Industries have been a major culprit in increasing carbonaceous emissions and major contributors to global warming over the past decades. Factories in the urban periphery tend to warm cities more as compared with rural surroundings. Recently, nature-based solutions have been promoted to provide solutions related to climate adaptations and mitigation issues and challenges. Among these solutions, urban trees have proven to be an effective solution to remove air pollutants and mitigate air pollution specifically caused by carbon emissions. This work was designed to assess the role of tree species in mitigating air emissions of carbon around the vicinity of various industrial sites. For this purpose, three different industrial sites (weaving, brick kiln, and cosmetic) were selected to collect data. Selected industrial sites were divided into two areas, i.e., (a) area inside the industry and (b) area outside the industry. The samples were collected from 100 square meters inside the industries and 100 square meters outside the industries. Five different trees species comprised of four replications were selected for sampling. About twenty trees species from inside and outside of the industries were measured, making it 120 trees from all three selected industries for estimating aboveground and belowground biomass, showing their carbon estimation. The results showed that Moringa oleifera depicted overall higher total biomass from both inside (2.58, 0.56, and 4.57 Mg ha⁻¹) and outside sites from all three selected industries. In terms of total carbon stock and carbon sequestration inside the industry sites, Syzygium cumini had the most dominant values in the weaving industry (2.82 and 10.32 Mg ha⁻¹) and brick kiln (3.78 and 13.5 Mg ha⁻¹), while in the cosmetic industry sites, Eucalyptus camaldulensis depicted higher carbon, stock, and sequestration values (7.83 and 28.70 Mg ha⁻¹). In comparison, the sites outside the industries’ vicinity depicted overall lower carbon, stock, and sequestration values. The most dominant tree inside came out to be Dalbergia sisso (0.97 and 3.54 Mg ha⁻¹) in the weaving industry sites, having higher values of carbon stock and carbon sequestration. Moringa oliefra (1.26 and 4.63) depicted dominant values in brick kiln sites, while in the cosmetic industry, Vachellia nilotica (2.51 and 9.19 Mg ha⁻¹) displayed maximum values as compared with other species. The findings regarding belowground biomass and carbon storage indicate that the amount of soil carbon decreased with the increase in depth; higher soil carbon stock values were depicted at a 0–20 cm depth inside and outside the industries. The study concludes that forest tree species present inside and outside the vicinity of various industries have strong potential in mitigating air emissions.

The moist temperate forests in Northern Pakistan are home to a variety of flora and fauna that are pivotal in sustaining the livelihoods of the local communities. In these forests, distribution and richness of vegetation, especially that of medicinal plants, is rarely reported. In this study, we carried out a vegetation survey in District Balakot, located in Northeastern Pakistan, to characterize the diversity of medicinal plants under different canopies of coniferous forest. The experimental site was divided into three major categories (viz., closed canopy, open spaces, and partial tree cover). A sampling plot of 100 m² was established on each site to measure species diversity, dominance, and evenness. To observe richness and abundance, the rarefaction and rank abundance curves were plotted. Results revealed that a total of 45 species representing 34 families were available in the study site. Medicinal plants were the most abundant (45%) followed by edible plants (26%). Tree canopy cover affected the overall growth of medicinal plants on the basis of abundance and richness. The site with partial canopy exhibited the highest diversity, dominance, and abundance compared to open spaces and closed canopy. These findings are instrumental in identifying the wealth of the medicinal floral diversity in the northeastern temperate forest of Balakot and the opportunity to sustain the livelihoods of local communities with the help of public/private partnership.

Mitigating climate change requires the identification of tree species that can tolerate water stress with fewer negative impacts on plant productivity. Therefore, the study aimed to evaluate the water stress tolerance of young saplings of C. erectus and M. alba under three soil water deficit treatments (control, CK, 90% field capacity, FC, medium stress MS, 60% FC and high stress, HS, 30% FC) under controlled conditions. Results showed that leaf and stem dry weight decreased significantly in both species under MS and HS. However, root dry weight and root/shoot ratio increased, and total dry weight remained similar to CK under MS in C. erectus saplings. Stomatal conductance, CO₂ assimilation rate decreased, and intrinsic water use efficiency increased significantly in both species under MS and HS treatments. The concentration of hydrogen peroxide, superoxide radical, malondialdehyde and electrolyte leakage increased in both the species under soil water deficit but was highest in M. alba. The concentration of antioxidative enzymes like superoxide dismutase, peroxidase, catalase, and ascorbate peroxidase also increased in both species under MS and HS but was highest in C. erectus. Therefore, results suggest that C. erectus saplings depicted a better tolerance to MS due to an effective antioxidative enzyme system.

Bambusa lapidea is primarily distributed in Guangdong, Guangxi, Sichuan, Yunnan, and Hong Kong in China, occurring on plains, lower hills, and wetlands on both sides of rivers and adjacent to villages. Therefore, we sequenced and reported the complete chloroplast genome of B. lapidea for the first time. The complete chloroplast genome sequence of B. lapidea was generated by de novo assembly using whole-genome next generation sequencing. The genome was 139,525 bp in total length, including a large next-copy (LSC) region of 83,034 bp, a small single-copy (SSC) region of 12,893 bp, a pair of invert repeats (IR) regions of 21,799 bp. The plastid genome contained 127 genes including 83 protein-coding genes, 36 tRNA genes, and eight rRNA genes. Phylogenetic analysis based on 14 chloroplast genomes indicates that B. lapidea is closely related to B. arnhemica sinospinosa and B. teres in Bambusodae.

The article significantly advances our understanding of the White-bellied Sholakili (Sholicola albiventris), an endemic bird species in the Shola Sky Islands of the Western Ghats. The authors provide the first inclusive genome assembly, utilizing bot...

Bambusa albolineata (local name: Hua Zhu) is found in Zhejiang, Jiangxi, Fujian, Taiwan, and Guangdong provinces of China, and is often cultivated on low hills, flatlands, and along streams and rivers. Due to its long internodes and flexible material, it is used as timber wood in China. In the current research, the complete chloroplast (CP) genome of B. albolineata was sequenced and reported for the first time. The complete CP genome sequence was 139,326 bp, including a large single-copy (LSC) region of 82,862 bp, a small single-copy (SSC) region of 12,870 bp, and a pair of invert repeats (IR) regions of 21,798 bp. Besides, the plastid genome consisted of 129 genes; having 82 protein-coding genes, 39 tRNA genes, and eight rRNA genes. The overall GC content of the genome was 44.2%. The phylogenetic analysis based on the complete chloroplast genome indicates that B. albolineata is strongly related to B. flexuosa and B. boniopsis.