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Full-Text Articles in Physical Sciences and Mathematics
Competition And Burn Severity Determine Post-Fire Sapling Recovery In A Nationally Protected Boreal Forest Of China: An Analysis From Very High-Resolution Satellite Imagery, Lei Fang, Ellen V. Crocker, Jian Yang, Yan Yan, Yuanzheng Yang, Zhihua Liu
Competition And Burn Severity Determine Post-Fire Sapling Recovery In A Nationally Protected Boreal Forest Of China: An Analysis From Very High-Resolution Satellite Imagery, Lei Fang, Ellen V. Crocker, Jian Yang, Yan Yan, Yuanzheng Yang, Zhihua Liu
Forestry and Natural Resources Faculty Publications
Anticipating how boreal forest landscapes will change in response to changing fire regime requires disentangling the effects of various spatial controls on the recovery process of tree saplings. Spatially explicit monitoring of post-fire vegetation recovery through moderate resolution Landsat imagery is a popular technique but is filled with ambiguous information due to mixed pixel effects. On the other hand, very-high resolution (VHR) satellite imagery accurately measures crown size of tree saplings but has gained little attention and its utility for estimating leaf area index (LAI, m2/m2) and tree sapling abundance (TSA, seedlings/ha) in post-fire landscape remains …
Does Environment Filtering Or Seed Limitation Determine Post-Fire Forest Recovery Patterns In Boreal Larch Forests?, Wen H. Cai, Zhihua Liu, Yuan Z. Yang, Jian Yang
Does Environment Filtering Or Seed Limitation Determine Post-Fire Forest Recovery Patterns In Boreal Larch Forests?, Wen H. Cai, Zhihua Liu, Yuan Z. Yang, Jian Yang
Forestry and Natural Resources Faculty Publications
Wildfire is a primary natural disturbance in boreal forests, and post-fire vegetation recovery rate influences carbon, water, and energy exchange between the land and atmosphere in the region. Seed availability and environmental filtering are two important determinants in regulating post-fire vegetation recovery in boreal forests. Quantifying how these determinants change over time is helpful for understanding post-fire forest successional trajectory. Time series of remote sensing data offer considerable potential in monitoring the trajectory of post-fire vegetation recovery dynamics beyond current field surveys about structural attributes, which generally lack a temporal perspective across large burned areas. We used a time series …