首页|期刊导航|生态学报|基于InVEST-PLUS-GeoDectetor模型的浙江大陆海岸带生态系统碳储量时空演变特征及多情景预测

基于InVEST-PLUS-GeoDectetor模型的浙江大陆海岸带生态系统碳储量时空演变特征及多情景预测OACHSSCD

Spatio-temporal evolution and multi-scenario prediction of carbon stock in coastal zone ecosystems of Zhejiang mainland based on the InVEST-PLUS-GeoDectetor model

中文摘要英文摘要

浙江大陆海岸带作为长三角经济圈的重要组成部分,分析其碳储量时空变化以及未来演变趋势对于优化区域国土空间规划、提升生态系统碳储存能力具有重要意义.耦合PLUS-InVEST模型,评估了浙江大陆海岸带1990-2020年间的碳储量时空分布,并模拟了 2030年四种情景(自然发展、经济发展、耕地保护、生态保护)下土地利用和碳储量变化特征,利用GeoDectetor模型探究其驱动机制.结果表明:①1990-2020年期间耕地、草地、水域和未利用地的面积依次降低了 21.44%、38.02%、19.76%和53.05%,建设用地与林地的面积各自增加了 204.29%和4.24%;其中林地主要分布在西部山地,耕地集中在北部平原,建设用地沿东部沿海布局.②2020年浙江大陆海岸带碳储量为585.67Tg.自然发展情景、经济发展情景、耕地保护情景和生态保护情景下碳储量分别为584.24Tg、580.97Tg、586.23Tg和585.95Tg,较2020年分别减少了 1.43Tg和4.7Tg以及增加了0.56Tg和0.28Tg.③自然因子尤其是地形因素稳定性强,长期制约碳储量空间分布格局,而社会经济因子呈现出阶段性显著差异;交互因子坡度与人口密度、人均GDP最强,q值均达到了 0.59.研究结果对于指导沿海地区资源合理开发利用和生态保护区建设,推动区域可持续发展具有重要的作用.

As an important part of the Yangtze River Delta Economic Circle,the analysis of spatial and temporal changes in carbon stocks and the future evolution trend of the Zhejiang continental coastal zone is of great significance for optimizing the regional territorial spatial planning and enhancing the ecosystem carbon storage capacity.In this study,the coupled PLUS-InVEST model was used to assess the spatial and temporal distribution of carbon stocks in the Zhejiang continental coastal zone from 1990 to 2020,and to simulate the characteristics of land use and carbon stock changes under four scenarios(natural development,economic development,arable land preservation,and ecological preservation)in 2030.The driving mechanisms were further explored using the GeoDectetor model.The results showed that:1)From 1990 to 2020,the areas of arable land,grassland,water bodies,and unutilized land decreased by 21.44%,38.02%,19.76%,and 53.05%respectively,while the areas of construction land and forest land increased by 204.29%and 4.24%.Among them,forest land was mainly distributed in the western mountains,cultivated land was concentrated in the northern plains,and construction land was laid out along the eastern coast.2)In 2020,the carbon stock in the coastal zone of Zhejiang was 585.67 Tg.Under the natural development,economic development,cropland protection,and ecological protection scenario,carbon stocks were projected to be 584.24 Tg,580.97 Tg,586.23 Tg,and 585.95 Tg,respectively,representing a decrease of 1.43 Tg and 4.7 Tg,and an increase of 0.56 Tg and 0.28 Tg compared to the 2020 level.3)Natural factors,especially topographic factors,were stable and constrain the spatial distribution pattern of carbon stocks in the long term,while socio-economic factors showed significant variations across different stages.The interaction between slope,population density,and GDP per capita had the strongest explanatory power,with a q-alues of 0.59.The results of the study played an important role in guiding the rational development and utilization of resources and the construction of ecological reserves in the coastal area,and in promoting the sustainable development of the region.

胡增琳;曹罗丹;李加林;应超;刘永超

宁波大学地理与空间信息技术系,宁波 315211宁波大学地理与空间信息技术系,宁波 315211||宁波大学东海研究院,宁波 315211宁波大学地理与空间信息技术系,宁波 315211宁波大学地理与空间信息技术系,宁波 315211宁波大学地理与空间信息技术系,宁波 315211

土地利用变化碳储量InVEST模型PLUS模型GeoDectetor模型浙江大陆海岸带

land use changecarbon storageIn VEST modelPLUS modelGeoDectetor modelZhejiang continental coastal zone

《生态学报》 2026 (7)

3695-3711,17

国家自然科学基金(42401349)浙江省社科规划课题(24NDQN128YBM)浙江省省属高校基本科研业务费专项资金资助(SJWZ2025006)浙江省重点专业智库东海研究院自设课题(DHST22YB04)

10.20103/j.stxb.202503180611

评论