Zobrazeno 1 - 10
of 113
pro vyhledávání: '"Elizabeth E Holmes"'
Autor:
Tessa B Francis, Elizabeth M Wolkovich, Mark D Scheuerell, Stephen L Katz, Elizabeth E Holmes, Stephanie E Hampton
Publikováno v:
PLoS ONE, Vol 9, Iss 10, p e110363 (2014)
Understanding how changing climate, nutrient regimes, and invasive species shift food web structure is critically important in ecology. Most analytical approaches, however, assume static species interactions and environmental effects across time. The
Externí odkaz:
https://doaj.org/article/8905425be08e45d29ec00960caeac491
Publikováno v:
J. Cetacean Res. Manage.. 8:273-281
Commercial whalewatching has been used as an opportunistic data source for studies of cetacean distribution, but there are few comprehensive analyses of the biases and assumptions implicit in such methodology. The goal of this study was to evaluate t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7b0c233a747f85b2733d19d5f655113
https://doi.org/10.47536/jcrm.v8i3.723
https://doi.org/10.47536/jcrm.v8i3.723
Autor:
Kumar Nimit, Mark L. Wells, David M. Checkley, Smitha Br, Elizabeth E. Holmes, Vera L. Trainer, Sourav Maity
Publikováno v:
Fisheries Oceanography. 30:623-642
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ee1fa773700718baa0e627f8963e875
https://doi.org/10.1111/fog.12541
https://doi.org/10.1111/fog.12541
Autor:
Stephen J. Salipante, Dustin R. Long, Kathryn McLean, Kelsi Penewit, Daniel J. Wolter, Adam Waalkes, Michael Lee, Elizabeth E. Holmes, Lucas R. Hoffman, Mimi R. Precit
Publikováno v:
American Journal of Respiratory and Critical Care Medicine. 203:1127-1137
Rationale: Staphylococcus aureus is the most common respiratory pathogen isolated from patients with cystic fibrosis (CF) in the United States. Although modes of acquisition and genetic adaptation ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56c4f58b6bbcb7959081611b8c255081
https://doi.org/10.1164/rccm.202003-0735oc
https://doi.org/10.1164/rccm.202003-0735oc
Publikováno v:
Diversity and Distributions. 26:1612-1626
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::400da6372c53a8acc5941190472b0442
https://doi.org/10.1111/ddi.13149
https://doi.org/10.1111/ddi.13149
Publikováno v:
Ecology and Evolution
Estimating a population's growth rate and year‐to‐year variance is a key component of population viability analysis (PVA). However, standard PVA methods require time series of counts obtained using consistent survey methods over many years. In ad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3160528bf0d24774e95e6d529131f9ff
https://doi.org/10.1002/ece3.2901
https://doi.org/10.1002/ece3.2901
Autor:
Kiva L. Oken, Elizabeth E. Holmes, Eric J. Ward, Katherine Shepard Watkins, Mark D. Scheuerell, Kenneth A. Rose, Shaye E. Sable
Publikováno v:
Environmental monitoring and assessment, vol 190, iss 9
Quantifying the impacts of disturbances such as oil spills on marine species can be challenging. Natural environmental variability, human responses to the disturbance (e.g., fisheries closures), the complex life histories of the species being monitor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4b69328383b257e5916b6de9b93e456
https://pubmed.ncbi.nlm.nih.gov/30121848
https://pubmed.ncbi.nlm.nih.gov/30121848
Autor:
Elizabeth E. Holmes, Kevin E. See
Publikováno v:
Ecological Applications. 25:1157-1165
Forecasting the risk of population decline is crucial in the realm of biological conservation and figures prominently in population viability analyses (PVA). A common form of available data for a PVA is population counts through time. Previous resear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14557a9faa03f0b91d4abc1542e9f55b
https://doi.org/10.1890/14-2003.1
https://doi.org/10.1890/14-2003.1
Publikováno v:
Global Change Biology. 21:1482-1496
Changing climate extremes and invasion by non-native species are two of the most prominent threats to native faunas. Predicting the relationships between global change and native faunas requires a quantitative toolkit that effectively links the timin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::319998f59a7b9ebb7df5a7813cf05daa
https://doi.org/10.1111/gcb.12780
https://doi.org/10.1111/gcb.12780
Autor:
Lindsay P. Scheef, Mark D. Scheuerell, Stephanie E. Hampton, Elizabeth E. Holmes, Eric J. Ward, Stephen L. Katz, Daniel E. Pendleton
Publikováno v:
Ecology. 94:2663-2669
Long-term ecological data sets present opportunities for identifying drivers of community dynamics and quantifying their effects through time series analysis. Multivariate autoregressive (MAR) models are well known in many other disciplines, such as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1d0b1bc20c567ac27b4269b3e374d54
https://doi.org/10.1890/13-0996.1
https://doi.org/10.1890/13-0996.1