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陕西省生态系统固碳量与固碳价值的测度及其时空格局演变

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生态系统固碳功能强大,是实现碳中和最重要的途径之一.论文从土地利用视角,运用固碳速率法分别对2000年和2020年陕西省县域森林、草地和湿地生态系统固碳量及固碳价值进行估算,并采用空间统计分析方法揭示其时空演变特征.结果表明:1)2000-2020年陕西省森林、草地和湿地生态系统固碳量均实现了不同程度的增长,其中森林固碳量增长最为显著,是对陕西省生态系统固碳增量贡献最大的类型;2)陕西省县域森林、草地的固碳量分布具有显著的空间集聚特征,森林固碳热点区集中在秦岭山区,草地固碳热点区集中在陕北长城沿线风沙区,冷点区都集中在关中平原中部地区;3)陕南秦巴山区是陕西省固碳能力最强的区域,而陕北黄土丘陵沟壑区则是固碳量增加最多的区域,各地级市中除西安市固碳能力下降外,其余城市固碳量均实现了增加,其中延安和榆林是增长最快的两个城市;4)陕西省生态系统固碳价值最高的前5位城市依次是汉中、延安、安康、宝鸡和商洛,总计占全省固碳价值总量的78.33%.
MEASUREMENT AND TEMPORAL-SPATIAL PATTERN EVOLUTION OF CARBON SEQUESTRATION AND VALUES OF SHAANXI'S ECO-SYSTEM
Functional carbon sequestration of eco-system is one of key ways to carbon neutralization.This paper,from perspective of land use,uses carbon sequestration rating to estimate the 2000 and 2020 carbon sequestration and values of Shaanxi's county-level forest,grasslands and wetlands ecosystems,and applies spatial statistics to reveal its temporal-spatial evolution.During 2000 to 2020,their carbon sequestration has increased at different levels,of which forest increased the most as the biggest contributor to Shaanxi's eco-system.Carbon sequestration of Shaanxi's county-level forests and grasslands is of outstandingly spatial clustering,carbon sequestration hotspots of forests are concentrating in Qinling mountainous area,that of grasslands in northern Shaanxi's Great Wall Windy & Sandy Area,cold spots are all concentrating in Guanzhong plain.Southern Shaanxi's Qinba mountainous area has the most capability in carbon sequestration,while northern Shaanxi's loess hilly valley has the biggest increment.All cities have increased their carbon sequestration except Xi'an,Yan'an and Yulin are the top two in growth.The top 5 cities in carbon sequestration values in Shaanxi's eco-system are Hanzhong,Yan'an,Ankang,Baoji and Shangluo,amounting to 78.33%of the entire province.

eco-systemcarbon sequestrationcarbon sinkShaanxi province

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长安大学 土地工程学院 陕西 西安 710054

陕西省土地整治重点实验室 陕西 西安 710054

生态系统 固碳 碳汇 陕西省

陕西省重点研发计划项目中央高校基本科研业务费专项

211435220242300102352203

2024

资源与产业
中国地质大学(北京) 中国地质调查局 国土资源部人力资源开发中心

资源与产业

CSTPCDCHSSCD
影响因子:1.097
ISSN:1673-2464
年,卷(期):2024.26(1)
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