Occurrence Of Bats Research Articles

Vegetation canopy height shapes bats’ occupancy: a remote sensing approach

ABSTRACT Anthropogenic activities have significantly altered land cover on a global scale. These changes often have a negative effect on biodiversity limiting the distribution of species. The extent of the effect on species’ distribution depends on the landscape composition and configuration at a local and landscape level. To better understand this effect on a large scale, we evaluated how land cover and vegetation structure shape bat species’ occurrence while considering species’ imperfect detection. We hypothesize that intensification of anthropogenic activities in agriculture, for example, reduces heterogeneity of land cover and vegetation structure, and thereby, limits bat occurrence. To investigate this, we conducted acoustic bat sampling across 59 locations in southern Portugal, each with three spatial replicates. We derived fine-scale vegetation structural metrics by combining spaceborne LiDAR (GEDI) and synthetic aperture radar data (Sentinel-1 and ALOS/PALSAR-2). Additionally, we included land cover metrics and high-resolution climate data from CHELSA. Our findings revealed an important relationship between bat species’ occupancy and vegetation structure, particularly with vegetation canopy height. Moreover, forest and shrubland proportions were the main land cover types influencing bat species responses. All species’ best-ranking occupancy models included at least one climatic variable (temperature, humidity, or potential evapotranspiration), demonstrating the importance of climate when predicting bat distribution. Our acoustic surveys had a species’ detection probability varying from 0.19 to 0.86, and it was influenced by night conditions. These findings underscore the importance of modeling imperfect detection, especially for highly vagile and elusive organisms like bats. Our results demonstrate the effectiveness of using vegetation and landscape metrics derived from high-resolution remote sensing data to model species distribution in the context of biodiversity monitoring and conservation.

Preliminary Study of Chiroptera at Padang Chong Forest Reserve, Hulu Perak, Peninsular Malaysia

The Padang Chong Forest Reserve (PCFR) is a significant part of the Central Forest Spine (CFS) initiative, specifically A-PL2. However, the information regarding chiropterans in PCFR is not extensively documented. To address this gap, our study aims to comprehensively document the occurrence of bats at PCFR. Surveys on bats were conducted in PCFR for five sampling sessions between June and November 2022. Two study plots were established at a distance of 500 m (Plot 1, P1) and 1000 m (Plot 2, P2) from the forest edge. A total of 10 mist nets and three harp traps were deployed in each study plot to capture the bats. Overall, 102 individuals and 24 species from four families of bats were recorded in PCFR. The Papillose Woolly Bat (Kerivoula papillosa) was the most abundant species recorded in this study, followed by the Forest Short- nosed Fruit Bat (Cynopterus cf. brachyotis ‘Forest’), with 15 and 13 individuals, respectively. P1 recorded more bat species than P2, with 19 and 16 species, respectively. The detection of bats in the forest reserve might be influenced by the availability of roosting sites, food resources, and foraging areas. These findings provide a strong basis for developing conservation strategies, and management plans to protect bat habitats in Perak.

Experience in Using an Echo Meter Touch Ultrasonic Module in Studies of the Species Composition, Occurrence, and Biotopic Preferences of Bats (Chiroptera, Vespertilionidae) in Voronezh Oblast

Experience in Using an Echo Meter Touch Ultrasonic Module in Studies of the Species Composition, Occurrence, and Biotopic Preferences of Bats (Chiroptera, Vespertilionidae) in Voronezh Oblast

Role of vernal pools in activity and diversity of bats and birds linked with the emergence of flying insects

Vernal pools are small temporary wetlands occurring in shallow depressions usually filled with precipitation in autumn and winter. They will dry seasonally, which makes them fishless ponds devoid of large aquatic predators. These ephemeral ponds are less studied compared to other freshwater ecosystems, such as lakes, although they are considered biodiversity hotspots. The aim was to study the use of vernal pools by birds and bats and compare this to permanent wetlands. We expected higher bat activity and bird abundance in vernal pools than permanent wetlands, and that is related to the spatial and temporal fluctuations of the emerging flying insects. However, no difference in bird abundance, diversity or community was found between the habitats. Regarding bats, the activity of Myotis spp was generally higher at lakes than vernal pools, while the activity of Eptesicus nilssonii increased during the study period regardless of habitat type. No relationship was found between the emergence of insects and the occurrence of bird and bats. Although, vernal pools were not more attractive habitats compared to lakes, they still form an important, largely neglected, diverse habitat type within the boreal landscape.

