People, businesses and economies are increasingly dependent on Cloud and internet services. At the same time, the systems on which these services are built are becoming more complex and interdependent. The cost of failure is high, but systems are too complex for human detection of problems. We review methods for online fault diagnosis, process mining and Virtual Machine Introspection. We sugges...

The increased importance of non-market values in land management planning means that fire management and planning needs to more directly and effectively incorporate them into the planning and decision-making process. This means developing better understanding of the role of non-market valuation in the context of fire effects in prevention and suppression. It also means better knowledge and syst...

Soil moisture monitoring and the characterization of the spatial and temporal variability of this hydrologic parameter at scales from small catchments to large river basins continues to receive much attention, reflecting its critical role in subsurface – land surface – atmosphere interactions and its importance to drought analysis, crop yield forecasting, irrigation planning, flood protection, ...

This paper deals with the broad subject of the estimation of losses that result from fires and the comparison of the costs of actions to prevent losses with the resultant benefits in the form of loss reduction. It discusses how to estimate fire losses and suggests a framework for comparing prevention costs and loss reduction benefits.

Limitation of disturbances, such as grazing and fire, is a key tool for nature reserve management and ecological restoration. While the role of these disturbances in shaping ecosystem structure and functioning has been intensively studied, less is known about the consequences of long-term prevention of grazing and fire. Based on a 31-year study, we show that relative biomass of the dominant gra...

An increasing number of fires are occurring with the rapid development of cities, resulting in increased risk for human beings and the environment. This study compares geographically weighted regression-based models, including geographically weighted regression (GWR) and geographically and temporally weighted regression (GTWR), which integrates spatial and temporal effects and global linear reg...

Grassland, as one of the most important ecosystems on Earth, experiences fires that affect the local ecology, economy and society. Notably, grassland fires occur frequently each year in northeastern China. Fire occurrence is a complex problem with multiple causes, such as natural factors, human activities and land use. This paper investigates the disruptive effects of grassland fire in the nort...

The increasing global concern about wildfires, mostly caused by people, has triggered the development of human-caused fire occurrence models in many countries. The premise is that better knowledge of the underlying factors is critical for many fire management purposes, such as operational decision-making in suppression and strategic prevention planning, or guidance on forest and land-use polici...

The trend in global wildfire potential under the climate change due to the greenhouse effect is investigated. Fire potential is measured by the Keetch-Byram Drought Index (KBDI), which is calculated using the observed maximum temperature and precipitation and projected changes at the end of this century (2070–2100) by general circulation models (GCMs) for present and future climate conditions, ...

In forests, termites serve as “soil engineers,” translocating mineral soil to the surface, constructing macropores to improve water infiltration, increase soil minerals and organic carbon, facilitate the growth of microbes and affect the growth of vegetation. The future productivity of a forest site therefore depends to some degree on termite activity. termites could reduce the probability of f...