20170316
Author :
Kunwar K. Singh, Raechel A. Bianchetti, Gang Chen, Ross K. Meentemeyer
Kunwar K. Singh, Raechel A. Bianchetti, Gang Chen, Ross K. Meentemeyer
Year :
2017
2017
Title :
Assessing effect of dominant land-cover types and pattern on urban forest biomass estimated using LiDAR metrics
Assessing effect of dominant land-cover types and pattern on urban forest biomass estimated using LiDAR metrics
Journal :
Urban Ecosystems
Urban Ecosystems
Comment :
Accurate estimates of biomass can help improve strategies for low-carbon societies. However, litter is known about how urban land-cover and land-use impact biomass in urban forests. In this study, they examined the relationship between LiDAR-derived biomass and dominant land-cover types using field-measured estimates of aboveground forest biomass in an urbanized region of North Carolina, USA. Although three land-cover types (impervious surface, managed clearings, and farmland) exhibited a negative relationship with biomass, only impervious surface was statistically significant. Their results suggest that impervious surface impacted forest biomass estimates considerably in urbanizing landscapes with the greatest effect between 100 and 175 m from a forest stand. Overall, accurate estimates for impervious surface density and its proximity to forest in biomass models may improve urban forest biomass estimates.
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