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To investigate the effect of genetic adaptation along the gradient, we compared scenario B (adaptive evolution with = 1) with scenario A (neutral with = 0).
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We then evaluated the landscape connectivity and compared scenarios for eight dispersal distances of the resource patches.
We distinguished between infections caused by oseltamivir-sensitive and -resistant strains and compared scenarios with increasing prevalence of oseltamivir resistance.
Furthermore, costs and carbon emissions decrease by approximately 10%and17%7% respectively comparing Scenario 1A with Scenario 2B.
Comparing scenario A (uniform expansion) with the baseline shows a reduction in water intensity of approximately 16% in each state.
Comparing scenario A against C makes it possible to appreciate that when sustainable policies are in place, the impact of population growth can be contained.
Land usage falls in the terminal period by 0.7 million acres or one percentage point when comparing Scenario 7 with Scenario 1, assuming oil replacement.
We examined how much each of these statistics contributes to our results by removing one at a time while comparing scenario 2 against either 2nd best-supported scenario (#5) or scenario 1 which represents a constant population size.
Therefore, we include results for larger input data to compare scenarios with similar data profiles.
Landscape structure and field margin management were evaluated by comparing scenario-based ERAs for the beetle.
At an abstract level, we can compare scenarios along several axes: Does the scenario follow a predefined structure or not?
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com