The genome sequence of the Violet Carpenter Bee, Xylocopa violacea (Linnaeus, 1785): a hymenopteran species undergoing range expansion

Introduction

We live in a time of unprecedented biodiversity loss (Ceballos and Ehrlich 2023) exemplified by the global decline of insect fauna undeniably associated with anthropogenic stressors (Outhwaite et al. 2022). Insect biodiversity loss puts key ecosystem services, such as pollination (Ollerton 2021) and decomposition (Yang and Gratton 2014), at risk. Although there is strong evidence of insect declines in the recent history (Hallmann et al. 2017; Powney et al. 2019), changes in global climate have also seen patterns of range shift in many taxa (e.g. Kerr et al. 2015; Lehmann et al. 2020; Rollin et al. 2020; Halsch et al. 2021; Skendžić et al. 2021). The European Reference Genome Atlas (ERGA, Mc Cartney et al. 2024 aims to empower research communities to expand the taxonomic coverage of genomic resources, enabling cross taxa analyses to address continent-scale questions, such as those surrounding range shifts, at the genomic level.

There are currently no annotated, reference quality, genomic resources for the Carpenter bees (Hymenoptera: Apidae). Carpenter bees are classified as a single genus, Xylocopa (Latreille 1802), which contains around 400 species (Gerling et al. 1989; Leys et al. 2000, 2002; Michener 2007), and are considered as essential pollinators (e.g. Vargas et al. 2017; Malabusini et al. 2019). In Europe, the most widespread Xylocopa species is the Violet Carpenter Bee, Xylocopa violacea (Linnaeus 1758) (Vicidomini 1996). This species has a pan-European distribution (Fig. 1, https://www.gbif.org/species/1342108) that also extends to Algeria and Turkey (Gerling et al. 1989; Aouar-Sadli et al. 2008; Tezcan and Skyrpan 2022), Iraq and India (Dar et al. 2016; Bamarni and Elsaiegh 2022).

Fig. 1: The Violet Carpenter Bee, Xylocopa violacea.
figure 1

A Records of X. violacea occurrence in Europe between 1980 and 2023 (GBIF.org, 04 December 2023, https://doi.org/10.15468/dl.3gr8wv). Hexes are coloured by earliest year of occurrence; lighter colours are more recent. Records prior to 1980 not plotted. B A female X. violacea individual (Bautsch, CC0, via Wikimedia Commons.). C The male X. violacea (iyXylViol4) used for DNA sequencing in this study.

Full size image

In recent years, Xylocopa violacea has exhibited a marked range expansion, with records in Germany (Praz et al. 2022), Czech Republic (Kleprlíková and Vrabec 2020), Poland (Banaszak et al. 2019), and as far north as Sweden (Cederberg and Others 2018) (Fig. 1). The northward expansion of the Violet Carpenter Bee’s range may be attributed to various factors, including climatic changes in Europe (Banaszak et al. 2019). Xylocopa violacea is a solitary bee (Vicidomini 1996), although within the genus there is evidence for several independent transitions to sociality (Gerling et al. 1989; Sless and Rehan 2023). X. violacea also exhibits a lineage specific microbiome (Alberoni et al. 2019; Holley et al. 2022; Handy et al. 2023) and a distinctive venom profile with novel melittin variants that show potential for anticancer applications (von Reumont et al. 2022; Erkoc et al. 2022). There is only a contig-level assembly of the X. violacea genome currently available (Koludarov et al. 2023).

Here, we present a pseudo-chromosomal assembly of the genome of Xylocopa violacea. The genome was sequenced as part of the pilot project of the ERGA (Mc Cartney et al. 2024). The ERGA consortium is pioneering a democratised approach to biodiversity sequencing, and paired a sample ambassador from Malta, where X. violacea is an important and understudied species, with a sequencing centre in the UK order to generate the assembly presented here. The X. violacea genome assembly is characterised by its highly heterochromatic karyotype, a trait also shared by other Xylocopa species (Hoshiba and Imai 1993). This genomic resource fills an important gap in the taxonomy of the Apidae, and also releases the potential to study the expanding population of this important pollinating species at the genomic level (e.g. Formenti et al. 2022; Webster et al. 2022).

