首页|广州市土地利用变化与碳储量模拟——基于PLUS-InVEST模型分析

广州市土地利用变化与碳储量模拟——基于PLUS-InVEST模型分析

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快速的工业化和城市化极大影响了城市生态系统的碳固存能力,基于此背景,文章以广州市为研究对象,利用 2000-2020 年的土地利用数据,耦合PLUS-InVEST模型,分析土地利用和碳储量的时空变化,探究不同城乡梯度下碳储量的影响因素;设定 3 种不同的发展情景模拟预测不同情景下的土地利用变化和碳储量空间格局演变.结果表明:1)2000-2010 年广州市碳储量流失较为严重,2010-2020 年下降速度有所减缓,林地和耕地向建设用地的转化是碳储量下降的关键原因;2)在城区、市郊、市域3 种城乡梯度下,NDVI、DEM、坡度、年均蒸发量、年均降水量和土壤含水量均与碳储量正相关,年均气温、夜间灯光指数、GDP和路网密度均与碳储量负相关;3)2030 年,3 种情景下碳储量均呈下降趋势,其中综合发展情景下碳储量下降程度最小,在空间上 3 种情景总体呈现"北高南低"的分布特征.研究结果有助于优化土地资源紧张的城市生态系统碳循环,促进区域的可持续发展.
Simulation of Land Use Change and Carbon Storage in Guangzhou Based on the PLUS-InVEST Model
Rapid industrialization and urbanization have significant impacts on the carbon sequestration capacity of urban ecosystems.With the land use data from 2000 to 2020 in Guangzhou City,the temporal and spatial changes in land use and carbon storage are analyzed by coupling with the PLUS-InVEST model to explore the influencing factors to carbon sequestration in different urban-rural gradients.Three development scenarios are set up to simulate and predict the evolution of land use changes and carbon storage spatial patterns.The results show:1)In 2000-2010,Guangzhou had a relatively severe loss of carbon storage,while the loss rate slowed down in 2010-2020.The conversion of forest land and farming land to construction land is the pivotal factor to this decline;2)Across the urban,suburban,and city-wide gradients,factors such as NDVI,DEM,slope,average annual evaporation,average annual precipitation,and soil moisture content positively correlate with carbon storage while average annual temperature,night light index,GDP,and road network density display a negative correlation with carbon storage;and 3)The carbon storage in the three scenarios presents a declining trend for the future,while under the future natural development,economic priority,and comprehensive development scenarios,though the rate of decline is mitigated,while the comprehensive development scenario sees the smallest decline of carbon storage.Spatially,all of the three scenarios present the distribution characteristics of high in the north and low in the south.The results of the study are conducive to optimizing the carbon cycle of ecosystems and promoting sustainable regional development in the cities in shortage of land resources.

carbon storageland useurbanizationmulti-scenario simulation

唐娇华、李智琦、潘勇军

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广州市林业和园林科学研究院/广州城市生态系统国家定位观测研究站 广州 510405

碳储量 土地利用 城市化 多场景模拟

国家重点研发计划项目

2021YFE0193200

2024

中国城市林业
中国林业科学研究院

中国城市林业

影响因子:0.467
ISSN:1672-4925
年,卷(期):2024.22(4)
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