Dataset Identification:
Resource Abstract:
- description: Quivira National Wildlife Refuge was established in 1955, and a detailed vegetation map was not available for
management purposes. With the present development of a biological program and Comprehensive Conservation Plan (CCP), a baseline
vegetation map of the refuge was identified as a necessity. Development of the vegetation map and associated report was a
multi-step process. Aerial photography (NAIP, 2008) was used with eCognition to create polygons of different plant communities
based on the likeness of surrounding pixels in the area. Prior to ground-truthing, the following activities were accomplished:
training on vegetation mapping using GIS (previous experience and National Conservation Training Center course), creation
of an vegetation association and alliance dichotomous key, development of a refuge plant key and identification skills, and
preparation of maps for ground truthing. Once out in the field dominant plants were identified for appropriate vegetation
alliance and association classification, plant specimens were collected for the refuge herbarium as necessary and additional
observations and photos were gathered for the report. Over the course of the project, classification data was entered into
a GIS and polygons were appropriately modified to create the final map. At Quivira, results found a total of 42 alliances
and 43 associations.The most dominant plants throughout the refuge in 2008 based on canopy cover were saltgrass, plum, little
bluestem and cottonwood. The number of alliances and associations found on the refuge show high species diversity.; abstract:
Quivira National Wildlife Refuge was established in 1955, and a detailed vegetation map was not available for management purposes.
With the present development of a biological program and Comprehensive Conservation Plan (CCP), a baseline vegetation map
of the refuge was identified as a necessity. Development of the vegetation map and associated report was a multi-step process.
Aerial photography (NAIP, 2008) was used with eCognition to create polygons of different plant communities based on the likeness
of surrounding pixels in the area. Prior to ground-truthing, the following activities were accomplished: training on vegetation
mapping using GIS (previous experience and National Conservation Training Center course), creation of an vegetation association
and alliance dichotomous key, development of a refuge plant key and identification skills, and preparation of maps for ground
truthing. Once out in the field dominant plants were identified for appropriate vegetation alliance and association classification,
plant specimens were collected for the refuge herbarium as necessary and additional observations and photos were gathered
for the report. Over the course of the project, classification data was entered into a GIS and polygons were appropriately
modified to create the final map. At Quivira, results found a total of 42 alliances and 43 associations.The most dominant
plants throughout the refuge in 2008 based on canopy cover were saltgrass, plum, little bluestem and cottonwood. The number
of alliances and associations found on the refuge show high species diversity.
Citation
- Title Quivira National Wildlife Refuge vegetation mapping project 2010-2011.
-
- creation Date
2018-05-20T20:11:43.010396
Resource language:
Processing environment:
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Metadata data stamp:
2018-08-06T23:16:36Z
Resource Maintenance Information
- maintenance or update frequency:
- notes: This metadata record was generated by an xslt transformation from a dc metadata record; Transform by Stephen M. Richard, based
on a transform by Damian Ulbricht. Run on 2018-08-06T23:16:36Z
Metadata contact
-
pointOfContact
- organisation Name
CINERGI Metadata catalog
-
- Contact information
-
-
- Address
-
- electronic Mail Address cinergi@sdsc.edu
Metadata language
eng
Metadata character set encoding:
utf8
Metadata standard for this record:
ISO 19139 Geographic Information - Metadata - Implementation Specification
standard version:
2007
Metadata record identifier:
urn:dciso:metadataabout:d5c0dd5a-a393-42df-9968-f4e9adccd058
Metadata record format is ISO19139 XML (MD_Metadata)