1. 内蒙古师范大学, 地理科学学院,内蒙古,呼和浩特,010022
2. 内蒙古土地利用与整治工程研究中心,内蒙古,呼和浩特,010022
纸质出版:2024
移动端阅览
浩日娃, 周瑞平, 胡斯乐, 等. 黄河流域内蒙古段碳汇演变模拟及驱动因素分析[J]. 水土保持通报, 2024,44(1):465-476.
Haoriwa, Zhou Ruiping, Hu Sile, et al. Simulating Carbon Sinks and Determining Driving Factors of Inner Mongolia Section in Yellow River Basin[J]. Bulletin of Soiland Water Conservation, 2024, 44(1): 465-476.
浩日娃, 周瑞平, 胡斯乐, 等. 黄河流域内蒙古段碳汇演变模拟及驱动因素分析[J]. 水土保持通报, 2024,44(1):465-476. DOI: 10.13961/j.cnki.stbctb.20240019.004.
Haoriwa, Zhou Ruiping, Hu Sile, et al. Simulating Carbon Sinks and Determining Driving Factors of Inner Mongolia Section in Yellow River Basin[J]. Bulletin of Soiland Water Conservation, 2024, 44(1): 465-476. DOI: 10.13961/j.cnki.stbctb.20240019.004.
[目的
]
探究黄河流域内蒙古段土地利用变化格局对碳汇空间分布的影响
并找出其主要驱动因素
为研究区生态空间发展方向和增汇政策提供依据。[方法
]
以黄河流域内蒙古段为例
基于2000
2010与2020年土地利用数据
使用InVEST-FLUS模型分析各期碳汇能力变化情况
进而模拟2040年自然发展、生态保护及农业优先3种不同情景下碳储量变化格局
并借助地理探测器找出造成碳汇空间分布差异背后的主要驱动因素。[结果
]
①2000-2020年
黄河流域内蒙古段碳储量呈先上升后下降态势
碳储量总体增加8.63×10
6
t
其中
地下生物碳储量增加3.91×10
6
t
土壤碳储量增加2.28×10
6
t。②未来自然发展情景下碳储量继续减少3.92×10
6
t
而在生态保护情景下增长2.21×10
7
t
高于农业优先情景下4.99×10
6
t的碳储增量
其中
土壤碳库是造成增量差异的关键。③年平均降雨量、年平均温度的不平衡分布是造成黄河流域内蒙古段各类碳库差异的主要因素。[结论
]
合理的生态保护政策更符合未来城镇集约化和生态高质量发展要求
未来应重视荒漠化防治工作
推进林草建设
为提升区域生态安全格局和增汇政策提供保障。
[Objective] The influence of land use change patterns on the spatial distribution of carbon sinks for the Inner Mongolia section of the Yellow River basin was investigated
and the main driving factors behind the spatial distribution of carbon sinks were identified in order to provide a basis for directing ecological spatial development and for developing sink enhancement policies in the study area.[Methods] The study was conducted for the Inner Mongolia section of the Yellow River basin. InVEST-FLUS model was used to analyze changes in the carbon sink capacity during each period of the study based on land use data from 2000
2010
and 2020. The patterns of carbon stock changes were simulated in 2040 under three different scenarios (natural development
ecological conservation and agricultural priority)
and identified the main driving factors behind the differences in the spatial distribution of carbon sinks with the help of geographic probes.[Results] ① From 2000 to 2020
carbon storage for the Mongolia section of the Yellow River basin initially increased and then decreased
with an overall increase of 8.63×106 t. Subsurface biological carbon storage increased by 3.91×106 t and soil carbon storage increased by 2.28×106 t. ② Carbon storage continued to decrease by 3.92×106 t for the future natural development scenario
but increased by 2.21×107 t for the ecological protection scenario
which was higher than for the agricultural priority scenario (4.99×106 t). Soil carbon storage was the key factor causing the incremental difference. ③ The unbalanced distributions of mean annual rainfall and mean annual temperature were the main factors causing differences in the various carbon pools for the Mongolia section of the Yellow River basin.[Conclusion] Reasonable ecological protection policies are more in line with the future requirements of urban intensification and ecological high-quality development. Future attention should be given to preventing and controlling desertification
and to promoting forest and grassland construction so as to improve the regional ecological security pattern and carbon sink enhancement policies.
杜之利,苏彤,葛佳敏,等.碳中和背景下的森林碳汇及其空间溢出效应[J].经济研究,2021,56(12):187-202. Du Zhili, Su Tong, Ge Jiamin, et al. Towards the carbon neutrality:The role of carbon sink and its spatial spillover effects[J]. Economic Research Journal,2021,56(12):187-202.
