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Aplomado Falcon Habitat Modeling in the Northern
Chihuahuan Desert
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| Investigators |
Links for Additional Information |
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Kendal E. Young,
NMCFWRU,
NMSU |
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Bruce C. Thompson,
NMCFWRU; Presently with NMDGF |
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Raul Valdez,
Department of Fishery and Wildlife Science, NMSU |
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Alberto Lafon,
Facultad de Zootecnia, Universidad Autónoma de Chihuahua |
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William Gould,
University Statistics Center, NMSU |
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Dawn Browning,
NMSU; Presently with University of Arizona |
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Quinn Hodgson,
NMSU; Presently with the Bureau of Land Management |
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Julie Lanser,
NMSU; Presently with Point Reyes Bird Observatory |
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Peregrine Fund
Aplomado Work
Coop
Unit Home Page
NMSU
Wildlife Department Home
2002 Model
2005 Model
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About the Project:
In the United States (U.S.), aplomado falcons (Falco femoralis)
historically occurred in southern Texas, southern New Mexico, and
southeastern Arizona. Although aplomado falcons were once considered fairly
common throughout their U.S. range, populations apparently declined rapidly
after the 1930s. When the aplomado falcon was federally listed as endangered
in 1986, concern for recovery of the species increased. Starting in the
early 1990s, increases in reliable falcon sightings prompted additional
interest in recovery of the species in New Mexico.
In 1998, we started this research in the
northern Chihuahuan Desert to provide a better understanding of aplomado
falcon natural history, and to predict areas of potential habitat in
southern New Mexico, western Texas, and northern Chihuahua.
We surveyed for aplomado falcons and other raptorial birds in northern
Chihuahua during 1998-1999. From 1999-2000, we
characterized falcon habitats at 3 spatial scales: community,
microhabitat, and nest. Data was collected at falcon nest and
detection sites, and random sites in northern Chihuahua.
From 2000-2002, we developed a spectrally-driven
predictive habitat model for the northern Chihuahuan Desert.
This model was based on the spatial configuration (how land cover
types were arranged) and composition (which land cover types were present)
of the landscape around falcon use sites in northern
Chihuahua.
A variety
of statistical analyses of remotely sensed data around falcon sites
were conducted. Five statistical significant input
layers were chosen for the predictive model. Each input layer was
converted to a binary layer that was summed to produce a predictive
habitat model that ranges in suitability values
from 0-5. The final model indicated areas of similar spectral
characteristics in the northern Chihuahuan Desert
as observed at falcon sites in northern Chihuahua.
Starting in
2003, we
conducted research to evaluate the components of the
predictive habitat model. Our approach was to dissect
the predictive model into the 32 model input layer
combinations and investigate how the model components might interact to
describe falcon habitat.
Results from this research have
been summarized in 2 final reports:
To view Executive Summaries of
each report, and to download pdf's of the reports, click on the link above.
Manuscripts produced from this research:
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Desmond, M.J., K.E. Young, B.C. Thompson, R.Valdez, and A.
Lafon Terrazas. 2005. Habitat associations and
conservation of grassland birds in the
Chihuahuan Desert Region: two case studies in
Chihuahua, Mexico. In J.L.E. Cartron, G.
Ceballos, and R.S. Felger, eds. Biodiversity,
ecosystems, and conservation in northern Mexico.
Oxford University Press, New York, New
York
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Young, K. E., B. C. Thompson, A. Lafón
Terrazas, A. B. Montoya, and R. Valdez.
2004. Aplomado falcon abundance and distribution
in the northern Chihuahuan Desert of Mexico.
Journal of Raptor Research 38:107-117.
Manuscripts in Progress:
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Selection of Analytical window size for wildlife
habitat studies using landscape metrics: an ecological perspective.
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Habitat Characteristics of
Northern Aplomado Falcons in the Northern Chihuahuan Desert
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Rangeland
Management at Aplomado Falcon sites in Northern Chihuahua, Mexico
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Spectrally-Driven Aplomado Falcon Predictive Habitat Model
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Assessment
of Aplomado Falcon Habitat in the Absence of Falcons
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For more
information
email Kendal Young |
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