Datasets for forests-3392325

<b>Metadata Description</b>：<b>(1) Carbon sequestration supply (NEP)</b>The Carbon Sequestration Supply (NEP) data is produced based on the Carnegie-Ames-Stanford approach (CASA) model and Net Ecosystem Productivity (NEP) model, with a spatial resolution of 100 meters. The data content includes NEP datasets from Hainan Island, China in the years 2000, 2005, 2010, 2015 and 2020.<b>(2) Carbon sequestration demand (CSD)</b>The Carbon sequestration demand data is produced based on the emission factor assessment methods using energy consumption and population density, with a spatial resolution of 100 meters. The data content includes CSD datasets from Hainan Island, China in the years 2000, 2005, 2010, 2015 and 2020.<b>(3) Spatial linked characteristics based on gravitational force</b>To understand the degree of correlation and the extent of spatial correlation between the region's carbon sequestration supply and demand, we introduce the concept of regional supply and demand gravity. A higher gravitational force between two locations indicates that the transport corridor connecting them facilitates a greater flow of sequestered carbon streams, signifying its heightened importance.

元数据描述：(1) 固碳供给（净生态系统生产力，Net Ecosystem Productivity, NEP）：该固碳供给（NEP）数据集基于卡内基-埃姆斯-斯坦福方法（Carnegie-Ames-Stanford approach, CASA）与净生态系统生产力模型生成，空间分辨率为100米，包含中国海南岛2000、2005、2010、2015及2020年的NEP数据集。(2) 固碳需求（Carbon Sequestration Demand, CSD）：该固碳需求数据集基于结合能耗与人口密度的排放因子评估方法生成，空间分辨率为100米，包含中国海南岛2000、2005、2010、2015及2020年的CSD数据集。(3) 基于引力的空间关联特征：为明晰区域固碳供需间的关联程度与空间关联范围，引入区域供需引力概念。两地间引力值越高，代表连接二者的碳传输通道可承载的固碳通量越大，其重要性也愈发凸显。