Vegetation phenology is affected by climate change and in turn feeds back on climate by affecting the annual carbon uptake by vegetation. To quantify the impact of phenology on terrestrial carbon fluxes, we calibrate a bud-burst model and embed it in the Sheffield Dynamic Global Vegetation Model (SDGVM) in order to perform carbon budget calculations. Bud-burst dates derived from the VEGETATION ...

Processes that describe the distribution of vegetation and ecosystem succession after disturbance are an important component of dynamic global vegetation models (DGVMs). The vegetation dynamics module (ORC-VD) within the process-based ecosystem model ORCHIDEE (Organizing Carbon and Hydrology in Dynamic Ecosystems) has not been updated and evaluated since many years and is known to produce unrea...

The paper proposes a novel approach to the classification of compressed videos containing dynamic textures. The term dynamic texture is usually used with reference to image sequences of various natural processes that exhibit stochastic dynamics (e.g., water, fire and windblown vegetation). Description and recognition of dynamic textures have attracted growing attention. Although one of the most...

In this paper, an extension of the discrete Radiative Energy Transfer (dRET) model to include time-variant channel effects in vegetation media at millimetre-wave frequencies is presented. The proposed model uses the dRET to estimate the signal mean level, and uses appropriate stochastic signal distributions to estimate the dynamic (time variant) radio channel effects using appropriately extract...

18.2.1 Model Development within SDGVM The primary Dynamic Global Vegetation Model (DGVM) for estimating that we are making use of for flux estimation is the Sheffield DGVM (SDGVM). This year’s major SDGVM model developments have been concerned with tracing the dynamics of individual functional type cohorts and a completely new representation of root and soil carbon dynamics. Of particular relev...

The phenology of arctic ecosystems is driven primarily by abiotic forces, with temperature acting as the main determinant of growing season onset and leaf budburst in the spring. However, while the plant species in arctic ecosystems require differing amounts of accumulated heat for leaf-out, dynamic vegetation models simulated over regional to global scales typically assume some average leaf-ou...

In recent years evidence has emerged that the amount of isoprene emitted from a leaf is affected by the CO2 growth environment. Many – though not all – laboratory experiments indicate that emissions increase significantly at below-ambient CO2 concentrations and decrease when concentrations are raised to above-ambient. A small number of process-based leaf isoprene emission models can reproduce t...