<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

Decision Support Tools and Strategies to Simulate Forest Landscape Evolutions Integrating Forest Owner Behaviour: A Review from the Case Studies of the European Project, INTEGRAL

descriptionPublicationkeyboard_double_arrow_right Article , Journal , Other literature type 13 Apr 2017 Spain, Italy, Spain, Italy, Italy, Netherlands, Italy, Italy, Italy Publisher:MDPI AGJournal:Sustainability, volume 9, page 599 (eissn: 2071-1050,

Authors: Christophe Orazio; Rebeca Cordero Montoya; Margot Régolini; José Borges; Jordi Garcia-Gonzalo; Susana Barreiro; Brigite Botequim; +28 Authors

doi: 10.3390/su9040599

handle: 11577/3419053 , 11573/1715392 , 11695/61961 , 2158/1086436

Decision Support Tools and Strategies to Simulate Forest Landscape Evolutions Integrating Forest Owner Behaviour: A Review from the Case Studies of the European Project, INTEGRAL

- Summary
- Subjects
- Metrics

Abstract

For forest sustainability and vulnerability assessment, the landscape scale is considered to be more and more relevant as the stand level approaches its known limitations. This review, which describes the main forest landscape simulation tools used in the 20 European case studies of the European project “Future-oriented integrated management of European forest landscapes” (INTEGRAL), gives an update on existing decision support tools to run landscape simulation from Mediterranean to boreal ecosystems. The main growth models and software available in Europe are described, and the strengths and weaknesses of different approaches are discussed. Trades-offs between input efforts and output are illustrated. Recommendations for the selection of a forest landscape simulator are given. The paper concludes by describing the need to have tools that are able to cope with climate change and the need to build more robust indicators for assessment of forest landscape sustainability and vulnerability.

Countries

Spain, Italy, Spain, Italy, Italy, Netherlands, Italy, Italy, Italy

Related Organizations

Southern Swedish Forest Research Centre Swedish University of Agricultural Sciences
Sweden
Università degli studi di Salerno
Italy
University of Molise
Italy
UNIVERSIDADE DE LISBOA
Portugal
Aleksandras Stulginskis University
Lithuania

View all View all

Keywords

Forest management, Wood resource, Diseases, Risk evaluation, Decision support systems, Biometris (PPO/PRI), Fire, Leerstoelgroep Bos- en natuurbeleid, Forest and Nature Conservation Policy, Decision support system; Diseases; Fire; Forest landscape; Forest management; Forest owner behaviour; Indicators; Risk evaluation; Storm; Sustainability; Wood resource; Geography, Planning and Development; Renewable Energy, Sustainability and the Environment; Management, Monitoring, Policy and Law, Forest landscape, Biometris, Sustainability, Decision support system; Diseases; Fire; Forest landscape; Forest management; Forest owner behaviour; Indicators; Risk evaluation; Storm; Sustainability; Wood resource, Storm, Indicators, Bos- en Natuurbeleid, Forest owner behaviour, Decision support system, decision support system; forest landscape; indicators; sustainability; wood resource; risk evaluation; storm; fire; diseases; forest management; forest owner behaviour

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	22
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%