Towards adaptive control of landscape biodiversity

Polhill, J. Gary and Jarvis, Andrew and Gimona, Alessandro and Gotts, Nicholas M. (2010) Towards adaptive control of landscape biodiversity. In: Modelling for Environment's Sake : Proceedings of the 5th Biennial Conference of the International Environmental Modelling and Software Society, iEMSs 2010. Modelling for Environment's Sake: Proceedings of the 5th Biennial Conference of the International Environmental Modelling and Software Society, iEMSs 2010 . UNSPECIFIED, CAN, pp. 757-765. ISBN 9788890357411

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Abstract

This paper reports work using a coupled agent-based model of land use change and species metacommunity model (FEARLUS-SPOMM) to explore biodiversity incentive mechanisms using adaptive control algorithms. Existing work at the Lancaster Environment Centre has shown that such algorithms can help in analysing the adaptive capabilities of climate-related policy interventions under uncertainty. In particular, feedback control is a practical approach that mimics many recognisable features of adaptive decision making processes, including the sequential review of models and policies in the light of new observations. In a companion paper, we show that FEARLUS-SPOMM shows nonlinear dynamics in the relationship between agricultural incentives and biodiversity outcome. In this pilot study, we show that the sequential review implicit in feedback control allows information about unforeseen events to be assimilated such that biodiversity can be maintained at a desired level by adaptively adjusting agricultural incentives. We also find that Simon's 'satisficing' has its limitations in the representation of human decision making.

Item Type:
Contribution in Book/Report/Proceedings
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1712
Subjects:
?? cover changeagri-environmental incentivesbiodiversitymetacommunity modelsmodel predictive controlsoftwareenvironmental engineeringmodelling and simulation ??
ID Code:
224390
Deposited By:
Deposited On:
01 Oct 2024 01:20
Refereed?:
Yes
Published?:
Published
Last Modified:
01 Oct 2024 01:20