2006
DOI: 10.3133/ofr20061240
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Vegetation Classification for South Florida Natural Areas

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Cited by 22 publications
(18 citation statements)
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“…Relationships between P and slough vegetation were assessed using the GIS vegetation classification scheme of Rutchey et al (2006). Sloughs were classified into four community types based on the dominant vegetation cover ( classification relied on stereoscopic analysis of 1:24 000 scale color-infrared positive transparencies (23 3 23 cm format) flown in January 2003.…”
Section: Slough Regime Shift Boundarymentioning
confidence: 99%
“…Relationships between P and slough vegetation were assessed using the GIS vegetation classification scheme of Rutchey et al (2006). Sloughs were classified into four community types based on the dominant vegetation cover ( classification relied on stereoscopic analysis of 1:24 000 scale color-infrared positive transparencies (23 3 23 cm format) flown in January 2003.…”
Section: Slough Regime Shift Boundarymentioning
confidence: 99%
“…Geographic data in the background sections were obtained from numerous sources including the Atlas of Florida Vascular Plants (Wunderlin and Hansen 2014), the Flora of the West Indies (Acevedo-Rodríguez and Strong 2014), TROPICOS (2014) and Ackerman & Collaborators (2014) for orchids. A review of major habitats for each SOMC was done and the description of habitat vegetation types follows Rutchey et al (2006), unless otherwise indicated. Conservation status includes ranking data from the IUCN Red List, NatureServe, the U.S.…”
Section: Methodsmentioning
confidence: 99%
“…IRC ranks it as critically imperiled in South Florida. Rutchey et al (2006). It occurs in low upland habitats just above typical Florida Bay saltmarsh vegetation and sometimes intergrades with low tropical hardwood hammock; it is almost certainly flooded by salt water on an infrequent basis (J.…”
Section: Conservation Statusmentioning
confidence: 99%
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“…We created a dataset that matched the calculated hydrology at the HAED point to a co-located vegetation type by using the descriptions to assign a vegetation community class to each point. Our plant community classification scheme was a modification of the Comprehensive Everglades Restoration Plan vegetation classification (Rutchey et al 2006;Gann et al 2012) Defining start-and end-points of time intervals: To determine whether using hydrologically-defined periods, rather than annual averages, improved plant community class predictions, we examined data for periods spanning Julian years and hydrologically-defined intervals (1 hydrologic interval = 1 wet season + 1 dry season). The latter began with the wet season onset of the starting year and lasted until the end of the final dry season of the defined period.…”
Section: Study Area and Data Sourcesmentioning
confidence: 99%