Materials and methods

Sample acquisition

A male (iyXylViol4, ERS10526494) and female (iyXylViol2, ERS10526492) Xylocopa violacea individual were collected at Chadwick Lakes, Rabat, Malta (Latitude: 35.894639, Longitude: 14.392165). Samples were chilled to 4 °C, preserved in dry ice, and maintained at −80 °C until shipment to the Earlham Institute, Norwich, UK following Nagoya Protocol, permit ABSCH-IRCC-MT-255778-1. Sample metadata conformed to ERGA sample manifest standards (Böhne et al. 2024) and were submitted to ENA using COPO (Shaw et al. 2020).

DNA library preparation and sequencing

High molecular weight (HMW) DNA was extracted from thorax tissue of an individual male bee (iyXylViol4) using the Qiagen MagAttract HMW DNA Kit, with modifications as described in Mullin et al. (2022). HiFi library preparation and Pacific Biosciences (PacBio) sequencing were carried out following the low-input protocol described in Mullin et al. (2022), (Supplementary Methods) and sequenced on four Sequel II SMRT® Cell 8 M (diffusion loading, 30-h movie, 2-h immobilisation time, 2-h pre-extension time, 60–77 pM on plate loading concentration).

RNA extraction, RNA-seq library preparation and sequencing

RNA extractions were conducted on flash frozen head, thorax, abdomen, and leg tissues from an individual female bee (iyXylViol2) using the Omega EZNA Total RNA Kit I (R6834-01). RNA-seq libraries were then constructed using the NEBNext Ultra II RNA Library prep for Illumina kit (NEB#E7760L) NEBNext Poly(A) mRNA Magnetic Isolation Module (NEB#7490) and NEBNext Multiplex Oligos for Illumina® (96 Unique Dual Index Primer Pairs) (E6440S) at a concentration of 10uM. Libraries were sequenced on an SP flow cell on a NovaSeq 6000 instrument set up to sequence 150 bp paired end reads.

Iso-seq library preparation and sequencing

PacBio Iso-Seq libraries were constructed starting from 234 to 300 ng of total RNA from the 4 tissue specific extractions described above. Reverse transcription cDNA synthesis was performed using NEBNext® Single Cell/Low Input cDNA Synthesis & Amplification Module (NEB, E6421). Samples were barcoded and the library pool was prepared according to the guidelines laid out in the Iso-Seq protocol version 02 (PacBio, 101-763-800), using SMRTbell express template prep kit 2.0 (PacBio, 102-088-900). The Iso-Seq pool was sequenced on the PacBio Sequel II instrument with one Sequel II SMRT® Cell 8 M.

Hi-C library preparation and sequencing

High-throughput/resolution chromosome conformation capture-based (Hi-C) sequencing data was generated from head tissue of male individual iyXylViol4 using the Arima Genome Wide Hi-C kit, the NEBNext Ultra II DNA Library preparation kit, and Kappa HiFi HotStart ReadyMix. The resulting libraries were sequenced on an SP flow cell, on the Novaseq 6000 instrument, sequencing 150 bp paired end reads.

