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Project

Quantifying feedbacks between forest structure, light, microclimate and carbon cycling using distributed photonic sensors

Forest are arguably the most complex ecosystem in terms of structure. Using innovative laser scanning methods and distributed fiberoptic and microclimate sensors, we will quantify light, microclimate, carbon cycling, and structure of temperate forests to build the first integrative framework to understand the impact of structural feedbacks. This will result in a step-change of our understanding of forest ecosystem functioning.

Date:1 Jan 2023 →  Today
Keywords:sensor development, microclimate, fiber sensors, vegetation modelling, carbon, forest structure, LiDAR, Climate change, photonics
Disciplines:Remote sensing, Climate change, Global ecology, Terrestrial ecology, Photonics, optoelectronics and optical communications