Drechsler M. (2020). Model-based integration of ecology and socio-economics for the management of biodiversity and ecosystem services: state of the art, diversity and current trends. Environmental Modelling & Software, 01/12/2020, vol. 134, p. 1-9.
https://doi.org/10.1016/j.envsoft.2020.104892
https://doi.org/10.1016/j.envsoft.2020.104892
Titre : | Model-based integration of ecology and socio-economics for the management of biodiversity and ecosystem services: state of the art, diversity and current trends (2020) |
Auteurs : | M. Drechsler |
Type de document : | Article |
Dans : | Environmental Modelling & Software (vol. 134, December 2020) |
Article en page(s) : | p. 1-9 |
Langues : | Anglais |
Langues du résumé : | Anglais |
Catégories : |
Catégories principales 07 - ENVIRONNEMENT ; 7.4 - Ressources Naturelles : Paysage, Biodiversité, Patrimoine naturelThésaurus IAMM BIODIVERSITE ; SERVICE ECOSYSTEMIQUE ; ECOLOGIE ; MODELE ; MODELE BIOECONOMIQUE ; MODELE ECONOMIQUE ; MODELE DYNAMIQUE ; GESTION DES RESSOURCES NATURELLES |
Résumé : | Models are important tools to integrate ecological and socio-economic knowledge to better understand and manage social-ecological systems. Challenges include, among others, the adequate representation of feedback loops between the socio-economic and the ecological subsystems, uncertainties and human behaviour. To analyse how well models are able to address these challenges in the fields of biodiversity conservation and ecosystem services management the present paper systematically reviews recent mechanistic models of the field and analyses them with respect to a number of binary criteria. The reviewed models generally contain quite a few of the above-mentioned system features but still fall short when it comes to the adequate representation of the socio-economic dimension. Sorting the models by the labels given to them by their authors, such as ecological-economic or system-dynamic, allows assessing model variation within and among labels and indicates that there is a fruitful level of diversity in the models. |
Cote : | Réservé lecteur CIHEAM |
URL / DOI : | https://doi.org/10.1016/j.envsoft.2020.104892 |