Contig level genome assembly

HiFi reads were extracted from the raw Pacific Biosciences output by the Earlham Institute core bioinformatics group using the Pacific Biosciences SMRTlink pipeline (v10.1.0.119588). Prior to assembly, HiFi reads were trimmed for adapter sequences with Cutadapt (v3.2, Martin 2011). The genome was assembled with hifiasm (v0.18.5, Cheng et al. 2021). Mitochondrial contigs were identified with MitoHifi (v3.0.0, Uliano-Silva et al. 2023), using the Apis mellifera mitochondrial genome (OK075087.1) as a closely related guide. All putative mitochondrial contigs were removed prior to scaffolding, and the MitoHifi best fit mitochondrial sequence was added back into the assembly following scaffolding. Contaminant contigs were identified and removed as the intersect of the outputs of Kraken2 (v2.0.7, Wood et al. 2019), BlobTools (v1.1.1, Laetsch and Blaxter 2017), barnapp (v0.9, Table S1), CAT (v5.2.3,von Meijenfeldt et al. 2019), and FCS-GX (v0.3.0, Astashyn et al. 2024). Assembly completeness was assessed with BUSCO (v5.0.0, Manni et al. 2021) using hymenoptera_odb10. Assembly quality and kmer completeness were assessed with Merqury (v1.3, Rhie et al. 2020). Genome size of the final assembly was estimated using FastK (Table S1) and GeneScopeFK (Table S1).

Hi-C read QC & scaffolding

Raw Hi-C reads were trimmed for adapters using trimmomatic (v0.39, Bolger et al. 2014) with the adapters.fa file from bbmap (v35.85, Bushnell 2014) as input (see Supp. Methods). Hi-C reads were mapped to the draft assembly with Juicer (v1.6, Durand et al. 2016). Following the removal of contigs assigned as contaminant or mitochondrial, Hi-C reads were mapped to the resulting assembly using the Arima Mapping Pipeline (Table S1). The resulting mappings were used to scaffold the decontaminated assembly using YaHS (v1.2a.2, Zhou et al. 2023).

Manual curation of scaffolded assembly

Following scaffolding, trimmed, unfiltered Hi-C reads were mapped to the scaffolded assembly using Juicer (v1.6, Durand et al. 2016). Using these mappings, the scaffolded assembly was manually curated to pseudo-chromosomal level using Pretext-Map (v0.1.9, Table S1) contact maps visualised in PretextView (v0.2.5, Table S1). Inputs for PrextextView (Coverage track, Gap track, Telomere track) were created using the eihic pipeline (Table S1) in curation mode (-c). Following curation, the Rapid Curation Pipeline (Table S1), developed by the GRiT team at the Wellcome Sanger Institute, was used to extract the manually curated assembly in fasta format.

Annotation

Annotation of repetitive DNA content was performed using the EI-Repeat pipeline (v1.3.4, Table S1) which uses third party tools for repeat calling. The repeat content of the iyXylViol4.1 assembly was further classified using srf (Zhang et al. 2023) and TRASH (Wlodzimierz et al. 2023), and visualised using StainedGlass (Vollger et al. 2022). The telomeric repeat landscape was explored using the explore and search functions of tidk (Table S1). Gene models were generated from the iyXylViol4.1 assembly using REAT – Robust and Extendable eukaryotic Annotation Toolkit (Table S1) and Minos (Table S1) which make use of Mikado (Table S1), Portcullis (Table S1) and many third-party tools (listed in the above repositories).

Results & discussion

DNA sequencing

HMW DNA extractions from two 30 mg sections of thorax tissue from a single male Xylocopa violacea individual (iyXylViol4) yielded 829 ng of HMW DNA, with 74–84% of fragments over 40 kb fragment size (Fig. S1). Following library preparation, 2,520,442 PacBio HiFi Reads were obtained (21.8× coverage of the final assembly). The whole head tissue from this individual (98 mg) was used to generate 535,271,589 Illumina paired reads following proximity ligation and Arima High Coverage Hi-C library preparation (see Supp. Results). Following QC, 509,760,108 read pairs remained.

Transcriptome sequencing

Total RNA was extracted from four tissues segments (Head, Thorax, Abdomen, Legs) from a second individual (female, iyXylViol2). These tissues produced 4.3 µg, 3.6 µg, 18.2 µg, 2.6 µg of total RNA respectively. We generated 149,032,417,107,159,638,116,609,061, and 148,189,077 Illumina RNA-seq short reads respectively for the head, thorax, abdomen, and legs. Additional RNA-seq reads, from X. violacea venom gland, were downloaded from SRA (SRR14690757, Koludarov et al. 2023). The same extractions were also used to generate 790,150, 717,956, 977,170, and 999,264 PacBio Iso-Seq long reads for the head, thorax, abdomen, and legs respectively. Cumulatively, this represented an average of 81.76x long-read coverage of the transcriptome.