Species richness, occurrence and rarity of bats in Brazilian caves

AbstractCaves are among the most important roosts of hundreds of bat species worldwide. However, caves can be formed in different lithologies. Cave structure and characteristics, which are shaped by lithology, can, in turn, influence roost preferences for different bat species. Therefore, cave lithology and characteristics can help us to better understand why some bat species may be rare in some caves and common in others. Brazil is a continental country, rich in bat species (181 spp.), lithologies and caves (>23 000). However, only a small fraction of the known caves has been sampled for bats so far, with no emphasis on the role lithology may have. Based on a literature review and using data on bat occurrence, in this study, we investigated the influence of lithology on bat species richness and rarity in Brazilian caves. We evaluated 117 studies, including data from 552 caves, and updated the number of bat species occurring in Brazilian caves to 81. Species richness differed between lithologies: carbonate caves had higher species richness, whereas iron caves had lower species richness. Richness was positively related to carbonate caves and with cave size: the bigger the cave, the more species‐rich it tends to be. Overall, caves in the Cerrado had the highest species richness, followed by Atlantic Forest, Caatinga caves and Amazonian caves. Thirteen species can be considered as primarily cave‐dwelling species, recorded in 10%–20% of the caves. Rarity was common among primarily cave‐dwelling species. Nearly 22% of the sampled caves harboured endangered species, reaching 53% of the species‐richest caves. Our analysis provides a comprehensive baseline for bat fauna in different types of caves in Brazil. Even so, we strongly recommend the establishment of long‐term monitoring of population trends for bats in Brazilian caves, which is necessary information but almost non‐existing for the country.

Acoustic monitoring reveals spatiotemporal occurrence of Nathusius’ pipistrelle at the southern North Sea during autumn migration

Seasonal movements between the summer and winter areas are a widespread phenomenon in bats So far, most information on the migration ecology of bats has been obtained by studies in terrestrial habitats, whereas scientific knowledge on migration over sea is scarce. We performed continuous ultrasonic acoustic monitoring at 13 locations in the southern North Sea during four consecutive years (2017–2020) and analysed the spatiotemporal occurrence of Nathusius’ pipistrelle Pipistrellus nathusii during autumn migration in relation to weather parameters and lunar phase. Our analysis showed that the main autumn migration of Nathusius’ pipistrelle at the southern North Sea occurs from mid-August until late October and most bats within the study area occur off the Noord Holland coast. North Sea crossings frequently last longer than one night; the day is spent roosting at an offshore structure. The strongest migration occurs during nights with tailwinds from the east-northeast, but bats are also recorded offshore with low to moderate headwinds or crosswinds. Bat presence decreased between the full moon and the last quarter and increased just before the new moon. Finally, our observations show that the occurrence of bats at sea was reduced in 2020 in comparison to the previous years. The results of this study show clear spatiotemporal patterns of migratory bat occurrence at the southern North Sea. The spatial distribution can be used in spatial planning of future offshore wind farms, whereas the temporal occurrence and environmental factors that shape offshore migration can be used to develop mitigation measures to reduce the number of bat fatalities.

