European Journal of Wildlife Research最新文献

Our research endeavors to evaluate the precise ramifications of climate change on Iran’s protected regions, utilizing species distribution modeling to anticipate the effects of climate change on 394 bird species, 157 plant species, 72 reptiles, and 20 mammals across two climate change scenarios: SSP245 and SSP585 in 2070. Subsequently, we employed binary species distribution maps to determine the extent of overlap between 125 protected areas, 27 wildlife refuges, and 15 national parks and species distribution, quantifying the proportion of these areas encompassed by their distribution. We found that under the SSP585 scenario, 174 bird species could experience a 319% expansion in suitable habitats, while 220 species could decline by 57.1%. Among plants, 16 species are projected to grow by 40.3%, whereas 141 species may decrease by 68.8%. Reptiles could experience an increase of 279.1% in 24 species, with a 66.6% decrease in 48 species, while mammals may witness a significant increase of 147.3% in 5 species, but a 71.8% decrease in 15 species. Also, under the SSP585 scenario, in national parks, bird coverage declines from 32.2% (current) to 19.9%, plants from 24.2 to 13.2%, reptiles from 18.4 to 6.8%, and mammals from 17.7 to 10%. In wildlife refuges, birds decrease from 9.7 to 5.7%, plants from 10.9 to 4.6%, reptiles from 12.9 to 2.5%, and mammals from 7.4 to 4.3%. In protected areas, birds drop from 29.3 to 20.4%, plants from 27.7 to 12.5%, reptiles from 18.7 to 9.7%, and mammals from 24 to 12.1%. The low overlap of species with national parks, wildlife refuges, and protected areas underscores the importance of re-evaluating and potentially expanding protected areas to ensure they encompass a broader range of habitats, particularly those that are underrepresented, to enhance the conservation of Iran’s biodiversity amidst the challenges posed by climate change.

Ground nesting birds have declined throughout Europe, with the reduction of habitat structure in agricultural areas being a key contributing factor. Habitat structure is vital not only for providing food and suitable microclimates for these species but also limits nest predation. Field assessments of habitat structure have, historically, been the most common way of identifying areas of low nest predation. However, they are limited in their applicability over wide areas due to time, money, and logistics. Remotely sensed measures (e.g., recorded by a satellite) can address these issues. Normalised difference vegetation index (NDVI) is a measure of the ‘greenness’ of an area and correlates with habitat structure. We conducted an artificial nest experiment over three years (2019, 2020, 2023) in Baden, Austria to test the relationship of NDVI to nest predation in an agricultural landscape. Critically, we compared whether NDVI could predict nest predation as well as locally recorded variables (ground cover, vegetation height, etc, ). We report that NDVI performs equally well at predicting nest predation, with predation decreasing with higher values of NDVI, signifying greater habitat structure. This was supported by our finding that predation probability decreased with greater ground cover (a locally recorded variable). Additionally, we found that areas with greater partridge numbers had higher predation and circumstantial evidence that birds are the primary predator in our study area. Overall, our study shows that satellite-derived measures of habitat structure have untapped potential in identifying areas of high nest predation for European ground nesting birds in agricultural landscapes.

The western capercaillie (Tetrao urogallus) is a species of conservation concern that has been experiencing a severe decline in many regions of Europe. The poor breeding success rather than mortality of full-grown birds has been suggested to be responsible for its decline, been the nest loss a potential driver of the low productivity (number of chicks per female and year) of capercaillie. Working in a capercaillie population in the Pyrenees, we aimed to provide further insights into nest predation by monitoring 82 artificial nests (58 of them with camera traps), and estimating the population density of predators using camera traps and applying random encounter model and camera trap distance sampling. Pine/stone martens -Martes foina, Martes martes- were the species with higher nest predation rates (23%) despite being the less abundant (0.49 ind/km²), followed by foxes -Vulpes vulpes- (11%) and a population density of 3.37 ind/km², and wild boar -Sus scrofa- (4%) and 6.95 ind·km^− 2; predators could not be identified at 27% of the events. After fitting statistical models on the nest predation data, we observed that the martens’ encounter rate (i.e. number of martens detected per camera and day) and the altitude had a positive significant effect on the artificial nest predation probability. While caution is recommended in artificial nest experiments, our results are valuable highlighting the importance of martens and red foxes when addressing nest predation to promote the breeding success and population recovery of western capercaillie populations.