Genome assembly

The initial contig assembly had 1224 contigs and spanned 1.08 Gb with an N50 of 5.91 Mb (Table 1). Prior to scaffolding, 161 contigs (59.8 Mb) were classified as contaminant content and removed from the assembly. A contig was only classified as contaminant and removed if it was identified in the output of 2 of the following tools: Contigs identified as not within the Insecta by Kraken2 (316), contigs classified as ‘’no-hit’ by blobtools (389), contigs identified as bacterial or archaeal 16 s by barnapp (384), contigs classified as bacterial or viral by CAT (4), or contigs identified as contaminants by FCS-GX (1). For further details see Table S6. 79 mitochondrial candidates (1.7 Mb), identified by MitoHifi, were also removed. With this content removed, the assembly had 984 contigs spanning 1.02 Gb, with an N50 of 5.96 Mb (Table 1).

Table 1 Contiguity statistics of the iyXylViol4.1 assembly at four stages of the assembly pipeline.
Full size table

Scaffolding generated an assembly with 1343 scaffolds spanning 1.02 Gb with an N50 of 6.65 Mb (Table 1). The scaffolded assembly was manually curated to give the final pseudo-chromosomal iyXylViol4.1 assembly (GCA_963969225.2), containing 1300 scaffolds over 1.02 Gb, and an N50 of 11.42 Mb (Fig. 2, Table 1). The consensus mitogenome (21.8 Kb) was added to the assembly following manual curation and annotation. The iyXylViol4.1 assembly contains 17 pseudo-chromosomal units. One of these units has Hi-C telomeric signal at both ends, and the remaining 16 of which have Hi-C telomeric signal at one end. Xylocopa violacea has been suggested to have a karyotype of 16 (Granata 1909), similar to a related species, X. fenestra, (Kumbkarni 1965; Kerr and da Silveira 1972), thus it is possible that two of the remaining super scaffolds in the iyXylViol4.1 assembly correspond to chromosomal arms with insufficient Hi-C signal to be joined. Alternatively, X. appendiculata has a karyotype of 17 chromosomes including a majority of pseudo-acrocentric chromosomal morphologies (Hoshiba and Imai 1993).

Fig. 2: iyXylViol4.1 assembly of the Xylocopa violacea genome.
figure 2

A Hi-C contact map (Supp Methods). Scaffolds are ordered by size with the 17 pseudo-chromosomal super scaffolds appearing in the top left half of the map, defined by overlayed lines. Visualisation constructed with multimapping reads (MAPQ = 0). B Merqury kmer spectra, k = 19, single peak representing the haploid male genome of iyXylViol4. C Completeness of the hymenoptera_odb10 BUSCO set (5991 genes).

Full size image

Following Wallberg et al. (2019), we identified the centromeric signature of low GC% in 6 super scaffolds (Supplementary Methods, Fig. S5). We identified one such region at the centre of the only firmly identified metacentric chromosome (iyXylViol4_SUPER_4). The other 5 candidates all separate putative euchromatic regions bearing many coding annotations, from regions of high repeat content. This pattern of repeat expansion around centromeric sequences has been observed in other bees, such as Austroplebeia australis (Travenzoli et al. 2022), and may help to explain the high levels of interaction between unplaced scaffolds and the pseudo-chromosomal units in the iyXylViol4.1 assembly.

Highly acrocentric karyotypes are well represented within the Xylocopinae, the genus Ceratina exhibits species with karyotypes representing 14–17 chromosomes, with ratios of acrocentric to metacentric chromosomes varying between 16:1, 15:2, and 12:5 (Hoshiba and Imai 1993; Cunha et al. 2021). Such patterns are also common in other, more evolutionarily distant bees: Austroplebeia australis has been shown to have 14 largely heterochromatic chromosome pairs and four that are fully euchromatic (Travenzoli et al. 2022).

