Identifying ecological patterns across broad spatial and temporal extents requires novel
approaches and methods for acquiring, integrating and modeling massive quantities of …

Abstract Machine learning (ML) expands traditional data analysis and presents a range of
opportunities in ecosystem service (ES) research, offering rapid processing of 'big data'and …

With the growing body of literature assessing the impact of invasive alien plants on resident
species and ecosystems, a comprehensive assessment of the relationship between invasive …

Citizen science enlists the public in collecting large quantities of data across an array of
habitats and locations over long spans of time. Citizen science projects have been …

New technologies are rapidly changing the way we collect, archive, analyze, and share
scientific data. For example, over the next several years it is estimated that more than one …

All questions in ecology and problems in conservation play out in space. This simple fact
has generated a long-standing interest from scientists and practitioners, and it is now well …

Saturated hydraulic conductivity (Ks) is a fundamental soil property that regulates the fate of
water in soils. Its measurement, however, is cumbersome and instead pedotransfer functions …

As education is an essential enabler in achieving Sustainable Development Goals (SDGs), it
should “ensure inclusive, equitable quality education, and promote lifelong learning …

Ensuring that conservation decisions are informed by the best available data is a
fundamental challenge in the face of rapid global environmental change. Too often, new …

The increasing availability of massive volumes of scientific data requires new synthetic
analysis techniques to explore and identify interesting patterns that are otherwise not …