江西农业大学学报2023，Vol.45Issue(6)：1454-1462,9.DOI:10.13836/j.jjau.2023133
土地利用变化对森林植被碳储量的影响分析
Analysis of Impact of Land Use Change on Forest Vegetation Carbon Storage:A Case Study of Ningdu County in Jiangxi Province
摘要
Abstract
[Objective]This study aims to determine the impact of land use change on forest vegetation carbon storage in Ningdu County,Jiangxi Province,as well as explore the specific reasons for the impact of land use type conversion on forest vegetation carbon storage,in order to provide decision-making reference or scientific basis for the optimization of land spatial pattern,carbon sink forestry management decision-making,forestry carbon sink measurement monitoring and response to climate change.[Method]The annual data of forest land change in Ningdu County,Jiangxi Province were used to analyze the change of land use by using Markov transfer matrix.The biomass expansion factor method and the unit area biomass method were used to estimate the change of forest vegetation carbon storage caused by land use change.The main influencing factors were further analyzed by the area weight and the change of forest vegetation carbon storage per unit area.[Result]From 2017 to 2021,the conversion area between land use types in Ningdu County was 26299.85 hm2.Overall,it was mainly the conversion between forestry lands.Among them,the arbor land was the most active land use type.12968.15 hm2 of arbor forest was transferred out,accounting for 49.31%,and 9968.21 hm2 was transferred in,accounting for 37.9%.The change value of forest vegetation carbon storage caused by land use type change is +120429.46 Mg,which shows that forest vegetation carbon storage is increasing.The cumulative impact value of land use type conversion in the top 6 influence of land use type change on forest vegetation carbon storage is 0.9015,which is the main influencing factor leading to the change of forest vegetation carbon storage in the County.The ranking is no standing forest land-arbor forest(impact value 0.3029)>arbor forest-bamboo forest(impact value 0.2652)>shrub forest-arbor forest(impact value 0.1025)>non-forest land-arbor forest(impact value 0.0980)>arbor forest-non-forest land(impact value-0.0669)>arbor forest-no standing forest(impact value-0.0660).The highest influence value of non-standing forest land-arbor forest is due to the dual effect of area change and land type carbon sequestration capacity change.The influence of arbor forest-bamboo forest and shrub forest-arbor forest on forest vegetation carbon storage is the result of area change.The influence of non-forest land-arbor forest,arbor forest-non-forest land and arbor forest-non-standing forest land on forest vegetation carbon storage is caused by the change of land use type carbon sequestration capacity.[Conclusion]From 2017 to 2021,arbor forest was the most active land use typein Ningdu County.The change value of forest vegetation carbon storage caused by land use type change was +120429.46 Mg,which showed that the forest vegetation carbon storage was increased.The cumulative impact value of the six land use types conversion(non-standing forest land-arbor forest,arbor forest-bamboo forest,shrub forest-arbor forest,non-forest land-arbor forest,arbor forest-non-forest land,and arbor forest-non-standing forest land)reached 0.9015,which was the main influencing factor of forest vegetation carbon storage change in Ningdu County.Therefore,in order to optimize land space development and protection pattern,the implementation of ecological restoration strategy,the promotion of land greening,the promotion of intensive and economical use of forest land,and the implementation of forest resource protection are the main ways to increase the sink and reduce the source of forest ecosystem.关键词
土地利用变化/森林植被碳储量/林地年度变更/马尔科夫转移矩阵Key words
land use change/forest vegetation carbon storage/annual change of forest land/Markov transfer matrix分类
农业科技引用本文复制引用
张邦文,金苏蓉,邵虹,欧阳勋志,罗璇..土地利用变化对森林植被碳储量的影响分析[J].江西农业大学学报,2023,45(6):1454-1462,9.基金项目
国家自然科学基金项目(32260392,31760207,31360181) Project supported by National Nature Science Fundation of China(32260392,31760207,31360181) （32260392,31760207,31360181）
