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克拉玛依市土地利用景观格局演变的碳排放变化.
- Source :
-
Southwest China Journal of Agricultural Sciences . 2024, Vol. 37 Issue 4, p852-859. 8p. - Publication Year :
- 2024
-
Abstract
- [Objective] The evolution characteristics and correlation degree of landscape pattern and carbon source/carbon sink in Karamay city were studied in order to provide reference for regional low-carbon development and adjustment of land use and optimization of land man- agement. (Method) Based on the remote sensing image data of Karamay city from 1995 to 2021, the paper uses Frastate4. 2 software to calculate the landscape pattern index, uses the carbon emission coefficient method to estimate the carbon source/carbon sink of land use, and uses the grey correlation model to measure the correlation between the two. [Result] (i) From 1995 to 2021, the landscape fragmentation of Kara- may city showed an upward trend, the largest patch type decreased continuously, the patch distance was dispersed, the landscape distribution was complicated, the segmentation degree was gradually serious, the landscape diversity changed from single to complex, and the landscape types tended to be diversified. (ii) From 1995 to 2021, the carbon source/carbon sink of Karamay city showed an upward trend. Because the amount of carbon source was significantly greater than the amount of carbon sink, Karamay city was finally the carbon source area and the net carbon emissions increased year by year. (iii) The increase of carbon emissions in Karamay city was closely related to the gradual seriousness of landscape segmentation in the study area, the complexity of landscape distribution, the dispersion of patch distance in the landscape and the continuous decrease of the largest patch area. [Conclusion] The landscape pattern of landscape level and patch type level in Karamay city is closely related to carbon emissions, and each landscape pattern index is the main factor affecting the change of carbon emissions. [ABSTRACT FROM AUTHOR]
Details
- Language :
- Chinese
- ISSN :
- 10014829
- Volume :
- 37
- Issue :
- 4
- Database :
- Academic Search Index
- Journal :
- Southwest China Journal of Agricultural Sciences
- Publication Type :
- Academic Journal
- Accession number :
- 177823271
- Full Text :
- https://doi.org/10.16213/j.cnki.scjas.2024.4.019