La Guaria and Sarapiquí annexes (inner quadrat sets)
Basic information
Sample name: La Guaria and Sarapiquí annexes (inner quadrat sets)

Sample aka: La Selva Biological Station

Reference: J. R. Schlawin and R. A. Zahawi. 2008. 'Nucleating' succession in recovering neotropical wet forests: The legacy of remnant trees. Annals of Botany 19:485-492 [ER 2099]
Geography
Country: Costa Rica



Coordinate: 10° 26' N, 83° 59' W
Coordinate basis: based on nearby landmark

Geography comments: "at the Organization for Tropical Studies (OTS) La Selva Biological Station in Heredia Province, Costa Rica... in the La Guaria and Sarapiquí annexes" of the station
coordinate and altitude range of 35 to 137 m are based on McDade and Harsthorn (1994)

Environment
Habitat: tropical/subtropical moist broadleaf forest

Altered habitat: secondary forest

Substrate: ground surface

WMT: 27.1

CMT: 24.7

MAP: 4260.0

Habitat comments: "neotropical Wet Forest... under active pasture use" in 1981
CMT and WMT are for La Selva and are based on McDade and Harsthorn (1994)
MAP based on Kennedy and Horn (2008)

Methods
Life forms: trees

Sites: 15

Site area: 0.24

Sampling methods: quadrat

Sample size: 269 individuals

Years: 2004

Size min: 5

Basal area: 25.6

Sampling comments: "This study was done from June - August, 2004"
four 4 x 10 m quadrats were centered on each of 15 "remnant trees" that had existed in the pastures at abandonment; they "were established in the each of the cardinal directions extending outward from the bole of the tree" starting at the edge of the tree itself
table giving basal area is misformatted, with "Basal area" heading the column to the left of the actual basal areas

Metadata
Sample number: 2049

Contributor: John Alroy

Enterer: John Alroy

Created: 2016-06-10 20:15:00

Modified: 2017-11-09 09:54:57

Abundance distribution
74 species
33 singletons
total count 269
geometric series index: 194.3
Fisher's α: 33.716
geometric series k: 0.9511
Hurlbert's PIE: 0.9528
Shannon's H: 3.6619
Good's u: 0.8777
Each square represents a species. Square sizes are proportional to counts.
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