徐冠华,刘琦岩,罗晖,等.后疫情时代全球气候变化的应对与抉择[J].遥感学报,2021,25(5):1037-1042. Xu Guanhua, Liu Qiyan, Luo Hui, et al. Responses and choices of global climate change in the post-epidemic era[J]. National Remote Sensing Bulletin,2021,25(5):1037-1042.
黄贤金,张秀英,卢学鹤,等.面向碳中和的中国低碳国土开发利用[J].自然资源学报,2021,36(12):2995-3006. Huang Xianjin, Zhang Xiuying, Lu Xuehe, et al. Land development and utilization for carbon neutralization[J]. Journal of Natural Resources, 2021,36(12):2995-3006.
李培林.面对未来:我国城镇化的特征、挑战和趋势[J].中国社会科学院大学学报,2022,42(8):5-20. Li Peilin. Toward the future:characteristics, challenges and trends of urbanization in China[J]. Journal of University of Chinese Academy of Social Sciences, 2022,42(8):5-20.
邹桃红,陈鹏,刘家福,等.不同土地利用情景下四平市生态系统碳储量时空演变[J].中国环境科学,2023,43(10):5508-5518. Zou Taohong, Chen Peng, Liu Jiafu, et al. Spatio-temporal dynamics of territorial ecosystem carbon storage under different land use scenarios in Siping City[J].China Environmental Science, 2023,43(10):5508-5518.
曾娟,刘毅华,吴大放.广州市土地利用变化的碳排放效应研究[J].广东农业科学,2013,40(6):186-189. Zeng Juan, Liu Yihua, Wu Dafang. Effects of land use change on net carbon emissions in Guangzhou[J]. Guangdong Agricultural Sciences, 2013,40(6):186-189.
郑永超,文琦.宁夏自治区土地利用变化及碳排放效应[J].水土保持研究,2020,27(1):207-212. Zheng Yongchao, Wen Qi. Change of land use and the carbon emission effect of Ningxia autonomous region[J]. Research of Soil and Water Conservation, 2020,27(1):207-212.
许蕊,黄贤金,王佩玉,等.黄河流域国土空间碳中和度研究:以内蒙古段为例[J].生态学报,2022,42(23):9651-9662. Xu Rui, Huang Xianjin, Wang Peiyu, et al. Territorial spatial carbon neutrality realization degree of the Yellow River basin:A case study of the Inner Mongolia section[J]. Acta Ecologica Sinica, 2022,42(23):9651-9662.
张楚强,向洋,方婷,等.LUCC影响下太原市生态系统碳储量时空变化及预测[J].安全与环境工程,2022,29(6):248-258. Zhang Chuqiang,Xiang Yang, Fang Ting, et al. Spatio-temporal evolution and prediction of carbon storage in Taiyuan ecosystem under the influence of LUCC[J]. Safety and Environmental Engineering, 2022,29(6):248-258.
邹文涛,何友均,叶兵,等.基于InVEST模型的钱江源国家公园生态系统碳储量研究[J].中南林业科技大学学报,2021,41(3):120-128. Zou Wentao, He Youjun, Ye Bing, et al. Study on carbon storage of ecosystem in Qianjiangyuan National Park based on InVEST model[J]. Journal of Central South University of Forestry&Technology, 2021,41(3):120-128.
巩晟萱,张玉虎,李宇航.基于PLUS-InVEST模型的京津冀碳储量变化及预测[J].干旱区资源与环境,2023,37(6):20-28. Gong Shengxuan, Zhang Yuhu, Li Yuhang. Spatio-temporal variation and prediction of carbon storage in Beijing-Tianjin-Hebei region:A PLUS-InVEST model approach[J]. Journal of Arid Land Resources and Environment, 2023,37(6):20-28.
袁雪松,周俊,胡蓓蓓,等.基于FLUS模型粤港澳大湾区"三生空间"多情景模拟预测[J].地理科学,2023,43(3):564-574. Yuan Xuesong, Zhou Jun, Hu Beibei, et al. Multi-scenario simulation and prediction of ecological-productive-living spaces in Guangdong-Hong Kong-Macao Greater Bay Area based on FLUS model[J]. Scientia Geographica Sinica, 2023,43(3):564-574.
牛统莉,熊立华,陈杰,等.基于PLUS模型的长江流域土地利用变化模拟与多情景预测[J].武汉大学学报(工学版). 2024,57(2):129-141,151. Niu Tongli, Xiong Lihua, Chen Jie, et al. Land use simulation and multi-scenario prediction of the Yangtze River Basin based on PLUS model[J].Engineering Journal of Wuhan University. 2024,57(2):129-141,151.
