Green and Blue Infrastructure (GBI) is a network designed and planned to deliver a wide range of ecosystem services and to protect biodiversity. Existing GBI designs lacked a systematic method to allocate restoration zones. This study proposes a novel approach for systematically selecting cost-effective areas for restoration on the basis of biodiversity, ecosystem services, and ecosystem condition to give an optimal spatial design of GBI.
Large river-floodplain systems are hotspots of biodiversity and ecosystem services but are also used for multiple human activities, making them one of the most threatened ecosystems worldwide. There is wide evidence that reconnecting river channels with their floodplains is an effective measure to increase their multi-functionality, i.e., ecological integrity, habitats for multiple species and the multiple functions and services of river-floodplain systems, although, the selection of promising sites for restoration projects can be a demanding task.
Environmental change constitutes a risk to the sustainability of economic activities, within deltas and the wider regions and economies within which they sit. Slow acting environmental change and shocks from extreme events can affect economic activities. Using multiregional input-output tables, extended to include environmental dimensions and combined with Computable General Equilibrium models, flows of economic activities and ecosystem services across supply chains are assessed.
Restoration ecology is a young scientific discipline whose limitations can compromise the recovery of ecosystem biodiversity and functions. Specifically for limitations on forest restoration, we first recommend considering measures prior to land use changes to deal with the common lack of efforts to anticipate and plan restoration. Second, we suggest using multiple references in restoration planning to avoid simplified reference characterization, and we advise assessing ecosystem recovery with indicators that better incorporate ecosystem complexity in recovery assessments.
Financiado por el Ministerio de Ciencia Innovación y Universidades y la Agencia Estatal de Investigación,
a través de la Convocatoria: Maria de Maeztu 2017 (BOE 21/10/2017) siendo la referencia de nuestro expediente: MDM-2017-0714
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