Over the last few years, considerable attention has been devoted in the scientific literature
and in the media to the concept of “ecosystem” services of soils. The monetary valuation of …

Land use/land cover (LULC) change models are powerful tools used to understand and
explain the causes and effects of LULC dynamics, and scenario-based analyses with these …

Representing human decisions is of fundamental importance in agent-based models.
However, the rationale for choosing a particular human decision model is often not …

While considerable progress has been made in understanding land use change, land
system science continues to face a number of grand challenges. This paper discusses these …

The ecosystem service concept has emphasized the role of people within socio-ecological
systems (SESs). In this paper, we review and discuss alternative ways of representing …

A primary goal of Earth system modelling is to improve understanding of the interactions and
feedbacks between human decision making and biophysical processes. The nexus of land …

Agro-food networks are characterized by complex material exchanges among farms,
processors, consumers, and waste managers involved in fertilization, food, feed and …

There is growing interest in creating empirically grounded agent based models (ABMs) to
simulate land use change at a variety of spatio-temporal scales. The development of land …

Rubber agroforests in the mostly deforested lowlands of Sumatra, Indonesia are threatened
by conversion into monoculture rubber or oil palm plantations. We applied an agent-based …

In this paper, an agent-based model of heterogeneous farmer decision-making was coupled
with an individual-based model of skylark breeding populations, and applied to a small …