Habitat suitability mapping using logistic regression analysis of long-term bioacoustic bat survey dataset in the Cassadaga Creek watershed (USA)

Bat species show global ecological importance, yet their numbers are declining worldwide. Understanding bat-habitat interactions is crucial in terms of developing effective conservation plans. In an effort to model bat habitat suitability in the Cassadaga Creek watershed, long-term bioacoustic bat data (spanning 2009–2020) was compiled, georeferenced and statistically analyzed using logistic regression techniques. In total, 1600 bat occurrence records from five species of bat (559 Eptesicus fuscus, 560 Lasionycteris noctivagans, 143 Lasiurus borealis, 260 Lasiurus cinereus, and 78 Myotis lucifugus) were paired with pseudo-absence points to study the relationship between bat calling behavior and land cover. All bats but Myotis lucifugus had a statistically significant relationship with forested land cover, and all bats had negative interactions with agricultural habitats. Geospatial data was coupled with the statistical output to create maps of habitat suitability and echolocation calling density. This work provides a model that can be employed worldwide to evaluate bat habitat needs or patterns in echolocation behavior. Future research will incorporate a more recently collected dataset that is of greater geographic diversity with a larger number of environmental variables in the species distribution model.

Large‐scale long‐term passive‐acoustic monitoring reveals spatio‐temporal activity patterns of boreal bats

The distribution ranges and spatio‐temporal patterns in the occurrence and activity of boreal bats are yet largely unknown due to their cryptic lifestyle and lack of suitable and efficient study methods. We approached the issue by establishing a permanent passive‐acoustic sampling setup spanning the area of Finland to gain an understanding on how latitude affects bat species composition and activity patterns in northern Europe. The recorded bat calls were semi‐automatically identified for three target taxa; Myotis spp., Eptesicus nilssonii or Pipistrellus nathusii and the seasonal activity patterns were modeled for each taxa across the seven sampling years (2015–2021). We found an increase in activity since 2015 for E. nilssonii and Myotis spp. For E. nilssonii and Myotis spp. we found significant latitude ‐dependent seasonal activity patterns, where seasonal variation in patterns appeared stronger in the north. Over the years, activity of P. nathusii increased during activity peak in June and late season but decreased in mid season. We found the passive‐acoustic monitoring network to be an effective and cost‐efficient method for gathering bat activity data to analyze spatio‐temporal patterns. Long‐term data on the composition and dynamics of bat communities facilitates better estimates of abundances and population trend directions for conservation purposes and predicting the effects of climate change.

Exposure of Egyptian Rousette Bats (Rousettus aegyptiacus) and a Little Free-Tailed Bat (Chaerephon pumilus) to Alphaviruses in Uganda.

The reservoir for zoonotic o'nyong-nyong virus (ONNV) has remained unknown since this virus was first recognized in Uganda in 1959. Building on existing evidence for mosquito blood-feeding on various frugivorous bat species in Uganda, and seroprevalence for arboviruses among bats in Uganda, we sought to assess if serum samples collected from bats in Uganda demonstrated evidence of exposure to ONNV or the closely related zoonotic chikungunya virus (CHIKV). In total, 652 serum samples collected from six bat species were tested by plaque reduction neutralization test (PRNT) for neutralizing antibodies against ONNV and CHIKV. Forty out of 303 (13.2%) Egyptian rousettes from Maramagambo Forest and 1/13 (8%) little free-tailed bats from Banga Nakiwogo, Entebbe contained neutralizing antibodies against ONNV. In addition, 2/303 (0.7%) of these Egyptian rousettes contained neutralizing antibodies to CHIKV, and 8/303 (2.6%) contained neutralizing antibodies that were nonspecifically reactive to alphaviruses. These data support the interepidemic circulation of ONNV and CHIKV in Uganda, although Egyptian rousette bats are unlikely to serve as reservoirs for these viruses given the inconsistent occurrence of antibody-positive bats.

