Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Elizabeth M Kierepka"'
Autor:
Benjamin R. Goldstein, Alex J. Jensen, Roland Kays, Michael V. Cove, William J. McShea, Brigit Rooney, Elizabeth M. Kierepka, Krishna Pacifici
Publikováno v:
Methods in Ecology and Evolution, Vol 15, Iss 7, Pp 1177-1191 (2024)
Abstract Site occupancy models (SOMs) are a common tool for studying the spatial ecology of wildlife. When observational data are collected using passive monitoring field methods, including camera traps or autonomous recorders, detections of animals
Externí odkaz:
https://doaj.org/article/a56808f7e5ec40fc86b8fca34431f0e1
Publikováno v:
PLoS ONE, Vol 10, Iss 2, p e0117500 (2015)
Human-altered environments often challenge native species with a complex spatial distribution of resources. Hostile landscape features can inhibit animal movement (i.e., genetic exchange), while other landscape attributes facilitate gene flow. The ge
Externí odkaz:
https://doaj.org/article/e709f606c1dc49c9b751e6be3e089938
Autor:
Elizabeth M Kierepka, Sophie Preckler-Quisquater, Dawn M Reding, Antoinette J Piaggio, Seth P D Riley, Benjamin N Sacks
Publikováno v:
Journal of Heredity. 114:110-119
The gray fox (Urocyon cinereoargenteus) lineage diverged from all other extant canids at their most basal node and is restricted to the Americas. Previous mitochondrial analysis from coastal populations identified deeply divergent (up to 1 Mya) easte
Autor:
Mark J. Statham, Cody M. Aylward, Laureen Barthman-Thompson, Elizabeth M. Kierepka, Benjamin N. Sacks
Publikováno v:
Conservation Genetics. 23:759-771
Preserving the genetic diversity of endangered species is fundamental to their conservation and requires an understanding of genetic structure. In turn, identification of landscape features that impede gene flow can facilitate management to mitigate
Publikováno v:
Conservation Genetics Resources. 13:375-377
The mountain gorilla (Gorilla beringei beringei) is one of two endangered subspecies of eastern gorilla. The principle approach to monitoring the two extant mountain gorilla populations has been to use fecal surveys to obtain DNA profiles for individ
Autor:
Elizabeth M. Kierepka, Jan E. Janecka, Richard T. Kazmaier, Rocky Ward, Byron V. Weckworth, Imogene A. Cancellare
Publikováno v:
PeerJ, Vol 9, p e11498 (2021)
PeerJ
PeerJ
Patterns of spatial genetic variation can be generated by a variety of ecological processes, including individual preferences based on habitat. These ecological processes act at multiple spatial and temporal scales, generating scale-dependent effects
Autor:
Frederick I. Archer, Brook G. Milligan, Robin S. Waples, Brian K. Hand, Elizabeth M. Kierepka, Anne-Laure Ferchaud
Publikováno v:
Evolutionary Applications
Genetic monitoring estimates temporal changes in population parameters from molecular marker information. Most populations are complex in structure and change through time by expanding or contracting their geographic range, becoming fragmented or coa
Publikováno v:
The Journal of Wildlife Management. 81:1394-1407
Despite efforts to reduce their effects on livestock and native ungulates within the southeastern United States, coyotes (Canis latrans) can recover from control programs. It is unknown how coyotes compensate for high mortality following trapping, so
Publikováno v:
Heredity (Edinb)
Understanding how habitat loss and fragmentation impact genetic variation is a major goal in landscape genetics, but to date, most studies have focused solely on the correlation between intervening matrix and genetic differentiation at a single spati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a46cfc4334937abc09773936d00e13f
https://europepmc.org/articles/PMC7029014/
https://europepmc.org/articles/PMC7029014/
Autor:
David A. Keiter, Antoinette J. Piaggio, Chris Slootmaker, Kim M. Pepin, Amy J. Davis, Elizabeth M. Kierepka, James C. Beasley
Publikováno v:
Scientific Reports
Scientific Reports, Vol 10, Iss 1, Pp 1-14 (2020)
Scientific Reports, Vol 10, Iss 1, Pp 1-14 (2020)
A critical element in effective wildlife management is monitoring the status of wildlife populations; however, resources to monitor wildlife populations are typically limited. We compared cost effectiveness of three common population estimation metho