黔中城市群碳储量对土地利用/覆被变化的响应及脆弱性
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X171.1

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国家自然科学基金项目“可持续发展视角下沿海城市人居环境时空演变与影响因素研究”(42001239);贵州省科技计划项目“喀斯特山地城市空间扩展生态环境效应及优化模式研究”(黔科合基础-ZK[2022]一般277)


Response of Carbon Storage to Land Use/Cover Changes and Vulnerability for Central Guizhou Urban Agglomeration
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    摘要:

    [目的] 探究土地利用/覆被变化对区域生态系统碳储量及生态系统脆弱性的影响,以期为区域绿色低碳和生态系统的可持续发展提供参考依据。[方法] 以2000,2010,2020年黔中城市群核心经济区3期土地利用/覆被数据为基础,运用InVEST模型和土地利用转移矩阵定量分析生态系统碳储量及其空间分布格局,并采用潜在影响指数(PI)对区域生态系统服务脆弱性进行评估。[结果] ①2000-2020年,黔中城市群核心经济区土地利用/覆被变化总体表现为耕地和林地持续下降,建设用地持续上升。研究区土地利用/覆被转移主要表现为耕地、林地、草地向其他地类的转移,其中,2000-2010,2010-2020年分别有3 339.35,3 669.15 km2土地发生了转移,前者林地转为草地是主要转移类型,后者耕地转为建设用地为主要转移类型。②2000-2020年区域的碳储量表现为减少趋势,由4.42×107 t减小到4.33×107 t,累计减小9.40×105 t,林地转为草地是引起碳储量减少的主要原因。各年度碳储量密度均呈现西部、东部高,中部低的分布态势;20 a间,高密度区未发生明显变化,低密度区表现为由中心区域向外围扩散。③2000-2020年黔中城市群核心经济区主要扮演碳源的角色,土地利用程度指数增加了2.83,PI指数分别为-0.04,-0.31,均表现为负面潜在影响,且脆弱性不断增强。[结论] 增加林地、控制林地转为其他用地及建设用地扩张是促进区域绿色低碳和生态系统的稳定可持续发展的重要手段。

    Abstract:

    [Objective] The impacts of land use/cover changes on carbon storage and ecosystem vulnerability in regional ecosystems were determined in order to provide a reference for regional green low-carbon and sustainable development of ecosystems.[Methods] The ecosystem carbon storage and its spatial distribution pattern were quantitatively analyzed by using land use/cover data for the core economic zone of the Central Guizhou urban agglomeration in 2000, 2010, and 2020 with the InVEST model and a land use transfer matrix. A potential impact index (PI) was used to assess the vulnerability of regional ecosystem services.[Results] ① Land use/cover changes in the core economic zone of the Central Guizhou urban agglomeration showed that cultivated land and forest land continued to decline from 2000 to 2020, and construction land continued to increase. Land use/cover changes in the study area were mainly manifested as the transfer of cultivated land, forest land, and grassland to other land use types, among which 3 339.35 and 3 669.15 km2 of land were transferred from 2000 to 2010 and 2010 to 2020, respectively. The conversion of forest land to grassland was the main transfer type during the first period, and the conversion of arable land to construction land was the main transfer type in the second period. ② Regional carbon storage decreased from 2000 to 2020 (from 4.42×107 to 4.33×107 t), with a cumulative decrease of 9.40×105 t. The conversion of forest land to grassland was the main reason for the reduction in carbon storage. The carbon storage density in each year was higher in the west and east, and lower in the middle portion of the study area. There was no significant change in the high density area during the past 20 years, while the low density area spreading from the central area to the periphery. ③ The core economic zone of the Central Guizhou urban agglomeration was the main source of carbon from 2000 to 2020, with the land use degree index increasing by 2.83, and PI index being -0.04 and -0.31, respectively, showing negative potential impact and increasing vulnerability.[Conclusion] Increasing forest land, controlling forest land conversion to other uses, and expanding construction land are important means for promoting regional green, low-carbon, stable, and sustainable development of ecosystems.