李海萍,王语萌,杜佳琪.基于保护生态服务价值的县域城市扩展情景分析:以浙江省安吉县为例[J].生态学报,2022,42(19):7858-7870. Li Haiping, Wang Yumeng, Du Jiaqi. Scenario analysis of County expansion based on the value of ecological services:Taking Anji County in Zhejiang Province as an example[J]. Acta Ecologica Sinica,2022,42(19):7858-7870.
王保盛,廖江福,祝薇,等.基于历史情景的FLUS模型邻域权重设置:以闽三角城市群2030年土地利用模拟为例[J].生态学报,2019,39(12):4284-4298. Wang Baosheng, Liao Jiangfu, Zhu Wei, et al. The weight of neighborhood setting of the FLUS model based on a historical scenario:A case study of land use simulation of urban agglomeration of the Golden Triangle of Southern Fujian in 2030[J]. Acta Ecologica Sinica, 2019,39(12):4284-4298.
郑佳乐,李粉玲,张晓东,等.宁夏引黄灌区生态承载力分析[J].水土保持学报,2023,37(3):164-171. Zheng Jiale, Li Fenling, Zhang Xiaodong, et al. Analysis of ecological carrying capacity of Ningxia Yellow diversion irrigation area[J]. Journal of Soil and Water Conservation, 2023,37(3):164-171.
祁强强,徐占军,李娜艳,等.黄河流域碳排放的时空分布及影响因素研究[J].环境污染与防治,2023,45(4):577-582. Qi Qiangqiang, Xu Zhanjun, Li Nayan, et al. Spatio-temporal distribution pattern and influencing factors of carbon emission in the Yellow River basin[J]. Environmental Pollution&Control, 2023,45(4):577-582.
刘希朝,李效顺,蒋冬梅.基于土地利用变化的黄河流域景观格局及生态风险评估[J].农业工程学报,2021,37(4):265-274. Liu Xizhao, Li Xiaoshun, Jiang Dongmei. Landscape pattern identification and ecological risk assessment using land-use change in the Yellow River basin[J]. Transactions of the Chinese Society of Agricultural Engineering, 2021,37(4):265-274.
付乐,迟妍妍,于洋,等.2000-2020年黄河流域土地利用变化特征及影响因素分析[J].生态环境学报,2022,31(10):1927-1938. Fu Le, Chi Yanyan, Yu Yang, et al. Characteristics and driving forces of land use change in the Yellow River basin from 2000 to 2020[J]. Ecology and Environmental Sciences, 2022,31(10):1927-1938.
付建新.山西黄河流域不同土地利用类型NDVI时空变化及其对气温、降水的响应[J].水土保持研究,2023,30(3):364-372. Fu Jianxin. Temporal and spatial changes of NDVI of different land covers and their responses to temperature and precipitation in the Yellow River basin of Shanxi[J]. Research of Soil and Water Conservation, 2023,30(3):364-372.
吴翠霞,冯永忠,赵浩,等.基于土地利用变化的甘肃省黄河流域生态系统服务价值研究[J].中国沙漠,2022,42(6):304-316. Wu Cuixia, Feng Yongzhong, Zhao Hao, et al. Study on ecosystem service value of the Yellow River basin in Gansu Province based on land use change[J]. Journal of Desert Research, 2022,42(6):304-316.
Yang Jie, Huang Xin. The 30 m annual land cover dataset and its dynamics in China from 1990 to 2019[J]. Earth System Science Data, 2021,13(8):3907-3925.
Liu Xiaoping, Liang Xun, Li Xia, et al. A future land use simulation model (FLUS) for simulating multiple land use scenarios by coupling human and natural effects[J]. Landscape and Urban Planning, 2017,168:94-116.
任胤铭,刘小平,许晓聪,等.基于FLUS-InVEST模型的京津冀多情景土地利用变化模拟及其对生态系统服务功能的影响[J].生态学报,2023,43(11):4473-4487. Ren Yinming, Liu Xiaoping, Xu Xiaocong, et al. Multi-scenario simulation of land use change and its impact on ecosystem services in Beijing-Tianjin-Hebei region based on the FLUS-InVEST model[J]. Acta Ecologica Sinica, 2023,43(11):4473-4487.
侯建坤,陈建军,张凯琪,等.基于InVEST和GeoSoS-FLUS模型的黄河源区碳储量时空变化特征及其对未来不同情景模式的响应[J].环境科学,2022,43(11):5253-5262. Hou Jiankun, Chen Jianjun, Zhang Kaiqi, et al. Temporal and spatial variation characteristics of carbon storage in the source region of the Yellow River based on InVEST and GeoSoS-FLUS models and its response to different future scenarios[J]. Environmental Science, 2022,43(11):5253-5262.
