6/17/2023 0 Comments Advanced remote mapper tool![]() ![]() However, a study using Orbiting Carbon Observatory (OCO-2) satellite data revealed net carbon emissions across Africa, Asia, and the Americas following the 2015 El Niño event, albeit with unique drivers 3. For example, field observations indicate that the carbon sink in tropical Africa has been stable for three decades (1983–2011), which is in stark contrast with a long-term decline in the Amazon 2. Differences in ecosystem structure and function corresponding to variation in species composition directly influence ecosystem processes and will likely influence tropical forest responses to climate change. Although categorized as a single biome, tropical forests differ substantially within and across continents. Tropical forests are the most biologically diverse biome on Earth, encompassing an estimated 96% of all tree species 1. Our findings highlight the importance of these parameters for accurately mapping tropical forest types using space borne observations. We find leaf mass per area and canopy phosphorus are critical traits for distinguishing forest type. We find ecologically relevant variations in forest type that correspond to substantial differences in carbon stock, growth, and mortality rate. Using principal component and cluster analysis, we derive and map seven forest types. Here, we resample airborne remotely sensed forest data at spatial resolutions relevant to satellite remote sensing (30 m) across two sites in Malaysian Borneo. Whether the spatial resolution of emerging satellite-derived hyperspectral data is sufficient to identify different tropical forest types is unclear. Forest types differ based on functional traits and forest structure, which are readily derived from high resolution airborne remotely sensed data. The response of the tropical forest biome to environmental change is strongly influenced by forest type. Although tropical forests differ substantially in form and function, they are often represented as a single biome in global change models, hindering understanding of how different tropical forests will respond to environmental change. ![]()
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