Bats of Bangladesh—A Systematic Review of the Diversity and Distribution with Recommendations for Future Research

Bangladesh is at the ecological transition between the Indo-Himalayan and Indo-Chinese subregions. The country also has one of the highest human population densities in the world and only 6% remaining natural habitat, putting much of its biodiversity at risk. With more than 1455 species worldwide, bats are an important, but threatened, component of global biodiversity and provide critical ecosystem services. Yet, there is no comprehensive work on species occurrence, diversity, or richness of bats of Bangladesh. Here, we collated data on the bats of Bangladesh and states in neighboring countries from the available literature, the Global Biodiversity Information Facility, and museum databases to assess the probability of occurrence of bat species in Bangladesh and created distribution maps for each species. We confirmed 31 species from 8 families, of which 22 were associated with voucher specimens and 9 recorded based on photographs, or human observation. A further 81 species were categorized as Highly Probable (38 species), Probable (33), and Possible (10) in Bangladesh based on the distribution in neighboring states and habitat preferences. The shortfall in confirmed versus potential species highlights the need for rigorous surveys to fully document and characterize the bat diversity of Bangladesh.

Data Flows for Metabarcoding-based Monitoring in the Project Automated Multisensor Stations for Monitoring of Biodiversity

Biodiversity monitoring is an important tool to document rapid ecosystem changes and on-going species loss by collecting high-resolution biodiversity data over long periods of time. Large-scale monitoring provides long-range information on species occurrence, interactions, and migrations. In the German project "Automated Multisensor Stations for Monitoring of BioDiversity" (AMMOD, https://ammod.de/), field stations equipped with different sensors (e.g. acoustic sensors, camera traps, volatile organic compound sensors, pollen and insect traps) are being developed that can be operated largely autonomously. These stations provide continuous data on the occurrence of birds, bats, mammals, insects and plants and associated environmental parameters. Besides the autonomous operation of the stations, a challenge is to master the different requirements that the wide range of sensors bring with them (cf. Wägele et al. 2022). In addition to the detection of fauna and flora by means of sounds, images, films and smells, samples are also collected in malaise and pollen traps with automatically rotating multi samplers. The mixed samples are processed in the laboratory using metabarcoding methods and the resulting sequence data bioinformatically processed into amplicon sequence variants (ASV, Callahan et al. 2017). Unlike data from acoustic sensors or camera traps, which can flow and be analyzed almost entirely automatically, metabarcoding requires a labor-intensive intermediate step in the laboratories at the University of Kassel (pollen) and the LIB (insects). In addition, metabarcoding requires good (preferably local) barcode reference databases, like Barcode Of Life Data system (BOLD) and the German Barcode of Life library (GBOL); long-term data storage for raw and processed data; reliable retrieval of ASV sequences; and versioning of supercharged data through dynamic assignment during taxon annotation. Here, we present the pipeline for acquisition, intersection, management, storage and publication of data from metabarcoding derived from bulk insect and pollen samples. The metabarcoding data pipeline is connected to the overall data flow developed in the AMMOD project (Wägele et al. 2022, Fig. 12) and ultimately delivers processed taxon tables with linked information to the raw sequences published, methods used and other sources of information to the upcoming NFDI4Biodiversity Research Data Commons (RDC, https://www.nfdi4biodiversity.org, Glöckner et al. 2020) using the AMMOD data broker. Raw sequences (i.e., FASTQ files, sampling and laboratory metadata) will be stored and published the in the International Nucleotide Sequence Database Collaboration (GenBank or ENA) using the data flows from the German Federation for Biological Data (GFBio, https://gfbio.org) as proxy. The three data sources for the AMMOD metabarcoding data pipeline are derived from the multisampler with connected malaise or spore traps plus environmental data loggers. Bioinformatic analysis and generation of ASVs is provided by the users, using their own pipelines. For storage, publication and transmission of results to the NFDI4Biodiversity RDC, an ASV table registry is provided along with the possibility of uploading log files, laboratory protocols and collection tables. In the ASV registry, the uploaded tables are taxonomically annotated through the connected reference databases and stored as versioned datasets. The processed and annotated datasets are transmitted to the AMMOD broker in a standardized format as JSON datasets. Connection of the components: an identifier, which uniquely identifies the data from the respective components of field stations and laboratories, is the prerequisite for the unique assignment of data parts. This AMMOD ID consists of the project name, the case number, the sensor type, a time stamp with the number of the sample and the bottle or plate number. For example, the ID AMMOD-T1-M-R210511-B1 denotes a sample of the AMMOD project from trap 1 of type Malaise dated May 11, 2021 from the first bottle. All bottles and data entries from the laboratory, log files and subsequent processes are provided with such an ID. The orchestra of different components was built under the aspect of sustainable software development and compatibility to existing systems such as the Leibniz Institute for the Analysis of Biodiversity Change (LIB) Biobank and the LIB Digital Collection Catalog. All developed software is published at: https://gitlab.leibniz-lib.de/AMMOD/ and https://gitlab.leibniz-lib.de/GBOL/asv-table-registry The portal for ASV registration and upload is available on: https://bolgermany.de/metabarcoding

