Model-based integration of ecology and socio-economics for the management of biodiversity and ecosystem services: State of the art, diversity and current trends. (December 2020)
- Record Type:
- Journal Article
- Title:
- Model-based integration of ecology and socio-economics for the management of biodiversity and ecosystem services: State of the art, diversity and current trends. (December 2020)
- Main Title:
- Model-based integration of ecology and socio-economics for the management of biodiversity and ecosystem services: State of the art, diversity and current trends
- Authors:
- Drechsler, Martin
- Abstract:
- Abstract: 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. Highlights: Papers with models integrating ecological and socio-economic knowledge are reviewed. Considered fields of application are biodiversity conservation and ecosystem services. Models contain important features but generally miss important socio-economic issues. There seems to be a fruitful level of diversity among the models in the field.
- Is Part Of:
- Environmental modelling & software. Volume 134(2020)
- Journal:
- Environmental modelling & software
- Issue:
- Volume 134(2020)
- Issue Display:
- Volume 134, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 134
- Issue:
- 2020
- Issue Sort Value:
- 2020-0134-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-12
- Subjects:
- Agent-based models -- Bio-economic models -- Ecological-economic models -- Social-ecological models -- System-dynamic models
Environmental monitoring -- Computer programs -- Periodicals
Ecology -- Computer simulation -- Periodicals
Digital computer simulation -- Periodicals
Computer software -- Periodicals
Environmental Monitoring -- Periodicals
Computer Simulation -- Periodicals
Environnement -- Surveillance -- Logiciels -- Périodiques
Écologie -- Simulation, Méthodes de -- Périodiques
Simulation par ordinateur -- Périodiques
Logiciels -- Périodiques
Computer software
Digital computer simulation
Ecology -- Computer simulation
Environmental monitoring -- Computer programs
Periodicals
Electronic journals
363.70015118 - Journal URLs:
- http://www.sciencedirect.com/science/journal/13648152 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.envsoft.2020.104892 ↗
- Languages:
- English
- ISSNs:
- 1364-8152
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3791.522800
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 15544.xml