## 3 Results
### Land Use Changes for Lehigh Valley
#### 3.3.1 Experiment 1 Lehigh Valley: Converting Lawn to Forest
\begin{table}
\begin{tabular}{c c c c c c c c c c} \hline  & & & & & & & & & & \\ \hline
**I2F** & **Cohort** & **VegC** & **SoiIC** & **GPP** & **NPP** & **NEP** & **NCE** & **Soil Moist** & **ET** & **Runoff** \\ \hline
10\% & **Impervious** & 0.00 & \(-\)10.08 & 0.00 & 0.00 & 0.00 & \(\mathbf{-10.03}\) & 0.00 & \(\mathbf{-10.03}\) \\ \hline
10\% & **Forest** & 0.14 & 0.25 & 0.07 & 0.10 & 1.25 & 1.25 & \(\mathbf{1.94}\) & 1.38 & 2.39 \\ \hline
10\% & **Average** & 0.14 & 0.18 & 0.06 & 0.08 & 0.61 & 1.30 & 0.90 & 0.89 & \(-\)1.12 \\ \hline
25\% & **Impervious** & 0.00 & \(-\)25.19 & 0.00 & 0.00 & 0.00 & 0.00 & \(\mathbf{-25.02}\) & 0.00 & \(\mathbf{-25.02}\) \\ \hline
25\% & **Forest** & 0.35 & \(\mathbf{0.63}\) & 0.18 & 0.25 & 3.14 & 3.14 & \(\mathbf{4.86}\) & \(\mathbf{3.47}\) & 6.00 \\ \hline
25\% & **Average** & 0.35 & \(\mathbf{0.45}\) & 0.14 & 0.20 & 1.54 & 3.27 & \(\mathbf{2.27}\) & \(\mathbf{2.23}\) & \(-\)2.77 \\ \hline
50\% & **Impervious** & 0.00 & \(-\)50.00 & 0.00 & 0.00 & 0.00 & \(\mathbf{-50.01}\) & 0.00 & \(\mathbf{-50.01}\) \\ \hline
50\% & **Forest** & 0.71 & \(\mathbf{1.27}\) & 0.37 & 0.50 & 6.28 & 6.28 & \(\mathbf{9.72}\) & \(\mathbf{6.96}\) & \(\mathbf{12.02}\) \\ \hline
50\% & **Average** & 0.70 & \(\mathbf{0.90}\) & 0.29 & 0.40 & 3.08 & 6.55 & \(\mathbf{4.55}\) & \(\mathbf{4.46}\) & \(-\)5.53 \\ \hline  & & & & & & & & & & \\ \hline
**F2L** & **Cohort** & **VegC** & **SoiIC** & **GPP** & **NPP** & **NEP** & **NCE** & **Soil Moist** & **ET** & **Runoff** \\ \hline
10\% & **Forest** & \(\mathbf{-10.01}\) & \(\mathbf{-10.01}\) & \(\mathbf{-10.01}\) & \(\mathbf{-10.01}\) & \(\mathbf{-10.01}\) & \(\mathbf{-10.01}\) & \(\mathbf{-10.01}\) & \(\mathbf{-10.01}\) & \(\mathbf{-10.01}\) & \(\mathbf{-10.01}\) \\ \hline
10\% & **Lawn** & \(\mathbf{74.77}\) & \(\mathbf{29.17}\) & \(\mathbf{74.10}\) & \(\mathbf{74.16}\) & 202.85 & \(\mathbf{-297.50}\) & \(\mathbf{74.23}\) & \(\mathbf{73.92}\) & \(\mathbf{76.77}\) \\ \hline
10\% & **Avg.** & \(\mathbf{-9.23}\) & \(\mathbf{-0.91}\) & \(\mathbf{-1.80}\) & \(\mathbf{-2.66}\) & \(\mathbf{-4.48}\) & \(\mathbf{-11.79}\) & \(\mathbf{2.21}\) & \(\mathbf{1.03}\) & 0.90 \\ \hline
25\% & **Forest** & \(\mathbf{-25.01}\) & \(\mathbf{-25.01}\) & \(\mathbf{-25.01}\) & \(\mathbf{-25.01}\) & \(\mathbf{-25.01}\) & \(\mathbf{-25.01}\) & \(\mathbf{-25.01}\) & \(\mathbf{-25.01}\) & \(\mathbf{-25.01}\) \\ \hline
25\% & **Lawn** & \(\mathbf{187.06}\) & \(\mathbf{72.98}\) & \(\mathbf{185.37}\) & \(\mathbf{185.52}\) & \(507.42\) & \(\mathbf{-744.12}\) & \(\mathbf{185.71}\) & \(\mathbf{184.91}\) & \(\mathbf{192.06}\) \\ \hline
25\% & **Avg.** & \(\mathbf{-23.06}\) & \(\mathbf{-2.25}\) & \(\mathbf{-4.47}\) & \(\mathbf{-6.62}\) & \(\mathbf{-11.18}\) & \(\mathbf{-29.46}\) & \(\mathbf{5.55}\) & \(\mathbf{2.60}\) & 2.26 \\ \hline
50\% & **Forest** & \(\mathbf{-50.00}\) & \(\mathbf{-50.01}\) & \(\mathbf{-50.00}\) & \(\mathbf{-50.00}\) & \(\mathbf{-50.01}\) & \(\mathbf{-50.01}\) & \(\mathbf{-50.01}\) & \(\mathbf{-50.01}\) & \(\mathbf{-50.01}\) \\ \hline
50\% & **Lawn** & \(\mathbf{374.20}\) & \(\mathbf{146.00}\) & \(\mathbf{370.81}\) & \(\mathbf{371.12}\) & \(\mathbf{1015.06}\) & \(\mathbf{-1488.52}\) & \(\mathbf{371.49}\) & \(\mathbf{369.90}\) & \(\mathbf{384.19}\) \\ \hline
50\% & **Avg.** & \(\mathbf{-46.12}\) & \(\mathbf{-4.49}\) & \(\mathbf{-8.92}\) & \(\mathbf{-13.23}\) & \(\mathbf{-22.36}\) & \(\mathbf{-58.92}\) & \(\mathbf{11.11}\) & \(\mathbf{5.21}\) & 4.54 \\ \hline  & & & & & & & & & & \\ \hline \end{tabular}
\end{table} 
Table 4: _Cont._Figure 2: (**a–i**) Bar charts showing the percent change for 10, 25, and 50% land use changes in Lehigh Valley. Within each subgroup, the changes in the area are 10, 25, and 50%, respectively. From left to right, the categories are lawn to forest (L2F), impervious to forest (IZF), forest to lawn (F2L), and forest to impervious (F2I). Post hoc ANOVA testing is displayed, indicating which experiments are statistically different from each other in each category.