This paper explores the application of remote sensing technologies to estimate aboveground biomass in young Pinus sylvestris (Scots Pine) stands. Conducted in the Baltic region, the study compares different remote sensing methods, including LiDAR and aerial imagery, to traditional field measurements for biomass estimation. The findings demonstrate that remote sensing is a promising tool for biomass assessment, providing accurate estimates while reducing the time and labor associated with fieldwork. The research is valuable for forest managers and ecologists seeking efficient ways to monitor forest growth and carbon sequestration in young stands.
Harnessing remote sensing for biomass estimation in young scots pine forests
External news
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The Amazon’s path from crisis to durability
Explores why Amazon biodiversity declines despite forest maps showing coverage intact—challenging conventional conservation metrics beyond deforestation and carbon alone.
Mongabay - Conservation ↗
- Oceanic regime shifts affect subarctic moth communities—impacts divide species into winners and losers Ocean regime shifts cascade inland to reshape subarctic insect communities, creating conservation winners and losers across trophic levels in a region Sweden shares with Finland. Phys.org - Ecology ↗
- Outdoor lights may keep mosquitoes biting and breeding deeper into autumn Artificial light pollution disrupts photoperiod cues that trigger mosquito dormancy, potentially extending disease vector activity and altering seasonal ecology across human-modified landscapes. Phys.org - Plants & Animals ↗
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Half of Amazon insects could face dangerous heat stress
Reveals critical thermal vulnerability gaps across 2,000+ Amazon insect species, with tropical lowland insects showing minimal adaptive capacity—directly relevant to predicting biodiversity collapse hotspots under climate warming.
ScienceDaily - Insects & Butterflies ↗
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Forests are changing fast and scientists are deeply concerned
Global forest composition is shifting toward fast-growing species at the expense of slow-growing trees that anchor ecosystem stability and carbon storage. This large-scale analysis of 31,000 species provides critical data on biodiversity loss patterns essential for understanding forest conservation priorities.
ScienceDaily - Ecology ↗