29.10.2012 Views

Proceedings of the fifth mountain lion workshop: 27

Proceedings of the fifth mountain lion workshop: 27

Proceedings of the fifth mountain lion workshop: 27

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

PROCEEDINGS OF THE FIFTH MOUNTAIN LION WORKSHOP 63<br />

1984) to address whe<strong>the</strong>r available morphometric data<br />

supported a taxonomic distinction for this population, and to<br />

assess <strong>the</strong> accuracy <strong>of</strong> Merriam's original claim that P. c.<br />

browni could be distinguished from conspecifics on <strong>the</strong> basis<br />

<strong>of</strong> tooth size.<br />

RESULTS AND DISCUSSION<br />

For clarity, we will consider <strong>the</strong> 3 lines <strong>of</strong> evidence<br />

(ecology, morphology, genetics) separately for <strong>the</strong> Yuma<br />

<strong>mountain</strong> <strong>lion</strong>, and <strong>the</strong>n provide a conclusion syn<strong>the</strong>sizing all<br />

3 sources <strong>of</strong> information.<br />

Ecology<br />

We located 6 published range maps for this subspecies<br />

(McIvor et al. 1995); no consensus exists regarding <strong>the</strong><br />

probable range <strong>of</strong> P. c. browni. Only <strong>the</strong> maps <strong>of</strong> Hall (1991)<br />

and Young and Goldman (1946) appeared to coincide, and Hall<br />

(1981) cited Young and Goldman (1946) as his source <strong>of</strong><br />

information for P. concolor. We found that none <strong>of</strong> <strong>the</strong> authors<br />

satisfactorily explained <strong>the</strong> derivation <strong>of</strong> <strong>the</strong>ir maps, thus <strong>the</strong>re<br />

was little basis for choosing one over ano<strong>the</strong>r. We elected to<br />

use Duke et al.'s (1987) map because it encompasses <strong>the</strong> largest<br />

geographic area, and thus represents <strong>the</strong> most parsimonious<br />

approach to conserving biological diversity.<br />

Personal interviews and requests for information, as<br />

well as our review <strong>of</strong> <strong>the</strong> literature, produced <strong>27</strong>2 sighting<br />

reports <strong>of</strong> <strong>mountain</strong> <strong>lion</strong>s within P. c. browni's published range.<br />

Of <strong>the</strong>se reports 142 could not be confirmed, 17 were reports<br />

<strong>of</strong> specimens, and <strong>the</strong> remaining 113 reports were categorized<br />

as confirmed (McIvor et al. 1994). The densest grouping<br />

(43.8%) <strong>of</strong> sighting accounts occurred in <strong>the</strong> vicinity <strong>of</strong> Ajo<br />

and Organ Pipe National Monument (OPNM), Arizona. This<br />

clustering is an artifact <strong>of</strong> OPNM's systematic record keeping,<br />

<strong>the</strong> efforts <strong>of</strong> B. Broyles (pers. commun) to collect sighting<br />

accounts in <strong>the</strong> area <strong>of</strong> Cabeza Prieta National Wildlife Refuge,<br />

and <strong>the</strong> movement <strong>of</strong> <strong>mountain</strong> <strong>lion</strong>s in <strong>the</strong> Ajo and Sauceda<br />

Ranges outside <strong>the</strong> eastern boundary <strong>of</strong> P. c. browni's range.<br />

The remaining accounts were scattered fairly uniformly across<br />

<strong>the</strong> range described by Duke et al. (1987).<br />

Interpretation <strong>of</strong> sighting reports and <strong>the</strong>ir implications<br />

is problematic (Van Dyke and Brocke 1987). Mountain <strong>lion</strong>s<br />

appear to be seen with modest frequency throughout <strong>the</strong> study<br />

area, however, <strong>the</strong> frequency <strong>of</strong> sightings decreases as <strong>the</strong> core<br />

range (<strong>the</strong> area around Yuma) is approached. The distribution<br />

