摘要
【目的】确定土地利用变化对江西省宁都县森林植被碳储量的影响,探讨土地利用类型间转换对森林植被碳储量影响的具体原因,以期为国土空间格局优化,政府主管部门碳汇林业经营决策、林业碳汇计量监测及应对气候变化响应等提供决策参考或科学依据。【方法】基于土地利用变化,利用江西省宁都县林地变更年度数据、应用马尔科夫转移矩阵对土地利用变化进行分析,采用生物量扩展因子法、单位面积生物量法估算因土地利用变化导致的森林植被碳储量变化,分析土地利用变化对森林植被碳储量的影响,并通过面积权重和单位面积森林植被碳储量变化进一步分析主要影响因子的具体原因。【结果】2017—2021年,宁都县土地利用类型之间的转换面积为26299.85 hm^(2),总体来看主要还是林业用地之间的转换,其中乔木林转出12968.15 hm^(2)、占49.31%,转入9968.21 hm^(2)、占37.9%,是变化最活跃的土地利用类型;土地利用类型变化引起的森林植被碳储量变化值+120429.46 Mg,表明森林植被碳储量是增加的;土地利用类型变化对森林植被碳储量影响排序前6的土地利用类型转换累计影响值达0.9015,是导致宁都县森林植被碳储量变化的主要影响因子,其排序为:无立木林地-乔木林(影响值0.3029)>乔木林-竹林(影响值0.2652)>灌木林-乔木林(影响值0.1025)>非林地-乔木林(影响值0.0980)>乔木林-非林地(影响值-0.0669)>乔木林-无立木林地(影响值-0.0660),无立木林地-乔木林影响值最大是面积变化和土地类型固碳能力变化双重作用的结果,乔木林-竹林、灌木林-乔木林对森林植被碳储量影响较大则是面积变化作用的结果,非林地-乔木林、乔木林-非林地、乔木林-无立木林地对森林植被碳储量影响较大则是土地利用类型固碳能力变化所致。【结论】2017—2021年,宁都县土地利用变化乔木林为变化最活�
[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 hm^(2).Overall,it was mainly the conversion between forestry lands.Among them,the arbor land was the most active land use type.12968.15 hm^(2) of arbor forest was transferred out,accounting for 49.31%,and 9968.21 hm^(2) 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.
作者
张邦文
金苏蓉
邵虹
欧阳勋志
罗璇
ZHANG Bangwen;JIN Surong;SHAO Hong;OUYANG Xun-zhi;LUO Xuan(Jiangxi Institute of Territorial Spatial Survey and Planning,Nanchang 330002,China;JiangxiForestry Resources Monitoring Center,Nanchang 330045,China;College of Forestry,Jiangxi AgriculturalUniversity,Nanchang 330045,China)
出处
《江西农业大学学报》
CAS
CSCD
北大核心
2023年第6期1454-1462,共9页
Acta Agriculturae Universitatis Jiangxiensis
基金
国家自然科学基金项目(32260392,31760207,31360181)。
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
land use change
forest vegetation carbon storage
annual change of forest land
Markov transfer matrix