Not only hedgerows, but also flower fields can enhance bat activity in intensively used agricultural landscapes

Agri-environment schemes (AES) have become important tools for farmland biodiversity conservation, providing suitable habitats, resources, and connectivity within the agricultural landscapes. Bats are rarely studied in relation to AES effectiveness in contrast to birds, even though their presence and activity as biological control agents on insects, especially pest species, can be important for agricultural crops. While the role of hedgerows for bat occurrence and activity, as well as for their prey's diversity and abundance has been widely studied, the role of other AESs such as flower fields remains unclear. We monitored the activity of the main functional groups (edge, narrow and open space foragers) using ultrasound recorders, as well as potential prey abundances using light traps, across 35 study sites representing different AES in Central Germany from late July to September 2018. The sampled AES consisted of annual flower fields, mixed flower fields (with annual and biennial vegetation), perennial flower fields (sown every 5 years), hedgerows (surrounded by meadows and agricultural fields), and were compared to winter wheat (control) in a balanced design. Bat activity over hedgerows increased threefold for edge space foragers and sevenfold for narrow space foragers compared to wheat fields. Compared to wheat fields, narrow space forager activity increased fourfold over perennial flower fields, threefold over annual and twofold over mixed flower fields. This group's activity over hedgerows also increased almost threefold compared to mixed flower fields. However, the number of feeding buzzes and prey abundance did not differ significantly between AES. We detected foraging group-specific differences in bat activity between the studied AES. Thus, to promote bats in agricultural landscapes and to ensure their biological control services, it is important to establish more AES, such as hedgerows and flower fields, to increase their diversity and connectivity in intensively used agricultural landscapes.

Occurrence of bats in protected areas of Nepal: An update on species richness and distribution records

Bat surveys in 20 Protected Areas (PAs) of Nepal are sporadic and/or had targeted purposively a few localities, therefore, bat diversity from the PAs is yet to be explored. Bat species richness in PAs from two reviews until 2011 are inconsistent. In total, seven surveys have been undertaken in six PAs since 2011. Hence, an update and revision on chiropteran account from the PAs of Nepal is warranted. We reviewed available literatures and museum collection records, and further collated and plotted bat occurrence coordinates into the country and mapped them. In total, 44 of 53 bat species in Nepal have been recorded from 12 PAs. Annapurna Conservation Area (ACA) reports highest species richness (22) followed by Shivapuri Nagarjun National Park and Buffer Zone (SNNP & BZ) (15), Makalu Barun National Park and Buffer Zone (MBNP & BZ) (14) and Chitwan National Park and Buffer Zone (CNP & BZ) (13). In contrast, survey localities are more in CNP & BZ (12), ACA and SNNP & BZ (equally 11) and MBNP & BZ (10). Species richness increased proportionately with higher survey efforts and including more habitat types in respective PAs. Three species: Rhinolophus ferrumequinum, Rh. pearsonii and Rh. sinicus are recorded from six out of 12 PAs. Pipistrellus javanicus (12), Hipposideros armiger (10), Cynopterus sphinx (9) and Rh. sinicus (9) are recorded from maximum number of surveyed localities in the PAs. All the PAs have limited occurrence records. Therefore, intensive surveys are recommended for understanding actual chiropteran diversity to the PAs of Nepal.

