The popularity of machine learning (ML), deep learning (DL) and artificial intelligence (AI)
has risen sharply in recent years. Despite this spike in popularity, the inner workings of ML …

Sustainable development is a key challenge for contemporary human societies; failure to
achieve sustainability could threaten human survival. In this review article, we illustrate how …

Cyanobacterial blooms occur in lakes worldwide, producing toxins that pose a serious
public health threat. Eutrophication caused by human activities and warmer temperatures …

Abstract Aim Species distribution models (SDMs) have emerged as essential tools in the
equipment of many ecologists, useful to explore species distributions in space and time and …

The rapid expansion of nanotechnology has transformed numerous sectors, with
nanoproducts now ubiquitous in everyday life, electronics, healthcare, and pharmaceuticals …

The concepts and methodologies of machine learning are increasingly used to create semi-
autonomous programmes capable of adapting to a multitude of problems and decision …

It has not been a long time since Toughie (Fig. 1.1) died. He was a famous frog. A Rabbs'
fringe-limbed treefrog to be precise, or Ecnomiohyla rabborum. The reason for Toughie's …

Ecologists have long sought to understand the dynamics of populations and communities by
deriving mathematical theory from first principles. Theoretical models often take the form of …

The natural world is under unprecedented and accelerating pressure. Much work on
understanding resilience to local and global environmental change has, so far, focussed on …

A novel framework is proposed that utilizes symbolic regression via genetic programming to
identify free-form partial differential equations from scarce and noisy data. The framework …