Ruili (traditional light traps)
Basic information
Sample name: Ruili (traditional light traps)

Reference: H.-L. Zhang, Y.-Z. Zhang, W.-H. Yang, Y. Feng, R. S. Nasci, J. Yang, Y.-H. Liu, C.-L. Dong, S. Li, B.-S. Zhang, Z.-L. Yin, P.-Y. Wang, S.-H. Fu, M.-H. Li, F. Liu, J. Sun, Li, Gao, Liu, Wang, Petersen, and Liang. 2013. Mosquitoes of western Yunnan Province, China: seasonal abundance, diversity, and arbovirus associations. PLOS ONE 8(e77017):1-13 [ER 2229]
Geography
Country: China

State: Yunnan


Coordinate: 23.02° N, 97.85° E
Coordinate basis: stated in text as range

Geography comments: in the villages of Hexing and Qidui near "Ruili of Dehong Prefecture located near the Myanmar border"

Environment
Habitat: tropical/subtropical dry broadleaf forest

Altered habitat: cropland

Substrate: ground surface

MAT: 20.0

MAP: 1454.0

Habitat comments: "agricultural with residential farms, supporting irrigated rice fields, row crops, and vegetable gardens, and scattered fish ponds"
MAP stated in text
MAT is for Ruili County and is from Hill et al. (2014, Malaria Journal)

Methods
Life forms: mosquitoes

Sampling methods: no design,light traps

Sample size: 29304 individuals

Years: 2010

Days: 24

Nets or traps: 4

Net or trap nights: 96

Sampling comments: "Two residences in each" of the villages "were selected as sampling sites" and sampling was with "Kongfu Xiaoshuai" traditional light traps, "placed in close proximity to each residence (often next to the pigpen)... Mosquito collections were conducted for two consecutive nights each month, at each site, for a total of 16 trap nights/trap type/month" over 12 months (8 at this location)

Metadata
Sample number: 2272

Contributor: John Alroy

Enterer: John Alroy

Created: 2016-10-15 19:36:35

Modified: 2016-12-18 07:50:11

Abundance distribution
34 species
5 singletons
total count 29304
geometric series index: 44.1
Fisher's α: 3.798
geometric series k: 0.7367
Hurlbert's PIE: 0.3251
Shannon's H: 0.8883
Good's u: 0.9998
Each square represents a species. Square sizes are proportional to counts.
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