Monitoring and Modeling Tree Bat (Genera: Lasiurus, Lasionycteris) Occurrence Using Acoustics on Structures off the Mid-Atlantic Coast-Implications for Offshore Wind Development.

Simple Summary“Tree bats” are North American bats that day-roost in trees year-round and undertake seasonal migration in lieu of hibernation. These bats have been shown to be highly susceptible to collisions with wind energy turbines and are known to fly offshore during migration. Therefore, as offshore wind energy expands off the eastern U.S. coast, there is some concern about potential impacts. We monitored bats in coastal Virginia, USA, using acoustic monitors—devices that collect the unique echolocation call signatures of bat species. We found that nightly tree bat visitation offshore or on barrier islands was associated with wind speed, temperature, visibility, and seasonality. Using statistical modeling, we developed a predictive tool to assess occurrence probabilities at varying levels of wind speed, temperature, and seasonality. Probability of occurrence and therefore assumed risk to collision is highest on high temperature and visibility nights, low wind speed nights, and during the spring and fall seasons. We suggest a similar modeling regime could be used to predict the occurrence of bats at offshore wind sites to inform potential mitigation efforts.In eastern North America, “tree bats” (Genera: Lasiurus and Lasionycteris) are highly susceptible to collisions with wind energy turbines and are known to fly offshore during migration. This raises concern about ongoing expansion of offshore wind-energy development off the Atlantic Coast. Season, atmospheric conditions, and site-level characteristics such as local habitat (e.g., forest coverage) have been shown to influence wind turbine collision rates by bats onshore, and therefore may be related to risk offshore. Therefore, to assess the factors affecting coastal presence of bats, we continuously gathered tree bat occurrence data using stationary acoustic recorders on five structures (four lighthouses on barrier islands and one light tower offshore) off the coast of Virginia, USA, across all seasons, 2012–2019. We used generalized additive models to describe tree bat occurrence on a nightly basis. We found that sites either indicated maternity or migratory seasonal occurrence patterns associated with local roosting resources, i.e., presence of trees. Across all sites, nightly occurrence was negatively related to wind speed and positively related to temperature and visibility. Using predictive performance metrics, we concluded that our model was highly predictive for the Virginia coast. Our findings were consistent with other studies—tree bat occurrence probability and presumed mortality risk to offshore wind-energy collisions is highest on low wind speed nights, high temperature and visibility nights, and during spring and fall. The high predictive model performance we observed provides a basis for which managers, using a similar monitoring and modeling regime, could develop an effective curtailment-based mitigation strategy.

Modelling the distribution of bat activity areas for conservation in a Mediterranean mountain range

AbstractThere is a lack of studies designed to detect the most important areas for bat conservation. In this context, areas of high bat activity have been rarely considered in the delimitation of protected areas for bats, which are generally focused on the protection of roosting sites. This has been due to the difficulties of sampling the distribution of these nocturnal animals when moving at night. This methodological constraint has been overcome by the development of bioacoustic sampling, which allows mapping the occurrence of active bats over large areas. In this study, we use bat detectors to sample the distribution of bat activity in central Spain. This region is under the environmental effects of a mountain range (Guadarrama Mountains) and the urban encroachment of the city of Madrid. The occurrences provided by the detectors were used to produce species distribution models of which the resulting layers were arranged to detect the most suitable areas for bat richness and rarity indices. We performed a gap analysis to explore whether the areas most commonly used by active bats are covered by the current network of protected areas. The results showed that the best areas of high bat activity are located at the piedmont of the mountains and that most of these areas overlap with the existing network of protected areas. The best areas for bats excluded the most urbanized areas and within a similar urban gradient, protected areas tended to be located within the best sites for conservation. These results suggest that bats currently benefit from a network of protected areas initially aimed to protect birds and habitats (Natura 2000). In addition, monitoring areas of high bat activity could complement roosting site protection in the conservation of bat assemblages.

