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Spatiotemporal changes and driving forces of carbon storage in the forest-agricultural interlacing zone of Greater Khingan Mountains using PLUS-InVEST model
Transactions of the Chinese Society of Agricultural Engineering 2024, 40(21): 232-241
Published: 15 November 2024
Abstract PDF (1.9 MB) Collect
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This study aims to analyze the spatiotemporal land-use patterns in the forest-farmland ecotone of ecologically sensitive areas, together with their effects on carbon storage. Effective approaches were proposed to enhance carbon sequestration. The PLUS-InVEST model was also utilized along with the Geodetector. A systematic investigation was implemented to assess the impacts of spatiotemporal land-use patterns from 1990 to 2030 on the carbon storage of terrestrial ecosystems in the forest-farmland ecotone of the Greater Khingan Mountains. Additionally, the driving factors were determined responsible for the changes in carbon storage. The results were summarized as follows:1) The land-use types that experienced the largest area of transition were forests, grasslands, and croplands between 1990 and 2020. Notably, the highest conversion rates were observed in bare land (75.00%), water bodies (61.33%), and impervious surfaces (61.15%). The forest and grassland areas were expected to significantly increase under natural conservation and ecological protection scenarios by 2030. Furthermore, the areas of cropland and grassland were projected to increase under the cropland protection scenario, while the forest areas decreased greatly. The area of cropland declined in the urban development scenario, due to the urban expansion and land-use changes. 2) The total carbon storage in the study area exhibited a general downward trend, decreasing by 6.08×107 t over the past two decades. The largest decrease in carbon storage occurred in forests, followed by grasslands and croplands. In contrast, there was the increasing carbon storage in the impervious surfaces. The carbon storage in 2020 was compared to the projections for 2030. The total carbon storage for 2030 was projected as 1.555×109, 1.562×109, 1.562×109, and 1.561×109 t, respectively, under the four scenarios of cultivated land protection, natural development, ecological protection, urban development, respectively. All scenarios indicated an increase in the total carbon storage, except for the cropland protection. Different scenarios of land-use management varied greatly in the potential of overall carbon sequestration at regional. Natural conservation and ecological protection share the most promise to increase carbon storage. 3) The elevation, population density, and slope were identified as the primary driving factors behind the spatial differentiation of carbon storage in the study area. Among them, there was the most significant interaction between slope and population density, with an interaction strength of 0.74. There was a much stronger impact of multiple driving factors on carbon storage, compared with any single factor. Multi-factorial approaches were also required to analyze the spatial dynamics of carbon storage. Therefore, the carbon dynamics of the ecosystem depended mainly on the land-use transitions in the ecotonal regions, like forest-farmland interfaces. The important implications were gained to develop the data-driven strategies of land management. Carbon sinks were also optimized to support biodiversity conservation. Overall, the significant role of targeted interventions was highlighted for the land-use changes in carbon storage and sequestration at regional scales. The findings can greatly contribute to ecosystem management and climate adaptation in the Greater Khingan Mountains.

Issue
Study on the tree competition of natural of Larix gmelinii forest
Journal of Central South University of Forestry & Technology 2024, 44(2): 129-137
Published: 25 February 2024
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Downloads:11
Objective

Larix gmelinii is a dominant tree species in the cold temperate zone of China. Based on different competition indexes, its competition research is carried out to provide certain basis for the sustainable management of natural forest.

Method

Using the four-neighbor method and the Voronoi diagram method to determine the competition tree around each object tree and its nearest neighbor. Hegyi simple competition index and comprehensive competition index were calculated based on simple competition index. The Kendall correlation, Spearman correlation and curve fitting methods were used to compare the advantages and disadvantages of simple and comprehensive competition indices containing multiple forest factors, and to explore the applicability of the Voronoi diagram method in natural forests of L. gmelinii.

Result

1) In the fitting of the competition index with three tree factors (diameter at breast height, tree height, and crown width), the simple and comprehensive competition index showed a very significant negative correlation with their fitting (P < 0.01); 2) On the premise of the same method for determining competition units, the fitting degree between the simple competition index and the basic factors of various trees was lower than the fitting degree of the comprehensive competition index; 3) The fitting degree of the comprehensive competition index and simple competition index constructed by the Voronoi diagram method with the basic factors of trees was better than that of the traditional four neighbor method.

Conclusion

After comparing four competition indices, the comprehensive competition index based on the Voronoi diagram method is the best. This competition index has the best fit with various forest factors and is more suitable for the study of forest competition in this natural forest. Necessary nurturing and management measures can be implemented before the individual diameter at breast height of the forest reaches 20 cm, the tree height and crown width reach 20 m and 6 m respectively. The research results can provide a reference basis for the rational management and protection measures of L. gmelinii in the future.

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