Without further investigation, potentially employing ultra-long read technologies, it is not possible to differentiate between N = 16 or N = 17 from the iyXylViol4.1 assembly.

Assembly QC

BUSCO analysis of the iyXylViol4.1 assembly showed that it contains 96.5% of the 5991 hymenoptra_odb10 set as complete genes, with only 0.4% complete and duplicated, 0.6% fragmented, and 2.5% missing (Fig. 2, Table S2). The genic content was not impacted by the scaffolding process as the same metrics are recovered in the contig, scaffolded, and manually curated assemblies. The iyXylViol4.1 assembly is QV 63.3 and has a kmer completeness of 98.8% (Table S3).

The iyXylViol4.1 assembly is 1.02 Gb in length. Although this is not outside of the upper limits for known genome sizes from the Apidae e.g. Melipona capixaba 1.38 Gb, (Tavares et al. 2010; Cunha et al. 2021), k-mer based estimation of genome size from iyXylViol4.1 suggests the genome size to be 672 Mb (Table S4, Fig. S4). This estimation is in line with the only prediction from the genus Xylocopa comes from Ardila-Garcia et al. (2010), who report an estimated genome size of 0.69 pg (~675 Mb) for Xylocopa virginica krombein. This species is a member of the North American subgenus Xylocopoides, thought to have diverged from the genus Xylocopa s.l. some 34 mya (Leys et al. 2002), and so using this estimate as a cross validation for the iyXylViol4.1 assembly may not be relevant. The 17 pseudo-chromosomal iyXylViol4.1 super scaffolds (including unloc) are 481.4 Mb in length, representing a large majority of the predicted genome size. As complete reconstruction of the iyXylViol4.1 chromosomes was not feasible in this study, we have included all unplaced scaffolds in the final assembly, as these likely encompass the remaining genomic content.

Repeat content

The majority of the iyXylViol4.1 assembly was masked as repetitive sequence (821.28 Mb, 80.47%) (Table S5). The predominant category was unclassified repeats, with 755.96 Mb (74.08%). This pattern is consistent with pseudo-acrocentric chromosomes with extremely elongated heterochromatic arms which are frequently observed in bees and wasps (Hoshiba and Imai 1993). These have been suggested to be induced by saltatory growth of constitutive heterochromatin after centric fission (Hoshiba and Imai 1993). Bees from the Apinae genus Melipona have recently been shown to exhibit up to 73% heterochromatin content (Pereira et al. 2021). As is seen in iyXylViol4.1, bees from the genus Melipona also have terminal euchromatic regions (Piccoli et al. 2018) which is consistent with the pseudo-acrocentric chromosomal topology derived from X. appendiculata (Hoshiba and Imai 1993), with many chromosomes representing large expansions of heterochromatin repeats around the centromere.

Classification of the repeats within the iyXylViol4.1 assembly showed the ten most abundant satellite repeat units identified by srf (Zhang et al. 2023) to occupy 105.6 Mb of the assembly (Table S6). Further decomposition of the satellite repeats present in the iyXylViol4.1 assembly, using TRASH (Wlodzimierz et al. 2023), revealed the predominant monomeric repeat unit to be a 109mer (Figs. S7, S8, Table S7). This 109mer or a 217mer (approximately double its length) were highly abundant throughout the putative acrocentric chromosomes (Fig. S8) and was repeated with high identity (Fig. S7).

We also observe that the putative centromeric sequences are flanked by a distinct repeat signature. In the metacentric iyXylVio4_SUPER_4, the putative centromere has expansions of a 95mer on either side of it. Regions abundant in this 95mer are also seen in 13 of the 16 putative acrocentric pseudo-chromosomal molecules (Fig. S8), and these often occur in proximity to the location of the regions of low GC% which are putatively centromeric.

