Based on a comprehensive analysis of key definitions of Green Infrastructure (GI) and their
conceptual evolution, we present a review of current GI mapping approaches at multiple …

A broad scope of crop models with varying demands on data inputs is being used for several
purposes, such as possible adaptation strategies to control climate change impacts on future …

Multiple ecosystem services (ES) can respond similarly to social and ecological factors to
form bundles. Identifying key social-ecological variables and understanding how they co …

A variety of tools have emerged with the goal of mapping the current delivery of ecosystem
services and quantifying the impact of environmental changes. An important and often …

Land management to increase food production while conserving the environment and
associated ecosystem services (ESs) is one of the major development and research …

A wide variety of tools aim to support decision making by modelling, mapping and
quantifying ecosystem services. If decisions are to be properly informed, the accuracy and …

Scientists, stakeholders and decision makers face trade-offs between adopting simple or
complex approaches when modeling ecosystem services (ES). Complex approaches may …

Recent developments in machine learning have expanded data-driven modelling (DDM)
capabilities, allowing artificial intelligence to infer the behaviour of a system by computing …

Urban green infrastructure plays an increasingly significant role in sustainable urban
development planning as it provides important regulating and cultural ecosystem services …

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 …