MAP researchers compiled data on malaria incidence reported by countries and research groups from 2002 through 2006, as well as climate data such as temperature and aridity that limit malaria transmission.
No similar model of tsetse abundance as a function of climate data has been presented in the peer-reviewed literature.
As no climate data were available, vegetation cover was used as a proxy of greenness (leaf-top photosynthesis) and precipitation availability [25].
The model was first run with constant annual atmospheric nitrogen deposition (2 kgN/ha yr, Holland, 1999 #728) and CO2 concentrations (283 ppm) as well as daily climate data from NCEP Reanalysis [39] for 1948 1957 at a spatial resolution of 1° × 1° until an ecological equilibrium was reached.
The model was first run with constant annual atmospheric nitrogen deposition (2 kgN/ha yr, Holland, 1999 #728) and CO2 concentrations (283 ppm) as well as daily climate data from NCEP Reanalysis [ 39] for 1948 1957 at a spatial resolution of 1° × 1° until an ecological equilibrium was reached.
From this, we calculated annual mean temperature, temperature seasonality, annual precipitation and precipitation seasonality over the baseline period of 1961 199090 as our climate data.
Clearly, as the climate data are coarsened and averaged over broader extents, such details average out in the climate and become invisible to our analyses, as was noted in our previous analyses (Barve et al. 2014).
New, higher-resolution paleoenvironmental data sets such as the LGM climate data used herein are increasingly available, so further related research in this realm should be increasingly fruitful.
Creating a simulation, they fed climate data, as well as factors like changes in carbon dioxide levels and soil composition over time, into a mathematical model.
We used the presence/absence data from these 2068 species to build a hierarchical model of the probability of species occurrence as a function of the climate data.
