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Full-Text Articles in Social and Behavioral Sciences
Quantitative Comparison Of Plant Community Hydrology Using Large-Extent, Long-Term Data, Daniel Gann, Jennifer H. Richards
Quantitative Comparison Of Plant Community Hydrology Using Large-Extent, Long-Term Data, Daniel Gann, Jennifer H. Richards
Daniel Gann
Large-extent vegetation datasets that co-occur with long-term hydrology data provide new ways to develop biologically meaningful hydrologic variables and to determine plant community responses to hydrology. We analyzed the suitability of different hydrological variables to predict vegetation in two water conservation areas (WCAs) in the Florida Everglades, USA, and developed metrics to define realized hydrologic optima and tolerances. Using vegetation data spatially co-located with long-term hydrological records, we evaluated seven variables describing water depth, hydroperiod length, and number of wet/dry events; each variable was tested for 2-, 4- and 10-year intervals for Julian annual averages and environmentally-defined hydrologic intervals. Maximum …
Play As The Foundation Of Human Intelligence: The Illuminating Role Of Human Brain Evolution And Development And Implications For Education And Child Development, Aaron Blaisdell
Aaron P Blaisdell