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Parcel-level risk (PLR) describes how wildfire risk varies from home to home based on characteristics that relate to likely fire behavior, the susceptibility of homes to fire, and the ability of firefighters to safely access properties. Here, we describe the WiRē Rapid Assessment (RA), a parcel-level rapid wildfire risk assessment tool designed to evaluate PLR with a small set of measures for all homes in a community. We investigate the relationship between 2019 WiRē RA data collected in the Columbine Lake community in Grand County, Colorado, and whether assessed homes were destroyed in the 2020 East Troublesome Fire. We find that the overall parcel-level risk scores, as well as many individual attributes, relate to the chance that a home was destroyed. We also find strong evidence of risk spillovers across neighboring properties. The results demonstrate that even coarsely measured RA data capture meaningful differences in wildfire risk across a community. The findings also demonstrate the importance of accounting for multiple aspects of PLR, including both hazards and susceptibility, when assessing the risk of wildfire to homes and communities. Finally, the results underscore that relatively small actions by residents before a fire can influence wildfire outcomes.

Chongqing municipality, the main study area of this paper, is a mountainous city in Southwest China, where massive rural populations migrated to cities and towns in recent years. This study extracted abandoned farmland figure spots from farmland distribution maps of 2002 and 2011 on a 1:10,000 scale. Further, this research analyzed the spatial distribution characteristics of farmland abandonment and its influencing factors at the parcel level from 2002 to 2011. The main influencing factors of farmland abandonment include distance of a parcel to the closest settlement, difference between the parcel elevation and the average elevation of the whole village settlement, parcel slope, and parcel size. The former three factors are positively correlated with farmland abandonment rate, and parcel size is negatively correlated. That is to say that larger commuting distance, elevation difference, and parcel slope increase the abandonment probability; and a larger parcel size can reduce the risk of abandonment.