Cats Felis catus as a threat to bats worldwide: a review of the evidence

Abstract Cats Felis catus, in all their forms (domestic, free‐roaming/stray and feral), have been identified as a major global threat to biodiversity, especially birds and small mammals. However, there has been little previous consideration of the extent and impact of predation of bats by cats, or of whether specific characteristics make certain species of bats particularly vulnerable to predation by cats. We reviewed the impact of cats on bats, based on a collation of scientific literature and the International Union for Conservation of Nature (IUCN) Red List database. Our aim was to produce a synthesis of the extent to which cats prey upon and threaten bats. We also collated available data on cat diet, which provide information on predation rates of bats by cats. Few studies (n = 44) have identified bat species preyed upon or threatened by cats, with a disproportionate number of studies from islands. In these studies, 86 bat species (about 7% of the global extant tally) are reported as preyed upon or threatened by cats, and about one quarter of these species are listed as Near Threatened or threatened (IUCN categories Critically Endangered, Endangered, or Vulnerable). In IUCN Red List assessments, cats are more frequently mentioned as a threat to threatened or Near Threatened bat species than to non‐threatened species (IUCN category Least Concern). In studies reporting on the incidence of bats in cat dietary samples (scats, stomachs and guts), the frequency of occurrence of bats in samples averaged 0.7 ± 2.1% (mean ± standard deviation; n = 102). Many studies had sample sizes that were too small to be likely to detect bats. All forms of cat are reported to kill bats, and such predation has been reported in all major terrestrial habitats. We conclude that predation by cats is an under‐appreciated threat to the world’s bat species.

Will climate change impact distribution of bats in Nepal Himalayas? A case study of five species

Nepal Himalayas combine Oriental and Sino-Japanese zoogeographic realms as well as those of the eastern and western Himalayas. Physiography coupled with the diverse local climates has enriched the biodiversity of the Nepal Himalayas. The order Chiroptera constitutes more than 25% of the mammalian fauna and forms the most speciose group of mammals in Nepal, where bats are recorded within a wide range of elevations from 64m to 4154m. Climate variation in the past has been observed and projected change has been predicted, and an evaluation of the climate change impact on biodiversity and habitats has been initiated. However, none of the studies has assessed the impact of climate change on bats in the Himalayan range including Nepal, despite bats represent the largest mammalian group in the country. Through Species Distribution Modelling (SDM), we describe the present distribution range for five common species, further assess their response to future climatic changes. Specifically, the occurrence of bats against 10 environmental variables were projected under different climate scenarios; present, Representative Concentration Pathways (RCPs) 4.5 and 8.5 for 2050 and 2070 deploying maximum entropy modeling (MaxEnt). We prepared predicted distribution range maps and estimated area using Arc GIS 10.7.1. Among 10 uncorrelated bioclimatic variables, six contribute to the SDM significantly. Annual precipitation (bio12) is the most common variable for all five species. Two species shows wider present distribution ranges compared to other three. Under the climate change scenarios, although predictions varied among species, similar trends of the range shifting toward northern latitudes and higher elevations are observed. Since the larger part of the current potential distribution range lies outside protected areas, a landscape level conservation approach prioritizing bat conservation is needed. Future surveys should target ground truthing in the western region of the country.

