Assessing eutrophication in coastal and transitional waters is of utmost importance, yet
existing Trophic Status Index (TSI) models face challenges like multicollinearity, data …

In the past decade, the deployment of deep learning (Artificial Intelligence (AI)) methods has
become pervasive across a spectrum of real-world applications, often in safety-critical …

Improving models of species' distributions is essential for conservation, especially in light of
global change. Species distribution models (SDMs) often rely on mean environmental …

Heptacodium miconioides is listed by the International Union for Conservation of Nature
(IUCN) as a rare and endangered plant which is being subjected to competition for …

Absence data are often lacking for species distribution modeling (SDM) purposes. This
necessitates selecting background or pseudo-absence observations that influence SDM …

Abstract The Yellow River Delta (YRD) is a key breeding place for Saunders's Gull
(Saundersilarus saundersi), one of the vulnerable birds in the world. Thus, a thorough …

Current climate change represents the unprecedented change in weather patterns across
global and regional scales over a short period due to human activity. It is expected to drive …

Abstract South India's Western Ghats are a global biodiversity hotspot and an area of
conservation concern with numerous endemic species. There is an urgent need for accurate …

Many domestic animals have a profound impact on endangered species through complex
interactions and spillover effects in and between coupled human and natural systems. A …

Context Shifts in climate and land use have dramatically reshaped ecosystems, impacting
the distribution and status of wildlife populations. For many species, data gaps limit …