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The MTP threshold reduces errors of omission; cells were coded "suitable" if the Maxent output suitability value was greater than or equal to the lowest output value for the training occurrence points on any of the ten runs for a given species and time period (modern or historical).
The MTSS threshold represents the Maxent output suitability value that maximizes the sum of sensitivity and specificity obtained from the error matrix [73] for the training data.
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Assessments of habitat connectivity are typically based on the output of habitat suitability models to first map potential habitat, and then identify where corridors exist.
We chose the logistic output format, displaying suitability values from 0 (unsuitable) to 1 (optimal) [84].
We derived presence-absence maps from the logistic suitability output from MAXENT using the 10th percentile training presence threshold, which predicts absent the 10% most extreme presence observations, as these may represent recording errors, ephemeral populations, migrants, or the presence of unusual microclimatic conditions within a cell (e.g., [63]).
Figure 9 The land use suitability assessment output.
Meanwhile, the current land use map is jointed into the suitability assessment output (Figure 10).
We used the logistic output of MaxEnt with suitability values ranging from 0 (unsuitable habitat) to 1 (optimal habitat) [68].
Figure 4 Membership Functions outputs of DFIS, (a) Suitability and (b) Weighting Factor.
In the proposed DFIS, as it is shown in Figure 1, the inputs consist of texture sensitivity, luminance sensitivity, and location sensitivity parameters of each block and the outputs consist of corresponding suitability and weighting factors.
We converted the continuous Maxent outputs of relative climatic suitability into binary grid files using two threshold criteria: (1) the generous minimum training presence (MTP) threshold, sometimes termed 'lowest presence threshold;' and (2) the more stringent maximum training sensitivity plus specificity (MTSS) threshold.
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