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The use of quantitative analysis and related metrics has traditionally been unusual for assessment of ecological impacts in urban planning. Since 2010, however, quantitative modelling has been increasingly used in such contexts in Sweden to analyze ecological connectivity. The study reviews and analyses 21 connectivity analysis reports (CAR) based on 17 criteria. Despite the use of quantitative analysis, CARs primarily leverage qualitative aspects of modelling results. Most CARs comply with about 50% of the proposed criteria and close to 90% of the reports fail to address some issues related to modelling transparency and therefore jeopardize an adequate ecological interpretation of the results. The results demonstrate that the primary accomplishment during the last decade is an increase in awareness and acceptance of ecological connectivity among practitioners and decisionmakers. Results point to that an increased use of quantitative methods per se will not deliver more sustainable outcomes, and that an increased use of quantitative methods for ecological impact assessment in urban planning needs to be accompanied by guidelines, standards, and a continuous science – practice knowledge exchange. [ABSTRACT FROM AUTHOR]

Effective natural resource management (NRM) often depends on collaboration through formal and informal relationships. Social network analysis (SNA) provides a framework for studying social relationships; however, a deeper understanding of the nature of these relationships is often missing. By integrating multiple analytical methods (including SNA, evidence ratings, and perception matrices), we were able to investigate the nature of relationships in NRM social networks across five service types (e.g., technical advice, on-ground support) in our case study region, Daly catchment Australia. Only one service type was rated as highly associated with free choice in establishing relationships: technical advice/knowledge. Beneficial characteristics of NRM organizations, such as collaborative and transparent, were associated with the presence of freely chosen relationships between organizations. Our results suggest a need to improve our understanding of organizational roles and characteristics, in particular for use in applied NRM contexts, such as network weaving or disseminating information. [ABSTRACT FROM AUTHOR]