Alta Floresta (Sherman traps)
Basic information
Sample name: Alta Floresta (Sherman traps)

Reference: M. dos Santos-Filho, P. R. de Lâzari, C. P. F. de Sousa, and G. R. Canale. 2015. Trap efficiency evaluation for small mammals in the southern Amazon. Acta Amazonica 45(2):187-194 [ER 1030]
Geography
Country: Brazil

State: Mato Grosso


Coordinate: 9° 53' S, 56° 28' W
Coordinate basis: stated in text

Environment
Habitat: tropical/subtropical moist broadleaf forest

Altered habitat: fragment

Protection: unprotected

Substrate: ground surface

MAT: 24.1

WMT: 25.6

CMT: 21.9

MAP: 2600.0

Habitat comments: "Twenty-one forest fragments ranging from two to 14,480 ha... All were surrounded by pasture and with few emergent trees due to intense selective logging in the past"
based on Michalski et al. (2007, Biotropica), the median fragment size is 26 ha
MAP 2500 to 2700 mm according to the text; MAT, CMT, and WMT are based on Vourlitis et al. (2004, Ecological Applications) and applies to a site about 50 km NNE of Sinop

Methods
Life forms: rodents,other small mammals

Sites: 21

Sampling methods: line transect,baited,Sherman traps

Sample size: 271 individuals

Years: 2009

Days: 210

Net or trap nights: 6300

Sampling comments: each fragment was "sampled for 10 consecutive days" with anywhere from one to three "ground-level grids" each of which consisted of "three parallel transects, each transect was 100 meters long and separated by 50m from the next. A trapping point was established every 20 meters along each transect, totalling five trapping points on each of the three transects" with one peanut butter- and banana-baited Sherman trap per point

Metadata
Sample number: 1526

Contributor: John Alroy

Enterer: John Alroy

Created: 2015-05-03 20:43:13

Modified: 2020-06-05 09:00:27

Abundance distribution
15 species
1 singleton
total count 271
geometric series index: 19.4
Fisher's α: 3.421
geometric series k: 0.7473
Hurlbert's PIE: 0.8636
Shannon's H: 2.2081
Good's u: 0.9964
Each square represents a species. Square sizes are proportional to counts.
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