京津冀城市群建设用地扩张多情景模拟及其对生态系统碳储量的影响  

Multi-scenario Simulation of Construction Land Expansion and Its Impact on Ecosystem Carbon Storage in Beijing-Tianjin-Hebei Urban Agglomeration

作　　者：武爱彬 陈辅国[3] 赵艳霞 秦彦杰[2] 刘欣[2] 郭小平[1] WU Ai-bin;CHEN Fu-guo;ZHAO Yan-xia;QIN Yan-jie;LIU Xin;GUO Xiao-ping(School of Soil and Water Conservation,Beijing Forestry University,Beijing 100083,China;Hebei Engineering Research Center for Geographic Information Application/Institute of Geographical Sciences Hebei Academy of Sciences,Shijiazhuang 050011,China;School of Land Science and Space Planning,Hebei GEO University,Shijiazhuang 050031,China)

机构地区：[1]北京林业大学水土保持学院,北京100083 [2]河北省科学院地理科学研究所,河北省地理信息开发应用工程技术研究中心,石家庄050011 [3]河北地质大学土地科学与空间规划学院,石家庄050031

出　　处：《环境科学》2024年第5期2828-2839,共12页Environmental Science

基　　金：河北省科学院基本科研业务费试点项目(2023PF04)。

摘　　要：量化分析建设用地扩张对陆地生态系统碳储量的影响,探索模拟建设用地扩张的优化方案以提高未来生态系统碳储量,对区域可持续发展和生态文明建设具有重要的现实意义.基于土地利用和地理空间数据,利用生态系统服务与权衡综合评估(InVEST)模型和基于栅格的斑块生成土地利用模拟(PLUS)模型,以2 km网格为基本单元,核算分析了京津冀城市群2000~2020年生态系统碳储量和格局演变,拟合回归了建设用地变化和碳储量变化两者关系,设置不同城市扩张发展情景对京津冀城市群2030年土地利用格局进行了模拟并分析了不同发展情景下2020~2030年建设用地扩张对碳储量的影响.结果表明:①京津冀城市群2000、2010和2020年生态系统碳储量(以C计)分别为2088.02、2106.78和2121.25 Tg,其中林地碳库占比最大.研究期间碳储量减少的网格单元集中分布在北京、天津、石家庄和唐山等大城市周边,建设用地扩张的区域是碳储量变化最为剧烈的区域.②在建设用地占比10%以上的各等级网格单元区域,建设用地扩张和碳储量变化回归拟合关系良好,两者回归系数均呈现波动上升趋势.③在自然发展、建设用地扩张增速减少15%和建设用地扩张增速减少30%这3种发展情景下,2030年生态系统碳储量(以C计)分别为2129.12、2133.55和2139.10 Tg.2020~2030年建设用地扩张和碳储量变化两者回归拟合效果均明显优于2000~2010年和2010~2020年,回归系数随着建设用地占比等级的增加均呈现波动增加的趋势.在各建设用地占比等级区域,回归系数值均呈现:自然发展情景<建设用地扩张增速减少15%发展情景<建设用地扩张增速减少30%发展情景.在“双碳”目标下,京津冀城市群应优先选择建设用地扩张增速降低发展情景,对建设用地的扩张应优先控制在建设用地占比较高的区域.It is of great practical significance for regional sustainable development and ecological construction to quantitatively analyze the impact of construction land expansion on terrestrial ecosystem carbon storage and to explore the optimization scheme of simulating construction land expansion to improve future ecosystem carbon storage.Based on the land use and cover change(LUCC)and other geospatial data of the Beijing-Tianjin-Hebei Urban Agglomeration from 2000 to 2020,this study utilized the Integrated Valuation of Ecosystem Services and Tradeoffs(InVEST)model and the patch-generating land-use simulation(PLUS)model to assess and analyze the changes in ecosystem carbon stocks and spatial patterns regionally.In this study,we performed linear regression analysis to investigate the relationship between urban land expansion and changes in ecosystem carbon stocks for varying urban land proportion levels during two distinct time intervals,2000-2010 and 2010-2020,which was conducted at a spatial resolution of 2 km.Three distinct urban land expansion scenarios were subjected to simulation to forecast the prospective land use pattern by 2030.Subsequently,we quantified the ramifications of these scenarios on ecosystem carbon stocks during the period from 2020 to 2030.The results were as follows:①In the Beijing-Tianjin-Hebei Urban Agglomeration,the ecosystem carbon stocks exhibited notable variations over the study period,with values of 2088.02,2106.78,and 2121.25 Tg recorded for the years 2000,2010,and 2020,respectively,resulting in a cumulative carbon sequestration of 33.23 Tg C during the study duration.It is noteworthy that forest carbon storage emerged as the dominant contributor,with an increase from 1010.17 Tg in 2000 to 1136.53 Tg in 2020.Throughout the study period,the spatial distribution of carbon stocks displayed relative stability.Regions characterized by lower carbon content were concentrated in the vicinity of the Bohai Rim region and in proximity to cities such as Beijing,Tianjin,and Shijiazhuang,as well as

关 键 词：碳储量 建设用地扩张 InVEST模型 PLUS模型 京津冀城市群 

分 类 号：X144[环境科学与工程—环境科学]