Structural diversity indices based on airborne LiDAR as ecological indicators for managing highly dynamic landscapes

摘要: Abstract An objective, quantifiable index of structural biodiversity that could be rapidly obtained with reduced or no field effort is essential for the use structure as universal ecological indicator ecosystem management. Active remote sensing provides a rapid assessment tool to potentially guide land managers in highly dynamic and spatially complex landscapes. These landscapes are often dependent on frequent disturbance regimes characterized by high endemism. We propose modified Shannon–Wiener Index Evenness stand complexity indices surrogates health. validated at Tall Timbers Research Station site one longest running fire ecology studies southeastern U.S. This dominated pine-grassland woodlands maintained fire. Once dominant Southeast, this woodland has been cleared agriculture converted other cover types, depends (1- 3-year return interval) low- moderate-intensity regime prevent succession mixed hardwood forests maintain understory species diversity. Structural evaluation impact multiple included height profiles derived metrics five different interval treatments; 1-year, 2-year, 3-year, frequency (a combination 2- 4-year returns), exclusion. The 3-dimensional spatial arrangement elements was used assess encroachment changes complexity. In agreement research, considered best treatment maintaining woodlands, because canopy vertical diversity were shown statistically higher excluded less frequently burned plots than 1- 2-year treatments. developed LiDAR-derived index, LHDI, an ecosystem-specific threshold target management intervention can developed, based significant shifts composition using new index. valuable biodiversity, values objective goals conservation integrity, particularly areas.