Recent studies have shown telomeric repeat motifs in Hymenoptera to be diverse, including complex telomeric layering resulting from numerous site specific retrotransposon insertions (Lukhtanov 2022; Zhou et al. 2022). The iyXylViol4.1 assembly shows that X. violacea has telomeres enriched for the canonical 5 bp ancestral arthropod repeat motif (TTAGG) (Fig. S5). The iyXylViol4.1 assembly also shows that X. violacea has varying sub-telomeric repeat sequences, consistent with ‘Type 2’ telomeres suggested by Lukhtanov and Pazhenkova (2023) (Fig. S6).

Annotation

The iyXylViol4_EIv1.0 annotation of the iyXylViol4.1 assembly contains 10,152 high confidence, protein-coding gene models, coding for 26,577 transcripts (Table S8). This number of annotations is well within the range of those generated for contemporary genome assemblies (Table S9). Using the hymenoptera_odb10 database, this annotation represents 99.75% BUSCO completeness at the protein level, with only 34 BUSCO genes duplicated, 3 fragmented and 12 missing (Table S3). The annotation contains an average of 2.49 transcripts per gene, with a mean transcript cDNA size of 3,238.2 bp (Table S10). The distribution of coding genes is skewed to the distal end of the 16 pseudo-chromosomal super-scaffolds with putative pseudo-acrocentric structure (Fig. S5), supporting the previously suggested topology of highly repetitive pseudo-acrocentric chromosomes expected in Xylocopa species (Hoshiba and Imai 1993; Gokhman 2023).

Conclusion

Here, we present a pseudo-chromosomal genome assembly of the Violet Carpenter bee, Xylocopa violacea. At 1.02 Gb, the assembly is larger than the predicted genome size (672 Mb), but also represents large regions of highly repetitive, putatively heterochromatic, sequence. Such chromosomal architecture is in line with the small amount of karyotypic resources from the genus and is also supported by the iyXylViol4_EIv1 annotation. The repetitive regions we describe are predominantly made up of 109 and 217mers. The annotated assembly we present fills an important taxonomic gap in the genomic resource set representing Hymenoptera and will also provide a genomic basis for future interpretation of the expanding range of this charismatic and economically important species.

Related Articles

Pathogens and planetary change

Emerging infectious diseases, biodiversity loss, and anthropogenic environmental change are interconnected crises with massive social and ecological costs. In this Review, we discuss how pathogens and parasites are responding to global change, and the implications for pandemic prevention and biodiversity conservation. Ecological and evolutionary principles help to explain why both pandemics and wildlife die-offs are becoming more common; why land-use change and biodiversity loss are often followed by an increase in zoonotic and vector-borne diseases; and why some species, such as bats, host so many emerging pathogens. To prevent the next pandemic, scientists should focus on monitoring and limiting the spread of a handful of high-risk viruses, especially at key interfaces such as farms and live-animal markets. But to address the much broader set of infectious disease risks associated with the Anthropocene, decision-makers will need to develop comprehensive strategies that include pathogen surveillance across species and ecosystems; conservation-based interventions to reduce human–animal contact and protect wildlife health; health system strengthening; and global improvements in epidemic preparedness and response. Scientists can contribute to these efforts by filling global gaps in disease data, and by expanding the evidence base for disease–driver relationships and ecological interventions.

Successes and failures of conservation actions to halt global river biodiversity loss

To address the losses of river biodiversity worldwide, various conservation actions have been implemented to promote recovery of species and ecosystems. In this Review, we assess the effectiveness of these actions globally and regionally, and identify causes of success and failure. Overall, actions elicit little improvement in river biodiversity, in contrast with reports from terrestrial and marine ecosystems. This lack of improvement does not necessarily indicate a failure of any individual action. Rather, it can be attributed in part to remaining unaddressed stressors driving biodiversity loss; a poor match between the spatial scale of action and the scale of the affected area; and absence of adequate monitoring, including insufficient timescales, missing reference and control sites or insufficient selection of targeted taxa. Furthermore, outcomes are often not reported and are unevenly distributed among actions, regions and organism groups. Expanding from local-scale actions to coordinated, transformative, catchment-scale management approaches shows promise for improving outcomes. Such approaches involve identifying major stressors, appropriate conservation actions and source populations for recolonization, as well as comprehensive monitoring, relevant legislation and engaging all stakeholders to promote the recovery of river biodiversity.

