DOI: 10.5281/zenodo.3475407
title: The effects of progressive land use changes on the distribution, abundance and behavior of vector mosquitoes in Sabah, Malaysia

description: <b>Description: </b>The objectives of this study were:1) To investigate the effects of progressive land use change from pre-development forest, through forest clearing and cultivation to plantation maintenance on occurrence of vector mosquitoes.<br>2) To determine the status of Anopheles donaldi as a vector of malaria in changing land uses.<br>3) To study the seasonality, abundance and behaviour of vector mosquitoes in study areas.<br><br>Methods<br>Study sites:<br>Study areas were located at The SAFE Project field site:<br>1. areas between Maliau Basin Conservation Area (old growth site),<br>2. logged forest sites in the Benta Wawasan area (area undergoing clearing),<br>3. oil palm plantation sites in Benta Wawasan's Silangan Batu Estate (oil palm site)<br><br>Mosquito collection<br>Mosquito samplings (adults and immature stages) were taken at all 3 study areas every alternate month from January 2017 until December 2018. Every sampling month, 2 collectors (n=2) spent 1 night at each study area where all-night human landing collection were carried out at 3 different sampling points for each collector. Collectors performed outdoor landing catches from 18:00 to 06:00. They collected mosquitoes that landed on naked legs with aspirators. Collectors were given prophylaxis prior to the sampling activities. Collected mosquitoes were then placed at hourly intervals inside glass vials. Mosquitoes were morphologically identified using available dichotomous keys the following morning. In every sampling period, meteorological data such as air temperature, relative humidity, atmospheric pressure and wind speed was recorded on hourly basis using a handheld weather station.<b>Project: </b>This dataset was collected as part of the following SAFE research project: <b>The effects of progressive land use changes on the distribution, abundance and behavior of vector mosquitoes in Sabah, Malaysia</b><b>Funding: </b>These data were collected as part of research funded by: Universiti Malaysia Sabah (Studentship)This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs.<b>Permits: </b>These data were collected under permit from the following authorities:Sabah Biodiversity Centre (SaBC) (Research licence Local)<b>XML metadata: </b>GEMINI compliant metadata for this dataset is available here<b>Files: </b>This consists of 1 file: Evyen_Mosquito_data.xlsx<b>Evyen_Mosquito_data.xlsx</b>This file contains dataset metadata and 2 data tables:<b>Mosquito_count</b> (described in worksheet Mosquito_count)Description: The taxonomic identification of mosquitos caughtNumber of fields: 6Number of data rows: 40Fields: <b>Month</b>: month the mosquitos (Field type: categorical)<b>Species</b>: species ID of mosquitos caught (Field type: taxa)<b>MB</b>: Number of species caught in the Maliau Basin (Field type: numeric)<b>LFE</b>: Number of species caught in the LFE safe plot (Field type: numeric)<b>B_862</b>: Number of species caught in the B fragment SAFE (Field type: numeric)<b>Total</b>: Total caught per month (Field type: numeric)<b>Mosquito_weather</b> (described in worksheet Mosquito_weather)Description: The weather conditions of the mosquito samplings daysNumber of fields: 9Number of data rows: 203Fields: <b>Date</b>: Date of sampling (Field type: date)<b>Time</b>: Time of sampling (Field type: time)<b>Location</b>: Location of sampling (Field type: location)<b>Temperature</b>: Air tempreture (Field type: numeric)<b>Humidity</b>: Air humidity (Field type: numeric)<b>Wind Speed</b>: Wind (Field type: numeric)<b>Pressure</b>: Atomspheric pressure (Field type: numeric)<b>No.mosquito collected</b>: Number of mosquitos caught (Field type: numeric)<b>Notes</b>: Species (Field type: comments)<b>Date range: </b>2017-07-16 to 2018-08-21<b>Latitudinal extent: </b>4.4300 to 5.0700<b>Longitudinal extent: </b>116.5800 to 117.8200<b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets. - Animalia <br> - - Arthropoda <br> - - - Insecta <br> - - - - Diptera <br> - - - - - Culicidae <br> - - - - - - <i>Heizmannia</i> <br> - - - - - - <i>Anopheles</i> <br> - - - - - - - <i>Anopheles balabacensis</i> <br> - - - - - - - <i>Anopheles latens</i> <br> - - - - - - <i>Culex</i> <br> - - - - - - - <i>Culex sitiens</i> <br> - - - - - - - <i>Culex vishnui</i> <br> - - - - - - <i>Aedes</i> <br> - - - - - - - <i>Aedes albopictus</i> <br> - - - - - - - <i>Aedes ganapathi</i> <br>