BIO 4990 biome extensive region of similar vegetation and animal life (Arctic tundra, ecosystems biogeography study of distributions of organisms, http://www.cfr.msstate.edu/courses/bio4990d/lec1.htm
Extractions: biome - extensive region of similar vegetation and animal life (Arctic tundra, tropical rainforest, temperate deciduous forest, short grass prairie) Ecology - study of pattern of relations/interactions between organisms and their environment; this includes abiotic and biotic parts of their environment covers many disciplines - geology/geography, chemistry, botany, zoology, climatology can be studied at several scales - global, landscape, community, population, individual
POWERWEB: Ecology The State of the Nations ecosystems (Cambridge University Press, 2002) wasreleased by Introduction to biogeography and Ecology, Michael J. Pidwirny, http://www.dushkin.com/catalog/0072528761.mhtml?SECTION=TOC
AUTHORIZATION CHECK To enhance the knowledge of arctic and subarctic ecosystems under varying Pollenbased biomes for Beringia 18000, 6000 and 0 14C yr BP Journal of http://www.esajournals.org/esaonline/?request=get-document&issn=0012-9658&volume
PMIP 2 BIOME4 Equilibrium Biogeography-Biogeochemistry Model BIOME4 (Kaplan et al., 2003) is a coupled biogeography and BIOME4 and earliermembers of the BIOME model family have been used previously as diagnostic http://www-lsce.cea.fr/pmip2/synth/biome4.shtml
Extractions: PMIP 2 Home Data synthesis BIOME4 (Kaplan et al., 2003) is a coupled biogeography and biogeochemistry model which simulates the equilibrium distribution of 28 major potential natural vegetation types (biomes) from latitude (for the calculation of incoming short-wave and photosynthetically active solar radiation), atmospheric CO (Click on the figure to get a bigger version) Full size image (170 Kb) pdf file (534 Kb) Model code - gzipped tar file (3.47 Mb) If you wish to use BIOME4 in asynchronously-coupled mode to simulate vegetation changes and feedback, please cite Kaplan et al. (2003) as the source of the model. Technical queries about the BIOME4 (and other models in the BIOME family) should be addressed to Colin Prentice . Development of BIOME4 was spearheaded by Jed Kaplan and funded by the Swedish Natural Science Research Council (NFR) and the Max-Planck Institute for Biogeochemistry. Braconnot, P., Joussaume, S., Marti, O., and de Noblet, N. (1999). Synergistic feedbacks from ocean and vegetation on the African monsoon response to mid-Holocene insolation. Geophysical Research Letters 26(16), 2481-2484.
Extractions: MOTIF BIOME4 (Kaplan et al., 2003) is a coupled biogeography and biogeochemistry model which simulates the equilibrium distribution of 28 major potential natural vegetation types (biomes) from latitude (for the calculation of incoming short-wave and photosynthetically active solar radiation), atmospheric CO (Click on the figure to get a bigger version) Full size image (170 Kb) pdf file (534 Kb) Model code - gzipped tar file (3.46 Mb) The input data, CLIMATE 2.2 data set, provided by Wolfgang Cramer as part of the PAIN project. If you wish to use BIOME4 in asynchronously-coupled mode to simulate vegetation changes and feedback, please cite Kaplan et al. (2003) as the source of the model. Technical queries about the BIOME4 (and other models in the BIOME family) should be addressed to Colin Prentice . Development of BIOME4 was spearheaded by Jed Kaplan and funded by the Swedish Natural Science Research Council (NFR) and the Max-Planck Institute for Biogeochemistry. Braconnot, P., Joussaume, S., Marti, O., and de Noblet, N. (1999). Synergistic feedbacks from ocean and vegetation on the African monsoon response to mid-Holocene insolation. Geophysical Research Letters 26(16), 2481-2484.
Chapter 50 ecosystem ecology landscspe ecology seascape biosphere biogeography dispersalclimate biome tropics turnover microclimate photic zone aphotic zone http://www.d.umn.edu/~arachins/GB1/chapter50.htm
SAS Ecology Students will be able to describe ecosystem dynamics, including the following.energy flow through an ecosystem (eg food web and trophic levels), http://www.starsandseas.com/SAS Ecology/Link_Ecol.htm
Extractions: e-mail Kevin C. Hartzog Student Objectives Students will be able to describe population dynamics, including the following: Students will be able to describe community dynamics, including the following: Predator-prey interactions, parasitism commensalism symbiosis affects of abiotic factors that affect community size (e.g. habitat size)
