Cover -- Title Page -- Copyright Page -- Table of Contents -- Acknowledgments -- 1 Introduction and Background -- 1.1 Introduction -- 1.2 What This Book Is Not About ...

From tracking wildlife to conserving microbial biodiversity, AI is becoming an indispensable partner in ecological science. Researchers are using generative models, bioacoustic analysis, and large ...

Environmental DNA (eDNA) and metabarcoding are transforming biodiversity monitoring by enabling rapid, non-invasive assessments of community composition ...

Using field sensors, various ecological modelling technologies and deep learning algorithms, a French research team has developed a method for mapping the risk of collisions between animals and ...

Researchers have shown how random forest algorithms can be applied to complex ecological models to uncover the mechanisms driving system behavior. By analyzing a stage‑structured consumer‑resource ...

We are delighted to present the 2nd volume of Frontiers in Ecology and Evolution 'Women in Models in Ecology and Evolution” article collection.At present, ...

Long-term changes in the large, shallow Lake Balaton served as empirical evidence for the developed model. Situated in Central Europe, the lake has experienced an increase of ca. 1˚C in annual mean ...

Previously known as Food and Ecological Systems Modelling Journal (FESMJ), the now rebranded journal, Agricultural and Environmental Modelling (AEM), expands its scope and deepens its Open Science ...

STARKVILLE, Miss.—A distinguished Mississippi State postdoctoral research associate renowned for her groundbreaking work in wetlands ecology is being recognized by the Society of Wetland Scientists ...

The Ecological Society of America (ESA) announces the 2025 cohort of ESA Excellence in Ecology (EEE) Scholars. This prestigious scholarship program celebrates and supports outstanding early- to ...