Brazil must restore 12 million hectares of degraded areas by 2030 to meet its goal of the Paris Global Climate Agreement (PGCA). In view of this, the development of mixed planting projects related to carbon-offset in degraded areas is increasing, which demonstrates environmental and social responsibility of corporate and governmental organizations. Despite the great potential of mixed restoration plantations to mitigate climate change, Brazil must overcome major challenges in achieving the ratified goals of the PGCA as well as the effectiveness of its carbon-offset projects. In this context, this study has focused on the evaluation of the growth and survival of tree species in a carbon-offset plantation from a degraded area in southeastern Brazil. Five-hundred-and-nine seedlings (15 forest species) were planted in a completely randomized design. Diameter at the soil level and height of individuals were measured at 40 months. Three individuals of each species were selected and was scaling by a non-destructive method. Timber volume was estimated from the sum of the volume of the sections of the individuals, obtained by the Smalian formula. The average annual carbon increment of the individuals was estimated by the equation adjusted from the Schumacher & Hall model. The potential of carbon-offset of the tested plants was evaluated from the SP and μC analysis. The REML (Restricted Maximum Likelihood)/BLUP (Best Linear Unbiased Prediction) method was used to predict μC values for species ordering with carbon -offset potential. Survival was 47.54% at 40 months. The carbon stock of the planting was 2.60 ± 6.2 Kg C individual⁻¹, and the average annual increase in carbon (AAIC) was 0.78 Kg C individual⁻¹year⁻¹. The AAIC value was lower than the average value stipulated for carbon-offset projects (6.0 Kg CO₂ individual⁻¹ year⁻¹). Pioneer species contributed more to carbon storage than non-pioneer species.

为了实现《巴黎全球气候协定》（PGCA）的目标，巴西必须在2030年之前恢复1200万公顷的退化地区。有鉴于此，与退化地区碳补偿有关的混合种植项目的开发正在增加，这表明了公司和政府组织的环境和社会责任。尽管混合恢复人工林具有缓解气候变化的巨大潜力，但巴西必须克服主要挑战，以实现已批准的PGCA目标及其碳补偿项目的有效性。在这种情况下，这项研究集中于评估巴西东南部退化地区碳补偿种植园中树木物种的生长和存活。按照完全随机的设计种植了五百零九种幼苗（15种森林树种）。在40个月时测量土壤水平和个体高度的直径。选择每种物种的三个个体，并通过非破坏性方法进行缩放。木材的体积是根据通过Smalian公式得出的个体截面的体积之和估算得出的。通过舒马赫与霍尔模型调整后的方程式估算出个体的平均年碳增量。通过SP和μC分析评估了被测植物的碳抵消潜力。使用REML（限制性最大似然性）/ BLUP（最佳线性无偏预测）方法来预测μC值，以利用碳补偿电位对物种进行排序。在40个月时存活率为47.54％。种植的碳储量为2.60±6.2 Kg C 选择每种物种的三个个体，并通过非破坏性方法进行缩放。从通过Smalian公式获得的各个部分的体积之和估算木材体积。通过舒马赫与霍尔模型调整后的方程，可以估算出个体的年均碳增量。通过SP和μC分析评估了被测植物的碳抵消潜力。使用REML（限制性最大似然性）/ BLUP（最佳线性无偏预测）方法来预测μC值，以利用碳补偿电位对物种进行排序。在40个月时存活率为47.54％。种植的碳储量为2.60±6.2 Kg C 选择每种物种的三个个体，并通过非破坏性方法进行缩放。木材的体积是根据通过Smalian公式得出的个体截面的体积之和估算得出的。通过舒马赫与霍尔模型调整后的方程，可以估算出个体的年均碳增量。通过SP和μC分析评估了被测植物的碳抵消潜力。使用REML（限制性最大似然性）/ BLUP（最佳线性无偏预测）方法来预测μC值，以利用碳补偿电位对物种进行排序。40个月生存率是47.54％。种植的碳储量为2.60±6.2 Kg C 通过Smalian公式获得。通过舒马赫与霍尔模型调整后的方程，可以估算出个体的年均碳增量。通过SP和μC分析评估了被测植物的碳抵消潜力。REML（限制性最大似然性）/ BLUP（最佳线性无偏预测）方法用于预测碳补偿势下物种排序的μC值。在40个月时存活率为47.54％。种植的碳储量为2.60±6.2 Kg C 通过Smalian公式获得。通过舒马赫与霍尔模型调整后的方程，可以估算出个体的年均碳增量。通过SP和μC分析评估了被测植物的碳抵消潜力。REML（限制性最大似然性）/ BLUP（最佳线性无偏预测）方法用于预测碳补偿势下物种排序的μC值。在40个月时存活率为47.54％。种植的碳储量为2.60±6.2 Kg C REML（限制性最大似然性）/ BLUP（最佳线性无偏预测）方法用于预测碳补偿势下物种排序的μC值。在40个月时存活率为47.54％。种植的碳储量为2.60±6.2 Kg C REML（限制性最大似然性）/ BLUP（最佳线性无偏预测）方法用于预测碳补偿势下物种排序的μC值。在40个月时存活率为47.54％。种植的碳储量为2.60±6.2 Kg C^-1，而碳的平均年增加量（AAIC）为0.78 Kg C个人- ¹年^-1。AAIC值低于碳补偿项目规定的平均值（6.0 Kg CO ₂个人- ¹年^-1）。先锋物种比非先锋物种对碳储存的贡献更大。