https://nova.newcastle.edu.au/vital/access/ /manager/Index en-au 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46620 2 = 0.75–0.81). Socioeconomic (R² = 0.44–0.66) and development (R² = 27–0.44) factors have weak to moderate effects on the ESs. Furthermore, the joint effects of the driving factors are much higher than their individual effects. Among the six spatial regression models, Geographical Weighted Regression (GWR) performs the most accurately and explains the maximum model variances. The proposed hybrid valuation method aggregates biophysical and economic estimates of ESs and addresses methodological biases existing in the valuation process. The presented framework can be generalized and applied to other ecosystems at different scales. The outcome of this study could be a reference for decision-makers, planners, land administrators in formulating a suitable action plan and adopting relevant management practices to improve the overall socio-ecological status of the region.]]> Wed 07 Feb 2024 16:52:46 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38124 Wed 04 Aug 2021 15:08:24 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:55621 Tue 11 Jun 2024 14:46:13 AEST ]]>