## 3 Results and Discussion
### Sink Capacity: Modelling CO\({}_{2}\) Emissions and FCS  
Concerning the environmental effects on the sink side, the climate changes category shows results with a more important impact than all midpoint categories with 0.616 MtCO\({}_{2e}\)/y for scenario C1, 0.55 MtCO\({}_{2e}\)/y for scenario C2, and 0.052 MtCO\({}_{2e}\)/y for scenario C3 (Table 4 (b)). These numbers are significant because now there is information and data about the sources of CO\({}_{2}\) emissions at other time scales. The baseline of carbon (C) shows that JaP+TzP has a store from 1.5 to 158 tC/ha in different vegetation types (Table 3). The maximum carbon stored in vegetation (158 tC/ha) occurs in high evergreen lowland forest (HELF). These data represent the carbon maximum in scenarios of carbon fixing when all vegetation types have similar HELF conditions. Pompa-Garcia and Cigala-Rodriguez [70]  
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline \multicolumn{2}{c}{**Total Hydrocarbon Reserves \({}^{b}\) (M\({}_{\text{t}\text{o}\text{i}\text{e}\text{e}\text{e}\text{e}\text{e}  
identified an average carbon stock of 106.9 tC/ha in the rainforest of Mexico. The average CO\({}_{2}\) captured annually by the vegetation of each park was 870.0 tCO\({}_{2}\)/y in JaP (801 ha), and 969.4 tCO\({}_{2}\)/y in TzP (719 ha). Table 3 shows that the average carbon sequestration by the forests in the park was 1.9 tCO\({}_{2}\)/ha/y for TzP and 1.3 tCO\({}_{2}\)/ha/y for JaP. The two parks together had average carbon sequestration of 1.6 tCO\({}_{2}\)/ha/y; the world average is 0.73 \(\pm\) 0.37 tCO\({}_{2}\)/ha/y [50]. Table 7 shows the potential FCS for four scenarios of CO\({}_{2}\) mitigation. Levels of (a) 10%, (b) 30%, (c) 50%, and (d) 100% for the CHP plant regarding the projected forest land (left), parks (right), or sink capacity required to mitigate such emissions were estimated. As we can see, to achieve 100% CO\({}_{2}\) mitigation, the base case (C1) required 509,766 ha or equivalent to 277.1 JaP+TzP to carry out FCS. In contrast, the C3 which, from a technological point of view, is the option with fewer emissions considering the PCC (see Figure 2c), requires 41,525.8 ha and only 22.6 parks, equivalent to a reduction in the area of the natural sink of 92% for C1. Our data show a strict relation between funds (forest land) and flow (CO\({}_{2}\) emissions). The specific spatial area in Figure 4 is shown. The GIS data show the area around the CHP plant for each mitigation percentage scenario for C1, C2, and C3, which summarizes the fund-flow ratio (ha/tCO\({}_{2e}\)) (see Table 1). That is, the ecological fund mitigates the CO\({}_{2}\) emissions of the CHP plant. C1 is a business scenario. The spatial modeling for the four scenarios was integrated into Figure 4. \begin{table}
\begin{tabular}{c c c c c c c} \hline \multirow{2}{*}{**Scenario (Mitigation)**} & **C1 (Baseline)** & **C2** & **C3** & **C1 (Baseline)** & **C2** & **C3** \\ \cline{2-7}  & \multicolumn{3}{c}{**Forest Land [ha]**} & \multicolumn{3}{c}{**Num. of Parks (Tz-Ja) as Conservation Areas**} \\ \hline
10\% & 509,65 & 45,476 & 4152 & 27.7 & 24.7 & 2.3 \\
30\% & 152,895 & 136,428 & 12,456 & 83.1 & 74.2 & 6.8 \\
50\% & 254,825 & 227,381 & 20,760 & 138.5 & 123.6 & 11.3 \\
100\% & 509,651 & 454,762 & 41,522 & 277.1 & 247.2 & 22.6 \\ CO\({}_{2e}\) emissions [t] & 616,766 & 550,342 & 50,249 & & & \\ \hline \end{tabular}
\end{table} 
Table 7: Potential FCS (tCO\({}_{2}\)/ha) for four sceneries and area projected (left), and its equivalent area to the number of parks (right) necessary to mitigate CHP plant emissions scaled to one year. Figure 4: Summary of spatial modeling of the fund–flow ratio (ha/tCO\({}_{2e}\)) showing the capacity to sequester carbon in the forest ecosystem in the southeast of Veracruz State of Mexico, based on CO2 FIX-GIS for C1 (brown line), C2 (pink line) and C3 (blue line) and four mitigation sceneries (based Figure 2a–c, and Table 6). The buffers refer to spatially explicit modeling to show the impact on land area in each case.