Population Structure and Emergence Activity Patterns in Myotis thysanodes and M. lucifugus (Chiroptera: Vespertilionidae) in Northeastern New Mexico

1975 ◽  
Vol 93 (2) ◽  
pp. 368 ◽  
Author(s):  
Michael J. O'Farrell ◽  
Eugene H. Studier
Keyword(s):  
Population Structure ◽  
New Mexico ◽  
Activity Patterns

Understanding Habitat Use and Activity Patterns of Ornate Box Turtle (Terrapene ornata) in Eastern New Mexico

2021 ◽  
Vol 186 (2) ◽  
Author(s):  
Thanchira Suriyamongkol ◽  
Laramie B. Mahan ◽  
Alissa A. Kreikemeier ◽  
Vinicius Ortega-Berno ◽  
Ivana Mali
Keyword(s):  
New Mexico ◽  
Habitat Use ◽  
Activity Patterns ◽  
Terrapene Ornata ◽  
Box Turtle

scholarly journals Abundancia relativa, estructura poblacional, preferencia de hábitat y patrones de actividad del Tapir Centroamericano Tapirus bairdii (Perissodactyla: Tapiridae), en la Selva de Los Chimalapas, Oaxaca, México

2014 ◽  
Vol 62 (4) ◽  
pp. 1407 ◽  
Author(s):  
Iván Lira-Torres ◽  
Miguel Briones-Salas ◽  
Gerardo Sánchez-Rojas
Keyword(s):  
Population Structure ◽  
Relative Abundance ◽  
Rain Forest ◽  
Tropical Rain Forest ◽  
Activity Patterns ◽  
Habitat Preferences ◽  
Camera Traps ◽  
Quintana Roo ◽  
Invasive Technique ◽  
Sampling Effort

Baird’s tapir (<em>Tapirus bairdii</em>) is endangered primarily because of habitat loss and fragmentation, and overhunting throughout its distribution range. One of the priority land areas for the conservation of this species is the Northern part of its range in the Chimalapas forest, Oaxaca. The aim of this research was to determine the relative abundance, population structure, habitat preferences and activity patterns of Baird´s tapir (<em>Tapirus bairdii</em>) in the Chimalapas forest, Oaxaca, Mexico, through the non-invasive technique of camera-trap sampling. A total of five sampling sessions were undertaken among 2009-2013, and used a total of 30 camera-traps in each period. The determinant factor of the sampling design was the hunting between two study areas. A total sampling effort of 9 000 trap-days allowed to estimate an index of relative abundance (IRA) of 6.77 tapir photographs/1 000 trap-days (n=61). IRA varied significantly between sampling stations (Mann-Whitney, p&lt;0.01). The frequency of Baird´s tapir photos was higher in the dry season in tropical rain forest without hunting (<em>x</em>², p&lt;0.5). In the rainy season, the tropical rain forest and secondary vegetation habitats showed higher photo frequency than expected from random (<em>x</em>², p&lt;0.5). Considering population structure, a 95.08% of adult animals was obtained in photographic records (n=58). Three types of activity pattern were observed, with more nocturnal records (88.33%; Kruskal-Wallis, p&lt;0.05). The Chimalapas forest appears to be the second most important terrestrial priority ecoregion, just after the Mayan Forest (Campeche, Chiapas, Quintana Roo), for the conservation of tapir populations, not only for Mexico but also for Central America.

Predicting spatial activity patterns in a neural map from a probabilistic atlas of 3-D reconstructed neurons

1995 ◽  
Vol 53 ◽  
pp. 812-813
Author(s):  
G. Jacobs ◽  
F. Theunissen
Keyword(s):  
Activity Patterns ◽  
Three Dimensional ◽  
Sensory System ◽  
Neural System ◽  
Probabilistic Atlas ◽  
Uniform Sample ◽  
Dimensional Reconstruction ◽  
The Time Domain ◽  
And Function ◽  
Visualization Techniques

In order to understand how the algorithms underlying neural computation are implemented within any neural system, it is necessary to understand details of the anatomy, physiology and global organization of the neurons from which the system is constructed. Information is represented in neural systems by patterns of activity that vary in both their spatial extent and in the time domain. One of the great challenges to microscopists is to devise methods for imaging these patterns of activity and to correlate them with the underlying neuroanatomy and physiology. We have addressed this problem by using a combination of three dimensional reconstruction techniques, quantitative analysis and computer visualization techniques to build a probabilistic atlas of a neural map in an insect sensory system. The principal goal of this study was to derive a quantitative representation of the map, based on a uniform sample of afferents that was of sufficient size to allow statistically meaningful analyses of the relationships between structure and function.

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