ScholarGate
Asistenti

Krahasoni metodat

Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.

Ekuacioni Alometrik i Biomases×Kampionimi në Inventarin Pyjor×
FushaPylltariPylltari
FamiljaProcess / pipelineProcess / pipeline
Viti i origjinës1990s–2010s1973
KrijuesiChave, Niklas, and forest biometriciansLoetsch, Zöhrer, and Haller
LlojiModel development and application pipelineStatistical sampling pipeline
Burimi themeluesChave, J., Andalo, C., Brown, S., et al. (2005). Tree Allometry and Improved Estimation of Carbon-Stock and Density in Tropical Forests. Oecologia, 145(1), 87–99. DOI ↗Loetsch, F., Zöhrer, F., & Haller, K. E. (1973). Forest Inventory. BLV Verlagsgesellschaft. link ↗
Emërtime të tjeraBiomass allometry, Regression-based biomass prediction, Diameter-to-biomass conversionForest stand sampling, Timber inventory sampling, Plot-based forest survey
Të lidhura44
PërmbledhjaAllometric equations predict tree above-ground or total biomass from easily measured tree dimensions—typically diameter at breast height (DBH), height, and wood density. Grounded in biological allometry (scaling laws) and codified by Chave, Niklas, and others, allometric equations are essential tools for rapid biomass assessment without tree harvesting. Used globally for carbon accounting, yield estimation, and ecosystem characterization.Forest inventory sampling is a systematic approach to estimate forest characteristics such as timber volume, species composition, and biomass by surveying a representative subset of trees rather than conducting exhaustive censuses. Developed by Loetsch and colleagues in the 1970s, the method applies statistical sampling theory to forest assessment and remains the foundation for sustainable forest management and resource monitoring worldwide.
ScholarGateSeti i të dhënave
  1. v1
  2. 4 Burimet
  3. PUBLISHED
  1. v1
  2. 4 Burimet
  3. PUBLISHED

Shko te kërkimi Shkarko diapozitivat

ScholarGateKrahasoni metodat: Allometric Biomass Equation · Forest Inventory Sampling. Marrë më 2026-06-18 nga https://scholargate.app/sq/compare