Context-aware Consensus Algorithm for Blockchain-empowered Federated Learning

Context-aware Consensus Algorithm for Blockchain-empowered Federated Learnin

Results of the Jackknife Test of Environmental Variables’ Contribution in Modeling <i>P</i>. <i>tenuifolia</i>’s Potential Habitat Distribution.

<p>The graph shows the result of the Jackknife test of variable importance using regularized training gain, test gain and AUC on test data respectively. The red bars indicate the gain using solo environmental variable, the hollow bars indicate the gain excluding the single variable from the full model, and the blue bars indicate the gain considering all variables.</p

The Change of Highly Suitable Habitat Area of <i>P</i>. <i>tenuifolia</i> under the Four RCPs (RCP2.6, RCP4.5, RCP6.0 and RCP8.5) in Two Periods (2050 and 2070).

<p>The mean pixel frequency of highly suitable habitat in the current scenario was set as 1.0 and the others were expressed relative to it. Bars indicate means ± sd (n = 10 circle), and significant differences at P < 0.01 within in each group are indicated by different letters (a, b and c).</p

Potential Distribution of <i>P</i>. <i>tenuifolia</i> Modeled by Maxent Under the Four RCPs (RCPs 2.6, 4.5, 6.0 and 8.5) in the Two Periods (2050 and 2070).

<p>Blue to red colors indicate the presence probability of the areas from 0 to 1.</p

Potential Distribution Modeled by Maxent for <i>P</i>. <i>tenuifolia</i> in China under the Current Climate.

<p>Blue to red colors show the increase of presence probability. 0 indicates completely unsuitable and 1 indicates optimal.</p

Mean Altitude of the Highly Suitable Regions for <i>P</i>. <i>tenuifolia</i> in China.

<p>Bars indicate means ± sd (n = 10 circle), and significant differences at P < 0.01 within each group are indicated by different letters (a, b and c).</p

Shift in the <i>P</i>. <i>tenuifolia</i> Potential Distribution under the Four RCPs (RCP2.6, RCP4.5, RCP6.0 and RCP8.5) in the Two Periods (2050 and 2070), Compared with the Current Potential Distribution.

<p>Shift in the <i>P</i>. <i>tenuifolia</i> Potential Distribution under the Four RCPs (RCP2.6, RCP4.5, RCP6.0 and RCP8.5) in the Two Periods (2050 and 2070), Compared with the Current Potential Distribution.</p

Relative Contributions of 20 Environmental Variables in Habitat Distribution Model of P. tenuifolia from Four Different RCP Scenarios (RCPs 2.6, 4.5, 6.0 and 8.5) in Current and Two future Periods (2050 and 2070).

<p>The abbreviations of variables could be looked up from <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0163718#pone.0163718.s001" target="_blank">S1 Table</a>.</p

AUC Values of Modeling <i>P</i>. <i>tenuifolia</i>’s Habitat Distribution from Four Different RCP Scenarios (RCPs 2.6, 4.5, 6.0 and 8.5) in Current and Two future Periods (2050 and 2070).

<p>AUC Values of Modeling <i>P</i>. <i>tenuifolia</i>’s Habitat Distribution from Four Different RCP Scenarios (RCPs 2.6, 4.5, 6.0 and 8.5) in Current and Two future Periods (2050 and 2070).</p

Current Distribution of <i>P</i>. <i>tenuifolia</i> Specimen Occurrences in China.

<p>Current Distribution of <i>P</i>. <i>tenuifolia</i> Specimen Occurrences in China.</p