Multiscale Habitat Selection by Black Pine Snakes (<i>Pituophis melanoleucus lodingi</i>) in Southern Mississippi

Baxley, Danna L.; Lipps, Gregory J.; Qualls, Carl P.

doi:10.1655/herpetologica-d-10-00029.1

Cited by 11 publications

(16 citation statements)

References 45 publications

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“…Untransformed estimates of coefficients for covariates that appeared in models with DQAIC c 2.0 appear in Table 5, and relationships between occupancy probabilities and covariates for which 95% confidence intervals did not overlap zero are graphed in Fig. 2. Mississippi (Baxley et al 2011). Cumulatively, these studies indicate that individuals may use open-canopy habitats within forests of any type.…”

Section: Resultsmentioning

confidence: 87%

“…We did not identify significant associations between occupancy and any land cover type for this species, but several habitat features (i.e., forests of multiple types and scrub/shrub) appeared in top models for P. melanoleucus at a relatively small spatial scale (Tables 4 and 5). Some of these habitat types are the same as those identified as important elsewhere (e.g., Gerald et al 2006, Baxley et al 2011. A negative but nonsignificant relationship with roads was also suggested by a top model (Table 5); radiotelemetered individuals in southwestern Georgia crossed paved and graded roads less frequently than would be expected by chance (Miller et al, in press), and snakes in the genus may be vulnerable to road mortality (e.g., Burgdorf 1997, Rudolph et al 1999) due to their large size, extensive movements, and relatively slow speed.…”

Section: Resultsmentioning

confidence: 99%

“…Selection at this spatial scale allows us to determine what habitats individual animals use while they are in a given site, but not the ultimate factors influencing why a species is present at a site. Because habitat selection may occur on a spatial scale larger than the home range (e.g., Moore and Gillingham 2006, Lagory et al 2009, Steen et al 2010a, Baxley et al 2011, it is important to consider habitat requirements on large and multiple scales. Intrinsic habitat features of a given occupied site may have less to do with occupancy than landscape-level habitat features (Buler et al 2007).…”

Section: Introductionmentioning

confidence: 99%

“…Relevant data are often collected via intensive radiotelemetry studies of a relatively small number of individuals within discrete populations, with each location treated as an independent data point (e.g., Gerald et al 2006, Halstead et al 2009, Lagory et al 2009). Euclidean distance methods also have been used to identify habitat selection in vertebrates (e.g., Steen et al 2010a, Baxley et al 2011. These methods are based on comparisons of mean distances from individuals to particular habitat types and mean distances from random points to the different habitat types (Conner and Plowman 2001).…”

Section: Introductionmentioning

confidence: 99%

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Landscape‐level influences of terrestrial snake occupancy within the southeastern United States

Steen

McClure

Brock

et al. 2012

Ecological Applications

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Habitat loss and degradation are thought to be the primary drivers of species extirpations, but for many species we have little information regarding specific habitats that influence occupancy. Snakes are of conservation concern throughout North America, but effective management and conservation are hindered by a lack of basic natural history information and the small number of large‐scale studies designed to assess general population trends. To address this information gap, we compiled detection/nondetection data for 13 large terrestrial species from 449 traps located across the southeastern United States, and we characterized the land cover surrounding each trap at multiple spatial scales (250‐, 500‐, and 1000‐m buffers). We used occupancy modeling, while accounting for heterogeneity in detection probability, to identify habitat variables that were influential in determining the presence of a particular species. We evaluated 12 competing models for each species, representing various hypotheses pertaining to important habitat features for terrestrial snakes. Overall, considerable interspecific variation existed in important habitat variables and relevant spatial scales. For example, kingsnakes (Lampropeltis getula) were negatively associated with evergreen forests, whereas Louisiana pinesnake (Pituophis ruthveni) occupancy increased with increasing coverage of this forest type. Some species were positively associated with grassland and scrub/shrub (e.g., Slowinski's cornsnake, Elaphe slowinskii) whereas others, (e.g., copperhead, Agkistrodon contortrix, and eastern diamond‐backed rattlesnake, Crotalus adamanteus) were positively associated with forested habitats. Although the species that we studied may persist in varied landscapes other than those we identified as important, our data were collected in relatively undeveloped areas. Thus, our findings may be relevant when generating conservation plans or restoration goals. Maintaining or restoring landscapes that are most consistent with the ancestral habitat preferences of terrestrial snake assemblages will require a diverse habitat matrix over large spatial scales.

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Section: Resultsmentioning

confidence: 87%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Landscape‐level influences of terrestrial snake occupancy within the southeastern United States

Steen

McClure

Brock

et al. 2012

Ecological Applications

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“…Studies on snake habitat selection are increasing due to the use of radio-tracking and mark-recapture techniques (1)(2)(3)(4)(5). Although these techniques are more commonly used in the field, other methods are employed in semi-extensive breeding for individual identification (6).…”

Section: Introductionmentioning

confidence: 99%

Microhabitat use by species of the genera Bothrops and Crotalus (Viperidae) in semi-extensive captivity

Ca¹,

Almeida-Santos²

2012

J. Venom. Anim. Toxins incl. Trop. Dis

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Many factors influence microhabitat including climate and the occurrence of predators, prey and suitable shelters. The influence of predators in a semi-extensive breeding system is minimized due to frequent monitoring of the area. This situation enables the independent analysis of such other variables as refuges and temperature. Some specimens of the Viperidae family are kept in a semi-extensive breeding system at the Butantan Institute for display and study. These animals are widely distributed in the Atlantic Forest and Cerrado, two biomes with distinct climatic characteristics. We compared the daily activity pattern and microhabitat use of the species Bothrops jararaca and Crotalus durissus terrificus. Our main questions were whether rattlesnakes and lancehead snakes respond to habitat selection differently in similar climatic conditions and if they choose similar microhabitats. Species of the genus Bothrops were frequently found under shelters regardless of the time of day. On the other hand, snakes of the genus Crotalus were frequently found sheltered during the early morning, then migrated to sunnier areas and returned to shelters in late afternoon.

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Habitat choice for narrowly distributed species: Multiple spatial scales of habitat selection for the Mangshan pit viper

Zhang

Ding

et al. 2023

Global Ecology and Conservation

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Multiscale Habitat Selection by Black Pine Snakes (Pituophis melanoleucus lodingi) in Southern Mississippi

Cited by 11 publications

References 45 publications

Landscape‐level influences of terrestrial snake occupancy within the southeastern United States

Landscape‐level influences of terrestrial snake occupancy within the southeastern United States

Microhabitat use by species of the genera Bothrops and Crotalus (Viperidae) in semi-extensive captivity

Habitat choice for narrowly distributed species: Multiple spatial scales of habitat selection for the Mangshan pit viper

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