Roost tree selection by northern long-eared bat (Myotis septentrionalis) maternity colonies in an industrial forest of the central Appalachian mountains

Menzel, Michael; Owen, Sheldon F.; Ford, W. Mark; Edwards, John W.; Wood, Petra Bohall; Chapman, Brian R.; Miller, Karl V.

doi:10.1016/s0378-1127(01)00551-5

Cited by 71 publications

(81 citation statements)

References 20 publications

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“…Scott et al (1977) reported that snags provide essential habitat for 85 North American bird species that excavate cavities, use natural cavities, or use cavities excavated by other species. Bats roost in tree cavities and under exfoliating bark of snags (Menzel et al 2002). In Missouri, more than 89 wildlife species require cavity trees or snags (Titus 1983).…”

Section: Introductionmentioning

confidence: 99%

Distribution of cavity trees in midwestern old-growth and second-growth forests

Fan¹,

Shifley²,

Spetich³

et al. 2003

Can. J. For. Res.

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Abstract:We used classification and regression tree analysis to determine the primary variables associated with the occurrence of cavity trees and the hierarchical structure among those variables. We applied that information to develop logistic models predicting cavity tree probability as a function of diameter, species group, and decay class. Inventories of cavity abundance in old-growth hardwood forests in Missouri, Illinois, and Indiana found that 8-11% of snags had at least one visible cavity (as visually detected from the ground; smallest opening ≥2 cm diameter), about twice the percentage for live trees. Five percent of live trees and snags had cavities on mature (≥110 years) second-growth plots on timberland in Missouri. Because snags accounted for typically no more than 10% of standing trees on any of these sites, 80-85% of cavity trees are living trees. Within the subset of mature and old-growth forests, the presence of cavities was strongly related to tree diameter. Classification and regression tree models indicated that 30 cm diameter at breast height (DBH) was a threshold size useful in distinguishing cavity trees from noncavity trees in the old-growth sample. There were two diameter thresholds in the mature second-growth sample: 18 and 44 cm DBH. Cavity tree probability differed by species group and increased with increasing decay class.Résumé : Nous avons utilisé la classification et l'analyse d'arbres de régression pour identifier les principales variables associées à l'occurrence d'arbres à cavité et la structure hiérarchique entre ces variables. Nous avons utilisé cette information pour développer des modèles de régression logistique visant à prédire la présence de cavités en fonction du diamètre, du groupe d'essences et de la classe de carie de l'arbre. Des inventaires d'abondance de cavités dans des forêts anciennes de feuillus au Missouri, en Illinois et en Indiana ont montré que 8-11 % des chicots ont au moins une cavité visible (détectée par examen visuel à partir du sol; diamètre de la plus petite ouverture ≥2 cm), soit le double du pourcentage correspondant pour les arbres vivants. Cinq pourcent des arbres vivants et des chicots avaient des cavités dans des placettes en forêt de seconde venue mature (≥110 ans) dans les régions boisées au Missouri. Étant donné que les chicots ne comptent typiquement pas pour plus de 10 % des arbres sur pied à chacun de ces sites, 80-85 % des arbres à cavités sont donc des arbres vivants. Si on prend en compte seulement les forêts matures et les forêts anciennes, la présence de cavités est fortement reliée au diamètre de l'arbre. Les modèles de classification et d'arbres de régression indiquent qu'un diamètre à hauteur de poitrine (DHP) de 30 cm constitue une taille seuil pour distinguer les arbres avec cavités de ceux sans cavités dans les forêts anciennes. Dans les forêts de seconde venue, il y a deux seuils : 18 et 44 cm DHP. La probabilité qu'un arbre ait une cavité varie selon les groupes d'essences et augmente avec la classe de carie.[Traduit par la ...

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Section: Introductionmentioning

confidence: 99%

Distribution of cavity trees in midwestern old-growth and second-growth forests

Fan¹,

Shifley²,

Spetich³

et al. 2003

Can. J. For. Res.

View full text Add to dashboard Cite

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“…Bats are heterothermic and in cool northern ecosystems, they may choose roost sites that confer thermal advantages, such as snags that receive more insolation than others (Brigham et al, 1997;Ormsbee and McComb, 1998;Menzel et al, 2002). Bats could also prefer roost sites located in areas with minimal clutter, which would enable easy access.…”

Section: Introductionmentioning

confidence: 99%

Roost site selection by forest-dwelling male Myotis in central Ontario, Canada

Jung

Thompson

Titman

2004

Forest Ecology and Management

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“…As an example, DFA was used to identify characteristics of preferred roost habitats for northern long-eared bats (Myotis septentrionalis) by Menzel et al (2002). The researchers located 12 roost trees by following 7 radio-tagged lactating bats.…”

Section: Modeling the Relationship Between Habitat And Speciesmentioning

confidence: 99%

“…Stepwise DFA was used to determine which of the 24 variables discriminated among roost and random sites. They identified three variables (i.e., roost height, roost diameter and basal area of nearby snags) that differed among roost and random sites and could be used in future predictive models (Menzel et al 2002).…”

Section: Modeling the Relationship Between Habitat And Speciesmentioning

confidence: 99%

“…It is not required that the number of sampling entities in each group be the same, but, generally, the greater the disparity in group sample sizes, the lower the effectiveness of the DFA in distinguishing among groups. Each data set needs to have at least two sampling locations per group and at least two more sampling locations than the number of discriminating variables (note that this last requirement was violated by Menzel et al 2002). For more details on choice and application of discriminant analysis, see McGarigal et al (2000).…”

Section: Modeling the Relationship Between Habitat And Speciesmentioning

confidence: 99%

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Guidelines for Developing Habitat-Based Threatened and Endangered Species Population Goals on Army Installations

Shapiro¹,

Hohmann²

2005

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ABSTRACT:This document provides an overview of species-habitat modeling approaches, including recent recommendations and criticisms of model shortcomings. Rather than provide an exhaustive treatment of species-habitat modeling, this report provides enough information that an installation could hire or supervise an expert to conduct appropriate modeling, and anticipate and avoid common pitfalls and errors associated with current approaches. The overview is based on a hierarchical structure for organizing species-habitat modeling approaches. Modeling approaches are grouped into three classes, based on data requirements, effort, expense, technical difficulty, application uses, and output characteristics.

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Roost tree selection by northern long-eared bat (Myotis septentrionalis) maternity colonies in an industrial forest of the central Appalachian mountains

Cited by 71 publications

References 20 publications

Distribution of cavity trees in midwestern old-growth and second-growth forests

Distribution of cavity trees in midwestern old-growth and second-growth forests

Roost site selection by forest-dwelling male Myotis in central Ontario, Canada

Guidelines for Developing Habitat-Based Threatened and Endangered Species Population Goals on Army Installations

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