https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:36993 0.7) correlation was observed between the model and expert-derived capacity values. The outcome of this study could be an important reference to the land administrators, planners, decision makers for adopting suitable land resource management plans for sustainable uses of natural resources in coastal region.]]> Thu 30 Jul 2020 13:50:14 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:47971 Mon 13 Feb 2023 16:06:05 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37959 Mon 12 Jul 2021 11:20:43 AEST ]]> https://ogma.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 ]]>