ABSTRACT
Infrared and visible image fusion technologies are used to characterize the same scene using diverse modalities. However, most existing deep learning-based fusion methods are designed as symmetric networks, which ignore the differences between modal images and lead to source image information loss during feature extraction. In this paper, we propose a new fusion framework for the different characteristics of infrared and visible images. Specifically, we design a dual-stream asymmetric network with two different feature extraction networks to extract infrared and visible feature maps, respectively. The transformer architecture is introduced in the infrared feature extraction branch, which can force the network to focus on the local features of infrared images while still obtaining their contextual information. The visible feature extraction branch uses residual dense blocks to fully extract the rich background and texture detail information of visible images. In this way, it can provide better infrared targets and visible details for the fused image. Experimental results on multiple datasets indicate that DSA-Net outperforms state-of-the-art methods in both qualitative and quantitative evaluations. In addition, we also apply the fusion results to the target detection task, which indirectly demonstrates the fusion performances of our method.
ABSTRACT
Aphaenogaster japonica (Forel, 1911) is an omnivorous ant that is widely distributed in eastern Asia. The mitochondrial genome of A. japonica reported here was 18,607 bp in length, consisting of 13 protein-coding genes, two ribosomal RNA genes, 22 transfer RNA genes, and a control region. The base composition was AT biased (the GC ratio is 18.9%). With A. japonica added, we obtain weak evidence that the sister group of the Stenammini group, including Aphaenogaster, is the Myrmicini group. Therefore, the Stenammini and Myrmicini groups may be not a robust monophyletic group, unlike the previous results based on the complete mitochondrial genome.
ABSTRACT
Pheidole nodus (Smith, 1874) belongs to a famously hyperdiverse and ecologically dominant ant genus. The mitochondrial genome of P. nodus is 15,579 bp in length, and the overall base composition is 78.6% AT. It includes 13 protein-coding genes, 2 ribosomal RNA genes, 22 transfer RNAs, and a control region. Phylogenetic trees show that P. nodus is more closely related to Wasmannia than to Atta. These sequence data will play an important role in the investigation of the phylogenetic relationships and taxonomy of the group Attini.
ABSTRACT
Tetramorium tsushimae (Emery, 1925) is an omnivorous ant species native to East Asia and has been introduced to North America. The mitochondrial genome of T. tsushimae is 19,207 bp in length with an A + T content of 81.3% and includes 13 protein-coding genes, 2 ribosomal RNA genes, 22 transfer RNAs, and a control region. This sequence data would play an important role in the investigation of mitochondrial evolution of the subfamily Myrmicinae.
ABSTRACT
The wildlife trade threatens global biodiversity and animal welfare, where parrots are among the taxa most frequently traded, supplying exotic pets and captive breeders worldwide. Using phylogenetic path analysis, we examine how biological factors interact with price to influence online protected parrot trade volumes in China, using transactions recorded for 46 species (n = 5862 individuals). Trade was greatest in smaller, faster breeding species that commanded a lower price. This price effect followed the economic law of demand, with Relatively Inelastic Demand (-0.758), outweighing indicators of 'quality' such as body coloration, and conservation status. We identify two areas of concern: those larger, slower-breeding, rarer species, even though sold at lower numbers, may be at conservation risk if harvested from the wild. In contrast, the sheer numbers (over 90% of the individuals were under median generation length, body mass and/or price) and ready availability of smaller and more common species comprises a substantial overall animal welfare issue, given that the capture, importation, or captive breeding of many parrot species in China is illegal and thus unregulated. Our investigation highlights the importance of properly understanding the internal relations among drivers of wildlife trade to inform appropriate management.
ABSTRACT
The transfer of pollutants from chemical fertilizers through food webs within cropland is well documented; however, its impacts on the wild animals that forage on croplands but roost in other locations remain poorly understood. The potential for this cross-ecosystem 'spillover' of pollutants is greatest for bats, some of which exploit urban settlements as roosting niches but must travel long distances to reach croplands as foraging niches. Here, we used hairs from a colony of insectivorous bats, Chinese Noctule (Nyctalus plancyi), from an urban area in Southwest China to assess whether exposure to heavy metals/metalloids by the bats varied from 1975 to 2016. Historical changes occurred in hair cadmium (Cd) concentrations in adult females, which was exclusively explained by the regional fertilizer application intensity (FAI), even considering the potential impacts of Cd emissions in urban areas, as indicated by camphor trees (Cinnamomum camphora) near the bats' roosting niche, and the potential impacts of Cd in industrial wastewater, as documented in authorized databases. Therefore, the data from this bat colony, as urban dwellers, indicates Cd accumulation and cross-ecosystem transfer from rural croplands to an urban area.