吴宗洋,蔡卓雅,郭英,等.黄河流域多源遥感土地覆被数据精度评价与一致性分析[J].中国生态农业学报(中英文),2023,31(6):917-927. Wu Zongyang, Cai Zhuoya, Guo Ying, et al. Accuracy evaluation and consistency analysis of multi-source remote sensing land cover data in the Yellow River basin[J]. Chinese Journal of Eco-agriculture, 2023,31(6):917-927.
王超越,郭先华,郭莉,等.基于FLUS-In VEST的西北地区土地利用变化及其对碳储量的影响:以呼包鄂榆城市群为例[J].生态环境学报,2022,31(8):1667-1679. Wang Chaoyue, Guo Xianhua, Guo Li, et al. Land use change and its impact on carbon storage in Northwest China based on FLUS-invest:A case study of Hu-Bao-Er-Yu urban agglomeration[J]. Ecology and Environmental Sciences, 2022,31(8):1667-1679.
徐丽,何念鹏,于贵瑞.2010s中国陆地生态系统碳密度数据集[J].中国科学数据,2019,4(1):90-96. Xu Li, He Nianpeng, Yu Guirui. A dataset of carbon density in Chinese terrestrial ecosystems (2010s)[J]. China Scientific Data, 2019,4(1):90-96.
徐丽,何念鹏,于贵瑞.2010s中国陆地生态系统碳密度数据集[J].中国科学数据,2019,4(1):86-92. Xu Li, He Nianpeng, Yu Guirui. A dataset of carbon density in Chinese terrestrial ecosystems (2010s)[J]. China Scientific Data, 2019,4(1):86-92.
王劲峰,徐成东.地理探测器:原理与展望[J].地理学报,2017,72(1):116-134. Wang Jinfeng, Xu Chengdong. Geodetector:Principle and prospective[J]. Acta Geographica Sinica, 2017,72(1):116-134.
高亮,高永,王静,等.土地覆盖类型对科尔沁沙地南缘土壤有机碳储量的影响[J].中国沙漠,2016,36(5):1357-1364. Gao Liang, Gao Yong, Wang Jing, et al. Impact of land cover change on soil carbon storage in the Southern Horqin sandy land, Inner Mongolia[J]. Journal of Desert Research, 2016,36(5):1357-1364.
闫蒙,王旭洋,周立业,等.科尔沁沙地沙漠化过程中土壤有机碳含量变化特征及影响因素[J].中国沙漠,2022,42(5):221-231. Yan Meng, Wang Xuyang, Zhou Liye, et al. Characteristics and influencing factors of soil organic carbon in the process of desertification in Horqin sandy land[J]. Journal of Desert Research, 2022,42(5):221-231.
张煜,张琳,吴文良,等.内蒙农牧交错带地区土地利用方式和施肥对土壤碳库的影响[J].土壤学报,2016,53(4):930-941. Zhang Yu, Zhang Lin, Wu Wenliang, et al. Impact of land use and fertilization measures on soil C stock in farming grazing interlacing zone of Inner Mongolia, China[J]. Acta Pedologica Sinica, 2016,53(4):930-941.
黎鹏,张勇,李夏浩祺,等.黄土丘陵区不同退耕还林措施的土壤碳汇效应[J].水土保持研究,2021,28(4):29-33. Li Peng, Zhang Yong, Li X, et al. Effect of soil carbon sink in the hilly region of the loess plateau under grain for green project[J]. Research of Soil and Water Conservation, 2021,28(4):29-33.
杨阳,窦艳星,王宝荣,等.黄土高原土壤有机碳固存机制研究进展[J].第四纪研究,2023,43(2):509-522. Yang Yang, Dou Yanxing, Wang Baorong, et al. Advances in soil organic carbon sequestration mechanisms on the Chinese Loess Plateau[J]. Quaternary Sciences, 2023,43(2):509-522.
王鑫婧,张美玲,杨敏聪,等.基于CENTURY模型的张掖草地土壤有机碳模拟及影响因素研究[J].草地学报,2023,31(4):1173-1185. Wang Xinjing, Zhang Meiling, Yang Mincong, et al. Simulation of soil organic carbon and analysis on its influencing factors in Zhangye grassland based on CENTURY model[J]. Acta Agrestia Sinica, 2023,31(4):1173-1185.
0
浏览量
402
下载量
1
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621