Information on the positional behaviors of primates is essential for understanding the mechanisms of environmental adaptation. From October 2021 to September 2022, we collected data on positional behaviors of Assamese macaques (Macaca assamensis) at Guangxi Nonggang National Nature Reserve, China, using instantaneous scan sampling method. Our results showed that quadrupedal walking (34.99% ± 6.05%) was adopted as their most frequent locomotor mode, followed by leaping (31.54% ± 10.50%), climbing (25.55% ± 11.33%), quadrupedal running (6.55% ± 2.65%) and bridging (1.37% ± 1.19%). The ground (36.83% ± 21.18%) was the most frequently used stratum during moving. Most arboreal locomotion occurred on small (44.06% ± 11.36%) and medium (34.90% ± 11.09%) sized substrates. Sitting (81.19% ± 10.47%) was used as their most common postures, followed by holding (6.38% ± 9.97%), quadrupedal standing (3.70% ± 3.03%), bipedal standing (3.54% ± 1.84%), sprawling (3.17% ± 6.45%), suspending (1.88% ± 1.19%) and lying (0.14% ± 0.21%). Positional behaviors seasonally vary with habitat structure, and distribution of food resources. The macaques used climbing more frequently in the fruit-lean season (dry season) than in the fruit-rich season (rainy season), which could be related to reducing energy expenditure in the dry season. In addition, they adopted holding and lying together to conserve energy and stabilize intergroup relationships. In conclusion, Assamese macaques adapt to limestone forests with positional behavior flexibility in response to seasonality. Our findings highlight the necessity to understand the effects of ecological factors on the behavioral ecology and adaptations of Assamese macaques in their unique limestone forest habitats.

Ambystoma altamirani is a microendemic amphibian limited to central Mexico, specifically the Bosque de Agua region in the Trans-Mexican Volcanic Belt, renowned for its endemic amphibian species. Anthropogenic activities such as land use change, water pollution, and the introduction of exotic species such as rainbow trout (Oncorhynchus mykiss) have substantially transformed its habitat, creating barriers that fragment it and impeding the mobility of the species and connectivity with other populations. This fragmentation poses challenges, including emerging diseases, inbreeding, limited gene flow, and a loss of genetic diversity, placing Ambystoma altamirani in national and international risk categories. The present study utilized the ENMeval and biomod2 models for environmental niche modeling (ENM) to assess the potential distribution of Ambystoma altamirani in the Bosque de Agua region. The key supporting variables include rivers, lakes, altitude, and a combination of Abies and Pinus forests, while the detrimental factors include urbanization and agriculture. Employing circuit theory (CT) and least-cost path (LCP) methodologies, this research explored functional connectivity, identifying core areas in the central region of Bosque de Agua. As migration distance decreases, the number of corridors facilitating population flow decreases. In the concluding phase, an analysis assessed the coincidence of state and federal Mexican Natural Protected Areas with core areas, revealing a lack of protection. The results of this study could lead to improved knowledge about Ambystoma altamirani, providing valuable tools for helping stakeholders formulate comprehensive strategies for species conservation.

While Bulgaria has a rich bat fauna, with large colonies found in caves, mines and other underground roosts, only a small proportion of bat nursery colony roosts have been documented in buildings. During recent field research in the Madzharovo region, however, we discovered the world’s largest nursery colony of lesser horseshoe bats (Rhinolophus hipposideros) and Geoffroy’s bats (Myotis emarginatus). About 15 000 to 18 500 individuals of eight species use the complex of anthropogenic structures (an abandoned water reservoir and two buildings) as a summer roost, representing around half of all the bat species registered in the region. We strongly suggest that regular monitoring programmes and Species Action Plans are established in Bulgaria, which will ensure the conservation of nursery colonies, not only in Madzharovo, but also in the entire Eastern Rhodope mountains and help prevent future bat population declines.

Climatic variation along the elevation gradient promotes the natural parapatric occurrence of the European hare (Lepus europaeus) and Alpine mountain hare (Lepus timidus varronis) in the Alps. Recent data indicate a displacement of mountain hares caused by competition with the European hare. Competitive exclusion might take place at a fine spatial scale and hybrids may sharpen competition. Genetic non-invasive sampling (gNIS) demonstrates to be effective to retrieve information from wild animals. However, based on the accuracy of the differing genetic analysis methods, the selection of the method might decisively influence results. To examine habitat preferences of Alpine mountain hares, European hares and their hybrids with particular interest in the influence of the accuracy of the genetic analysis method on the results, we performed gNIS in Grisons (Switzerland) for four years and compared habitat associations of the genotyped samples. We recorded 137 individuals (i.e., 35 hybrids, 49 European hares, 53 Alpine mountain hares). Combined nuclear and mitochondrial DNA analysis including individual identification revealed to be the most accurate indirect method for the study of habitat preferences of hares. Alpine mountain hares had a narrow habitat breadth and used little habitat diversity. Hybrids showed great similarities in their habitat preferences to European hares. Hybrids might increase the competition in favour of European hares and the displacement of Alpine mountain hares, since they show similar patterns of habitat use to European hares. Ongoing climate change potentiate the niche overlap between species, increasing the risk of Alpine hare decline due to hybridisation and displacement.

