Perú is an ideal test case for investigating whether field plot sampling can accurately map carbon because its forests span a wide range of topographic, climatic, floristic, and geologic variables.
Perú is an ideal tropical country for this type of exercise because it hosts a wide range of topographic, biotic, geologic, and climatic variation resulting in highly heterogeneous landscape carbon distributions.
Also, it can use a range of resolutions for topographic data and water level as model input, which in turn significantly reduces simulation time while providing reasonable simulation results.
We sampled a much smaller range of topographic positions (see Additional file 3), and the 10 m DEMs did not account for microtopography in the quadrats.
Over the last century, increases in the spatial extent ('expansion') and density ('thickening') of woody plants relative to herbaceous species has been observed across a range of climatic, geologic, and topographic settings [1 3].
Over the last century, increases in the spatial extent ('expansion') and density ('thickening') of woody plants relative to herbaceous species has been observed across a range of climatic, geologic, and topographic settings [ 1- 3].
Figures 2, 3, 4 demonstrate a range of known methods for forming a topographic map.
Plateau-type bauxites at the highest topographic levels developed on a range of Proterozoic crystalline bedrocks on the northern edge of the Guiana Shield in the country's interior.
Experimental tiles were designed with six different topographic sections composed of tightly-packed hemispheres over a range of diameters from 100 to 2000 μm.
Even over a range of elevations, and sometimes rather different mixes of dominant conifers, the resulting topographic categories consistently predicted patterns of forest structure and wildlife habitat.