Coastal wetland resilience through local, regional and global conservation

Coastal wetlands, including tidal marshes, mangrove forests and tidal flats, support the livelihoods of millions of people. Understanding the resilience of coastal wetlands to the increasing number and intensity of anthropogenic threats (such as habitat conversion, pollution, fishing and climate change) can inform what conservation actions will be effective. In this Review, we synthesize anthropogenic threats to coastal wetlands and their resilience through the lens of scale. Over decades and centuries, anthropogenic threats have unfolded across local, regional and global scales, reducing both the extent and quality of coastal wetlands. The resilience of existing coastal wetlands is driven by their quality, which is modulated by both physical conditions (such as sediment supply) and ecological conditions (such as species interactions operating from local through to global scales). Protection and restoration efforts, however, are often localized and focus on the extent of coastal wetlands. The future of coastal wetlands will depend on an improved understanding of their resilience, and on society’s actions to enhance both their extent and quality across different scales.

Biodiversity offsets, their effectiveness and their role in a nature positive future

Biodiversity offsetting is a mechanism for addressing the impacts of development projects on biodiversity, but the practice remains controversial and its effectiveness generally poor. In the context of the Global Biodiversity Framework and the emergence of new approaches for mitigating damage, we need to learn from the past. In this Review, we explore biodiversity offsetting, its effectiveness and its future prospects, especially in relation to ‘nature positive’ goals. Offsets often fall short of their stated goal: to achieve at least no net loss of affected biodiversity. However, such failures are prominent because offsets have more explicit quantitative objectives than most other conservation approaches, whose effectiveness is also variable. These clear objectives provide the potential for the transparency that alternative approaches to addressing negative human impacts on biodiversity lack. Unfortunately, promising alternatives are scarce, so offsetting and offset-like mechanisms remain a necessary component of strategies to halt and reverse nature loss. However, improving their performance is essential. No quick and easy solution exists; instead, upholding best practice principles and rigorous implementation — including in the face of challenges from opposing narratives and interest groups — remains key.

Why do travelers discontinue using integrated ride-hailing platforms? The role of perceived value and perceived risk

Despite integrated ride-hailing platforms have provided many benefits to travelers, there are also various potential risks. This study aims to examine travelers’ discontinuance behavioral intention toward integrated ride-hailing platforms. The research framework was established by extending the theory of planned behavior (TPB) with perceived value and perceived risk. Perceived value was classified into utilitarian, hedonic, and social values, while perceived risk was classified into privacy, performance, security, and financial risks. Additionally, the factors of switch cost and personal innovativeness were included. An empirical analysis was carried out using partial least-squares structural equation modeling (PLS-SEM) based on a survey conducted in Nanjing, China. Furthermore, a multi-group analysis (MGA) was performed to examine behavioral differences across demographic variables. The findings suggest that discontinuous behavioral intention is influenced by subjective norms, perceived behavioral control, and attitude. Among them, perceived behavioral control shows the strongest impact (−0.190). Perceived value, including utilitarian, hedonic, and social dimensions, negatively influences discontinuance intention, whereas the four variables of risk perception positively affect discontinuance intention. Notably, social value, performance risk, and privacy risk act higher total effects on discontinuance intention. Switch cost is negatively associated with attitude (−0.222), and positively affects discontinuance intention (0.189). Personal innovativeness has positive and stronger effects on perceived value (0.237), negative effects on perceived risk (−0.174), and negative effects on discontinuance intention. Regarding MGA results, older travelers demonstrate a stronger impact of social value on perceived value, higher-income groups exhibit greater sensitivity to security risks, and frequent travelers prioritize utilitarian value.

Responses

Your email address will not be published. Required fields are marked *