Abstract
Achieving carbon neutrality is a necessary effort to rid humanity of a catastrophic climate and is a goal for China in the future. Ecological space plays an important role in the realization of carbon neutrality, but the relationship between the structure of vegetation ecological space and vegetation carbon sequestration capacity has been the focus of research. In this study, we extracted the base data from MODIS products and other remote sensing products, and then combined them with the MCR model to construct a vegetation ecospatial network in the Yellow River Basin in 2018. Afterward, we calculated the topological indicators of ecological nodes in the network and analyzed the relationship between the carbon sequestration capacity (net biome productivity) of ecological nodes and these topological indicators in combination with the Biome-BGC model. The results showed that there was a negative linear correlation between the betweenness centrality of forest nodes and their carbon sequestration capacity in the Yellow River Basin (p < 0.05, R2 = 0.59). On the other hand, there was a positive linear correlation between the clustering coefficient of grassland nodes and their carbon sequestration capacity (p < 0.01, R2 = 0.49). In addition, we briefly evaluated the vegetation ecospatial network in the Yellow River BASIN and suggested its optimization direction under the background of carbon neutrality in the future. Increasing the carbon sequestration capacity of vegetation through the construction of national ecological projects is one of the ways to achieve carbon neutrality, and this study provides a reference for the planning of future national ecological projects in the Yellow River Basin. Furthermore, this is also a case study of the application of remote sensing in vegetation carbon budgeting.
Highlights
nodes and the carbon sequestration capacity (NBP) was selected as the output of the Biome-BGC model in order to explore the relationship between the topological characteristics of vegetation and its net carbon sequestration capacity in the YRB
The NPP results were white in the northwestern region of the YRB because the NPP products of MODIS were filled with invalid values in these areas
The DEM and slope results of the YRB show that the western region of the Yellow River Basin was at a higher elevation than the other regions, and the topography in the west was more complex than the other regions
Summary
It is important to explore the factors influencing the spatial variability of vegetation carbon sequestration capacity (productivity) at the landscape scale for the future planning of the construction of national ecological projects. We selected the Yellow River Basin as the study area in expectation of providing a reference for the construction of national ecological projects in the Yellow River Basin by exploring the relationship between the topological characteristics of vegetation and its carbon sequestration capacity. We used a variety of remote sensing data and the MCR model to construct the vegetation ecospatial network of the Yellow River Basin in 2018 and calculated multiple topological indicators of vegetation nodes. Most of the data required to construct the vegetation ecospatial network in this study were obtained from a variety of remote sensing products. This study is a case study of the application of remote sensing in the vegetation carbon budge
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