<strong>of</strong> sightings, particularly near OPNM, and <strong>the</strong> home range data<br />

collected by Peirce and Cashman (1993), indicate that <strong>the</strong> range<br />

boundaries delineated for P. c. browni have no biological<br />

relevance, and in many areas do not correspond to any isolating<br />

geographic barriers.<br />

Merriam (1903), based on his perception that <strong>the</strong> teeth<br />

<strong>of</strong> P. c. browni are smaller than those <strong>of</strong> conspecifics,<br />

hypo<strong>the</strong>sized that <strong>the</strong> Yuma <strong>mountain</strong> <strong>lion</strong> subsisted on smaller<br />

prey than o<strong>the</strong>r subspecies. The larger body <strong>of</strong> literature<br />

documenting <strong>the</strong> importance <strong>of</strong> deer in <strong>the</strong> diet suggests that<br />

<strong>mountain</strong> <strong>lion</strong>s in North America are dependant on some form<br />

<strong>of</strong> large prey for long-term population maintenance (Anderson<br />

1983, Shaw et al. 1988). A study conducted on <strong>the</strong> eastern<br />

boundary <strong>of</strong> P. c. browni range also found deer to be <strong>the</strong> most<br />

frequently occurring prey item in <strong>mountain</strong> <strong>lion</strong> diets<br />

(Cashman et al. 1992). Finally, <strong>the</strong> food requirements <strong>of</strong><br />

females with young (Ackerman 1982, Weaver 1982,<br />

Ackerman et al. 1986) suggests breeding populations <strong>of</strong><br />

<strong>mountain</strong> <strong>lion</strong>s may not be able to exist in <strong>the</strong> absence <strong>of</strong> large<br />

prey (Ackerman et al. 1984).<br />

Morphometry<br />

We located 17 specimens (10 M, 4 F, 3 unknown).<br />

Nine were <strong>of</strong>ficially cataloged in museums and 6 specimens<br />

were held in private collections (McIvor et al. 1994). Contact<br />

with museums revealed an additional animal collected from<br />

<strong>the</strong> Hualapai Mountains <strong>of</strong> Arizona, as well as a specimen<br />

collected on <strong>the</strong> K<strong>of</strong>a National Wildlife Refuge in 1944<br />

(Halloran 1946), that had not been cataloged as specimens <strong>of</strong><br />

this subspecies.<br />

Partly because opinion varies between researchers<br />

regarding <strong>the</strong> important characters to measure, complete data<br />

for all skulls were not available from <strong>the</strong> literature (Table 1).<br />

Some skulls were incomplete, usually because <strong>of</strong> damage<br />

inflicted during collection, and dynamic terminology also<br />

contributed ambiguity to some measurements (e.g., "braincase<br />

height" and "greatest depth" were used interchangeably).<br />

Early analysis <strong>of</strong> <strong>mountain</strong> <strong>lion</strong> skulls and variation<br />

in pelage were based on subjective criteria. Powerful<br />

statistical tools are a relatively recent development unavailable<br />

to early taxonomists. CVA generates n-1 uncorrelated linear<br />

combinations <strong>of</strong> variables that maximize separation among a<br />

priori designated groupings (Bookstein et al. 1985). These<br />

variates, which are linear combinations <strong>of</strong> <strong>the</strong> original<br />

variables, provide a useful framework for displaying <strong>the</strong><br />

magnitude <strong>of</strong> <strong>the</strong> interrelationship between <strong>the</strong> populations,<br />

and can be plotted and studied on a two dimensional graph<br />

(Reyment et al. 1984). Fur<strong>the</strong>rmore, each component (i.e.,<br />

original variable) is assessed for its contribution to <strong>the</strong><br />

separation between populations. CVA has <strong>the</strong> advantages <strong>of</strong><br />

being easy to interpret, and only one statistical test is<br />

conducted, avoiding <strong>the</strong> ambiguities associated with a multiple<br />

test approach and protected alpha levels. However, CVA is<br />

highly sensitive to heterscedasticity, and to sparse data; a<br />

single missing variable results in <strong>the</strong> loss

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!