HR: 1330h
AN: NB33Q-18    [Abstracts]
TI: HABSEED: a Simple Spatially Explicit Meta-Populations Model Using Remote Sensing Derived Habitat Quality Data
AU: * Heumann, B W
EM: benjamin.heumann@mail.mcgill.ca
AF: Dept. of Geography and Global Environmental and Climate Change Centre, McGill University, 805 Sherbrooke W. Burnside Hall Room 705, Montreal, QC H3A 2K6 Canada
AU: Guichard, F
EM: frederic.guichard@mcgill.ca
AF: Dept. of Biology, McGill University, 1205 Docteur Penfield Stewart Biology Building, Montreal, QC H3A 1B1 Canada
AU: Seaquist, J W
EM: jonathan.seaquist@mcgill.ca
AF: Dept. of Geography and Global Environmental and Climate Change Centre, McGill University, 805 Sherbrooke W. Burnside Hall Room 705, Montreal, QC H3A 2K6 Canada
AB: The HABSEED model uses remote sensing derived NPP as a surrogate for habitat quality as the driving mechanism for population growth and local seed dispersal. The model has been applied to the Sahel region of Africa. Results show that the functional response of plants to habitat quality alters population distribution. Plants more tolerant of medium quality habitat have greater distributions to the North while plants requiring only the best habitat are limited to the South. For all functional response types, increased seed production results in diminishing returns. Functional response types have been related to life history tradeoffs and r-K strategies based on the results. Results are compared to remote sensing derived vegetation land cover.
DE: 0930 Oceanic structures
DE: 1640 Remote sensing
DE: 1851 Plant ecology
SC: North American Benthological Society [NB]
MN: 2005 Joint Assembly