    参考文献
    [1] 虎帅,张学儒,官冬杰.基于InVEST模型重庆市建设用地扩张的碳储量变化分析[J].水土保持研究,2018,25(3):323-331. Hu Shuai, Zhang Xueru, Guan Dongjie. Analysis on carbon storage change of construction land expansion in Chongqing based on InVEST model[J]. Research of Soil and Water Conservation, 2018,25(3):323-331.
    [2] 张平平,李艳红,殷浩然,等.中国南北过渡带生态系统碳储量时空变化及动态模拟[J].自然资源学报,2022,37(5):1183-1197. Zhang Pingping, Li Yanhong, Yin Haoran, et al. Spatio-temporal variation and dynamic simulation of ecosystem carbon storage in the north-south transitional zone of China[J]. Journal of Natural Resources, 2022,37(5):1183-1197.
    [3] 张斌,李璐,夏秋月,等."三线"约束下土地利用变化及其对碳储量的影响:以武汉城市圈为例[J].生态学报,2022,42(6):2265-2280. Zhang Bin, Li Lu, Xia Qiuyue, et al. Land use change and its impact on carbon storage under the constraints of "three lines":A case study of Wuhan City circle[J]. Acta Ecologica Sinica, 2022,42(6):2265-2280.
    [4] Yang Hang, Huang Junlong, Liu Dianfeng. Linking climate change and socioeconomic development to urban land use simulation:Analysis of their concurrent effects on carbon storage[J]. Applied Geography, 2020,115:102135.
    [5] 李彦旻,沈育生,王世航.基于土地利用变化的安徽省陆地碳排放时空特征及效应[J].水土保持学报,2022,36(1):182-188. Li Yanmin, Shen Yusheng, Wang Shihang. Spatio-temporal characteristics and effects of terrestrial carbon emissions based on land use change in Anhui Province[J]. Journal of Soil and Water Conservation, 2022,36(1):182-188.
    [6] de B Richter D Jr, Houghton R A. Gross CO2 fluxes from land-use change:Implications for reducing global emissions and increasing sinks[J]. Carbon Management, 2011,2(1):41-47.
    [7] 张金鑫,王红玲.中国畜牧业碳排放地区差异、动态演进与收敛分析:基于全国31个省(市)1997-2017年畜牧业数据[J].江汉论坛,2020(9):41-48. Zhang Jinxin, Wang Hongling. Regional difference, dynamic evolutionary and convergence analysis on the Chinese animal husbandry:Based on the animal husbandry data in 31 provinces from 1997 to 2007[J]. Jianghan Tribune, 2020(9):41-48.
    [8] Batjes N H. Total carbon and nitrogen in the soils of the world[J]. European Journal of Soil Science, 1996,47:151-163.
    [9] 段璇瑜,龚文峰,孙雨欣,等.海南岛海岸带土地利用变化及其对碳储量时空演变的影响[J].水土保持通报,2022,42(5):301-311. Duan Xuanyu, Gong Wenfeng, Sun Yuxin, et al. Land use change and its impact on temporal and spatial evolution of carbon storage in coastal zone of Hainan Island[J]. Bulletin of Soil and Water Conservation, 2022,42(5):301-311.
    [10] 李姣,汪杰,李朗,等.洞庭湖生态经济区土地利用变化对碳储量的影响[J].生态学杂志,2022,41(6):1156-1165. Li Jiao, Wang Jie, Li Lang, et al. Impact of land use change on carbon storage in the Dongting Lake Eco-economic Zone[J]. Chinese Journal of Ecology, 2022,41(6):1156-1165.
    [11] 刘亚男,郗敏,张希丽,等.中国湿地碳储量分布特征及其影响因素[J].应用生态学报,2019,30(7):2481-2489. Liu Yanan, Xi Min, Zhang Xili, et al. Carbon storage distribution characteristics of wetlands in China and its influencing factors[J]. Chinese Journal of Applied Ecology, 2019,30(7):2481-2489.
