Bats Captured in Two Ponderosa Pine Habitats in North-Central Arizona

Morrell, Thomas E.; Rabe, Michael J.; Devos, James C.; Green, Heather; Miller, Carol

doi:10.2307/3672350

Cited by 14 publications

(12 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Many studies have examined bat communities throughout Arizona (Hoffmeister 1986), but only 1 examined bat species composition in a ponderosa pine-Gambel oak forest. Morrell et al (1999) found that southwestern myotis, pallid bats (Antrozous pallidus), and silver-haired (Lasionycteris noctivagans) bats were captured more often than expected in ponderosa pine-Gambel oak forests compared to ponderosa pine forests. Use of Gambel oak trees as roosts has been documented for southwestern myotis, western long-eared myotis (Myotis evotis; Rabe et al 1998), and big brown bats (Eptesicus fuscus; Lutch 1996).…”

mentioning

confidence: 80%

Selection of Gambel Oak Roosts by Southwestern Myotis in Ponderosa Pine-Dominated Forests, Northern Arizona

Bernardos

Chambers

Rabe

2004

Journal of Wildlife Management

Self Cite

View full text Add to dashboard Cite

Gambel oak (Quercus gambelii) is a valuable tree species for wildlife. In Arizona, USA, it occurs at higher elevations in association with ponderosa pine (Pinus ponderosa). Southwestern myotis (Myotis auriculus) is a bat species that has been anecdotally documented as selecting Gambel oak for maternity roost sites. During summers of 1999 and 2000, we conducted a radiotelemetry study to determine whether lactating, female southwestern myotis selected Gambel oak as maternity roosts within the ponderosa pine-Gambel oak forest in northern Arizona. We located 34 maternity roosts for southwestern myotis in Gambel oak trees (14 females) and 5 roosts in ponderosa pine snags (1 female). Maternity roosts were located in live Gambel oak trees >26-cm diameter at root collar (drc) that contained cavities. We used Akaike's Information Criterion (AIC) to evaluate 4 a priori hypotheses about southwestern Myotis maternity roost selection in northern Arizona. Our top model contained parameters for roost tree height and density of potential roost trees. Roost trees were taller than randomly selected Gambel oak trees. Forest patches immediately surrounding roost trees contained a higher density of large oak trees (drc >26 cm) than around randomly selected trees. We recommend the protection of large Gambel oak trees and encourage recruitment of large Gambel oak trees from smaller size classes to ensure that roosts remain available for southwestern myotis. JOURNAL OF WILDLIFE MANAGEMENT 68(3):595-601

show abstract

mentioning

confidence: 80%

Selection of Gambel Oak Roosts by Southwestern Myotis in Ponderosa Pine-Dominated Forests, Northern Arizona

Bernardos

Chambers

Rabe

2004

Journal of Wildlife Management

Self Cite

View full text Add to dashboard Cite

show abstract

“…However, these species may have been absent in the Gallinas due to the lack of preferred roost structures such as high cliffs, caves, large rock outcrops, and manmade structures (Findley et al, 1975). Although M. occultus has been captured in ponderosa pine forests of Arizona, this species was not captured in the San Mateo study area, likely due to the lack of large permanent bodies of water above which these species often feed (Findley et al, 1975;Lutch, 1996;Morrell et al, 1999). According to Findley et al (1975), the San Mateo Mountains are at the periphery or are outside the distributional ranges of M. auriculus, M. velifer, and Nyctinomops macrotis, species that have been captured in ponderosa pine forests of Arizona (Lutch, 1996;Morrell et al, 1999).…”

Section: Bat Community Compositionmentioning

confidence: 97%

“…Although M. occultus has been captured in ponderosa pine forests of Arizona, this species was not captured in the San Mateo study area, likely due to the lack of large permanent bodies of water above which these species often feed (Findley et al, 1975;Lutch, 1996;Morrell et al, 1999). According to Findley et al (1975), the San Mateo Mountains are at the periphery or are outside the distributional ranges of M. auriculus, M. velifer, and Nyctinomops macrotis, species that have been captured in ponderosa pine forests of Arizona (Lutch, 1996;Morrell et al, 1999). Low capture rates of T. brasiliensis in the Gallinas may be due to the absence of larger bodies of water from which this fast-flying, less maneuverable species may drink.…”

