Base (wet season)
Basic information
Sample name: Base (wet season)

Reference: H. Ortêncio-Filho, T. E. Lacher Jr, and L. C. Rodrigues. 2014. Seasonal patterns in community composition of bats in forest fragments of the Alto Rio Paranâ, southern Brazil. Studies on Neotropical Fauna and Environment 49(3):169-179 [ER 1202]
Geography
Country: Brazil

State: Paranâ



Coordinate: 22° 45' S, 53° 15' W
Coordinate basis: stated in text

Geography comments: "near the mouth of Caracu Stream, a small tributary on the left margin of the upper Paranâ River... This site is near the Research Station of the State University of Maringâ"

Environment
Habitat: tropical/subtropical dry broadleaf forest

Altered habitat: secondary forest

Protection: unprotected

Substrate: ground surface

MAT: 20.0

MAP: 1343.0

Habitat comments: "a regenerating degraded forest remnant of 1.7 ha... It was formerly used for cattle grazing and is recuperating secondary forest"
"humid subtropical mesothermal (Cfa in the Köppen Classification)... average winter temperatures less than 18°C and hot summers with average temperatures above 22°C"
MAP data are for 2006 only; there is a pronounced five month dry season

Methods
Life forms: bats

Sampling methods: no design,mist nets

Sample size: 103 individuals

Days: 12

Seasons: wet or monsoon

Nets or traps: 8

Net or trap nights: 96

Sampling comments: "Data were collected one night per month... from January through December 2006. Bats were captured in mist nets set from dusk to dawn... study nets were open an average of 11.33 hours/night. We used 32 mist nets of 8.0 m × 2.5 m, eight per sample site, resulting in 640 m2 per hour"

Metadata
Sample number: 1737

Contributor: John Alroy

Enterer: John Alroy

Created: 2015-08-17 17:18:10

Modified: 2020-05-29 10:15:01

Abundance distribution
11 species
1 singleton
total count 103
geometric series index: 15.5
Fisher's α: 3.119
geometric series k: 0.7049
Hurlbert's PIE: 0.8103
Shannon's H: 1.9427
Good's u: 0.9907
Each square represents a species. Square sizes are proportional to counts.
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