Michael Harfoot, Derek P. Tittensor, Tim Newbold, Greg McInerny, Matthew J. Smith, and Jorn P.W. Scharlemann
Human impacts on the biosphere are a matter of urgent and growing concern, with ecologists increasingly being asked to project biodiversity futures. The Intergovernmental science-policy¬ Platform on Biodiversity and Ecosystem¬ Services (IPBES) is likely to comprehensively assess such projections, yet despite being widely used and potentially critical tools for analysing socio-environmental futures, Integrated-Assessment-Models (IAMs) have received little attention from ecological modellers. We aim to raise awareness and understanding of IAMs among ecologists by describing the structure and composition of IAMs, assessing their utility for biodiversity projections, and identifying limitations that hamper greater interaction between IAM and ecological modelling communities. We also hope to inspire more accessible and applicable models, by suggesting development needs to the IAM community.
We conduct a systematic review of four state-of-the-art IAMs, which describes and contrasts key model features and analyses six aspects of IAMs of fundamental interest to ecologists.
IAMs could be valuable for modelling biodiversity futures; however, current IAMs were not developed for this application and challenges remain for ecologists looking to utilise their outputs. Separating and understanding the differences resulting from IAM formulation and those resulting from specific scenario assumptions is currently problematic, and current IAMs may be unable to accurately represent environmental conditions both for Earth-system projections and on which to build robust models of biodiversity because key ecological processes are absent.
We suggest that model inter-comparisons would identify differences in model dynamics, and detailed studies of how dynamical interactions between components influence behaviour would address why such differences arise; bio-economic fisheries models and agriculture-pollination models provide starting points for integrating key ecological feedbacks within IAMs; ultimately, making IAMs more accessible within the multidisciplinary study of global change, drawing on user-centred research, would enable more resolved, reliable and accurate assessment of how Earth’s socio-ecological system is approaching planetary boundaries.
In Global Ecology and Biogeography