This article advances SDG # 15 and SDG # 14 by highlighting the value of the use of haematology in identifying changing patterns of health among seabirds which may serve as an early indicator of breeding failure, overwintering mortality, and population declines.

This paper highlights the alarming rate of which levels of chemicals are being found in seawater.

This is a really interesting paper of the risks that Northwest Atlantic poses on the leatherback turtle, such as plastic bags and rope.

"Illegal wildlife trade is a global concern and a major threat to biodiversity conservation. DNA barcoding, specifically the use of cytochrome c oxidase subunit I gene (COI), is widely used to identify wildlife species in the Philippines.
DNA fingerprinting provide accurate identification of aquatic species and can be used for monitoring and tracking IWT."

This paper identifies the socioeconomic and ecological factors that can stimulate the implementation of Nature Based Solutions in developing economies

How to determinemicroplatsctis in samples in a green way? Often sample preparation steps involve environmentally harmful chemicals. This artcile decsibes a robust, efficient and green sample preparation with a high separation quality.

This article supports SDGs 13 and 14 because it confirmed the significant correlation observed between flux and river discharge in Bhagirathi, a turbulent Himalayan river. Himalayan rivers are considered the most sensitive of all the ecosystems to the impact of climate change.

This article examines the extent to which Marine Protected Area can fit for purpose in Western Indian Ocean, in the context of global warming.

Bay of Bengal (BoB) has immense significance with respect to ecological diversity and natural resources. Studies on microbial profiling and their functional significance at sediment level of BoB remain poorly represented. Herein, we describe the microbial diversity and metabolic potentials of BOB deep-sea sediment samples by subjecting the metagenomes to Nanopore sequencing.

This content aligns with SDG Goal 6 and SDG Goal 14 by evaluating river pollution using AI to estimate dispersion coefficient.