The occurrence and distribution of bats in Qatar

The distributions of bat species in Qatar have not previously been recorded. We conducted the first nation-wide survey of bats in Qatar. Based on sonogram analysis, we identified Asellia tridens, Otonycteris hemprichii, and Pipistrellus kuhlii. The most commonly recorded species was Asellia tridens, the only species recorded in the northern half of the country. Contrary to our prediction, the likelihood of recording bats was not higher in the northern half of the country where there are many irrigated farms. The distributions of the bat species may result from differences in human land use and disturbance, and from the distance to the main body of the Arabian Peninsula. A key habitat feature for Asellia tridens and Otonycteris hemprichii may be the presence of roosting sites in less disturbed sinkholes/caves, which are therefore crucial for bat conservation

Resilient responses by bats to a severe wildfire: conservation implications

AbstractWildfires shape ecosystems globally, yet little is known on their effects on wildlife distribution and spatial behaviour. We used bats as models to test the effects of fire on ecosystems because they are multi‐habitat specialists and feature ecological and life traits such as behavioural plasticity and longevity that make them able to respond to both short‐ and long‐term environmental changes. We aimed at testing the effects of a severe wildfire on a Mediterranean bat assemblage in terms of occupancy, activity and individual fitness. Here, we measure the effects of fire on activity levels and occupancy by a Mediterranean bat assemblage at the Vesuvius National Park, in Southern Italy, over 4 years, encompassing a year when a severe wildfire occurred. By comparing bat occurrence and activity at burnt versus unburnt sites with a Before‐After/Control‐Impact approach, we found that bat responses to wildfires are species specific and depend on the time elapsed since the fire. Species that rely more strongly on forest areas showed a strong short‐term adverse response in terms of occupancy and activity, while species adapted to open habitats showed no response 1 year after the wildfire. However, most species showed a general positive effect due to the passage of fire 2 years after its occurrence, probably because of vegetation regrowth. The wildfire event was also associated with reduced reproduction in at least one species, and to worse individual body conditions 1 year after the wildfire. Our results show that most bats in a Mediterranean ecosystem show resilience to the occurrence of fire, yet many species show negative short‐term responses by altering their spatial behaviour and decreasing their investment in reproduction. Future increases in fire occurrence and intensity due to climate change may alter bat assemblages and impair population viability in the long term, hampering the fundamental ecosystem services provided by structured bat communities.

Spatial patterns of bat diversity overlap with woodpecker abundance.

Woodpecker diversity is usually higher in natural forests rich in dead wood and old trees than in managed ones, thus this group of birds is regarded as an indicator of forest biodiversity. Woodpeckers excavate cavities which can be subsequently used by several bird species. As a consequence, their abundance indicates high avian abundance and diversity in forests. However, woodpecker-made holes may be also important for other animals, for example, mammals but it has seldom been investigated so far. Here, we examine how well one species, the Great Spotted Woodpecker, predicts species richness, occurrence and acoustic activity of bats in Polish pine forests. In 2011 we conducted woodpecker and bat surveys at 63 point-count sites in forests that varied in terms of stand age, structure and amount of dead wood. From zero to five Great Spotted Woodpeckers at a point-count site were recorded. The total duration of the echolocation calls during a 10-min visit varied from 0 to 542 s and the number of bat species/species groups recorded during a visit ranged between zero to five. The local abundance of the woodpecker was positively correlated with bat species richness (on the verge of significance), bat occurrence and pooled bat activity. The occurrence of Eptesicus and Vespertilio bats and Nyctalus species was positively related with the abundance of the Great Spotted Woodpecker. The activity of Pipistrellus pygmaeus, Eptesicus and Vespertilio bats and a group of Myotis species was not associated with the woodpecker abundance, but echolocation calls of Nyctalus species, P. nathusii and P.pipistrellus were more often at sites with many Great Spotted Woodpeckers. Moreover, the probability of bat presence and the activity of bats was generally higher shortly after dusk and in middle of the summer than in late spring. We suggest that the observed correlations can be driven by similar roosting habitats (e.g., woodpeckers can provide breeding cavities for bats) or possibly by associated invertebrate food resources of woodpeckers and bats. The abundance of Great Spotted Woodpecker seems to be a good positive indicator of bat species richness, occurrence and activity, thus adding a group of relatively cryptic forest species that are indicated by the presence of the Great Spotted Woodpecker.