e-obs Stories & Publications

@article{ulrey_use_2025,

title = {Use of LiDAR to examine habitat selection by incubating female wild turkeys in South Carolina},

author = {Erin E. Ulrey and Nicholas W. Bakner and James E. Garabedian and John C. Kilgo and Bret A. Collier and Michael J. Chamberlain},

url = {https://wildlife.onlinelibrary.wiley.com/doi/10.1002/wsb.1628},

doi = {10.1002/wsb.1628},

issn = {2328-5540, 2328-5540},

year  = {2025},

date = {2025-12-01},

urldate = {2025-12-17},

journal = {Wildlife Society Bulletin},

volume = {49},

number = {S1},

pages = {e1628},

abstract = {Abstract 

 Avian reproductive activities are energetically demanding, leading to periods of heightened risk and reduced energy acquisition. Behavioral decisions by females in response to their physiological requirements are particularly important during nesting, as the availability and distribution of resources around nest sites can affect fitness of incubating females. We evaluated how spatially explicit LiDAR‐derived estimates of forest structure and topographical features influenced habitat selection by female eastern wild turkeys ( 

 Meleagris gallopavo silvestris 

 ) during the incubation period. We analyzed spatial data from 83 nesting attempts at the Savannah River Site in South Carolina, USA, during 2021\textendash2022. Female wild turkeys selected for incubation recess locations in pine ( 

 Pinus 

 spp.) forests with an average basal area of textasciitilde14 m 

 2 

 /ha and density of 335 trees/ha. Selection probability was positively associated with south‐ and west‐facing aspects. Our findings highlight the importance of mature pine forests with understories that enhance foraging opportunities as key factors influencing incubation behaviors in female eastern wild turkeys.},

keywords = {behavior, bird, incubation, LiDAR, Meleagris gallopavo silvestris, recess movement, resource selection function, Wild Turkey},

pubstate = {published},

tppubtype = {article}

}

@article{conc_dolines_2022-1,

title = {Dolines and Cats: Remote Detection of Karst Depressions and Their Application to Study Wild Felid Ecology},

author = {\v{S}pela \v{C}on\v{c} and Teresa Oliveira and Ruben Portas and Rok \v{C}erne and Mateja Breg Valjavec and Miha Krofel},

url = {https://www.mdpi.com/2072-4292/14/3/656},

doi = {10.3390/rs14030656},

issn = {2072-4292},

year  = {2022},

date = {2022-01-01},

urldate = {2026-02-27},

journal = {Remote Sensing},

volume = {14},

number = {3},

pages = {656},

publisher = {Multidisciplinary Digital Publishing Institute},

abstract = {Automatic methods for detecting and delineating relief features allow remote and low-cost mapping, which has an outstanding potential for wildlife ecology and similar research. We applied a filled-DEM (digital elevation model) method using LiDAR (Light Detection and Ranging) data to automatically detect dolines and other karst depressions in a rugged terrain of the Dinaric Mountains, Slovenia. Using this approach, we detected 9711 karst depressions in a 137 km2 study area and provided their basic morphometric characteristics, such as perimeter length, area, diameter, depth, and slope. We performed visual validation based on shaded relief, which indicated 83.5% accordance in detecting depressions. Although the method has some drawbacks, it proved suitable for detection, general spatial analysis, and calculation of morphometric characteristics of depressions over a large scale in remote and forested areas. To demonstrate its applicability for wildlife research, we applied it in a preliminary study in combination with GPS-telemetry data to assess the selection of these features by two wild felids, the Eurasian lynx (Lynx lynx) and the European wildcat (Felis silvestris). Both species selected for vicinity of karst depressions, among which they selected for larger karst depressions. Lynx also regularly killed ungulate prey near these features, as we found more than half of lynx prey remains inside or in close vicinity of karst depressions. These results illustrate that karstic features could play an important role in the ecology of wild felids and warrant further research, which could be considerably assisted with the use of remote detection of relief features.},

keywords = {digital elevation model, geographic information systems, geomorphology, karst depressions, LiDAR, spatial ecology, telemetry, wild felids},

pubstate = {published},

tppubtype = {article}

}