Patterns of land use change, land governance, and the supply of ecosystem services in a multifunctional landscape: A case study from Upstate SC, USA

The terrestrial ecosystem carbon sink serves as a crucial metric in gauging the carbon sequestration capabilities of ecosystems, forming an intricate bond with the dynamics of land use change.The Sloping Land Conversion Program (SLCP) has caused significant changes in regional land use patterns and has significantly impacted terrestrial ecosystem carbon sinks. By analysing the impacts of the SLCP on the carbon sink effect in Shaanxi Province and revealing the spatial and temporal heterogeneity of the regional carbon sink effect, it is of great significance to consolidate the results of SLCP and to clarify the target areas for quality enhancement and sink enhancement of the SLCP. In this paper, based on the panel data of Shaanxi Province from 1992 to 2020, we used the PSM-DID model to analyze the influence of the carbon sink effect of the SLCP and analyze the heterogeneity of the carbon sink effect of the SLCP in Shaanxi Province. We found that the carbon sink effect of the SLCP was significantly positive without excluding other factors, increasing the vegetation carbon sink by 20.20% and the vegetation cover by 46.21%, respectively; after excluding the influence of other factors, the effect of the SLCP on the vegetation carbon sink and the vegetation cover was significantly enhanced, increasing the vegetation carbon sink by 21.42% and the vegetation cover by 53.51%, respectively. Meanwhile, the results of spatial heterogeneity showed that the effect of the SLCP on carbon sinks was most evident in Northern Shaanxi, followed by Southern Shaanxi and Central Shaanxi; the results of temporal heterogeneity showed that the effect of the SLCP on carbon sinks at each stage was significantly positive, and then the positive effect decreased with the change of time, but it was still statistically significant.

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Populated anthromes: from exploratory analysis of demographic data to mapping

Gobbo,

Araujo,

Salema

2024

Preprint

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This research, developed in R software, sought to analyze Brazilian population data as a source for the construction of regional mapping of anthropogenic biomes, with an eye to its application in national territorial management. Following the guidelines of global mapping of anthromes, the stages of exploratory analysis, mining, merging and plotting of census data were carried out to recognize and identify relevant characteristics of population groups for the construction of the mapping of Brazilian populated anthromes. Sequentially, static and interactive mappings were constructed to verify the spatialization of census information in the maps. In addition, validation and uncertainty studies of the mappings were produced to confirm the quality of the products generated in this research. Given the results obtained, it was found that the regional mapping of populated anthromes significantly approximated the population information to the local reality, compared to the global mapping of terrestrial anthromes. It was also found that the data source analyzed provided sufficient information for the distribution of the population in the mapping of populated anthromes, characterizing and specializing it according to the original data. Furthermore, the statistical analyses proved that the modeling used in this investigation generated relevant results that ensured the quality of the mapping. Thus, it was proven that the data used and the modeling were suitable for future use in constructing the regional mapping of Brazilian anthromes. In addition, an analytical format was established that can be replicated in different territorial contexts that aim to apply anthrome modeling in territorial management.

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Patterns of land use change, land governance, and the supply of ecosystem services in a multifunctional landscape: A case study from Upstate SC, USA

Cited by 4 publications

References 31 publications

Dividing Ecological units of Rural Landscape Based on Clustering Algorithm

Dividing Ecological units of Rural Landscape Based on Clustering Algorithm

The effect of Sloping Land Conversion Program on regional carbon sinks—Empirical analysis based on PSM-DID

Populated anthromes: from exploratory analysis of demographic data to mapping

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