In Kerala, human-elephant conflicts (HEC) are reported in almost all parts of the Western Ghats region, exceptionally high in Wayanad. In recent years, there has been a notable surge in HEC occurrences throughout the state, leading to the loss of property, animals, and life. The dependency of humans on enclosures, the transformation of natural areas into plantations, and the fragmentation of natural ecosystems are the main reasons for the escalating conflict between people and elephants. As a result, it is necessary to study the suitability of habitat for elephants and ensure their conservation. The study aims to identify suitable elephant habitats in the Wayanad Wildlife Sanctuary using geospatial data based on their known association with environmental variables. This study employs the Analytic Hierarchy Process (AHP), an approach to determining the weightings of individual parameters in assessing habitat suitability. The analysis findings indicated that the central portion of the study area within the Sultan Bathery (43.63 sq. km), range represents the most suitable area for elephant habitat followed by Kurichat (33.59 sq. km) and Tholpetti (19.45 sq. km). The final output of the study, the Habitat Suitability Map was validated by adding the human-elephant conflict locational data, which illustrates that the Kurichiat range recorded the highest HEC conflict (50%), followed by Muthanga (29%), Sulthan Bathery (12%), and Tholpetti (9%). The map could assist in managing, conserving, and protecting forest resources and aid in decision-making activities.

Despite enormous efforts, complete animal tuberculosis (TB) eradication has only been achieved in few regions. Epidemiological analyses are key to identify TB risk factors and set up targeted biosecurity measures. Here, we conducted an in-depth characterization of 84 extensive beef cattle farms from a high TB prevalence region in Western Spain, and assessed how farm management and wildlife presence on farms contribute to cattle TB risk. Twenty-six out of 84 variables were associated with cattle farm TB positivity. Farm management variables associated with TB positivity included older cattle, larger herd size, highly fragmented farm structure and greater connectivity between farms. TB-positive farms provided supplemental feed over a higher number of months, used calf feeders, and had higher number of waterholes. Detecting Eurasian wild boar (Sus scrofa), red fox (Vulpes vulpes), European badger (Meles meles), roe deer (Capreolus capreolus), or Egyptian mongoose (Herpestes ichneumon) on cattle farms was also associated with farm TB positivity. The best ordinal regression model indicated that in farms with a large herd size (> 167 animals) the odds of being positive or recurrently positive (versus negative) was 7.34 (95% CI = 2.43–23.51) times higher that of farms with small herd size. Further, for every additional host species detected in the farm premises, the odds of being TB-positive increased 56%. We conclude that both cattle management and wildlife need to be targeted for successful TB control in grazing-based farming systems.

Understanding how bovine tuberculosis (TB) is maintained in wildlife reservoirs is critical for the management of this disease impacting cattle in many countries. For the primary wildlife reservoir of the disease in New Zealand, the brushtail possum (Trichosurus vulpecula), transmission of this contagious bacterial disease among possums is often assumed to be linked to home range overlap. Identifying drivers of possum home range, and home range overlap between individuals, is thus important for informing wildlife reservoir TB management in New Zealand. We monitored four sub-populations of free-living possums in New Zealand native forests during 10 consecutive months using live trapping, to give the first direct insight into how the frequency and area of overlaps alters with density, sex and age. A total of 832 individuals were captured (average 9.3, range from 1 to 40 captures per animal with a median value of 7) and 35,820 home range overlaps were recorded. Both the number and area of overlaps were significantly associated with age class, with 66.6% of overlaps occurring between adults, 30% between adults and juveniles, and only 3.4% between juveniles. Overall, adult males showed significantly higher numbers of overlaps than expected, while adult and juvenile females showed significantly lower numbers of overlaps than expected and no differences were observed in juvenile males. In addition, males exhibited more and larger overlaps than females. The number and size of overlaps per individual decreased with increasing local population density. Understanding shared areas of activity among individuals can provide insights into the interactions occurring and potential pathways for diseases transmitted by contact such as TB. These results can inform to develop effective strategies for the control of diseases carried and dispersed by possums.