Abstract Context Artificial Intelligence (AI) has rapidly developed over the past several
decades. Several related AI approaches, such as Machine Learning (ML), have been …

Machine learning, an important branch of artificial intelligence, is increasingly being applied
in sciences such as forest ecology. Here, we review and discuss three commonly used …

The recent wave of published global maps of ecological variables has caused as much
excitement as it has received criticism. Here we look into the data and methods mostly used …

Landscape ecology continues to grow as an exciting discipline with much to offer for solving
pressing and emerging problems in environmental science. Much of the strength of …

Landscape ecology has made tremendous progress in recent decades, but as a rapidly
developing discipline it is faced with new problems and challenges. To identify the key …

Pattern–process analysis is one of the main threads in landscape ecological research. It
aims at understanding the complex relationships between ecological processes and …

Landscape ecology has rapidly established itself as an interdisciplinary research field
worldwide in the past few decades. However, diversification in perspectives and approaches …

Landscape ecology has generated much excitement in the past two decades. One reason
was that it brought spatial analysis and modeling to the forefront of ecological research …

Quantifying the spatial pattern of landscapes has become a common task of many studies in
landscape ecology. Most of the existing software to compute landscape metrics is not well …

Habitat change and fragmentation are considered key drivers of environmental change and
biodiversity loss. To understand and mitigate the effects of such spatial disturbances on …