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Note: For the best overall experience we recommend using the Chrome browser.
This tool lets the user focus on 3 different levels (or scales) of the data. This selection indicates on what "scale" people want to see and prioritise the data on. This could be continental, country based or on the specific species' range level.
For example: If "Country" is selected, the "prioritisation" of the data will happen on a national level or scale for the next selected value.
This selection focuses the prioritisation function to the selected area. One can view this as the "clipping" layer for the data. All other data layers will still be available but the "prioritisation" will only be made within the selected geographocal area.
For example: If "Species Range" (previous selection) was selected, the data layer will be clipped to the selected area, for example: "Western Chimpanzee", and the prioritisation of the data will only happen for data that falls within this area.
This restricts the data to within the geographocal area of the selected entry.
For example: If "Protected Areas" is selected, the prioritisation will happen only within the geographocal areas defined by "Protected Areas".
This is a collaborative project between the Max Planck Institute for Evolutionary Anthropology and Great Apes Survival Partnership United Nations Environment Programme (UNEP-GRASP).
The aim of this online tool is to overlay carbon stock and great apes distribution data to identify priority areas for implementing REDD projects when also considering co-benefits for the conservation of great ape species.
This platform provides various analytical tools for optimizing the data selection process, for visualizing the overlap between carbon stocks and great ape populations on either the continental, country or species range level.
This tool has been designed to be self-explanatory, but additional help and metadata can be found here.
SEC is a measure of ape occurrence probability. It is defined by the attributes of an area based on environmental and human impact variables, including human population density, poverty, distance to roads, precipitation, temperature, distance to rivers, forest cover and distance to nearby forests. Details can be found in “Junker et al. (2012) Recent decline in suitable environmental conditions for African great apes. Diversity and Distributions 18, 1077-1091”.
SEC values range between 0 and 1 and can be seen as a probability that apes occur at a given location. A value of 0 means that an area is not suitable and apes are absent in all pixels that have this value. On the other hand a value of 1 means that all pixels having this value indicate areas, where apes are present. Values between 0 and 1 (0 < x < 1) indicate that apes should occur in at least x% of the pixels which have the value x. For instance a SEC value of 0.3 indicates that apes are present in about 30% of all pixels which have this value.
This layer provides aboveground live woody biomass density at spatial resolution of about 500m. Details can be found in “A. Baccini et al. (2012) Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps. Nature Climate Change 2, 182-185”.
The pixel values are in tons (10^6) of aboveground live woody biomass per hectare (t/ha). Pixel values range between 0 and 500t/ha. Forested areas in Africa range between 100-300t/ha, whereas forests in Southeast Asia can have values up to 500t/ha.
This selection defines the product of SEC and Carbon values to illustrate the co-benefit of carbon stocks and great ape occurrence. It has the unit of t/ha. The idea is that areas with SEC of 1 get the carbon value (in t/ha) for this area. As the probability of ape occurrence decreases, the product value of ‘SEC x Carbon’ also decreases. In an area, where apes are absent (SEC equals 0), the product SECxCarbon is also 0 t/ha and has no co-benefit anymore when considering carbon and great apes simultaneously.
Consider the following example:
In a forest with an average carbon stock of 300t/ha apes occur everywhere and SEC values are all 1. In a second forest with the same carbon stock of 300t/ha, no apes occur. Without considering great apes, there would be no difference in carbon stock for the two forests. However, when considering the co-benefits for great apes, the first forest receives a value of 300t/ha (carbon stock of 300t/ha times SEC of 1), whereas the second forest has 0t/ha (carbon stock of 300t/ha times SEC of 0).
This layer gives the number of ape individuals per km² (density). It is currently only available for the country ofd Liberia (Junker et al. (2012) Recent decline in suitable environmental conditions for African great apes. Diversity and Distributions 18, 1077-1091). Density layers for other regions and ape taxa will be added in the future upon availability.
This same as with SEC x Carbon, except that Density is used instead of SEC values.
This slider allows visualizing the selected data layer (‘SEC’, ‘Carbon’ or ‘SECxCarbon’) based on setting a relative threshold between 0-100%. Based on the selected scale, area and model defined in the previous step, the slider selects the top x% of data values in the selected data layer. For instance selecting the ‘SEC x Carbon’ layer and setting the slider to 15% will highlight those areas in blue which have the corresponding top 15% of pixel values in the ‘SEC x Carbon’ layer.
Please move the slider to the desired value between 0% to 100% to make your preferred selection.
This slider will highlight all areas in blue which have corresponding pixel values greater and equal to the fixed threshold value (highlighted pixels > x).
There are three options to use this functionality. Either set the fixed threshold value by entering the value in the specified field, by using the up and down arrows, or by moving the slider to the desired value.
Please see the layer histograms by clicking on the ’show histogram’ button for meaningful values. Selectable values are constrained by the minimum and maximum values of the respective layer.
This video will give you an overview of how to interact with the system. Please send us feedback should you have any recommondations or suggestions.