sites. Our study suggests that the Natura 2000 network is a crucial tool for conserving the white-tailed eagle. This top predator is an ambassador for the Natura 2000 idea during all life stages, and should continue to be a conservation priority of the network.

Energy Content of Plant Organs and Population Cohorts in Moringa peregrina: Concepts for Species Conservation Management in Arid Regions

Energy Content of Plant Organs and Population Cohorts in Moringa peregrina: Concepts for Species Conservation Management in Arid Regions

A Preliminary Survey of Medium- and Large-Sized Mammals and Their Conservation Status in the Asimba Forest Priority Area, Semiarid Highlands of Northern Ethiopia

Mammal species provide vital environmental and economic functions although they globally face numerous threats. Knowledge of the composition and diversity of mammal species provide information for appropriate management interventions. We conducted this study from July 2019 to February 2020 to assess the species composition, diversity, and conservation of medium- and large-sized mammals in the Asimba Forest Priority Area, northern Ethiopia. Data were collected through direct and indirect evidence from three habitat types, namely, natural forest, bushland, and plantation forest. We analyzed the data using descriptive statistics and the Species Diversity Index. We also used χ2 to compare differences in the number of observations and species richness of the mammal species in different habitats between the dry and wet seasons. A total of 263 observations were compiled, and 15 medium- and large-sized mammalian species were recorded in the Asimba Forest Priority Area. The Species Diversity Index and Evenness of the area were H′ = 2.436 and J = 0.899, respectively. Hamadryas baboon (Papio hamadryas) was the most commonly observed species, with 20.7 and 19.2 relative frequencies in the dry and wet seasons, respectively, whereas striped polecat (Ictonyx striatus) was the rarest species, with 3.0 and 0.0 relative frequencies during the dry and wet seasons, respectively. The number of observations (χ2 = 2.298, df = 2, and p=0.316) and species richness (χ2 = 0.115, df = 2, and p=0.943) did not differ significantly in the three habitats. Anthropogenic factors, mainly habitat destruction and overgrazing, were widely observed in the Asimba forest as conservation threats to the mammal species. The current study helps to increase knowledge about the mammal species of the area and is essential for their future conservation strategies.

Tree Diversity and Its Ecological Importance Value in Silvopastoral Systems: A Study along Elevational Gradients in the Sumaco Biosphere Reserve, Ecuadorian Amazon

This study analyzes tree diversity and its ecological importance value in silvopastoral systems in the Sumaco Biosphere Reserve (SBR), Ecuador, along an altitudinal gradient of 400–2000 masl. Twenty-six plots distributed into low (400–700 masl), medium (701–1600 masl) and high (1601–2000 masl) zones were used. The Shannon index and the importance value index (IVI), based on abundance, dominance and relative frequency, were estimated. The results highlight that in pastures with dispersed trees, the richness of trees decreases with increasing altitude in the elevational gradient; they also show a higher tree density at lower altitudes in contrast to the Andean–Amazonian primary forests. The lower and middle zones showed higher diversity, linked to regeneration and the presence of nearby forests. Species of high commercial value, such as Cedrela odorata and Jacaranda copaia, were common, reflecting knowledge of the local timber market. In the lower and middle zones, the 10 most important species accounted for more than 70% of the trees, with up to 96% in the upper zone. A total of 51 taxa (including 42 species and nine taxa at the rank of genus) were identified, which were mostly native; 64.7% are classified by the IUCN as least-concern (LC) species, 31.4% as not evaluated (NE) species and 3.9% as vulnerable (VU) species, specifically highlighting Cedrela odorata and Cedrela montana. The study concludes with policy recommendations related to the importance of trees in silvopastoral systems for the conservation of species and the livelihoods of local communities, highlighting the need for responsible management of Amazonian pasturelands.

