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Study on the Ecological Forest Sustainable Management in Shunchang County Based on Ecological Fragility

Author: ZhengShaoMing
Tutor: LiuJian；YeShiJian
School: Fujian Agriculture and Forestry University
Course: Forestry
Keywords: Ecological forest Ecological fragility Sustainable Optimal adjustment 3S technology
CLC: S757.1
Type: Master's thesis
Year: 2010
Downloads: 51
Quote: 1
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Abstract

The Fujian Shunchang County ecological forest study, the use of remote sensing images of the study area and field survey data extraction ecological forest thematic information, through the the USLE equation of improved small classes of soil erosion, ecological forest area of ??potential ecological vulnerability analysis of the relationship between the potential vulnerability of soil erosion and vegetation cover, according to the characteristics of the different ecological niches for the location for the the general ecological forest stand structure the optimal adjustment technology, and based on the principle of landscape ecology, evaluation and analysis of the optimal adjustment of stand structure reasonable period of ecological forest sustainable management provide a theoretical reference, promote ecological forest science of forest management, play the ecological, economic and social benefits of ecological forest. The main conclusions of the study are: (1) study the hierarchical classification-based thinking, the use of object-oriented classification method, the use of Full Lambda-Schedule segmentation algorithm, and then merge the formation of multiple objects in order to achieve the best segmentation of image information extraction scale, a better solution the conventional thematic information extracted \The accuracy validation results show that: fir forest 90%, masson pine forest 88%, mixed forest 90%, 94% bamboo forest, broadleaf forest 90%, the overall accuracy of 94.50%. (2) through the establishment of vegetation cover factor normalized difference vegetation index (NDVI) inversion model, the relative error of the estimate is the average of 0.1829, with an overall accuracy of 81.71%. Use of relevant supporting information, in accordance with the improved Chinese ULSE soil erosion equation to achieve the inversion of soil erosion Shunchang County, studies have shown that, the Shunchang county soil erosion is generally good. (3) by a factor of selected data filtering using correlation analysis, the selected slope, soil erodibility and rainfall erosivity factor for potential ecological vulnerability factors reflect the study area, the use of principal component analysis to determine the weight of each index, the terrain for the vulnerability of the region's potential ecological impact weight reached 0.5. On this basis, the Composite Index, vulnerability determination of the potential ecological ecological forest area in the study area. The results show that, Shunchang County overall potential ecological fragility in the middle level of vulnerability, but the of Shunchang County's potential ecological forest ecological vulnerability overall, reflecting the importance of the ecological niche of the Ecological Forest Division. (4) through the regional vegetation cover, soil erosion and the potential ecological vulnerability among study found that, in a high degree of coverage, potential areas of high vulnerability, soil erosion is not obvious; potential vulnerability lower overall low vegetation coverage area, soil erosion but is particularly serious, the overall analysis showed that the vegetation cover for the stability of the region's ecological fragility has an important role, especially the potential ecological vulnerability upper region should strengthen regional vegetation coverage to promote the stability of the regional ecosystem. (5) of Shunchang County's ecological sensitivity evaluation, and based on the results of the evaluation and regional ecological forest sustainable management of the forest stand structure optimization of management measures, and landscape ecology analysis indicators, based on ecological theory, the optimization of the use of remote sensing image simulation results with the current situation of ecological forest in 2008 were compared, the results show that the optimized Shannon diversity index increased 0.07, fragmentation index fell 0.19, only 0.08, on the whole Regional Ecological Forest Stand structure show that the optimization to the reasonableness of the direction of development.

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CLC: > Agricultural Sciences > Forestry > Forest management,forest measurement science, forest management > Forest Management > Basic theory,principles,
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