    [12] 蔡广鹏,韩会庆,张凤太,等.喀斯特地区贵州省绥阳县土地利用/覆被变化对陆地植被碳储量的影响[J].水土保持研究,2012,19(4):122-124. Cai Guangpeng, Han Huiqing, Zhang Fengtai, et al. Impacts of land use change on the vegetation carbon storage in Suiyang, Guizhou Province in the Karst area[J]. Research of Soil and Water Conservation, 2012,19(4):122-124.
    [13] 罗丹,周忠发,陈全,等.喀斯特地区碳储量对土地利用模式的响应:以南北盘江流域为例[J].生态学报,2023,43(9):3500-3516. Luo Dan, Zhou Zhongfa, Chen Quan, et al. Responses of carbon storage to land use pattern in Karst area:A case study of Nanbei Panjiang River Basin[J]. Acta Ecologica Sinica, 2023,43(9):3500-3516.
    [14] 李月,罗红芬.基于InVEST模型的黔中喀斯特地区建设用地扩张碳储量变化研究[J].西北林学院学报,2024,39(1):185-192. Li Yue, Luo Hongfen. Research on carbon storage change of construction land expansion in Central Guizhou's Karst region based on InVEST model[J]. Journal of Northwest Forestry University, 2024,39(1):185-192.
    [15] 向书江,张骞,王丹,等.近20年重庆市主城区碳储量对土地利用/覆被变化的响应及脆弱性分析[J].自然资源学报,2022,37(5):1198-1213. Xiang Shujiang, Zhang Qian, Wang Dan, et al. Response and vulnerability analysis of carbon storage to LUCC in the main urban area of Chongqing during 2000-2020[J]. Journal of Natural Resources, 2022,37(5):1198-1213.
    [16] 滕明塔,李旭东,方冰轲,等.黔中城市群地表覆盖变化及驱动因素分析[J].贵州师范大学学报(自然科学版),2023,41(1):21-31. Teng Mingta, Li Xudong, Fang Bingke, et al. Study of land cover change and its driving factors of urban cluster in central Guizhou[J]. Journal of Guizhou Normal University (Natural Sciences), 2023,41(1):21-31.
    [17] 王小凤.黔中城市群生态系统生产总值(GEP)时空演变特征研究[D].贵州贵阳:贵州师范大学,2022. Wang Xiaofeng. A study on the temporal and spatial evolution characteristics of gross ecosystem product (GEP) in the central Guizhou urban agglomeration[D]. Guiyang, Guizhou:Guizhou Normal University, 2022.
    [18] 郜红娟,韩会庆,张朝琼,等.乌江流域贵州段2000-2010年土地利用变化对碳储量的影响[J].四川农业大学学报,2016,34(1):48-53. Gao Hongjuan, Han Huiqing, Zhang Chaoqiong, et al. Effects of land use change on carbon storage in Wujiang River of Guizhou Province from 2000-2010[J]. Journal of Sichuan Agricultural University, 2016,34(1):48-53.
    [19] 廖小锋,赵晓朋,谢元贵.贵州喀斯特地区五种植被恢复模式碳储量异质性研究[J].浙江农业学报,2015,27(12):2100-2104. Liao Xiaofeng, Zhao Xiaopeng, Xie Yuangui. Study on heterogeneity of carbon stocks for five forest recovery modes in karst area of Guizhou[J]. Acta Agriculturae Zhejiangensis, 2015,27(12):2100-2104.
    [20] 李明军,杜明凤,喻理飞.贵州省森林植被碳储量、碳密度及其分布[J].西北林学院学报,2016,31(1):48-54. Li Mingjun, Du Mingfeng, Yu Lifei. Carbon storage and density of forest vegetation and its spatial distribution pattern in Guizhou Province[J]. Journal of Northwest Forestry University,2016,31(1):48-54.
    [21] 张哲,时振钦,朱文博,等.基于InVEST模型的伏牛山地区生态系统碳储量时空变化模拟[J/OL].环境科学,(2023-07-25), https://doi.org/10.13227/j.hjkx. 202306203. Zhang Zhe, Shi Zhenqin, Zhu Wenbo, et al. Simulation of temporal and spatial changes of ecosystem carbon storage in Funiu Mountains based on InVEST model[J/OL]. Evironmental Science,(2023-07-25) https://doi.org/10.13227/j.hjkx. 202306203.
