Given the complexity of vegetation dynamic patterns under global climate change, multi-scale spatiotemporal explicit models are necessary in order to account for environmental heterogeneity. However, there is no efficient time-series tool to extract, reconstruct and analyze the multi-scale vegetation dynamic patterns under global climate change. To fill this gap, a Multi-Scale Spatio-Temporal M...

This paper presents a new approach to shading realistic leaves at high frame rates. The proposed physically based translucency model allows the accurate simulation of subsurface scattering in leaves while accounting for the leaf micro-structure. This approach is based in the local frame of the leaf, so it can be instantiated to any number of leaves without needing to generate new data. Besides ...

[1] Synoptic monitoring of vegetation dynamics relies on satellite observations of the distinctive spectral contrast between red and near infrared reflectance that photosynthetically active green vegetation exhibits. It has long been recognized that the Normalized Difference Vegetation Index (NDVI) suffers a rapid decrease of sensitivity at moderate-to-high densities of photosynthetic green bio...

[1] The effect of climate change on vegetation, isoprene emissions and surface ozone levels was investigated using a global three-dimensional general circulation model coupled to a dynamic vegetation and chemistry models. Integrations for the 1990s and 2090s were performed. Isoprene emissions increased from 549 Tg yr 1 (1990s) to 736 Tg yr 1 (2090s) as a result of climate change with fixed vege...

Introduction Conclusions References

Abstract. Vegetation is an important component in global ecosystems, affecting the physical, hydrological and biogeochemical properties of land surface. Accordingly, way vegetation parameterized strongly influences predictions future climate by Earth system models. To capture spatial temporal changes cover its feedbacks to system, dynamic models (DGVMs) are included as components surface Variat...

rangelands encompass 55% of iran's territory. monitoring of such resources is inevitable due to dynamic behavior and extremely high extension. scanning of land resources data by satellites facilitates monitoring the rangelands. this research was carried out to study the relationships of vegetation indices derived from irs liss-iii data with vegetation cover of tange sayyad region in the ch...

We developed a new climate-sensitive vegetation state-and-transition simulation model (CV-STSM) to simulate future vegetation at a fine spatial grain commensurate with the scales of human land-use decisions, and under the joint influences of changing climate, site productivity, and disturbance. CV-STSM integrates outputs from four different modeling systems. Successional changes in tree species...

To recognize the dynamic of vegetation in eastern Iran as well as to ascertain interactions of human societies with theirenvironment, the present study is carried out on charcoal samples collected from Shahr-i Sokhta dated back to the Bronze Age.This research will present two different vegetal formations used by the inhabitants of Shahr-i Sokhta: riparian formationwith species such as tamarisk ...