Section: Bat Community Compositionmentioning

confidence: 97%

“…Thus, M. ciliolabrum was captured infrequently in ponderosa pine forests of the San Mateos, but frequently in pinyon-juniper woodlands of the Gallinas (the second most abundant species). Similarly, few M. ciliolabrum were captured in ponderosa pine forests of Arizona (Lutch, 1996;Morrell et al, 1999;Bernardos, 2001); yet it was the most abundant species captured in grasslands of Arizona (Rabe, 1999). These data suggest that M. ciliolabrum may be more common in lower elevation habitats and less common in upper elevation habitats of New Mexico than previously expected.…”

Section: Bat Community Compositionmentioning

confidence: 97%

See 1 more Smart Citation

Use of pinyon-juniper woodlands by bats in New Mexico

Chung-MacCoubrey

2005

Forest Ecology and Management

View full text Add to dashboard Cite

“…Nevertheless, many managers would be interested in an effective landscapescale approach for detecting species occurrence. Furthermore, data on the distribution of bats enables resource managers to make informed decisions regarding forest use and land management (Morrell et al 1999, Morrell andDuff 2005). Baseline inventories are essential for biologists to monitor population trends and evaluate population responses to management activities.…”

mentioning

confidence: 99%

Predictive Occurrence Models for Bat Species in California

Duff

Morrell

2007

J Wildl Manag

Self Cite

View full text Add to dashboard Cite

The ability to accurately predict the potential occurrence of species of management concern is useful for wildlife managers, particularly for those whose management activities involve large areas where sampling is difficult due to logistical or financial constraints. During the summers of 2002 and 2003, we used mist nets to capture bats (Myotis yumanensis, M. californicus, M. evotis, M. thysanodes, Eptesicus fuscus, Lasionycteris noctivagans, Tadarida brasiliensis, Antrozous pallidus, Lasiurus borealis, and Lasiurus cinereus) in Whiskeytown National Recreation Area in north-central California, USA. We used landscape-scale variables, logistic regression, and Akaike's Information Criterion (AIC c ) to model species distributions and produce spatially discerning predictive occurrence maps. We developed a priori models that we used to determine which landscape-scale variables best discriminated between capture sites and non-capture sites. The odds of capturing a bat were 3.3 greater when total edge increased by 10,000 m, whereas for Yuma myotis (Myotis yumanensis), the odds of predicting presence were 0.2 greater when distance to lakes and ponds decreased by 2,000 m. Elevation was important in predicting the distribution of silver-haired bats (Lasionycteris noctivagans) and big brown bats (Eptesicus fuscus). Increasing elevation by 400 m decreased the odds of capturing a silver-haired bat by 0.1 and a big brown bat by 0.4. Classification accuracy for our models ranged from 80.9% for all bat species combined to 72.3% for Yuma myotis and silver-haired bats. Predictive occurrence models can be valuable to bat conservation efforts because they provide spatial data important for evaluating the effects of management activities on species distributions. (JOURNAL OF WILDLIFE MANAGEMENT 71 (3):693-700; 2007)

show abstract

Bats Captured in Two Ponderosa Pine Habitats in North-Central Arizona

Cited by 14 publications

References 8 publications

Selection of Gambel Oak Roosts by Southwestern Myotis in Ponderosa Pine-Dominated Forests, Northern Arizona

Selection of Gambel Oak Roosts by Southwestern Myotis in Ponderosa Pine-Dominated Forests, Northern Arizona

Use of pinyon-juniper woodlands by bats in New Mexico

Predictive Occurrence Models for Bat Species in California

Contact Info

Product

Resources

About