    [22] 尹林江,周忠发,朱昌丽,等.喀斯特石漠化及土地利用变化的地貌分异特征:以贵州省关岭贞丰花江石漠化综合示范区为例[J].水土保持通报,2020,40(2):37-46. Yin Linjiang, Zhou Zhongfa, Zhu Changli, et al. Geomorphological differentiation characteristics of land use change in Karst rocky desertification area:A case of Guanling-Zhenfeng Huajiang Rocky Desertification Comprehensive Demonstration Zone in Guizhou Province[J]. Bulletin of Soil and Water Conservation, 2020,40(2):37-46.
    [23] 刘纪远.国家资源环境遥感宏观调查与动态监测研究[J].遥感学报,1997,1(3):225-230. Liu Jiyuan. Study on national resources&environment survey and dynamic monitoring using remote sensing[J]. Journal of Remote Sensing, 1997,1(3):225-230.
    [24] Schröter D, Cramer W, Leemans R, et al. Ecosystem service supply and vulnerability to global change in Europe[J]. Science, 2005,310(5752):1333-1337.
    [25] Metzger M J, Rounsevell M D A, Acosta-Michlik L, et al. The vulnerability of ecosystem services to land use change[J]. Agriculture, Ecosystems&Environment, 2006,114(1):69-85.
    [26] Wu Yuzhe, Shen Jiahui, Zhang Xiaoling, et al. The impact of urbanization on carbon emissions in developing countries:A Chinese study based on the U-Kaya method[J]. Journal of Cleaner Production, 2016,135:589-603.
    [27] 杨静怡,吴峰.贵阳市1980-2018年土地覆盖类型及碳储量变化研究[J].西南林业大学学报(自然科学),2020,40(4):115-121. Yang Jingyi, Wu Feng. Study on change of land cover type and carbon storage during 1980-2018 in Guiyang[J]. Journal of Southwest Forestry University (Natural Sciences), 2020,40(4):115-121.
    [28] 龙飞,曾晴,钟露潞.金融支持贵阳城镇化发展过程中存在的问题及对策研究[J].中国管理信息化,2019,22(1):137-139. Long Fei, Zeng Qing, Zhong Lulu. Problems and countermeasures in the process of financial support for Guiyang's urbanization development[J]. China Management Informationization, 2019,22(1):137-139.
    [29] 陈大蓉,周旭,杨胜天,等.基于贵州省土地变化的碳储量演变及其脆弱性特征分析[J].水土保持通报,2023,43(3):301-309. Chen Darong, Zhou Xu, Yang Shengtian, et al. Analysis of carbon stock evolution and its vulnerability characteristics based on land use change in Guizhou Province[J]. Bulletin of Soil and Water Conservation, 2023,43(3):301-309.
    [30] Leh M D K, Matlock M D, Cummings E C, et al. Quantifying and mapping multiple ecosystem services change in West Africa[J]. Agriculture, Ecosystems&Environment, 2013,165:6-18.
    [31] 林彤,杨木壮,吴大放,等.基于InVEST-PLUS模型的碳储量空间关联性及预测:以广东省为例[J].中国环境科学,2022,42(10):4827-4839. Lin Tong, Yang Muzhuang, Wu Dafang, et al. Spatial correlation and prediction of land use carbon storage based on the InVEST-PLUS model:A case study in Guangdong Province[J]. China Environmental Science, 2022,42(10):4827-4839.
    [32] 杨洁,谢保鹏,张德罡.基于InVEST和CA-Markov模型的黄河流域碳储量时空变化研究[J].中国生态农业学报(中英文),2021,29(6):1018-1029. Yang Jie, Xie Baopeng, Zhang Degang. Spatio-temporal evolution of carbon stocks in the Yellow River basin based on InVEST and CA-Markov models[J]. Chinese Journal of Eco-Agriculture, 2021,29(6):1018-1029.
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万海峰,蒙友波,陈洋,赵祖伦,罗洁琼,张朝睿.黔中城市群碳储量对土地利用/覆被变化的响应及脆弱性[J].水土保持通报,2024,44(1):443-452

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  • 收稿日期:2023-01-18
  • 最后修改日期:2023-09-05
  • 在线发布日期: 2024-04-26