Variants in the ZNF469 gene in families with Brittle cornea syndrome and keratoconus

BackgroundBrittle cornea syndrome 1 (BCS1) is a rare autosomal recessive disorder characterized by corneal and sclera thinning and fragility that is caused by zinc finger protein 469 (ZNF469) gene mutation. Keratoconus is another disease related to corneal thinning. Several reports have linked ZNF469 variants and keratoconus. We recruited a four-generation BCS1 family and two keratoconus families to explore pathogenic ZNF469 variants. MethodsThis study included 11 members from a family with BCS1, 2 families with keratoconus, 368 sporadic keratoconus patients and 325 unrelated healthy controls. Whole exome sequencing of DNA from peripheral blood and cross species conservation analysis was used to investigate and verify ZNF469 variants. ResultsA new homozygous frameshift mutation c. 6727del (p.Asp2243Thr fs*8) in ZNF469 was detected in the BSC1 family. Two ZNF469 heterozygous variants g.88494671G > A (c.793G > A, p.G265S, rs754776767) were detected in keratoconus family 1 and a heterozygous missense variant g.88498262G > A (c.4384G > A, p.D1462 N, rs577890057) was found in keratoconus family 2. Based on the American College of Medical Genetics and Genomics guidelines, rs577890057 and rs754776767 were predicted to be variants of uncertain significance. c. 6727del (p. Asp2243Thr fs*8) in ZNF469 was identified to be pathogenic. ConclusionsWe identified a new homozygous frameshift mutation and two heterozygous missense variations in ZNF469 in the three families. Our findings extend the spectrum of ZNF469 variants associated with keratoconus.

Joint Spatial Modeling Bridges the Gap Between Disparate Disease Surveillance and Population Monitoring Efforts Informing Conservation of At-risk Bat Species

AbstractWhite-Nose Syndrome (WNS) is a wildlife disease that has decimated hibernating bats since its introduction in North America in 2006. As the disease spreads westward, assessing the potentially differential impact of the disease on western bat species is an urgent conservation need. The statistical challenge is that the disease surveillance and species response monitoring data are not co-located, available at different spatial resolutions, non-Gaussian, and subject to observation error requiring a novel extension to spatially misaligned regression models for analysis. Previous work motivated by epidemiology applications has proposed two-step approaches that overcome the spatial misalignment while intentionally preventing the human health outcome from informing estimation of exposure. In our application, the impacted animals contribute to spreading the fungus that causes WNS, motivating development of a joint framework that exploits the known biological relationship. We introduce a Bayesian, joint spatial modeling framework that provides inferences about the impact of WNS on measures of relative bat activity and accounts for the uncertainty in estimation of WNS presence at non-surveyed locations. Our simulations demonstrate that the joint model produced more precise estimates of disease occurrence and unbiased estimates of the association between disease presence and the count response relative to competing two-step approaches. Our statistical framework provides a solution that leverages disparate monitoring activities and informs species conservation across large landscapes. Stan code and documentation are provided to facilitate access and adaptation for other wildlife disease applications.

New threats in the recovery of large carnivores inhabiting human-modified landscapes: the case of the Cantabrian brown bear (Ursus arctos)

Understanding mortality causes is important for the conservation of endangered species, especially in small and isolated populations inhabiting anthropized landscapes where both natural and human-caused mortality may hinder the conservation of these species. We investigated the mortality causes of 53 free-ranging brown bears (Ursus arctos) found dead between 1998 and 2023 in the Cantabrian Mountains (northwestern Spain), a highly human-modified region where bears are currently recovering after being critically threatened in the last century. We detected natural traumatic injuries in 52.63% and infectious diseases in 39.47% of the 38 bears for which the mortality causes were registered, with 21.05% of these cases presenting signs of both infectious diseases and traumas. More specifically, almost 30% of the bears died during or after intraspecific fights, including sexually selected infanticide (10.53%). In addition, primary infectious diseases such as infectious canine hepatitis, distemper, clostridiosis and colibacillosis caused the death of 15.79% of the bears. The number of direct human-caused deaths (i.e., shooting, poisoning, snare) decreased over the study period. This study also reveals three new mortality causes triggered by pathogens, two of which—Clostridium novyi and verotoxigenic Escherichia coli—not previously described in ursids, and the other one, canine distemper virus, never reported in brown bears as cause of death. New management strategies for the conservation of Cantabrian bears, which are urgently needed due to the rapid expansion of the population, should consider the mortality causes described in this study and must promote further research to elucidate how the high prevalence of infectious diseases may threaten the current recovery of the population.

