Climatic variability and vegetation vulnerability in Amazônia

Climatic variability and vegetation vulnerability in Amazônia

[1] Models of climate change predict close coupling between increases in aridity and conversion of Amazonian forests to savanna. Here we assess the vulnerability and resilience of Amazonian vegetation to climate change by analyzing observed climate-vegetation relationships using climate data, observed vegetation distributions, and evapotranspiration rates inferred from eddy flux data. We found ...

Groundwater Vulnerability in Different Climatic Zones

A continental phenology model for monitoring vegetation responses to interannual climatic variability

Regional phenology is important in ecosystem simulation models and coupled biosphere/atmosphere models. In the continental United States, the timing of the onset of greenness in the spring (leaf expansion, grass green-up) and offset of greenness in the fall (leaf abscission, cessation of height growth, grass brown-oft) are strongly influenced by meteorological and climatological conditions. We ...

Vegetation dynamics--simulating responses to climatic change.

A modelling approach to simulating vegetation dynamics is described, incorporating critical processes of carbon sequestration, growth, mortality and distribution. The model has been developed to investigate the responses of vegetation to environmental change, at time scales from days to centuries and from the local to the global scale. The model is outlined and subsequent tests, against indepen...

Impacts of projected changes and variability in climatic data on major food crops yields in Rwanda

This paper investigated the response of major food crop yields namely beans,cassava, Irish potatoes, maize and sweet potatoes to ongoing changes in climate inRwanda. The projected daily precipitation and temperature data for the period2000-2050 used in this study were generated by stochastic weather generator(LARS-WG) from daily raw data for the period 1961 -2000. These data werecollected from ...