Models and methods as support for sustainable decision-making with focus on legal operationalisation
2015 (English)In: Ecological Modelling, ISSN 0304-3800, E-ISSN 1872-7026, Vol. 306, p. 95-100Article in journal (Refereed) Published
Abstract [en]
Since the 1960s the urgency to steer mankind towards a more sound environment has grown. Currently humanity is in a transition period between today’s old paradigm – business as usual – and the new one, aiming at operationalise sustainable development goals. There is a growing understanding, that to move towards sustainable development, ecological sustainability is necessary but not sufficient. Steering society in this direction necessitates making decisions that at least do not counteract sustainability.
Such decisions have to rest firmly on a natural scientific basis. Natural laws, such as thermodynamics, and conditions set by ecosystems can therefore not been ignored, when (a) searching for technical solutions to environmental problems and to fully understand the consequences of such solutions, and (b) improving steering instruments to guide human actions.
Over the years a number of models/methods/systems have been developed to underpin sustainable decision-making, such as Environmental Impact Assessment (EIA), Life Cycle Assessment (LCA), Ecological Footprints, and Cost Benefit Analysis (CBA). Ecological modelling contributes or complements such methods. Emergy analysis, an environmental accounting and assessment method takes a wider grip embracing both ecology and economy. Less known is environmental legal modelling.
This paper puts ecological models in the context of societal steering systems for sustainable development, and focuses on a legal model for implementing environmental policy goals.
Place, publisher, year, edition, pages
2015. Vol. 306, p. 95-100
Keywords [en]
Ecological modelling, EIA (Environmental Impact Assessment), Governing states, Interdisciplinarity, Legal operationalisation, Societal steering systems, Systems thinking
National Category
Environmental Sciences
Identifiers
URN: urn:nbn:se:miun:diva-23415DOI: 10.1016/j.ecolmodel.2014.10.010ISI: 000355708000011Scopus ID: 2-s2.0-84929221631OAI: oai:DiVA.org:miun-23415DiVA, id: diva2:763000
2014-11-132014-11-132017-12-05Bibliographically approved