https://novaprd-lb.newcastle.edu.au/vital/access/manager/Index en-au 5 https://novaprd-lb.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://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:46588 −1) was found for habitat service (30780), nutrient cycling (12626), and gas regulation (7224.81), whereas, lower ESVs were approximated for water regulation (347.81), raw material production (777.82) and waste treatment (13.57) services. Among the nine ESs evaluated, climate regulation, gas regulation, and disturbance regulation were the most important regulating services of the SBR. The combined effects of climate change and land-use dynamics on ESs are much stringent in a vulnerable region like the SBR. Most of the regulating services were closely associated with the fluctuation of land use land cover input. Thus, land management policies and land reform strategies that will encourage the conversion of productive land, especially the highly productive mangrove forest, for the development or any other financial benefits, would disturb the ideal human-nature balance of this ecosystem. The outcomes of this study also provide an important reference to the land administrators, researchers, and decision-makers to comprehend the expected social-ecological juxtaposition in a protected natural reserve region like the Sundarbans.]]> Wed 07 Feb 2024 16:41:15 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:37375 Tue 20 Oct 2020 12:51:21 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:47971 Mon 13 Feb 2023 16:06:05 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:37959 Mon 12 Jul 2021 11:20:43 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:46093 2000) across the eastern Himalayan hilly region, which is mostly covered by dense forest and thereby highly susceptible to wildfires. Scattered patches of intense forest fires were also detected in the lower Himalayan and central Indian states. The spatial correlation between the burn indices and NPP were mainly negative (−0.01 to −0.89) for the fire-prone states as compared to the other neighbouring regions. Additionally, the linear approximation between the burn indices and NPP showed a positive relation (0.01 to 0.63), suggesting a moderate to high impact of the forest fires on the ecosystem production and terrestrial carbon emission. The present approach has the potential to quantify the loss of ecosystem productivity due to forest fires.]]> Fri 11 Nov 2022 10:52:37 AEDT ]]>