Microclimate dataset of the SAFE Project landscape
Daily projections of mean and maximum temperature and vapour pressure deficit (VPD) across the SAFE landscape in Borneo, Malaysia. Data was used to model the number of yearly life-cycle completions (LCC/year) of the disease vector Aedes albopictus in order to study the impact of deforestation for oil palm plantation on microclimate-driven vector suitability. Dataset contains stacked raster files with a 50-meter grid cell resolution (n = 145,214 grid cells, equivalent to approximately 363 km2). Microclimate data were projected using LiDAR-derived DEM, CHM and point cloud-derived metrics, combined with microclimatic data from dataloggers, as inputs (see associated doi for more information: Jucker et al (2018)).
Authors
- Jucker, Tommaso — University of Bristol
- Hardwick, Stephen R — Imperial College London
- Both, Sabine — University of New England
- Elias, Dafydd MO — Lancaster University
- Ewers, Robert M — Imperial College London
- Milodowski, David T — University of Edinburgh
- Saager, Elise — University Medical Centre, Utrecht
- Iwanmura, Takuya — University of Geneva
- Murray, Kris — Imperial College London/London School of Hygeine and Tropical Medicine, MRC Unit The Gambia
- Swinfield, T — University of Cambridge
- Coomes, David A — University of Cambridge
Keywords
- temperature
- vapour pressure deficit
- microclimate
- lidar
- projection
Funders
- UK Research and Innovation (NE/K016377/1 )
Permits
- No permits recorded.
Worksheets
| Name | Title | Fields | Rows |
|---|---|---|---|
| No worksheets recorded. | |||
Files
- microclimate_temp_vpd.xlsx
- T_max.tif
- T_mean.tif
- VPD_max.tif
- VPD_mean.tif
Taxa
0 GBIF taxa, 0 sequence-derived taxa.