13 research outputs found
Fauna communities on the four study sites with implementation of both camera-trapping and linear transects: jaguar density, biomass index of mammal prey, biomass index of terrestrial bird prey.
<p>Fauna communities on the four study sites with implementation of both camera-trapping and linear transects: jaguar density, biomass index of mammal prey, biomass index of terrestrial bird prey.</p
French Guiana more favorable habitats of prey.
<p>Protected areas: nature reserves and national parks, in green. Hatchings: area with Human Footprint Index < 15 (thresold value allowing maintenance of the abundance of most of prey species). Dark grey: forest areas with canopy roughness > 12, favoring higher biomass of prey.</p
Results of four camera-trapping surveys in French Guiana for jaguars.
<p>Results of four camera-trapping surveys in French Guiana for jaguars.</p
Biomass Index (kg<sup>-1</sup> Ă— km of transect) of a selected set of terrestrial birds and mammals, according to the Human Footprint Index, and associated correlation curves.
<p>The four study sites for jaguar density assessment are given on the index scale, according to their mean value. The two pictures show sites with a 5–10 Index value (left) and a 15–20 Index value (right).</p
French Guiana study sites, with the protected areas.
<p>Protected areas: nature reserves and national parks, in green. Locations of the sites where camera-trap surveys were implemented (1, Montagne de Fer; 2, Counami; 3, Montagne de Kaw; 4, Nouragues) in light brown; locations of the areas where line-transects were implemented in dark brown; and jaguar habitats from less favorable (light grey) to more favorable (dark grey).</p
Field surveys required to assess abundance of ungulates and two frugivorous birds, based on 40 surveys (up), and the number of jaguars based on four study areas (down).
<p>Top: the r coefficient correlation shows the correlation between the stabilized abundance (sampling effort > 100 km) and abundance assessed with a lesser sampling effort. The correlation is derived from 40 surveys.</p
Climatic projections for Madagascar
Climatic projections from seven IPCC CMIP5 global climate models (GCMs) for years 2050 and 2080 following two representative concentration pathways (RCPs): RCP 4.5 and RCP 8.5. The seven GCMs are: ACCESS 1.0 (ac), CCSM4 (cc), GISS-E2-R (gs), HadGEM2-ES (he), IPSL-CM5A-LR (ip), MIROC5 (mc) and NorESM1-M (no). The projections are for the following bioclimatic variables: bio1=mean annual temperature, bio4=temperature seasonality, bio12=annual precipitation
Multiband raster of explicative variables.
Multiband raster of explicative variables for the ACD model. The raster includes the following bands: elevation, EVI, VCF, mean annual temperature, temperature seasonality and annual precipitation. EVI is scaled between 0 and 10000 so that the raster type can be "INT2S". EVI must be rescaled between 0 and 1 to be used with the Random Forests model
Multiband raster for computing ACD by forest type
Multiband raster for computing ACD by forest type. The raster includes four bands for: Madagascar forest extent in 2010, ecoregions, Saatchi's carbon map and Baccini's biomass map
Above-ground carbon density (ACD) data
This file includes the geographical coordinates and above-ground carbon density (ACD in Mg.ha-1) of 1771 forest plots in Madagascar