Carbon Sequestration Capacity Groups

Marginal Lands (MLs) as detected by MaiL Project were classified in Carbon Sequestration Capacity (CSC) Groups. The methodology based on multicriteria GIS analysis with data including tree species maps (Brus et al., 2011), land cover maps (Malinowski, et al., 2020) and Aboveground Biomass maps (Spawn, Sullivan, Lark, &amp; Gibbs, 2020). The aim was to estimate potential suitable species for afforestation for each Marginal Land as well species’ Above Ground Biomass Carbon (AGBC) and proceed to classification into CSC groups.<br> In order to estimate CSC for MLs and classify in CSC groups, it is crucial to estimate potential suitable species for afforestation and their Aboveground Biomass Carbon. The MLs as calculated on Task 2.3 of MAIL project is the basemap, where the most frequent species from neighbor forested areas, both dominant 1 and 2 species, and species’ Aboveground Biomass Carbon values are assigned. Dominant 1 and 2 species of neighbor forested areas are adapted to the ecological and climatological conditions and therefore are considered to be the most suitable for afforestation projects. Through classification into CSC groups, we get a better understanding regarding the relative interconnections between groups and each one's potential trend.The frequency distribution of the formula’s results is presented in a histogram. Classification into CSC groups was done by manually defining classes ranges, in such a way so each class to cover approximately the same area across Europe, with the exception of higher and lower sequestration groups, Group A and Group E respectively. Group A represents higher sequestration MLs, covering 5% of Europe’s total MLs and on the other side Group E represents lower sequestration MLs covering 31% of Europe’s MLs.由MaiL项目识别得到的边际土地（Marginal Lands, MLs）已被划分为固碳能力（Carbon Sequestration Capacity, CSC）组别。本研究采用基于多准则地理信息系统（GIS）的分析方法，所用数据集涵盖树种分布图（Brus等，2011）、土地覆盖图（Malinowski等，2020）以及地上生物量分布图（Spawn、Sullivan、Lark及Gibbs，2020）。本研究旨在针对每一块边际土地估算适宜的潜在造林树种，同时测算各树种的地上生物量碳（Aboveground Biomass Carbon, AGBC），并据此将边际土地归入固碳能力组别。 为估算边际土地的固碳能力并完成固碳能力组别划分，首要任务是确定适配的潜在造林树种及其地上生物量碳。本研究以MaiL项目任务2.3中计算得到的边际土地作为基础底图，为其匹配邻近林区的第1、2优势树种以及对应树种的地上生物量碳数值。邻近林区的第1、2优势树种已适应当地生态与气候条件，因此被视为造林项目的最优适配树种。通过划分固碳能力组别，可更清晰地掌握各组别间的相对关联及各自的潜在发展趋势。公式计算结果的频率分布以直方图形式呈现。固碳能力组别的划分通过手动设定类别区间完成，确保除固碳能力最高的A组与最低的E组外，其余各组在欧洲全域的覆盖面积大致均等。其中，A组代表固碳能力最强的边际土地，占欧洲边际土地总面积的5%；E组则代表固碳能力最弱的边际土地，占比达31%。