Identification

Title

Seasonal changes in mosquito population densities in irrigated and non-irrigated areas in Bura, Tana River County, Kenya (2013-2014)

Abstract

These data comprise apparent densities, species and sex and of mosquitos collected in irrigated and non-irrigated areas in Bura, Tana River County Kenya, between September 2013 and November 2014. Sampling was repeated four times over the period to cover the wet season, dry season, irrigation season and fallow periods. Mosquitoes were trapped using carbon dioxide-baited (CDC) light traps. Mosquitoes harvested from each of these traps were immobilized using 99.5% triethyleamine (Sigma-Aldrich, St. Louis, Missouri) and transferred to distinct bar-coded centrifuge tubes or cryogenic vials. The samples were transported in liquid nitrogen to the entomology section of Arbovirus/Viral haemorrhagic fever (VHF) laboratory at the Kenya Medical Research Institute (KEMRI) where they were sorted by species, sex, village, collection date and counted. The study was implemented to assess the impact of land use change (specifically the conversion of pastoral rangeland into crop land) on the suitability of the habitats to mosquito development and colonization. It also aimed to identify relative abundance of mosquitoes associated with Rift Valley fever virus transmission. The data were collected and analysed by experienced researchers from the International Centre of Insect Physiology and Ecology (Kenya), the International Livestock Research Institute (Kenya) and the Kenya Medical Research Institute. This dataset is part of a wider research project, the Dynamic Drivers of Disease in Africa Consortium (DDDAC). The research was funded by NERC project no NE-J001570-1 with support from the Ecosystem Services for Poverty Alleviation Programme (ESPA). Additional funding was provided by the Consultative Group on International Agricultural Research (CGIAR) Program Agriculture for Nutrition and Health. Full details about this dataset can be found at https://doi.org/10.5285/813f99c4-d07a-42dc-993a-1c35df9f028e

Resource type

dataset

Resource locator

https://data-package.ceh.ac.uk/sd/813f99c4-d07a-42dc-993a-1c35df9f028e.zip

name: Supporting information

description: Supporting information available to assist in re-use of this dataset

function: information

https://data-package.ceh.ac.uk/data/813f99c4-d07a-42dc-993a-1c35df9f028e

name: Download the data

description: Download a copy of this data

function: download

Unique resource identifier

code

https://catalogue.ceh.ac.uk/id/813f99c4-d07a-42dc-993a-1c35df9f028e

codeSpace

doi:

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

health

Keywords

Keyword set

keyword value

originating controlled vocabulary

title

GeoNames

reference date

date type

creation

effective date

2006-01-01

Keyword set

keyword value

Bura

Tana River County

Drivers of Disease in Africa Consortium (DDDAC)

Ecosystem Services for Poverty Alleviation (ESPA)

land use change

Mosquito abundance

irrigation

Mosquito

carbon dioxide-baited (CDC) light traps

Geographic location

West bounding longitude

39.78

East bounding longitude

40.05

North bounding latitude

-1.04

South bounding latitude

-1.27

Temporal reference

Temporal extent

Begin position

2013-09-01

End position

2014-11-30

Dataset reference date

date type

publication

effective date

2017-03-10

Frequency of update

Quality and validity

Lineage

During each visit, mosquitoes were trapped using carbon dioxide-baited (CDC) light traps that were set between 6PM and 6AM for three consecutive days in defined sampling sites (farms and human settlements). All the 10 villages in the Bura irrigation scheme and an additional site outside the scheme (Murukani) were sampled during all these visits. A total of 10 traps were used per village. Each trap was allocated a unique number and mosquitoes harvested from each of these traps were immobilized using 99.5% triethyleamine (Sigma-Aldrich, St. Louis, Missouri) and transferred to distinct bar-coded centrifuge tubes or cryogenic vials. The samples were transported in liquid nitrogen to the entomology section of the VHF laboratory at KEMRI where they were sorted by species, sex, village, collection date and counted. Identified mosquitoes were pooled in sizes of up to 25 per pool and kept in liquid nitrogen for future analyses. Data on mosquito counts per trap-night were entered into a database designed using Microsoft Excel. These data were then converted into a csv file for ingestion purposes. The data are in their original formats as no transformations or editing has been done. Mosquito speciation and data analysis was supervised by an internationally recognised entomologist for quality assurance.

Conformity

Conformity report

specification

title

Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services

reference date

date type

publication

effective date

2010-12-08

degree

explanation

Data format

name of format

Comma-separated values (CSV)

version of format

Constraints related to access and use

Constraint set

Limitations on public access

Constraint set

Limitations on public access

Constraint set

Limitations on public access

Constraint set

Limitations on public access

If you reuse this data, you should cite: Sang, R., Lutomiah, J., Lindahl, J.F., Grace, D., Bett, B. (2017). Seasonal changes in mosquito population densities in irrigated and non-irrigated areas in Bura, Tana River County, Kenya (2013-2014). NERC Environmental Information Data Centre https://doi.org/10.5285/813f99c4-d07a-42dc-993a-1c35df9f028e

publisher

Metadata on metadata

Metadata point of contact

organisation name

Environmental Information Data Centre

full postal address

Lancaster Environment Centre, Library Avenue, Bailrigg

Lancaster

LA1 4AP

email address

info@eidc.ac.uk

responsible party role

pointOfContact

Metadata date

2022-01-06T18:24:10

Metadata language

eng