Thu, 21 Aug 2008 05:33:55 BST CiteULike: neteler's Tucker http://www.citeulike.org/user/neteler/author/Tucker CiteULike.org en-gb Copyright © 2004-2008 citeulike.org http://www.citeulike.org/user/neteler/article/312228 <i>Trends in Ecology & Evolution, Vol. 20, No. 9. (September 2005), pp. 503-510.</i><br /><br />Assessing how environmental changes affect the distribution and dynamics of vegetation and animal populations is becoming increasingly important for terrestrial ecologists to enable better predictions of the effects of global warming, biodiversity reduction or habitat degradation. The ability to predict ecological responses has often been hampered by our rather limited understanding of trophic interactions. Indeed, it has proven difficult to discern direct and indirect effects of environmental change on animal populations owing to limited information about vegetation at large temporal and spatial scales. The rapidly increasing use of the Normalized Difference Vegetation Index (NDVI) in ecological studies has recently changed this situation. Here, we review the use of the NDVI in recent ecological studies and outline its possible key role in future research of environmental change in an ecosystem context. Using the satellite-derived NDVI to assess ecological responses to environmental change Nathalie Pettorelli Jon Vik Atle Mysterud Jean-Michel Gaillard Compton Tucker Nils Stenseth doi:10.1016/j.tree.2005.05.011 Trends in Ecology & Evolution, Vol. 20, No. 9. (September 2005), pp. 503-510. 2005-09-06T15:02:28-00:00 2005 Trends in Ecology & Evolution 20 9 503 510 ecology ndvi remote-sensing vegetation http://www.citeulike.org/user/neteler/article/270750 <i>Ann Trop Med Parasitol, Vol. 90, No. 1. (February 1996), pp. 1-19.</i><br /><br />This paper gives an overview of how certain meteorological data used in studies of the population dynamics of arthropod vectors of disease may be predicted using remotely sensed, satellite data. Details are given of the stages of processing necessary to convert digital data arising from satellite sensors into ecologically meaningful information. Potential sources of error in these processing steps are also highlighted. Relationships between ground-measured meteorological variables (saturation deficit, ground temperature and rainfall) and data from both the National Oceanic and Atmospheric Administration's, polar-orbiting, meteorological satellites and the geostationary, Meteosat satellite are defined and examples detailed for Africa. Finally, the current status of existing satellite platforms and future satellite missions are reviewed and potential data availability discussed. How such satellite-based predictions have proved valuable in understanding the distribution of tsetse fly species in Côte d'Ivoire and Burkina Faso will be the subject of a future review. Remotely sensed surrogates of meteorological data for the study of the distribution and abundance of arthropod vectors of disease. SI Hay CJ Tucker DJ Rogers MJ Packer Ann Trop Med Parasitol, Vol. 90, No. 1. (February 1996), pp. 1-19. 2005-08-01T12:13:20-00:00 1996 Ann Trop Med Parasitol 0003-4983 90 1 1 19 arthropod-vectors disease meteorology remote-sensing