Sammenlign metoder

	Dendrokronologi	Modellering av pedogenese
Fagfelt	Agronomi	Agronomi
Familie	Process / pipeline	Process / pipeline
Opprinnelsesår	1909	1941 (Jenny's factorial model); process-based numerical models from 1990s onward
Opphavsperson	Andrew Ellicott Douglass	Hans Jenny (foundational framework); later extended by multiple contributors including Simonson, Hoosbeek, and Bryant
Type	Archival and climate reconstruction method	Quantitative process-based simulation model
Opprinnelig kilde	Douglass, A. E. (1909). Weather records in the growth of giant sequoias. Monthly Weather Review, 37(1), 713-714.	Minasny, B., Finke, P., Stockmann, U., Vanwalleghem, T., & McBratney, A. B. (2015). Resolving the integral connection between pedogenesis and landscape evolution. Earth-Science Reviews, 150, 102–120.
Alias	Tree-ring analysis, Chronology, Paleoclimatology	soil formation modeling, soil genesis simulation, pedogenic process modeling, quantitative pedology
Relaterte	3	1
Sammendrag	Dendrochronology is the science of dating and interpreting wood and climate from tree rings. Each annual ring records the tree's growth response to weather during that year: wide rings indicate favorable conditions (adequate water, warmth, light); narrow rings indicate stress (drought, cold, shade). By crossmatching ring-width patterns across trees and backward in time using dead wood, researchers construct chronologies extending centuries to millennia, providing archives of regional precipitation, temperature, and hydroclimate independent of instrumental records.	Pedogenesis modeling is a quantitative method used in agronomy and soil science to simulate the processes by which soils form and evolve over time. Rooted in Hans Jenny's 1941 factorial framework — soil as a function of climate, organisms, relief, parent material, and time — modern approaches translate these conceptual drivers into coupled numerical process equations, allowing researchers to reconstruct past soil states and project future soil properties under changing land use or climate scenarios.