Spatial optimisation of urban ecosystem services through integrated participatory and multi-objective integer linear programming

•Multiple urban ecosystem services are optimised using mathematical methods.•Participatory approaches are used to define model inputs.•The model is illustrated with a case study of Lisbon (Portugal).•Two alternative scenarios are explored.•Optimal landscape patterns may be far off from its actual fo...

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Published in:Ecological modelling Vol. 409; p. 108774
Main Authors: Elliot, Thomas, Bertrand, Alexandre, Babí Almenar, Javier, Petucco, Claudio, Proença, Vânia, Rugani, Benedetto
Format: Journal Article
Language:English
Published: Elsevier B.V 01.10.2019
Subjects:
Biodiversity
case studies
Ecosystem services
land cover
land use
linear programming
Participatory modelling
Portugal
residential areas
Spatial optimisation
stakeholders
urban areas
urban planning
urbanization
vegetation types
Portugal
Participatory modelling
Spatial optimisation
Ecosystem services
Biodiversity
ISSN:0304-3800, 1872-7026
Online Access:Get full text
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Summary:•Multiple urban ecosystem services are optimised using mathematical methods.•Participatory approaches are used to define model inputs.•The model is illustrated with a case study of Lisbon (Portugal).•Two alternative scenarios are explored.•Optimal landscape patterns may be far off from its actual form. Urban ecosystem services (UES) are the benefits supplied by nature to people in urban systems. The supply of UES is threatened because of widespread increasing urbanisation. Modelling scenarios that optimise UES supplies can support sustainable urban planning processes. UES are linked to land use/land cover (LULC) types, which enables the optimisation of UES supply to be based on LULC configurations. However, current modelling approaches are not suitably adapted to the link between UES optimisation and LULC configurations. One possibility to target UES optimal supply is to use mathematical optimisation methods. The objective of this study is to test the combined use of participatory modelling and optimisation models to deliver spatial solutions that maximise UES by optimal urban LULC configurations. An integrated model is built using a multi-objective integer linear programming (MOILP) model along with LULC performance scores to maximise a set of locally supplied UES. This is illustrated with a case study of Lisbon (Portugal) involving the participation of key stakeholders to validate and benchmark the selection of optimisation constraints. Results show land optimally allocated to land cover types with high UES functions combined with a reshuffling and densification of residential land. Thus, the new LULC configuration increased multiple UES supplies while maintaining a level of housing capacity. The model shows clear implications of increasing land cover types whose UES functions are high compared to most other LULC classes. Moreover, incorporating stakeholder participatory modelling offers a transdisciplinary and interdisciplinary scientific contribution intersecting mathematical optimisation, UES, and urban planning.
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ISSN:0304-3800
1872-7026
DOI:10.1016/j.ecolmodel.2019.108774