scholarly journals Population reconstruction as an informative tool for monitoring chamois populations

2020 ◽  
Vol 2020 (4) ◽  
Author(s):  
Rudolf Reiner ◽  
Andreas Zedrosser ◽  
Hubert Zeiler ◽  
Klaus Hackländer ◽  
Luca Corlatti
Keyword(s):  
Population Reconstruction

Performing statistical population reconstruction using Program PopRecon 2.0

2017 ◽  
Vol 41 (3) ◽  
pp. 581-589 ◽  
Author(s):  
Michael V. Clawson ◽  
John R. Skalski ◽  
James M. Lady ◽  
Christian A. Hagen ◽  
Joshua J. Millspaugh ◽  
...  
Keyword(s):  
Statistical Population ◽  
Statistical Population Reconstruction ◽  
Population Reconstruction

scholarly journals Estimating Mountain Lion Abundance in Arizona Using Statistical Population Reconstruction

2019 ◽  
Vol 84 (1) ◽  
pp. 85-95
Author(s):  
April L. Howard ◽  
Matthew J. Clement ◽  
Frances R. Peck ◽  
Esther S. Rubin
Keyword(s):  
Statistical Population ◽  
Mountain Lion ◽  
Statistical Population Reconstruction ◽  
Population Reconstruction

Abundance trends of American martens in Michigan based on statistical population reconstruction

2011 ◽  
Vol 75 (8) ◽  
pp. 1767-1773 ◽  
Author(s):  
John R. Skalski ◽  
Joshua J. Millspaugh ◽  
Michael V. Clawson ◽  
Jerrold L. Belant ◽  
Dwayne R. Etter ◽  
...  
Keyword(s):  
Statistical Population ◽  
Abundance Trends ◽  
Statistical Population Reconstruction ◽  
Population Reconstruction ◽  
American Martens

scholarly journals Population Reconstruction of the Locomotor Cycle From Interneuron Activity in the Mammalian Spinal Cord

2000 ◽  
Vol 83 (4) ◽  
pp. 1972-1978 ◽  
Author(s):  
Matthew C. Tresch ◽  
Ole Kiehn
Keyword(s):  
Spinal Cord ◽  
Neuronal Population ◽  
High Accuracy ◽  
Neonatal Rat ◽  
Rat Spinal Cord ◽  
Reconstruction Procedure ◽  
Spinal Interneurons ◽  
Population Reconstruction ◽  
Lesion Studies ◽  
Interneuron Activity

Lesion studies have shown that neuronal networks in the ventromedial regions of the neonatal rat spinal cord are critical for the production of locomotion. We examined whether the locomotor cycle could be accurately predicted based on the activity recorded in a population of spinal interneurons located in these regions during pharmacologically induced locomotion. We used a Bayesian probabilistic reconstruction procedure to predict the most likely phase of locomotion given the observed activity in the neuronal population. The population reconstruction was able to predict the correct locomotor phase with high accuracy using a relatively small number of neurons. This result demonstrates that although the spike activity of individual spinal interneurons in the ventromedial region is weak and varies from cycle to cycle, the locomotor phase can be accurately predicted when information from the population is combined. This result is consistent with the proposed involvement of interneurons within these regions of the spinal cord in the production of locomotion.

After Cahokia: Indigenous Repopulation and Depopulation of the Horseshoe Lake Watershed AD 1400–1900

2020 ◽  
Vol 85 (2) ◽  
pp. 263-278
Author(s):  
A.J. White ◽  
Samuel E. Munoz ◽  
Sissel Schroeder ◽  
Lora R. Stevens
Keyword(s):  
Native American ◽  
Indigenous Peoples ◽  
Environmental Changes ◽  
Population Change ◽  
Epidemic Disease ◽  
Horseshoe Lake ◽  
Population Reconstruction ◽  
History Of ◽  
Regional Population ◽  
Population Maximum

The occupation history of the Cahokia archaeological complex (ca. AD 1050–1400) has received significant academic attention for decades, but the subsequent repopulation of the region by indigenous peoples is poorly understood. This study presents demographic trends from a fecal stanol population reconstruction of Horseshoe Lake, Illinois, along with information from archaeological, historical, and environmental sources to provide an interpretation of post-Mississippian population change in the Cahokia region. Fecal stanol data indicate that the Cahokia region reached a population minimum by approximately AD 1400, regional population had rebounded by AD 1500, a population maximum was reached by AD 1650, and population declined again by AD 1700. The indigenous repopulation of the area coincides with environmental changes conducive to maize-based agriculture and bison-hunting subsistence practices of the Illinois Confederation. The subsequent regional depopulation corresponds to a complicated period of warfare, epidemic disease, Christianization, population movement, and environmental change in the eighteenth century. The recognition of a post-Mississippian indigenous population helps shape a narrative of Native American persistence over Native American disappearance.

scholarly journals Validating Synthetic Longitudinal Populations for evaluation of Population Data Linkage

2018 ◽  
Vol 3 (2) ◽  
Author(s):  
Tom Dalton ◽  
Graham Kirby ◽  
Alan Dearle ◽  
Özgür Akgün ◽  
Monique Mackenzie
Keyword(s):  
Data Linkage ◽  
Synthetic Data ◽  
Population Data ◽  
Data Sets ◽  
Population Statistics ◽  
Standard Data ◽  
Wide Range ◽  
Population Reconstruction ◽  
Potential Interactions ◽  
Linkage Evaluation

Background’Gold-standard’ data to evaluate linkage algorithms are rare. Synthetic data have the advantage that all the true links are known. In the domain of population reconstruction, the ability to synthesize populations on demand, with varying characteristics, allows a linkage approach to be evaluated across a wide range of data. We have implemented ValiPop, a microsimulation model, for this purpose. ApproachValiPop can create many varied populations based upon sets of desired population statistics, thus allowing linkage algorithms to be evaluated across many populations, rather than across a limited number of real world ’gold-standard’ data sets. Given the potential interactions between different desired population statistics, the creation of a population does not necessarily imply that all desired population statistics have been met. To address this we have developed a statistical approach to validate the adherence of created populations to the desired statistics, using a generalized linear model. This talk will discuss the benefits of synthetic data for data linkage evaluation, the approach to validating created populations, and present the results of some initial linkage experiments using our synthetic data.

Phylogenetic relationships and historical population reconstruction of Asian members of the genus Epischura (Copepoda, Calanoida)

2020 ◽  
Vol 46 (1) ◽  
pp. 12-16 ◽  
Author(s):  
Igor Zaidykov ◽  
Yuri Bukin ◽  
Elena Naumova ◽  
Sergei Kirilchik ◽  
Lyubov Sukhanova
Keyword(s):  
Phylogenetic Relationships ◽  
Population Reconstruction
Sign in / Sign up

Export Citation Format

Share Document