Evaluation of the effects of glucose concentration in extender and sperm concentration in straw for cryopreservation of Atlantic sturgeon (Acipenser oxyrinchus) semen

The Atlantic sturgeon (Acipenser oxyrinchus) faces unique conservation challenges due to its extended maturation period and irregular spawning patterns, which restrict its reproductive capacity. Therefore, in order to overcome these difficulties we have made a first attempt to develop effective cryopreservation procedure for Atlantic sturgeon through evaluation of the effects of the glucose concentration in extender and final sperm concentration in straw on sperm motility parameters. A remarkably high (81 ± 8%) postthaw sperm motility was obtained. The other sperm velocity and trajectory parameters were differentially affected both by concentrations of glucose or sperm and cryopreservation process. Our results undoubtedly show that the post-thaw sperm motility of Atlantic sturgeon is highly influenced by the final glucose and sperm concentration. The recommended cryopreservation procedure includes 0.05 M glucose and 7.5% methanol at 1.0×109 spermatozoa ml−1. We have confirmed that our elaborated protocol can be used for cryopreservation of Atlantic sturgeon semen which can be subsequently used for long-term conservation of this endangered species, offering a valuable tool in efforts to safeguard its genetic diversity and contribute to its survival.

Atlas Florae Europaeae notes, 34. Distributions and two conservation profiles of East European species of the Cytisusratisbonensis group (Fabaceae).

The Cytisusratisbonensis group (Fabaceae) includes small shrubs with attractive yellow flowers, used in ornamental cultivation. It is widely distributed in southern forest, forest steppe and steppe zones of Eastern Europe, both in the lowlands and low mountains. This group is notorious for its taxonomic complexity and difficulties in identification, which accounted for incongruent taxonomic treatments and common identification errors, and resulted in a poor understanding of the distribution areas. The increasing availability of herbarium collections and accumulation of human observations through digital resources require their critical taxonomic revision and update in order to provide reliable data for plant species mapping, conservation and analysis of distribution areas. This paper describes a distributional dataset of East European species of the Cytisusratisbonensis group, which was prepared for the pan-European grid mapping project, Atlas Florae Europaeae. The taxonomic revision includes seven species and two interspecific hybrids and is based on the critical evaluation of diagnostic characters, nomenclature and synonymy. The territorial scope of this study is Eastern Europe, but it also includes some data from Central Europe, the Caucasus and the neighbouring territories of Siberia and Kazakhstan, which are included in order to trace eastern and south-eastern limits of the species distributions and to establish reliable synonymy. We report 3699 native occurrence records included in the dataset; these records are based on major herbarium collections which are known to hold specimens from Eastern Europe (DNZ, KRA, KRAM, KW, LE, LW, LWKS, MHA, MSK, MSKH, MSKU, MW), complemented by selected specimens from other herbaria (BUNS, CSAU, H, NNSU, NS, NSK, OXF, PVB, RWBG, TUL). The herbarium collections were examined largely de visu, but partly online. Besides the herbarium specimens, recognisable photographs documenting human observations on online platforms (florafauna.by, iNaturalist, Plantarium, UkrBIN) were also examined and included. All specimen records are accompanied with textual data and georeferences, which were produced for this dataset. Point and contour distribution maps are created for each accepted species. According to the distributional data, the Cytisusratisbonensis group may be classified as temperate lowland and steppic in Eastern Europe. Among European endemic shrubs, C.cinereus (as C.paczoskii) was assessed in 2017 as Near Threatened, whereas its new IUCN protection status is proposed as Least Concern because the new data demonstrated that its distribution area is much greater than previously believed. A species restricted to the Crimea, C.wulffii, is assessed here for the first time as Vulnerable because of its restricted area and small population size (criteria D1,2).

