Red-cockaded woodpecker (Photo Credit: USFWS) |
RCWs
roost and nest in excavated cavities of living pine trees which are arranged in
small clusters, with one bird per cavity. Thus they have a “home” cluster to which they
return each night after spending the day foraging and that they fiercely defend
from adjacent RCW families. Their
foraging efforts are most efficient if they utilize habitat within a specific
radius of their home cluster. The RCW
foraging matrix is used to quantitatively score the habitat within such a
radius of a cluster. The analysis is
based on the assumption that RCW families will primarily forage within this area.
Array of cluster locations and circular buffer with overlaid land use data (Photo Credit: USFWS) |
Concentric rings of varying radii from
an RCW cluster are analyzed for suitability.
Forestry and land use data (dominant tree type, stand density, extent of
undergrowth, etc.) collected in the field can be overlaid to these circles and
the total area of “good-quality foraging habitat” can be determined. The matrix computes a score of suitable
foraging habitat within each concentric ring, giving higher priority to those
circles with smaller radii (i.e. closer to the cluster core) so that land
managers may alter silviculture or fire practices to produce more and better
foraging habitat. Thus an adaptive
management strategy is applied using the output scores of the matrix. The parameters as to what qualifies as “good-quality
foraging habitat” is constantly changing with new and better information from
applied ecological research.
Currently, the foraging matrix is
an application published and updated by USFWS for intra- and extra-agency
usage. GIS specialists at wildlife refuges or the like may use this
application by simply providing the given input data.
The article linked here is a master’s thesis that evaluates
several clusters using the RCW foraging matrix. http://search.proquest.com/docview/89111636/previewPDF?accountid=14787
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