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Changes in vegetation patterns could provide sensitive indicators of both desertification and water availability.
To estimate the variability of bird diversity, changes in vegetation patterns were analysed to predict bird occurrence.
Finally, the positive and negative effects of extensification and the changes in vegetation patterns associated with it are debated.
Multivariate statistics were used to extract the main driving forces for changes in vegetation patterns out of a complex landscape ecological data set.
Temporal changes in vegetation patterns that show an increasing proportion of gymnosperms, in both wetland and dryland habitats are in agreement with the well known aridification trend in late Paleozoic tropical Pangea.
In addition to water quality drainage results in inevitable changes in vegetation patterns [ 12, 15].
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We then translated change in vegetation patterns to change in patterns of vulnerability to wildfires, smoke production, and 21 major forest pathogen and insect disturbances.
Results from both divergence dating methods implemented herein indicate that most diversification within Melanohalea occurred during the Miocene and Pliocene, and was likely the result of habitat changes due to mountain uplift, major climatic changes (aridification) and associated shifts in vegetation patterns.
Additionally, changes in alpine vegetation patterns are documented, watershed studies in which stream flow rates and temperatures are recorded frequently at fixed gauging stations, and atmospheric research in which UV-B radiation, ozone and other atmospheric gases are analyzed over time.
Potential changes in seasonal vegetation patterns should also be examined in conjunction with typical seasonal patterns of anthrax outbreaks to determine if these patterns may coincide.
Although the spatial resolution of MODIS data is not very high, it is still useful for detecting very large-scale phenomenon, such as changes in seasonal vegetation patterns.
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