Improved Wildlife Recognition through Fusing Camera Trap Images and Temporal Metadata

Camera traps play an important role in biodiversity monitoring. An increasing number of studies have been conducted to automatically recognize wildlife in camera trap images through deep learning. However, wildlife recognition by camera trap images alone is often limited by the size and quality of the dataset. To address the above issues, we propose the Temporal-SE-ResNet50 network, which aims to improve wildlife recognition accuracy by exploiting the temporal information attached to camera trap images. First, we constructed the SE-ResNet50 network to extract image features. Second, we obtained temporal metadata from camera trap images, and after cyclical encoding, we used a residual multilayer perceptron (MLP) network to obtain temporal features. Finally, the image features and temporal features were fused in wildlife identification by a dynamic MLP module. The experimental results on the Camdeboo dataset show that the accuracy of wildlife recognition after fusing the image and temporal information is about 93.10%, which is an improvement of 0.53%, 0.94%, 1.35%, 2.93%, and 5.98%, respectively, compared with the ResNet50, VGG19, ShuffleNetV2-2.0x, MobileNetV3-L, and ConvNeXt-B models. Furthermore, we demonstrate the effectiveness of the proposed method on different national park camera trap datasets. Our method provides a new idea for fusing animal domain knowledge to further improve the accuracy of wildlife recognition, which can better serve wildlife conservation and ecological research.

Recognition of bird species with birdsong records using machine learning methods.

The recognition of bird species through the analysis of their vocalizations is a crucial aspect of wildlife conservation and biodiversity monitoring. In this study, the acoustic features of Certhia americana, Certhia brachydactyla, and Certhia familiaris were calculated including the Acoustic complexity index (ACI), Acoustic diversity index (ADI), Acoustic evenness index (AEI), Bioacoustic index (BI), Median of the amplitude envelop (MA), and Normalized Difference Soundscape Index (NDSI). Three machine learning models, Random Forest (RF), Support Vector Machine (SVM), and Extreme Gradient Boosting (XGBoost), were constructed. The results showed that the XGBoost model had the best performance among the three models, with the highest accuracy (0.8365) and the highest AUC (0.8871). This suggests that XGBoost is an effective tool for bird species recognition based on acoustic indices. The study provides a new approach to bird species recognition that utilizes sound data and acoustic characteristics.

Wildlife mortality risk posed by high and low traffic roads.

Wildlife mortality due to collisions with vehicles (roadkill) is one of the predominant negative effects exerted by roads on many wildlife species. Reducing roadkill is therefore a major component of wildlife conservation. Roadkill is affected by various factors, including road attributes and traffic volume. It is theorized that the effect of traffic volume on roadkill probability should be unimodal. However, empirical evidence for this theory is lacking. Using a large-scale roadkill database of 18 wildlife species in Israel, encompassing 2846km of roads over 10years, we explored the effects of traffic volume and road attributes (e.g., road lighting, verge vegetation) on roadkill probability with a multivariate generalized linear mixed model. A unimodal effect of traffic volume was identified for the striped hyena (Hyaena hyaena), whereas 5 species demonstrated a novel quadratic U-shaped effect (e.g., golden jackal [Canis aureus]). Four species showed a negative linear effect (e.g., wild boar [Sus scrofa]). We also identified varying effects of road attributes on roadkill. For instance, road lighting and roadside trees decreased roadkill for several species, whereas bus stops and concrete guardrails led to increased roadkill. The theorized unimodal effect of traffic volume may only apply to large, agile species, and the U-shaped effect could be related to intraspecies variability in traffic avoidance behavior. In general, we found that both high-traffic and low-traffic roads can pose a high mortality risk for wildlife. It is therefore important to monitor roadkill on low-traffic roads and adapt road attributes to mitigate roadkill. Road design for effective roadkill mitigation includes reducing the use of concrete guardrails and median barriers where possible and avoiding dense bushes in verge landscaping. These measures are complemented by employing wildlife detection systems, driver warnings, and seasonal speed reduction measures on low-traffic roads identified as roadkill hotspots.