唐山市碳储量时空分布与驱动机制分析

Analysis of Spatiotemporal Distribution and Driving Factors of Carbon Storage in Tangshan City

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DOI 10.3969/j.issn.2095-7300.2025.02.005
刊名
Journal of Hunan Ecological Science
年,卷(期) 2025, 12(2)
作者
作者单位

华北理工大学矿业工程学院,河北唐山

摘要
【目的】量化河北省唐山市土地利用变化对碳储量的影响,并识别其主要驱动因子,为城市土地利用优化、碳汇提升及实现“双碳”目标提供科学依据。【方法】采用2012年、2017年、2022年3期土地利用数据,基于生态系统服务和权衡的综合评估模型(Integratedvaluationofecosystemservicesandtrade-offs,InVEST)测算碳储量,并结合地理探测器解析自然环境因素及部分社会经济变量(如人口、夜间灯光)对碳储量时空分异的影响。【结果】2012年至2022年唐山市碳储量持续减少,累计减少3.88Tg,其中由耕地转为建设用地减少的碳储量达到3.55Tg,在引起碳储量减少的土地利用变化中占比最高。土地利用变化是碳储量下降的主要原因,2012年至2022年大量林地转为耕地,碳储能力减弱,单位面积碳储量减少,使得唐山市整体表现为碳源;虽然水域转换为建设用地增加了部分碳储量,但仍未能弥补碳排放的缺口。地理探测结果表明,2012年、2017年、2022年3期的碳储量时空分异主要驱动因子为细颗粒物(Particulatematter2.5,PM2.5)、可吸入颗粒物(Particulatematter10,PM10)和气温;人口和二氧化碳解释力稍弱。【结论】土地利用格局会影响碳储量的变化,唐山市林地和耕地向建设用地的大规模转化引起碳储量持续下降,呈现明显的“北高南低”空间分布特征;碳储量受城市化和自然环境的双重影响,PM2.5、PM10和气温为主要驱动因素;优化土地利用格局、控制建设用地扩张是提升区域碳汇能力的关键路径。
Abstract
【Objective】To quantify the impact of land use change on carbon storage in Tangshan City, identify its main driving factors, and provide scientific basis for urban land use optimization, carbon sink enhancement, and the achievement of “ dual carbon” goals. 【Method】Three periods of land use data from 2012, 2017, and 2022 were used to calculate carbon storage based on the model of Integrated Valuation of Ecosystem Services and Trade-offs (InVEST), and combined with geographic detectors to analyze the impact of natural factors and some socio-economic variables ( such as population and nighttime lighting) on the spatiotemporal differentiation of carbon storage. 【Result】From 2012 to 2022, the carbon storage in Tangshan City continued to decrease, with a cumulative decrease of 3. 88 Tg. Among them, the reduction in carbon storage from cultivated land to construction land reached 3. 55 Tg, accounting for the highest proportion of land use changes that caused carbon storage reduction. Land use change was the main reason for the decline in carbon storage. Over the past 10 years, a large amount of forest land had been converted to arable land, resulting in a weakened carbon storage capacity and a de- crease in carbon storage per unit area, making Tangshan City an overall carbon source; although the con- version of water bodies into construction land increased some carbon storage, it had not yet filled the gap in carbon emissions. The geographical detection results indicated that the main driving factors for the spa- tiotemporal differentiation of carbon storage in the three periods are PM2. 5, PM10, and temperature; the explanatory power of population and carbon dioxide was slightly weaker. 【Conclusion】The land use pat- tern will affect the changes in carbon storage. The large-scale conversion of forest and cultivated land to construction land in Tangshan City has led to a continuous decline in carbon storage, showing a clear spa- tial distribution characteristic of “high in the north and low in the south”; carbon storage is influenced by both urbanization and the natural environment, with PM2. 5, PM10, and temperature being the main driv- ing factors; optimizing land use patterns and controlling the expansion of construction land are key paths to enhancing regional carbon sequestration capacity.
关键词
生态系统服务和权衡的综合评估模型;碳储量;土地利用变化;城市化;驱动因素
KeyWord
Integrated Valuation of Ecosystem Services and Trade-offs (InVEST); carbon storage; land use change; urbanization; driving factors
基金项目
页码 38-50
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刘亚静*,张新莲. 唐山市碳储量时空分布与驱动机制分析 [J]. 湖南生态科学学报. 2025; 12; (2). 38 - 50.

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