黄龙山森林植被地上碳储量时空变化及驱动力

快速准确地估计植被地上碳储量及其动态变化，对评估森林固碳能力具有重要意义。以陕西省黄龙林区森林为研究对象，基于样地实测和卫星遥感数据，建立黄龙山林区植被地上碳储量模型，实现研究区2000-2021年长时间序列的森林植被地上碳储量的反演及时空分异研究。结果表明：（1）黄龙山森林植被地上碳储量平均值总体呈波动上升趋势，碳储量高于全省平均水平。（2）研究区东部、南部、中部及西北部是植被地上碳储量高值分布地区，且呈增加趋势；而东北部、西部和西南部植被地上碳储量较低，且呈减少趋势，研究区22年间森林植被地上部分固碳量增加，生产力提升。（3）年均温、年蒸散发量、年降水量和海拔是2000-2021年影响研究区森林植被地上碳储量空间分异主要因素；任意两个因子间的交互作用对黄龙山森林地上碳储量影响都大于单个因子，表明黄龙山森林植被地上碳储量在不同时间的空间分布受多种因素共同作用。年降水量对其空间分布影响逐渐减小，森林稳定性提高。研究在信息有限的基础上提出了快速估算地区植被地上碳储量的方法，了解了地区森林植被地上碳储量时空分异情况及其驱动因素，为掌握地区植被地上碳储量信息、评估森林固碳能力提供了重要依据。

Spatio-temporal variation and driving forces of forest vegetation aboveground carbon storage in Huanglong Mountain

It is of great significance for evaluating the aboveground carbon (AGC) storage of vegetation and their dynamics changes rapidly and accurately for assessing the carbon sequestration capacity of forests. This study took the forest in Huanglong Mountain of Shaanxi Province as the research object, based on the field measured data of the sample plot and satellite remote sensing data, and established a model of AGC stock of vegetation in Huanglong Mountain Forest District, so the long-term AGC storage model of forest vegetation in the study area was realized from 2000 to 2021. And the model realized the inversion of AGC of forest vegetation in the study area, and based on it, the spatio-temporal research of the AGC from 2000 to 2021 in the study area was carried out. The research results showed that:(1) the average AGC of forest vegetation in Huanglong Mountain had a fluctuating upward trend, and the carbon stock was higher than the average level of the whole province. (2) The eastern, southern, central and northwestern parts of the study area were the areas with high values of AGC and it showed an increasing trend, while the AGC of vegetation in the northeastern, western and southwestern parts of the study area was low, and showed a decreasing trend. The AGC of forest vegetation in the study area had increased in 22 years and the productivity had improved to a certain degree. (3) Annual average temperature, annual evapotranspiration, annual precipitation and elevation were the main factors affecting the spatial variation of AGC of forest vegetation in the study area from 2000 to 2021. The interaction between any two factors had a significant greater impact on the AGC of forest in Huanglong Mountain than the individual factor, which indicating that the spatial distribution of AGC of forest vegetation in Huanglong Mountain was affected by a combination of the factors in different time and space. The influence of annual precipitation on its spatial distribution was gradually decreased and the forest stability was improved during the research period. The study proposed a method for quickly estimating the AGC of regional vegetation on the basis of the limited information, and understood the spatial and temporal variation of the AGC in regional forest vegetation and its driving factors that affecting its change, which provided an important basis for grasping the information of AGC of regional vegetation and assessing the carbon sequestration capacity of forests.