Subtropical forest floor CO emission at the Kaziranga National Park in Northeast India.

This study investigates the seasonal and diurnal variations of soil CO flux (Fc) and the impact of meteorological variables on its dynamics. The study took place in the subtropical forest ecosystem of Kaziranga National Park (KNP), from November 2019 to March 2020. The highest Fc (6.

Biomitigation of ammonical stress in aquaculture using luffa sponge coupled with medicinal and aromatic plants for potential application in aquaponics.

Ammonia, a major stress-inducing factor in aquaculture, contributes a significant challenge in maintaining sustainable fish production. Addressing this issue requires environmentally and economically sustainable solutions. This study explores the use of readily available and environmentally friendly porous lignocellulosic luffa sponge as a biostimulator, with a combination of three medicinal and aromatic plants(MAPs) viz.

Genetic variants and type 2 diabetes in India: a systematic review and meta-analysis of associated polymorphisms in case-control studies.

Background: India, with the largest population and second-highest type 2 diabetes mellitus (T2DM) prevalence, presents a unique genetic landscape. This study explores the genetic profiling of T2DM, aiming to bridge gaps in existing research and provide insights for further explorations.

Methods: We conducted a systematic review and meta-analysis of literature published up to September 2024 using databases like PubMed, Web of Science, Scopus, and Google Scholar to identify SNPs associated with T2DM in case-control studies within the Indian population.

Three Years of Stable Water Isotope Data of Daily Rain Samples Collected from Three Geomorphic Regions of India.

High-frequency precipitation (solid/liquid) isotope datasets are useful for identification of moisture sources and various dynamical and thermodynamical processes controlling precipitation formation. Here, we report three-year (2019-2021) daily rain isotope (both oxygen, δO hereafter, and hydrogen, δH, hereafter) datasets from three unique locations in India during the Indian Summer Monsoon (ISM). The locations are- (1) Port Blair- an island situated in the Bay of Bengal (BoB); (2) Mahabaleshwar, located at the crest of the Western Ghats Mountain; and (3) Tezpur, in northeast India, situated close to a dense forest.

Erosion landscape characterization in the Himalayan basin: insights from geospatial data and multi-criteria evaluation.

In regions characterized by mountainous landscapes, such as watersheds with high elevations, steep inclines, and rugged terrains, there exists an inherent susceptibility to water-induced soil erosion. This susceptibility underscores the importance of identifying areas prone to erosion to mitigate the loss of valuable natural resources and ensure their preservation over time. In response to this need, the current research employed a combination of four multi-criteria decision-making (MCDM) models, namely TOPSIS-AHP, VIKOR-AHP, ARAS-AHP, and CODAS-AHP, for the identification of areas susceptible to soil erosion within the Himalayan River basin of Nandakini, Uttarakhand, India.